Day 1
19
Jan
Day 2
20
Jan
Day 3
21
Jan
Production-ready workshop
AI projects beyond
human thinking
Learn to think with AI in situations where decisions are unclear, risky, or repetitive — and where delegation isn’t possible.
Program
Three days of transformation
One entrepreneurial story runs through all three days — you’ll see how clarity, risk reduction, and repeatability emerge step by step.
Turning unclear problems into workable ones
19
Jan
Turn vague situations, half-formed ideas, and mental overload into structured problems you can safely think about.
- A clean problem representation you can reason about safely
- Intuition converted into explicit constraints
- Clear separation of assumptions vs. facts
- Defined boundaries, non-goals, and unknowns
Most entrepreneurial problems start in a state where action feels urgent, but the real problem is unclear. On Day 1, participants learn to externalize their thinking so messy situations become testable and workable. Using ChatGPT as a cognitive mirror, we avoid premature solutions and focus on:
- Turning intuition into explicit constraints
- Separating assumptions from facts
- Defining boundaries, non-goals, and unknowns
- Creating a decision object you can evaluate later
Participants do not solve the problem yet. Instead, they leave with a clean problem statement — something you can safely think about without confusion and noise. This day helps when everything feels important, but nothing feels clear.
Reducing risk before action
20
Jan
Systematically pressure-test ideas and plans before investing time, money, or reputation.
- Ideas tested under pressure via adversarial thinking
- Hidden assumptions identified and challenged
- Single points of failure surfaced
- Clear rejection criteria and decision checkpoints
Day 2 starts with the structured problem from Day 1 and adds pressure. Participants learn to use AI not as cheerleading, but as a critical opponent. We apply adversarial thinking to the same entrepreneurial story:
- Challenging hidden assumptions
- Surfacing single points of failure
- Running counterfactual and failure simulations
- Defining rejection criteria and decision checkpoints
The goal is not to prove an idea right, but to see whether it survives honest pressure. Some ideas get rebuilt. Others get rejected early — before they become expensive mistakes. This day helps when an idea feels promising but risky, and agreement comes too easily.
Repeatable decision-making processes
21
Jan
Turn one-off thinking into repeatable decision processes that AI can run under your rules.
- Repeatable thinking without losing control
- Defined roles: critic, evaluator, synthesizer
- Reasoning loops with explicit exit criteria
- Confidence in when to stop and decide
Entrepreneurs face similar decisions again and again. Day 3 focuses on making good thinking repeatable without losing control. Participants learn to let ChatGPT run structured thinking processes:
- Defining roles (critic, evaluator, synthesizer)
- Running reasoning loops with explicit exit criteria
- Applying self-doubt and uncertainty controls
- Knowing when to stop analyzing and make the call
The same story used on Days 1 and 2 is now processed through a controlled workflow you can reuse for future decisions. This day helps when you want consistency, speed, and confidence — without delegating judgment.
Tools
Cognitive roles of AI
Tools are cognitive functions, not interchangeable assistants
Orchestrator
GPT‑5.2
Hypothesis generation, reasoning loop management, coordination of personas
Logic
Claude
Sanity-checking reasoning chains, finding contradictions
Reality
Gemini
Grounding against real-world patterns, interdisciplinary verification
Memory
Agent layer
Storing canon, versions, decisions. Reproducible states.
“AI governs how we think about tasks — it doesn’t replace experts.”
Ready to think deeper?
Participants leave not with ideas, but with a working architecture of thinking applicable to real business problems.
3 days · Hands-on exercises · A working decision-making framework