# Questions, answered.

No pitch — just straight answers to what team.management is, who it’s for, and why it works the way it does.

- Who is this for?

  People who want to know what's actually happening in their projects. If you're serious about what you build, you don't take the AI's word for it — you want to see the work.

- Is this only for coding?

  No. It's built into Claude Code, so it lives in your terminal — but what it manages is your process, not your code. Anything you'd hand an AI in steps — research, writing, analysis, ops — runs on the same rails, with the same enforcement and the same record.

- Why does this exist?

  Because AI is a convincing liar. It says "done" with total confidence, even when it cut the corner. This gives you control over what your AI is allowed to do — and a record of what it actually did.

- Why do I need it?

  Maybe you don't — if you read every line your AI writes and never ship on trust. Most people don't; they trust it a little more each week. This is for the moment the work matters and you can't actually see what the AI did. It gives you that back — so "done" means done, and you can prove it.

- How do I know the AI really did the work?

  It can't just tell you. The steps are enforced while it works, and you get a record you can check afterward. You're not trusting a summary the AI wrote about itself.

- Why more than one AI model?

  One model has one point of view. A second model was trained on other data, by another team, so it notices what the first one missed. They disagree in useful ways. It's the same reason you'd want a second opinion from someone who trained somewhere else. You decide where it counts — investigating a problem, reviewing the code — and team.management can put Claude, Codex, and Antigravity on it side by side. More opinions, fewer blind spots.

- Can I use my own model, or a local one?

  Yes. Claude Code can run a local model or another provider's, and team.management doesn't care which. The rails are in the protocol that runs around the model — the steps, the gates, the reviews — not in the model itself. Swap the model and watch them still fire.

- Will it make my AI write better code?

  No. It won't rescue a vague task or a missing test. It keeps the process honest — getting the spec right is still your job.

- Is it free?

  Yes. Open source under the MIT license — no account, no API key, no paid tier.

- What do I get, exactly?

  Your process on rails. The AI can't skip the steps you set, and you're left with proof of what happened — not a promise.

More: [the docs](https://team.management/docs.md), [about](https://team.management/about.md), and [install](https://team.management/docs/install.md).