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The version of you who gets the result isn't built on your best days.
It's built on your most ordinary ones. Anyone can show up when they're motivated. Anyone can grind for a week. Or a month. The hard part is becoming the kind of person who does the work when it feels completely average. No breakthrough. No applause. No big wins. Just another Tuesday. That's where identity is formed. Not because you accomplished something extraordinary. Because you kept a promise to yourself when nobody would've blamed you for breaking it. Your future isn't built by your biggest moments. It's built by the standards you refuse to lower on your most forgettable days. Question: What's one standard you've committed to keeping, no matter how unremarkable today feels?
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🙈 Why the Most Valuable AI Workflows Are the Ones You'd Be Embarrassed to Show Anyone
Scroll through any AI community or professional feed and you'll see a fairly consistent pattern in what gets shared: impressive, polished workflows, sophisticated multi-step automations, demo-ready use cases that look genuinely striking. These posts get engagement because they're interesting to look at, and there's real value in some of them. But there's a quieter category of AI use that almost never gets shared publicly, because it's too specific, too unglamorous, or too obviously simple to feel worth posting about. And in our experience talking with people across a wide range of businesses, this quieter category is often where the actual highest-value AI use is happening, precisely because it's aimed directly at a real, specific, recurring annoyance rather than at looking impressive. ------------- Context ------------- There's a natural bias in what gets shared publicly toward the visually interesting and conceptually novel. A sophisticated automation chain that handles an entire complex process looks impressive in a screen recording. A simple prompt template that saves someone twelve minutes a day on a mundane, specific task doesn't look like much of anything, even though the twelve minutes, compounded daily over a year, adds up to a meaningful amount of recovered time. This bias shapes what people think AI is supposed to be used for, based largely on what they see other people sharing. And it can create a subtle pressure to chase the kind of impressive, demo-worthy use cases that get attention, rather than staying focused on the boring, highly specific problems that are actually costing time in a given individual's or business's day-to-day work. The businesses and professionals getting the most consistent value from AI tend to be doing something less exciting than what circulates on social feeds. They've identified a specific, recurring annoyance, something narrow enough that it would never make for an interesting post, and built a simple, reliable solution for exactly that problem.
🙈 Why the Most Valuable AI Workflows Are the Ones You'd Be Embarrassed to Show Anyone
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How to Use New ChatGPT Work in 12 Minutes
This video takes you from "why does my ChatGPT look different??" to "Oh my gosh this is the best update ever and I can't wait to start using it!". In it, I'll break down the new ChatGPT Work and gives you a quick-start tutorial on how to use it. This is the first in a series teaching you how to use ChatGPT Work, so subscribe to the YouTube channel if you enjoy this episode and want to see the next one! Discover 10 practical ways to use ChatGPT Work to save time, organize your workload, and move projects forward faster: https://learn.aiadvantage.com/free-pdf Enjoy :)
Why delegating Scetchnotes to AI is a bad idea
I’ve seen more and more AI-generated images that look like sketchnotes, and I understand the desire to create them. Sketchnotes work partly because they condense complex information into images. But a sketchnote is more than an image that looks a certain way. Sketchnoting is a personal practice where a person listens, understands, processes, and visualizes their thinking. Sketchnoters do this work to understand it first for themselves, and if others get value from it, bonus. Professionals who sketchnote at conferences or in group meetings to help other people understand, do the thinking work themselves, too. Here’s why AI-generated, sketchnote-style images are not sketchnotes: When a transcript or a block of text is dropped into an AI with a prompt to make it look like a sketchnote, the work, thinking, and internal dot-connecting (the heart of a sketchnote) are lost to the machine. Even worse, your skills in these areas begin to atrophy from disuse: - You did not listen. - You did no processing. - You did no synthesis. - You did not connect the dots. - You did no sketching or noting. - You’ve created a simulation of a sketchnote. When you delegate the hard part of a sketchnote to the AI, you’re bypassing the purpose of sketchnotes: the work of listening, processing, thinking, synthesizing, sketching, and noting the idea into a sketchnote. A sketchnote may be rough or finely polished, but its purpose is the same: to build your understanding, to reveal your thinking, and to reward you with a visual artifact for reference or sharing. You’re building knowledge as you visualize ideas. Call an AI-simulated image an infographic, an illustration, or a visual. Just don’t call it a sketchnote, because you didn’t do the work!
Why delegating Scetchnotes to AI is a bad idea
Strategy + Patience = Results
Today reminded me of something important. A few months ago, I could have rushed into making a decision. Instead, I slowed down, built a plan, improved one step at a time, asked questions, learned, stayed patient, and waited until the timing was right. Today that patience paid off. Whether you’re learning AI, building a business, improving your health, or working toward a financial goal, success usually isn’t about one big moment. It’s about making good decisions consistently until the results finally catch up. Small daily actions create massive results.
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