Building more effective AI agents
Anthropic’s Alex Albert (Claude Relations) sits down with Erik Schluntz (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 a…
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Chapters (14)
Introductions
0:35
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 com
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,
17:15
The future of agents: coding, computer use, and beyond
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Quick tips for Claude: Long context file uploads
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Inside our first Anthropic Hackathon, San Francisco
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Long inputs, multi-step output with Claude
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Coding with Claude
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Behind the prompt: Prompting tips for Claude.ai
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Robin AI, powered by Claude
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Claude 3 Opus as an economic analyst
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Claude 3 Sonnet as a language learning partner
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Claude 3 Haiku turns thousands of physical documents into structured data
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Claude 3 Haiku for instant customer service
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Claude 3 Haiku for fast document analysis
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Tool use with the Claude 3 model family
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Coming soon to the Team plan on Claude.ai
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Introducing the Claude iOS app
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Claude is now available in Europe
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What is interpretability?
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What should an AI's personality be?
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Scaling interpretability
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Claude 3.5 Sonnet for sparking creativity
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Claude 3.5 Sonnet for vision
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Claude 3.5 Sonnet as a writing partner
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Claude 3.5 Sonnet for agentic coding
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Shareable Projects in Claude
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Evaluate prompts in the Anthropic Console
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Shareable Artifacts in Claude
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How we built Artifacts with Claude
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Wedia advances digital asset management with Claude
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AI prompt engineering: A deep dive
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AI Prompt Engineering 101: Explained
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Ancient Wisdom, Modern AI?
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AI's Greatest Challenge: You?
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AI Prompts That Drive Growth
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Tips For Better Results With AI
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AI, policy, and the weird sci-fi future with Anthropic’s Jack Clark
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European Parliament expands access to their archives with Claude in Amazon Bedrock
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Claude | Computer use for automating operations
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Claude | Computer use for orchestrating tasks
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Claude | Computer use for coding
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Asana supercharges work management with Claude
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What do people use AI models for?
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Alignment faking in large language models
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Building Anthropic | A conversation with our co-founders
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How difficult is AI alignment? | Anthropic Research Salon
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Tips for building AI agents
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Claude 3.7 Sonnet with extended thinking
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Introducing Claude Code
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Advice For Building AI Agents
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The Two Most Useful Applications of AI Agents
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Defending against AI jailbreaks
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The Most Common Mistake People Make When Building AI Agents
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Controlling powerful AI
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How Intercom is redefining customer support with Claude
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Tracing the thoughts of a large language model
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Introducing Claude for Education
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Could AI models be conscious?
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Lessons on AI agents from Claude Plays Pokemon
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The Societal Impacts of AI
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What Does AI Mean for the Future of Work?
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Understanding AI Agents...Through Pokémon
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What Pokémon Teaches Us About Building With AI
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DeepCamp AI