The real AI value comes from anything simple as a 3 node workflow It’s not about what it uses, or how advanced it is You could be selling your automation talking about how it integrates all the fancy stuff but:.. What does it actually do? Does it actually solve a business problem? Or does it even complicate it more? What problem in your business do you think needs fixing right now? And you think AI can do it?

Even when I’m outside I can’t stop touching robots These ones bring the food to me when I order it on a tablet!! This is a REAL LIFE AI agent 🤯 Have you guys come in contact with an actual robot before?

Im going to throw this question out there because a lot of people fill their heads with a lot of useless AI stuff (me) that they then never use, and if i were to go back to when i first started, i would only learn the essential things to be able to get started. So my question to you is what would you want next out of AI? More workflows? More Prompts? Or would you like a more solid base to start learning AI from the bottom all the way to the top! knowing things like token distribution Parameters Fine-tuning, Or just how to make money with it 🤣 Let me know! All of these bring you advantages either way

To learn how to make profitable AI, you dont need to be a rocket engineer... Here's what changed: I replaced a $40K a year receptionist in 9 hours last week. Not because I'm a technical genius. Because the tools changed and most people are still following 2023 tutorials. The Old Way (Still Being Taught): - 300+ hours of tutorials - Months learning JSON and APIs - $2,000 courses - $250/hour consultants - "It's technical, you need an expert" The New Reality: I built 14 complete workflows before lunch last Tuesday. Two tools. That's it. Tool 1: https://n8nchat.com/ - Plain English in. Working n8n workflow out. No coding. "Build me a workflow that monitors competitor pricing and alerts me when I'm undercut" Result: 8 minutes. Done. Deployed. (There are Also More tools like this which i will show) Tool 2: Claude Code - For the 10% that needs custom work. Writes, tests, and fixes code in your terminal. Needed a custom scraper yesterday. Described it in one sentence. 8 minutes later: working script. That repetitive task eating 20 hours of your week? You can automate it today. Not next month. Today. The gap between "I want this automated" and "it's automated" is now measured in minutes, not months. The automation gap is widening every single day. I'm going to show you exactly how to build these systems. Because if you're still doing the same task twice, you're burning money. More coming soon. Drop a 🔥 if you want to see the first build walkthrough. Oh yeah and all FREE🤩

WARNING: a bit nerdy A lot of people in here using ChatGPT as their base AI and this is why it won’t be enough in the future a 27M parameter ai model just beat gpt-5 on reasoning benchmarks! yes, 27M parameters. that's 4x smaller than gpt-1 (117M). why? because singapore startup sapient intelligence built a brain-inspired architecture that thinks like humans do: two modules working together - a slow strategic planner and a fast tactical worker. what hrm (hierarchical reasoning models) achieved: – 40.3% on arc-agi (beats claude 3.7's 21.2%) – near-perfect on extreme sudoku (gpt-4: 0%) – optimal 30x30 maze solving (state-of-the-art: 0%) – trained in 2 gpu hours with just 1,000 examples gpt-5 today: – billions of parameters – $17-20 per complex reasoning task – requires massive pre-training – still uses chain-of-thought "thinking out loud" translation: it doesn’t matter what model you use, it’s what the model does that matters for what you do that will make it effective. funny thing is gpt-5 just launched with all the hype, yet a model 100x smaller solves puzzles it can't even attempt.