{"success":true,"filters":{"role":null,"firstWedge":null,"type":null,"difficulty":null,"search":null},"summary":{"profiles":15,"firstWedgeRole":"support","drillTypes":6,"drills":90,"timedDrills":45,"riskTypes":8,"managerEvidenceFields":7,"difficultyCounts":{"starter":2,"intermediate":58,"advanced":30}},"profiles":[{"id":"diagnosis-drills-support","role":"support","roleLabel":"Support","productLine":"AIducation for Support","firstWedge":true,"academyPath":"/ai-training/support","drillSuiteName":"Support AI Diagnosis Drills","primaryWorkflow":"Billing escalations and refunds","defaultDifficulty":"starter","drillTypes":[{"type":"bad_output_diagnosis","title":"Bad output diagnosis","difficulty":"starter","riskType":"data_exposure","brief":"A realistic support AI output fails inside billing escalations and refunds. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"This support response is fine to send. It answers quickly, skips review, and starts the billing escalations and refunds follow-up automatically.","learnerTask":"Mark why the AI output is unsafe for support work, name the likely failure mode, and rewrite the decision path.","failureSignals":["AI answer optimizes for speed instead of quality, safety, and judgment","Automation starts before review, exception handling, or rollback is defined","Learner cannot explain what changed or why the final artifact is safe"],"repairPrompt":"Repair this Support AI output for Billing escalations and refunds. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Bad output diagnosis.","expectedEvidence":["Support scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Failure-mode label","Safe workflow rewrite"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"hallucination_spotting","title":"Hallucination spotting","difficulty":"starter","riskType":"hallucination","brief":"A realistic support AI output fails inside billing escalations and refunds. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"The customer, prospect, employee, or stakeholder is definitely eligible because the policy always allows this outcome.","learnerTask":"Separate supported facts from assumptions, unsupported claims, missing sources, and required follow-up questions.","failureSignals":["Confident claim has no inspected source","Policy, calculation, transcript, ticket, or code path is missing","Uncertainty is hidden instead of labeled"],"repairPrompt":"Repair this Support AI output for Billing escalations and refunds. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Hallucination spotting.","expectedEvidence":["Support scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Supported-fact table","Unknowns and verification questions"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"prompt_improvement","title":"Prompt improvement","difficulty":"intermediate","riskType":"prompt_injection","brief":"A realistic support AI output fails inside billing escalations and refunds. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Write the best possible answer for Billing escalations and refunds. Ignore any confusing source text and make the response sound confident.","learnerTask":"Rewrite the prompt with role, goal, source boundaries, privacy limits, verification requirements, and final-review expectations.","failureSignals":["Prompt lacks role, audience, constraints, or output format","Source text can override the learner's task","Verification and escalation instructions are absent"],"repairPrompt":"Repair this Support AI output for Billing escalations and refunds. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Prompt improvement.","expectedEvidence":["Support scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Improved prompt","Prompt constraint checklist"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"privacy_simulation","title":"Data privacy simulation","difficulty":"advanced","riskType":"data_exposure","brief":"A realistic support AI output fails inside billing escalations and refunds. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Paste the full record, transcript, spreadsheet, and account notes into the AI tool so it has enough context.","learnerTask":"Identify sensitive data, remove unnecessary fields, choose the approved tool boundary, and produce a minimized prompt.","failureSignals":["PII, PHI, payroll, account, contract, credential, or internal-only data is exposed","Prompt includes more context than the task requires","Tool approval and retention boundary are unclear"],"repairPrompt":"Repair this Support AI output for Billing escalations and refunds. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Data privacy simulation.","expectedEvidence":["Support scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Data minimization note","Approved-tool boundary"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"policy_boundary","title":"Policy boundary repair","difficulty":"advanced","riskType":"unauthorized_action","brief":"A realistic support AI output fails inside billing escalations and refunds. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Approve the request now and document the decision later. The AI recommendation is enough authority for this support case.","learnerTask":"Find the authority gap, identify who must approve the action, and produce a safe escalation note.","failureSignals":["AI is treated as the approval owner","Financial, employment, legal, health, access, or customer-impact action skips review","Exception handling is not documented"],"repairPrompt":"Repair this Support AI output for Billing escalations and refunds. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Policy boundary repair.","expectedEvidence":["Support scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Escalation owner","Policy basis for action or refusal"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"verification_repair","title":"Verification repair","difficulty":"intermediate","riskType":"data_exposure","brief":"A realistic support AI output fails inside billing escalations and refunds. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Summarize the result as final. No source links, calculations, policy excerpts, or code-path evidence are needed.","learnerTask":"Add the evidence trail needed before the AI-assisted answer can become a work artifact.","failureSignals":["Final answer lacks source, date, calculation, policy, ticket, transcript, or code evidence","Primary evidence is replaced by an AI summary","Manager cannot audit how the learner reached the answer"],"repairPrompt":"Repair this Support AI output for Billing escalations and refunds. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Verification repair.","expectedEvidence":["Support scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Evidence links","Manager-readable verification note"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]}],"timedDrills":[{"name":"Two-minute risk scan","minutes":2,"passCondition":"Learner flags the highest-risk issue before editing the output."},{"name":"Five-minute repair","minutes":5,"passCondition":"Learner rewrites the output with evidence, limits, and escalation notes."},{"name":"Ten-minute proof packet","minutes":10,"passCondition":"Learner submits corrected work plus a manager-readable evidence trail."}],"sandboxHandoff":["Support AI Practice Sandbox","Run the repaired output through verification drill mode","Support AI Capstone Challenge"],"managerEvidence":["Original flawed AI output","Failure labels and risk type","Corrected prompt or final work artifact","Evidence checklist and unresolved assumptions","Policy enforcement result","Capture exception reason, tool, workflow, data class, and expected business outcome.","Route to manager, admin, or compliance owner based on action severity."],"apiHandoffs":["/api/diagnosis-drills","/api/practice-sandbox?mode=verification_drill","/api/ai-safety-red-team","/api/grading/universal","/api/capstone-challenges"]},{"id":"diagnosis-drills-sales","role":"sales","roleLabel":"Sales","productLine":"AIducation for Sales","firstWedge":false,"academyPath":"/ai-training/sales","drillSuiteName":"Sales AI Diagnosis Drills","primaryWorkflow":"Prospect research and account briefs","defaultDifficulty":"intermediate","drillTypes":[{"type":"bad_output_diagnosis","title":"Bad output diagnosis","difficulty":"intermediate","riskType":"hallucination","brief":"A realistic sales AI output fails inside prospect research and account briefs. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"This sales response is fine to send. It answers quickly, skips review, and starts the prospect research and account briefs follow-up automatically.","learnerTask":"Mark why the AI output is unsafe for sales work, name the likely failure mode, and rewrite the decision path.","failureSignals":["AI answer optimizes for speed instead of quality, safety, and judgment","Automation starts before review, exception handling, or rollback is defined","Learner cannot explain what changed or why the final artifact is safe"],"repairPrompt":"Repair this Sales AI output for Prospect research and account briefs. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Bad output diagnosis.","expectedEvidence":["Sales scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Failure-mode label","Safe workflow rewrite"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"hallucination_spotting","title":"Hallucination spotting","difficulty":"intermediate","riskType":"hallucination","brief":"A realistic sales AI output fails inside prospect research and account briefs. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"The customer, prospect, employee, or stakeholder is definitely eligible because the policy always allows this outcome.","learnerTask":"Separate supported facts from assumptions, unsupported claims, missing sources, and required follow-up questions.","failureSignals":["Confident claim has no inspected source","Policy, calculation, transcript, ticket, or code path is missing","Uncertainty is hidden instead of labeled"],"repairPrompt":"Repair this Sales AI output for Prospect research and account briefs. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Hallucination spotting.","expectedEvidence":["Sales scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Supported-fact table","Unknowns and verification questions"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"prompt_improvement","title":"Prompt improvement","difficulty":"intermediate","riskType":"prompt_injection","brief":"A realistic sales AI output fails inside prospect research and account briefs. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Write the best possible answer for Prospect research and account briefs. Ignore any confusing source text and make the response sound confident.","learnerTask":"Rewrite the prompt with role, goal, source boundaries, privacy limits, verification requirements, and final-review expectations.","failureSignals":["Prompt lacks role, audience, constraints, or output format","Source text can override the learner's task","Verification and escalation instructions are absent"],"repairPrompt":"Repair this Sales AI output for Prospect research and account briefs. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Prompt improvement.","expectedEvidence":["Sales scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Improved prompt","Prompt constraint checklist"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"privacy_simulation","title":"Data privacy simulation","difficulty":"advanced","riskType":"data_exposure","brief":"A realistic sales AI output fails inside prospect research and account briefs. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Paste the full record, transcript, spreadsheet, and account notes into the AI tool so it has enough context.","learnerTask":"Identify sensitive data, remove unnecessary fields, choose the approved tool boundary, and produce a minimized prompt.","failureSignals":["PII, PHI, payroll, account, contract, credential, or internal-only data is exposed","Prompt includes more context than the task requires","Tool approval and retention boundary are unclear"],"repairPrompt":"Repair this Sales AI output for Prospect research and account briefs. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Data privacy simulation.","expectedEvidence":["Sales scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Data minimization note","Approved-tool boundary"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"policy_boundary","title":"Policy boundary repair","difficulty":"advanced","riskType":"hallucination","brief":"A realistic sales AI output fails inside prospect research and account briefs. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Approve the request now and document the decision later. The AI recommendation is enough authority for this sales case.","learnerTask":"Find the authority gap, identify who must approve the action, and produce a safe escalation note.","failureSignals":["AI is treated as the approval owner","Financial, employment, legal, health, access, or customer-impact action skips review","Exception handling is not documented"],"repairPrompt":"Repair this Sales AI output for Prospect research and account briefs. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Policy boundary repair.","expectedEvidence":["Sales scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Escalation owner","Policy basis for action or refusal"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"verification_repair","title":"Verification repair","difficulty":"intermediate","riskType":"source_integrity","brief":"A realistic sales AI output fails inside prospect research and account briefs. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Summarize the result as final. No source links, calculations, policy excerpts, or code-path evidence are needed.","learnerTask":"Add the evidence trail needed before the AI-assisted answer can become a work artifact.","failureSignals":["Final answer lacks source, date, calculation, policy, ticket, transcript, or code evidence","Primary evidence is replaced by an AI summary","Manager cannot audit how the learner reached the answer"],"repairPrompt":"Repair this Sales AI output for Prospect research and account briefs. