Engineering team

Build faster. Ship safer. Keep ownership.

Delivery data lives in five systems and nobody agrees on "how often do we deploy" or "what's our failure rate." An engineering team uses OpenX to crystallize those into shared sources of truth any agent can read and build on - while keeping what ships a human call.

1. Connect your delivery data

Add a connection fed by your deploy/CI events and route it onto a Delivery surface (a simulator stands in while you wire the real feed).

2. Crystallize the metrics

3. Read from any AI - in your editor

Install the workshop into your agents (fai mcp install …/oi-api/mcp). Now Cursor, Claude Code, or a local model answers "what's our change-failure rate this week?" against the same source of truth - in the editor, no dashboard hunt.

4. Build the next - reviewed

Ask your agent to "add a feed for incident counts and combine it with deploys." It proposes the new connection + combined query; you accept in the portal. Building is open to any agent; what goes live is your team's call - the confidence layer.

5. Compound

Every accepted query is shared, versioned, and reachable by every teammate's AI. The metrics stop being arguments. Next: Enterprise team.