Has anyone any comments on using this tool to create refined LLM's? It is open source so technically any model found on Ollama can be modified using any chosen topic.

Dean Graziosi sold this course with "You get more of Sabrina Romanoff" and I was mind blowned of her session and thought: Yes, she will show us how we do - step by step - to create several social media post from one origianal and show us how we post it everywhere with help from AI. What we get: A 9 page PDF that is saying crap like "Ground yourself before prompting" and "do a mindset upgrae". Well that was the first 6 pages. Then it is 3 pages left where we get 5 geeral and easy prompts that we could figure out by our own. The two last pages is a micro plan of 1 week filled with nonsense and the last page is just Sabrinas name. So we got 1 page with 5 generic prompts. And I do not see how that promts can fullfille the promises giving: - She shows you how to go upstream—start with one painful problem, go deep with one model, and stack 40 tiny, compounding wins instead of hunting for one mythical agent. - You’ll see how she uses AI as three distinct partners—Brainstorming, Research, Sparring—so you stop getting generic drafts and start getting thinking you can ship. - The interactive blueprint (your private “how we really do it” packet) walks you through Sabrina’s field-tested plays: - the confidence-building career plan that turned anxiety into a two-year roadmap, - the Viral Hook Engine that breaks “200-view jail,” and the Solopreneur Distribution System that repurposes one video into platform-native content across six channels—on autopilot. - You’ll also build an AI Board of Directors (strategy, marketing, product, finance, ops) to pressure-test any plan before you spend a dollar, plus add Sabrina’s one-line upgrade—“Ask me clarifying questions…”—that immediately boosts the quality of every output." WHERE do we get all this? How can 1 page in a pdf file with 5 generic promts do everything that is promised above? I do not see anywhere how that will give me 40 wins, use the AI for brainstormning, research and sparring, build me a 2 year roadmap, a solopreneur distribution system that goes on autopilot, an AI Board of Directors.

We’re building Autogence. We install AI agents for high-ticket clients only. We close the clients. You build the agents. You get paid per project. This is freelance, not a job. If you: – Build AI agents in production – Work with LLM APIs, voice agents, WhatsApp, CRMs, APIs – Care about performance and reliability If you only do prompts or demos, this isn’t for you. What we offer: – Paid work – Constant projects – Clear specs – No client chasing – Long-term collaboration If you’re interested, DM me: We move fast. We work with serious people only.

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