[remmargorp64]

What if you built a scoring system for re-usable action sequences that are stored in a database, and then have the LLM generate alternate solutions and grade them according to their performance?

An action sequence of steps could be graded according to whether it was successful, it’s speed, efficiency, cleverness, cost, etc.

You could even introduce human feedback into the process, and pay people for proposing successful and efficient action sequences.

All action sequences would be indexed and the AI agent would be able to query the database to find effective action sequences to chain together.

The more money you throw at generating, iterating, and evolving various action sequences stored in your database, the smarter and more effective your AI agent becomes.