{"success":true,"filters":{"role":null,"firstWedge":null,"status":null,"type":null,"search":null},"summary":{"challenges":15,"firstWedgeRole":"support","estimatedMinutes":885,"deliverables":75,"evidenceItems":105,"rubricDimensions":60,"statusCounts":{"ready":1,"pilot":9,"needs_review":5}},"challenges":[{"id":"capstone-challenge-support","role":"support","roleLabel":"Support","productLine":"AIducation for Support","firstWedge":true,"academyPath":"/ai-training/support","challengeName":"Support AI Capstone Challenge","status":"ready","type":"portfolio_capstone","estimatedMinutes":45,"scenarioBrief":"Agents can use AI to draft replies, but managers need proof that they verify policy, avoid unsafe refund promises, and escalate when judgment is required.","learnerDeliverables":["Support prompt and source context","Billing escalations and refunds AI-assisted draft or analysis","Verification checklist with evidence notes","Final work artifact ready for manager review","Reflection explaining what AI changed and what the learner verified"],"requiredEvidence":["Support readiness assessment score and skill gap map.","Support baseline readiness score; Support workflow practice evidence; Support exit assessment benchmark; Support certificate evidence trail","Support bad-output diagnosis, hallucination spotting, prompt repair, privacy minimization, policy escalation, and verification repair evidence.","Support prompt, iteration, verification checklist, and final workflow output.","ChatGPT, Claude, Copilot mission completions with risk checks.","Manager-readable artifact, rubric result, and next coaching action.","Support AI Workflow Portfolio"],"rubricDimensions":[{"name":"Work outcome quality","weight":30,"passSignal":"Support artifact is useful, specific, and appropriate for the role workflow."},{"name":"Verification and evidence","weight":25,"passSignal":"Claims, calculations, sources, policy, and assumptions are checked before use."},{"name":"AI safety and policy","weight":25,"passSignal":"Sensitive data, tool approval, authority, escalation, and misuse risks are handled."},{"name":"Manager-ready explanation","weight":20,"passSignal":"Learner can explain what AI did, what changed, and why the final decision is safe."}],"sandboxModes":["AI coworker mode","Scenario simulation","Prompt-writing lab","Workflow-building lab"],"portfolioArtifacts":["Support baseline readiness score","Support workflow practice evidence","Support exit assessment benchmark","Support certificate evidence trail","Set the work context","Add verification guardrails"],"credentialPath":"/learn/portfolio","managerReviewQuestions":["Can the learner complete Billing escalations and refunds with AI and explain what they verified?","Does the final artifact avoid unsupported claims, sensitive data leaks, and skipped approvals?","Which support skill atom should the learner practice next?"],"exportTargets":["Workflow portfolio","Manager coaching report","Credential evidence packet","LMS completion record","Audit evidence export"]},{"id":"capstone-challenge-sales","role":"sales","roleLabel":"Sales","productLine":"AIducation for Sales","firstWedge":false,"academyPath":"/ai-training/sales","challengeName":"Sales AI Capstone Challenge","status":"pilot","type":"team_challenge","estimatedMinutes":60,"scenarioBrief":"Sales teams can generate outreach quickly, but leaders need evidence that reps ground personalization in real research and avoid unsupported claims.","learnerDeliverables":["Sales prompt and source context","Prospect research and account briefs AI-assisted draft or analysis","Verification checklist with evidence notes","Final work artifact ready for manager review","Reflection explaining what AI changed and what the learner verified"],"requiredEvidence":["Sales readiness assessment score and skill gap map.","Sales baseline readiness score; Sales workflow practice evidence; Sales exit assessment benchmark; Sales certificate evidence trail","Sales bad-output diagnosis, hallucination spotting, prompt repair, privacy minimization, policy escalation, and verification repair evidence.","Sales prompt, iteration, verification checklist, and final workflow output.","ChatGPT, Claude, Perplexity mission completions with risk checks.","Manager-readable artifact, rubric result, and next coaching action.","Sales AI Workflow Portfolio"],"rubricDimensions":[{"name":"Work outcome quality","weight":30,"passSignal":"Sales artifact is useful, specific, and appropriate for the role workflow."},{"name":"Verification and evidence","weight":25,"passSignal":"Claims, calculations, sources, policy, and assumptions are checked before use."},{"name":"AI safety and policy","weight":25,"passSignal":"Sensitive data, tool approval, authority, escalation, and misuse risks are handled."},{"name":"Manager-ready explanation","weight":20,"passSignal":"Learner can explain what AI did, what changed, and why the final decision is safe."