Fine Tuning LLM Models – Generative AI Course

Three Anthropic engineers walking through the most common pitfalls they see — agents that don't know when to stop, over-prompting in the system prompt instead of fixing the environment, the cost of multi-agent designs.

The same kind of build, but in CrewAI's role-goal-backstory style — agents as team members, tasks as deliverables, the framework hiding the execution loop.

Lance Martin's framework — write, select, compress, isolate — with concrete examples of when to summarise an action history, when to offload state to files, and when to spin up sub-agents purely to protect the parent's.