mirror of
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Marius CiepluchandClaude Opus 5.5
b6a49fa4dc
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
24 lines
616 B
JSON
24 lines
616 B
JSON
{
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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": "2026-10-01T10:00:00Z",
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"language": "en",
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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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"approved": true
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},
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"design": {
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"generated": true,
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"approved": false
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},
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"tasks": {
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"generated": true,
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"approved": false
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}
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},
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"ready_for_implementation": true,
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"note": "2026-10-01: Req 3 changed to an AI classifier with local memory (DSPy-style, in-house); design and tasks 6+ to be revised; tasks 1-5 remain valid."
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}
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