AI agents in production: what nobody tells you

Building an agent that wows in a demo is easy. Keeping it reliable with real users is another story. These are the pieces we always include.

Continuous evaluation

Without an eval set, you don't know whether a change improves or breaks the system. We treat prompts and flows as code: with tests and metrics.

End-to-end observability

Traces of every agent step, per-request costs and alerts when something degrades. What you can't measure, you can't operate.

Humans in the loop

For sensitive decisions, the agent proposes and a person confirms. Automation doesn't mean removing people — it means giving them superpowers.

Got a process to automate with agents? Write to us.