I read this workflow about ChatGPT generating presentations. It raised a question. Can we replicate this exactly with Gemini and Google Slides today? I need to know if Gemini can already analyze, structure, and generate the final file (or connect to design) without the manual friction. I’m looking for real efficiency. Not theory. If anyone has a proven workflow, I’d appreciate the insight.

The fear of falling behind often feels like a warning, but in reality, it behaves more like a trap. It creates urgency without direction, pressure without clarity, and motion without meaning. When it comes to AI adoption, this myth does not accelerate progress. It quietly undermines confidence, judgment, and long-term capability. ------------- Context: Where the Fear Comes From ------------- We are surrounded by narratives that frame AI as a race. New tools launch weekly, headlines highlight exponential change, and social feeds reward those who appear early, fast, and fluent. In that environment, it becomes easy to believe that progress is measured by speed alone, and that hesitation equals failure. Inside organizations and teams, this fear often shows up subtly. People experiment with tools without a clear reason, adopt workflows they do not fully understand, or push themselves to “keep up” even when the value is unclear. The pressure is rarely explicit, but it is constant, and it shapes behavior more than we realize. At a personal level, the myth of falling behind turns learning into a performance. Instead of curiosity, we feel comparison. Instead of exploration, we feel evaluation. The question shifts from “What would help me think better?” to “What should I already know by now?” That shift is small, but its impact is enormous. Over time, this mindset erodes trust in our own ability to learn. We begin to see AI as something we must catch rather than something we can shape. Adoption becomes reactive, fragmented, and emotionally exhausting. ------------- Insight 1: Falling Behind Is a Story, Not a Fact ------------- The idea that everyone else is ahead is rarely grounded in reality. What we usually see are fragments. A polished output, a confident post, a shared success. What we do not see are the missteps, the discarded experiments, or the long periods of uncertainty that precede real competence. AI capability does not move in a straight line. It develops unevenly, shaped by context, intent, and repetition. Someone may appear advanced because they use a specific tool fluently, while lacking clarity in how it actually supports their thinking or decisions. Another person may move slower, but build deeper judgment and adaptability over time.

I’m finalizing the title of a leadership book for people who look successful on the outside, but feel disconnected on the inside. Thank you for taking a moment to be part of this process.

I have recorded videos of my presentations and talks. I’d like to use AI to extract meaningful insights from them and evaluate the presenter’s impact, not only in terms of content, but also delivery, clarity, emotional connection, and overall presence. What tools, workflows, or methods are you using to analyze your own videos and improve as a speaker?

Hey there! I am a creative, actress, singer/songwriter and network marketer. I find myself needing the assistance of AI more and more in all that I do! Hoping to learn some things in here! Here's to a fabulous 2026!