Browser agents for financial data behind logins and anti-bot protection. Covers Ramp, Bill, and Stripe case studies, why cloud browsers get blocked, how Browserbase forked Chromium for reliable data-center use, and how Stagehand's act, extract, and observe primitives keep automations resilient to site changes.
Browserbase and Microsoft Research unveil their Universal Verifier for computer-use and web agents, addressing the critical flaw of inaccurate LLM-as-judge benchmarks that yield "confident liars." They detail its four guiding principles, demonstrating how it drastically cuts false positives and provides high agreement with human evaluations, leading to better training data. An auto-research experiment highlights the synergy between AI and human expertise in developing robust evaluation systems.