Public teardown
Put a real decision under useful pressure.
Selected submissions become concise public analyses: what is right, what is missing, where the hidden risk sits, and the smartest next move. Useful for founders and leaders weighing AI investments, data programs, new platforms, products, or vendors.
5 questions
Enough context to locate the fragile assumption.
1 clear next move
An actionable recommendation, not a 47-page assessment.