After learning how to prompt clearly and iterate effectively, a natural question emerges: Does it matter which LLM I use if I’m iterating well? In the short run, the honest answer is no. If you’re clear in your intent and willing to refine direction, most modern LLMs will get you where you need to go. Prompting and iteration do a lot of the heavy lifting early on. That’s why many people experience an initial breakthrough and think, “Okay, I’ve got this.” And they do. At first. 💎 Why Iteration Levels the Field Early When you’re iterating well, you’re doing a few important things: - Clarifying what you actually want - Responding to output instead of restarting - Adjusting direction in small, intentional steps Those behaviors transfer. They work across LLMs because the interaction pattern is the same: input → response → refinement. In that phase, differences between LLMs fade into the background. You’re building skill, not dependency. 💎 When Fit Begins to Show Up As AI becomes something you use regularly—not occasionally—another shift starts to happen. You’re no longer experimenting. You’re working. And that’s when fit begins to show up. Not in dramatic ways In small ones that compound over time. You notice how an LLM responds to follow-ups. How much structure it assumes. How easily you can steer it without over-explaining. Tone and writing style are often where this becomes most obvious. Some people gravitate toward Claude because it feels more measured, structured, and editorial. Others prefer ChatGPT because it feels more conversational, adaptive, and easy to steer through quick iteration. Neither is better. They simply feel different to work with. And once AI becomes part of your daily rhythm, those differences start to matter. To be clear, this isn’t about specialty capabilities like coding, image creation, or domain-specific features. It’s about how naturally an LLM mirrors: - Your tone - Your writing style - The way you think through ideas

Hi Everyone, I would like to invite you to a free webinar I am hosting today. It's a comparison of the 4 models: ChatGPT, Claude, Gemini and Copilot. Today, January 15th, 19:00 CET / 1:00 PM EST https://www.linkedin.com/events/4mainaichatbotscompared7414659699100344321/ It would be great to see some of you there. There will be gifts :-)

We gave AI Bits & Pieces logo a little visual refresh. It stands out a bit more. And honestly… we think it’s fun. Total marketing effort? We asked our daughter which one she liked better. She picked this one. Bingo — new logo. You’ll start seeing it everywhere.

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.

Hey AI Bits & Pieces crew! I’m super excited to share a little milestone with you all. Recently, found out that I’m ranked in the top 5% of U.S. developers and top 10% of Global developers on Lovable.dev! Here’s what that looks like in numbers: - The sites I’ve developed there have pulled thousands of views. - Created over a dozen sites using a total of 426 prompts. - Altogether, the development work has generated over 199,000 lines of code. - This is the equivalent of 6,600 development hours if I did it the traditional way! I thought it’d be fun to share this with you all, not just to celebrate a milestone, but to show how these tools can really amplify what we do. Websites Developed: - Corporate Websites - Bakery Showcase - Custom Mustang Website - Anniversary Celebration - Opportunity Mapping Roadmap - Knowledge base connected to Pinecone and n8n - Document storage connected to Supabase - and more... Thanks for being part of the journey!