The biggest mistake beginners make with AI agents They tell the agent what to do, but never tell it how to think. Instead of: “Analyze this and respond” Try: “Think step-by-step. First identify X. Then check Y. Then decide Z. Only then respond.” That one change makes agents feel 10x smarter. Not because the model changed — because the thinking path did. What's your niche? Will it help? Any suggestions?

I keep seeing AI automation projects fail, and it’s almost never because of the tech. Most of the time it breaks earlier, when no one can clearly define what a correct output actually is. Everyone wants automation and everyone wants speed, but different people imagine different results. When that definition isn’t clear, the system starts drifting. The agent fills in gaps, edge cases pile up, and the automation slowly becomes unreliable even though nothing is technically broken. At this point I don’t build anything until one question is answered: what exactly must be true for this output to be considered correct? How do you usually handle output definition before building?

Forget launching. Forget fundraising. Forget waiting for product-market fit. Start running cold outbound for someone else's business. I've been doing this for a year. It's simple: Find a company that sells high-ticket B2B. Offer to book them meetings using AI automation. Charge a retainer to build and manage the system. You're not selling software. You're selling outcomes. The AI writes emails. Finds leads. Follows up. Books calls. You handle strategy, setup, and monthly optimization. One client = $3k–$5k/month. Three clients = you're full-time. Five clients = you're clearing $20k/month with no team. Check this out if you book your client 15 qualified meetings a month, and they close 20% at a $10k average deal size, you just generated $30k in pipeline for them. Your fee is $4k. That's an 8x return. Easy decision for them. And here's what most people miss: you don't need to be on the sales calls. You're not closing deals. You're not managing their sales process. You're just filling the calendar with people who said yes to a meeting. The companies that need this are everywhere. Marketing agencies. SaaS startups. Professional services firms. Other AI agencies. They all have the same bottleneck: consistent lead generation. No ads. No team. No risk on your end. Just you, the AI, and businesses that need meetings. Does that make sense yall?

Let's get to know each other! Comment below sharing where you are in the world, a career goal you have, and something you like to do for fun. 😊

From five-figure months to first clients and real-world AI builds - this week inside AIS+ showed what happens when people stop waiting and start executing. Here are this week’s highlights inside AIS+ 👇 👉 @Sef El is collecting $25K this month from client invoices - built solo, step by step, through consistency and patience. 👉 Jan Goergen-Makinson launched his first voice agent, “Kora,” handling appointments using Retell - a big leap into real client-facing AI. 👉 Prakhar Dubey built his first client workflow for a UK-based NGO supporting SEND children - turning learning into meaningful impact. 👉 @Eduard Friesen broke into the All-Time Top 10 leaderboard and landed his first paid client - momentum stacking fast. 👉 @Abel Alvarado shipped an AI Social Media Intern - from research to auto-image generation and multi-platform posting, all automated. 🎥 Super Win Spotlight of the Week: Nick Mohler | Partnerships Through Community Nick didn’t join AIS+ just for tools - he showed up, participated, and shared openly. That single decision led to meeting a business partner, multiple collaborations, and new client opportunities - all through community connection. 🎥 Watch his quick story 👇 Nick’s journey is proof that when you put yourself out there, the right connections find you. ✨ Want to see more wins like these every week? Join the builders inside AI Automation Society Plus - where consistency, community, and action turn learning into real results 🚀