Just for fun Use this exact prompt in ChatGPT: "Create an image based on our interactions and how I treat you no sugarcoating necessary" Then post this prompt immediately after: "Please explain how you came to generate this image and dive deeper into the thematic elements and meanings" Before you get all judgey on me and call CPS (Computer Protective Services), read the analysis/explanation. Feel free to share your results!

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. 🤖🎨

There’s a lot of discussion about how overwhelming AI can feel—especially with the sheer breadth of products and services, and the speed at which new revisions and updates keep rolling out. For many people, it creates a constant sense of playing catch-up. So whether you’re just starting out, or you feel like you’re simply keeping pace, the best place to start—or recenter—is prompting. Prompting is the foundation of working with AI. It’s the way we express intent, provide context, and guide direction when interacting with intelligent systems. Not as a trick. Not as a hack. But as the underlying mechanism that determines whether AI feels helpful—or frustrating. 💎 Why Prompting Comes First 💎 Every AI interaction follows the same basic loop: You give input. AI responds. You react, refine, or redirect. No matter the tool, that loop doesn’t change. If your intent is unclear, the output will be too. If your context is thin, the response will be shallow. If your direction is vague, results will feel inconsistent. Better tools don’t fix that. Clear prompting does. 💎 Prompting Is About Thinking, Not Typing 💎 It’s easy to think prompting is about what words you use. It’s not. It’s about: - Knowing what you’re actually trying to achieve - Providing enough context for AI to work intelligently - Setting boundaries and expectations - Being willing to refine instead of restarting The strongest prompts usually come from clearer thinking—not longer instructions. 💎 Why This Transfers Across Tools 💎 This is why prompting shows up everywhere. Once you learn how to: - Frame a request clearly - Ask follow-up questions - Adjust direction through iteration You’ll notice something interesting happen. New AI tools start to feel familiar. Different interfaces. Different outputs. Same underlying conversation. That’s not coincidence. That’s the foundation at work. 💎 The Diamond in the Rough 💎 Prompting is often taken for granted. Because it feels simple, people assume it’s basic.

We just crossed 400 members, and I want to take a moment to say thank you to everyone who’s joined AI Bits & Pieces and helped shape what this space is becoming.🎉 This community was built on a simple idea: ✨AI is now a life skill. The goal here isn’t to chase tools or trends. It’s to build real understanding and practical fluency. So AI can be applied thoughtfully in everyday life, work, and business. As the community continues to grow, you’ll see more relevant content as we learn more about member preferences. That said, content is only one part of what makes this community work. 🤝 Just as important are the contributors who consistently show up and share real work — including open build journeys like @Holger Peschke 30-day RAG build, and @Matthew Sutherland, who consistently adds deeper insight and context to our content. @Muskan Ahlawat and @Judith Vanegas also deserve recognition for their consistent encouragement and thoughtful engagement. 🏆 Community Leaderboard To recognize members who have made meaningful contributions through participation, learning, and engagement — thank you for showing up. 1. @Frank van Bokhorst 2. @Holger Peschke 3. @Muskan Ahlawat 4. @Matthew Sutherland 5. @Dena Dion 6. @Judith Vanegas 7. @Jason Hagen 8. @Dorota Mleczko 9. @Usman Mohammed 10. @Roger Richards And new contributors: @Glenn Marcus and @Reynoso Anubis for their in-depth posts and videos that inspire and encourage us pursue new AI goals and applications.

There has been a lot of buzz with week's announcement about Claude Cowork. It has some good use cases and being a research preview, certainly indicates where Anthropic is going with Agentic workflows. Prior to this weeks announcement, I have been test driving a similar system that I think outshines Cowork. I am using Claude Code for non-coding tasks. **Claude Code + private git repo** = agentic assistant accessible everywhere Comments/Feedback/Experiences very welcome! Gdoc for feedback: https://docs.google.com/document/d/1CQkGGNmNUVuoPDarbctoA7Pfj-EjaqXWZhsE0FRKO0Q/edit?usp=sharing PDF attached for quick viewing