}],"sandboxModes":["AI coworker mode","Scenario simulation","Prompt-writing lab","Workflow-building lab"],"portfolioArtifacts":["Sales baseline readiness score","Sales workflow practice evidence","Sales exit assessment benchmark","Sales certificate evidence trail","Set the work context","Add verification guardrails"],"credentialPath":"/learn/portfolio","managerReviewQuestions":["Can the learner complete Prospect research and account briefs with AI and explain what they verified?","Does the final artifact avoid unsupported claims, sensitive data leaks, and skipped approvals?","Which sales skill atom should the learner practice next?"],"exportTargets":["Workflow portfolio","Manager coaching report","Credential evidence packet","LMS completion record","Audit evidence export"]},{"id":"capstone-challenge-marketing","role":"marketing","roleLabel":"Marketing","productLine":"AIducation for Marketing","firstWedge":false,"academyPath":"/ai-training/marketing","challengeName":"Marketing AI Capstone Challenge","status":"pilot","type":"team_challenge","estimatedMinutes":60,"scenarioBrief":"Marketing teams can use AI across product launch copy and campaign brief generation, but leaders need proof that people can apply the tools with judgment, verification, and role-specific quality standards.","learnerDeliverables":["Marketing prompt and source context","Product launch copy AI-assisted draft or analysis","Verification checklist with evidence notes","Final work artifact ready for manager review","Reflection explaining what AI changed and what the learner verified"],"requiredEvidence":["Marketing readiness assessment score and skill gap map.","Marketing baseline readiness score; Marketing workflow practice evidence; Marketing exit assessment benchmark; Marketing certificate evidence trail","Marketing bad-output diagnosis, hallucination spotting, prompt repair, privacy minimization, policy escalation, and verification repair evidence.","Marketing prompt, iteration, verification checklist, and final workflow output.","ChatGPT, Claude, Gemini mission completions with risk checks.","Manager-readable artifact, rubric result, and next coaching action.","Marketing AI Workflow Portfolio"],"rubricDimensions":[{"name":"Work outcome quality","weight":30,"passSignal":"Marketing artifact is useful, specific, and appropriate for the role workflow."},{"name":"Verification and evidence","weight":25,"passSignal":"Claims, calculations, sources, policy, and assumptions are checked before use."},{"name":"AI safety and policy","weight":25,"passSignal":"Sensitive data, tool approval, authority, escalation, and misuse risks are handled."},{"name":"Manager-ready explanation","weight":20,"passSignal":"Learner can explain what AI did, what changed, and why the final decision is safe."}],"sandboxModes":["AI coworker mode","Scenario simulation","Prompt-writing lab","Workflow-building lab"],"portfolioArtifacts":["Marketing baseline readiness score","Marketing workflow practice evidence","Marketing exit assessment benchmark","Marketing certificate evidence trail","Set the work context","Add verification guardrails"],"credentialPath":"/learn/portfolio","managerReviewQuestions":["Can the learner complete Product launch copy with AI and explain what they verified?","Does the final artifact avoid unsupported claims, sensitive data leaks, and skipped approvals?","Which marketing skill atom should the learner practice next?"],"exportTargets":["Workflow portfolio","Manager coaching report","Credential evidence packet","LMS completion record","Audit evidence export"]},{"id":"capstone-challenge-hr","role":"hr","roleLabel":"HR","productLine":"AIducation for HR","firstWedge":false,"academyPath":"/ai-training/hr","challengeName":"HR AI Capstone Challenge","status":"needs_review","type":"manager_review","estimatedMinutes":60,"scenarioBrief":"HR teams can use AI across policy drafting and explanation and recruiting and candidate screening support, but leaders need proof that people can apply the tools with judgment, verification, and role-specific quality standards.","learnerDeliverables":["HR prompt and source context","Policy drafting and explanation AI-assisted draft or analysis","Verification checklist with evidence notes","Final work artifact ready for manager review","Reflection explaining what AI changed and what the learner verified"],"requiredEvidence":["HR readiness assessment score and skill gap map.","HR baseline readiness score; HR workflow practice evidence; HR exit assessment benchmark; HR certificate evidence trail","HR bad-output diagnosis, hallucination spotting, prompt repair, privacy minimization, policy escalation, and verification repair evidence.","HR prompt, iteration, verification checklist, and final workflow output.","ChatGPT, Claude, Gemini mission completions with risk checks.","Manager-readable artifact, rubric result, and next coaching action.","HR AI Workflow Portfolio"],"rubricDimensions":[{"name":"Work outcome quality","weight":30,"passSignal":"HR artifact is useful, specific, and appropriate for the role workflow."},{"name":"Verification and evidence","weight":25,"passSignal":"Claims, calculations, sources, policy, and assumptions are checked before use."},{"name":"AI safety and policy","weight":25,"passSignal":"Sensitive data, tool approval, authority, escalation, and misuse risks are handled."},{"name":"Manager-ready explanation","weight":20,"passSignal":"Learner can explain what AI did, what changed, and why the final decision is safe."