What makes workflows different from agents? A good introduction and explanation from Anthropic, and a case for keeping things simple.
Summary
- Simplicity trumps complexity: Successful LLM agents use composable patterns, not complex frameworks.
- Transparency and testability are key: Agents should clearly show their planning steps and have a well-crafted agent-computer interface.
- Start simple, add complexity only when needed: Optimize single-call LLM performance before building multi-step workflows or autonomous agents.
