What AI Agents Are Bad At (And Why) скачать в хорошем качестве

What AI Agents Are Bad At (And Why)

AI agents look autonomous and powerful—but in practice, they’re surprisingly fragile. In this video, we break down what AI agents are bad at, why those failures keep showing up in real systems, and why the root cause is usually engineering—not intelligence. You’ll see how planning drift, tool misuse, memory limits, and missing guardrails turn impressive demos into brittle automation. Rather than focusing on hype or tools, we look at how agentic systems actually behave in production: Why agents lose the thread in long-running tasks How small tool mismatches cascade into major failures Why bigger models and larger context windows don’t magically fix reliability And which guardrails—validation, constraints, and human oversight—actually work If you’re building or evaluating AI agents, this video will help you understand where they struggle today and how to design systems that fail less often. This video is part of the Enginerds Fundamentals series—clear, calm explanations of the technologies shaping modern software and systems. CHAPTERS 0:00 – Introduction 1:26 – Agents Lack True Understanding 2:57 – The Surprising Power of the Loop 4:25 – Lost Assumptions in Long Tasks 5:55 – Unverified Automation Risks 7:25 – Why Schema Validation Matters 8:55 – Schema Validation for Tools 10:25 – Limits of Context Windows 11:54 – From Demo to Real Systems 13:22 – Guardrails for Communication and Payments 14:50 – Building Reliable AI Systems --- Website: https://www.enginerds.com X: https://x.com/EnginerdsNews