Came across this video from the founder of Leftclick (an automation agency doing $400K/month) Nick saraev and he's making some pretty bold claims that I think this community needs to discuss. His main argument: Technical automation skills like n8n, Make.com, and APIs are becoming worthless because AI is getting good enough to build entire workflows from plain English. Just like how the industrial revolution killed hand stitching, AI is killing the "hands on" automation work we've all been learning. His timeline: - 12 months: 50%+ of workflows built via natural language - 24 months: Complete business systems generated from plain English prompts What he says to do instead: - Stop memorizing tools and APIs - Start understanding how businesses actually work - Learn to communicate business requirements to AI clearly and precisely - Think in systems, not tools The question I want to ask this community: Is he right? Are we wasting time going deep on tools like n8n and Make when we should be focusing on business thinking and prompting skills instead? Drop your thoughts below 👇 Would love to hear from people actually in the trenches building stuff right now.https://youtu.be/YIl-awY250k?si=5BKw07Ym_veYfFu4

My name is Erno Ervasti, and I'm based in Helsinki, Finland. I have a bunch of small and medium-sized businesses in mind that I’d like to work with, but I’m having a really hard time building AI agents. I’m simply too busy marketing my AI automation services while also taking care of my daily business operations. I’m wondering if there’s anyone interested in partnering up. I can handle lead generation, and I’m looking for someone who can focus on the AI automation/agent side. Feel free to send me a DM or leave a comment if you're interested.

I tried Manus and i love it but a lot of you are using claude, possibly? Just curious

I was sending about 50 cold emails a day manually. Personalizing each one, researching prospects on LinkedIn, writing unique openers. It worked, but it was eating 3-4 hours of my day. So I built an automation workflow that changed everything. Here's exactly what it does: 1. Lead scraping + enrichment I pull leads from multiple sources and run them through an AI enrichment layer. The system grabs company info, recent news, tech stack data, and even social posts. This gives me actual context to personalize with — not just "Hey first_name." 2. AI-powered email writing Each email gets written by an AI agent that uses the enriched data to craft a unique opening line and value prop. No templates. Every single email reads like I spent 5 minutes researching that person — because the AI actually did. 3. Automated sending + follow-ups The whole sequence runs on autopilot. First touch, follow-up 1, follow-up 2 — all personalized, all timed correctly. I set it and forget it. The results after 30 days: Reply rate went from 4% to 12%. Booked 3x more discovery calls. Saved about 15 hours per week. Cost: basically just my n8n instance + API calls. The biggest lesson? Most people fail at cold outreach because they either blast generic templates OR they manually personalize (which doesn't scale). The sweet spot is AI personalization at scale. The whole thing runs on n8n with a few API integrations. Happy to break down the exact workflow architecture if anyone's interested. Who else is automating their outreach? What's working for you? Drop a comment if you want me to walk through the full setup.

My biggest issue is how to charge clients? Are you charging clients with how much they are saving? For example, building an AI voice agent, or your voice agent replaces one employee, would you charge based on how much the clients are saving based on the employees salary? Or do you charge based on the time you spend setting up the AI agent and the time you will be spending monthly for maintenance