video1.0<iframe src="https://www.loom.com/embed/e51356c7ef2a4799adfe94378a934e24" frameborder="0" width="1728" height="1296" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12961728Loomhttps://www.loom.com12961728https://cdn.loom.com/sessions/thumbnails/e51356c7ef2a4799adfe94378a934e24-8df4689755a4f128.gif152.543This Loom explains how Wayfinder reduces redundancy in AI agents that repeatedly re-derive how to navigate websites. It argues that with millions of agents, agents waste tokens and lack a true understanding of how each website’s buttons and workflows work, especially across legacy and enterprise sites. Wayfinder explores each site once to create a knowledge graph and an MD file, then continuously updates it when pages change so agents can reuse the indexed flows via a single API. The speaker also notes that website owners can use the tool to generate automatic MD files to keep agents updated.