Knowledge

This is the content of a store itself: the consolidated artifacts that capture your expertise, and the sources of raw material they’re built from.

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Artifacts

Artifacts are what a store actually knows: the clean, structured output Clara consolidates from your interviews and sources, and what AI clients draw on. You don’t usually edit them by hand, you refine them through Work with Clara. A store has a small, fixed set:

• Brief: a structured document presenting the key elements of the domain expertise, the orientation layer that frames everything else.
• Playbooks: multi-step descriptions of how an expert approaches a kind of query or task, so an AI client follows your method rather than improvising. One per kind of task.
• Mental map: the domain’s ontology, a glossary of terms plus the domains, classes, and relations that link them, so everyone means the same thing by the same word.
• Corpus description: what source material the store draws on, how it’s organized, and how to navigate it.
• General knowledge: the conventions and assumptions an expert just knows, the unwritten context that doesn’t live in any one document.

When an AI client consumes the store through the Clarifeye skill, these artifacts guide its answers. Keeping them accurate, through Work with Clara and signals, is what keeps the store trustworthy.

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Sources

Sources are the written material behind a store. Alongside interviews, they’re the raw input Clara consolidates into artifacts: interviews capture what’s in people’s heads, sources capture what’s already written down. They come in two kinds:

• Uploaded documents: PDFs, docs, slides, and spreadsheets you have on hand.
• Connected sources: content pulled from Google Drive, SharePoint, and other connectors, kept in sync as it changes.

Sources aren’t consumed raw, Clarifeye processes them so the knowledge inside becomes retrievable. An out-of-date source is itself a signal worth raising, and retiring a source that no longer applies matters as much as adding new ones.