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Using AI Builder in Agent Studio, I designed and generated a multi-step workflow that orchestrates agents, tools, conditionals, loops, and parallel execution in a single graph.
The workflow interprets user input, plans tasks, executes actions via integrated tools, and produces structured outputs, fully autonomously.
It’s a powerful example of moving from AI-generated plan to real-world actionable execution.
The network for creativity
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Connect with clients, get discovered, and run your business 100% commission-free
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AI Email Automation with n8n and Google Gemini
An AI workflow that reads every incoming email, sorts it into 6 categories, and takes the right action automatically.
The problem: businesses lose time and leads because customer emails are mixed with promotions, job alerts, and security emails.
What I built:
Gmail Trigger that picks up each new email
AI Text Classifier (Google Gemini) with 6 categories: Security Alert, Promotions, Jobs, Personal, Payments, and Client Inquiries
Automatic Gmail labels for every category
Google Sheets log for jobs, leads, and payments
AI information extraction for client emails (name, phone, service, budget)
AI-written reply drafts for client emails, saved as drafts so a person approves every reply
Instant Discord alerts for security, payment, and client emails
Tools: n8n, Google Gemini, Gmail, Google Sheets, Discord
This project is a working demo built on my own inbox. The same system can be adapted to any business email, such as travel agencies, event venues, stores, recruiters, and consultants.
Impressive workflow! I especially like the human approval step for AI-written replies. Automation with the right oversight makes a real difference. 🙌
🌙 3:07 AM. Your team is asleep. Your AI agents aren't. 🤖
While you sleep, they:
💬 Reply to every new lead in seconds
📅 Book the slot straight into your calendar
🔔 Follow up before the lead goes cold
📊 Have your morning summary ready
☀️ You wake up to bookings, not missed messages.
🚀 I build AI agents for startups and small businesses.
🎁 Message me for a free of cost demo on your own services and prices 👋
The morning summary is what sells it. Owners want to see what happened overnight before they trust it.
Most AI builds break at the wiring, not the model: no retries, no log of what the model actually did, and no clear line for what the agent may do without a human.
I build that layer. My own products run on it -- an ordering platform where an AI agent handles real orders, and a coding agent that writes no file until someone approves the change.
The question worth answering first is what your agent should never decide on its own.
For me the line is anything irreversible or anything that costs money: refunds, deleting data, messaging customers in bulk. Below that line the agent can act, as long as every tool call is logged with its input and result, so you can replay what it actually did. The detail I'd...