While the AI world has been buzzing about Claude Code and the emerging AI OS narrative, the n8n team quietly shipped something that deserves a lot more attention: the official n8n MCP server. What this means in plain terms: any AI agent that can call tools can now connect directly to your n8n instance and build workflows from scratch. Claude Code, Codex, Gemini, Cursor. If it speaks MCP, it can now author, test, and deploy n8n automations without a human touching the canvas. The server comes with full knowledge of every n8n node, the official documentation, and built-in error correction and test execution before it ever hands the workflow back to you. That's not a small thing. That's the authoring layer becoming agentic. Where this gets interesting: autonomous workflow factories Here's an architecture that's now within reach for any serious automation builder: Imagine a queue — a simple database or even a spreadsheet — tracking n8n workflow jobs your clients need built. A scheduled trigger (a recurring n8n workflow, or better yet, a Claude Routine running on an hourly cadence) pulls the next job off the queue, spins up an AI agent armed with the n8n MCP server, and hands it the spec. The agent builds the workflow, tests it, resolves any errors, and posts a ready-to-review draft to your n8n account. Then it marks the job complete and moves to the next. That's a fully autonomous workflow factory. No human in the loop until the review stage. Going deeper: multi-agent pipeline orchestration This doesn't have to stop at a single build agent. With frameworks like OpenClaw or Claude's own multi-agent primitives, you can extend this into a proper pipeline: - A Planner agent breaks down a client's high-level requirement into discrete workflow specs - A Builder agent uses the n8n MCP server to construct each workflow - A QA agent reviews the output against the original spec, flags issues, and loops back - A Delivery agent notifies the client (via email or Slack), posts documentation, and closes the ticket

Yesterday I sold an AI audit to my first client. He's a real estate broker who has a team of 10 real estate agents wanting to scale his team to 30 this year. In my initial talks, I've identified at least 5 solutions for that brokerage alone, 3 of which are voice AI. The audit will possibly reveal more opportunities, and the client seems to be open to all of them. This is likely to be a $25k + engagement if all opportunities are sold.

TL;DR: Experienced AI/software engineer (10+ yrs, IBM, PayPal) recently launched an AI agency and is looking to partner with sales consultants who have clients or warm leads. I build fast, affordably, and reliably — you bring the deals, I'll deliver the goods. _____________________________ Hey everyone, I'm Joel — technical founder of Rivasyst AI, and I'll be upfront: I'm new to the agency world, but I'm not new to AI. I've been building software for 10+ years and got started working with AI solutions back in 2015 at IBM, building for enterprise clients long before ChatGPT was cool and took the world by storm. More recently, as a contract AI engineer on a PayPal dev team, I built a tool that let non-technical business users create, manage, and visualize n8n workflows entirely through natural language — all within PayPal's internal AI environment using custom agent tools and the n8n-mcp project. Crazy thing about it is I'd never used n8n before that project. When I finally picked it up firsthand, I was productive within 10 minutes. Within 2 hours I had a full lead qualification workflow running: it captures form submissions from my discovery and demo call forms, validates the email, researches the business, runs it through an AI agent to score lead quality vs. scam risk, generates a tailored list of potential automations and discovery call questions, pings me on Slack, and sends the lead a booking link — all built and tested from scratch. On the voice AI side, I'm currently building a 24/7 AI voice agent for real estate — handling lead capture for property listings. Got it to 90% in about 3 days of focused work, having never built a voice agent before. Here's why I can move this fast and keep costs down for clients: as an experienced engineer, I have the foundation to build AI solutions from scratch. But pairing that with low-code tools like n8n and agentic coding tools like Claude Code means I can deliver complex, production-grade systems in days instead of months. That speed and efficiency translates directly to affordable pricing for clients.

Looking for someone who can generate a N8N workflow from a google sheets tab. Extracting emails by website, analyzing websites, connecting to instnatly.AI & Retell, and auto draft custom emails by company/website design. Tools - Google sheets, N8N, Retell, Instantly.ai, Claude

Hey! My name is Joel. I'm an AI engineer with over 10 years experience building software. I own a (slow and stagnant!) web dev services business called Rivasyst that I have decided to transform into an AI agency offering AI agents, automated workflows, transformation, and consulting services to rural and intercity SMB's. Building software for me has never been the bottleneck, it's always been marketing and SELLING. I'm here to meet new people, and learn how to build, operate, and sell solutions so that I can finally break free from the always unpredictable world of 9-5 software engineers in tech.