The best setups don’t use huge frameworks or fancy tools. They break tasks into small steps, test them well, and only add more stuff when needed.

A few things I’m trying to follow:

1. Don’t make it too complex. A single LLM with some tools works for most cases.

2. Use workflows like prompt chaining or routing only if they really help.

3. Know what the code is doing under the hood.

4. Spend time designing good tools for the agent.

I’m testing these ideas by building small agent projects. Would love to hear how you all build agents!

Link to Anthropic's Post: https://www.anthropic.com/engineering/building-effective-agents

If you’re curious, I’m sharing the agents here: https://github.com/Arindam200/awesome-ai-apps