}],"sandboxModes":["AI coworker mode","Scenario simulation","Prompt-writing lab","Workflow-building lab"],"portfolioArtifacts":["HR baseline readiness score","HR workflow practice evidence","HR exit assessment benchmark","HR certificate evidence trail","Set the work context","Add verification guardrails"],"credentialPath":"/learn/portfolio","managerReviewQuestions":["Can the learner complete Policy drafting and explanation with AI and explain what they verified?","Does the final artifact avoid unsupported claims, sensitive data leaks, and skipped approvals?","Which hr skill atom should the learner practice next?"],"exportTargets":["Workflow portfolio","Manager coaching report","Credential evidence packet","LMS completion record","Audit evidence export"]},{"id":"capstone-challenge-finance","role":"finance","roleLabel":"Finance","productLine":"AIducation for Finance","firstWedge":false,"academyPath":"/ai-training/finance","challengeName":"Finance AI Capstone Challenge","status":"needs_review","type":"manager_review","estimatedMinutes":60,"scenarioBrief":"Finance teams can use AI across expense review and policy checks and variance analysis commentary, but leaders need proof that people can apply the tools with judgment, verification, and role-specific quality standards.","learnerDeliverables":["Finance prompt and source context","Expense review and policy checks AI-assisted draft or analysis","Verification checklist with evidence notes","Final work artifact ready for manager review","Reflection explaining what AI changed and what the learner verified"],"requiredEvidence":["Finance readiness assessment score and skill gap map.","Finance baseline readiness score; Finance workflow practice evidence; Finance exit assessment benchmark; Finance certificate evidence trail","Finance bad-output diagnosis, hallucination spotting, prompt repair, privacy minimization, policy escalation, and verification repair evidence.","Finance prompt, iteration, verification checklist, and final workflow output.","Excel AI, Copilot, ChatGPT mission completions with risk checks.","Manager-readable artifact, rubric result, and next coaching action.","Finance AI Workflow Portfolio"],"rubricDimensions":[{"name":"Work outcome quality","weight":30,"passSignal":"Finance artifact is useful, specific, and appropriate for the role workflow."},{"name":"Verification and evidence","weight":25,"passSignal":"Claims, calculations, sources, policy, and assumptions are checked before use."},{"name":"AI safety and policy","weight":25,"passSignal":"Sensitive data, tool approval, authority, escalation, and misuse risks are handled."},{"name":"Manager-ready explanation","weight":20,"passSignal":"Learner can explain what AI did, what changed, and why the final decision is safe."}],"sandboxModes":["AI coworker mode","Scenario simulation","Prompt-writing lab","Workflow-building lab"],"portfolioArtifacts":["Finance baseline readiness score","Finance workflow practice evidence","Finance exit assessment benchmark","Finance certificate evidence trail","Set the work context","Add verification guardrails"],"credentialPath":"/learn/portfolio","managerReviewQuestions":["Can the learner complete Expense review and policy checks with AI and explain what they verified?","Does the final artifact avoid unsupported claims, sensitive data leaks, and skipped approvals?","Which finance skill atom should the learner practice next?"],"exportTargets":["Workflow portfolio","Manager coaching report","Credential evidence packet","LMS completion record","Audit evidence export"]},{"id":"capstone-challenge-engineering","role":"engineering","roleLabel":"Engineering","productLine":"AIducation for Engineering","firstWedge":false,"academyPath":"/ai-training/engineering","challengeName":"Engineering AI Capstone Challenge","status":"pilot","type":"real_world_case","estimatedMinutes":60,"scenarioBrief":"Engineering teams are adopting coding agents, but leaders need proof that developers can verify AI output, catch security issues, and keep reviews focused.","learnerDeliverables":["Engineering prompt and source context","AI-assisted code review AI-assisted draft or analysis","Verification checklist with evidence notes","Final work artifact ready for manager review","Reflection explaining what AI changed and what the learner verified"],"requiredEvidence":["Engineering readiness assessment score and skill gap map.","Engineering baseline readiness score; Engineering workflow practice evidence; Engineering exit assessment benchmark; Engineering certificate evidence trail","Engineering bad-output diagnosis, hallucination spotting, prompt repair, privacy minimization, policy escalation, and verification repair evidence.","Engineering prompt, iteration, verification checklist, and final workflow output.","Cursor, Copilot, ChatGPT mission completions with risk checks.","Manager-readable artifact, rubric result, and next coaching action.","Engineering AI Workflow Portfolio"],"rubricDimensions":[{"name":"Work outcome quality","weight":30,"passSignal":"Engineering artifact is useful, specific, and appropriate for the role workflow."},{"name":"Verification and evidence","weight":25,"passSignal":"Claims, calculations, sources, policy, and assumptions are checked before use."},{"name":"AI safety and policy","weight":25,"passSignal":"Sensitive data, tool approval, authority, escalation, and misuse risks are handled."