You need the thing built, not advised on
DevelopmentWe write the software. In house, on our own stack, with a short supply chain and the smallest blast radius we can design into it. You own what we build.
AI services for real work
We review what your AI can already do on its own, then fix what is unsafe.
The AI security review, in full →
Most new software now ships with AI in the loop. Supabase alone reports that coding agents launch the majority of its databases, millions per month, by its CEO's own count. Once that software touches real money, customer records, or the public, somebody has to keep it safe, and almost nobody is assigned to. That is where we start.
Our specialty is use-case identification: vision-first, working backwards from where the business should be to the repeated work worth changing now.
Free diagnostic · no card · you keep everything we make
The ladder
The review shows what is unsafe, the build fixes it, and the subscription keeps it fixed, one relationship from the first call to every release after.
Start with the free diagnostic →01Free 30-minute call
02The review, one price
03The fix, quoted per client
04Subscription that keeps the gates on
Included
Setup, training, receipts, a 7-day fix window, and day-30 follow-through.
Small business and large companies
The review is the same either way. What changes is how much of the fixing runs automatically and how much needs our hands on it.
How we find the first branch
SpecialtyUse-case identification
Start pointVision first
MethodWork backwards
NowRepeated work worth changing
Along the wayBusiness ideas surfaced
How we build
BuiltIn house, on our own stack
Supply chainShort, by design
Safety and privacyDesigned in from the start
Local AIFor data that stays put
Your toolsMinimal blast radius
What we do
Find the row that sounds like your week.
These are not five products to choose between. They are the five shapes the work usually takes, and most engagements use more than one.
The same work comes back every week
AI workflow creationOne repeated task, handled end to end, with a review gate that stays yours. Nothing goes out until a person says yes.
You have agents running and no way to tell whether they are right
Agent evaluationWe check agent behaviour against a fixed expected outcome, graded the same way every time, and never let an agent grade its own work. Where we have no measured baseline yet, the result reads unmeasured rather than pass.
You need a decision, not a deck
ConsultingUse-case identification, vision first, working backwards from where the business should be to the repeated work worth changing now.
Your team has to run it after we leave
TrainingPeople practice on the system they will keep using, on their own work, and leave with a proof note their manager can read.
Inside the review
Five checks run over your system, and you get told which ones ran.
The same engine we point at our own repositories, including the one this website lives in. Every check you get has been run on us first.
Your code
More than 35 static-analysis rules across Go, JavaScript, TypeScript and Python, plus credential-storage rules for Swift. No model call anywhere in the scan path, and the exact rule definitions that graded your code are hashed into your report so they can be re-run and checked.
Your dependencies
The packages your project pins, checked against the public OSV vulnerability database. Anything we could not reach is listed as unmeasured, never as clean.
Your secrets
Keys, tokens, and credentials left in the tree where an agent can read them.
Your AI instructions
What your agents were actually told to do, read as source rather than taken on trust.
Your visibility
Whether AI answer tools describe you correctly when a buyer asks about you.
A check that could not run
It is reported as unmeasured and held apart from a clean result. Two of the five engines exit quietly when they have skipped the work, so a green report you cannot trust is the failure we designed against first.
What you keep
A written capability map, a live walkthrough where you watch your own AI act, and a signed record binding the report to the exact list of checks that ran.
What it costs you
The work you repeat every week already costs you something. Most of it never reaches an invoice.
You already know what those hours cost you, to the hour, better than any calculator we could put on this page. So here is our side of it instead.
Now the other side of it, since you will ask.
The review is one fixed scope at one fixed fee, agreed on the free call before any work starts, so nothing about it moves once we begin. Fixing what the review finds is a separate engagement, scoped and priced per client after you have read it. Keeping the gates running once it is fixed is a separate subscription.
Take InterestOne fixed fee, once
A review of what your AI can already do on its own: a written capability map and a live walkthrough where you watch your own AI act. The fee is agreed on the free call and does not move afterwards. Fixing what it finds is a separate engagement, quoted per client after the review, never before. Keeping the gates running as you ship is a subscription.
Project laborPer project, then again
A freelancer builds it and leaves. The next change, the next fix, and the maintenance are each a new quote, and nobody carries the context between them.
