← Back to the system

Concept · living document

Concepts

Connor Simonson


Short, tested write-ups. Each one was run against a real corpus before it was written down, and each page re-renders from its source note on every site regeneration, so what you read here is current.

Search that speaks agent: LLM-enriched retrieval inside Cloze's architecture →

Agents don't remember data, they remember stories. The search box gets "that lender from the lake house closing" while the CRM holds field values, email signatures, and note fragments. Keyword search misses because the vocabulary doesn't overlap. The standard fix is semantic search with embeddings and a vector database, and that fix fights everything Cloze's architecture stands for: per-user isolated databases, local-first storage, no server-side pooling of customer data.

Auditing a book against itself: contradiction detection for contact data →

A contact database accumulates a specific kind of debt: the same fact about the same person stated in many places, at different ages, at different levels of precision. The phone number in a signature vs the one in the field. The company in an old note vs the current headline. Two spellings of the same spouse. No single entry is exactly wrong, but the book as a whole starts disagreeing with itself, and every automated touch built on top of it inherits whichever version it happens to read. For an agent that's an embarrassing text to a dead number. For a firm-level view it's worse: pooled data multiplies every disagreement across every book that mentions the same human.

A living document: the source note is the single source of truth and this page re-renders from it on every site regeneration. Last built 2026-09-21.