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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.

Because they don't know what technology is for. Tech exists for one purpose: to optimize a process. That is the case for both archaic tools like hammers, shovels and Excel to also all the modern AI software and smart devices we're seeing launching everyday. So process is key. If you don't have clarity on your process, or if it is not good, than a specific tool will not solve any problem. Overlooking the process and focusing on the tools is the biggest mistake for both IT professionals and those who hire them. Every tool has it's downsides and every software is flawed. But more often than not, when you fail at a project, the problem is not on the tool or the platform you're using, but on lack of planning and proper management. - Automating your sales process is useless without having a great offer - Launching a paid traffic campaign is a waste of money if you don't know where your potential clients are and how to talk to them - A fancy landingpage will not bring you any results without a clear communication and a great CTA - Implementing a CRM won't do anything for you if you don't know how to analyse data and get feedback on your clients in order to continuously improve your process at each new one AI is changing the game, lowering the barriers for people to start their businesses and giving eveyone who dominate and keep up with the changes an unfair advantage over those who don't. But just like any technology, you won't get anything out of it without a great offer, a solid plan and a well managed process.