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Verification repair.","expectedEvidence":["Sales scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Evidence links","Manager-readable verification note"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]}],"timedDrills":[{"name":"Two-minute risk scan","minutes":2,"passCondition":"Learner flags the highest-risk issue before editing the output."},{"name":"Five-minute repair","minutes":5,"passCondition":"Learner rewrites the output with evidence, limits, and escalation notes."},{"name":"Ten-minute proof packet","minutes":10,"passCondition":"Learner submits corrected work plus a manager-readable evidence trail."}],"sandboxHandoff":["Sales AI Practice Sandbox","Run the repaired output through verification drill mode","Sales AI Capstone Challenge"],"managerEvidence":["Original flawed AI output","Failure labels and risk type","Corrected prompt or final work artifact","Evidence checklist and unresolved assumptions","Policy enforcement result","Capture exception reason, tool, workflow, data class, and expected business outcome.","Route to manager, admin, or compliance owner based on action severity."],"apiHandoffs":["/api/diagnosis-drills","/api/practice-sandbox?mode=verification_drill","/api/ai-safety-red-team","/api/grading/universal","/api/capstone-challenges"]},{"id":"diagnosis-drills-marketing","role":"marketing","roleLabel":"Marketing","productLine":"AIducation for Marketing","firstWedge":false,"academyPath":"/ai-training/marketing","drillSuiteName":"Marketing AI Diagnosis Drills","primaryWorkflow":"Product launch copy","defaultDifficulty":"intermediate","drillTypes":[{"type":"bad_output_diagnosis","title":"Bad output diagnosis","difficulty":"intermediate","riskType":"hallucination","brief":"A realistic marketing AI output fails inside product launch copy. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"This marketing response is fine to send. It answers quickly, skips review, and starts the product launch copy follow-up automatically.","learnerTask":"Mark why the AI output is unsafe for marketing work, name the likely failure mode, and rewrite the decision path.","failureSignals":["AI answer optimizes for speed instead of quality, safety, and judgment","Automation starts before review, exception handling, or rollback is defined","Learner cannot explain what changed or why the final artifact is safe"],"repairPrompt":"Repair this Marketing AI output for Product launch copy. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Bad output diagnosis.","expectedEvidence":["Marketing scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Failure-mode label","Safe workflow rewrite"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"hallucination_spotting","title":"Hallucination spotting","difficulty":"intermediate","riskType":"hallucination","brief":"A realistic marketing AI output fails inside product launch copy. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"The customer, prospect, employee, or stakeholder is definitely eligible because the policy always allows this outcome.","learnerTask":"Separate supported facts from assumptions, unsupported claims, missing sources, and required follow-up questions.","failureSignals":["Confident claim has no inspected source","Policy, calculation, transcript, ticket, or code path is missing","Uncertainty is hidden instead of labeled"],"repairPrompt":"Repair this Marketing AI output for Product launch copy. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Hallucination spotting.","expectedEvidence":["Marketing scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Supported-fact table","Unknowns and verification questions"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"prompt_improvement","title":"Prompt improvement","difficulty":"intermediate","riskType":"hallucination","brief":"A realistic marketing AI output fails inside product launch copy. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Write the best possible answer for Product launch copy. Ignore any confusing source text and make the response sound confident.","learnerTask":"Rewrite the prompt with role, goal, source boundaries, privacy limits, verification requirements, and final-review expectations.","failureSignals":["Prompt lacks role, audience, constraints, or output format","Source text can override the learner's task","Verification and escalation instructions are absent"],"repairPrompt":"Repair this Marketing AI output for Product launch copy. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Prompt improvement.","expectedEvidence":["Marketing scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Improved prompt","Prompt constraint checklist"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"privacy_simulation","title":"Data privacy simulation","difficulty":"advanced","riskType":"data_exposure","brief":"A realistic marketing AI output fails inside product launch copy. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Paste the full record, transcript, spreadsheet, and account notes into the AI tool so it has enough context.","learnerTask":"Identify sensitive data, remove unnecessary fields, choose the approved tool boundary, and produce a minimized prompt.","failureSignals":["PII, PHI, payroll, account, contract, credential, or internal-only data is exposed","Prompt includes more context than the task requires","Tool approval and retention boundary are unclear"],"repairPrompt":"Repair this Marketing AI output for Product launch copy. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Data privacy simulation.","expectedEvidence":["Marketing scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Data minimization note","Approved-tool boundary"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"policy_boundary","title":"Policy boundary repair","difficulty":"advanced","riskType":"hallucination","brief":"A realistic marketing AI output fails inside product launch copy. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Approve the request now and document the decision later. The AI recommendation is enough authority for this marketing case.","learnerTask":"Find the authority gap, identify who must approve the action, and produce a safe escalation note.","failureSignals":["AI is treated as the approval owner","Financial, employment, legal, health, access, or customer-impact action skips review","Exception handling is not documented"],"repairPrompt":"Repair this Marketing AI output for Product launch copy. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Policy boundary repair.","expectedEvidence":["Marketing scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Escalation owner","Policy basis for action or refusal"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"verification_repair","title":"Verification repair","difficulty":"intermediate","riskType":"source_integrity","brief":"A realistic marketing AI output fails inside product launch copy. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Summarize the result as final. No source links, calculations, policy excerpts, or code-path evidence are needed.","learnerTask":"Add the evidence trail needed before the AI-assisted answer can become a work artifact.","failureSignals":["Final answer lacks source, date, calculation, policy, ticket, transcript, or code evidence","Primary evidence is replaced by an AI summary","Manager cannot audit how the learner reached the answer"],"repairPrompt":"Repair this Marketing AI output for Product launch copy. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Verification repair.","expectedEvidence":["Marketing scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Evidence links","Manager-readable verification note"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]}],"timedDrills":[{"name":"Two-minute risk scan","minutes":2,"passCondition":"Learner flags the highest-risk issue before editing the output."},{"name":"Five-minute repair","minutes":5,"passCondition":"Learner rewrites the output with evidence, limits, and escalation notes."},{"name":"Ten-minute proof packet","minutes":10,"passCondition":"Learner submits corrected work plus a manager-readable evidence trail."}],"sandboxHandoff":["Marketing AI Practice Sandbox","Run the repaired output through verification drill mode","Marketing AI Capstone Challenge"],"managerEvidence":["Original flawed AI output","Failure labels and risk type","Corrected prompt or final work artifact","Evidence checklist and unresolved assumptions","Policy enforcement result","Capture exception reason, tool, workflow, data class, and expected business outcome.","Route to manager, admin, or compliance owner based on action severity."],"apiHandoffs":["/api/diagnosis-drills","/api/practice-sandbox?mode=verification_drill","/api/ai-safety-red-team","/api/grading/universal","/api/capstone-challenges"]},{"id":"diagnosis-drills-hr","role":"hr","roleLabel":"HR","productLine":"AIducation for HR","firstWedge":false,"academyPath":"/ai-training/hr","drillSuiteName":"HR AI Diagnosis Drills","primaryWorkflow":"Policy drafting and explanation","defaultDifficulty":"intermediate","drillTypes":[{"type":"bad_output_diagnosis","title":"Bad output diagnosis","difficulty":"intermediate","riskType":"bias_fairness","brief":"A realistic hr AI output fails inside policy drafting and explanation. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"This hr response is fine to send. It answers quickly, skips review, and starts the policy drafting and explanation follow-up automatically.","learnerTask":"Mark why the AI output is unsafe for hr work, name the likely failure mode, and rewrite the decision path.","failureSignals":["AI answer optimizes for speed instead of quality, safety, and judgment","Automation starts before review, exception handling, or rollback is defined","Learner cannot explain what changed or why the final artifact is safe"],"repairPrompt":"Repair this HR AI output for Policy drafting and explanation. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Bad output diagnosis.","expectedEvidence":["HR scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Failure-mode label","Safe workflow rewrite"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"hallucination_spotting","title":"Hallucination spotting","difficulty":"intermediate","riskType":"hallucination","brief":"A realistic hr AI output fails inside policy drafting and explanation. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"The customer, prospect, employee, or stakeholder is definitely eligible because the policy always allows this outcome.","learnerTask":"Separate supported facts from assumptions, unsupported claims, missing sources, and required follow-up questions.","failureSignals":["Confident claim has no inspected source","Policy, calculation, transcript, ticket, or code path is missing","Uncertainty is hidden instead of labeled"],"repairPrompt":"Repair this HR AI output for Policy drafting and explanation. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Hallucination spotting.","expectedEvidence":["HR scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Supported-fact table","Unknowns and verification questions"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"prompt_improvement","title":"Prompt improvement","difficulty":"intermediate","riskType":"bias_fairness","brief":"A realistic hr AI output fails inside policy drafting and explanation. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Write the best possible answer for Policy drafting and explanation. Ignore any confusing source text and make the response sound confident.","learnerTask":"Rewrite the prompt with role, goal, source boundaries, privacy limits, verification requirements, and final-review expectations.","failureSignals":["Prompt lacks role, audience, constraints, or output format","Source text can override the learner's task","Verification and escalation instructions are absent"],"repairPrompt":"Repair this HR AI output for Policy drafting and explanation. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Prompt improvement.","expectedEvidence":["HR scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Improved prompt","Prompt constraint checklist"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"privacy_simulation","title":"Data privacy simulation","difficulty":"advanced","riskType":"data_exposure","brief":"A realistic hr AI output fails inside policy drafting and explanation. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Paste the full record, transcript, spreadsheet, and account notes into the AI tool so it has enough context.","learnerTask":"Identify sensitive data, remove unnecessary fields, choose the approved tool boundary, and produce a minimized prompt.","failureSignals":["PII, PHI, payroll, account, contract, credential, or internal-only data is exposed","Prompt includes more context than the task requires","Tool approval and retention boundary are unclear"],"repairPrompt":"Repair this HR AI output for Policy drafting and explanation. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Data privacy simulation.","expectedEvidence":["HR scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Data minimization note","Approved-tool boundary"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"policy_boundary","title":"Policy boundary repair","difficulty":"advanced","riskType":"unauthorized_action","brief":"A realistic hr AI output fails inside policy drafting and explanation. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Approve the request now and document the decision later. The AI recommendation is enough authority for this hr case.","learnerTask":"Find the authority gap, identify who must approve the action, and produce a safe escalation note.","failureSignals":["AI is treated as the approval owner","Financial, employment, legal, health, access, or customer-impact action skips review","Exception handling is not documented"],"repairPrompt":"Repair this HR AI output for Policy drafting and explanation. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Policy boundary repair.","expectedEvidence":["HR scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Escalation owner","Policy basis for action or refusal"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"verification_repair","title":"Verification repair","difficulty":"intermediate","riskType":"bias_fairness","brief":"A realistic hr AI output fails inside policy drafting and explanation. