AI consulting and implementation studio
One operator and an AI built what agencies quoted at $450k to $4M. In five weeks.
We install the same working systems in your business.
production fleet · as of July 2026
agents registered: 41 · live in production: 9
runs completed: 5,450 · failures: 0 · window: 13 days
every system we sell is one we already operate
01 · Services
Four products. Real prices. Full handover.
S1 AI Operations Audit
$1,900 fixedA $1,900 fixed-price AI operations audit: automation map, ranked build list with effort and ROI, 90-day roadmap. Refund if we find nothing worth building.
10 working days
S2 Content Engine Install
$4,900 setupWe install the daily SEO and GEO article pipeline we run for our own brands into your CMS: generation, QA gate, schema, llms.txt. $4,900 setup, optional $990/mo run. You own it at handover.
2 to 3 weeks
S3 AI Workforce Sprint
from $9,500A fixed-scope build sprint: one working agent or internal app shipped to your own GitHub, Supabase, and Netlify, with auth, docs, and a recorded handover. From $9,500.
4 to 6 weeks
S4 Fractional AI Officer
$2,900/moFractional AI officer retainer: AI roadmap ownership, one new automation shipped every month, monitoring, and a weekly written brief. $2,900/mo, cancel monthly, no calls.
ongoing, async
Something else in mind? Custom work gets a written fixed-price proposal. Describe it at /start.
02 · How it works
Three steps, all of them written
step 1
You describe the work
One structured form at /start. What you want automated, in plain language. No call gets scheduled.
step 2
We scope and build on your accounts
A written fixed-price scope, then the build lands in your own GitHub, Supabase, and hosting. A written brief every week.
step 3
Handover, with receipts
Docs, a recorded walkthrough, and written support. Revoke our access after; everything keeps running.
The full operating agreement is on the method page.
03 · Proof
Built for our own companies first
No invented clients. No borrowed logos. These are systems we built for our own group and run in production today.
4.87x → 0.4
The ad platform claimed 4.87x. Our ledger said 0.33 to 0.50. The truth engine that settled it.
363 products
A B2B catalogue that publishes daily and started turning strangers into quality leads within its first month.
5,450 / 0
Runs completed vs runs failed: a 41-agent workforce across three companies, measured over 13 days, as of July 2026.
FAQ
Questions, answered
What does an AI implementation studio actually do?
We build working AI systems inside your business: an audit that maps what to automate, a content engine that publishes daily, a custom agent or internal app on your own infrastructure, or ongoing AI ownership as a monthly retainer. Fixed prices, published on the pricing page.
How is this different from an AI automation agency?
Three ways: we publish real fixed prices, we work only in writing with no meetings, and every case study is a system we built and run for our own companies. We hand over everything; you own the code, the repos, and the data.
Do you take custom projects outside the four packages?
Yes. Describe what you want automated or built at /start and you get a written fixed-price proposal within one business day. Complex scopes may need the $1,900 audit first, credited against the build if you proceed.
Why no meetings?
Every hour we would spend on your call is an hour of build time you paid for. You get a written brief every week instead, and a written reply to any question within one business day.
Who is behind this?
Two operators who run a three-company group on a self-built AI operations layer: 41 registered agents, 5,450 runs with zero failures over 13 days, as of July 2026. This studio installs the same working systems for clients.
Tell us what you want automated
Describe the work in writing. You get a written reply within one business day: a fixed-price proposal, a scoping question, or an honest referral out.
Start at /start▸ written reply within one business day · no call scheduled, ever
Doesn't fit a package? Tell us what you need anyway.