First & foremost… We’re so glad you’re here with us in this incredible private community. You’re officially part of the AI Advantage movement, and there’s never been a better time to jump in and start creating TRUE AI Confidence in a world that’s shifting daily. With our brand new 2026 AI Advantage Summit happening April 23–25, this is the perfect place to get connected, get inspired, and get ready for an incredible event. If you found this community because you registered for the Summit, welcome… We’re thrilled to over deliver for you during this journey! If you’re an existing member and want to be part of the 2026 Summit, make sure you RSVP so you don’t miss your chance to join us live for this exciting experience. Over the coming weeks, this community is where the momentum starts. It’s where entrepreneurs, business owners, creators, and professionals come together to explore what’s possible with AI, especially when it comes to saving time, simplifying the way you work, and creating more space for what matters most. Whether you’re brand new to AI or already experimenting with it, you’re in the right place. The Summit is going to be packed with powerful ideas, practical strategies, and real-world ways to use AI to work smarter, move faster, and reduce the overwhelm that so many people feel in business and life right now. And while you’re here, we’d love for you to introduce yourself in the General Discussion section. Let the community know where you’re from, what you do, and what you’re most excited to learn at the Summit. This is your chance to meet like-minded people, build connections, and start learning alongside others who are also ready to embrace AI in a practical, empowering way. We’re excited to have you here, and we cannot wait to experience the Summit with you. Let’s get ready for an amazing April 23–25... and make sure you RSVP if you want to join us

We often talk about time as if it only lives on the calendar. We count meetings, deadlines, deliverables, and hours worked. But some of the most expensive time loss in modern work never appears in a schedule at all. It lives in the background, in the mental effort required to keep unfinished work active in our head. That is where AI can become surprisingly powerful. Not just as a tool for output, but as a way to reduce the hidden time tax of carrying too much unresolved thinking at once. ------------- Where Time Leaks Before Work Even Starts ------------- A lot of people assume they need better time management when what they really need is less mental carrying. We do not just spend time doing work. We spend time remembering what needs to be done, revisiting half-formed ideas, holding open loops in memory, and trying not to lose important details before we have a chance to act on them. That overhead is real work, even if it does not look productive from the outside. Think about a normal day. We may have a proposal to finish, a follow-up email to send, a team decision we still need to make, a new idea for a process improvement, and three conversations that require thoughtful replies. Even when we are not actively working on those things, part of our attention stays attached to them. We keep mentally rehearsing, “Do not forget that point,” or “I need to circle back to that,” or “There was a better way to explain that.” That constant background processing drains energy long before the task itself is completed. This is one reason people end a day feeling busy but strangely unfinished. The issue is not always a lack of effort. It is that attention has been fragmented across too many mentally open loops. The brain becomes a storage system, a reminder system, and a drafting space all at once. That creates invisible cycle time. It slows the path from thought to action, from task to completion, and from idea to value. In that sense, the real time leak is not just workload. It is unexternalized workload. The more work we hold in our head, the more time we lose to friction, context switching, and re-entry. AI matters here because it can help us move thinking out of our head and into a form we can work with faster.

This week, I cover the new model releases from OpenAI including GPT-5.3 and 5.4, plus I show off the new Project Sources update for ChatGPT. I also break down the many releases from Google as they condense their AI tools down into the products that work, talks briefly about OpenClaw competitors and Anthropic's latest releases, and more. Enjoy!

The team and I did this and some of the results were very interesting! Go into ChatGPT and post this prompt: "Based on all the conversations we've had, can you analyze my behavioural tendencies. Keep it short and concise" Post your response in the comments below and let us know if any of it was a surprise to you! Here is mine: Here are the behavioural tendencies you consistently show in our chats: - Iterative builder: You like shipping a version, then tightening it fast with specific edits and constraints. - Framework-first thinker: You gravitate toward checklists, systems, repeatable steps, and clear structure over vague advice. - High signal standards: You push for longer, fuller answers with real substance, not surface-level answers. - Precision + optimisation bias: Whether it’s macros, pricing, positioning, or scripts, you like measurable targets and tuning variables. - Creative but directed: You enjoy big imaginative swings, but you still want them organized and usable. - Action orientation: You regularly steer toward “what do I do next” and practical outputs you can deploy immediately.

We keep hearing that AI will “take work off our plate.” The truth is subtler. AI can take tasks off our plate, but only if we keep ownership on our shoulders, and build the guardrails that make delegation safe. ------------- Context: The Two Extremes We Keep Falling Into ------------- When teams start experimenting with AI that can take actions, sending messages, updating records, scheduling tasks, changing settings, the first reaction is often excitement. The second reaction is usually a control reflex. We either lock the system down so tightly that it cannot help, or we loosen it too much and hope it behaves. Both extremes are understandable. Over-restriction feels responsible because it minimizes risk. Over-delegation feels productive because it maximizes speed. But both approaches tend to break trust. Over-restriction produces disappointment and abandonment, because people cannot feel value. Over-delegation produces incidents, because the system will eventually act confidently in the wrong direction. The heart of the issue is that many organizations treat AI delegation as a binary choice. Either the AI is “allowed” or it is “not allowed.” That framing misses how delegation works in real life. We do not give a new colleague full authority on day one, and we do not keep them in permanent trainee mode either. We expand autonomy gradually, with clear boundaries and feedback. Agentic AI forces us to become designers of autonomy. Not in a technical sense, but in an operational sense. We are shaping what happens when the system is uncertain, when the context is incomplete, and when the consequences are real. ------------- Insight 1: Autonomy Needs Shape, Not Just Permission ------------- When we give AI the ability to act, the default state becomes momentum. The system will follow instructions, connect dots, and execute steps faster than we can think through edge cases. That is the point, and it is also the risk. So the key question is not “Should AI have autonomy?” It is “What shape should autonomy take?” Autonomy without shape is chaos disguised as productivity.