77 lines
2.5 KiB
Markdown
77 lines
2.5 KiB
Markdown
# Project Brief
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status: draft_runtime_boundary
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date: 2026-06-20
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## One-Sentence Definition
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`Cognitive-OS-Wantsong` is a lightweight cognitive-processing runtime that uses Wantsong's cognitive models to process complex inputs into internal analysis and reader-facing explanations.
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## Restart Basis
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The old project proved useful file-first model-governance mechanisms, but its operating gravity drifted toward review evidence, selector calibration, regression cases, and lifecycle caution.
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This project starts from the opposite order:
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```text
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run real cognitive workflow -> inspect output value -> stabilize useful model pieces
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```
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M0-M1 therefore creates only the boundary and model-management kernel required before any runtime sample.
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## Product Layers
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The project has three layers and one review lane:
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1. Model management layer: register, describe, call, combine, retire, and repair model assets.
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2. Cognitive-processing runtime layer: intake, QPI, lens orchestration, deep processing, synthesis, calibration, and feedback.
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3. Reader translation layer: turn internal model output into understandable reader-facing expression.
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4. Milestone quality lane: Local CCRA reviews milestone outputs, not every small edit.
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## M0 Acceptance
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M0 is acceptable when:
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- the repo has an independent git boundary and remote;
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- the old project is documented only as reference and seed archive;
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- forbidden old process artifacts are not present;
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- v0.1 non-goals are explicit.
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## M1 Acceptance
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M1 is acceptable when:
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- QPI and Intellectual Archaeology have callable model cards;
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- `models/model-registry.json` supports future primary/support selection;
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- model statuses and levels are defined without creating a full lifecycle system;
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- no full selector, full schema validator, sample run, or regression suite exists.
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## Non-Goals For v0.1 Startup
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- full model library;
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- 10-model expansion;
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- complete schema validator;
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- database;
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- backend service;
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- frontend UI;
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- vector database;
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- full RAG;
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- full regression suite;
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- lifecycle promotion;
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- before/after selector diff;
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- Web review bundle by default;
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- old report migration;
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- old review-bundle migration;
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- old Local CCRA history migration;
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- Round Conductor.
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## Failure Signals
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M0-M1 is drifting if:
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- QPI becomes the main governance object again;
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- review artifacts outgrow runtime artifacts before the first sample;
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- Codex creates `round-*`, `ccra_review_bundle/`, or full regression material;
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- model management starts requiring perfect evidence matrices before any runtime use;
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- reader translation is ignored as a product layer.
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