Building effective AI agents

 

Anthropic’s Building Effective Agents distills real-world insights from dozens of teams crafting LLM-driven agentic systems across industries, showing that simple, composable patterns outperform complex frameworks.
The article clearly distinguishes between predictable workflows and autonomous agents that dynamically plan, reason, and use tools to solve open-ended problems.
It guides developers to start with straightforward LLM API patterns, escalating complexity only when necessary, and to choose the right workflow patterns for different tasks.
Readers get practical architecture patterns like prompt chaining, routing, parallelization, orchestration, and evaluator-optimizer loops for building robust agentic systems.
For anyone building production-ready AI systems, Anthropic’s piece offers both foundational principles and actionable best practices for effective, maintainable agents.

Read more: https://www.anthropic.com/engineering/building-effective-agents