Put AI to work. Keep the final say.
We help software teams agree on the rules for AI coding tools, put checks around every change, and build a pipeline you can trust.
Every change the crew makes is checked first, then waits for your yes before it goes into your code.
- Your code today
- A checked change, waiting for your approval
Two places teams get stuck
You haven't really started
A few developers are experimenting, nobody has decided what good looks like, and none of it reaches production. We set the rules with you and run them on real work until your team trusts the process.
Everyone does it differently
AI is already in your workflow, but every developer prompts, reviews and ships in their own way. We find where that breaks, keep what works, and turn it into one process your whole team follows.
How our crew works on your code
Your team sets the rules
What AI may touch, and what good work looks like. A person decides.
AI works on many things at once
Each change shows its work before the next step starts.
Checks decide what ships
Work that passes every check waits for your yes. Anything else comes back.
Once the checks have earned your trust, speed follows. The same five changes, twice:
Our process on a live product
We ran this process on a live multiplayer game platform, from bug report to approved fix. The client owns the code, so this shows the method only.
- The steps each change went through
- What was checked before anyone approved it
- The times the right call was to change nothing
Bug reportA player-facing problem comes in.
Cause foundThe Researcher traces it before anything changes.
Fix writtenThe Builder writes it against the project's rules.
Checked and reviewedBefore and after proof, then a full read.
Approved by the clientNothing ships without their yes.
Method only. The client and their code stay private.
How an engagement runs
Every engagement starts with an audit. You see the plan before we build anything, and the audit fee comes off the build.
AI Practice Audit
We look at how your team uses AI today and follow real changes from request to release. You get a plain-English plan: the rules to agree on, the checks to add first, and what to automate, in order.
Build
We set up the rules, checks and pipeline on one real product, then run real work through it and develop team trust in the output. Your team keeps all of it.
Support
We tune the rules, add checks and automation where they help, and give a second opinion on new tools.
Who does the work
A senior engineer runs every engagement and signs off each handoff. In between, a crew of AI agents does the legwork, each with one job. Every change passes through all of them before it reaches you.
- Researcher
Finds the real cause before anything changes.
Hands over: a diagnosis - Builder
Writes the change against your team's rules.
Hands over: the change - Checker
Proves it works, before and after.
Hands over: the proof - Reviewer
Reads it the way your team would.
Hands over: a review - You
See the change, the proof and the review.
Approve what ships
What we do
For software teams
- One set of rules for every AI coding tool your team uses
- Automatic checks on every AI-written change
- A pipeline that takes a ticket to a reviewed pull request
For small businesses
- A website assistant that answers customers and books appointments
- Quotes, follow-ups and review replies drafted for you to send
- Custom tools built around how your shop runs
Fair questions
Who will we work with?
A senior engineer leads your engagement from the audit to the handoff, with the crew doing the legwork. You deal directly with the people doing the work.
Is it safe to let AI act on its own?
Only inside limits you set. By default, every change passes every check and then waits for a person on your team to approve it. You decide how much AI does on its own, and the system enforces it.
Our team isn't ready for AI to release anything.
Then it won't. A person on your team approves every release until you decide otherwise. The checks make that review faster and easier to trust.
Who sees our code?
Only the people and tools you approve. We work in your repositories with access you grant and can take back, sign an NDA before we start, and only use AI services on business terms that don't train on your code. You get the list of every service that touches it.
Tell us how your team ships today
The engineer who would lead your project reads every message and replies with where AI would help and where it should stay out, whether or not we work together.