What problem does it solve?
It helps you determine whether your AI startup’s value is defensible as foundation models improve, by diagnosing where durability actually comes from across Trust, Context, Distribution, Taste, and Liability—rather than relying on “middleware” or generic capabilities.
Core Features & Use Cases
- Five-Verticals structural positioning audit: Scores your current position (0–4) in each vertical and identifies the primary and secondary sources of durability.
- Middleware trap test: Explicitly evaluates whether customers would switch if core functionality were built into a foundation model provider.
- Doubling-down strategy: Produces concrete, prioritized actions to strengthen the primary vertical using the structural logic behind why that vertical endures.
- 10x model robustness assessment: Explains how your business changes when models get 10x better for free and what risks remain.
Use case: if you’re pitching an AI product and suspect your “edge” might collapse as model quality rises, this audit guides you to the vertical(s) that can survive commoditization.
Quick Start
Ask your AI assistant to run the five-verticals positioning audit for your product and answer the three context-gathering batches first.
