I've talked to thousands of founders. Same pattern every time. Chasing the shiny new tool that's going to magically make them rich. I get it. I did it too. But I built to 150,000 followers and a six-figure agency in under a year. Not because I found a magic button. Because I showed up every single day and didn't stop. n8n made consistency possible. It didn't make it automatic. There are a million ways to make money with AI. There is no one right path. There's just the right path for you. And that path still requires: → Focus → Hard work → Commitment over time The tool is just leverage. What are you actually committed to right now? Drop it below 👇

Sam Altman said something at the BlackRock Infrastructure Summit this week that crystallized a lot of my thinking. "We see a future where intelligence is a utility like electricity or water and people buy it from us on a meter." I've been saying a version of this for nearly a year. My one-liner in conversations: "We don't buy tools from the electricity company." We buy refrigerators from Samsung. TVs from LG. Light bulbs from Philips. Electricity just powers them. AI tokens are heading the same direction. The model providers (OpenAI, Anthropic, Google) will sell the raw intelligence. Everyone else builds specific tools that consume those tokens for specific jobs. Voice generation tools. Code review tools. Customer support automation. Research tools. Analytics platforms. Each one tailored to a workflow, a user, a problem. The model providers become the power grid. Everyone else builds the appliances. I'm not theorizing. I'm living this right now. I'm building 5+ AI-native products and services as a solo founder. One person. No team, no employees. A decade ago I tried something similar and failed badly. The infrastructure didn't exist. You needed teams of engineers and real capital to build anything meaningful. Today the infrastructure is here. One person can ship real products in weeks that would have taken months with a full team. People keep asking me "is AI a bubble?" I push back every time. I'm in it every day, building in the trenches. This doesn't feel like a bubble. It feels like a utility going live. For the automation builders here: how are you thinking about this shift? Are you building tools on top of AI APIs? And does the "utility" framing change how you think about your product's long-term defensibility?

The problem: A SaaS company gets dozens of support emails every day. Billing questions, technical issues, account problems, urgent complaints — all landing in the same inbox. Someone reads each one manually, decides who handles it, and writes a reply. That's hours of work that adds zero value to the business. What I built: The moment a support email arrives, an AI agent reads it and classifies it into one of five categories — Billing, Technical, Account, Inquiry, or Urgent. Each category routes automatically to a dedicated Slack channel so the right team sees it instantly. At the same time the customer receives a personalized acknowledgment email written by AI, with the tone adjusted based on priority level. High priority tickets get an urgent empathetic response. Low priority gets a friendly brief reply. Everything gets logged to Google Sheets automatically. The result: Every customer gets an instant response that feels relevant to their specific issue. The support team only sees pre-sorted tickets ready to action. Nothing gets lost, nothing gets delayed. The classification logic was the most interesting part — instead of keyword matching or dropdowns, the AI reads the full email context and decides the category. It handles edge cases a simple filter never could. Tools: n8n, Google Gemini, Gmail, Slack, Google Sheets Happy to answer questions about the classification logic or how the Slack routing works.