BENI AI LAB
Mission Control case study
Updated 11 November 2026

PROBLEM
Help one founder review business knowledge, work, leads and decisions with traceable inputs and visible gaps.

IMPLEMENTATION
A local Python dashboard and SQLite database import the four Beni business records, preserve source snapshots and support operational record updates. Rules compute counts and date exceptions. The current AI path is a manually initiated Codex briefing: export the records and prompt, review the response, then record the reviewed result with its source export and notes.

CONTRIBUTION
The founder set the business direction, priorities and review requirements. AI coding assistance supported implementation, testing, investigation and documentation. Decisions and acceptance remain with the founder.

CONTROLS
Original source records and current database edits are distinguished. Exported inputs and review notes are retained. Stale exports cannot be saved as current reviewed briefings. Manual review does not mark the API as verified. The briefing workflow has no tools for outbound messaging, publishing or spending.

EVIDENCE
The inspected local baseline has 32 passing automated tests and a passing JavaScript syntax check. A later reconciliation in the founder's transferred working copy reports 41 passing tests; the updated artefacts have not been independently inspected for this website build. Automated provider success is mocked. Manual pasted output still requires a founder to assess factual support and usefulness.

API STATUS
The optional API adapter identified an exhausted credit balance in a live request. No successful live API briefing is claimed. API funding is deferred while the founder uses manual Codex briefings.

RELEASE DECISION
Local prototype; production no-go. Acceptance criteria are under founder review. Authentication, secure deployment, monitoring, tested recovery and measured quality/cost acceptance remain outstanding for a production service.

NEXT STEP
Accept the operating workflow against task-specific criteria and a fresh reviewed briefing. Use fictional records for public demonstrations. No revenue, quantified productivity gain, enterprise client deployment or autonomous operation is claimed.

The public website is a static portfolio. Its guided walkthrough contains fictional records and prewritten outputs, makes no model request and saves nothing.