# IAIFOUNDATION DATA INTELLIGENCE LAYER

## PURPOSE

Define how AI understands, indexes, and reasons over repository and runtime data.

Governance index: `docs/AI_GOVERNANCE_INDEX.md`

Goal:
- accurate context retrieval
- consistent decisions
- low-cost reasoning

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# 1. DATA LAYERS

Layer A - static docs:
- architecture
- specs
- rules

Layer B - code graph:
- modules
- dependencies
- call surfaces

Layer C - runtime telemetry:
- logs
- errors
- performance signals

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# 2. INTELLIGENCE PIPELINE

1. ingest
2. normalize
3. index
4. retrieve
5. reason
6. validate

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# 3. INDEX STRATEGY

Maintain indexes for:
- docs topics
- file ownership by module
- API and schema mapping
- error signatures

Refresh on:
- file changes
- schema changes
- release events

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# 4. RETRIEVAL RULES

- retrieve smallest relevant set
- prefer high-confidence sources
- avoid broad scans for narrow tasks

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# 5. DECISION QUALITY

Every AI decision should include:
- source basis
- confidence level
- risk note

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# 6. DATA GUARDRAILS

- no stale index usage after major changes
- no unverified inference for critical paths
- no leaking sensitive data into summaries

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# 7. RESULT

- better task accuracy
- lower hallucination rate
- efficient token usage at scale