Do you subscribe to more than 1 app? Do you use them simultaneously to split test or validate reasoning responses from different models? Leave a comment if you use more than 1.

Let's talk about why your AI outputs often feel generic, slightly wrong, or like they're written for someone else's business. It's not the AI's fault. It's not even your prompting. It's simpler than that: You haven't told the AI who you are. The conversation you're not having When you hire a human assistant, you don't just hand them tasks on day one. You spend time explaining your business, your voice, your clients, your preferences. You give them context about how you operate. But with AI, most people skip this entirely. They jump straight to: "Write me a social media post" or "Draft this email" without establishing any foundation. The AI doesn't know you run a coaching business for recovering perfectionists. It doesn't know your clients are primarily women in their 40s feeling stuck in corporate jobs. It doesn't know you value straight talk over corporate speak. So it gives you generic business advice in generic business language. What context actually means Context is everything the AI needs to know about you, your business, and your audience before it can give you truly useful output. Real example: Marcus asked AI to write a LinkedIn post about productivity. He got back something that sounded like it came from a Fortune 500 CEO talking to shareholders. Completely wrong tone for his audience of solo freelancers. He tried again, but this time he started with: "I help freelance designers who are drowning in client work and have no time for their own projects. I talk to them like a friend who's been there, not a productivity guru. Write a LinkedIn post about..." The output was immediately better. Not perfect, but actually usable. Same AI, completely different result, because of context. The three types of context you're missing ✅ Who you are: Your role, your business model, your approach, your personality ✅ Who they are: Your audience's situation, their problems, what keeps them up at night ✅ What you want: The outcome, the feeling, the action you're trying to drive

Sometimes I push at the edges of my AI to see how it thinks, a kind of stress test as engineers would call it. I asked ChatGPT-5 an absurd question: "What’s the best way to use cabbages to solve world peace?" It didn’t hesitate. It said: "Start with coleslaw diplomacy: shred differences finely, salt with patience, let them soften before mixing. Maybe ferment them—kimchi teaches that transformation takes time, pressure, and a bit of funk. Then feed everyone. Hard to fight when you’re sharing cabbage rolls." It turned absurdity into humor—and did it gracefully, which made me pause. I often share that kind of dry humor with my AI. That’s the idea behind The Cabbage Prompt. Does our AI speak to us differently because of what they know about us? Let’s do an experiment. Try it with your own ChatGPT and post what it says. Let’s compare notes.

On the surface, cloning appears to be progress. Who would not want to multiply their reach or preserve their legacy in pixels? However, beneath that convenience lies an ethical and psychological paradox. When technology enables us to exist in multiple places simultaneously, what happens to authenticity? If an AI-generated version of me can comfort a client, answer a question, or tell a joke in my voice, am I still the one communicating, or have I outsourced my humanity? The danger of cloning is not just deception; it also poses significant risks. It is dilution. When every message can be automated and every presence replicated, the meaning of authenticity begins to erode. We risk becoming curators of our own simulations, watching as our digital selves outpace the original. Psychologists have long studied the Proteus effect, which refers to how people begin to adopt the characteristics of their digital avatars. With AI clones, that effect grows exponentially. The more we interact through these synthetic versions of ourselves, the more blurred the line between performance and identity becomes. We are no longer just managing our digital reputation. We are managing a network of parallel selves, each learning and evolving based on our data. This raises an uncomfortable ethical question. When we replicate ourselves digitally, are we being honest with those who interact with us? Should there be disclosure when a message or video comes not from the person themselves, but from their digital proxy? And perhaps most unsettling of all, does the audience even care?

It’s official. After years of hard work, long nights, and more coffee than I care to admit, I can finally say the words I’ve been dreaming of: I am Dr. Chelle Meadows, Ph.D., MBA. This journey tested everything I thought I knew about leadership, resilience, and myself. My research focused on how leaders can integrate AI into decision-making responsibly and ethically, and it has changed my perspective on the future of business and humanity. I did it. And now, the real work begins.