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Building effective agents \ Anthropic

anthropic.com · 2,687 words · saved by 7 readers

A post for developers with advice and workflows for building effective AI agents

Over the past year, we've worked with dozens of teams building large language model (LLM) agents across industries. Consistently, the most successful implementations weren't using complex frameworks or specialized libraries. Instead, they were building with simple, composable patterns. In this post, we share what we’ve learned from working with our customers and building agents ourselves, and give practical advice for developers on building effective agents. What are agents? "Agent" can be defined in several ways. Some customers define agents as fully autonomous systems that operate independen

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