Browser Agents Don't Need Better Models. They Need Better Eyes. - Kushan Raj, ARK
Jun 28, 2026 · 4:26
Kushan Raj, a former Founding Engineer at Sarvam AI, argues that browser agents fail not because of weak models but because of poor interfaces: what the model sees, can do, and learns from. He built a browser-agent runtime that replaces raw DOM dumps (20k tokens) with a compact markdown representation (~1,800 tokens), uses stable action handles instead of one-click-per-call, and provides step-by-step feedback instead of pass/fail at the end. In demos, his agent using a cheap model completes multi-step tasks like downloading Aadhaar or booking a trekking site far faster than Claude, which gets stuck or scrolls unnecessarily. Raj plans to open-source the project and offer an API where users supply a URL and intent for execution, aiming to make browser agents faster, cheaper, and more reliable for everyone.
