AI-generated code,held to production standards.
We are not LLM-powered. We are AI-native. Every part of how we deliver is built around how the model actually works.
- 01Specs in
- 02Context curated
- 03Verified, not vibed
- 04Architected by humans
- 05Hardened to ship
A custom operating system for one operator.
Bookings, intake forms, route planning, invoicing, recurring charges: a non-technical operator running his entire business on software built around his actual workflow, not a SaaS template. Pet-specific memory on every reservation. Post-stay follow-ups triggered by real events, not by human discipline.
- 1 operator
- Built around him, by name
- 7 modules
- Bookings, billing, comms...
- $0 / mo
- No SaaS bill
We run ITzWorking on software we wrote.
Project specs, context bundles, verification dashboards, time-of-flight metrics: the framework lives inside a tool we ship to ourselves first. Notion, Linear, Slack, HubSpot, Drive collapsed into one interface tailored to how we actually deliver.
- 10 → 1
- Tools collapsed
- ~90%
- Of agency operations run on it
- Five pillars
- One dashboard each
Three kinds of agency.
Only one of them ships.
A team of humans.
Talented, expensive, slow. Quality scales with seniority. Output scales with headcount. The unit economics break the moment you need to move fast.
A team of humans plus a chat window.
Copy-paste workflow. The model is a tool, not a teammate. Speed-up is real but capped. The bottleneck is now the human typing into the box.
A delivery system the model is part of.
Specs, context, verification, architecture, hardening: every step designed around how the model actually performs. Senior humans make the bets the model can't.
Our sales process, encoded. Try it.
Describe your project and watch a complete blueprint assemble itself: features, scope, a real price you can shape. That's what AI-native means here: even the way we scope work runs on the framework we sell.
Forge your blueprintOne ladder.
Three rungs.
A CTO session.
Thirty minutes with Julien, prepared. You send the context first, he reads it before the call, and the time goes to your actual problem: architecture, AI strategy, a build you're weighing. You leave with a direction and the notes are yours.
From idea to production.
Full products shipped end-to-end in weeks, not quarters. You bring the brief and the conviction; we run the spec sprint, ship the build, and hand you something live. Stalled codebase? Same door: spec audit first, honest verdict.
Your product, kept alive and evolving.
After the build: one place where your project lives. Tasks, milestones, billing, and a call with Julien one click away. Only available for products we built or rescued; that's what keeps it premium.
Founder-led. On purpose.
ITzWorking is one senior human and the system he encoded. Julien Casse spent a decade shipping production software: fintech in Luxembourg, then co-founder and CTO of kodehyve, scaled from sole developer to a 20+ team. Every engagement here runs on his judgment, applied through AI that carries it.
- 10+ yrsshipping in production
- CTOkodehyve, sole dev to 20+
- ~90%of the agency runs on Nexus, our own OS
Five pillars.
One bar.
The discipline of shipping AI-written code at production quality. Skip any one and the model writes you a demo, not a product.
Read the framework“The right question isn't can AI write this.
It's can the team around it ship it.”
Got something gnarly to ship?
Tight specs, hard deadline, real users. That's where this gets interesting.
or just