Living Hive
An experiment in mapping workplace stories into an interactive hive of related experiences, using AI embeddings to reveal recurring patterns in organizational life.
Most workplace problems feel personal when you’re living through them.
Living Hive was an experiment in making those experiences visible as a system.
Built as part of my work with Hive-ly, the project used AI embeddings to map hundreds of workplace stories into an interactive hive of related experiences. Instead of browsing stories one at a time, users could explore clusters that emerged naturally from the data—revealing recurring patterns around management, career transitions, workplace ethics, and organizational dysfunction.
What interested me wasn’t the AI itself. It was the possibility of helping people recognize that many workplace struggles are shared, structural, and surprisingly predictable when viewed collectively.
The project combined AI text analysis, qualitative data analysis, and interactive visualization to turn individual stories into a map of workplace experience.
As an example, I pulled stories from r/work and added them to the Living Hive. You can interact with them here.