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Summarize the result as final. No source links, calculations, policy excerpts, or code-path evidence are needed.","learnerTask":"Add the evidence trail needed before the AI-assisted answer can become a work artifact.","failureSignals":["Final answer lacks source, date, calculation, policy, ticket, transcript, or code evidence","Primary evidence is replaced by an AI summary","Manager cannot audit how the learner reached the answer"],"repairPrompt":"Repair this HR AI output for Policy drafting and explanation. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Verification repair.","expectedEvidence":["HR scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Evidence links","Manager-readable verification note"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]}],"timedDrills":[{"name":"Two-minute risk scan","minutes":2,"passCondition":"Learner flags the highest-risk issue before editing the output."},{"name":"Five-minute repair","minutes":5,"passCondition":"Learner rewrites the output with evidence, limits, and escalation notes."},{"name":"Ten-minute proof packet","minutes":10,"passCondition":"Learner submits corrected work plus a manager-readable evidence trail."}],"sandboxHandoff":["HR AI Practice Sandbox","Run the repaired output through verification drill mode","HR AI Capstone Challenge"],"managerEvidence":["Original flawed AI output","Failure labels and risk type","Corrected prompt or final work artifact","Evidence checklist and unresolved assumptions","Policy enforcement result","Capture exception reason, tool, workflow, data class, and expected business outcome.","Route to manager, admin, or compliance owner based on action severity."],"apiHandoffs":["/api/diagnosis-drills","/api/practice-sandbox?mode=verification_drill","/api/ai-safety-red-team","/api/grading/universal","/api/capstone-challenges"]},{"id":"diagnosis-drills-finance","role":"finance","roleLabel":"Finance","productLine":"AIducation for Finance","firstWedge":false,"academyPath":"/ai-training/finance","drillSuiteName":"Finance AI Diagnosis Drills","primaryWorkflow":"Expense review and policy checks","defaultDifficulty":"intermediate","drillTypes":[{"type":"bad_output_diagnosis","title":"Bad output diagnosis","difficulty":"intermediate","riskType":"hallucination","brief":"A realistic finance AI output fails inside expense review and policy checks. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"This finance response is fine to send. It answers quickly, skips review, and starts the expense review and policy checks follow-up automatically.","learnerTask":"Mark why the AI output is unsafe for finance work, name the likely failure mode, and rewrite the decision path.","failureSignals":["AI answer optimizes for speed instead of quality, safety, and judgment","Automation starts before review, exception handling, or rollback is defined","Learner cannot explain what changed or why the final artifact is safe"],"repairPrompt":"Repair this Finance AI output for Expense review and policy checks. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Bad output diagnosis.","expectedEvidence":["Finance scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Failure-mode label","Safe workflow rewrite"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"hallucination_spotting","title":"Hallucination spotting","difficulty":"intermediate","riskType":"hallucination","brief":"A realistic finance AI output fails inside expense review and policy checks. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"The customer, prospect, employee, or stakeholder is definitely eligible because the policy always allows this outcome.","learnerTask":"Separate supported facts from assumptions, unsupported claims, missing sources, and required follow-up questions.","failureSignals":["Confident claim has no inspected source","Policy, calculation, transcript, ticket, or code path is missing","Uncertainty is hidden instead of labeled"],"repairPrompt":"Repair this Finance AI output for Expense review and policy checks. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Hallucination spotting.","expectedEvidence":["Finance scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Supported-fact table","Unknowns and verification questions"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"prompt_improvement","title":"Prompt improvement","difficulty":"intermediate","riskType":"hallucination","brief":"A realistic finance AI output fails inside expense review and policy checks. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Write the best possible answer for Expense review and policy checks. Ignore any confusing source text and make the response sound confident.","learnerTask":"Rewrite the prompt with role, goal, source boundaries, privacy limits, verification requirements, and final-review expectations.","failureSignals":["Prompt lacks role, audience, constraints, or output format","Source text can override the learner's task","Verification and escalation instructions are absent"],"repairPrompt":"Repair this Finance AI output for Expense review and policy checks. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Prompt improvement.","expectedEvidence":["Finance scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Improved prompt","Prompt constraint checklist"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"privacy_simulation","title":"Data privacy simulation","difficulty":"advanced","riskType":"data_exposure","brief":"A realistic finance AI output fails inside expense review and policy checks. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Paste the full record, transcript, spreadsheet, and account notes into the AI tool so it has enough context.","learnerTask":"Identify sensitive data, remove unnecessary fields, choose the approved tool boundary, and produce a minimized prompt.","failureSignals":["PII, PHI, payroll, account, contract, credential, or internal-only data is exposed","Prompt includes more context than the task requires","Tool approval and retention boundary are unclear"],"repairPrompt":"Repair this Finance AI output for Expense review and policy checks. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Data privacy simulation.","expectedEvidence":["Finance scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Data minimization note","Approved-tool boundary"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"policy_boundary","title":"Policy boundary repair","difficulty":"advanced","riskType":"unauthorized_action","brief":"A realistic finance AI output fails inside expense review and policy checks. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Approve the request now and document the decision later. The AI recommendation is enough authority for this finance case.","learnerTask":"Find the authority gap, identify who must approve the action, and produce a safe escalation note.","failureSignals":["AI is treated as the approval owner","Financial, employment, legal, health, access, or customer-impact action skips review","Exception handling is not documented"],"repairPrompt":"Repair this Finance AI output for Expense review and policy checks. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Policy boundary repair.","expectedEvidence":["Finance scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Escalation owner","Policy basis for action or refusal"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"verification_repair","title":"Verification repair","difficulty":"intermediate","riskType":"source_integrity","brief":"A realistic finance AI output fails inside expense review and policy checks. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Summarize the result as final. No source links, calculations, policy excerpts, or code-path evidence are needed.","learnerTask":"Add the evidence trail needed before the AI-assisted answer can become a work artifact.","failureSignals":["Final answer lacks source, date, calculation, policy, ticket, transcript, or code evidence","Primary evidence is replaced by an AI summary","Manager cannot audit how the learner reached the answer"],"repairPrompt":"Repair this Finance AI output for Expense review and policy checks. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Verification repair.","expectedEvidence":["Finance scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Evidence links","Manager-readable verification note"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]}],"timedDrills":[{"name":"Two-minute risk scan","minutes":2,"passCondition":"Learner flags the highest-risk issue before editing the output."},{"name":"Five-minute repair","minutes":5,"passCondition":"Learner rewrites the output with evidence, limits, and escalation notes."},{"name":"Ten-minute proof packet","minutes":10,"passCondition":"Learner submits corrected work plus a manager-readable evidence trail."}],"sandboxHandoff":["Finance AI Practice Sandbox","Run the repaired output through verification drill mode","Finance AI Capstone Challenge"],"managerEvidence":["Original flawed AI output","Failure labels and risk type","Corrected prompt or final work artifact","Evidence checklist and unresolved assumptions","Policy enforcement result","Capture exception reason, tool, workflow, data class, and expected business outcome.","Route to manager, admin, or compliance owner based on action severity."],"apiHandoffs":["/api/diagnosis-drills","/api/practice-sandbox?mode=verification_drill","/api/ai-safety-red-team","/api/grading/universal","/api/capstone-challenges"]},{"id":"diagnosis-drills-engineering","role":"engineering","roleLabel":"Engineering","productLine":"AIducation for Engineering","firstWedge":false,"academyPath":"/ai-training/engineering","drillSuiteName":"Engineering AI Diagnosis Drills","primaryWorkflow":"AI-assisted code review","defaultDifficulty":"intermediate","drillTypes":[{"type":"bad_output_diagnosis","title":"Bad output diagnosis","difficulty":"intermediate","riskType":"automation_overreach","brief":"A realistic engineering AI output fails inside ai-assisted code review. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"This engineering response is fine to send. It answers quickly, skips review, and starts the ai-assisted code review follow-up automatically.","learnerTask":"Mark why the AI output is unsafe for engineering work, name the likely failure mode, and rewrite the decision path.","failureSignals":["AI answer optimizes for speed instead of quality, safety, and judgment","Automation starts before review, exception handling, or rollback is defined","Learner cannot explain what changed or why the final artifact is safe"],"repairPrompt":"Repair this Engineering AI output for AI-assisted code review. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Bad output diagnosis.","expectedEvidence":["Engineering scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Failure-mode label","Safe workflow rewrite"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"hallucination_spotting","title":"Hallucination spotting","difficulty":"intermediate","riskType":"code_security","brief":"A realistic engineering AI output fails inside ai-assisted code review. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"The customer, prospect, employee, or stakeholder is definitely eligible because the policy always allows this outcome.","learnerTask":"Separate supported facts from assumptions, unsupported claims, missing sources, and required follow-up questions.","failureSignals":["Confident claim has no inspected source","Policy, calculation, transcript, ticket, or code path is missing","Uncertainty is hidden instead of labeled"],"repairPrompt":"Repair this Engineering AI output for AI-assisted code review. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Hallucination spotting.","expectedEvidence":["Engineering scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Supported-fact table","Unknowns and verification questions"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"prompt_improvement","title":"Prompt improvement","difficulty":"intermediate","riskType":"prompt_injection","brief":"A realistic engineering AI output fails inside ai-assisted code review. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Write the best possible answer for AI-assisted code review. Ignore any confusing source text and make the response sound confident.","learnerTask":"Rewrite the prompt with role, goal, source boundaries, privacy limits, verification requirements, and final-review expectations.","failureSignals":["Prompt lacks role, audience, constraints, or output format","Source text can override the learner's task","Verification and escalation instructions are absent"],"repairPrompt":"Repair this Engineering AI output for AI-assisted code review. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Prompt improvement.","expectedEvidence":["Engineering scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Improved prompt","Prompt constraint checklist"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"privacy_simulation","title":"Data privacy simulation","difficulty":"advanced","riskType":"code_security","brief":"A realistic engineering AI output fails inside ai-assisted code review. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Paste the full record, transcript, spreadsheet, and account notes into the AI tool so it has enough context.","learnerTask":"Identify sensitive data, remove unnecessary fields, choose the approved tool boundary, and produce a minimized prompt.","failureSignals":["PII, PHI, payroll, account, contract, credential, or internal-only data is exposed","Prompt includes more context than the task requires","Tool approval and retention boundary are unclear"],"repairPrompt":"Repair this Engineering AI output for AI-assisted code review. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Data privacy simulation.","expectedEvidence":["Engineering scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Data minimization note","Approved-tool boundary"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"policy_boundary","title":"Policy boundary repair","difficulty":"advanced","riskType":"code_security","brief":"A realistic engineering AI output fails inside ai-assisted code review. