Mill, by Ternolab · private preview

You agree the spec.
Mill merges the code.

One conversation with an agent settles what the feature must do. After that, agents design it, write it, test it and merge it into your main branch.

Request accessWatch a run ↓

How it runs

One conversation, then hands off.

  1. 01

    Talk

    Describe the feature. The agent pushes back on anything that clashes with your code or your stack.

  2. 02

    Confirm

    You mark each requirement ready. Confirming is the handover.

  3. 03

    Merged

    Design, steps, tests and the pull request run without you.

Built to run without you

  • 1Tests written blind

    The acceptance tests come from the requirements alone. The agent that writes them never sees the code.

  • R1R2R3001002003004005design0203
    requirementdecisionstep

    2Every guess on record

    Each choice an agent makes is a file in a graph, linked to the requirement it touches. It merges with the code.

  • 3Stops when it should

    A failed step retries once. Then the design agent rewrites its prompt, up to three times. Then it comes back to you, with questions.

  • 4Your repo, your CI

    Mill opens a pull request and merges it when your checks pass. You review once per repo: the onboarding pull request.

Spec plate

What does the work.

Large models where the thinking is. Small models where the typing is. Deterministic code wherever a check can be written down.

Requirements, design
Opus
Steps, acceptance tests
Sonnet
Checks
Plain code, not an agent
Merge
GitHub PR or local git
Features at once
No limit
Human reviews
One per repo

TL-MILL · SERIES 1

Services

Not ready to hand over?

We also work alongside your team.

What each engagement covers →

  1. 01

    AI opportunity assessment

    Where AI is worth applying in your business, and where it is not.

  2. 02

    Pilot build

    One workflow taken from brief to production, with an evaluation suite that establishes whether it improved on the baseline and reports when it begins to drift.

  3. 03

    Secure AI design

    Architecture and threat modelling for systems that handle company information or act on it.

  4. 04

    Customer security diligence

    The AI section of the questionnaire holding up a contract, answered accurately, evidenced, and documented so that the next one costs a fraction of the first.

  5. 05

    Fractional AI lead

    Continuing technical direction for teams past their first project.

Private preview

Request access

Tell us about the repo you would point Mill at.

hello@ternolab.com