AI

For the first time, it’s possible to provide a better product experience for a small number of users than for millions of users. But this isn’t an obstacle—it’s a big opportunity for startups. Big companies with millions of users literally can’t compete with you because there isn’t enough compute available in the world to provide a cutting-edge... See more

As a startup, you can give each of your users a Ferrari-level product experience. Use the most expensive, cutting-edge models. Don’t worry about optimizing for cost. If doing five additional API calls (server requests to your LLM provider of choice) makes the product experience better, go for it. It might be expensive on a per-user basis, but you... See more

The only answer is to go narrow—really narrow. Pick a very specific use case and become exceptional at it. The cardinal rule of startups—building something people want—remains consistent in AI, but the bar is higher.

Down the line, the best founders will likely not be comparing foundation model capabilities, but rather the “build versus buy” decision to create scaffolding around large models (open or closed) for specific needs. The ability to point a model at a specific use case will become the most important problem in the value chain of AI, so foundation... See more

Sora currently works best as a complement to other AI content generation tools: Spin up a scene on Midjourney, generate a voice on ElevenLabs, and produce your video through Sora.

I want AI to do my laundry and dishes so that I can do art and writing, not for AI to do my art and writing so that I can do my laundry and dishes.

Instead of treating AI models as something that just follows instructions, we should treat them like interns on their first day. An intern is smart but lacks context on what to do and how to do it. The key to an intern's success is to give them the context they need to think like you.

That's how we approach prompting at Granola now. We provide the... See more

Building in generative AI is like running on a treadmill while traditional tech moves at walking speed. This speed impacts everything from the technical problems you tackle to your timeline for reaching scale. While this acceleration should change your strategy, it doesn’t change the fundamentals of building a good product. You need to build... See more