❌ Well… I’ll tell you what it wasn’t: 🚫 AGI 🚫 Mass job displacement 🚫 The breathless predictions from January 🔥 2025 was the year smaller companies stopped waiting for permission. And started using AI strategically. Not as a replacement 🤖 As a multiplier for people already doing good work ⚡ 🏗️ At Rooost, we’ve built systems where AI: → analyses every sales call → drafts content frameworks → handles the repetitive admin that used to eat hours of time (LET ME TELL YOU 😅) ⏱️ A month’s content planned in 15 minutes ☕ Call insights surfaced before the kettle’s boiled ✅ None of it replaced anyone 🚀 All of it made us faster, sharper, more consistent 📉 The gap isn’t between companies with AI and companies without it anymore 📈 It’s between companies treating AI as a shiny announcement and companies quietly embedding it into how they actually work 🏆 The winners of 2025 weren’t the ones with the biggest AI budgets They were the ones who stopped obsessing about AI and started building with it 🧠⚙️ 💬 What’s your experience been?

Who needs a List of grants to get their business off the ground ‼️😌guarantee approval within a week NO PAY BACK!! Send a direct message on my iCloud mail or WhatsApp using the number and info below 👇 [email protected] or WhatsApp me @ +14343608608 for more info. Approval is guaranteed.

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

WHAT LLM IS BEST? WHAT DOES MICHAEL USE? WHAT IS MICHAEL's STACKING TECHNIQUE? ME? If was forced to choose 1, it would be Claude Max at $100 / month. You get more robust access to the top tier models and much greater usage limits. It's alot of money, yes. But so is a cup of coffee. So I don't buy starbucks anymore, and skip dinner out and make food at home instead. I actually come out ahead in productivity which directly impacts financial gain. (the $20 / mo Claude is amazing, dont stress if ya cant swing the hundo). But there's more to "what would Michael do". I take my life and my business seriously, it's ME after all, lol. So I will get multiple opinions (AI consultations) I Stack prompts and i stack their output. I do it manually, but if you want the easier way, here are several options to consider. 1. Take all prompts. Paste them into a notepad. Save it. It is now a .txt (text) file that LLM's like. 2. attach these .txt files to a chat, and ask the LLM to combine the best of each prompt and generate a master prompt. 3. Take all the outputs you recieved from the prompts using same tecnique, save, attach, ask. 4. take both the prompts and outputs, attach to a new chat, and ask again for a analysis and recommendation. I THINK YA'LL GET THE POINT OF STACKING NOW! So to answer this persistant question, If it's a life altering or business altering query, I run my prompts....the same exact prompt, through Claude, ChatGPT, Gemini, and Grok. ALL 4 OF THEM. Then I print them. Then I sit down with a sharpie and highlighter. Then I stack the various output's and consolidate the best part of each opinion. Once I have the perfect blueprint, I further analyze it with proprietary prompts that further enhance, improve or correct. That's the just of it. But I am a pretty intense researcher, as most people are when it comes to their own life and business. I also run prompts in different ways. Each LLM has multiple options. For Example: 1. In ChatGPT you can choose Normal Mode, Deep Research Mode, or Agent Mode 2. In Claude, you can choose a style, Extended Thinking mode, and Research mode, or combine all 3.