Right after we ended today I plugged the Playbook from Rachel Woods training into Claude and had it help me create it for what I'm doing and it worked great! Now I have a Social Media playbook that I have it doing across 3 platforms all at once! Sidenote I had already done a lot of work 'cloning' Claude shortly after the last AI summit so it had a lot of background info.

Hey there, do you know where I can find sample of the first 3 chapter's of Tony & Dean's book? I sign up for the VIP and not sure where to find this? help? lol thanks

Was there a replay of how to write a playbook posted somewhere? I can not seem to find it! Thank you.

It’s the end of January. Did you actually become a different person this month…or did you just think about changing? No judgment. No shame. Just data. Because results don’t come from motivation. They come from identity shifts. So ask yourself: What did I do this month that the old me wouldn’t have done? What standard did I raise? What excuse did I stop tolerating? If nothing changed, that’s okay. But don’t lie to yourself about it. February belongs to whoever decides differently. Where did you win? Where did you stall? And if you are feeling brave drop your answers below so we can cheer you on and hold you accountable!

One of the quiet myths around AI adoption is that success comes from staying firmly in control. That if we just give the right instructions, apply enough structure, and reduce uncertainty, AI will behave exactly as we want. In reality, the opposite is often true. The biggest breakthroughs with AI tend to happen not when we tighten control, but when we learn how to collaborate. ------------- Context: Why Control Feels So Important ------------- Most of us were trained in environments where competence was measured by precision. Clear plans, predictable outputs, and repeatable processes were signs of professionalism. Control was not just a preference, it was part of our identity. If we could define every step and anticipate every outcome, we were doing our job well. AI disrupts this deeply ingrained model. It does not behave like traditional software. It responds probabilistically, offers interpretations rather than guarantees, and sometimes produces outputs that are surprising, imperfect, or simply different than expected. For many people, this creates discomfort before it creates value. That discomfort often shows up as over-structuring. We try to lock AI into rigid instructions. We aim for the perfect prompt. We narrow the interaction so tightly that there is no room for exploration. On the surface, this looks like responsible use. Underneath, it is often an attempt to preserve a sense of control in unfamiliar territory. The challenge is that excessive control quietly limits what AI can contribute. It turns a potentially collaborative system into a transactional one. We ask, it answers, and the interaction ends. What we lose in that exchange is insight, perspective, and the chance to think differently than we would on our own. ------------- Insight 1: Control Is Often a Comfort Strategy ------------- When we encounter uncertainty, control feels stabilizing. It gives us the sense that we are managing risk and protecting quality. With AI, this instinct is understandable. We worry about errors, misalignment, or appearing unskilled if the output is not perfect.