Use Generate Draft to create report-ready language from the current notes and evidence.
MVP access survey
Start with inspector fit, then open the workspace.
This intake captures who is testing the MVP, what kind of inspection work they do, and what output they need from the AI engine.
Current inspection
Evidence Intake
Drop photos or documents here
Images preview below. File names become evidence references in generated output.
Report package
Findings Draft
Backend integration
Local demo now. Agent API next.
This prototype shows the inspector workflow in-browser. The production backend should send the same job payload to the ChatGPT workspace agent trigger from a secure server, then store the generated package against the inspection record.
Agent trigger: https://api.chatgpt.com/v1/workspace_agents/agtch_6a4431bfd8388191b1e46028e63abea0/trigger
Milestones
Path to an inspector pilot and investor demo.
Survey-gated MVP shell
Inspectors complete the pilot survey first, then unlock intake, evidence upload, draft outputs, exports, and the QA gate.
Chat agent API connection
Connect the backend to the workspace agent trigger, upload files securely, and return draft report sections to the workspace.
Inspector pilot
Run 3-5 real inspections through the workflow, measure draft quality, and collect review edits from inspectors.
Investor-ready build
Add authentication, job history, document export, audit logs, and a guided demo script with before/after time savings.