Everyone builds alone
Every person uses AI differently and none of it is shared. Quality is a lottery, seniors police it line by line, and nothing improves company-wide because nothing lives anywhere the next person or the AI can reuse.
For 30–100-person companies that build software.
Keeping up with AI is exhausting. A system that keeps up for you sets you free.
We install your company's AI operating system. A partner for every person, a build crew that never sleeps, and an honest meter.
The rhythm
Work is packaged in the evening, built overnight, reviewed each morning.
work packaged in the evening
built overnight
reviewed each morning
acceptance review complete
new model absorbed, nothing reset
context updated
system check: green
morning review ready
only accepted work counted
queue picked up
skills shared across the team
standards applied on every build
keys in the Keychain, never in chat
everything reversible
meter refreshed
workflow tuned
The idea
Most companies stopped at the first level.
Your team already uses AI. Chat windows, a Copilot licence, faster typing. That felt like adoption, so everyone stopped there. The gap between that and what is now possible is the biggest free capacity your company has, and it stays invisible until someone shows you the levels above it.
Adoption with nothing to show
Seats are live, behaviour barely changed, and when someone asks "what did we get for this?" there is no number.
The stalled ceiling
The company stopped at chat and did not know there were more levels. The ambitious go round the walls with shadow AI and real risk. The careful fall behind. Risk and standstill at once.
The install
We install your company's AI operating system.
One team, four to six weeks. Your team builds its own system with us, on your machines, inside your data boundaries.
One call
We look at your team's week, agree what the meter should move, and decide together if an install makes sense.
Scope, in writing
One team, up to 10 people, up to 3 workflows. Acceptance criteria agreed before we start, data boundaries agreed in writing before anything runs.
Build your own, with us
The skeleton lands on your machines. Your team grows it into its own system with us, week by week, on your accounts and inside your boundaries.
The meter goes live
Effort in, output out, from day one. We only count work your team accepted. If the numbers do not move, you will see that too.
You pay your AI providers directly. We never mark up your AI spend.
The starter pack is the whole system at its smallest honest size, installed on one Mac, in one sitting, owned by the person it is installed for. A guided installer does the work; you make the calls.
Illustrative output. The commands are the kit's own; copy any of them.
One person first. Then the team. The company install is this system multiplied: a partner for every person, a build fleet that works overnight, one company repo everyone's partner draws from. Feel the difference on one Mac before you scale it across a team.
What you get
What your team gets.
Five deliverables. Installed with your team, owned by your company.
A partner for every person
A continuous AI partner for each person. It keeps context, carries open threads, and works the way that person works.
A build crew that never sleeps
A build fleet for the team. Work is packaged in the evening, built overnight, reviewed each morning. Output stops being limited by the working day.
An operating layer that holds it together
Routing, memory, self-improving loops. When a new AI tool or model lands, your system absorbs it. Nothing resets.
One company system, owned by you
Your skills, standards and playbooks live in one repo every person's partner draws from. When one person improves something, everyone gets it.
An honest meter
Effort in, output out, from day one. We only count work your team accepted. If the numbers do not move, you will see that too.
What it is not
- ✕Not a training course. Skills decay; systems compound.
- ✕Not a seat licence. Seats plateau.
- ✕Not a slide deck about transformation.
Your team builds its own system with us, on your machines, inside your data boundaries. You pay your AI providers directly. We never mark up your AI spend.
The meter
They claim. We meter.
Every "AI transformation" pitch shows you a slide. None of them show you their own meter. We do, because the company you are talking to runs on this exact system. One person plus an AI fleet, output metered in public.
Effort in, accepted work out, from day one. Cycle time, accepted shipped work, rework rate, hours handed back. We count the work your team accepted, nothing else. The next time someone asks "are we actually good at this?", you have a number, not a vibe.
See the build in public →Illustrative panel. Your meter starts at your baseline and counts only work your team accepted.
Founding terms
Founding terms. First 3 companies.
One team, up to 10 people, up to 3 workflows, acceptance criteria agreed before we start. Four to six weeks.
Monthly system review, new tools absorbed into your system, the meter report, tuning, and office hours.
Founding pricing, revised after the first installs. Founding companies keep their terms.
Security
Security, plainly.
Your data stays inside boundaries we agree in writing before anything runs. Provider no-training settings, access controls, audit logs, human approval on every code change, and your IP stays yours.
Full security appendix on request.
- ✓Boundaries in writing
- ✓No-training settings
- ✓Access controls
- ✓Audit logs
- ✓Human approval on every code change
- ✓Your IP stays yours
Who's behind it.
Marton Gaspar. Product leader. Director of Product at HomeX after its $90M Series A. Coached 100+ leaders including senior teams at NHS, DfE and EY. One of 100 in Marty Cagan's "Coach the Coaches". 10+ years in AI. The company runs on this exact system, in public, metered.
Next step
Start with one call.
We look at your team's week, agree what the meter should move, and decide together if an install makes sense.
or write to marton@martongaspar.com