It’s a simple cheat sheet that breaks down the easiest, fastest, and highest-earning AI niches you can start building in today. You’ll see difficulty level, tools needed, startup costs, and earning potential — all in one place — so you can pick a direction quickly. If you’ve been unsure where to start, this will give you instant clarity. Take a look and let me know which idea you want help turning into a workflow or GPT.

Huge shoutout to the Top 5 Members of AI Automation Society for November! These are the people leading the way, sharing knowledge, and helping spread the AIS culture: 1️⃣ @Muskan Ahlawat 2️⃣ @Kevin troy Lumandas 3️⃣ @Frank van Bokhorst 4️⃣ @Christian Rivadeneira 5️⃣ @Noel Doe Massive congrats to all of you for your consistency and energy this month. You help set the tone for the whole community. I also want to congratulate every single member of AIS! Because of your support, wins, questions, posts, and energy, AI Automation Society is officially the number two Skool community out of more than 200,000 communities, and number one in the tech category. That is insane. And it's because of YOU. Thank you for showing up, helping others, sharing resources, and building with us. This community keeps getting stronger every month, and that momentum is what makes AIS special. Let’s keep learning, growing, and pushing the future of AI automation together. 🚀 Cheers, Nate

From first clients to viral builds and automation breakthroughs - this week inside AIS+ was loaded with momentum 👇 Here are this week’s highlights inside AIS+ 👇 👉 @Lutfiya Miller landed two new clients at a scientific conference and is now invited to speak at multiple events in 2024 - turning conversations into opportunities. 👉 Shuyi Li wrapped her first $255 client project and shared three powerful lessons to avoid beginner mistakes. 👉 @Rakshith Gowda dropped two advanced automations - an AI News Digest and an Inbox Manager with auto-replies. 👉 Georg Lauenstein automated a daily ransomware threat briefing customized for Germany’s security teams - a smart use of AI for real-world impact. 👉 @Mohd Hisyamudin Bolhassan (Sam) closed a $600 chatbot build even before joining AIS+ - proof that free knowledge can open real doors when paired with action. ✨ Want to see more wins like these every week? Join the builders inside AI Automation Society Plus - where consistency turns learning into real results 🚀

Beta scheduled for Dec 8th and Stable scheduled for Dec 15th... What's coming: - Autosave - yup, it’s finally here! - Improved canvas look and feel - Updated sidebar - A few other surprises Catch the full details here. P.S., enjoy my AI generated release graphic. I have too much fun with Nano Banana.

Most people tell ChatGPT what they want… but they never show ChatGPT what they want. Examples fix that. When you give ChatGPT an example, it instantly understands: *Your tone *Your style *Your pacing *Your level of detail *Your structure *Your “brand voice” Humans learn from examples and so does the AI. Why Examples Matter Even with Role, Context, Objectives, and Output Shaping… ChatGPT still doesn’t know what “good” looks like until you show it. A single example can improve accuracy more than a full paragraph of instructions. One Quick Example Ask this: “Write me a motivational caption.” → Generic. Ask this: “Here’s the tone I want: ‘Your future is built by the habits you practice today.’ Create 3 captions in that same style.” → Perfectly aligned with your brand. 🔁 Copy/Paste Example Line Add this to any prompt: “Here is an example of the style I want. Match it.” Or even: “Here’s a bad example. Avoid this tone.” ChatGPT learns both ways. Pro Tip Examples eliminate guesswork and guesswork is the #1 cause of inaccurate AI outputs. Next up: Skill #7 Multi-Step Prompting, where you’ll learn how to break big tasks into small, precise steps.