AI startups should avoid building around fleeting model limits
every · x · 2026-08-19
Granola CEO Chris Pedregal argues that traditional "startup physics" are broken in the age of Generative AI, making anticipation of model capabilities a core PM skill.
Key Arguments:
- Rapid Obsolescence: Tech evolves so fast that engineering around a current reasoning limitation for a quarter may become irrelevant with the next model release.
- Avoid Transient Problems: Don't invest resources in problems that will soon vanish natively.
- New Intuition: Founders must distinguish between "real problems" worth solving and "temporary bottlenecks" better left to model evolution.
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