The Problem With Most AI Agents (And the Simple Fix) скачать в хорошем качестве

The Problem With Most AI Agents (And the Simple Fix)

Most AI agents fail the moment tasks become complex, not because the models are bad, but because the architecture is wrong. In this video, you’ll learn why many agents get stuck, wander, misuse tools, or behave inconsistently — and how this simple step fixes most of these issues. I’ll break down practical agent design patterns, explain why purely reactive approaches often break down, and show how explicit planning leads to faster execution, lower cost, and more reliable outcomes. You’ll learn: • Why AI agents struggle with complex, multi-step tasks • Why reacting step-by-step isn’t always the right approach • How an explicit planning step improves reliability and performance • The core planning patterns for AI agents • When these patterns work best — and when they don’t By the end, you’ll understand how to design AI agents that think ahead, execute efficiently, and actually complete complex tasks reliably. --- Timestamps 0:00 - The Problem with Current AI Agents 3:18 - Pattern #1: Overview 4:39 - Pattern #1: Example & Limitations 9:30 - Pattern #2: Overview 10:29 - Pattern #2: Example & Limitations 14:09 - Pattern #3: Overview 15:00 - Pattern #3: Example & Limitations 18:46 - Final Thoughts --- Hey, I’m Frazer Dourado 👋 I build AI systems and break down how they really work. Subscribe if you want more deep dives like this. 📅 Need help building AI systems? Book your a free consultation here: https://frazerdourado.com/services?ut... 🌐 More insights on applied AI: https://frazerdourado.com/blog?utm_so... 📩 Subscribe for updates: ‪@frazerdourado‬ #aiagents #aiarchitecture #llmengineering #aisystems #systemdesign #agentdesign #productionai #workflowpatterns