Hey everyone! I officially turn 42 today! Instead of taking the day off, I decided to over-engineer the celebration. I’ve built an automation (n8n workflow attached 📸) that turns your birthday wishes into a live "Model Benchmarking" experiment. THE EXPERIMENT: I want to know—once and for all—which model is currently king of creative interpretation: Open AI GPT Image 1.5 or Google Gemini Nano Banana Pro I have set up a Telegram bot that takes your wish, randomly assigns it an art style (Cyberpunk, Studio Ghibli, Royal, etc.), and runs it through both models simultaneously. 👇 HOW TO PLAY (The Blind Test): 1. Click here to start the bot: CLICK HERE - CLICK HERE FOR TELEGRAM WEB 2. Send a creative wish. (The weirder the better! Try "I wish you a cake made of pure energy" or "I wish you a year of infinite GPU credits"). 3. The bot will reply with 2 distinct images generated from your wish. 4. COME BACK HERE and post a screenshot of the results in the comments! The Challenge: Post your result and tell us: Which model won? (The top image or the bottom image?) 🎁 THE COMMUNITY GIFT: If this post gets enough traction, I'll drop the workflow blueprint in the comments tomorrow! I’m paying for the API credits myself as a birthday treat, so go test the bot, but take it easy! Let’s see which model hallucinates better. 🤖🎨

Hey everyone, This is Week One of my new journey and my very first weekly journal! 🎥 Yes, the camera had a mind of its own 😅, and this is far from perfect. But here’s the truth: I’m starting anyway. This is me, raw and unedited, pushing past the awkwardness to build something real. A little about me:I’m Reynoso 👋 born in the Caribbean, I'm not ashamed to say i was raised in poverty now building a life in the Netherlands. I’m 38, a dad, a husband, and until recently, I’ve only worked in restaurants and tourism And in factories. Tech you say? Not even close. business or administrative? nope!! I've always kept my head down And just get the job done But last April, everything changed. I traded a PlayStation 5 for my first laptop 🖥️, quit smoking 🚭, and dove head-first into AI. It’s been the single biggest shortcut for someone like me no degree, no tech background, just a lot to learn. Right now, I’m focusing on voice agents 🎙️, but my first real opportunity came through warm outreach. I’m doing free work for a roofing company not with a voice agent, but by building a small app to automate their repetitive tasks. It’s a starting point. Tools I’m using: - Claude Code 🤖 (a game-changer for me) - Perplexity & ChatGPT for research and prompts - VS Code & MCP to piece it all together This is just the introduction a hello from behind the screen. In the coming journals, I’ll share more about my projects, challenges, and the systems I’m building. Why am I doing this?To create a better future for my family. To grow my own dream 🌱, not just help grow someone else’s. Thank you for being here at the start.Your support means everything. Let’s make it happen. 💪 Reynoso

So everyone's doing their 2026 goal-setting thing, right? I went a different route. I asked Claude: "What am I going to regret 12 months from now?" Here's the exact prompt I used: "It's December 2026. I'm looking back at this year. Analyze all our chats. Based on my current trajectory, what will I regret NOT doing? What will I wish I'd said no to? Be specific and brutally honest." And honestly? The feedback was... uncomfortable. 70% was spot-on enough that I had to sit with it 20% made me want to argue (which probably means it's hitting a nerve) 10% was off because Claude was missing some context The parts that really got me: "You're building everyone else's systems. When do you build the thing that's unmistakably YOURS?" "You're too available. That doesn't build wealth or freedom." "Stop saying yes to generic AI training workshops. You're positioning yourself as a commodity." Ouch. But also... true. Why I think this beats regular goal-setting Goals ask: "What do I want?" Regret asks: "What will I actually wish I'd done?" That second question? It cuts straight through all the BS we tell ourselves. It shows you what you're REALLY doing vs. what you think you're working toward. Try it yourself? → Use whatever AI you chat with most (Claude, ChatGPT, whatever) → If it has memory turned on, just paste the prompt → If not, give it some context first (screenshots of your calendar, recent project notes, whatever shows what you're actually up to) Not everything it says will be right. But the stuff that makes you defensive? That's the good stuff. Anyone else brave enough to try this? What did your AI roast you about? 👇

Today was a mess. Everything I tried to rebuild went completely wrong. I thought I could trigger a subworkflow using the “call n8n workflow” node.Simple idea. But nothing worked.Nothing was passed through, nothing arrived, nothing happened. And I have no clue why. I searched and searched and searched. Still nothing.I even used Gemini to try to debug it, but no luck there either. I wanted to spend one hour.I ended up at one and a half. I even got up early to do this. And let’s not forget Christmas is coming. I still need to buy gifts, breathe a little and not lose my mind. Today the morning is finished. So here is my question for you. Do you have any good examples in the classroom or anywhere else that show how to use the “call n8n workflow” node properly? Did anyone yoused this node in an AI Agent node? I clearly need to understand this better. Not every day is progress. Todaywas pure frustration. It was nothing... But that is part of the journey.

Classroom: AI Basics to Everyday Use Level: Foundational Category: Widely Known Types of AI Limited Memory AI bridges the gap between simple, rule-based systems and today’s more advanced learning models. 🪄 Simple Definition: Limited Memory AI can use recent information or past data to make better decisions, but it does not store long-term memories the way humans do. 🌟 Expanded Definition: - Most practical AI systems today fall into this category. Limited Memory AI models analyze historical data—such as images, sensor inputs, or user behavior—to improve predictions and actions. - Self-driving cars, fraud detection tools, recommendation engines, and many machine learning systems operate this way. - The “memory” is not human-like; it’s temporary or engineered. These systems learn from data patterns but do not form permanent memories or general understanding beyond what they were trained on. ⚡ In Action: A self-driving vehicle adjusts speed based on the movement of nearby cars. It uses real-time observations plus learned patterns from past data to decide how to respond. 💡 Pro Tip: When teaching AI, Limited Memory AI is a great example of how most real-world systems work. It shows people that AI doesn’t “remember” everything—it learns from data, acts in the moment, and resets. Classroom Link: https://www.skool.com/ai-bits-and-pieces/classroom/a8a45664?md=c0b5343893904107acda262b3605edf1