In-house timeYour hours, every week
Your own hours at your own loaded rate, which you know better than we do.
What the branch returns
Every branch returns a result you can see and show.
An AI system runs each of these. You keep the review gate, so nothing goes out until a person says yes.
AI visibility
We check where AI answer tools mention you across five surfaces↓ you approve the recheck planGap list and 30-day recheck plan out
Repeated task setup
Your repeated task goes in and the system runs it↓ your review gate decidesA working system and a receipt out
AI training for employees
Your team drives the same loop on your own work↓ practice and feedback gateProof note and next attempt out
Onboarding systems
Role and customer journeys go in↓ curriculum and review gateA working onboarding path, built end to end, out
Decision sprint
An AI red-teams both sides of your choice↓ you read the anti-case and decideDecision memo and adoption trigger out
Watch a real run
Watch us run our own method on ourselves.
Recorded run. Every date is real. This is us running our own method on ourselves.
STEP 1 OF 5
2026-06-16
Baseline recorded
Our own system queried five answer surfaces about us: ChatGPT, Claude, Perplexity, Google AI Overviews, Google Knowledge Graph.
For small and legacy businesses
A course teaches ideas. It rarely leaves a working system.
Done-with-you AI adoption: we find the first repeated task worth changing, build it in house, train the team on their own work, and leave receipts. Your documents, decks, and reports generate themselves in your own style, and the tools you keep stay connected. It starts with the free diagnostic.
You start
A course or a few tools
You learn the ideas and try a prompt or two.
You stall
No working system
The new way of working never lands inside your own business.
You look for help
Done-with-you build
Someone builds the system with you and trains the team.
Why us
We understand the work before we change anything.
OperatorLived the work
BuilderWrites the tool
TeacherDrives adoption
BeliefAdoption is the product
LoopMistake to mechanism
FinanceReporting work
Customer serviceReal handoffs
RangeStartups and large companies
Free diagnostic · a 30-minute consultation
Let's start where you are with AI, even at the very beginning.
Bring a task, a question, or just curiosity. We show you where AI fits, where it does not, the risks, and a first move. If it looks like we can help, you get a link to book a free 30-minute call. No sales script and no obligation. If we are not the right fit, we will say so and point you somewhere better.
- → You bring your work, whether you have a clear task in mind or no idea where to start.
- → We show you where AI fits, where to leave it alone, the risks, and a first move to make.
- → You leave with a next step you can use, with us or without us.
Quick qualification
Fill the first two answers to unlock bookingThe booking link opens once the business and task are filled. It goes straight to a calendar, so there is no new backend and no marketing list.
Not ready for a call yet?
We write up what we learn as we build. Roughly monthly, and you can leave whenever you want.
Mailchimp emails you to confirm before adding you. We never sell your address.
Service questions
Questions, answered.
What is AI for small business work here?
We start with a review of what your AI can already do on its own, then fix what is unsafe and keep it fixed. We do the same work for large companies, where it takes more hands and a longer runway.
What does AI training for employees include?
Training is tied to the work itself. People practice on the system they will keep using and leave with a proof note their manager can read.
Can you help with onboarding?
Yes, as part of training we design and build the onboarding system end to end: the curriculum, the flows, the pages, and the backend behind them. That covers new hires ramping on real work and the customers or members you onboard into your own product or community.
Can you automate my business?
We do not automate a whole business at once. We choose one task, build for it, review it, teach it, and only then widen the work.
Is this a product or a service?
The service comes first: we build you one working system and train your people to run it. Over time it grows into your own AI setup for the whole company, connected and owned by you.
Can you review the AI setup we already have?
Yes, when the exact tool or code can be checked. If it is public we compare it from source. Otherwise we verify the real thing before we advise.
Do you work as an AI consultant for small business?
We work with small businesses and with large companies. The review is the same either way. What changes is how much of the fixing runs automatically and how much needs our hands on it.
Who can help my small business adopt AI?
Someone who builds with you, trains your people on the real work, and stays for the day-30 check. That is what we do: a free diagnostic first, then one working system, then more systems that share one memory.