fab·ric
1 underlying structure FRAMEWORK*
Fabrik weaves your AI agent a working copy of your world — a place where every run is proven before it touches the real one.
1 underlying structure FRAMEWORK*
Fabrik weaves your AI agent a working copy of your world — a place where every run is proven before it touches the real one.
*Merriam-Webster
READ ONThis is what work looks like now. Each dot: population density.
This is what it looks like next. Each cube: an agent on the job — answering, filing, booking, fixing.
Agents will act in the real world with real stakes. They should be proven somewhere first.
Follow this one.
An agent touches the world only through its calls. One doorway. Fabrik stands in it — every call checked, carried out, recorded. The agent is unchanged. It cannot tell.
Behind the doorway, Fabrik weaves it a world — orders, tickets, payments, customers — shaped like the real ones. All of it on one warp: customer 412 here is customer 412 everywhere. And every service wears an honest label.
weaving its world…
orders, customers — simulated
tickets — replayed from recordings
payments — real rails, safe money
email — blocked at the doorway
It does the job here, over and over. Breaking costs nothing — the mill just weaves the world again. And every change a run leaves in the cloth is tagged to the exact call that made it.
When the run ends, the rules land on the world itself — not on the story the agent tells. The cloth is drawn up and read, row by row. One row is wrong — written by call 14 — and the doors stay shut.
The whole run is frozen — it can be woven again whenever you ask, same world, same calls, version against version. The wrong row comes back right, and only now, the doors open.
Out into the real world. Not because it sounded right — because the world came back right.
Your agent touches the world through one doorway: its tool calls. Fabrik stands in that doorway. Connecting is a redirect — every call checked, carried out, recorded, and every change in the world tagged to the exact call that made it. Your agent’s code does not change, and it cannot tell the difference.
From your tool definitions, docs, and traces, Fabrik weaves a working copy of your world — customers, orders, payments that behave like yours. One cloth, not a pile of unrelated mocks: the customer in the CRM is the same customer whose payment sits in the payment system, so correctness holds across services, not just inside them. Each service runs at the level you choose — fully simulated, recorded, real but safe, or blocked — and every verdict says plainly what it was tested against.
When a run ends, hard rules are checked against what is actually in the world: exactly one record changed, the right one, nothing else touched. AI review can advise on the soft things; it never decides. Failures come back with receipts — the first rule broken, the exact step, the data change that proves it. That catches the call that looked perfect but hit the wrong record, and the agent that said done when nothing had happened at all.
Every scenario is frozen, so the identical situation can be re-run on demand. Change the prompt, swap the model, add a tool — re-run everything that ever went wrong and see what the new version fixes and what it breaks, before production finds out for you. Wire it into your deploys and it becomes a gate: a version that fails its scenarios cannot ship. The team that can show evidence gets to turn the agent on.
Built for teams shipping agents that act — support, voice, browser, coding, and regulated work — on stacks like LangGraph, OpenAI Agents SDK, Vercel AI SDK, and Google ADK.
We're working with a small set of design partners. Or write to us directly: founders@fabriklabs.ai