Data substrate
Data Quality
Contracts, validation, lineage, freshness, and ownership for data that agents can safely use.
Operating principle
Production AI is not a prompt. It is a system of context, tools, permissions, traces, evals, and feedback loops.
The substrate determines the agent
If data is stale, ambiguous, unowned, or untrusted, agents amplify the problem. Data quality is not cleanup. It is operational risk management.
Related resources
Source Graph
The owned map of systems, schemas, documents, permissions, events, and business meaning that agents use to act safely.
Vector Search
Retrieval pipelines that combine chunking, embeddings, metadata, reranking, permissions, and evaluation.
Closed-Loop Knowledge
A pattern for converting production conversations and agent traces into durable knowledge and better tests.