AINA Data Engine Room · Handoff · 2026-06-13

Top-Band Source Evidence Completion Bridge

A low-risk abstain became a source-backed, caveated fallback by using the attached JD context instead of title-only repair.

Ali Mehdi Mukadam · co-authored with Codex · Repo: /srv/aina/aina-data-engine-room

The Single Idea

This slice fixed one remaining top-band runtime abstain without using an LLM or live embedding call. The title ai content writer was blocked because existing snippets were too thin, but the LinkedIn JD rows already contained clean responsibility evidence.

01 · What Changed

Source Completion And Bridge

Two new lanes were added. top_band_source_evidence_completion_v1 reads only low-risk source-authority incomplete abstains and derives clean snippets from existing JD rows. top_band_source_evidence_contract_bridge_v1 consumes only completion-pass rows and emits caveated fallback contracts.

1completion row
6clean JD snippets
8source refs
02 · Key Evidence

The JD Was Useful

The completed row is ai content writer, rank 413, top band top_500, function marketing. Clean snippets include chatbot conversations, prompt-answer writing, model comparison, and fact-checking. Benefits, paid hourly text, PayPal/payment text, and schedule artifacts were filtered out.

Persisted SignalWhy It Matters
Compare AI model performanceSupports evaluator and workflow realism.
Research and fact-check AI responsesMaps directly to judgment quality.
Write prompt-based answersSupports content-production practice tasks.
03 · Route Impact

One Less Abstain

The row moved from abstain to fallback, not full serve. That is the right production posture because source evidence is now stronger, but full runtime service authority is still not claimed.

483 / 3 / 13top 500 serve / fallback / abstain
944 / 27 / 25top 1000 serve / fallback / abstain
25remaining repair queue rows
04 · Validation

Commands Passed

uv run pytest tests/test_top_band_source_evidence_completion_bridge.py tests/test_production_runtime_contracts.py -q
uv run ruff check ...
uv run aina-data-engine --root /srv/aina/aina-data-engine-room validate
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

Results: focused pytest 9 passed, ruff passed, validation passed, AIN-506 passed, AIN-510 returned promotion_ready, and runtime readiness returned ready_to_harden_headless_production_runtime.

05 · Boundaries

Still Local And Safe

No live Gemini call, no raw JD persistence, no donor repo mutation, no public runtime unlock, no real-user data, no external writes, no production telemetry, no runtime embedding authority promotion, and no legacy manual-review gate.

Sensitive Rows Need A Stricter Lane

The remaining 25 abstains are risk-tagged or confirmation-blocked. The next move is a sensitive-role source-authority lane grouped by risk bucket, with evaluator guardrails before any fallback bridge. case manager should remain held until subtype or learner/source confirmation exists.

Where To Start

Resume by inspecting the 25-row repair queue, then design the stricter sensitive-role bridge rather than promoting those rows by title alone.