{"success":true,"filters":{"role":"engineering","firstWedge":null,"status":null,"type":null,"search":null},"summary":{"challenges":1,"firstWedgeRole":null,"estimatedMinutes":60,"deliverables":5,"evidenceItems":7,"rubricDimensions":4,"statusCounts":{"ready":0,"pilot":1,"needs_review":0}},"challenges":[{"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"]}]}