AI Fluency Non-Tool Coverage Handoff
Existing evaluator and policy assets now make the top-band capability map more real, without pretending learner proof exists.
The coverage receipt now attaches local judgment-rubric proxies and data-boundary policy proxies from existing source-backed artifacts. This narrows the hardening work while keeping learner judgment, data discipline, tool proficiency, and outcome evidence unclaimed until simulator/evaluator/proof events exist.
Use Existing Sources First
The top-band AI Fluency coverage receipt now joins two non-tool source families before any new generation: evaluator assertions from runtime_evaluator_fixtures_v1.jsonl, and normalized risk-tag policy boundaries for restricted-data and accountability context.
| Join | Source | Boundary |
|---|---|---|
| Local judgment-rubric proxy | Runtime evaluator fixtures and payload refs | Rubric context only, not observed learner judgment. |
| Data-boundary policy proxy | Risk tags mapped to policy boundaries | Policy context only, not observed learner data discipline. |
The Shape Is Better And Still Honest
| Metric | Value |
|---|---|
| Top-band rows | 1,000 |
| Top-500 hardening rows | 500 |
| Top-500 local judgment-rubric proxies | 485 |
| Top-500 data-boundary policy proxies | 499 |
| Tool-context hardening queue rows | 0 |
| Production unlocks | 0 |
The key receipt is artifacts/validation/ai_fluency_top_band_capability_coverage_v1.json.
No Proof Theater
The new joins are deliberately proxy context. They improve the map, but they do not certify a learner, unlock production, or authorize embeddings.
| Check | Result |
|---|---|
local_evaluator_rubric_does_not_claim_learner_judgment | PASS |
data_boundary_policy_does_not_claim_learner_discipline | PASS |
synthetic_proof_does_not_claim_measured_outcome | PASS |
tool_context_does_not_claim_tool_proficiency | PASS |
no_production_unlocks | PASS |
Commands Passed
uv run pytest tests/test_ai_fluency_capability_coverage.py tests/test_ai_fluency_tool_context_hardening.py -q uv run ruff check src/aina_data_engine/ai_fluency_capability_coverage.py tests/test_ai_fluency_capability_coverage.py uv run aina-data-engine --root /srv/aina/aina-data-engine-room ai-fluency-capability-coverage uv run aina-data-engine --root /srv/aina/aina-data-engine-room ai-fluency-tool-context-hardening uv run aina-data-engine --root /srv/aina/aina-data-engine-room ain-506-p0-gate uv run aina-data-engine --root /srv/aina/aina-data-engine-room ain-510-retrieval-promotion-gate uv run aina-data-engine --root /srv/aina/aina-data-engine-room production-runtime-readiness uv run aina-data-engine --root /srv/aina/aina-data-engine-room validate
full_validation.json is pass, AIN-506 is pass, AIN-510 is promotion_ready, and production runtime readiness is ready_to_harden_headless_production_runtime.
| Linear issue | Proof comment |
|---|---|
| AIN-520 | a66c8d23-5d0b-4510-9782-f7d62dbbc99a |
| AIN-527 | 3751223c-f7a2-41d1-a5c4-229e5babb704 |
| AIN-510 | e592a3c7-d733-4c62-a1b0-3c9920ab728a |
Close The Explicit Tail
The next slice should generate or join the missing 51 local evaluator/proof fixtures, map the remaining 4 data-boundary tails, and attach curriculum/evaluator source refs for rows that still need concrete practice and scoring assets. Embedding remains blocked until source receipts and semantic QA pass.
Exact Resume Commands
cd /srv/aina/aina-data-engine-room
git status --short --branch
git log -5 --oneline
uv run aina-data-engine --root /srv/aina/aina-data-engine-room ai-fluency-capability-coverage
uv run aina-data-engine --root /srv/aina/aina-data-engine-room ai-fluency-tool-context-hardening
uv run aina-data-engine --root /srv/aina/aina-data-engine-room validate
jq '{status, valid, metrics: {rubrics: .metrics.top_1000_judgment_rubric_proxy_count, data_boundaries: .metrics.top_1000_data_boundary_policy_count, remaining_proof_gaps: .metrics.top_1000_gap_reason_counts.learner_or_synthetic_proof_artifact_not_observed_for_title_cohort, remaining_data_gaps: .metrics.top_1000_gap_reason_counts.data_privacy_boundary_not_specific_yet}, checks, quality_gates}' artifacts/validation/ai_fluency_top_band_capability_coverage_v1.json
Start with the 51 missing local evaluator/proof fixtures and the 4 data-boundary tail rows; those are the cleanest next source-backed closures.