Preserving momentum
to keep readers in the flow.
To address a knowledge debt in ongoing narratives, we started experimenting with a contextual AI widget designed to bridge information gaps. Our research found that users often drop off when they lack context. The friction of searching for background info kills their momentum. By putting AI-generated context directly into the text, we answer questions before they lead to a bounce. This keeps the reading experience seamless and ensures users have everything they need to follow along from start to finish.
From passive skimming
to intentional deep dives.
To help direct-traffic users navigate our long-form content, we’re experimenting with an automated TL;DR layer. This widget provides instant value but intentionally withholds the "how" and "why" to drive article completion. Our AI-driven, tabbed interface helps move users from shallow skimming to active reading, helping us build long-term habits and boost overall session duration.
Streamlining the search experience.
We are working on consolidating all search-related tools into a single hub to better serve users focused on active discovery. Our data shows that users who engage with AI search generate an average of two additional page views and one extra minute of session time per visit. By combining AI and traditional search patterns, we help users find specific content faster while encouraging them to explore our archives more deeply.
