Integrity-OS: Promise → Proof

This is a submission for the Sanity Challenge, Path Two: Vibe-Code Something Strange

What I Built

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:

• 500 students promised
• 350 reported as reached
• 312 supported by verification evidence
• Community feedback identifies remaining gaps
• The system preserves the discrepancy instead of inventing an answer

The idea is to make accountability traceable, evidence-based, and understandable.

Demo

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.

Code

Repository: [ADD REPOSITORY URL]

My Build Process

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