},{"name":"Manager-ready explanation","weight":20,"passSignal":"Learner can explain what AI did, what changed, and why the final decision is safe."}],"sandboxModes":["AI coworker mode","Scenario simulation","Prompt-writing lab","Workflow-building lab"],"portfolioArtifacts":["Engineering baseline readiness score","Engineering workflow practice evidence","Engineering exit assessment benchmark","Engineering certificate evidence trail","Set the work context","Add verification guardrails"],"credentialPath":"/learn/portfolio","managerReviewQuestions":["Can the learner complete AI-assisted code review with AI and explain what they verified?","Does the final artifact avoid unsupported claims, sensitive data leaks, and skipped approvals?","Which engineering skill atom should the learner practice next?"],"exportTargets":["Workflow portfolio","Manager coaching report","Credential evidence packet","LMS completion record","Audit evidence export"]},{"id":"capstone-challenge-product","role":"product","roleLabel":"Product","productLine":"AIducation for Product Managers","firstWedge":false,"academyPath":"/ai-training/product","challengeName":"Product AI Capstone Challenge","status":"pilot","type":"real_world_case","estimatedMinutes":60,"scenarioBrief":"Product teams can use AI across prd review and requirement tightening and research synthesis, but leaders need proof that people can apply the tools with judgment, verification, and role-specific quality standards.","learnerDeliverables":["Product prompt and source context","PRD review and requirement tightening AI-assisted draft or analysis","Verification checklist with evidence notes","Final work artifact ready for manager review","Reflection explaining what AI changed and what the learner verified"],"requiredEvidence":["Product readiness assessment score and skill gap map.","Product baseline readiness score; Product workflow practice evidence; Product exit assessment benchmark; Product certificate evidence trail","Product bad-output diagnosis, hallucination spotting, prompt repair, privacy minimization, policy escalation, and verification repair evidence.","Product prompt, iteration, verification checklist, and final workflow output.","ChatGPT, Claude, Perplexity mission completions with risk checks.","Manager-readable artifact, rubric result, and next coaching action.","Product AI Workflow Portfolio"],"rubricDimensions":[{"name":"Work outcome quality","weight":30,"passSignal":"Product artifact is useful, specific, and appropriate for the role workflow."},{"name":"Verification and evidence","weight":25,"passSignal":"Claims, calculations, sources, policy, and assumptions are checked before use."},{"name":"AI safety and policy","weight":25,"passSignal":"Sensitive data, tool approval, authority, escalation, and misuse risks are handled."},{"name":"Manager-ready explanation","weight":20,"passSignal":"Learner can explain what AI did, what changed, and why the final decision is safe."}],"sandboxModes":["AI coworker mode","Scenario simulation","Prompt-writing lab","Workflow-building lab"],"portfolioArtifacts":["Product baseline readiness score","Product workflow practice evidence","Product exit assessment benchmark","Product certificate evidence trail","Set the work context","Add verification guardrails"],"credentialPath":"/learn/portfolio","managerReviewQuestions":["Can the learner complete PRD review and requirement tightening with AI and explain what they verified?","Does the final artifact avoid unsupported claims, sensitive data leaks, and skipped approvals?","Which product skill atom should the learner practice next?"],"exportTargets":["Workflow portfolio","Manager coaching report","Credential evidence packet","LMS completion record","Audit evidence export"]},{"id":"capstone-challenge-executives","role":"executives","roleLabel":"Executives","productLine":"AIducation for Executives","firstWedge":false,"academyPath":"/ai-training/executives","challengeName":"Executives AI Capstone Challenge","status":"pilot","type":"real_world_case","estimatedMinutes":60,"scenarioBrief":"Executives teams can use AI across ai strategy and governance and department rollout planning, but leaders need proof that people can apply the tools with judgment, verification, and role-specific quality standards.","learnerDeliverables":["Executives prompt and source context","AI strategy and governance AI-assisted draft or analysis","Verification checklist with evidence notes","Final work artifact ready for manager review","Reflection explaining what AI changed and what the learner verified"],"requiredEvidence":["Executives readiness assessment score and skill gap map.","Executives baseline readiness score; Executives workflow practice evidence; Executives exit assessment benchmark; Executives certificate evidence trail","Executives bad-output diagnosis, hallucination spotting, prompt repair, privacy minimization, policy escalation, and verification repair evidence.","Executives prompt, iteration, verification checklist, and final workflow output.","ChatGPT, Claude, Gemini mission completions with risk checks.","Manager-readable artifact, rubric result, and next coaching action.","Executives AI Workflow Portfolio"],"rubricDimensions":[{"name":"Work outcome quality","weight":30,"passSignal":"Executives artifact is useful, specific, and appropriate for the role workflow."