POLARITY LAB
Looking around? Tell us what you find or what is missing.
The thesis
Every platform you use has a model of you. That model was built from your engagement history. Engagement history is not you. The gap between the model and the person is measurable.
We measure it.
The mechanism
Platforms are environments. Every environment optimized for engagement metrics reaches a second threshold. Below it the environment serves the person it was built for. Beyond it, optimization for the environment's own metrics begins to suppress the capacity it was built to develop.
Music recommendation learns your engagement, not your taste. Clinical AI learns your workflow, not your judgment. Local discovery learns what is popular, not what exists. Interview formats learn what gets clicks, not what people actually are.
The work
Integrity Delta
Clinical AI produces gaps that standard workflow review does not surface. IΔ measures them.
Polarity GPS
Recommendation surfaces what is popular nearby, not what exists. Polarity GPS is being built to measure that gap.
WAXFEED
Recommendation platforms build a model of the listener from engagement history. That model drifts from who the person actually is. WAXFEED is the counter-environment designed to surface what it has suppressed.
AVDP
Conventional interview formats suppress authentic expression. AVDP removes the production conditions that cause suppression and tests whether more of the person comes through.
Blueno
An AI therapy bridge. Clients chat between sessions; therapists pick up what came up before the next visit.
Cosmos
A memory layer that lives at your account instead of inside any one assistant. The same graph backs Blueno, WaxFeed, PolarityGPS, and any MCP-capable client you connect.
