# Cohort

- **Event:** [Google I/O Hackathon](https://cerebralvalley.ai/e/google-io-hackathon)
- **When:** Sat, May 23 at 9:00 AM – 10:00 PM (PDT)
- **Where:** Shack15, San Francisco, CA
- **Team:** [Benjamin Merchin](https://cerebralvalley.ai/u/BenjaminTop)
- **GitHub:** https://github.com/benjaminmerchin/Cohort/
- **Demo video:** https://www.loom.com/share/31d7e1c262ab467e9192ddb4a1f301e0
- **Gallery:** https://cerebralvalley.ai/e/google-io-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/google-io-hackathon/hackathon/gallery/84

Cohort runs a cohort of distinct AI user personas — a confused First-Timer, an
  impatient Power User, and an Accessibility user — in parallel against any website.
  Each persona autonomously browses, narrates in character, and logs the friction they
   hit. A principal agent then reconciles their conflicting feedback into one
  prioritized, segment-aware report: ranked fixes, explicit tradeoffs where personas
  disagreed, and segments at risk of abandoning.
  
  The problem: a single automated test gives one perspective. A site can score
  perfectly for power users while silently losing first-timers and being unusable on a
   screen reader. Cohort makes those tradeoffs visible by running many simultaneous
  perspectives and synthesizing the conflicts.

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Markdown version of https://cerebralvalley.ai/e/google-io-hackathon/hackathon/gallery/84. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt