AINA data engine room - AI Fluency tool-context hardening - 2026-06-13

Tool-Context Hardening Queue

The top-band rows still missing role-specific tool context are checked through a deterministic hardening queue. The queue prioritizes JD-aware/source-authority joins and blocks title-only tool inference, live Gemini calls, batch embedding, and learner proficiency claims until source evidence is attached. A zero-row queue means existing source context has resolved this specific tool-context gap.

The Single Idea

The missing tool-context rows are now a source-authority work queue, not an excuse to infer tools from titles.

0gap rows
0top-500 gaps
1000any tool context
0batch candidates

Gap Classes

Gap classRows

Hardening Actions

ActionRows

Semantic Sample

RankTitleFamilyGap classPriorityAction

Checks

CheckResult
coverage_receipt_validPASS
input_rows_presentPASS
queue_rows_match_coverage_gap_countPASS
all_queue_rows_are_missing_tool_contextPASS
every_row_has_hardening_actionPASS
family_resolution_rows_block_embeddingPASS
sensitive_rows_have_boundary_actionPASS
no_title_only_tool_inferencePASS
queue_is_not_embedding_manifestPASS
no_runtime_or_production_unlocksPASS
no_live_gemini_api_invokedPASS
no_legacy_review_gate_fieldsPASS
This queue blocks embedding, batch manifests, learner proficiency claims, public runtime, real-user data, external writes, and production telemetry.