I’ve learned this the hard way. If you wait until Monday to get focused, you’re already behind. Here’s how I set up my week before it starts: 1. I choose ONE win that mattersNot a to-do list. Not busy work. One outcome that actually moves my life or business forward. That goes on the calendar first. 2. I remove friction ahead of time I look at my week and ask,“What’s going to trip me up?” Too many meetings, distractions, low-energy days. I fix it now so I’m not relying on willpower later. 3. I reset my environment Desk clear. Calendar clean. Priorities visible. When Monday hits, I don’t want to think... I want to execute. This isn’t about discipline. It’s about design. Winning weeks are built before they begin. What about you? What’s the ONE thing you do to set yourself up to win the week ahead? Drop it below 👇

If you could only use ONE AI tool every day for the next 12 months, which would it be and what do you actually use it for?

In this video, I show you every way to customize ChatGPT as of October 2025. This includes personalization options for both the free and paid plans, so no matter how you use ChatGPT, this video will teach you how to set it up to get the best results!

We are not limited by what AI agents can do. We are limited by what we trust them to do. As conversations accelerate around agentic AI, one truth keeps surfacing beneath the hype. Capability is no longer the bottleneck, confidence is. ------------- Context: Capability Has Outpaced Comfort ------------- Over the past year, the narrative around AI has shifted from assistance to action. We are no longer just asking AI to help us write, summarize, or brainstorm. We are asking it to decide, route, trigger, purchase, schedule, and execute. AI agents promise workflows that move on their own, across tools and systems, with minimal human input. On paper, this is thrilling. In practice, it creates a quiet tension. Many teams experiment with agents in contained environments, but hesitate to let them operate in real-world conditions. Not because the technology is insufficient, but because the human systems around it are not ready. The moment an agent moves from suggestion to execution, trust becomes the central question. We see this play out in subtle ways. Agents are built, then wrapped in excessive approval steps. Automations exist, but are rarely turned on. Teams talk about scale, while still manually double-checking everything. These are not failures. They are signals that trust has not yet been earned. The mistake is assuming that trust should come automatically once the technology works. In reality, trust is not a technical feature. It is a human layer that must be intentionally designed, practiced, and reinforced. ------------- Insight 1: Trust Is Infrastructure, Not Sentiment ------------- We often talk about trust as if it were an emotion. Something people either have or do not. In AI systems, trust functions more like infrastructure. It is built through visibility, predictability, and recoverability. Humans trust systems when they can understand what is happening, anticipate outcomes, and intervene when something goes wrong. When those conditions are missing, even highly capable systems feel risky. This is why opaque automation creates anxiety, while even imperfect but understandable systems feel usable.

Followed the email. Entered the prompt...and voila