AINA data engine room - Codex - 2026-06-13

Review Operations Dashboard v1

Review queue items are grouped into operator action lanes with packet evidence, authored content coverage, and beta-shell readiness so model quality gates can start from a durable local dashboard instead of raw JSON.

The Single Idea

This dashboard turns local queue rows into review lanes with the evidence a model/adversarial reviewer needs first: source refs, authored content coverage, GDPval links, and beta-shell readiness.

01

Dashboard Snapshot

readystatus
12review items
12source-backed
12content-backed
4GDPval-linked
12action states
Truebeta ready
Truelocal only
64content nodes
02

Operator Lanes

LaneItemsFirst Queue Id
model_risk_review12aeb3b2be2e35e6b8
03

First Review Actions

PriorityLaneStateOwnerFunctionTitleGapDecision PromptCloseout CheckContent
96.663model_risk_reviewready_for_model_quality_gatemodel_risk_reviewcustomer_successaccount managerrisk_review_requiredConfirm the packet boundaries are sufficient for beta exposure.Record the accountable model-review decision, then rerun review-dashboard.pass
96.584model_risk_reviewready_for_model_quality_gatemodel_risk_reviewpeople_hrhuman resources generalistrisk_review_requiredConfirm the packet boundaries are sufficient for beta exposure.Record the accountable model-review decision, then rerun review-dashboard.pass
96.561model_risk_reviewready_for_model_quality_gatemodel_risk_reviewproductproduct managerrisk_review_requiredConfirm the packet boundaries are sufficient for beta exposure.Record the accountable model-review decision, then rerun review-dashboard.pass
94.851model_risk_reviewready_for_model_quality_gatemodel_risk_reviewoperationsproject managerrisk_review_requiredConfirm the packet boundaries are sufficient for beta exposure.Record the accountable model-review decision, then rerun review-dashboard.pass
94.736model_risk_reviewready_for_model_quality_gatemodel_risk_reviewfinancesenior accountantrisk_review_requiredConfirm the packet boundaries are sufficient for beta exposure.Record the accountable model-review decision, then rerun review-dashboard.pass
94.627model_risk_reviewready_for_model_quality_gatemodel_risk_reviewdata_analyticsdata analystrisk_review_requiredConfirm the packet boundaries are sufficient for beta exposure.Record the accountable model-review decision, then rerun review-dashboard.pass
94.577model_risk_reviewready_for_model_quality_gatemodel_risk_reviewlegal_complianceparalegalrisk_review_requiredConfirm the packet boundaries are sufficient for beta exposure.Record the accountable model-review decision, then rerun review-dashboard.pass
91.163model_risk_reviewready_for_model_quality_gatemodel_risk_reviewsalessales managerrisk_review_requiredConfirm the packet boundaries are sufficient for beta exposure.Record the accountable model-review decision, then rerun review-dashboard.pass
90.559model_risk_reviewready_for_model_quality_gatemodel_risk_reviewmarketingmarketing managerrisk_review_requiredConfirm the packet boundaries are sufficient for beta exposure.Record the accountable model-review decision, then rerun review-dashboard.pass
90.543model_risk_reviewready_for_model_quality_gatemodel_risk_reviewdesign_creativegraphic designerrisk_review_requiredConfirm the packet boundaries are sufficient for beta exposure.Record the accountable model-review decision, then rerun review-dashboard.pass
90.505model_risk_reviewready_for_model_quality_gatemodel_risk_reviewstrategy_consultingleasing consultantrisk_review_requiredConfirm the packet boundaries are sufficient for beta exposure.Record the accountable model-review decision, then rerun review-dashboard.pass
88.81model_risk_reviewready_for_model_quality_gatemodel_risk_reviewadministrationassistant store managerrisk_review_requiredConfirm the packet boundaries are sufficient for beta exposure.Record the accountable model-review decision, then rerun review-dashboard.pass
04

How To Use This Dashboard

Use this as the model quality-gate cockpit for the current local validation state. Close items by improving the underlying packet, source, risk, sandbox, or authored-content evidence, then rerun review-dashboard and validate.
Where to start
Start in the highest-count action lane, inspect the first queue id, and fix the underlying evidence instead of editing dashboard rows by hand.