Building a Knowledge Integrity Platform with Sanity and AI

Developer Tejas Rawool has introduced ATLAS, an AI-powered knowledge integrity platform designed to move beyond traditional RAG systems by transforming unstructured content into structured, verifiable knowledge. Built for the Sanity Challenge, the platform decomposes articles into entities, claims, and relationships, storing them within the Sanity Content Lake. Instead of relying on AI to generate answers from raw text, ATLAS allows users to investigate specific factual claims through an evidence graph, conflict detection, and adversarial auditing. The system provides an 'epistemic verdict'—ranging from supported to contradicted—and generates a cryptographic certificate to ensure the integrity of the investigation. By separating AI-driven interpretation from deterministic retrieval and verification, ATLAS aims to provide a transparent, inspectable alternative to standard AI summarization, ensuring that users can verify the evidence behind every conclusion rather than blindly trusting generated output.