On Saturday, my business coach gave me some super intentional instruction on how to track my business in a way that, if I had to do it manually, would have given me a huge headache. But there's a reason why she's at the income level that I'm at, and I want to get there. So as she was talking and talking fast, I was writing everything down and looking at it and going, "I would be so confused if I had to do this manually." But I don't. So I took her instruction, and I went into Claude Code, and as a part of my main agent, I have a sub-agent called the scorekeeper, which, like it sounds, keeps score of where I am in my business. All of our metrics, everything. I just plugged in her instruction, and in less than five minutes, I now have an on-demand scorekeeper that tracks where our team is at every single week. I've never had this much clarity with my goals and tracking my business metrics in my life. This is not something that I've ever been good at doing. Now I don’t have to be. Remember, if I can do it, you can do it.

So I want to share something that I love doing with AI, which is cutting my learning curve in half. I got an email today about a testimonial of how someone built an AI agent, saying they did all these things, right? A bullet list of "Here's what my AI agent does." Instead of feeling FOMO, I took the screenshot from that, put it into Claude Code, and said, "Hey, take a look at this: my AI agent and what it does. How does it compare to what I've already built?" It compared and contrasted, and then it actually went and built based on the features, which I think is pretty cool. Now, it's not to say that I don't want to actually attend this mastermind that the email sent testimonials from, because I do. I'm not focused on that right now. I'm focused on building something for my business, and then later on I'll tell the mastermind. However, this is what you can do with AI. Remember, if I can do it, you can do it.

I've programmed my AI agent to think like Jeremy Miner (sales coach) and layered in personality profiling for each contact. Now when I ask "Who do I need to follow up with today?" it pulls from a pre-built cadence, reads my interaction notes, and generates a customized script per person. The message fits their personality and Jeremy's scientific approach to connecting and closing. Intentional. Systematic. The agent does the heavy lifting.

"Hey folks—here's a killer AI trick nobody talks about: 'reverse prompting.' Instead of dumping your whole idea at once, just tell any AI (ChatGPT, Grok, Claude, whatever): 'Before you answer, ask me 10-15 questions to get all the details—be super thorough.' It flips the script—the AI becomes your detective, grilling you on context, goals, holes... stuff you forgot. Then boom—answers come back sharper, no fluff. Like scripting a podcast? It nails your voice without you re-explaining. Most people prompt one-way—nah, let the AI fill gaps. Cuts garbage 10x. Try it next time you're brainstorming. Game-changer."

What would we do with 10 extra hours a week? It is a simple question, but it reveals something important about how we think about work, life, and AI. Most of us say we want to save time, but we rarely stop to define what saved time is actually for. We chase efficiency, clear inboxes faster, shorten tasks, and automate small pieces of work, yet we often spend the reclaimed time filling it back up with more noise. That is why this question matters. Ten extra hours a week is not just a productivity gain. It is margin. It is attention. It is space to choose instead of react. Over the course of a year, that is more than 500 hours we could redirect toward better work, better health, stronger relationships, deeper thinking, or real recovery. When we look at AI through that lens, the goal becomes much bigger than doing tasks faster. The goal is getting time back in a way that actually improves how we live and work. In most teams, time does not disappear in one dramatic place. It leaks out through rework, delayed decisions, context switching, unnecessary meetings, scattered information, and first drafts that take too long to start. We lose hours not because we are lazy or uncommitted, but because modern work is full of friction. AI has value because it can reduce that friction. It can help us move from blank page to useful draft faster. It can summarize, organize, brainstorm, and accelerate decisions. It can shrink cycle time on the kind of work that quietly drains our week. But the deeper opportunity is not just operational. It is personal. What would we do with those 10 hours if we truly earned them back? Some of us would invest them in strategic thinking instead of staying trapped in execution mode. Some would use them to build better systems so future work takes less time. Some would finally document processes, mentor teammates, or learn the skills that reduce future dependency and rework. Others would use those hours outside work entirely, to rest, exercise, be present with family, or simply think without interruption. All of those are valid. In fact, that is the point. Time saved only becomes valuable when it is redirected intentionally.