Definitions
Cairn glossary
Definitions for field-first meeting memory, source transcripts, project memory, and related terms.
- Field-first meeting memory
- A workflow for capturing real-world conversations, visits, inspections, or client discussions and turning them into searchable project memory instead of scattered audio files or delayed notes.
- Source transcript
- The raw transcript saved from a recording or uploaded media file. In Cairn, the source transcript remains the base record behind later reports, summaries, and AI answers.
- Project memory
- A collection of transcripts, reports, notes, todos, calendar items, and related context grouped around a patient, property, matter, inspection site, client, or ongoing workstream.
- Memory scope
- The context a user chooses for an assistant response: no saved memory, one transcript, one project, or broader saved work. Scope matters because not every question should use the full archive.
- Local-first storage
- A product approach where core work data is stored locally on the user device first. Cairn uses local SQLite for core app memory while cloud and AI services are used for selected features.
- Field report
- A structured output created from field observations, site notes, client conversations, or transcript context. Field reports usually need issues, decisions, owners, next actions, and source context.
- SOAP-style note
- A clinical note pattern organized around subjective, objective, assessment, and plan sections. Cairn can support clinical note workflows, but users remain responsible for review and compliance.
- Matter note
- A legal-work note attached to a specific matter, often preserving discussion context, action records, client questions, and follow-up decisions.
- Follow-up draft
- A message or summary prepared from captured memory so a user can send reviewed next steps to a client, patient, team member, or colleague.
- Transcript cleanup
- An AI-assisted step that improves transcript readability while preserving meaning. Users should review cleaned text before saving or relying on it.
- AI-searchable notes
- Notes and transcripts that can be queried through an assistant using selected context rather than only searched by keyword.
- Waitlist qualification
- The information a pre-launch product asks for to understand who should be prioritized, such as profession, account type, workflow need, team size, usage cadence, and willingness to pay.