This is a submission for the Sanity Challenge, Path Two: Vibe-Code Something Strange
Integrity-OS is an AI-native accountability system built around a simple question:
What was promised—and what does the evidence actually show?
It turns accountability into a structured chain:
Promise → Action → Claim → Evidence → Verification → Community Feedback → Conflict
Instead of giving a generic AI-generated answer, Integrity-OS helps users trace a commitment through its supporting evidence and identify what is reported, verified, disputed, or still unresolved.
For example:
The idea is to make accountability traceable, evidence-based, and understandable.
Live application: https://ai.studio/apps/f7ed5f8c-1c10-4ffd-bd27-07bd9416ec00
The demo shows how a user can explore commitments, inspect evidence, follow claims and verification records, and interact with the AI accountability agent.
Repository: [ADD REPOSITORY URL]
I built Integrity-OS through an AI-first development workflow.
I started with the idea rather than a complete technical specification:
Build an accountability system that can trace a commitment from the original promise through implementation, evidence, verification, and community feedback.
The AI initially produced something closer to a conventional dashboard. I pushed the design further toward the core idea: accountability should be an evidence trail, not just a dashboard.
I then introduced a structured model:
text
Organization
↓
Commitment
↓
Action
↓
Claim
↓
Evidence
↓
Verification
↓
Community Feedback
↓
Conflict