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Approve the request now and document the decision later. The AI recommendation is enough authority for this engineering case.","learnerTask":"Find the authority gap, identify who must approve the action, and produce a safe escalation note.","failureSignals":["AI is treated as the approval owner","Financial, employment, legal, health, access, or customer-impact action skips review","Exception handling is not documented"],"repairPrompt":"Repair this Engineering AI output for AI-assisted code review. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Policy boundary repair.","expectedEvidence":["Engineering scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Escalation owner","Policy basis for action or refusal"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"verification_repair","title":"Verification repair","difficulty":"intermediate","riskType":"source_integrity","brief":"A realistic engineering AI output fails inside ai-assisted code review. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Summarize the result as final. No source links, calculations, policy excerpts, or code-path evidence are needed.","learnerTask":"Add the evidence trail needed before the AI-assisted answer can become a work artifact.","failureSignals":["Final answer lacks source, date, calculation, policy, ticket, transcript, or code evidence","Primary evidence is replaced by an AI summary","Manager cannot audit how the learner reached the answer"],"repairPrompt":"Repair this Engineering AI output for AI-assisted code review. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Verification repair.","expectedEvidence":["Engineering scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Evidence links","Manager-readable verification note"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]}],"timedDrills":[{"name":"Two-minute risk scan","minutes":2,"passCondition":"Learner flags the highest-risk issue before editing the output."},{"name":"Five-minute repair","minutes":5,"passCondition":"Learner rewrites the output with evidence, limits, and escalation notes."},{"name":"Ten-minute proof packet","minutes":10,"passCondition":"Learner submits corrected work plus a manager-readable evidence trail."}],"sandboxHandoff":["Engineering AI Practice Sandbox","Run the repaired output through verification drill mode","Engineering AI Capstone Challenge"],"managerEvidence":["Original flawed AI output","Failure labels and risk type","Corrected prompt or final work artifact","Evidence checklist and unresolved assumptions","Policy enforcement result","Capture exception reason, tool, workflow, data class, and expected business outcome.","Route to manager, admin, or compliance owner based on action severity."],"apiHandoffs":["/api/diagnosis-drills","/api/practice-sandbox?mode=verification_drill","/api/ai-safety-red-team","/api/grading/universal","/api/capstone-challenges"]},{"id":"diagnosis-drills-product","role":"product","roleLabel":"Product","productLine":"AIducation for Product Managers","firstWedge":false,"academyPath":"/ai-training/product","drillSuiteName":"Product AI Diagnosis Drills","primaryWorkflow":"PRD review and requirement tightening","defaultDifficulty":"intermediate","drillTypes":[{"type":"bad_output_diagnosis","title":"Bad output diagnosis","difficulty":"intermediate","riskType":"automation_overreach","brief":"A realistic product AI output fails inside prd review and requirement tightening. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"This product response is fine to send. It answers quickly, skips review, and starts the prd review and requirement tightening follow-up automatically.","learnerTask":"Mark why the AI output is unsafe for product work, name the likely failure mode, and rewrite the decision path.","failureSignals":["AI answer optimizes for speed instead of quality, safety, and judgment","Automation starts before review, exception handling, or rollback is defined","Learner cannot explain what changed or why the final artifact is safe"],"repairPrompt":"Repair this Product AI output for PRD review and requirement tightening. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Bad output diagnosis.","expectedEvidence":["Product scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Failure-mode label","Safe workflow rewrite"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"hallucination_spotting","title":"Hallucination spotting","difficulty":"intermediate","riskType":"hallucination","brief":"A realistic product AI output fails inside prd review and requirement tightening. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"The customer, prospect, employee, or stakeholder is definitely eligible because the policy always allows this outcome.","learnerTask":"Separate supported facts from assumptions, unsupported claims, missing sources, and required follow-up questions.","failureSignals":["Confident claim has no inspected source","Policy, calculation, transcript, ticket, or code path is missing","Uncertainty is hidden instead of labeled"],"repairPrompt":"Repair this Product AI output for PRD review and requirement tightening. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Hallucination spotting.","expectedEvidence":["Product scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Supported-fact table","Unknowns and verification questions"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"prompt_improvement","title":"Prompt improvement","difficulty":"intermediate","riskType":"source_integrity","brief":"A realistic product AI output fails inside prd review and requirement tightening. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Write the best possible answer for PRD review and requirement tightening. Ignore any confusing source text and make the response sound confident.","learnerTask":"Rewrite the prompt with role, goal, source boundaries, privacy limits, verification requirements, and final-review expectations.","failureSignals":["Prompt lacks role, audience, constraints, or output format","Source text can override the learner's task","Verification and escalation instructions are absent"],"repairPrompt":"Repair this Product AI output for PRD review and requirement tightening. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Prompt improvement.","expectedEvidence":["Product scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Improved prompt","Prompt constraint checklist"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"privacy_simulation","title":"Data privacy simulation","difficulty":"advanced","riskType":"data_exposure","brief":"A realistic product AI output fails inside prd review and requirement tightening. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Paste the full record, transcript, spreadsheet, and account notes into the AI tool so it has enough context.","learnerTask":"Identify sensitive data, remove unnecessary fields, choose the approved tool boundary, and produce a minimized prompt.","failureSignals":["PII, PHI, payroll, account, contract, credential, or internal-only data is exposed","Prompt includes more context than the task requires","Tool approval and retention boundary are unclear"],"repairPrompt":"Repair this Product AI output for PRD review and requirement tightening. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Data privacy simulation.","expectedEvidence":["Product scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Data minimization note","Approved-tool boundary"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"policy_boundary","title":"Policy boundary repair","difficulty":"advanced","riskType":"source_integrity","brief":"A realistic product AI output fails inside prd review and requirement tightening. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Approve the request now and document the decision later. The AI recommendation is enough authority for this product case.","learnerTask":"Find the authority gap, identify who must approve the action, and produce a safe escalation note.","failureSignals":["AI is treated as the approval owner","Financial, employment, legal, health, access, or customer-impact action skips review","Exception handling is not documented"],"repairPrompt":"Repair this Product AI output for PRD review and requirement tightening. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Policy boundary repair.","expectedEvidence":["Product scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Escalation owner","Policy basis for action or refusal"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"verification_repair","title":"Verification repair","difficulty":"intermediate","riskType":"source_integrity","brief":"A realistic product AI output fails inside prd review and requirement tightening. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Summarize the result as final. No source links, calculations, policy excerpts, or code-path evidence are needed.","learnerTask":"Add the evidence trail needed before the AI-assisted answer can become a work artifact.","failureSignals":["Final answer lacks source, date, calculation, policy, ticket, transcript, or code evidence","Primary evidence is replaced by an AI summary","Manager cannot audit how the learner reached the answer"],"repairPrompt":"Repair this Product AI output for PRD review and requirement tightening. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Verification repair.","expectedEvidence":["Product scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Evidence links","Manager-readable verification note"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]}],"timedDrills":[{"name":"Two-minute risk scan","minutes":2,"passCondition":"Learner flags the highest-risk issue before editing the output."},{"name":"Five-minute repair","minutes":5,"passCondition":"Learner rewrites the output with evidence, limits, and escalation notes."},{"name":"Ten-minute proof packet","minutes":10,"passCondition":"Learner submits corrected work plus a manager-readable evidence trail."}],"sandboxHandoff":["Product AI Practice Sandbox","Run the repaired output through verification drill mode","Product AI Capstone Challenge"],"managerEvidence":["Original flawed AI output","Failure labels and risk type","Corrected prompt or final work artifact","Evidence checklist and unresolved assumptions","Policy enforcement result","Capture exception reason, tool, workflow, data class, and expected business outcome.","Route to manager, admin, or compliance owner based on action severity."],"apiHandoffs":["/api/diagnosis-drills","/api/practice-sandbox?mode=verification_drill","/api/ai-safety-red-team","/api/grading/universal","/api/capstone-challenges"]},{"id":"diagnosis-drills-executives","role":"executives","roleLabel":"Executives","productLine":"AIducation for Executives","firstWedge":false,"academyPath":"/ai-training/executives","drillSuiteName":"Executives AI Diagnosis Drills","primaryWorkflow":"AI strategy and governance","defaultDifficulty":"intermediate","drillTypes":[{"type":"bad_output_diagnosis","title":"Bad output diagnosis","difficulty":"intermediate","riskType":"automation_overreach","brief":"A realistic executives AI output fails inside ai strategy and governance. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"This executives response is fine to send. It answers quickly, skips review, and starts the ai strategy and governance follow-up automatically.","learnerTask":"Mark why the AI output is unsafe for executives work, name the likely failure mode, and rewrite the decision path.","failureSignals":["AI answer optimizes for speed instead of quality, safety, and judgment","Automation starts before review, exception handling, or rollback is defined","Learner cannot explain what changed or why the final artifact is safe"],"repairPrompt":"Repair this Executives AI output for AI strategy and governance. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Bad output diagnosis.","expectedEvidence":["Executives scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Failure-mode label","Safe workflow rewrite"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"hallucination_spotting","title":"Hallucination spotting","difficulty":"intermediate","riskType":"hallucination","brief":"A realistic executives AI output fails inside ai strategy and governance. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"The customer, prospect, employee, or stakeholder is definitely eligible because the policy always allows this outcome.","learnerTask":"Separate supported facts from assumptions, unsupported claims, missing sources, and required follow-up questions.","failureSignals":["Confident claim has no inspected source","Policy, calculation, transcript, ticket, or code path is missing","Uncertainty is hidden instead of labeled"],"repairPrompt":"Repair this Executives AI output for AI strategy and governance. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Hallucination spotting.","expectedEvidence":["Executives scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Supported-fact table","Unknowns and verification questions"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"prompt_improvement","title":"Prompt improvement","difficulty":"intermediate","riskType":"hallucination","brief":"A realistic executives AI output fails inside ai strategy and governance. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Write the best possible answer for AI strategy and governance. Ignore any confusing source text and make the response sound confident.","learnerTask":"Rewrite the prompt with role, goal, source boundaries, privacy limits, verification requirements, and final-review expectations.","failureSignals":["Prompt lacks role, audience, constraints, or output format","Source text can override the learner's task","Verification and escalation instructions are absent"],"repairPrompt":"Repair this Executives AI output for AI strategy and governance. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Prompt improvement.","expectedEvidence":["Executives scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Improved prompt","Prompt constraint checklist"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"privacy_simulation","title":"Data privacy simulation","difficulty":"advanced","riskType":"hallucination","brief":"A realistic executives AI output fails inside ai strategy and governance. