[mattnewton]

This exists with Claude code / cursor agent, just agent -p or claude -p.

But I think the more powerful thing is “I want a storybook of mamals, one for each letter” -> local LLM that plans to use search for a list of animals, filters them by starting letter and picks one for each, and maybe calls a diffusion model for pictures or fetches Wikipedia to be get context to write a blurb about it.

The key unlock imo is the local LLM recognizing the limits of it’s own ability and completing tool use calls, rather than trying to one shot it with next word completion with its limited parameter count.