Key inquiry: “How do you tell a real AI moat from a thin wrapper around someone else’s model?”
You ship: A technical-literacy brief scoring an AI product’s substance, defensibility and risk.
What’s under the hood
- Distinguish model, data, product and moat in an AI startup
- Identify where the real defensibility (or lack of it) sits
Risk lenses
- Assess data, cost, safety and dependency risks
- Ask the questions that separate signal from hype
- Tear down a real AI product and locate its moat.
- Draft the ten questions you’d ask its technical founder.
- Score substance vs hype on a shared rubric.
Assesses a product with support.
Judges defensibility and risk independently.
Produces a sharp brief a partner could act on.