No magic. No hype. Four specialist tracks for leaders, document professionals, developers, and governance — all built on one principle: you own every decision.
AI is only as good as what you bring to it. Your years in your domain — that's what makes AI output worth anything. We don't train AI use. We train how to combine your expertise with AI systematically.
Why accountability matters →Every organization already has people experimenting with AI. The gap isn't access to tools — it's working with AI consistently, across a team, in a way that actually holds up. That's what changes when organizations train properly.
Vibe coding vs orchestration →AI will always give you an answer. It won't tell you if that answer is right for your situation. Across all four tracks, the non-negotiable principle is the same: your people stay in control of every choice.
The human-in-the-loop approach →From teams we've trained — not theory, not projections.
Development teams ship real code to production during training. Not demos, not sandboxes — their actual codebase, their actual deadlines.
Techniques you can use immediately. Working code from the workshop — your code, not demos.
Senior developers with deep domain knowledge see the biggest gains. The more you know about your system, the more AI amplifies your output.
Measurable productivity improvements and fewer errors through systematic validation.
Teams are consistently surprised by how little AI actually costs when used correctly. The investment is in people, not tokens.
Honest understanding of what AI can and can't do. A process you own, not a dependency you rent.
We transformed a development department in India over four months. Half fully adopted the AI workflow. Half didn't.
AI practices embedded in daily work. Continuous improvement, not consultant dependency.
Own every line
You own every line of code. AI is the tool, you're the professional. No blame-shifting, no hiding behind automation.
The no shortcuts principle →Understand everything
Every line understood. Every change validated. You remain in control because you're personally responsible for what ships.
Vibe coding vs orchestration →Validate systematically
Based on real enterprise feedback: testing is the #1 concern. Comprehensive testing strategies are built into every technical track.
Developer accountability →Not theory
Not theory. We're actively building with these methods and training organizations right now. Methods refined through real implementations, not conference talks.
Beyond prototypes →What gets left out of the sales pitch.
Free tier gives you about 3 A4 pages of context. That's why your AI 'forgets' mid-conversation. The million-token marketing? Mostly irrelevant for real work.
Read the full analysis →Testing costs almost nothing. Production costs 10-100x more. Nobody mentions this until you've committed. We show you the real numbers upfront.
See real numbers →Where does your data go when you use AI? Who trains on it? Multi-component AI creates complex security surfaces. Your responsibility, not the vendor's.
Understand the risks →From boardroom understanding to hands-on building
Executives, board members, decision makers
2-8 hours
What does AI actually cost? Where does your data go? What can't it do? We give you facts, not sales pitches. You'll leave knowing what questions to ask.
Consultants, researchers, legal professionals
4-6 hours
The richest knowledge in your organization lives in conversations — meetings, client sessions, workshops. Most of it disappears within an hour. Track 2 trains professionals to capture, structure, and extract that knowledge systematically: from recording to structured deliverable the same day.
Development teams, technical leads
8 hours
The core track. Three approaches to AI development — vibe coding, structured balance, hardcore planning — give your team a methodology that fits real work. Voice-to-structure turns conversations into specifications and documentation. Context window mastery and confidence scoring turn ideas into production code. All six pillars in practice.
Senior developers, CTOs, architects
7-9 hours
Testing strategies that actually work with AI. Legacy modernization. SaaS vs on-prem decisions, architecture impact, legal risk. Governance frameworks your organization can live with.
Genomlysning — one day, one structured output
You have a strategy meeting, a leadership offsite, or a situation where you know something is not working but cannot name exactly what. We facilitate the day, record the conversation, and deliver a structured document before everyone goes home. No preset agenda. No generic recommendations. Your organization, your words, made useful.
Two working implementations of voice-to-structured-data. Open source, used in production, available on GitHub.
Meeting recordings processed into documentation with decisions, action items, and searchable history. The transcript skill handles extraction — you direct what matters.
Voice reflections processed into five connected documents that accumulate over time. The goals skill detects what you missed and asks you to complete it.
We'll tell you what will work and what won't — before you commit to anything.