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This Is What Commitment Actually Looks Like
I just want to take a moment to say this... I’m genuinely proud of you. Not because this is easy. Not because you have it all figured out. But because you’re leaning into the work anyway. Adapting is uncomfortable. Learning new tools stretches you. Changing how you think, move, and operate takes effort. And most people avoid that. Most people wait until it feels simple. Until it feels familiar. Until someone else proves it first. You didn’t. You are committed to the tools. You are staying in the room. You choose to get better instead of staying comfortable. That tells me everything I need to know. When things change and you don’t opt out… When you feel resistance and lean in anyway… That’s what separates the few from the many. This is how real growth happens. Not overnight. Not perfectly. But consistently. Keep going. You’re exactly where you should be.
Microsoft Is In The Game
New Model here we go Copilot creates Presentations in minutes And from around the world 🌎 Microsoft 365 Any tried and tested it Share three words on your findings
Why I Switched from CHATGPT PLUS to GEMINI PRO (Now “Nautilus”)
After logging 300+hours of intensive AI use in the last six weeks, after the AI bootcamp, 40 days ago from Nov 6th, 2025, running real workflows—not demos—I made a decisive platform shift to GEMINI PRO. Below is the exact rationale, from my personal and practical use documented for transparency and repeatability at the request of some of my followers. ChatGPT — Limitations Observed in High-Intensity Use (300+ Hours of Practical Work) ✘ Inconsistent reliability during peak usage hours; frequent bottlenecks ✘ Constantly have to reopen new chats to continue an existing workflow ✘ Consistently forces the user to refresh the chat when it crashes ✘ Uses DALL·E for image generation (Inferior MCP connector) ✘ Very poor quality in image AI generation ✘ Uses report PDF generator, which is inaccurate and does not parse text properly ✘ Does not produce native video outputs in comparison to Gemini Pro VEO 3 or upcoming VEO 4 power ✘ Does not integrate like Gemini Pro with Google Videos, Products, and Workspace ✘ Does not check Gmail inside the chat interface ✘ Uses folders, but does not use Gems like Gemini Pro, which are sub-agents with rules, (Time Saver) Gemini Pro — Why I Transitioned (Now Operating as “Nautilus”) ✔ Exported ENTIRE history of conversations from ChatGPT to Gemini Pro very easily. ✔ Stronger long-context persistence across extended conversations ✔ Stable performance during sustained, high-intensity usage ✔ Supports structured agent orchestration with Gems ✔ Enables purpose-built autonomous agents (“Tritons”) ✔ Reduces prompt redundancy through retained role-specific logic ✔ Scales horizontally without performance collapse ✔ Better aligned with real business, automation, and execution workflows ✔ Superior image creation with Nana Banana Pro ✔ Superior creation of videos with VEO3 & VEO4 ✔ Checks Gmail inside Gemini Pro chat interface (Genesis Pro user face) ✔ Pulls YouTube videos directly inside the UI chatbox, which GPT does not do ✔ Grabs direct research from Google, which ChatGPT cannot do
Why I Switched from CHATGPT PLUS to GEMINI PRO (Now “Nautilus”)
Class Schedule
Where do I go to see the class schedule for the AI Amplifier Club? I see a schedule for the Bootcamp, but not the Amplifier Club. I know that the last session was on Monday, two weeks ago. Please advise? 🙏🏽
🧠 Letting Go of Control, How Human Judgment Becomes More Valuable With AI
One of the quiet tensions in AI adoption is control. We like to know how things work. We like predictable outcomes. AI introduces variability, and with it, discomfort. Yet the paradox is this. As AI takes on more execution, human judgment becomes more valuable, not less. ---- Control Versus Influence ---- Traditional tools reward control. We click buttons. We follow steps. We get expected results. AI tools reward influence. We guide. We contextualize. We shape direction. This requires a different mindset. Instead of asking, how do I control this system, we ask, how do I collaborate with it. That shift changes everything. ---- Judgment Is the New Differentiator ---- AI can generate options quickly. What it cannot do is decide which option matters most in context. Human judgment interprets nuance, ethics, tone, and relevance. These are not secondary skills. They are central. As AI accelerates output, the bottleneck becomes decision making. Knowing what to use, what to discard, and what to refine. ---- A Hypothetical Scenario ---- Consider a team using AI to generate marketing ideas. The tool produces ten solid concepts in seconds. The real work begins after generation. Which idea aligns with brand values. Which fits current audience sentiment. Which supports long term strategy. AI expands possibilities. Humans provide direction. ---- Trusting the Process ---- Letting go of control does not mean lowering standards. It means shifting where effort is applied. Instead of perfecting execution, we focus on framing better questions, offering clearer context, and applying thoughtful review. This is not passive usage. It is active leadership. ---- Building Comfort With Ambiguity ---- AI invites us to operate in drafts. To expect iteration. To view work as evolving rather than finished. For many high performers, this is uncomfortable at first. But it also unlocks creativity and speed. We move faster because we are no longer starting from zero. ---- Our Opportunity ----
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🧠 Letting Go of Control, How Human Judgment Becomes More Valuable With AI
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