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Building more effective AI agents

Anthropic’s Alex Albert (Claude Relations) sits down with Erik (Multi-Agent Research and co-author of our blog post, Building Effective Agents) for a discussion on the evolution of agents over the past six months, including tips for building multi-agent systems, common multi-agent patterns, and best practices for using skills, MCP servers, and tools.

00:00 – Introductions
00:35 – Training Claude to tackle agentic tasks
1:30 – Making Claude more autonomous with code
3:20 – Using the Claude Agent SDK to build agents
5:00 – Tips for using Agent Skills
6:40 – The evolution of workflows and agents (workflows of agents)
8:30 – The value of simple agent architectures
9:30 – Building multi-agent systems: orchestrators, subagents, and tool calling
11:40 – Training Claude to use subagents
12:25 – Multi-agent use design patterns: parallelization, MapReduce, and test-time compute
13:20 – Coordinating problem solving with tools and subagents
14:15 – Common agent failure modes
15:00 – Best practices for getting started with building agents (context engineering, MCPs, and tools)
17:15 – The future of agents: coding, computer use, and beyond

Read the original blog post:
Learn more about Agent Skills:

元動画はこちら:https://www.youtube.com/watch?v=uhJJgc-0iTQ

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