m00labs
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About m00labs

m00labs is an independent AI consulting and MVP engineering lab. We exist to close the gap between AI strategy and working software — and we do it with fixed-scope packages, model-agnostic delivery, and a definition of done agreed in the scope: a verdict and roadmap delivered, or software deployed, documented and operable.

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Engineering process

How the lab works on a build

Illustrative concept
The process Stages 01ScopeWritten scope and interfaces 02BuildWorking software, in slices 03VerifyTests, review, honest verdict 04HandoverDocs and awalkthrough What verification finds goes back into the build. What each stage produces ScopeA definition of done, inwriting, that you approvebefore work starts. BuildSoftware you can run andsteer, not a slide aboutsoftware. VerifyTest results and a plainstatement of what is notcovered. HandoverDocumentation and awalkthrough so your teamcan operate it. Verification is a stage, not a formality — it is where a claim either survives or gets rewritten.
0101 · ScopeA definition of done inwriting, approved beforework starts: what is in, whatis out, and what finishedlooks like.0202 · BuildWorking software in slicesyou can steer, held to theinterfaces agreed at scope.0303 · VerifyAutomated tests plusmanual passes, and a plainstatement of what is notcovered. Findings go backinto the build, not into afootnote.0404 · HandoverDocumentation and anoperator walkthrough, sothe work continues withoutus.
  1. 01 · ScopeA definition of done in writing, approved before work starts: what is in, what is out, and what finished looks like.
  2. 02 · BuildWorking software in slices you can steer, held to the interfaces agreed at scope.
  3. 03 · VerifyAutomated tests plus manual passes, and a plain statement of what is not covered. Findings go back into the build, not into a footnote.
  4. 04 · HandoverDocumentation and an operator walkthrough, so the work continues without us.
Illustrative concept — not a client system. The process shown is how the lab organises its own work: scope agreed in writing, builds made visible, verification that can change the outcome, and a handover your team can operate. It describes a way of working rather than a specific engagement.

Why m00labs exists

Most companies do not need an AI department. They need specific workflows to run better: documents processed instead of re-keyed, data synced between systems instead of copied, questions answered from internal knowledge instead of a hunt through tools. That is engineering work with AI inside it — and it only pays off when it is scoped tightly and shipped properly.

m00labs takes a concrete business problem and decides with the customer what it needs: a scoping session that ends in an honest verdict and a roadmap, or an automation, custom integration or full MVP that ends in working software. We work across OpenAI/ChatGPT, Anthropic and open-source models, and we use our own tooling only where it is genuinely the better fit for the job.

How we work

  • Remote by default. Engagements run remotely with regular demos and a written summary of what was agreed at each stage.
  • Fixed scope, agreed in writing. Every package starts with scope in, scope out and the deliverable — approved before the work begins.
  • Model-agnostic. OpenAI, Anthropic or open-source models, chosen per problem and named in the quote.
  • The deliverable matches the package. Consulting ends in an honest verdict and a roadmap your team keeps; builds end deployed with tests, documentation and an operator walkthrough, so your team can run what was built.

The engagement model

A typical m00labs engagement starts with the customer's problem and moves through a scoped package. Consulting packages — a clarity session or an audit — end in an honest verdict and a roadmap; build packages — an automation sprint or MVP build — end in working software the team can operate. The packages are deliberately sequenced so you can enter at the point that matches your certainty: low-commitment clarity work when you are unsure, straight to a build when you are not.

Independence matters

We are not a reseller and not a body shop. No vendor's roadmap drives our recommendations, and no hourly meter rewards us for taking longer. When a workflow is not worth automating, the honest answer is part of the deliverable. That independence is why the scoping packages exist — and why the build packages can promise a defined deliverable at a fixed scope.

Work with the lab.

Tell us what you want to run. The request is recorded for scoping, and hi@m00labs.com is the published email address.

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