Turn AI chaos into a system that works for you.
A 6-week program for professionals and founders already using AI — but missing rules, rhythm, and closure. You build your AI Workflow v1.0.
If you're looking for a tool course or yet another prompt list — this isn't it. If you want a work system with AI — read on.
AI OS: from chaos to control
AI work system: rules + rhythm + closing. 90 min, concrete, no tool hype.
May 13, 2026, 7:00 PM CET (online)
AI Personal OS
AI Personal OS — A 6-week program that turns chaotic AI usage into a repeatable work system. Rules, rhythm, closure — no tool hype.
Who it's for
- Professionals (PM / manager / consultant / freelancer / founder-to-be) already using AI
- People who feel AI adds complexity: more decisions, more iterations, less calm
- High-responsibility individuals who want a predictable process, not "hacks"
- People who want a stable workflow in 6 weeks and stop starting from scratch
- Those who want to work with AI consistently (rhythms, rules, closure), not ad hoc
Sound familiar?
- You use AI, but differently every time - no repeatability
- You're in "try mode": generate, revise, compare... and never finish
- AI gives potential, but increases the number of decisions instead of reducing them
- You lack fixed rules like: "this is how I start", "this is how I finish", "this is where AI enters"
- You lack a weekly rhythm: AI enters everywhere - chaos grows
- You feel you have the knowledge, but lack of system makes it a lottery
What you get
- AI Workflow v1.0 (your artifact): documented system for working with AI
- Decision Rules: set of operational rules (decision reduction)
- Default Path: default starting path for key tasks (end of "where do I start?")
- Iteration Rules: iteration and closure rules ("max 2 iterations", "good enough" criteria)
- Weekly Rhythm: fixed weekly AI slots (process, not chance)
- Freeze Protocol: how to "freeze" v1.0 so you don't return to chaos
- Template Pack: ready-made templates to build your AI Workflow v1.0
This is
- An AI operating system (process + rhythm + rules), not knowledge
- Building an artifact: AI Workflow v1.0 (a real document, not a "completed course")
- Decision reduction as control KPI
- Stabilizing work with AI: less chaos, more predictability
- Implementation in your work week, not "I'll watch it someday"
This is not
- Tool course / "what's new" overview
- Prompt course / prompt engineering as the goal
- "AI brainstorming" without process and closure
- Community, Slack, accountability pressure and yet another place to be
- Theory and inspiration instead of implementation
How we start (6 weeks, self-paced + checkpoints)
- 1Chaos diagnosis: where AI multiplies decisions and iterations
- 2Operational rules: what you always do (default path + iteration rules)
- 3Weekly process: where AI has a fixed place in your week (slots)
- 4Stabilization: remove unnecessary decisions and close loops
- 5Freeze v1.0: finalize your document and system maintenance
Behind the scenes: recorded materials + implementation tasks
After 6 weeks you get
- AI Workflow v1.0 (your documented system)
- Rule set: start/iterate/stop (decision reduction)
- Weekly Rhythm: fixed AI slots (process, not chance)
- "Good enough" rules (end of endless polishing)
- Maintenance protocol (so the system works after the program)
Freeze Guarantee
If after 6 weeks you don't have a ready, documented AI Workflow v1.0 - you join the next edition for free.
Spots in the founding edition are limited.
Looking for an enterprise solution?
I help companies move from AI pilots to production: governance, ownership, delivery. PILOT 30 days → CORE 8–12 weeks → SCALE.
- AI Operating Model: ownership, roles, rhythm, KPIs
- Governance: risk, compliance, security, standards
- Initiative portfolio: priorities + test/scale/stop
- POC → product → scale plan with continuation artifacts
About
I combine AI strategy with execution.
Experience
I work at the intersection of digital products, organizational transformation, and team building. I combine strategic perspective with delivery practice: from concept, through implementation, to adoption and scale. My experience spans organizations from small teams to ~10,000 people, 10+ AI products shipped to production, dozens of POCs consciously stopped or transformed, and collaboration with executive teams and product, tech, sales, and operations leaders.
3 hackathons around AI with selected solutions already on production usage.
Ongoing collaboration
Other organizations
I speak publicly - sharing experience in AI strategy and execution at conferences and within organizations. My talks →