The promise of AI agents is almost irresistible. Set them up once, point them at your biggest bottlenecks, and watch hours of work disappear. If you've spent any time in AI communities over the last year, you've probably seen the screenshots, inboxes managed automatically, research compiled without lifting a finger, entire workflows running while someone sleeps. What doesn't make it into those screenshots is the setup time, the debugging sessions, the broken handoffs, and the hours spent figuring out why the agent did something unexpected. The promise is real. But the gap between the promise and the reality is where most people quietly lose more time than they save. That gap deserves an honest conversation. ------------- Context ------------- AI agents are genuinely powerful. The concept is straightforward: instead of using AI to assist with individual tasks, you build systems where AI can take sequential actions, make decisions, and complete multi-step workflows with minimal human involvement. Done well, that shift is meaningful. Entire categories of repetitive work can be handed off in ways that weren't possible even eighteen months ago. But there's a pattern emerging that doesn't get discussed enough. Most people who struggle with agents aren't struggling because the technology is bad. They're struggling because they built an agent on top of a workflow they didn't fully understand. The automation made the confusion faster and more expensive, not simpler. Think about what that looks like in practice. A consultant builds an agent to handle their client onboarding sequence. It sends emails, creates folders, populates project templates. Three weeks in, they realize the agent is creating duplicate folders, sending follow-ups to clients who already responded, and occasionally attaching the wrong template. They spend four hours debugging. They rebuild parts of the sequence. They debug again. Two weeks later, the original manual process, the one that took 45 minutes and never had these problems, starts looking pretty good.

In this video, I break down the huge updates to ChatGPT Memory and shows you exactly how to use them. Plus I talk about the AI updates coming to YouTube, the upcoming merger or Codex and ChatGPT apps, and more. Enjoy! :)

What’s the thing you keep saying you want…but your actions still don’t reflect? Not your intentions. Not your excuses. Your actual actions. Because the gap between the life you want and the life you currently have is usually hidden inside the habits you keep defending. So here’s a challenge for this weekend: Take 20 quiet minutes with no distractions and ask yourself these 3 questions: 1. What do I know I need to stop avoiding? 2. What would my future self wish I started now? 3. If I kept living exactly like this for the next 5 years… where would it lead? Don’t answer quickly. Sit with it. Awareness changes more lives than motivation ever will. Have an amazing weekend everybody 👊