Something I’ve learned over the last year: Most people use AI as a single tool… but the real power comes when you use AIs together. If you’ve ever felt like ChatGPT gives good answers but misses depth — or Perplexity gives great research but lacks creativity — here’s the method that fixes it: The 2-AI “Relay Method” Use one AI for deep thinking, and another for execution. Step 1 — Perplexity for the Research Brain Ask Perplexity to create a detailed research report with sources. Examples: • “Deepsearch the latest AI business models for 2025–2026” • “Research 20 monetizable workflows using image + video AI” • “Analyse what’s working in content right now in my niche” You get clarity, data and direction. Step 2 — ChatGPT for the Action Brain Paste the research into ChatGPT and tell it to: • turn it into strategies • build workflows • write scripts, content, plans • convert theory into something you can actually use Now you have execution, not just information. Step 3 — (Optional) A third AI for production Like MidJourney, Runway, Claude, or Gemini → use the plan you got to actually build the output. This simple workflow turns one hour of research into something that feels like you hired a whole team. AI alone is powerful. But AI + AI + AI is how you get the unfair advantage. Curious — has anyone else here tried combining multiple AIs together? What’s been your experience so far?

If there’s one mindset that separates those who succeed with AI from those who stay stuck, it’s this: the willingness to take imperfect action. So many people hesitate to use AI because they think they need to “understand it” first. They wait for the perfect tutorial, the perfect tool, or the perfect prompt. But AI doesn’t reward perfection. It rewards curiosity. Perfection slows you down. Action teaches you faster than any guide ever could. ------------- The Trap of Waiting to Be Ready ------------- When you first start using AI, it’s easy to overthink everything. What should you ask? How specific should you be? What if the result isn’t good? That hesitation comes from fear: fear of wasting time, fear of doing it wrong, fear of not being “techy enough.” But AI isn’t a test. It’s a conversation. You learn by engaging with it, not by observing from the sidelines. Every time you take action, you teach yourself something new about how AI thinks and how to make it work for you. Progress begins when you stop waiting to be ready and start exploring. ------------- Why Mistakes Are the Shortcut ------------- Here’s the secret that nobody talks about: every AI expert you admire got there by messing up. They wrote bad prompts, misunderstood results, and wasted time on the wrong tools. But they kept going. AI rewards iteration. The faster you make mistakes, the faster you find patterns that work. 1. Start messy - Don’t wait for the perfect prompt. Ask simple questions and build from there. 2. Learn by adjusting - If a result isn’t right, clarify, reframe, and try again. 3. Capture what works - Save your successful prompts and build your own library over time. Each misstep becomes a stepping stone. What feels like failure today turns into intuition tomorrow. ------------- The Power of Small Wins ------------- One of the best ways to build momentum with AI is to create small, achievable wins. You don’t need to master automation or create perfect systems overnight. You just need to prove to yourself that AI can make life a little easier right now.

Open any AI tool. It doesn't matter which one! Type this prompt: “Ask me one question at a time to understand what I do, and when you have enough information, clearly explain how you can help me.”

I’m grateful to be here. Thank you @Tony Robbins and Dean Graziosi for this opportunity. I am learning about AI….taking it one step at a time, so I don’t feel overwhelmed. 😊