{"success":true,"filters":{"role":null,"firstWedge":null,"type":"hallucination_spotting","difficulty":null,"search":null},"summary":{"profiles":15,"firstWedgeRole":"support","drillTypes":6,"drills":15,"timedDrills":45,"riskTypes":4,"managerEvidenceFields":7,"difficultyCounts":{"starter":1,"intermediate":14,"advanced":0}},"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":"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"]}],"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":"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"]}],"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":"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"]}],"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":"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"]}],"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":"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"]}],"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":"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"]}],"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":"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"]}],"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":"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"]}],"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":"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"]}],"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":"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"]}],"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":"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"]}],"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":"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"]}],"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":"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"]}],"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":"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"]}],"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":"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"]}],"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"]}]}