Bring a real decision. Invite AI advisors built on proven ways of thinking. Watch them argue it out — then leave with a decision card you can actually execute.
See how it works ↓Ask one AI and you get one confident narrative — usually shaped by how you framed the question.
Growth, finance, product and execution see the same plan differently. The disagreements are where the risk hides.
A long transcript still leaves you to extract what to do, who owns it, and when to stop.
State what you're deciding, the goal, budget and deadline. Upload the documents that matter.
The moderator recommends 2–3 thinking styles that fit the domain, plus execution roles to run the numbers.
Before anyone opines, the moderator lists known facts, missing data and hidden assumptions — and asks you the questions that matter most.
Every advisor answers in isolation. All answers are revealed at once, so nobody anchors on the first opinion.
The moderator picks the biggest dispute, calls on the right people, assigns a devil's advocate, and sends a researcher to verify facts on the web.
Recommendation, evidence, trade-offs, open disagreements, owners, stop conditions and a review date.
Each thinking advisor is distilled from first-hand material — books, letters, talks and interviews — into principles, real decision cases, the questions they always ask, and their known blind spots.
Strips a problem to physics and cost. Asks which requirements are real and what can be deleted.
Judges by taste and subtraction. Asks what to say no to.
Moats, cash flow, opportunity cost. Asks whether this is worth owning for ten years.
Asks how this will fail, then avoids it. Hunts for incentives and misjudgment.
Data-driven products, talent density, global scale.
Tiny autonomous teams, killing projects early, global launches.
Funnels, retention, CAC/LTV — and the cheapest experiment to test it.
Investment, payback, worst case, runway. No made-up numbers.
Who, dependencies, critical path, where it will get stuck.
Each advisor knows its circle of competence: outside it, it says so, and its view is weighted down. All advisors are AI simulations based on public material — not affiliated with, endorsed by, or speaking for any real person.
First-round answers are hidden until everyone has spoken.
A live fact ledger tracks facts, assumptions, gaps and disputes. Claims cite a source or get labelled as assumptions.
Unresolved disagreements stay on the card instead of being averaged away.
When key data is missing, you get a plan to find out — not a confident guess.
Every decision ships with observable stop conditions and a review date. Reviews score which advisors were right.
Each meeting runs under a hard cost cap and converges automatically before it.
Run a 2-week validation before committing: pull 6 months of baseline traffic, set a control group, define the scale-up threshold.
| Pull baseline & trend | Data lead | 1 week |
| Write go / no-go thresholds | Decision owner | 1 week |
| Run controlled test | Growth lead | 4 weeks |
Search traffic down for 6 consecutive months → pause and re-evaluate.
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