Mantyl.devUse cases

One handover, many seats.

The mechanics of handing over AI-built software are the same everywhere: evidence out of the build, verification in a clean environment, a document the other side can check. What changes is who is standing on each side and what they stand to lose. These are the eight situations we see most, each with its own failure mode and its own version of the fix.

Delivering an AI-built project to a client, as a freelancer

The solo builder's delivery: turning a fortnight of agent-assisted work into a handover a client pays for without a flicker of doubt.

Shipping AI-assisted client work, as an agency

A delivery standard across the whole team: every project closes the same way, every client gets the same proof, juniors can run it.

Handing an AI-built codebase to another developer

The successor does not need your opinions, they need your evidence: what ran, what was decided, and what nobody ever checked.

Selling a micro SaaS built with AI

Buyers discount what they cannot verify. A passport turns due diligence from a trust exercise into a checkable artifact, and that moves price.

Handing the founder's AI-built product to the first technical hire

The codebase your company runs on was built at prompt speed. Day one for your engineer should start with a map, not archaeology.

Contractor offboarding with proof of delivery

Ending an engagement cleanly, from either side of it: a named record of what was delivered, verified, and left open.

From AI prototype to production team

The demo won the budget and now real engineers inherit it. What the prototype needs to carry with it to survive the promotion.

Archiving a project so future you can run it

Six months from now you are the recipient. The cheapest handover you will ever do is the one to yourself, while the context still exists.

Guides · Docs · PricingWritten against the real product