Just pre-ordered Dean and Tony's book, and reserved my seat for the upcoming event on December 12. I've attended several of Dean and Tony's events through the years, and they never disappoint. Dean and Tony have always taught me so many good things. Their committment to helping people in the age of AI makes me want to follow them even more. Looking forward to another great event.

Hope everyone enjoyed the recent seminar with Tony, Dean, and Igor. This event really got me thinking. For the past at least four or five years, I've done my best to keep up with AI. I spent five years as a Website Content Writer and just recently started a new job as a Creative Services Copywriter. It's no secret that AI will be a big part of this medium going forward, am im trying my best to stay ahead of it. However, two things have been concerned: 1. Am I really using AI the right way as a writer? 2. My new job also just hired a new CTO and he's working on an AI usage policy, I hope he doesnt completely outlaw it. I know im probably hallucinating in some way, but I've always been cautiously optimistic about AI. I hope to build Claude skills for my personal stuff, but in my actual job, I've been prompting Claude like I normally would, and whenever I feel stuck I ask it to strengthen and sharpen certain parts of my content. I often do the same thing in my full-time job. Ultimately. I'm all for using AI, and I've done my best to keep up with it. I believe my company will let me and the rest of my team use it. I just hope I'm right. If any other writers in this group have the same issue,. I'd love to connect.

Will any of Igor’s upcoming events about building an AI that works for you be available for purchase at a later time? I would love to attend them, but my finances are a bit tight and I am in the process of moving.

We talk a lot about the time AI saves. We don't talk nearly enough about what that speed is doing to our decision-making capacity. Here's what's actually happening for a lot of people who use AI seriously in their work: AI handles more of the execution, which means more decisions flow back to the human. Not fewer. More. Faster drafts mean more reviewing. Faster research means more evaluating. Faster output generation means more judgment calls about what to keep, what to cut, and what to redo. The bottleneck didn't disappear. It moved. And when decision volume goes up, something eventually gives. For most people, it's the quality of the decisions that matter most. ------------- Context ------------- Decision fatigue is not a new concept. The basic finding from decades of research is straightforward: the quality of human judgment declines as the number of decisions made in a day increases. Early in the day, with cognitive resources intact, complex decisions get better analysis, more nuance, more careful weighing of tradeoffs. Late in the day, after dozens of smaller decisions have accumulated, the brain defaults to simpler heuristics, or avoids deciding altogether. What AI has done is dramatically increase the rate at which decisions reach the human. It has not reduced the number of decisions that need to be made. It has just compressed the time between them. Before AI, the writing process had natural pacing built in. Drafting required thinking. Thinking created space. The work moved at the speed of composition. Now, a capable model can produce a draft in ninety seconds. The human's job is to evaluate it. Then improve it. Then evaluate the improvement. Then decide whether to send it or iterate more. Five decisions in the time it used to take to finish a first paragraph. At small scale, this is genuinely faster. But at the scale most people operate, with dozens of tasks, many AI-assisted, the decision volume compounds. And by mid-afternoon, the cognitive resources available for the judgment calls that actually matter have already been spent on a hundred smaller ones.

This was too good not to share. When you really think about it all of us have over 30 years of AI experience from interacting with this guy.