The internet succeeded because every hyperlink preserved its connection to source and context. We built civilization-scale knowledge networks on this principle of attribution. Today's AI systems systematically violate this covenant—LLMs blend truth with speculation, RAG pipelines destroy provenance, and we've normalized machines that hallucinate with confidence.

This is not merely a technical limitation. It represents an existential threat to the integrity of human knowledge itself. The companies that solve attribution will define the next decade of artificial intelligence.

We have built the missing infrastructure. Shrinked transforms unstructured conversational data into structured, queryable knowledge with perfect citation chains. Think Plaid for memory: connecting scattered context to AI-ready repositories while preserving unbroken attribution.

The proof exists. Enterprise pilots with zero hallucination rates. Academic workflows that maintain source integrity. Policy analysis with perfect provenance. We're not building better RAG — we're rebuilding the foundation of machine knowledge.