},{"name":"Verification and evidence","weight":25,"passSignal":"Claims, calculations, sources, policy, and assumptions are checked before use."},{"name":"AI safety and policy","weight":25,"passSignal":"Sensitive data, tool approval, authority, escalation, and misuse risks are handled."},{"name":"Manager-ready explanation","weight":20,"passSignal":"Learner can explain what AI did, what changed, and why the final decision is safe."}],"sandboxModes":["AI coworker mode","Scenario simulation","Prompt-writing lab","Workflow-building lab"],"portfolioArtifacts":["Executives baseline readiness score","Executives workflow practice evidence","Executives exit assessment benchmark","Executives certificate evidence trail","Set the work context","Add verification guardrails"],"credentialPath":"/learn/portfolio","managerReviewQuestions":["Can the learner complete AI strategy and governance with AI and explain what they verified?","Does the final artifact avoid unsupported claims, sensitive data leaks, and skipped approvals?","Which executives skill atom should the learner practice next?"],"exportTargets":["Workflow portfolio","Manager coaching report","Credential evidence packet","LMS completion record","Audit evidence export"]},{"id":"capstone-challenge-operations","role":"operations","roleLabel":"Operations","productLine":"AIducation for Operations","firstWedge":false,"academyPath":"/ai-training/operations","challengeName":"Operations AI Capstone Challenge","status":"pilot","type":"team_challenge","estimatedMinutes":60,"scenarioBrief":"Operations teams can use AI across sop generation and review and workflow automation planning, but leaders need proof that people can apply the tools with judgment, verification, and role-specific quality standards.","learnerDeliverables":["Operations prompt and source context","SOP generation and review AI-assisted draft or analysis","Verification checklist with evidence notes","Final work artifact ready for manager review","Reflection explaining what AI changed and what the learner verified"],"requiredEvidence":["Operations readiness assessment score and skill gap map.","Operations baseline readiness score; Operations workflow practice evidence; Operations exit assessment benchmark; Operations certificate evidence trail","Operations bad-output diagnosis, hallucination spotting, prompt repair, privacy minimization, policy escalation, and verification repair evidence.","Operations prompt, iteration, verification checklist, and final workflow output.","ChatGPT, Claude, Zapier mission completions with risk checks.","Manager-readable artifact, rubric result, and next coaching action.","Operations AI Workflow Portfolio"],"rubricDimensions":[{"name":"Work outcome quality","weight":30,"passSignal":"Operations artifact is useful, specific, and appropriate for the role workflow."},{"name":"Verification and evidence","weight":25,"passSignal":"Claims, calculations, sources, policy, and assumptions are checked before use."},{"name":"AI safety and policy","weight":25,"passSignal":"Sensitive data, tool approval, authority, escalation, and misuse risks are handled."},{"name":"Manager-ready explanation","weight":20,"passSignal":"Learner can explain what AI did, what changed, and why the final decision is safe."}],"sandboxModes":["AI coworker mode","Scenario simulation","Prompt-writing lab","Workflow-building lab"],"portfolioArtifacts":["Operations baseline readiness score","Operations workflow practice evidence","Operations exit assessment benchmark","Operations certificate evidence trail","Set the work context","Add verification guardrails"],"credentialPath":"/learn/portfolio","managerReviewQuestions":["Can the learner complete SOP generation and review with AI and explain what they verified?","Does the final artifact avoid unsupported claims, sensitive data leaks, and skipped approvals?","Which operations skill atom should the learner practice next?"],"exportTargets":["Workflow portfolio","Manager coaching report","Credential evidence packet","LMS completion record","Audit evidence export"]},{"id":"capstone-challenge-students","role":"students","roleLabel":"Students","productLine":"AIducation for Students","firstWedge":false,"academyPath":"/ai-training/students","challengeName":"Students AI Capstone Challenge","status":"pilot","type":"real_world_case","estimatedMinutes":60,"scenarioBrief":"Students teams can use AI across research planning and source checking and writing support without plagiarism, but leaders need proof that people can apply the tools with judgment, verification, and role-specific quality standards.","learnerDeliverables":["Students prompt and source context","Research planning and source checking AI-assisted draft or analysis","Verification checklist with evidence notes","Final work artifact ready for manager review","Reflection explaining what AI changed and what the learner verified"],"requiredEvidence":["Students readiness assessment score and skill gap map.","Students baseline readiness score; Students workflow practice evidence; Students exit assessment benchmark; Students certificate evidence trail","Students bad-output diagnosis, hallucination spotting, prompt repair, privacy minimization, policy escalation, and verification repair evidence.","Students prompt, iteration, verification checklist, and final workflow output.","ChatGPT, Claude, Gemini mission completions with risk checks.","Manager-readable artifact, rubric result, and next coaching action.","Students AI Workflow Portfolio"],"rubricDimensions":[{"name":"Work outcome quality","weight":30,"passSignal":"Students artifact is useful, specific, and appropriate for the role workflow."