{"success":true,"filters":{"role":null,"firstWedge":null,"type":null,"difficulty":"advanced","search":null},"summary":{"profiles":15,"firstWedgeRole":"support","drillTypes":6,"drills":30,"timedDrills":45,"riskTypes":7,"managerEvidenceFields":7,"difficultyCounts":{"starter":0,"intermediate":0,"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":"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"]}],"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":"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"]}],"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":"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"]}],"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":"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"]}],"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":"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"]}],"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":"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"]}],"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":"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"]}],"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":"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"]}],"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":"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"]}],"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":"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"]}],"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":"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"]}],"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":"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"]}],"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":"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"]}],"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":"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"]}],"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":"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"]}],"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"]}]}