Work & Operations
Answer patient enquiries for a clinic by chat
An n8n and Gemini agent receives patient chat messages, keeps context, uses clinic info from Google Sheets and responds to enquiries.
n8n · Gemini
Record how you work, then automate the repetitive parts
Screenpipe records screen and audio locally and gives agents a searchable memory to turn repeated tasks into procedures.
Time saved
Not reported
Setup time
Not reported
Running cost
Not reported
Cost range
Not reported
Use case overview
Screenpipe records screen and audio locally and gives agents a searchable memory to turn repeated tasks into procedures.
Reported experience
What they did
Screenpipe runs in the background and captures a screenshot plus the OS accessibility tree whenever something meaningful happens, such as an app switch, click, or typing pause. It falls back to OCR when needed, and transcribes audio locally. Everything goes into a local SQLite index with an authenticated API on port 3030, plus MCP and skills. An agent is then asked to find repeated work, build SOPs, or automate it.
How it went
The source gives no results or measurements for these automations, only example prompts. It states the local models are meant to use under 1% CPU and 400 MB RAM. It is a launch post, not a case study.
Worth knowing
Commercial use needs a paid license; personal, nonprofit, educational and research use is free. You can try it with npx screenpipe record, no account needed.
Example prompts
I do this task repeatedly: [describe task and the apps involved]. Help me write it up as a clear step-by-step procedure, then build a script or reusable instruction file in [folder path] that automates it. Run it once on a safe test case, and pause before any step that sends, submits, pays, or deletes.
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