},{"name":"Verification and evidence","weight":25,"passSignal":"Claims, calculations, sources, policy, and assumptions are checked before use."},{"name":"AI safety and policy","weight":25,"passSignal":"Sensitive data, tool approval, authority, escalation, and misuse risks are handled."},{"name":"Manager-ready explanation","weight":20,"passSignal":"Learner can explain what AI did, what changed, and why the final decision is safe."}],"sandboxModes":["AI coworker mode","Scenario simulation","Prompt-writing lab","Workflow-building lab"],"portfolioArtifacts":["Students baseline readiness score","Students workflow practice evidence","Students exit assessment benchmark","Students certificate evidence trail","Set the work context","Add verification guardrails"],"credentialPath":"/learn/portfolio","managerReviewQuestions":["Can the learner complete Research planning and source checking with AI and explain what they verified?","Does the final artifact avoid unsupported claims, sensitive data leaks, and skipped approvals?","Which students skill atom should the learner practice next?"],"exportTargets":["Workflow portfolio","Manager coaching report","Credential evidence packet","LMS completion record","Audit evidence export"]},{"id":"capstone-challenge-teachers","role":"teachers","roleLabel":"Teachers","productLine":"AIducation for Teachers","firstWedge":false,"academyPath":"/ai-training/teachers","challengeName":"Teachers AI Capstone Challenge","status":"pilot","type":"real_world_case","estimatedMinutes":60,"scenarioBrief":"Teachers teams can use AI across lesson planning and rubric and assessment design, but leaders need proof that people can apply the tools with judgment, verification, and role-specific quality standards.","learnerDeliverables":["Teachers prompt and source context","Lesson planning AI-assisted draft or analysis","Verification checklist with evidence notes","Final work artifact ready for manager review","Reflection explaining what AI changed and what the learner verified"],"requiredEvidence":["Teachers readiness assessment score and skill gap map.","Teachers baseline readiness score; Teachers workflow practice evidence; Teachers exit assessment benchmark; Teachers certificate evidence trail","Teachers bad-output diagnosis, hallucination spotting, prompt repair, privacy minimization, policy escalation, and verification repair evidence.","Teachers prompt, iteration, verification checklist, and final workflow output.","ChatGPT, Claude, Gemini mission completions with risk checks.","Manager-readable artifact, rubric result, and next coaching action.","Teachers AI Workflow Portfolio"],"rubricDimensions":[{"name":"Work outcome quality","weight":30,"passSignal":"Teachers artifact is useful, specific, and appropriate for the role workflow."},{"name":"Verification and evidence","weight":25,"passSignal":"Claims, calculations, sources, policy, and assumptions are checked before use."},{"name":"AI safety and policy","weight":25,"passSignal":"Sensitive data, tool approval, authority, escalation, and misuse risks are handled."},{"name":"Manager-ready explanation","weight":20,"passSignal":"Learner can explain what AI did, what changed, and why the final decision is safe."}],"sandboxModes":["AI coworker mode","Scenario simulation","Prompt-writing lab","Workflow-building lab"],"portfolioArtifacts":["Teachers baseline readiness score","Teachers workflow practice evidence","Teachers exit assessment benchmark","Teachers certificate evidence trail","Set the work context","Add verification guardrails"],"credentialPath":"/learn/portfolio","managerReviewQuestions":["Can the learner complete Lesson planning with AI and explain what they verified?","Does the final artifact avoid unsupported claims, sensitive data leaks, and skipped approvals?","Which teachers skill atom should the learner practice next?"],"exportTargets":["Workflow portfolio","Manager coaching report","Credential evidence packet","LMS completion record","Audit evidence export"]},{"id":"capstone-challenge-government","role":"government","roleLabel":"Government","productLine":"AIducation for Government","firstWedge":false,"academyPath":"/ai-training/government","challengeName":"Government AI Capstone Challenge","status":"needs_review","type":"manager_review","estimatedMinutes":60,"scenarioBrief":"Government teams can use AI across citizen service response and document workflow support, but leaders need proof that people can apply the tools with judgment, verification, and role-specific quality standards.","learnerDeliverables":["Government prompt and source context","Citizen service response AI-assisted draft or analysis","Verification checklist with evidence notes","Final work artifact ready for manager review","Reflection explaining what AI changed and what the learner verified"],"requiredEvidence":["Government readiness assessment score and skill gap map.","Government baseline readiness score; Government workflow practice evidence; Government exit assessment benchmark; Government certificate evidence trail","Government bad-output diagnosis, hallucination spotting, prompt repair, privacy minimization, policy escalation, and verification repair evidence.","Government prompt, iteration, verification checklist, and final workflow output.","ChatGPT, Claude, Gemini mission completions with risk checks.","Manager-readable artifact, rubric result, and next coaching action.","Government AI Workflow Portfolio"],"rubricDimensions":[{"name":"Work outcome quality","weight":30,"passSignal":"Government artifact is useful, specific, and appropriate for the role workflow."