AINA data engine room · handoff · 2026-06-13

AI Fluency Tail Closure Handoff

The top-band capability map now reuses repaired titles and conservative policy boundaries instead of inventing new proof.

Ali Mehdi Mukadam - co-authored with Codex - branch ali/ain-506-p0-gate-2026-06-12

The Single Idea

This checkpoint closes the safe tail of AI Fluency coverage: repaired chunk titles now join local evaluator fixtures and named-tool authority, while caveated runtime actions receive conservative data-boundary policy context. Learner proof remains unclaimed.

01 - What Changed

Reuse Clean Context Before Generating

The generator now uses repaired chunk metadata when joining proof fixtures and named-tool authority. It also adds a conservative runtime_caveat_boundary policy proxy for rows that have caveat/review runtime actions but no explicit risk tag.

FixWhy It MattersBoundary
Repaired title matchingai content writer can join source-backed content writer fixtures.No new title truth is invented.
Runtime-caveat boundaryCaveated rows no longer lack data-boundary context.Policy proxy only, not learner data-discipline proof.
02 - Current Proof

The Tail Is Smaller

953top-1,000 judgment-rubric proxies
1,000top-1,000 data-boundary policies
47remaining proof/rubric gaps
0remaining data-boundary gaps
MetricBeforeAfter
Top-500 local judgment-rubric proxies485486
Top-500 data-boundary policy proxies499500
Tool-context hardening queue rows00
Production unlocks00

Key receipts: ai_fluency_top_band_capability_coverage_v1.json, ai_fluency_tool_context_hardening_v1.json, and full_validation.json.

03 - Safety Boundary

No New Runtime Authority

No live Gemini API call was made in this slice. No embedding manifest or batch manifest was created. Runtime embedding authority, public runtime, real-user data, external writes, and production telemetry remain off.

CheckResult
local_evaluator_rubric_does_not_claim_learner_judgmentPASS
data_boundary_policy_does_not_claim_learner_disciplinePASS
synthetic_proof_does_not_claim_measured_outcomePASS
tool_context_does_not_claim_tool_proficiencyPASS
no_production_unlocksPASS

Older unrelated validation summaries still contain legacy "human review/decision" vocabulary from previous beta/GDPval lanes. This checkpoint did not add new legacy review-gate fields.

04 - Verification

Commands Passed

Codex/VDS · Verify checkpoint · local only
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 tests/test_ai_fluency_tool_context_hardening.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
Watch-out: do not convert policy proxies into learner proof or runtime unlocks.

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 issueProof comment
AIN-5202cd283fe-e5b1-4798-a1a8-58cac8e54d6f
AIN-527b55b075d-c17f-49c1-8e5c-f431b4d88402
AIN-51047215f3f-10e4-46a2-97e8-ccdab57a1f52
05 - Next Move

Close The Remaining Proof Tail

The next slice should inspect the 47 rows that still lack local evaluator/proof fixtures, join existing source-backed fixtures where safe, and generate new local fixtures only when source refs and semantic QA support them. Embedding remains blocked for these rows until source receipts and semantic QA pass.

06 - Resume

Exact Resume Commands

Codex/VDS · Resume proof-tail closure · inspect receipts first
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 // 0)}, checks, quality_gates}' artifacts/validation/ai_fluency_top_band_capability_coverage_v1.json
Watch-out: do not make live Gemini or batch calls from rows that still carry explicit proof gaps.
Where To Start

Start with the 47 missing local evaluator/proof fixtures; data-boundary coverage is now complete for the top 1,000.