CEO Strategy Prover Connector for AI agents.

It acts as a rigorous stress test for your ideas. It forces the AI to move past buzzwords and prove that your strategy has a real moat, a clear execution plan, and a validated market reality.

Yes. It specifically looks for structural advantages like network effects, data flywheels, and switching costs, rather than just accepting "better product" as a valid defense.

Small Thinking is when the AI focuses on adding a single feature or a small product update. This capability catches that and forces the AI to think about the broader ecosystem and infrastructure.

It forces the AI to provide specific TAM figures and cite sources. It also requires the AI to model how your top competitors will realistically respond to your move.

It ensures your strategy is grounded in real-world precedents and includes hard metrics like North Star goals and kill criteria, making it much harder for stakeholders to poke holes in your plan.

Yes. It is designed to catch execution gaps and market disconnects, ensuring that if you pivot, you have a clear metric-driven roadmap and a validated timing thesis.

'Better product' is not a moat. competitors hire engineers too. Structural moats compound: network effects (each user increases value), data flywheels (proprietary data improves with scale), switching costs (leaving is painful), ecosystem gravity (complementary products create lock-in).

Strategy without precedent analysis is guessing with confidence. Name the company, the move, the timeline, the outcome. 'Netflix pivoted to streaming in 2007 when broadband hit 50%'. that is intelligence. 'Others have tried' tells you nothing.

Vision without execution. Define: North Star metric, 90-day milestones, team structure, budget allocation, and kill criteria. 'Execute the strategy' is not a plan. it is a wish.