How do you stay updated on new AI tools and updates—do you follow X newsrooms, newsletters, or other sources to quickly make videos on them?
My workflow for staying updated is simple: I keep X (Twitter) open and subscribe to all the top creators, publishers, and the platforms themselves. Whenever a new AI tool appears on any of those accounts, I get a notification—one of the few I actually have enabled. I try to check these notifications between 5 a.m. and 3‑4 p.m., when I’m at my computer. If a notification pops up, I ask myself within 30 seconds whether it’s worth making a video about right now. If yes, I start recording immediately and worry about editing and polishing later. Seeing an update and having a 5‑minute video ready within 10 minutes is pretty cool, and I’ve automated the editing, publishing, and audio‑enhancement steps to make the flow efficient. That said, the question of how I stay on top of everything is a bit different. Honestly, I don’t try to stay on top of it all because the pace is so fast that trying to do so would consume all my time and prevent me from making money in my other businesses. It becomes mental masturbation—like AI porn—so I avoid it. My litmus test is simple: will this make me money? Is it possible? Can I use it to make money for my clients? If the answer is no, I don’t even think about it. I also find that my own processes look basic and old‑school compared to those who are constantly plugged into the cloud, chasing every agent and update; to me, that’s just a waste.
It's straightforward: I let AI handle the selection of questions, so the process is low-friction. By answering your questions I get ground-truth data on what my audience is thinking, which I feed back into my YouTube content, Maker School, and my offers to make them better. I don't spend much time on it—I just fire up the stream, read the comments, and use that insight to improve everything in my business. The daily updates also provide public accountability, motivation, and a way to connect with people, with no real downside. My routine is minimal: when I have a few free minutes before leaving the house, I record using whatever device is handy (often just my MacBook); I don't worry about camera quality, lighting, title, or thumbnail because showing up consistently over the long term is what matters.
No, I wouldn’t start a daily updates channel just for the sake of it. I do it now because my own work—running a scrappy AI automation business—is inherently interesting to watch; it’s like seeing a vlog of someone operating at a high profit level that few people achieve. For most people, watching them wouldn’t be interesting unless they’re already skilled at what they do. Running the channel takes extra time (20‑30 minutes daily) that could be spent elsewhere, but I keep it because the distribution and personal accountability it creates are valuable, and there’s a large potential payoff later as people see my consistent effort over months or years. That said, I appreciate when others start their own channels—like the one set up for me posting daily short Q&A clips—or when they share feedback, clipping content, or experimenting with formats (vertical videos, podcast clips). I’ve seen others, such as Marlon, launch similar channels and grow to around 100 subscribers. I’m open to tips, but I think the current approach is solid. I’m currently bottlenecked for taking calls, so I don’t see near‑term upside in spending time on them. Instead, I’d prefer an affiliate arrangement: if you join Maker School and create clips on channels like this, you can earn money when those clips drive sign‑ups, plus a flat CPM payment for views. This aligns incentives and creates a win‑win. I’ve already answered similar questions about the channel before, so I’ll keep it brief.
If I could give one piece of advice to my younger self, it would be to understand that outputs lag behind inputs. When you put in a lot of work, you won’t see the results immediately because there’s a natural delay—often about a month—before the effort pays off. If you have a tight feedback loop and expect quick results, remind yourself that the lack of immediate outcomes doesn’t mean your effort was wasted; it’s just the system’s lag. To work with this, ground yourself in the belief that what you’re doing is right, based on the logic and research you’ve done. Trust that belief deeply, and keep going. For example, if you were to send ten Loom videos daily to creators you admire and message them on platforms like Instagram, LinkedIn, or X, you’d mathematically expect a result. By sticking with it over a long period, the inputs eventually catch up to the outputs, and you start seeing results. I learned this from my own experience: I blogged every day for 30 days as part of a challenge, saw almost no views, and felt discouraged. But a year later, those posts were ranking on Google’s first page, driving hundreds of hits and sales opportunities. Had I kept that pace, I would have become one of the more prolific bloggers online. The same pattern happened with my YouTube channel—once I committed to daily videos for a month, the market rewarded me later, and I grew into a bigger, respected creator in my space. So, if you believe in your work, give yourself grace and extra time—maybe double or triple your estimate for when results will appear. That heuristic makes success far more likely.
When I make videos like this, I constantly balance how deep to go on one person’s question versus covering enough to help many viewers. That’s why I don’t go super deep on niche topics like AI agent orchestration from a phone—most people are dealing with more fundamental issues, like the ones Muhammad and Sam raised. It’s also a matter of top‑of‑funnel versus bottom‑of‑funnel content. My recommendation is to stop worrying about queuing tasks from your phone and instead focus on the actual bottom‑line ROI you’re generating with your current workflow. Many people try to apply AI agents to everything because it sounds cool, but in my own experience, only a small fraction of my most valuable actions over the past week involved agents. I do use them for preliminary research, scoping, scaffolding, or creating outlines, but the core revenue drivers—what actually makes me money—come from me, not the agents. The real ROI lies in simple, repeatable systems like Getting Things Done by David Allen: having a place to capture ideas, checking back to decide if something is actionable, and then working through a clear next‑action flow. It may sound boring, but that’s where the real secrets are—rooted in proven, past‑tested methods, not chasing the latest AI trends.