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cdeea793bd8f3d1dacac0ad7b9e3e454aa02e50d
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3 Commits

Author SHA1 Message Date
colinislit
cdeea793bd feat(cortex): update chat/nudge flow, deepgram streaming and agenda form 
Refines chat panel, nudge messages and artifact rendering, reworks
deepgram token/streaming handling, and adds test tooling deps
(playwright, cypress) to package.json.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
 2026-07-09 22:37:46 +02:00
colinislit
b095b1e492 feat(cortex): add Intake Blocks MVP for voice/text commands 
Adds 4 new intents for intake workflow:
- intake_status: shows completion percentage and section checklist
- intake_navigeer: navigation to specific intake tabs
- risico_query: displays risk assessments with severity indicators
- diagnose_query: shows primary/secondary diagnoses

New components:
- IntakeStatusBlock, RisicoBlock, DiagnoseBlock
- Shared block components (BlockLoading, BlockError, BlockEmpty, BlockSection, BlockItem, BlockFooter)
- useBlockData and useIntakeContext hooks

New API routes:
- GET /api/cortex/intake/status
- GET /api/cortex/intake/risico
- GET /api/cortex/intake/diagnose

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2026-02-03 23:21:18 +01:00
colinislit
c1dc92035b feat(cortex): Epic 1 - Reflex Arc (Layer 1) classifier 
Implement fast local intent classification with escalation-aware logic.
Target: <20ms processing time for simple commands.

E1.S1 - Pattern Matching
- New reflex-classifier.ts with 7 intent types
- Top-2 match tracking for ambiguity detection
- Confidence thresholds (0.7) and ambiguity threshold (0.1)

E1.S2 - Escalation Triggers
- Multi-intent detection: "en", "daarna", "eerst", "vervolgens"
- Context-dependent pronouns: "hij", "zij", "hem", "haar", "zijn"
- Relative time expressions: "morgen", "overmorgen", "volgende week"

E1.S3 - Ambiguity Detection
- Top-2 score comparison (delta < 0.1 → escalate)
- secondBestIntent and secondBestConfidence tracking
- Low confidence escalation (< 0.7)

E1.S4 - Unit Tests
- 25 tests covering all scenarios
- Performance test: 100 classifications in <1ms
- Test runner: pnpm tsx (no Jest/Vitest setup required)

New files:
- lib/cortex/reflex-classifier.ts
- lib/cortex/__tests__/reflex-classifier.test.ts

Run tests: pnpm tsx lib/cortex/__tests__/reflex-classifier.test.ts

Progress: 14 SP / 48 SP (29%) - E0 + E1 complete

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
 2025-12-31 16:24:33 +01:00