Until we have conversational AI agents that behave as 24/7 concierges, we are left with apps and maps to navigate our world. Whether headed across town or across an ocean, it’s difficult to anticipate all of the unknown anxiety elements of a multi-leg journey: time, distance, weather, parking, accessibility, reservations, crowds, costs, and availability.

On one hand, we have wayfinding (mapping and transit) platforms that help predict the where and when of our arrivals. While social media and content platforms inform us about the conditions—the what and how—of our destinations. And we often get caught in the gaps in between.

While agentic AI holds the promise of easily juggling this complexity one day, merging destination guidance and destination context is already happening in some design disciplines. This human-centered approach to anticipate behaviors by making the unknown knowable is coined here as Wayknowing.