LLMs are great at starting things, not at finishing things.

The human needs to poke them and structure them to do the finishing steps.

"The first 90% is done, now it's time for the remaining 90%."

You get the experience of going really fast without necessarily getting that much closer to the end.

A version of the last-mile problem.

Are agents bad at finishing real-world tasks due to a lack of metis?

We aren't seeing a Cambrian explosion of apps because everyone has apps 90% of done.