AI makes it easy to build. What's hard is knowing what to build—and having the discipline to kill ideas before they waste months of effort.
We operationalize product thinking through specialized AI agents that enforce the hard parts: deep user research, falsification of assumptions, and ruthless simplification. Based on first principles from Jobs, Disney, Musk, Toyota, and Karl Popper.
Most teams skip research or rush to code. We enforce the discipline to think first—using specialized agents that won't let you proceed until assumptions are validated.
Deep user research following Jobs-to-be-Done framework. Observation over surveys. Find the pain that's worth solving.
Product and UX design using Disney's Dreamer-Realist-Critic cycle. Separate creative and critical thinking. Simplify ruthlessly.
Popper Agent challenges every assumption, seeks counter-evidence, finds edge cases. Verdict: PASS / CONDITIONAL / REVISE / REJECT.
Build only after passing falsification. If rejected, loop back to Research or Design. Kill bad ideas before they waste time.
10 North Star principles with falsifiable tests. When AI makes building trivial, these are the disciplines that separate products that succeed from ones that waste time.
"To be truly simple, you have to go really deep." — Steve Jobs. Remove until you can't remove anymore.
People don't buy products—they hire them to do a job. Understand the job, not just the feature request.
What people say and what they do are different. Watch them work. See where they struggle.
"Boil things down to fundamental truths and reason up from there." — Elon Musk. Question every assumption.
Popper: A theory is only scientific if it can be proven wrong. Actively seek counter-evidence before building.
Kaizen from Toyota. Small, continuous improvements compound. Better methodology gets better over time.
Sources: Jobs, Disney, Musk, Toyota, IDEO, Popper, Christensen, Tesla, DORA
We work with teams building AI products who want to move fast without wasting effort on the wrong things. The methodology is tailored for each engagement.
Interested in applying this methodology to your product development?
When AI makes building easy, the temptation is to skip research and start coding. This methodology won't let you proceed until you've done the hard thinking. Most product failures happen because teams skip this step.
Falsification actively seeks counter-evidence before you invest time building. Most teams only look for evidence that supports their idea. This finds the flaws early, when it's cheap to pivot.
Every principle comes from companies that transformed their industries: Apple, Toyota, Disney, IDEO. Not consultant frameworks—actual methodologies that produced the iPhone, Lexus, The Lion King.
The methodology itself improves through use. Better research frameworks, better falsification tests, better design patterns. Small improvements compound into significantly better decision-making.