Explorer ModeSelf-paced
Framework Explorer
Interactive exploration of the Verifiability Framework, with real municipal examples and connections to source research.
The Verifiability Framework places municipal tasks on a spectrum from fully verifiable (safe to automate) to fundamentally non-verifiable (require human judgment). Explore where different tasks fall and why.
The Verifiability Spectrum
AUTOMATE
Verifiable
AUGMENT
Edge Cases
HUMAN-LED
Non-Verifiable
Automate
Augment
Human-Led
Click any marker to explore the case study
The Core Principle
The further right on the spectrum, the more a task involves weighing competing community values rather than optimizing for a clear objective. These are democratic questions, not technical ones. AI can help research and stress-test options, but humans accountable to constituents must make the final call.