Building Reliable Browser Agents in Healthcare

This talk shares lessons from building a self-recovering browser agent for regulated healthcare workflows, where we moved from a single-agent prototype to a multi-step system with optimized inputs, memory, evals, sandboxes, and deterministic code where possible. I’ll walk through how we used production failures to build a faster evaluation and prompt optimization loop, and when to move beyond harness engineering to increasing model capability via post-training.