Guide
How to use AI with saved transcripts without flattening the work
How memory scope, source transcripts, and human review make AI more useful for field work.
The transcript is not the answer
A transcript captures what was said, but the user still needs to decide what it means. In professional work, the same sentence can become a task, risk, report note, calendar item, follow-up, or nothing at all. AI is useful when it helps organize and question the source, not when it pretends to replace judgment.
Cairn keeps the transcript as the base record so AI outputs can remain connected to what was captured. That matters for trust: the user can review the source instead of only seeing a polished answer.
Choose the narrowest useful scope
Memory scope is one of the most important design choices in Cairn. A quick writing request may need no saved memory. A question about one call may need one transcript. A question about a client, patient, site, or matter may need one project. A pattern question may need broader saved work.
Using the narrowest useful context reduces noise, protects privacy, and makes answers easier to review. It also helps the user understand why the assistant answered the way it did.
Ask questions that use the source
The strongest questions are grounded: what changed, what was promised, what remains open, what should go in the report, what tasks came out of this, what calendar item should be created, what should I ask next time, and how does this session compare with the last one?
Cairn is designed for those questions because the memory is saved by project. The assistant is not only a chat box; it is a way to work with saved field context.
Keep review in the workflow
Cairn is built for professional work, so the product has to be honest about consent and review. Users are responsible for having permission to record, upload, transcribe, or process content, and AI-generated notes, reports, todos, calendar items, and recommendations should be reviewed before being used professionally.
For clinical, legal, financial, inspection, compliance, or client-facing work, Cairn should support the professional rather than bypass the professional. Transcripts, reports, todos, calendar items, and AI answers should be reviewed before they are relied on.