Most agent demos look fine right until they touch real repos, real secrets, or a teammate’s machine.
I kept seeing the same failure pattern: the team could tell the model was smart, but not whether the workflow was actually safe to let loose.
So I turned our internal checklist into a tiny readiness kit.
What it checks in a lightweight way:
- where permissions are broader than the task needs
- where prompts and tools can leak data across sessions
- where “works in demo” breaks once the agent hits production-like context
- where handoff, rollback, and audit evidence are missing
This isn’t a big platform pitch. It’s a practical preflight for teams testing coding agents or internal AI helpers before they create a very expensive surprise.
If you’re already using agents in repo, ops, or internal workflow environments, I’d love to know which failure mode shows up first for you: permissions, tool sprawl, missing audit trail, or rollback gaps?
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