Even your AI starts telling you to slow down 🤣

Over the past several months, I’ve been shaping the identity of Lucidium. The AI space is still new, and finding the right position, and the right audience, has been a huge learning process. Last week, I spent time in a long discussion with ChatGPT and asked a simple question: - How does my brand actually come across to someone seeing it for the first time? The answer supported my own instincts and suspicions. While the branding was strong, it felt slightly out of reach. It lacked an "on-ramp", or comfort zone, for people discovering it for the first time. So I asked a second question: - How do you create an on-ramp without diluting the brand? The answer was simple but important: softer, more concrete, more relatable entry points. I had done this early on in brand building with calm offices, serene scenes, and busy professionals. Somewhere along the way though, I zoomed in too far on one layer of the brand and let it dominate. The lesson in all this? Ask your AI how your brand identity(and any content you release) feels to your audience. - Where does it invite them in? - Where does it unintentionally exclude them? - Would someone understand what to do if they encountered it in the wild? That conversation helped me rediscover my original intent and rebuild Lucidium as a layered story: - A beginning (first impressions and ads) - A middle (education and guidance) - An end (clear frameworks and mastery) The result was clarity, alignment, and a brand structure I can now build on deliberately. If you’re building something of your own, try asking AI: - How would my audience perceive this on first impression? - Where does it feel welcoming? - Where does it feel confusing or distant? - How can I make people feel like they belong here? Once you answer those questions, you'll have a solid foundation to build on. Did this process uncover something new about your brand identity, or did it confirm something you already suspected?

Over the last year, I’ve watched AI evolve tremendously, alongside the reactions of the public to AI. Here’s a few things I’ve noticed: 1. If you sound like AI, you immediately lose your credibility. The general population is starting to notice AI speech patterns and it’s bothering them. 2. AI imagery is tolerated much more as long as you aren’t using it to trick people. I’ve watched many businesses successfully use AI imagery and people love it… As long as it doesn’t have glitchy text and weird fingers that is. So how exactly does this apply to business? 1. Make sure you are editing your AI copy. AI has a tendency to ramble and miss the point. That, combined with its speech patterns, creates copy that is hard to understand and frustrating to read. I personally like to have AI go over specific parts of my writing(eg, clarity, grammar, run-on sentences) instead of having it write copy for me. 2. Don’t be afraid to use AI imagery in your image content, but make sure you are in alignment with your branding. The goal of imagery in advertising is for brand recognition. If every image you showcase is a random AI-generated graphic, you will lose out on the social proof that comes from being recognized. What are some observations you’ve made about AI?

I’ve been really sick the last couple of weeks, but I’m finally getting back on track. There’s a new project currently being built in the Classroom section, plus several mini-lessons that are already mostly written and coming soon. Thanks for hanging in there :) In the mean time, how has everyone been? Any exciting launches or discoveries over the last couple of weeks?

Today we’re looking at how major advertising now mirrors the same sentence structures that AI is famous for. Take this Coors billboard: “THIS BEER ISN’T BOUGHT. IT’S EARNED.” At first glance, you might not think much of it. Look closer, and you’ll see the exact same structure that ChatGPT or another AI might generate if you asked it for a “strong, motivational beer slogan.” Here are the reasons I believe this is AI-written copy. 1. Parallel Sentence Structure: The core message here is that Coors “Isn’t bought, It’s earned”. This is a perfectly mirrored contrast. AI loves this because it’s mathematically simple, easy to process, and rhythmic. 2. Generic Contrast: The line sets up a binary: “not this, but that”. This is a formula AI defaults to constantly because contrast creates drama without adding in detail. • Example: “This is not just a tool, but a revolution.” While this is a good writing structure to use in many cases, it’s over-use is becoming the most common tell-tale sign of AI usage, apart from the em-dash(—). 3. Motivational Lexicon: The word “earned” is emotionally charged but vague. AI tends to lean on “earned, legacy, elevate, empower, experience, discover” — all words that trigger feelings without specifics. These words don’t tie directly to anything. you could swap the product out and the slogan would still work: • “This car isn’t bought. It’s earned.” • “This job isn’t given. It’s earned.” That flexibility makes the line sound powerful, but also generic. This is exactly how AI writes: it leans on universal words like “earned,” “legacy,” “empower,” or “discover” that can fit almost anything, but don’t say much about the specific product. 4. Lack of Human Detail: Nothing in the line tells you why Coors specifically is “earned.” There’s no mention of brewing, ingredients or history, just broad phrasing. What exactly do they mean, and how does that benefit the consumer? AI speech is persuasive but often hollow and lacking relevance to the product and audience.