Live demos involving AI can be unpredictable, as they often yield different results each time.

A surprising number of AI-native products fail to expose the necessary application primitives to the models, limiting their effectiveness.

The AI industry suffers from a lack of rigorous evaluations and tests that demonstrate the frontier of model capabilities.

There's a lot of excitement around AI agents, but many people are unsure of their practical applications, often trying to apply them to problems that simpler solutions could address.

Demos showcasing the product's capabilities are crucial, especially for AI technologies. They can create excitement and help users understand the value of the product.

Many startups are focusing on selling tools for AI applications, but the reality is that many potential customers are still figuring out how to effectively use AI, leading to a disconnect between product offerings and actual market needs.

Many potential AI projects exist, but outside of consumer software, few have the scale to apply a single piece of software to a billion users, making it challenging to generate similar financial value.

There's a distinction between using AI effectively to enhance products and merely claiming to use AI to attract investment without real benefits to customers.

Many people underestimate the magnitude of custom AI applications that are going to emerge in the near future.