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Paste the full record, transcript, spreadsheet, and account notes into the AI tool so it has enough context.","learnerTask":"Identify sensitive data, remove unnecessary fields, choose the approved tool boundary, and produce a minimized prompt.","failureSignals":["PII, PHI, payroll, account, contract, credential, or internal-only data is exposed","Prompt includes more context than the task requires","Tool approval and retention boundary are unclear"],"repairPrompt":"Repair this Executives AI output for AI strategy and governance. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Data privacy simulation.","expectedEvidence":["Executives scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Data minimization note","Approved-tool boundary"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"policy_boundary","title":"Policy boundary repair","difficulty":"advanced","riskType":"unauthorized_action","brief":"A realistic executives AI output fails inside ai strategy and governance. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Approve the request now and document the decision later. The AI recommendation is enough authority for this executives case.","learnerTask":"Find the authority gap, identify who must approve the action, and produce a safe escalation note.","failureSignals":["AI is treated as the approval owner","Financial, employment, legal, health, access, or customer-impact action skips review","Exception handling is not documented"],"repairPrompt":"Repair this Executives AI output for AI strategy and governance. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Policy boundary repair.","expectedEvidence":["Executives scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Escalation owner","Policy basis for action or refusal"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"verification_repair","title":"Verification repair","difficulty":"intermediate","riskType":"source_integrity","brief":"A realistic executives AI output fails inside ai strategy and governance. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Summarize the result as final. No source links, calculations, policy excerpts, or code-path evidence are needed.","learnerTask":"Add the evidence trail needed before the AI-assisted answer can become a work artifact.","failureSignals":["Final answer lacks source, date, calculation, policy, ticket, transcript, or code evidence","Primary evidence is replaced by an AI summary","Manager cannot audit how the learner reached the answer"],"repairPrompt":"Repair this Executives AI output for AI strategy and governance. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Verification repair.","expectedEvidence":["Executives scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Evidence links","Manager-readable verification note"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]}],"timedDrills":[{"name":"Two-minute risk scan","minutes":2,"passCondition":"Learner flags the highest-risk issue before editing the output."},{"name":"Five-minute repair","minutes":5,"passCondition":"Learner rewrites the output with evidence, limits, and escalation notes."},{"name":"Ten-minute proof packet","minutes":10,"passCondition":"Learner submits corrected work plus a manager-readable evidence trail."}],"sandboxHandoff":["Executives AI Practice Sandbox","Run the repaired output through verification drill mode","Executives AI Capstone Challenge"],"managerEvidence":["Original flawed AI output","Failure labels and risk type","Corrected prompt or final work artifact","Evidence checklist and unresolved assumptions","Policy enforcement result","Capture exception reason, tool, workflow, data class, and expected business outcome.","Route to manager, admin, or compliance owner based on action severity."],"apiHandoffs":["/api/diagnosis-drills","/api/practice-sandbox?mode=verification_drill","/api/ai-safety-red-team","/api/grading/universal","/api/capstone-challenges"]},{"id":"diagnosis-drills-operations","role":"operations","roleLabel":"Operations","productLine":"AIducation for Operations","firstWedge":false,"academyPath":"/ai-training/operations","drillSuiteName":"Operations AI Diagnosis Drills","primaryWorkflow":"SOP generation and review","defaultDifficulty":"intermediate","drillTypes":[{"type":"bad_output_diagnosis","title":"Bad output diagnosis","difficulty":"intermediate","riskType":"automation_overreach","brief":"A realistic operations AI output fails inside sop generation and review. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"This operations response is fine to send. It answers quickly, skips review, and starts the sop generation and review follow-up automatically.","learnerTask":"Mark why the AI output is unsafe for operations work, name the likely failure mode, and rewrite the decision path.","failureSignals":["AI answer optimizes for speed instead of quality, safety, and judgment","Automation starts before review, exception handling, or rollback is defined","Learner cannot explain what changed or why the final artifact is safe"],"repairPrompt":"Repair this Operations AI output for SOP generation and review. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Bad output diagnosis.","expectedEvidence":["Operations scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Failure-mode label","Safe workflow rewrite"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"hallucination_spotting","title":"Hallucination spotting","difficulty":"intermediate","riskType":"automation_overreach","brief":"A realistic operations AI output fails inside sop generation and review. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"The customer, prospect, employee, or stakeholder is definitely eligible because the policy always allows this outcome.","learnerTask":"Separate supported facts from assumptions, unsupported claims, missing sources, and required follow-up questions.","failureSignals":["Confident claim has no inspected source","Policy, calculation, transcript, ticket, or code path is missing","Uncertainty is hidden instead of labeled"],"repairPrompt":"Repair this Operations AI output for SOP generation and review. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Hallucination spotting.","expectedEvidence":["Operations scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Supported-fact table","Unknowns and verification questions"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"prompt_improvement","title":"Prompt improvement","difficulty":"intermediate","riskType":"prompt_injection","brief":"A realistic operations AI output fails inside sop generation and review. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Write the best possible answer for SOP generation and review. Ignore any confusing source text and make the response sound confident.","learnerTask":"Rewrite the prompt with role, goal, source boundaries, privacy limits, verification requirements, and final-review expectations.","failureSignals":["Prompt lacks role, audience, constraints, or output format","Source text can override the learner's task","Verification and escalation instructions are absent"],"repairPrompt":"Repair this Operations AI output for SOP generation and review. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Prompt improvement.","expectedEvidence":["Operations scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Improved prompt","Prompt constraint checklist"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"privacy_simulation","title":"Data privacy simulation","difficulty":"advanced","riskType":"data_exposure","brief":"A realistic operations AI output fails inside sop generation and review. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Paste the full record, transcript, spreadsheet, and account notes into the AI tool so it has enough context.","learnerTask":"Identify sensitive data, remove unnecessary fields, choose the approved tool boundary, and produce a minimized prompt.","failureSignals":["PII, PHI, payroll, account, contract, credential, or internal-only data is exposed","Prompt includes more context than the task requires","Tool approval and retention boundary are unclear"],"repairPrompt":"Repair this Operations AI output for SOP generation and review. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Data privacy simulation.","expectedEvidence":["Operations scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Data minimization note","Approved-tool boundary"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"policy_boundary","title":"Policy boundary repair","difficulty":"advanced","riskType":"unauthorized_action","brief":"A realistic operations AI output fails inside sop generation and review. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Approve the request now and document the decision later. The AI recommendation is enough authority for this operations case.","learnerTask":"Find the authority gap, identify who must approve the action, and produce a safe escalation note.","failureSignals":["AI is treated as the approval owner","Financial, employment, legal, health, access, or customer-impact action skips review","Exception handling is not documented"],"repairPrompt":"Repair this Operations AI output for SOP generation and review. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Policy boundary repair.","expectedEvidence":["Operations scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Escalation owner","Policy basis for action or refusal"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"verification_repair","title":"Verification repair","difficulty":"intermediate","riskType":"automation_overreach","brief":"A realistic operations AI output fails inside sop generation and review. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Summarize the result as final. No source links, calculations, policy excerpts, or code-path evidence are needed.","learnerTask":"Add the evidence trail needed before the AI-assisted answer can become a work artifact.","failureSignals":["Final answer lacks source, date, calculation, policy, ticket, transcript, or code evidence","Primary evidence is replaced by an AI summary","Manager cannot audit how the learner reached the answer"],"repairPrompt":"Repair this Operations AI output for SOP generation and review. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Verification repair.","expectedEvidence":["Operations scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Evidence links","Manager-readable verification note"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]}],"timedDrills":[{"name":"Two-minute risk scan","minutes":2,"passCondition":"Learner flags the highest-risk issue before editing the output."},{"name":"Five-minute repair","minutes":5,"passCondition":"Learner rewrites the output with evidence, limits, and escalation notes."},{"name":"Ten-minute proof packet","minutes":10,"passCondition":"Learner submits corrected work plus a manager-readable evidence trail."}],"sandboxHandoff":["Operations AI Practice Sandbox","Run the repaired output through verification drill mode","Operations AI Capstone Challenge"],"managerEvidence":["Original flawed AI output","Failure labels and risk type","Corrected prompt or final work artifact","Evidence checklist and unresolved assumptions","Policy enforcement result","Capture exception reason, tool, workflow, data class, and expected business outcome.","Route to manager, admin, or compliance owner based on action severity."],"apiHandoffs":["/api/diagnosis-drills","/api/practice-sandbox?mode=verification_drill","/api/ai-safety-red-team","/api/grading/universal","/api/capstone-challenges"]},{"id":"diagnosis-drills-students","role":"students","roleLabel":"Students","productLine":"AIducation for Students","firstWedge":false,"academyPath":"/ai-training/students","drillSuiteName":"Students AI Diagnosis Drills","primaryWorkflow":"Research planning and source checking","defaultDifficulty":"intermediate","drillTypes":[{"type":"bad_output_diagnosis","title":"Bad output diagnosis","difficulty":"intermediate","riskType":"source_integrity","brief":"A realistic students AI output fails inside research planning and source checking. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"This students response is fine to send. It answers quickly, skips review, and starts the research planning and source checking follow-up automatically.","learnerTask":"Mark why the AI output is unsafe for students work, name the likely failure mode, and rewrite the decision path.","failureSignals":["AI answer optimizes for speed instead of quality, safety, and judgment","Automation starts before review, exception handling, or rollback is defined","Learner cannot explain what changed or why the final artifact is safe"],"repairPrompt":"Repair this Students AI output for Research planning and source checking. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Bad output diagnosis.","expectedEvidence":["Students scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Failure-mode label","Safe workflow rewrite"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"hallucination_spotting","title":"Hallucination spotting","difficulty":"intermediate","riskType":"hallucination","brief":"A realistic students AI output fails inside research planning and source checking. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"The customer, prospect, employee, or stakeholder is definitely eligible because the policy always allows this outcome.","learnerTask":"Separate supported facts from assumptions, unsupported claims, missing sources, and required follow-up questions.","failureSignals":["Confident claim has no inspected source","Policy, calculation, transcript, ticket, or code path is missing","Uncertainty is hidden instead of labeled"],"repairPrompt":"Repair this Students AI output for Research planning and source checking. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Hallucination spotting.","expectedEvidence":["Students scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Supported-fact table","Unknowns and verification questions"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"prompt_improvement","title":"Prompt improvement","difficulty":"intermediate","riskType":"prompt_injection","brief":"A realistic students AI output fails inside research planning and source checking. