Pull code, proofs, and structured outputs from conversations into reusable knowledge assets.
Pull reusable outputs from conversations and documents — code blocks, mathematical proofs, summaries, and structured excerpts — and store them as indexed, searchable knowledge assets. Stop losing the valuable parts of AI conversations.
| Identify | Isolate | Index |
|---|---|---|
| Automatically detect extractable outputs in conversation content. | Pull outputs cleanly from surrounding context with full provenance. | Store extracted outputs in a searchable library for reuse. |
A 300-message AI conversation might contain 5 genuinely reusable code blocks, 2 important insights, and 1 critical architectural decision. The rest is iteration, refinement, and small talk. Manual extraction doesn't scale.
When you copy a code block from a conversation into a file, you lose the reasoning that produced it, the alternative approaches that were rejected, and the context that makes it understandable six months later.
Without extraction, the same questions get asked and re-answered across sessions. Knowledge doesn't accumulate — it dissipates.
Keimenon identifies extractable content in parsed conversations — code blocks by language markers, proofs by logical structure, summaries by position and formatting.
Extracted outputs carry provenance — which conversation, which message, what surrounding context. The extraction links back to the original, not just the isolated snippet.
Extracted outputs flow into the Verification Workspace for human review before they're marked as trusted knowledge assets.
Indexed outputs are searchable, taggable, and embeddable. Reference them in new conversations, include them in publications, or deploy them in codebases.
| Extract | Store | Reuse |
|---|---|---|
| Identify and isolate reusable outputs from any source. | Index into a searchable, tagged snippet library. | Reference and re-deploy across projects and publications. |
| Verify | Trace | Inspect |
|---|---|---|
| Check outputs against original source material. | Follow the extraction chain to its origin. | Side-by-side context view with source evidence. |
Explore Verification Workspace →