Seonglae ChoAI Product
Generative AI is a general-purpose technology, but developers are boxing it into single-purpose tools and experiences.
Tips (AI Service, AI Agent)
- Split into micro-agents with single roles. (Model-based agents still don't perform well due to insufficient data accumulation)
- Keep only frequently used tools. (terminal, Language Server Protocol)
AI Products
The Top 100 Gen AI Consumer Apps - 3rd Edition | Andreessen Horowitz
We crunched the data to find out: Which gen AI apps are people actually using? And which are they returning to, versus dabbling and dropping?
https://a16z.com/100-gen-ai-apps-3/
Notes on how to use LLMs in your product.
Pretty much every company I know is looking for a way to benefit from Large Language Models. Even if their executives don’t see much applicability, their investors likely do, so they’re staring at the blank page nervously trying to come up with an idea. It’s straightforward to make an argument for LLMs improving internal efficiency somehow, but it’s much harder to describe a believable way that LLMs will make your product more useful to your customers.
https://lethain.com/mental-model-for-how-to-use-llms-in-products/
AI Product Productivity
Centaurs and Cyborgs on the Jagged Frontier
I think we have an answer on whether AIs will reshape work....
https://www.oneusefulthing.org/p/centaurs-and-cyborgs-on-the-jagged
The pain points of building a copilot
We investigated the process and pain points of building a copilot.
https://austinhenley.com/blog/copilotpainpoints.html