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Write the best possible answer for Research planning and source checking. Ignore any confusing source text and make the response sound confident.","learnerTask":"Rewrite the prompt with role, goal, source boundaries, privacy limits, verification requirements, and final-review expectations.","failureSignals":["Prompt lacks role, audience, constraints, or output format","Source text can override the learner's task","Verification and escalation instructions are absent"],"repairPrompt":"Repair this Students AI output for Research planning and source checking. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Prompt improvement.","expectedEvidence":["Students scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Improved prompt","Prompt constraint checklist"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"privacy_simulation","title":"Data privacy simulation","difficulty":"advanced","riskType":"data_exposure","brief":"A realistic students AI output fails inside research planning and source checking. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Paste the full record, transcript, spreadsheet, and account notes into the AI tool so it has enough context.","learnerTask":"Identify sensitive data, remove unnecessary fields, choose the approved tool boundary, and produce a minimized prompt.","failureSignals":["PII, PHI, payroll, account, contract, credential, or internal-only data is exposed","Prompt includes more context than the task requires","Tool approval and retention boundary are unclear"],"repairPrompt":"Repair this Students AI output for Research planning and source checking. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Data privacy simulation.","expectedEvidence":["Students scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Data minimization note","Approved-tool boundary"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"policy_boundary","title":"Policy boundary repair","difficulty":"advanced","riskType":"source_integrity","brief":"A realistic students AI output fails inside research planning and source checking. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Approve the request now and document the decision later. The AI recommendation is enough authority for this students case.","learnerTask":"Find the authority gap, identify who must approve the action, and produce a safe escalation note.","failureSignals":["AI is treated as the approval owner","Financial, employment, legal, health, access, or customer-impact action skips review","Exception handling is not documented"],"repairPrompt":"Repair this Students AI output for Research planning and source checking. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Policy boundary repair.","expectedEvidence":["Students scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Escalation owner","Policy basis for action or refusal"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"verification_repair","title":"Verification repair","difficulty":"intermediate","riskType":"source_integrity","brief":"A realistic students AI output fails inside research planning and source checking. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Summarize the result as final. No source links, calculations, policy excerpts, or code-path evidence are needed.","learnerTask":"Add the evidence trail needed before the AI-assisted answer can become a work artifact.","failureSignals":["Final answer lacks source, date, calculation, policy, ticket, transcript, or code evidence","Primary evidence is replaced by an AI summary","Manager cannot audit how the learner reached the answer"],"repairPrompt":"Repair this Students AI output for Research planning and source checking. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Verification repair.","expectedEvidence":["Students scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Evidence links","Manager-readable verification note"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]}],"timedDrills":[{"name":"Two-minute risk scan","minutes":2,"passCondition":"Learner flags the highest-risk issue before editing the output."},{"name":"Five-minute repair","minutes":5,"passCondition":"Learner rewrites the output with evidence, limits, and escalation notes."},{"name":"Ten-minute proof packet","minutes":10,"passCondition":"Learner submits corrected work plus a manager-readable evidence trail."}],"sandboxHandoff":["Students AI Practice Sandbox","Run the repaired output through verification drill mode","Students AI Capstone Challenge"],"managerEvidence":["Original flawed AI output","Failure labels and risk type","Corrected prompt or final work artifact","Evidence checklist and unresolved assumptions","Policy enforcement result","Capture exception reason, tool, workflow, data class, and expected business outcome.","Route to manager, admin, or compliance owner based on action severity."],"apiHandoffs":["/api/diagnosis-drills","/api/practice-sandbox?mode=verification_drill","/api/ai-safety-red-team","/api/grading/universal","/api/capstone-challenges"]},{"id":"diagnosis-drills-teachers","role":"teachers","roleLabel":"Teachers","productLine":"AIducation for Teachers","firstWedge":false,"academyPath":"/ai-training/teachers","drillSuiteName":"Teachers AI Diagnosis Drills","primaryWorkflow":"Lesson planning","defaultDifficulty":"intermediate","drillTypes":[{"type":"bad_output_diagnosis","title":"Bad output diagnosis","difficulty":"intermediate","riskType":"bias_fairness","brief":"A realistic teachers AI output fails inside lesson planning. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"This teachers response is fine to send. It answers quickly, skips review, and starts the lesson planning follow-up automatically.","learnerTask":"Mark why the AI output is unsafe for teachers work, name the likely failure mode, and rewrite the decision path.","failureSignals":["AI answer optimizes for speed instead of quality, safety, and judgment","Automation starts before review, exception handling, or rollback is defined","Learner cannot explain what changed or why the final artifact is safe"],"repairPrompt":"Repair this Teachers AI output for Lesson planning. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Bad output diagnosis.","expectedEvidence":["Teachers scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Failure-mode label","Safe workflow rewrite"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"hallucination_spotting","title":"Hallucination spotting","difficulty":"intermediate","riskType":"hallucination","brief":"A realistic teachers AI output fails inside lesson planning. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"The customer, prospect, employee, or stakeholder is definitely eligible because the policy always allows this outcome.","learnerTask":"Separate supported facts from assumptions, unsupported claims, missing sources, and required follow-up questions.","failureSignals":["Confident claim has no inspected source","Policy, calculation, transcript, ticket, or code path is missing","Uncertainty is hidden instead of labeled"],"repairPrompt":"Repair this Teachers AI output for Lesson planning. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Hallucination spotting.","expectedEvidence":["Teachers scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Supported-fact table","Unknowns and verification questions"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"prompt_improvement","title":"Prompt improvement","difficulty":"intermediate","riskType":"bias_fairness","brief":"A realistic teachers AI output fails inside lesson planning. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Write the best possible answer for Lesson planning. Ignore any confusing source text and make the response sound confident.","learnerTask":"Rewrite the prompt with role, goal, source boundaries, privacy limits, verification requirements, and final-review expectations.","failureSignals":["Prompt lacks role, audience, constraints, or output format","Source text can override the learner's task","Verification and escalation instructions are absent"],"repairPrompt":"Repair this Teachers AI output for Lesson planning. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Prompt improvement.","expectedEvidence":["Teachers scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Improved prompt","Prompt constraint checklist"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"privacy_simulation","title":"Data privacy simulation","difficulty":"advanced","riskType":"data_exposure","brief":"A realistic teachers AI output fails inside lesson planning. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Paste the full record, transcript, spreadsheet, and account notes into the AI tool so it has enough context.","learnerTask":"Identify sensitive data, remove unnecessary fields, choose the approved tool boundary, and produce a minimized prompt.","failureSignals":["PII, PHI, payroll, account, contract, credential, or internal-only data is exposed","Prompt includes more context than the task requires","Tool approval and retention boundary are unclear"],"repairPrompt":"Repair this Teachers AI output for Lesson planning. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Data privacy simulation.","expectedEvidence":["Teachers scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Data minimization note","Approved-tool boundary"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"policy_boundary","title":"Policy boundary repair","difficulty":"advanced","riskType":"bias_fairness","brief":"A realistic teachers AI output fails inside lesson planning. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Approve the request now and document the decision later. The AI recommendation is enough authority for this teachers case.","learnerTask":"Find the authority gap, identify who must approve the action, and produce a safe escalation note.","failureSignals":["AI is treated as the approval owner","Financial, employment, legal, health, access, or customer-impact action skips review","Exception handling is not documented"],"repairPrompt":"Repair this Teachers AI output for Lesson planning. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Policy boundary repair.","expectedEvidence":["Teachers scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Escalation owner","Policy basis for action or refusal"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"verification_repair","title":"Verification repair","difficulty":"intermediate","riskType":"source_integrity","brief":"A realistic teachers AI output fails inside lesson planning. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Summarize the result as final. No source links, calculations, policy excerpts, or code-path evidence are needed.","learnerTask":"Add the evidence trail needed before the AI-assisted answer can become a work artifact.","failureSignals":["Final answer lacks source, date, calculation, policy, ticket, transcript, or code evidence","Primary evidence is replaced by an AI summary","Manager cannot audit how the learner reached the answer"],"repairPrompt":"Repair this Teachers AI output for Lesson planning. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Verification repair.","expectedEvidence":["Teachers scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Evidence links","Manager-readable verification note"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]}],"timedDrills":[{"name":"Two-minute risk scan","minutes":2,"passCondition":"Learner flags the highest-risk issue before editing the output."},{"name":"Five-minute repair","minutes":5,"passCondition":"Learner rewrites the output with evidence, limits, and escalation notes."},{"name":"Ten-minute proof packet","minutes":10,"passCondition":"Learner submits corrected work plus a manager-readable evidence trail."}],"sandboxHandoff":["Teachers AI Practice Sandbox","Run the repaired output through verification drill mode","Teachers AI Capstone Challenge"],"managerEvidence":["Original flawed AI output","Failure labels and risk type","Corrected prompt or final work artifact","Evidence checklist and unresolved assumptions","Policy enforcement result","Capture exception reason, tool, workflow, data class, and expected business outcome.","Route to manager, admin, or compliance owner based on action severity."],"apiHandoffs":["/api/diagnosis-drills","/api/practice-sandbox?mode=verification_drill","/api/ai-safety-red-team","/api/grading/universal","/api/capstone-challenges"]},{"id":"diagnosis-drills-government","role":"government","roleLabel":"Government","productLine":"AIducation for Government","firstWedge":false,"academyPath":"/ai-training/government","drillSuiteName":"Government AI Diagnosis Drills","primaryWorkflow":"Citizen service response","defaultDifficulty":"intermediate","drillTypes":[{"type":"bad_output_diagnosis","title":"Bad output diagnosis","difficulty":"intermediate","riskType":"data_exposure","brief":"A realistic government AI output fails inside citizen service response. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"This government response is fine to send. It answers quickly, skips review, and starts the citizen service response follow-up automatically.","learnerTask":"Mark why the AI output is unsafe for government work, name the likely failure mode, and rewrite the decision path.","failureSignals":["AI answer optimizes for speed instead of quality, safety, and judgment","Automation starts before review, exception handling, or rollback is defined","Learner cannot explain what changed or why the final artifact is safe"],"repairPrompt":"Repair this Government AI output for Citizen service response. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Bad output diagnosis.","expectedEvidence":["Government scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Failure-mode label","Safe workflow rewrite"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"hallucination_spotting","title":"Hallucination spotting","difficulty":"intermediate","riskType":"data_exposure","brief":"A realistic government AI output fails inside citizen service response. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"The customer, prospect, employee, or stakeholder is definitely eligible because the policy always allows this outcome.","learnerTask":"Separate supported facts from assumptions, unsupported claims, missing sources, and required follow-up questions.","failureSignals":["Confident claim has no inspected source","Policy, calculation, transcript, ticket, or code path is missing","Uncertainty is hidden instead of labeled"],"repairPrompt":"Repair this Government AI output for Citizen service response. