Most AI agents don’t actually work. Abhishek Das, co-founder & co-CEO of Yutori, argues that the agent industry has quietly normalized unreliability. Even at 90% accuracy per step, errors compound fast across a 10, 20, or 50-step workflow, and the whole thing breaks.
Backed by Fei-Fei Li and Jeff Dean, Abhishek is pushing back on that normalization. In this conversation, he lays out what it takes to ship agents that actually work on the first try, why taste matters more than code in the LLM era, and what Grad-CAM taught him about building "proof of work" into AI.
00:00 Find the Dopamine of Building
01:37 IIT Roorkee and SDS Labs
03:26 The Last Generation to Use a Browser
05:22 Stop Normalizing Broken Agents – What Separates Real Agents From Demos
07:30 The 80/20 rule
08:42 How to build taste – the weekly dogfooding ritual
09:27 Why Reliability Matters More Than Raw Performance
EO stands for Entrepreneur& Opportunities. As we’re looking to feature more inspiring stories of entrepreneurs all over the world, don’t hesitate to contact us at partner@eoeoeo.net
LinkedIn | @EO STUDIO
X | @eostudi0