},{"name":"Verification and evidence","weight":25,"passSignal":"Claims, calculations, sources, policy, and assumptions are checked before use."},{"name":"AI safety and policy","weight":25,"passSignal":"Sensitive data, tool approval, authority, escalation, and misuse risks are handled."},{"name":"Manager-ready explanation","weight":20,"passSignal":"Learner can explain what AI did, what changed, and why the final decision is safe."}],"sandboxModes":["AI coworker mode","Scenario simulation","Prompt-writing lab","Workflow-building lab"],"portfolioArtifacts":["Government baseline readiness score","Government workflow practice evidence","Government exit assessment benchmark","Government certificate evidence trail","Set the work context","Add verification guardrails"],"credentialPath":"/learn/portfolio","managerReviewQuestions":["Can the learner complete Citizen service response with AI and explain what they verified?","Does the final artifact avoid unsupported claims, sensitive data leaks, and skipped approvals?","Which government skill atom should the learner practice next?"],"exportTargets":["Workflow portfolio","Manager coaching report","Credential evidence packet","LMS completion record","Audit evidence export"]},{"id":"capstone-challenge-healthcare-admin","role":"healthcare-admin","roleLabel":"Healthcare Admin","productLine":"AIducation for Healthcare Admin","firstWedge":false,"academyPath":"/ai-training/healthcare-admin","challengeName":"Healthcare Admin AI Capstone Challenge","status":"needs_review","type":"manager_review","estimatedMinutes":60,"scenarioBrief":"Healthcare Admin teams can use AI across patient communication and documentation support, but leaders need proof that people can apply the tools with judgment, verification, and role-specific quality standards.","learnerDeliverables":["Healthcare Admin prompt and source context","Patient communication AI-assisted draft or analysis","Verification checklist with evidence notes","Final work artifact ready for manager review","Reflection explaining what AI changed and what the learner verified"],"requiredEvidence":["Healthcare Admin readiness assessment score and skill gap map.","Healthcare Admin baseline readiness score; Healthcare Admin workflow practice evidence; Healthcare Admin exit assessment benchmark; Healthcare Admin certificate evidence trail","Healthcare Admin bad-output diagnosis, hallucination spotting, prompt repair, privacy minimization, policy escalation, and verification repair evidence.","Healthcare Admin prompt, iteration, verification checklist, and final workflow output.","ChatGPT, Claude, Gemini mission completions with risk checks.","Manager-readable artifact, rubric result, and next coaching action.","Healthcare Admin AI Workflow Portfolio"],"rubricDimensions":[{"name":"Work outcome quality","weight":30,"passSignal":"Healthcare Admin artifact is useful, specific, and appropriate for the role workflow."},{"name":"Verification and evidence","weight":25,"passSignal":"Claims, calculations, sources, policy, and assumptions are checked before use."},{"name":"AI safety and policy","weight":25,"passSignal":"Sensitive data, tool approval, authority, escalation, and misuse risks are handled."},{"name":"Manager-ready explanation","weight":20,"passSignal":"Learner can explain what AI did, what changed, and why the final decision is safe."}],"sandboxModes":["AI coworker mode","Scenario simulation","Prompt-writing lab","Workflow-building lab"],"portfolioArtifacts":["Healthcare Admin baseline readiness score","Healthcare Admin workflow practice evidence","Healthcare Admin exit assessment benchmark","Healthcare Admin certificate evidence trail","Set the work context","Add verification guardrails"],"credentialPath":"/learn/portfolio","managerReviewQuestions":["Can the learner complete Patient communication with AI and explain what they verified?","Does the final artifact avoid unsupported claims, sensitive data leaks, and skipped approvals?","Which healthcare admin skill atom should the learner practice next?"],"exportTargets":["Workflow portfolio","Manager coaching report","Credential evidence packet","LMS completion record","Audit evidence export"]},{"id":"capstone-challenge-legal","role":"legal","roleLabel":"Legal","productLine":"AIducation for Legal Teams","firstWedge":false,"academyPath":"/ai-training/legal","challengeName":"Legal AI Capstone Challenge","status":"needs_review","type":"manager_review","estimatedMinutes":60,"scenarioBrief":"Legal teams can use AI across contract risk review and research