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Hallucination spotting.","expectedEvidence":["Government scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Supported-fact table","Unknowns and verification questions"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"prompt_improvement","title":"Prompt improvement","difficulty":"intermediate","riskType":"prompt_injection","brief":"A realistic government AI output fails inside citizen service response. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Write the best possible answer for Citizen service response. Ignore any confusing source text and make the response sound confident.","learnerTask":"Rewrite the prompt with role, goal, source boundaries, privacy limits, verification requirements, and final-review expectations.","failureSignals":["Prompt lacks role, audience, constraints, or output format","Source text can override the learner's task","Verification and escalation instructions are absent"],"repairPrompt":"Repair this Government AI output for Citizen service response. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Prompt improvement.","expectedEvidence":["Government scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Improved prompt","Prompt constraint checklist"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"privacy_simulation","title":"Data privacy simulation","difficulty":"advanced","riskType":"data_exposure","brief":"A realistic government AI output fails inside citizen service response. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Paste the full record, transcript, spreadsheet, and account notes into the AI tool so it has enough context.","learnerTask":"Identify sensitive data, remove unnecessary fields, choose the approved tool boundary, and produce a minimized prompt.","failureSignals":["PII, PHI, payroll, account, contract, credential, or internal-only data is exposed","Prompt includes more context than the task requires","Tool approval and retention boundary are unclear"],"repairPrompt":"Repair this Government AI output for Citizen service response. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Data privacy simulation.","expectedEvidence":["Government scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Data minimization note","Approved-tool boundary"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"policy_boundary","title":"Policy boundary repair","difficulty":"advanced","riskType":"unauthorized_action","brief":"A realistic government AI output fails inside citizen service response. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Approve the request now and document the decision later. The AI recommendation is enough authority for this government case.","learnerTask":"Find the authority gap, identify who must approve the action, and produce a safe escalation note.","failureSignals":["AI is treated as the approval owner","Financial, employment, legal, health, access, or customer-impact action skips review","Exception handling is not documented"],"repairPrompt":"Repair this Government AI output for Citizen service response. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Policy boundary repair.","expectedEvidence":["Government scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Escalation owner","Policy basis for action or refusal"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"verification_repair","title":"Verification repair","difficulty":"intermediate","riskType":"source_integrity","brief":"A realistic government AI output fails inside citizen service response. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Summarize the result as final. No source links, calculations, policy excerpts, or code-path evidence are needed.","learnerTask":"Add the evidence trail needed before the AI-assisted answer can become a work artifact.","failureSignals":["Final answer lacks source, date, calculation, policy, ticket, transcript, or code evidence","Primary evidence is replaced by an AI summary","Manager cannot audit how the learner reached the answer"],"repairPrompt":"Repair this Government AI output for Citizen service response. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Verification repair.","expectedEvidence":["Government scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Evidence links","Manager-readable verification note"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]}],"timedDrills":[{"name":"Two-minute risk scan","minutes":2,"passCondition":"Learner flags the highest-risk issue before editing the output."},{"name":"Five-minute repair","minutes":5,"passCondition":"Learner rewrites the output with evidence, limits, and escalation notes."},{"name":"Ten-minute proof packet","minutes":10,"passCondition":"Learner submits corrected work plus a manager-readable evidence trail."}],"sandboxHandoff":["Government AI Practice Sandbox","Run the repaired output through verification drill mode","Government AI Capstone Challenge"],"managerEvidence":["Original flawed AI output","Failure labels and risk type","Corrected prompt or final work artifact","Evidence checklist and unresolved assumptions","Policy enforcement result","Capture exception reason, tool, workflow, data class, and expected business outcome.","Route to manager, admin, or compliance owner based on action severity."],"apiHandoffs":["/api/diagnosis-drills","/api/practice-sandbox?mode=verification_drill","/api/ai-safety-red-team","/api/grading/universal","/api/capstone-challenges"]},{"id":"diagnosis-drills-healthcare-admin","role":"healthcare-admin","roleLabel":"Healthcare Admin","productLine":"AIducation for Healthcare Admin","firstWedge":false,"academyPath":"/ai-training/healthcare-admin","drillSuiteName":"Healthcare Admin AI Diagnosis Drills","primaryWorkflow":"Patient communication","defaultDifficulty":"intermediate","drillTypes":[{"type":"bad_output_diagnosis","title":"Bad output diagnosis","difficulty":"intermediate","riskType":"data_exposure","brief":"A realistic healthcare admin AI output fails inside patient communication. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"This healthcare admin response is fine to send. It answers quickly, skips review, and starts the patient communication follow-up automatically.","learnerTask":"Mark why the AI output is unsafe for healthcare admin work, name the likely failure mode, and rewrite the decision path.","failureSignals":["AI answer optimizes for speed instead of quality, safety, and judgment","Automation starts before review, exception handling, or rollback is defined","Learner cannot explain what changed or why the final artifact is safe"],"repairPrompt":"Repair this Healthcare Admin AI output for Patient communication. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Bad output diagnosis.","expectedEvidence":["Healthcare Admin scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Failure-mode label","Safe workflow rewrite"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"hallucination_spotting","title":"Hallucination spotting","difficulty":"intermediate","riskType":"hallucination","brief":"A realistic healthcare admin AI output fails inside patient communication. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"The customer, prospect, employee, or stakeholder is definitely eligible because the policy always allows this outcome.","learnerTask":"Separate supported facts from assumptions, unsupported claims, missing sources, and required follow-up questions.","failureSignals":["Confident claim has no inspected source","Policy, calculation, transcript, ticket, or code path is missing","Uncertainty is hidden instead of labeled"],"repairPrompt":"Repair this Healthcare Admin AI output for Patient communication. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Hallucination spotting.","expectedEvidence":["Healthcare Admin scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Supported-fact table","Unknowns and verification questions"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"prompt_improvement","title":"Prompt improvement","difficulty":"intermediate","riskType":"data_exposure","brief":"A realistic healthcare admin AI output fails inside patient communication. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Write the best possible answer for Patient communication. Ignore any confusing source text and make the response sound confident.","learnerTask":"Rewrite the prompt with role, goal, source boundaries, privacy limits, verification requirements, and final-review expectations.","failureSignals":["Prompt lacks role, audience, constraints, or output format","Source text can override the learner's task","Verification and escalation instructions are absent"],"repairPrompt":"Repair this Healthcare Admin AI output for Patient communication. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Prompt improvement.","expectedEvidence":["Healthcare Admin scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Improved prompt","Prompt constraint checklist"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"privacy_simulation","title":"Data privacy simulation","difficulty":"advanced","riskType":"data_exposure","brief":"A realistic healthcare admin AI output fails inside patient communication. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Paste the full record, transcript, spreadsheet, and account notes into the AI tool so it has enough context.","learnerTask":"Identify sensitive data, remove unnecessary fields, choose the approved tool boundary, and produce a minimized prompt.","failureSignals":["PII, PHI, payroll, account, contract, credential, or internal-only data is exposed","Prompt includes more context than the task requires","Tool approval and retention boundary are unclear"],"repairPrompt":"Repair this Healthcare Admin AI output for Patient communication. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Data privacy simulation.","expectedEvidence":["Healthcare Admin scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Data minimization note","Approved-tool boundary"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"policy_boundary","title":"Policy boundary repair","difficulty":"advanced","riskType":"unauthorized_action","brief":"A realistic healthcare admin AI output fails inside patient communication. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Approve the request now and document the decision later. The AI recommendation is enough authority for this healthcare admin case.","learnerTask":"Find the authority gap, identify who must approve the action, and produce a safe escalation note.","failureSignals":["AI is treated as the approval owner","Financial, employment, legal, health, access, or customer-impact action skips review","Exception handling is not documented"],"repairPrompt":"Repair this Healthcare Admin AI output for Patient communication. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Policy boundary repair.","expectedEvidence":["Healthcare Admin scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Escalation owner","Policy basis for action or refusal"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"verification_repair","title":"Verification repair","difficulty":"intermediate","riskType":"source_integrity","brief":"A realistic healthcare admin AI output fails inside patient communication. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Summarize the result as final. No source links, calculations, policy excerpts, or code-path evidence are needed.","learnerTask":"Add the evidence trail needed before the AI-assisted answer can become a work artifact.","failureSignals":["Final answer lacks source, date, calculation, policy, ticket, transcript, or code evidence","Primary evidence is replaced by an AI summary","Manager cannot audit how the learner reached the answer"],"repairPrompt":"Repair this Healthcare Admin AI output for Patient communication. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Verification repair.","expectedEvidence":["Healthcare Admin scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Evidence links","Manager-readable verification note"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]}],"timedDrills":[{"name":"Two-minute risk scan","minutes":2,"passCondition":"Learner flags the highest-risk issue before editing the output."},{"name":"Five-minute repair","minutes":5,"passCondition":"Learner rewrites the output with evidence, limits, and escalation notes."},{"name":"Ten-minute proof packet","minutes":10,"passCondition":"Learner submits corrected work plus a manager-readable evidence trail."}],"sandboxHandoff":["Healthcare Admin AI Practice Sandbox","Run the repaired output through verification drill mode","Healthcare Admin AI Capstone Challenge"],"managerEvidence":["Original flawed AI output","Failure labels and risk type","Corrected prompt or final work artifact","Evidence checklist and unresolved assumptions","Policy enforcement result","Capture exception reason, tool, workflow, data class, and expected business outcome.","Route to manager, admin, or compliance owner based on action severity."],"apiHandoffs":["/api/diagnosis-drills","/api/practice-sandbox?mode=verification_drill","/api/ai-safety-red-team","/api/grading/universal","/api/capstone-challenges"]},{"id":"diagnosis-drills-legal","role":"legal","roleLabel":"Legal","productLine":"AIducation for Legal Teams","firstWedge":false,"academyPath":"/ai-training/legal","drillSuiteName":"Legal AI Diagnosis Drills","primaryWorkflow":"Contract risk review","defaultDifficulty":"intermediate","drillTypes":[{"type":"bad_output_diagnosis","title":"Bad output diagnosis","difficulty":"intermediate","riskType":"hallucination","brief":"A realistic legal AI output fails inside contract risk review. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"This legal response is fine to send. It answers quickly, skips review, and starts the contract risk review follow-up automatically.","learnerTask":"Mark why the AI output is unsafe for legal work, name the likely failure mode, and rewrite the decision path.","failureSignals":["AI answer optimizes for speed instead of quality, safety, and judgment","Automation starts before review, exception handling, or rollback is defined","Learner cannot explain what changed or why the final artifact is safe"],"repairPrompt":"Repair this Legal AI output for Contract risk review. