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
Run a solo company with eight agent departments
A founder set up CEO, CFO, COO, lawyer, accountant, marketing, CTO, and improver agents that share memory and consult each other.
Time saved
Not reported
Setup time
Not reported
Running cost
Not reported
Cost range
Not reported
Use case overview
A founder set up CEO, CFO, COO, lawyer, accountant, marketing, CTO, and improver agents that share memory and consult each other.
Reported experience
What they did
The founder wrote eight agents as markdown files in a GitHub Copilot repo. They have MCP tools for X, dev.to, Sentry and scheduling, and all read and write one shared JSONL knowledge graph. A COO agent runs a morning standup and delegates. Agents consult each other by trigger table, for example Marketing sends product claims to the Lawyer. An Improver proposes upgrades as diffs, and the founder reviews them.
How it went
After two months: €6.09 revenue, about €42/month infrastructure, 84+ tweets, 5 articles, under an hour a week on marketing, and no missed tax deadlines. Parallel writes corrupted the memory file until he forked the server.
Worth knowing
Start with three agents (COO, Marketing, Accountant), not eight. Build the cross-agent review step in from the start. Building it took about 40 hours.
Example prompts
Help me set up a set of AI agent roles for my solo business, [business description], with roles like CEO, finance, legal, marketing, and tech. Create a project folder with one instruction file per role and a shared memory file they all read and update. Write a short note on how the roles should consult each other, and stop when the structure is ready for me to try one question.
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