Ask
Ask AI over the right memory scope
Cairn lets users ask questions with no memory, one transcript, one project, or broader saved work depending on what the answer needs. Supports file attachments and image previews before sending.
Use context deliberately
Narrow memory scope improves relevance and avoids sending more context than needed to the AI assistant.
Users choose whether the assistant can access no memory, one transcript, one project, or the full saved workspace — every scope level has a distinct use case and privacy boundary.
Work from source memory
AI answers start from saved transcripts and project context rather than relying only on generic model knowledge.
Answers grounded in the user's own field recordings are more accurate for specific professional contexts and reduce hallucination risk on clinical, legal, and inspection details.
Stream answers as it works
Responses appear progressively so the assistant feels active rather than frozen behind a loading state.
Streaming lets the user see the answer forming and decide whether to let it finish or refine the question early — saving time during busy field days when quick answers matter most.
Attach supporting context
Files and images can be previewed before sending when they help explain the field situation or client question being asked.
The user controls exactly what context accompanies each question, preventing accidental overshare of sensitive information about a specific patient, property, or legal matter.
Follow-up and next steps from memory
The AI assistant can pull out action items, client message drafts, comparison notes, and open questions from selected transcripts or project memory.
Instead of re-reading entire transcripts, professionals can quickly ask what changed since the last visit, what decisions were made, and what still needs follow-up — getting answers from field memory without manual review.