AI that runs the work.
Not another demo.
I'm Guntis. I build AI systems inside your own accounts, and nothing acts without your yes.
May end with: “don't build this.”
~600
companies consulted
500+
AI workflows and agents built
16 yrs
in IT and startups, ex-Accenture
Since 2023
in business context engineering, before it had a name
Already running.
Systems I've built. Watch them run.
190,599
Excel formulas replaced, checked to the cent.
AlphaLane, since Sep 2026
6,500+
pages live, always current.
Sports data hub
1,052
merged pull requests, every release approved by a person.
One product, as of 22 Oct 2026
Built for you, or ready to adjust.
Custom AI system
Designed around one workflow of yours: agents, automations, internal tools.
Most from €10k
Describe the work →Ready to adjust
Four systems already running at clients, fitted to your accounts. Faster and cheaper than custom.
From €5k
See the four →
After launch, I can keep running and improving it, month by month, if you want.
Four systems, ready to adjust.
Tasklane
Tasks in WhatsApp
from €10k
Live with a field team since Oct 2026
Budget & cashflow
Invoices on the job
€10k
Delivered to a steel fabricator
LEVERAGE AI
A chief of staff, on your computer
€5k · 3 daysor €25k · 2 weeks
One installation running
Delivery Desk
Your repo ships
€10k
1,052 PRs merged on one product
How it works.
1
Scope
One workflow, one number. The answer can be: don't build this.
2
Build in your accounts
Your cloud, your code. The code is in your repo from week one.
3
Hand over and run
It acts only after a person says yes. Your team runs it, or I keep improving it.
Your accounts. Your code. No seats.
No subscription. You pay for your own services.
- The code is in your repo from week one. Stop any day, keep everything.
You talk to the person who builds it.
Guntis Coders
Founder, THEO
16+ years in IT and startups, ex-Accenture. Since then, AI systems for companies across Europe.
Working on business context engineering since 2023, before most people had a name for it: turning what a company knows into a structure AI can actually use. I open-sourced the method as CLEAR Context OS.
No account managers, no hand-offs. The person on the call is the person who builds it.
“In one evening, Guntis set up my entire AI environment - Claude, custom skills, agents. I already have an agent analyzing project offers and saving me hours. Now I experiment and build with AI daily.”
Dmitrijs Romanovs · CEO, Nordic Montage Group “Under Guntis's leadership, the regional unit grew by 250%. He is a result-oriented, visionary leader who combines strategic thinking with relentless execution. I would recommend him without hesitation for any high-stakes initiative.”
Kristaps Banga · EMEA Strategy Lead
Fair questions.
Our data is a mess.
Most companies' is. The first step is turning what you have into a structure AI can use. That's business context engineering, and it's where I start.
We tried AI. It didn't stick.
Usually that was a tool without a workflow. I scope one workflow with one number, and I'll tell you if it isn't worth building.
How much of our time does it take?
A 30-minute call, then short reviews while I build. You approve the scope before anything is built.
Who maintains it?
It runs in your accounts and the code is in your repo from week one, so your team can. Or I keep running it with you.
You're one person. Isn't that a risk?
Everything lives in your accounts and your repo from week one. Stop any day, keep everything. And you're never handed to a junior.
November: 1 of 2 open
Thirty minutes.
You describe the work. I say build, don't, or not yet.
May end with: “don't build this.”