In this week's AI News You Can Use, I'll show you everything that's changed with ChatGPT in the past couple weeks including new scheduled tasks that actually work, emails that actually send reliably, and a ton of other features you want to know about to get the most out of ChatGPT. Enjoy!

"Start small. Pick one thing. Test it. Then scale." This is the most common advice given to people trying to adopt AI in their business, and on the surface it sounds reasonable. Manage the change carefully. Avoid overwhelming yourself. Build confidence gradually. All of that sounds sensible. But there's a pattern that doesn't get discussed enough: the people who follow this advice most faithfully are often the ones who see the least long-term value from AI. They start small, see modest results, conclude that AI is "useful but limited," and stop before reaching the threshold where it changes how the work actually operates. The risk of starting small isn't that you'll move too slowly. The risk is that you'll test the wrong level and draw the wrong conclusion from what you find there. ------------- Context ------------- What does "starting small" usually look like in practice? It looks like using AI to speed up one specific task that was already working reasonably well. Draft this email faster. Summarize this document more quickly. Generate some ideas for this project. These are real use cases, and they deliver real time savings. They're also the lowest-leverage application of what AI can do. The problem is that incremental changes to existing workflows produce incremental results. If a workflow was designed around a human doing every step manually, inserting AI into one step makes that step faster. It does not change the architecture of the workflow. The fundamental structure, how work flows, where decisions happen, what handoffs look like, what overhead the process carries, stays exactly as it was. And the results reflect that. Modestly faster. Somewhat less friction in one place. But no step-change in what the business can do or how the day feels. When people conclude from this experience that AI isn't transformative for their particular work, they're often right about the experiment they ran. They're wrong about the conclusion they drew from it. They tested AI as a faster tool inside an old system and found it delivered tool-level gains. That's accurate. It's also not what AI looks like when it's working at its ceiling.

Seriously. Not how far you still have to go. Not the goal you haven't reached yet. Not the thing you're still trying to fix. How far have you come? The person you are today knows things, has survived things, and has overcome things that would've felt impossible a few years ago. Growth has a funny way of becoming invisible once it becomes normal. So before you focus on what's next, take 60 seconds and answer this: What's one thing about your life today that a younger version of you would be proud of? Drop it below. 👇 Let's celebrate some wins today.