Free check

Is your team ready to run AI agents in production?

You have the seats. The question is whether your team can operate agents on real work, not just autocomplete in the editor. Check what's true for your team today. The read at the bottom updates as you go, and it's qualitative on purpose.

1. Context the agents can trustgap

Our agents get the current, canonical answer about our codebase cheaply, not by re-reading the whole repo every session.We've dealt with stale and duplicate docs, so agents aren't confidently wrong from bad context.We know roughly what our agents spend on context, and it isn't a surprise line in the bill.

2. Orchestration (one agent vs a fleet)gap

When more than one agent works at once, they don't collide or duplicate each other's work.We have a clear answer to who owns what, in what order, and how work merges.Moving from one agent to several is a planned step, not an accident.

3. Observability (running on evidence, not faith)gap

We can see what each agent did, what it cost, and where it failed, close to real time.An agent with commit access is a measurable system for us, not a black box.We could explain, after the fact, why an agent's change shipped or didn't.

4. The operating model (people, not just tools)gap

Our developers scope work for agents, set guardrails, and review at the right altitude, rather than typing every line or rubber-stamping diffs.At least one lead can operate agents well and coach others.The practice would survive if a single champion left.

5. Adoption and trust (the human layer)gap

Our developers believe agents make them stronger, not redundant, and push the tools hard.AI work is credited to the people doing it, not framed as a way to need fewer of them.The team uses agents on real work, not as fancier autocomplete they route around.

6. Governance and standards (does it survive your bar)gap

Agent output goes through our real CI, review culture, and compliance constraints.We have guardrails an agent can't quietly step around.We'd trust an agent's change in production without a human rescuing it each time.

Want a read you can act on?

This check is a self-diagnostic. The real version runs a time-boxed agent-ops assessment inside your actual repo, not a survey. You get an honest map of where your team is and the highest-impact next moves.

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No login, no score we made up, no data leaves your browser. A real read comes from your codebase, not a quiz.