synthesis, but leaders need proof that people can apply the tools with judgment, verification, and role-specific quality standards.","learnerDeliverables":["Legal prompt and source context","Contract risk review AI-assisted draft or analysis","Verification checklist with evidence notes","Final work artifact ready for manager review","Reflection explaining what AI changed and what the learner verified"],"requiredEvidence":["Legal readiness assessment score and skill gap map.","Legal baseline readiness score; Legal workflow practice evidence; Legal exit assessment benchmark; Legal certificate evidence trail","Legal bad-output diagnosis, hallucination spotting, prompt repair, privacy minimization, policy escalation, and verification repair evidence.","Legal prompt, iteration, verification checklist, and final workflow output.","ChatGPT, Claude, Perplexity mission completions with risk checks.","Manager-readable artifact, rubric result, and next coaching action.","Legal AI Workflow Portfolio"],"rubricDimensions":[{"name":"Work outcome quality","weight":30,"passSignal":"Legal artifact is useful, specific, and appropriate for the role workflow."},{"name":"Verification and evidence","weight":25,"passSignal":"Claims, calculations, sources, policy, and assumptions are checked before use."},{"name":"AI safety and policy","weight":25,"passSignal":"Sensitive data, tool approval, authority, escalation, and misuse risks are handled."},{"name":"Manager-ready explanation","weight":20,"passSignal":"Learner can explain what AI did, what changed, and why the final decision is safe."}],"sandboxModes":["AI coworker mode","Scenario simulation","Prompt-writing lab","Workflow-building lab"],"portfolioArtifacts":["Legal baseline readiness score","Legal workflow practice evidence","Legal exit assessment benchmark","Legal certificate evidence trail","Set the work context","Add verification guardrails"],"credentialPath":"/learn/portfolio","managerReviewQuestions":["Can the learner complete Contract risk review with AI and explain what they verified?","Does the final artifact avoid unsupported claims, sensitive data leaks, and skipped approvals?","Which legal skill atom should the learner practice next?"],"exportTargets":["Workflow portfolio","Manager coaching report","Credential evidence packet","LMS completion record","Audit evidence export"]},{"id":"capstone-challenge-small-business","role":"small-business","roleLabel":"Small Business","productLine":"AIducation for Small Businesses","firstWedge":false,"academyPath":"/ai-training/small-business","challengeName":"Small Business AI Capstone Challenge","status":"pilot","type":"real_world_case","estimatedMinutes":60,"scenarioBrief":"Small Business teams can use AI across local marketing and content and customer response drafting, but leaders need proof that people can apply the tools with judgment, verification, and role-specific quality standards.","learnerDeliverables":["Small Business prompt and source context","Local marketing and content AI-assisted draft or analysis","Verification checklist with evidence notes","Final work artifact ready for manager review","Reflection explaining what AI changed and what the learner verified"],"requiredEvidence":["Small Business readiness assessment score and skill gap map.","Small Business baseline readiness score; Small Business workflow practice evidence; Small Business exit assessment benchmark; Small Business certificate evidence trail","Small Business bad-output diagnosis, hallucination spotting, prompt repair, privacy minimization, policy escalation, and verification repair evidence.","Small Business prompt, iteration, verification checklist, and final workflow output.","ChatGPT, Claude, Gemini mission completions with risk checks.","Manager-readable artifact, rubric result, and next coaching action.","Small Business AI Workflow Portfolio"],"rubricDimensions":[{"name":"Work outcome quality","weight":30,"passSignal":"Small Business artifact is useful, specific, and appropriate for the role workflow."},{"name":"Verification and evidence","weight":25,"passSignal":"Claims, calculations, sources, policy, and assumptions are checked before use."},{"name":"AI safety and policy","weight":25,"passSignal":"Sensitive data, tool approval, authority, escalation, and misuse risks are handled."},{"name":"Manager-ready explanation","weight":20,"passSignal":"Learner can explain what AI did, what changed, and why the final decision is safe."}],"sandboxModes":["AI coworker mode","Scenario simulation","Prompt-writing lab","Workflow-building lab"],"portfolioArtifacts":["Small Business baseline readiness score","Small Business workflow practice evidence","Small Business exit assessment benchmark","Small Business certificate evidence trail","Set the work context","Add verification guardrails"],"credentialPath":"/learn/portfolio","managerReviewQuestions":["Can the learner complete Local marketing and content with AI and explain what they verified?","Does the final artifact avoid unsupported claims, sensitive data leaks, and skipped approvals?","Which small business skill atom should the learner practice next?"],"exportTargets":["Workflow portfolio","Manager coaching report","Credential evidence packet","LMS completion record","Audit evidence export"]}]}