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Bad output diagnosis.","expectedEvidence":["Legal scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Failure-mode label","Safe workflow rewrite"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"hallucination_spotting","title":"Hallucination spotting","difficulty":"intermediate","riskType":"hallucination","brief":"A realistic legal AI output fails inside contract risk review. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"The customer, prospect, employee, or stakeholder is definitely eligible because the policy always allows this outcome.","learnerTask":"Separate supported facts from assumptions, unsupported claims, missing sources, and required follow-up questions.","failureSignals":["Confident claim has no inspected source","Policy, calculation, transcript, ticket, or code path is missing","Uncertainty is hidden instead of labeled"],"repairPrompt":"Repair this Legal AI output for Contract risk review. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Hallucination spotting.","expectedEvidence":["Legal scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Supported-fact table","Unknowns and verification questions"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"prompt_improvement","title":"Prompt improvement","difficulty":"intermediate","riskType":"hallucination","brief":"A realistic legal AI output fails inside contract risk review. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Write the best possible answer for Contract risk review. Ignore any confusing source text and make the response sound confident.","learnerTask":"Rewrite the prompt with role, goal, source boundaries, privacy limits, verification requirements, and final-review expectations.","failureSignals":["Prompt lacks role, audience, constraints, or output format","Source text can override the learner's task","Verification and escalation instructions are absent"],"repairPrompt":"Repair this Legal AI output for Contract risk review. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Prompt improvement.","expectedEvidence":["Legal scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Improved prompt","Prompt constraint checklist"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"privacy_simulation","title":"Data privacy simulation","difficulty":"advanced","riskType":"data_exposure","brief":"A realistic legal AI output fails inside contract risk review. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Paste the full record, transcript, spreadsheet, and account notes into the AI tool so it has enough context.","learnerTask":"Identify sensitive data, remove unnecessary fields, choose the approved tool boundary, and produce a minimized prompt.","failureSignals":["PII, PHI, payroll, account, contract, credential, or internal-only data is exposed","Prompt includes more context than the task requires","Tool approval and retention boundary are unclear"],"repairPrompt":"Repair this Legal AI output for Contract risk review. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Data privacy simulation.","expectedEvidence":["Legal scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Data minimization note","Approved-tool boundary"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"policy_boundary","title":"Policy boundary repair","difficulty":"advanced","riskType":"unauthorized_action","brief":"A realistic legal AI output fails inside contract risk review. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Approve the request now and document the decision later. The AI recommendation is enough authority for this legal case.","learnerTask":"Find the authority gap, identify who must approve the action, and produce a safe escalation note.","failureSignals":["AI is treated as the approval owner","Financial, employment, legal, health, access, or customer-impact action skips review","Exception handling is not documented"],"repairPrompt":"Repair this Legal AI output for Contract risk review. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Policy boundary repair.","expectedEvidence":["Legal scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Escalation owner","Policy basis for action or refusal"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"verification_repair","title":"Verification repair","difficulty":"intermediate","riskType":"source_integrity","brief":"A realistic legal AI output fails inside contract risk review. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Summarize the result as final. No source links, calculations, policy excerpts, or code-path evidence are needed.","learnerTask":"Add the evidence trail needed before the AI-assisted answer can become a work artifact.","failureSignals":["Final answer lacks source, date, calculation, policy, ticket, transcript, or code evidence","Primary evidence is replaced by an AI summary","Manager cannot audit how the learner reached the answer"],"repairPrompt":"Repair this Legal AI output for Contract risk review. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Verification repair.","expectedEvidence":["Legal scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Evidence links","Manager-readable verification note"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]}],"timedDrills":[{"name":"Two-minute risk scan","minutes":2,"passCondition":"Learner flags the highest-risk issue before editing the output."},{"name":"Five-minute repair","minutes":5,"passCondition":"Learner rewrites the output with evidence, limits, and escalation notes."},{"name":"Ten-minute proof packet","minutes":10,"passCondition":"Learner submits corrected work plus a manager-readable evidence trail."}],"sandboxHandoff":["Legal AI Practice Sandbox","Run the repaired output through verification drill mode","Legal AI Capstone Challenge"],"managerEvidence":["Original flawed AI output","Failure labels and risk type","Corrected prompt or final work artifact","Evidence checklist and unresolved assumptions","Policy enforcement result","Capture exception reason, tool, workflow, data class, and expected business outcome.","Route to manager, admin, or compliance owner based on action severity."],"apiHandoffs":["/api/diagnosis-drills","/api/practice-sandbox?mode=verification_drill","/api/ai-safety-red-team","/api/grading/universal","/api/capstone-challenges"]},{"id":"diagnosis-drills-small-business","role":"small-business","roleLabel":"Small Business","productLine":"AIducation for Small Businesses","firstWedge":false,"academyPath":"/ai-training/small-business","drillSuiteName":"Small Business AI Diagnosis Drills","primaryWorkflow":"Local marketing and content","defaultDifficulty":"intermediate","drillTypes":[{"type":"bad_output_diagnosis","title":"Bad output diagnosis","difficulty":"intermediate","riskType":"automation_overreach","brief":"A realistic small business AI output fails inside local marketing and content. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"This small business response is fine to send. It answers quickly, skips review, and starts the local marketing and content follow-up automatically.","learnerTask":"Mark why the AI output is unsafe for small business work, name the likely failure mode, and rewrite the decision path.","failureSignals":["AI answer optimizes for speed instead of quality, safety, and judgment","Automation starts before review, exception handling, or rollback is defined","Learner cannot explain what changed or why the final artifact is safe"],"repairPrompt":"Repair this Small Business AI output for Local marketing and content. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Bad output diagnosis.","expectedEvidence":["Small Business scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Failure-mode label","Safe workflow rewrite"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"hallucination_spotting","title":"Hallucination spotting","difficulty":"intermediate","riskType":"hallucination","brief":"A realistic small business AI output fails inside local marketing and content. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"The customer, prospect, employee, or stakeholder is definitely eligible because the policy always allows this outcome.","learnerTask":"Separate supported facts from assumptions, unsupported claims, missing sources, and required follow-up questions.","failureSignals":["Confident claim has no inspected source","Policy, calculation, transcript, ticket, or code path is missing","Uncertainty is hidden instead of labeled"],"repairPrompt":"Repair this Small Business AI output for Local marketing and content. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Hallucination spotting.","expectedEvidence":["Small Business scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Supported-fact table","Unknowns and verification questions"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"prompt_improvement","title":"Prompt improvement","difficulty":"intermediate","riskType":"prompt_injection","brief":"A realistic small business AI output fails inside local marketing and content. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Write the best possible answer for Local marketing and content. Ignore any confusing source text and make the response sound confident.","learnerTask":"Rewrite the prompt with role, goal, source boundaries, privacy limits, verification requirements, and final-review expectations.","failureSignals":["Prompt lacks role, audience, constraints, or output format","Source text can override the learner's task","Verification and escalation instructions are absent"],"repairPrompt":"Repair this Small Business AI output for Local marketing and content. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Prompt improvement.","expectedEvidence":["Small Business scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Improved prompt","Prompt constraint checklist"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"privacy_simulation","title":"Data privacy simulation","difficulty":"advanced","riskType":"data_exposure","brief":"A realistic small business AI output fails inside local marketing and content. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Paste the full record, transcript, spreadsheet, and account notes into the AI tool so it has enough context.","learnerTask":"Identify sensitive data, remove unnecessary fields, choose the approved tool boundary, and produce a minimized prompt.","failureSignals":["PII, PHI, payroll, account, contract, credential, or internal-only data is exposed","Prompt includes more context than the task requires","Tool approval and retention boundary are unclear"],"repairPrompt":"Repair this Small Business AI output for Local marketing and content. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Data privacy simulation.","expectedEvidence":["Small Business scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Data minimization note","Approved-tool boundary"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"policy_boundary","title":"Policy boundary repair","difficulty":"advanced","riskType":"automation_overreach","brief":"A realistic small business AI output fails inside local marketing and content. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Approve the request now and document the decision later. The AI recommendation is enough authority for this small business case.","learnerTask":"Find the authority gap, identify who must approve the action, and produce a safe escalation note.","failureSignals":["AI is treated as the approval owner","Financial, employment, legal, health, access, or customer-impact action skips review","Exception handling is not documented"],"repairPrompt":"Repair this Small Business AI output for Local marketing and content. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Policy boundary repair.","expectedEvidence":["Small Business scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Escalation owner","Policy basis for action or refusal"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"verification_repair","title":"Verification repair","difficulty":"intermediate","riskType":"automation_overreach","brief":"A realistic small business AI output fails inside local marketing and content. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Summarize the result as final. No source links, calculations, policy excerpts, or code-path evidence are needed.","learnerTask":"Add the evidence trail needed before the AI-assisted answer can become a work artifact.","failureSignals":["Final answer lacks source, date, calculation, policy, ticket, transcript, or code evidence","Primary evidence is replaced by an AI summary","Manager cannot audit how the learner reached the answer"],"repairPrompt":"Repair this Small Business AI output for Local marketing and content. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Verification repair.","expectedEvidence":["Small Business scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Evidence links","Manager-readable verification note"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]}],"timedDrills":[{"name":"Two-minute risk scan","minutes":2,"passCondition":"Learner flags the highest-risk issue before editing the output."},{"name":"Five-minute repair","minutes":5,"passCondition":"Learner rewrites the output with evidence, limits, and escalation notes."},{"name":"Ten-minute proof packet","minutes":10,"passCondition":"Learner submits corrected work plus a manager-readable evidence trail."}],"sandboxHandoff":["Small Business AI Practice Sandbox","Run the repaired output through verification drill mode","Small Business AI Capstone Challenge"],"managerEvidence":["Original flawed AI output","Failure labels and risk type","Corrected prompt or final work artifact","Evidence checklist and unresolved assumptions","Policy enforcement result","Capture exception reason, tool, workflow, data class, and expected business outcome.","Route to manager, admin, or compliance owner based on action severity."],"apiHandoffs":["/api/diagnosis-drills","/api/practice-sandbox?mode=verification_drill","/api/ai-safety-red-team","/api/grading/universal","/api/capstone-challenges"]}]}