Workflow

    Chat intake and publication

    How an AI conversation becomes a durable Hyphenomenon chat record while its complete transcript stays private by default and only reviewed, public-safe context reaches the live site.

    chat intaketranscriptprivacyhuman reviewHyphenomenon

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    HyphenomenonParent project
    Chat intake and publicationThis workflow
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    Workflow

    Chat intake and publication

    6 steps
    1. Capture the complete source transcript in a private archive with provenance and explicit redaction status
      action
    2. Create a sanitized chat artifact with public summary, decisions, verified excerpts, related projects, and real visual evidence when available
      subprocess
    3. Validate transcript completeness, privacy, artifact structure, and publication visibility
      decision
    4. Run an exact-target sync dry-run and prepare rollback proof before database mutation
      action
    5. Human operator decides whether the chat is public, review-only, private, revised, or stopped
      decision
    6. Apply the approved artifact and verify its chat route, project links, source presentation, and absence of unintended raw transcript exposure
      subprocess

    Related notes

    Note

    How It Works

    Hyphenomenon turns selected evidence from my work into a connected public record. It does not continuously watch everything I do or automatically scan every...