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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.
AI Advantage Summit
Hello, Is it possible to watch the recordings of the AI Advantage Summit? Please let me know if that's at all possible. Thank you, Jack Garcia
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Why I Switched from CHATGPT PLUS to GEMINI PRO (Now ā€œNautilusā€)
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 DALLĀ·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 ā€œNautilusā€) āœ” Exported ENTIRE history of conversations from ChatGPT to Gemini Pro very easily. āœ” Stronger long-context persistence across extended conversations āœ” Stable performance during sustained, high-intensity usage āœ” Supports structured agent orchestration with Gems āœ” Enables purpose-built autonomous agents (ā€œTritonsā€) āœ” Reduces prompt redundancy through retained role-specific logic āœ” Scales horizontally without performance collapse āœ” Better aligned with real business, automation, and execution workflows āœ” Superior image creation with Nana Banana Pro āœ” Superior creation of videos with VEO3 & VEO4 āœ” Checks Gmail inside Gemini Pro chat interface (Genesis Pro user face) āœ” Pulls YouTube videos directly inside the UI chatbox, which GPT does not do āœ” Grabs direct research from Google, which ChatGPT cannot do
Why I Switched from CHATGPT PLUS to GEMINI PRO (Now ā€œNautilusā€)
Practical AI adoption: what actually works in real systems
A lot of AI ā€œadoptionā€ discussions stay at the mindset level. Useful, but I’ve found progress usually comes from much more boring mechanics. What’s worked best for me so far: 1. Pick a task with a small blast radius.Summarisation, classification, first-draft support. If it fails, it’s annoying — not dangerous. 2. Define ā€œgood enoughā€ upfront.Not ā€œbe smartā€, but constraints like: cite the source, ask clarifying questions when unsure, and never take actions without human confirmation. 3. Design for being wrong.Assume the model will misunderstand. Make uncertainty visible, log failures, and do a quick weekly ā€œwhat broke?ā€ review. 4. Only then scale.If one narrow use case isn’t reliable and repeatable, adding more prompts/agents just multiplies confusion. Confidence with AI has come less from mindset shifts and more from seeing the same small workflow work 10 times in a row without surprises. Curious what others here consider a ā€œsafe first winā€ use case — especially ones that still hold up after the novelty wears off.
I just found an amazing use for ChatGPT that I had never thought of and I am really excited to tell you about it
Hello everyone and happy Tuesday. I have been away from this community a few days catching up while working through everything we learned during the AI Advantage Summit, especially the insights from Sabrina and the other speakers. Today I had a truly transformative moment using ChatGPT, and I wanted to share it, because it’s probably going to save me at least 40 hours of work! I have a long standing personal interest in understanding how women around the world experience emerging technologies like AI, blockchain, quantum, and digital infrastructure. While sketching out some ideas for my own learning, I ran into a big problem. I needed to compare global religious and cultural calendars worldwide so I did not overlook important observances in different regions and countries. In the past this would have taken me at least a week of research by manually going through the different religious and cultural calendars. Instead I asked ChatGPT to scan major world religious calendars and cultural observances in every country around the world, to locate dates with the least overlap. Watching it process that global information in real time felt incredible. It just saved me DAYS of work. The summit encouraged all of us to experiment, think bigger, and try new tools, so I wanted to pass this moment along!! Did you have a similar moment since last weekend to discover a powerful or time saving use of AI? I hope you’re all doing well and especially for the people participating in the boot camp. I hope you’re learning lots of amazing things!
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The AI Advantage
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