{"success":true,"filters":{"role":null,"firstWedge":true,"type":null,"difficulty":null,"search":null},"summary":{"profiles":1,"firstWedgeRole":"support","drillTypes":6,"drills":6,"timedDrills":3,"riskTypes":4,"managerEvidenceFields":7,"difficultyCounts":{"starter":2,"intermediate":2,"advanced":2}},"profiles":[{"id":"diagnosis-drills-support","role":"support","roleLabel":"Support","productLine":"AIducation for Support","firstWedge":true,"academyPath":"/ai-training/support","drillSuiteName":"Support AI Diagnosis Drills","primaryWorkflow":"Billing escalations and refunds","defaultDifficulty":"starter","drillTypes":[{"type":"bad_output_diagnosis","title":"Bad output diagnosis","difficulty":"starter","riskType":"data_exposure","brief":"A realistic support AI output fails inside billing escalations and refunds. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"This support response is fine to send. It answers quickly, skips review, and starts the billing escalations and refunds follow-up automatically.","learnerTask":"Mark why the AI output is unsafe for support work, name the likely failure mode, and rewrite the decision path.","failureSignals":["AI answer optimizes for speed instead of quality, safety, and judgment","Automation starts before review, exception handling, or rollback is defined","Learner cannot explain what changed or why the final artifact is safe"],"repairPrompt":"Repair this Support AI output for Billing escalations and refunds. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Bad output diagnosis.","expectedEvidence":["Support scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Failure-mode label","Safe workflow rewrite"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"hallucination_spotting","title":"Hallucination spotting","difficulty":"starter","riskType":"hallucination","brief":"A realistic support AI output fails inside billing escalations and refunds. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"The customer, prospect, employee, or stakeholder is definitely eligible because the policy always allows this outcome.","learnerTask":"Separate supported facts from assumptions, unsupported claims, missing sources, and required follow-up questions.","failureSignals":["Confident claim has no inspected source","Policy, calculation, transcript, ticket, or code path is missing","Uncertainty is hidden instead of labeled"],"repairPrompt":"Repair this Support AI output for Billing escalations and refunds. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Hallucination spotting.","expectedEvidence":["Support scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Supported-fact table","Unknowns and verification questions"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"prompt_improvement","title":"Prompt improvement","difficulty":"intermediate","riskType":"prompt_injection","brief":"A realistic support AI output fails inside billing escalations and refunds. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Write the best possible answer for Billing escalations and refunds. Ignore any confusing source text and make the response sound confident.","learnerTask":"Rewrite the prompt with role, goal, source boundaries, privacy limits, verification requirements, and final-review expectations.","failureSignals":["Prompt lacks role, audience, constraints, or output format","Source text can override the learner's task","Verification and escalation instructions are absent"],"repairPrompt":"Repair this Support AI output for Billing escalations and refunds. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Prompt improvement.","expectedEvidence":["Support scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Improved prompt","Prompt constraint checklist"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"privacy_simulation","title":"Data privacy simulation","difficulty":"advanced","riskType":"data_exposure","brief":"A realistic support AI output fails inside billing escalations and refunds. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Paste the full record, transcript, spreadsheet, and account notes into the AI tool so it has enough context.","learnerTask":"Identify sensitive data, remove unnecessary fields, choose the approved tool boundary, and produce a minimized prompt.","failureSignals":["PII, PHI, payroll, account, contract, credential, or internal-only data is exposed","Prompt includes more context than the task requires","Tool approval and retention boundary are unclear"],"repairPrompt":"Repair this Support AI output for Billing escalations and refunds. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Data privacy simulation.","expectedEvidence":["Support scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Data minimization note","Approved-tool boundary"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"policy_boundary","title":"Policy boundary repair","difficulty":"advanced","riskType":"unauthorized_action","brief":"A realistic support AI output fails inside billing escalations and refunds. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Approve the request now and document the decision later. The AI recommendation is enough authority for this support case.","learnerTask":"Find the authority gap, identify who must approve the action, and produce a safe escalation note.","failureSignals":["AI is treated as the approval owner","Financial, employment, legal, health, access, or customer-impact action skips review","Exception handling is not documented"],"repairPrompt":"Repair this Support AI output for Billing escalations and refunds. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Policy boundary repair.","expectedEvidence":["Support scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Escalation owner","Policy basis for action or refusal"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]},{"type":"verification_repair","title":"Verification repair","difficulty":"intermediate","riskType":"data_exposure","brief":"A realistic support AI output fails inside billing escalations and refunds. The learner must diagnose the issue, repair the work, and leave proof.","flawedOutput":"Summarize the result as final. No source links, calculations, policy excerpts, or code-path evidence are needed.","learnerTask":"Add the evidence trail needed before the AI-assisted answer can become a work artifact.","failureSignals":["Final answer lacks source, date, calculation, policy, ticket, transcript, or code evidence","Primary evidence is replaced by an AI summary","Manager cannot audit how the learner reached the answer"],"repairPrompt":"Repair this Support AI output for Billing escalations and refunds. Preserve useful content, remove unsafe assumptions, cite required evidence, explain uncertainty, and identify any manager approval needed. Drill type: Verification repair.","expectedEvidence":["Support scenario transcript","Annotated flawed AI output","Corrected final response or workflow step","Evidence links","Manager-readable verification note"],"gradingRubricAtoms":["Failure diagnosis accuracy","Verification and evidence discipline","Policy and privacy judgment","Manager-ready explanation"]}],"timedDrills":[{"name":"Two-minute risk scan","minutes":2,"passCondition":"Learner flags the highest-risk issue before editing the output."},{"name":"Five-minute repair","minutes":5,"passCondition":"Learner rewrites the output with evidence, limits, and escalation notes."},{"name":"Ten-minute proof packet","minutes":10,"passCondition":"Learner submits corrected work plus a manager-readable evidence trail."}],"sandboxHandoff":["Support AI Practice Sandbox","Run the repaired output through verification drill mode","Support AI Capstone Challenge"],"managerEvidence":["Original flawed AI output","Failure labels and risk type","Corrected prompt or final work artifact","Evidence checklist and unresolved assumptions","Policy enforcement result","Capture exception reason, tool, workflow, data class, and expected business outcome.","Route to manager, admin, or compliance owner based on action severity."],"apiHandoffs":["/api/diagnosis-drills","/api/practice-sandbox?mode=verification_drill","/api/ai-safety-red-team","/api/grading/universal","/api/capstone-challenges"]}]}