Hello everyone I’m working on connecting an n8n workflow with a frontend, and I could use some advice on how to structure it properly. Current setup: * I’ve built a cold SMS campaign system using n8n. * Our backend database (Supabase) has 19M+ records. * Each campaign is created with 1,000 contacts and tied to a campaign_id in the campaigns table. * Right now, I manually assign the state and generate 4 new campaigns each day by creating campaign IDs and attaching them to records (Thru sql queries) Client’s request (moving toward micro-SaaS): * On the frontend, a user should be able to: 1. Select a state where they want to run their campaign. 2. The system should automatically pull 1,000 records from the database for that state. 3. A new campaign_id should be created in Supabase. 4. That campaign should be automatically linked to those 1,000 records. * Once this happens, n8n should trigger a workflow for that campaign. Ideally, it would either: * Dynamically assign the campaign_id to an existing workflow, or * Duplicate a template workflow and bind it to that campaign_id. My question:
 What’s the best way to automate this workflow triggering in n8n when the frontend sends the campaign request? * Should I be duplicating workflows via the n8n API? * Or is there a better way to handle multiple campaigns dynamically within a single workflow? Any suggestions or examples would be super helpful 🙏

A local business owner was spending 10+ hours a week just sorting and replying to all his emails. That’s more than a full working day lost every single week. The real problem?
Instead of closing deals, serving clients, or growing his business, he was stuck inside his inbox, buried in repetitive replies and messy email chains. And the more his business grew, the worse it got. Scaling felt almost impossible. That’s where AI-powered email automation came in.
I helped him deploy a system that: Classifies every incoming email (support, inquiry, follow-up, meeting request, intro, etc.) Drafts intelligent responses automatically ( trained on his tone of speech) Labels and organizes everything inside Gmail so he never has to waste time digging again. The result? Hours freed every week! 
Faster, more professional responses Mental space to focus on what really drives his business forward. This isn’t just a tech upgrade; it’s a shift in how small businesses can run lean, smart, and scalable. dm me and I will share the entire setup for free.

‎ ‎Just finished building a Meeting Availability Agent using n8n that: ‎ ‎1. Checks Google Calendar availability ‎2. Uses OpenAI to suggest ideal meeting times ‎3. Formats a personalized message with available slots ‎4. Sends the message for human review/approval ‎5. Then delivers it via Gmail ‎ ‎This setup is perfect for busy professionals who want to automate scheduling without fully removing the human touch. ‎ ‎ Ideal for client calls, sales teams, or service providers who want smart automation + control. ‎ ‎Let me know if you wish to get one for your business or workflows. ‎

I put together a short Loom showing how AI can help clinics with things like bookings and handling customer questions. Not trying to sell anything—just sharing what I’ve been experimenting with. If anyone wants to see how something like this could work for their business, feel free to DM me 🙂 https://www.loom.com/share/08f3ebc4e213425ca062a71bc0c3b4ff?sid=4fe2697c-6ac5-40fe-9221-365008fd86ae

🧑‍💻 Ultimate Personal Assistant Your All-in-One AI + Automation Agent, Powered by n8n This is my personal assistant. As such I will be updating this assistant at least once a month adding more tools to it and more workflows to it. 🌟 Overview The Ultimate Personal Assistant is a complete AI-powered automation system built in n8n.It connects your daily tools — email, calendar, contacts, tasks, weather, and more — with the intelligence of local AI models. Think of it as your digital co-pilot: it reads, remembers, and acts across all your apps, while staying under your control. ⚡ Features - 📧 Email Agent – Reads, drafts, labels, and replies to emails. - 📅 Calendar Agent – Creates, updates, or deletes events, even with attendees. - 👤 Contact Agent – Manages contacts by creating, updating, or fetching details. - ✅ Tasks Agent – Handles to-do items: create, update, and delete tasks. - 🌦 Weather Agent – Provides real-time weather updates. - 🔎 Search Agent – Fetches live information from the web. - 🧠 Memory – Persistent memory using Postgres + Zep, so it remembers context and past conversations. - 🤖 AI Agents – Powered by Ollama local models with reasoning and decision-making logic. 🛠 Tech Stack - Core Workflow Orchestration → n8n - Memory Layer → Postgres + Zep - AI Models → Ollama (local LLMs) - Tools → Weather API, Search API, Gmail, Google Calendar, Google Tasks, Google Contacts - Messaging → Telegram integration for live assistant interaction 🚀 How It Works 1. Triggers – You can start a conversation with the assistant through Telegram or data events. 2. AI Agent – Your query is passed to an AI agent (Ollama model) with memory. 3. Routing – The AI decides which specialized agent (email, calendar, tasks, etc.) should act. 4. Action – The agent executes the request (send email, create event, fetch weather, etc.). 5. Feedback Loop – Results are saved to memory and returned to you in real-time. 📸 Example Use Cases - “Schedule a meeting with Alice tomorrow at 2 PM.” → Calendar Agent creates the event. - “Remind me to pay bills on Friday.” → Tasks Agent adds the reminder. - “What’s the weather in New York today?” → Weather Agent responds instantly. - “Reply to John’s email with: Thanks, I’ll get back to you.” → Email Agent drafts and sends. - “Add Bob to my contacts with phone number 555-1234.” → Contact Agent saves it.