One of the easiest mistakes teams make with AI is assuming more usage automatically means more value. Once people start seeing time savings, the temptation is to apply AI everywhere, to every task, every workflow, every stage of work. But the fastest teams usually do something more disciplined than that. They do not use AI for everything. They use it at the moments where work tends to slow down, stall, or loop back. That distinction matters because not every task creates the same kind of drag. Some tasks move fine without intervention. Others create delays, rework, handoff confusion, or blank-page friction that quietly stretches cycle time. The teams getting the best results are usually the ones that know where those slow points are and apply AI there first. ------------- More AI usage is not the same as better AI usage ------------- It is easy to think adoption success should be measured by how often AI appears in the workflow. But high usage on its own can be misleading. A team can use AI constantly and still save very little meaningful time if it is being applied in the wrong places. This happens when people focus on novelty instead of friction. They try AI on random tasks, experiment broadly, and generate a lot of activity without identifying where the real delays are. The tool becomes present, but not necessarily useful in a way that changes the pace of work. The better question is not, “Where can we use AI?” It is, “Where does work keep slowing down?” That is where time savings tend to become visible and repeatable. Maybe it is the first draft that always takes too long to start. Maybe it is the handoff where details get lost. Maybe it is the review stage where messy inputs create extra rounds of correction. These are not glamorous problems, but they are often expensive ones. Fast teams understand that the point is not broad insertion. The point is targeted friction removal. ------------- The biggest gains usually live at the stall points -------------

In this video, I show off Claude Dispatch, which is essentially a clone of OpenClaw but safer and easier to use. Anthropic wasn't alone though, as Perplexity and Manus both released OpenClaw copies (OpenClawpies?) themselves. I also break down this trend in AI along with the new Gemini-based updates to Google Workspace and Google Maps, and more. Enjoy!

Your life usually doesn’t fall apart all at once. It drifts. A little less focus. A little more distraction. A little more scrolling. A little less doing the things you know you should be doing. And over time, that adds up. I’ve learned this the hard way more than once. If you want to build something meaningful, you have to protect your focus like it’s your job. Because in a lot of ways… it is. Not every opportunity deserves your time. Not every opinion deserves your attention. Not every thought deserves to be followed. Stay locked in on what actually matters. That alone will put you ahead of most people. So, what are you focused on right now and what are you going to do this week to protect that focus at all cost?