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spec(learned-decision-engine): design and tasks revised for the AI classifier
In-house DSPy-style program (retrieve -> classify(k)) on the metered client; example store with signal-profile Gower neighbours re-ranked by code embeddings; balanced Brier metric, bootstrap few-shot and instruction search on a compile split; Platt calibration on other folds; cached replay; tasks 6.1-6.7 with paid steps flagged for go-ahead. Co-Authored-By: Claude Opus 5.5 <[email protected]> Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
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Claude Opus 5.5
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{
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"feature_name": "learned-decision-engine",
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"created_at": "2026-09-30T14:00:00Z",
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"updated_at": "2026-10-01T09:00:00Z",
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"updated_at": "2026-10-01T10:00:00Z",
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"language": "en",
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"phase": "requirements-amended",
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"phase": "design-generated",
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"approvals": {
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"requirements": {
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"generated": true,
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