You built the tool. We make it dependable.

AI helped you get an app, automation, or workflow running. We take on the part that gets harder from there: bugs, security, integrations, deployment, and the changes it needs once people start relying on it.

AI Mechanic
THE ASSESSMENT

It works until it doesn’t.

The first version proved the idea. Now an error keeps coming back, an integration is brittle, the permissions are unclear, or deployment feels too risky to touch. Bring us what you built. We will inspect it, tell you what matters, and fix it.

Screenshot of an AI-built web app
The fix

The last mile between almost working and dependable.

We focus on the places where AI-built tools become fragile: security, logic, integrations, deployment, and scale.

Bugs and workflows that fail without a clear reason
Exposed keys, loose permissions, and unsafe defaults
Fragile prompts, logic, APIs, and integrations
Deployments that work for one person but not the team
Screenshot of an AI-built app dashboard
HOW IT WORKS

From almost working to in use.

Start with the thing you built. We will show you what needs attention, agree on the work, and take it through deployment.

SHARE
Send the link

Share the URL exactly as it stands. We want to see the thing you built, not a polished explanation.

AUDIT
Inspect the build

We find what is broken, risky, fragile, or creating unnecessary cost.

SCOPE
Agree on the fix

One call turns the audit into clear priorities, a defined scope, and a practical timeline.

SHIP
Put it to work

We repair, test, deploy, and document the tool so people can rely on it.

We work with the best and make them even better.

“I feel confident that we'll be able to support what we close without massively increasing opex.”

— Gregg Clunis, CEO