This article was originally published on BuildZn.
Everyone's hyped about GPT-4o and Opus. Amazing for chat, sure. But when my AI agents fail reasoning tasks on the daily, the hype feels like hot air. I've spent weeks debugging weird logical breakdowns in multi-step AI flows, and it’s not just "hallucinations." Something else is going on.
Why AI Agents Fail Reasoning Tasks: My Gut Feeling
I’ve shipped 20+ apps, built FarahGPT (5,100+ users), a complex AI gold trading system with multi-agent architecture, and even a 9-agent YouTube automation pipeline. I’m pushing these LLMs hard, building systems that demand consistent, multi-step logical reasoning. And lately, both GPT-4o and Claude Opus have been stumbling in ways that are deeply frustrating.
It’s not about factual errors. They usually get the facts right. The problem is when they need to reason through those facts, combine multiple pieces of information, and produce a coherent, logically sound output. I'm seeing:
