F200.ai / How we work
From first pilot to production, one partner.
Built with AI, shipped by humans. Engineers stay accountable from the first assessment to running what we built.
How an engagement runs
Assess
In your cloud account.
Build with gates and evals
Review gates and evaluations decide what ships.
Run and improve
Accountable after go-live.
Built with AI, shipped by humans.
The diagram describes the engineering workflow. It does not promise an autonomous release or certification.
Intent
Humans define intent and set policy.
Agents
Agents carry out the work.
Gates
Validation gates check the candidate. When a check fails, the candidate returns to the agents for revision.
Production
Engineers ship the accepted result to production.
What we hold to
Your cloud, your data, your rules.
Human approval where it matters
Open source and open weights where we can
Measured, not promised
We run on what we ship.
Proof from this website itself. You can check each point.
Every AI call on this site passes a cost cap.
Each new AI feature lands switched off behind a feature flag and is turned on only once its evaluation is in.
Every release passes an automated naming and claims gate before it deploys.
It refuses a release whose pages, Markdown twins or agent endpoints show an internal name or a listed claim we cannot back, such as a certification, a price, a partner tier or a statistic.
The site is readable by AI agents.
Every page has a Markdown twin, the portfolio is published as JSON, and an MCP endpoint answers agents.
Your agent is welcome here.
The same facts, in the formats agents read.
Frequently asked questions
Does an AI release to production on its own?
No. Agents carry out the work, validation gates check it, and engineers ship the accepted result to production.
Does everything run in our account?
Each service page says where its work runs. We do not make it a blanket claim.
Can my AI assistant read this page?
Yes. This page is ordinary HTML that needs no AI call, and it is also served as Markdown. Your assistant can read the published catalog or connect through F200.ai’s MCP interface.
Start with the problem.
We’ll start with a conversation.