Use case
Real estate client call notes app
Cairn helps brokers remember client preferences, property context, objections, commitments, and follow-ups.
Why this work is hard to remember
real estate client and property work often happens in motion. The important detail may arrive while someone is standing in a room, walking a site, finishing a call, or moving to the next client. Manual notes are usually written after the fact, which means small but important details can disappear: exact wording, open questions, constraints, objections, symptoms, property details, issue severity, or who committed to the next action.
Cairn is built for that moment before the clean note exists. It gives the professional a way to capture the source, review the transcript, and save it into a durable project structure instead of trusting memory or leaving a recording in a folder with no context.
How Cairn fits the workflow
For real estate client and property work, Cairn starts with recording or upload, then creates a transcript that can be reviewed and edited before it becomes project memory. The project might be a buyer, seller, property, deal, neighborhood search, or active client relationship. That project container matters because future questions rarely start with "find recording 17." They start with "what happened with this client, site, patient, matter, or workstream?"
The Cairn loop is simple: record the work, save the memory, ask what happened later. A recording or uploaded file becomes a transcript, the transcript is reviewed and saved inside the right project, and that project becomes the place where reports, follow-ups, todos, calendar items, and AI answers can start from real context.
What users can get back later
Once the transcript is saved, Cairn can support recall and output. A user can ask what was decided, what changed since the last visit, what open items remain, or what should be included in a client follow-up, property preference summary, deal note, or next-step list. The point is not to replace the professional. The point is to keep the captured source close enough that the professional can work from the real memory instead of reconstructing the day from fragments.
Cairn can also turn memory into tasks, calendar items, reports, and follow-up drafts when the work needs to move forward. That is where field memory becomes operational: not just a transcript, but a record that can become next actions.
Privacy and review expectations
Cairn is local-first for core app memory: projects, sessions, transcripts, settings, chat history, processing jobs, reports, todos, and calendar events are stored locally on the user device. Some requested features still use cloud and AI services: Supabase for authentication, agent/account/billing records, Groq and DeepSeek for AI processing, and Razorpay for checkout where paid plans are available.
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.