AINA Personalization Engine Final Title-Coverage Handoff

Final handoff for agents and humans: mission match, exact repo state, inventory, validation, and next commands.

Ali Mehdi Mukadam · co-authored with Codex · 2026-06-11 · Source: docs/handoff/2026-06-11-final-personalization-engine-title-coverage-handoff.md

Publication line: AINA data engine room - final local handoff - 2026-06-11 Author: Codex execution lane Audience: next agent, technical collaborator, and Ali Repo: /srv/aina/aina-data-engine-room Branch: ali/personalization-engine-mission-2026-06-09 Checkpoint: a65af71 Complete ICP title adjudication backlog

The Single Idea

The mission moved from a planning document into a working VDS-local data engine with source-backed packets, Hugging Face and O*NET provenance, local runtime/evaluator proof, and a completed ICP title adjudication run. The title-review backlog is no longer waiting on unprocessed prompt candidates: the current receipt reports prompt_candidates=0, prompt_rows=0, 50,053 serviceable rows after adjudication, and 491 residual rows that were already reviewed and intentionally kept in adjudication rather than overclaimed.

01. Current Landed State

This work is self-contained on the VDS. It was committed locally and not pushed or merged, per Ali's instruction.

02. Mission Reconciliation

The original mission at docs/planning/aina-personalization-engine-mission-2026-06-09.md said AINA should become a personalized AI capability transformation engine: role, workflow, readiness, goals, capacity, and evidence should produce a learning path, realistic practice, evaluated progression, and a durable record.

That mission broke into M0-M7. Current status:

The important change since the earlier handoff is M7. At the prior pause, thousands of promptable title rows remained. Now the promptable queue is exhausted.

03. Title-Coverage Result

Current receipt: artifacts/validation/icp_title_adjudication_v1.json.

The remaining 491 are not unprocessed backlog. Every one has already been reviewed and carries multi_llm_kept_for_adjudication. They are the intentionally conservative residue: mostly low-signal, ambiguous general_business titles where two-reviewer evidence did not justify either fallback promotion or exclusion.

Residual shape:

Example residuals include front end entry level, service leader, family law attorney, student intern, document reviewer, qa tester, sql dba, and security professional. These should stay out of public claims until a future rule or domain-specific evidence resolves them.

04. What Was Done In This Final Run

The final run repaired the reviewer lane and then processed the title backlog to exhaustion.

Notable throughput evidence:

Batch 072 produced raw outputs but was not merged because one reviewer needed more row repairs than the runner allows. Its artifacts remain under ignored artifacts/review/model_outputs/ as evidence history, not accepted title state.

05. Repo And Data Map

The repo is now an engine room with code, tests, source documents, generated data, validation receipts, and review evidence.

Current inventory appendix:

Inventory snapshot:

Disk shape:

Important Git note: artifacts/ is ignored for new files, but many receipt/report artifacts are already tracked. The raw model outputs and review logs are intentionally ignored, while the accepted adjudication state is tracked through artifacts/review/icp_title_adjudication_input_v1.json, artifacts/review/icp_title_adjudication_merge_v1.json, and validation/report files.

06. Source And Provenance Status

Hugging Face is real engine input now, not a footnote.

The current system still refuses to fake BLS facts. That is correct. O*NET is usable; BLS full-cache integration should be a follow-up now that Ali has added more BLS data to the VDS.

07. Safety Boundary

The engine is useful locally, but production stays blocked.

artifacts/validation/production_deployment_approval_v1.json reports production_blocked_approval_required, 0 approved unlocks, 5 blocked domains, and 1 open review hold.

08. Validation

Commands run:

uv run ruff check src/aina_data_engine/title_adjudication.py src/aina_data_engine/public_source_snapshots.py src/aina_data_engine/config.py scripts/run_icp_spark_backlog.py tests/test_icp_title_adjudication.py tests/test_public_source_snapshots.py
uv run pytest tests/test_icp_title_adjudication.py tests/test_public_source_snapshots.py -q
uv run aina-data-engine --root /srv/aina/aina-data-engine-room validate
uv run pytest -q

Results:

09. Resume Commands

Start here:

cd /srv/aina/aina-data-engine-room
git status --short --branch
git log -1 --oneline
uv run aina-data-engine --root /srv/aina/aina-data-engine-room validate
uv run python - <<'PY'
import json
m=json.load(open('artifacts/validation/icp_title_adjudication_v1.json'))['metrics']
for key in ['serviceable_rows_after_adjudication','remaining_adjudication_required_count','review_prompt_candidate_count','review_prompt_row_count','multi_llm_decision_rows_applied']:
    print(key, m[key])
PY

Expected current title state:

serviceable_rows_after_adjudication 50053
remaining_adjudication_required_count 491
review_prompt_candidate_count 0
review_prompt_row_count 0
multi_llm_decision_rows_applied 10957

10. Recommended Next Milestone

Do not restart title adjudication from scratch. The promptable backlog is exhausted.

Recommended next sequence:

1. BLS full-file follow-through: parse the newly added VDS BLS files into the official-cache path, prove row counts and SOC joins, update public_source_snapshot_v1.
2. Residual 491 policy: decide whether to leave the residual as a conservative hold, route by stronger deterministic domain rules, or send a small domain-specialist GPT review only for those 491.
3. Serve-now upgrade: define the threshold that moves a title from serve_with_fallback to serve_now; do not use raw model confidence alone.
4. Beta runtime hardening: keep local synthetic beta ready, then add real auth/data/privacy gates before any real learner data.
5. Founder review surface: use the reports and validation receipts, not raw JSON/model logs, as Ali's main review path.

11. What Not To Do Next

Do not:

• Re-run all title batches from zero.
• Treat the ignored raw model-output logs as the source of truth over the accepted merge/validation receipts.
• Unlock public runtime, external writes, real-user data, production telemetry, or deployment promotion.
• Claim BLS wage/employment coverage is complete until the full official VDS cache is parsed and validated.
• Promote the 491 residual titles without either deterministic evidence or a bounded model-review receipt.

Footer

Ali Mehdi Mukadam - co-authored with Codex - 2026-06-11

topics:
  - aina-personalization-engine
  - data-engine-room
  - icp-title-coverage
  - vds-local-execution
subtopics:
  - final-handoff
  - repo-inventory
  - multi-llm-adjudication
  - hugging-face-provenance
  - production-boundaries