clarilayer: ClariLayer acts as a durable, reconciled context layer for individual analysts, enabling AI agents like Claude Code or Cursor to remember data definitions and corrections across sessions. It prevents agents from making the same data mistakes repeatedly by grounding definitions against real warehouse results.; headroom: Headroom compresses everything your AI agent reads — tool outputs, logs, RAG chunks, files, and conversation history — before it reaches the LLM. It achieves the same answers with a fraction of the tokens.
Prevent AI agents from repeating data mistakes across sessions.
Reduce LLM token usage and API costs for AI agents.