ASM
Case Studies
Research and real-world findings on how AI agents interact with the web.
The Token Tax: What Site Complexity Costs Your AI Agent
A controlled experiment comparing Playwright and Charlotte across simple and complex websites. On lightweight sites, traditional automation wins. On content-heavy sites like Wikipedia, LEAN-based browsing consumed 36% fewer input tokens while visiting more pages.
The Agent That Couldn't Find the Map
A frontier AI agent was given a site with three agent discovery mechanisms deployed. It missed every one. What this reveals about the gap between agent capability and agent behavior.
Agent Manifest: An Agent's Perspective
During a site health check, an AI agent encountered an agents.json manifest and documented the experience. One 4KB fetch replaced a multi-request discovery process, revealing the gap between how agents navigate the web today and how it could work.
The One Line of Code That Made an Entire Website Invisible to AI
How a common React dark mode pattern silently destroyed Content Survivability, making an entire Next.js website invisible to AI agents. A real finding from an agent-readiness audit.