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This Week in AI...
This week, I show off some results of my Claude Cowork testing, the new Scribe v2 transcription model from ElevenLabs, and Midjourney's new Niji 7 model. Plus, I discuss the rising "AI for shopping" trend and OpenAI's new healthcare initiative. All that a more in the video, enjoy!
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šŸ”„ From One-Off Prompts to Habitual AI Use
Many people believe they are using AI because they have tried it. A prompt here, a draft there, an occasional experiment when time allows. But trying AI is not the same as integrating it. Real value does not come from one-off interactions. It comes from habits. AI delivers its greatest impact not when it is impressive, but when it is ordinary. When it becomes part of how we think, plan, and decide, rather than something we remember to use only when things get difficult. ------------- Context: Why AI Often Stays Occasional ------------- Most AI use begins with curiosity. We explore a tool, test a few prompts, and are often impressed by the results. But after that initial phase, usage becomes irregular. Days or weeks pass without opening the tool again. Each return feels like starting from scratch. This pattern is understandable. Without clear integration into existing routines, AI remains optional. It competes with habits that are already established and comfortable. When time is tight, optional tools are the first to be skipped. Organizations unintentionally reinforce this pattern by framing AI as an add-on. Something extra to try, rather than something embedded into how work already happens. As a result, AI remains novel, but not essential. The gap between potential and impact often lives right here. Not in what AI can do, but in how consistently we invite it into our workflows. ------------- Insight 1: One-Off Use Creates Familiarity Without Fluency ------------- Trying AI occasionally builds awareness, but it does not build intuition. Each interaction feels new. We forget what worked last time. We rephrase similar prompts repeatedly. Learning resets instead of compounding. Fluency requires repetition. The same way we become comfortable with any tool, language, or process, through use in similar contexts over time. Without that repetition, AI remains impressive but unreliable. This is why many people describe AI as inconsistent. In reality, their usage is inconsistent. Without patterns, there is no baseline to learn from.
šŸ”„ From One-Off Prompts to Habitual AI Use
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3 things I do every weekend to set up my week
I’ve learned this the hard way. If you wait until Monday to get focused, you’re already behind. Here’s how I set up my week before it starts: 1. I choose ONE win that mattersNot a to-do list. Not busy work. One outcome that actually moves my life or business forward. That goes on the calendar first. 2. I remove friction ahead of time I look at my week and ask,ā€œWhat’s going to trip me up?ā€ Too many meetings, distractions, low-energy days. I fix it now so I’m not relying on willpower later. 3. I reset my environment Desk clear. Calendar clean. Priorities visible. When Monday hits, I don’t want to think... I want to execute. This isn’t about discipline. It’s about design. Winning weeks are built before they begin. What about you? What’s the ONE thing you do to set yourself up to win the week ahead? Drop it below šŸ‘‡
Quick behind-the-scenes share šŸ‘‡
I just published a YouTube video where I show how I built an AI voice agent that qualifies leads before a sales call. What it does: – Calls leads automatically – Asks smart qualifying questions – Can be used for cold calling – Passes only serious prospects to you I also included a live cold-calling demo, so you can hear exactly how it sounds in real conversations. Built this using n8n + VAPI, and honestly… this kind of automation is going to change how sales teams operate. If you’re into AI, automation, or sales systems, this one’s fun to watch. let me know and I'll share it with you!
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I spent months chasing solutions, not realizing the real issue was hidden in plain sight.
I kept looking for something new to fix things, a better plan, more motivation, another idea. But the harder I pushed, the more stuck I felt. Then it hit me: nothing was broken. I just wasn’t giving any one thing enough time to work. I was constantly switching, doubting, and restarting every time results didn’t show up fast enough. The moment I slowed down, committed, and stayed consistent, momentum finally appeared. Not overnight, but steadily. It reminded me that progress doesn’t disappear. It gets delayed when we stop believing too early. So here’s my question for you, what’s something you might be abandoning too soon because results aren’t showing up yet?
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