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
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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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