Throttle Research Program
Throttle studies aggregate AI usage patterns across opt-in users. The goal is to understand how quota limits, reset windows, provider switching, and usage pacing affect real AI workflows in professional environments.
What we study
Quota depletion patterns, redline frequency, reset behavior, provider mix, usage gaps, and multi-account patterns. Aggregated across opt-in users — never analyzed at the individual level.
What we do not study
Prompt content, chat content, generated code, project substance, identifying information, or company-specific data. The extension does not have access to this material in the first place.
Participation
Opt-in only. Off by default for new accounts. Revocable at any time from the dashboard. Aggregated before any analysis. No individual reporting and no contact based on usage data.
Outputs
Public field notes, benchmark memos, periodic usage reports. All findings are released publicly so they can be cited and challenged on the merits.