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.
User runs OpenClaw bots that maintain a personal repo, take notes and send news summaries, and in Slack summarize meeting notes and answer team questions.
User runs OpenClaw bots that maintain a personal repo, take notes and send news summaries, and in Slack summarize meeting notes and answer team questions.
The commenter runs several OpenClaw (and Zeroclaw) instances, with local inference on a DGX Spark machine. One bot sits in a Discord channel to log issues, set priorities and update docs for a personal repo. Another takes notes and sends daily AI news summaries filtered by their relevance criteria. A third sits in Slack, processes Google meeting notes into weekly or monthly summaries, and answers org questions.
The Slack team assistant is called the most real use case so far. No metrics are given. Managing several agents over SSH and config files became painful enough that the author built an orchestration tool.
Tracking multiple agents across machines got unwieldy through SSH and config editing, so plan for some way to manage them before adding more bots.
Set up a personal assistant that maintains my notes repo at [repo path or URL], takes notes from messages I send it, and sends me a daily summary of news on [topics] at [time]. Each commit to the repo should have a clear message. Finished means I get one test news digest and one note saved to the repo. Ask me before deleting or rewriting any existing files.
An n8n and Gemini agent receives patient chat messages, keeps context, uses clinic info from Google Sheets and responds to enquiries.
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