🎬 Building AI Agents that actually work (Full Course)
Video Details
Channel: Greg Isenberg URL: https://www.youtube.com/watch?v=eA9Zf2-qYYM Relevance: ⭐⭐⭐⭐
Summary
Complete practical course on building production-ready AI agents. Covers: selecting the right framework (LangGraph vs AutoGen vs CrewAI), tool design, error handling, testing strategies, and deployment. The course emphasises the gap between demo agents (work 95% of the time) and production agents (work 99.9% of the time).
PUMA Relevance
Provides the engineering discipline framework for PUMA’s implementation phase (F2–F4). The ‘99.9% vs 95%’ reliability gap discussion motivates PUMA’s Pydantic AI validation and Wilcoxon statistical testing. The tool design section informs PUMA’s Jira API tool design for Stage 5.