Tips for building AI agents
Anthropic’s Barry Zhang (Applied AI), Erik (Research), and Alex Albert (Claude Relations) discuss the potential of AI agents, common pitfalls to avoid, and how to prepare for the evolving landscape. Read more advice on building agents: https://www.anthropic.com/research/bu... 00:00 Introduction 00:26 Defining AI agents and workflows 02:55 Anatomy of an agent prompt 04:29 Behind the scenes stories 07:29 Why write about agents now 08:53 Overhyped and underhyped aspects of agents 09:57 Identifying useful applications of agents 10:47 Coding agents: Potential and challenges 12:47 The future of agents in 2025 16:26 Advice for developers exploring agents
▶︎
How AI agents & Claude skills work (Clearly Explained)
▶︎
Agentic AI Engineering: Complete 4-Hour Workshop feat. MCP, CrewAI and OpenAI Agents SDK
▶︎
Tools for wrangling marketing data, with JD Prater
▶︎
Full Walkthrough: Workflow for AI Coding — Matt Pocock
▶︎
Andrej Karpathy: From Vibe Coding to Agentic Engineering w/ Stephanie Zhan
▶︎
AI prompt engineering: A deep dive
▶︎
The Model Context Protocol (MCP)
▶︎
AI Agents Full Course 2026: Master Agentic AI (2 Hours)
▶︎
AI Agents for Beginners – Part 1 (Free Labs)
▶︎
Vertical AI Agents Could Be 10X Bigger Than SaaS
▶︎
Interpretability: Understanding how AI models think
▶︎
Anthropic Co-founder: Building Claude Code, Lessons From GPT-3 & LLM System Design
▶︎
Building more effective AI agents
▶︎
State-Of-The-Art Prompting For AI Agents
▶︎
Josh Devon helped scale Flashpoint to 100M - Now he’s securing AI agents with Sondera
▶︎
Don't learn AI Agents without Learning these Fundamentals
▶︎
Why Vertical LLM Agents Are The New $1 Billion SaaS Opportunities
▶︎
Building with MCP and the Claude API
▶︎
Building AI Agents that actually work (Full Course)
▶︎