Within the SAME chatgpt/claude/deepseek conversation, run these prompts in this exact order: Prompt #1: Based on everything you know about me, what is the fastest way for me to make <INCOME GOAL>? Limit to 1 offer and 1 channel. Prompt #2: Who is the #1 person I should learn from to succeed? Prompt #3: Pretend you are that person. Create a simple 90-day action plan that needs <$1,000 upfront and has a 95% chance of success. List the top 3 risks.

How do I add Voice to my Personal & Business CLONES (which are done) - advise Step-X-Step please?? as I am very tech illeterste. Also, HOW do I add my Videos, PDFs & Book to my Clones???? Step-X-Step please?? So, looking FWD to tomorrow

My name is Jennifer Hudson I'm new here

📝 TL;DR Google just launched Gemini 3 Flash, a new AI model that keeps most of the intelligence of its flagship models, but runs much faster and cheaper. It is designed for real world usage, from quick answers in search to powering apps, agents, and coding workflows. 🧠 Overview Gemini 3 Flash is the latest model in the Gemini 3 family, focused on one thing, speed without feeling “dumbed down.” It brings high level reasoning, multimodal understanding of text, images, audio, and video, and agent style capabilities to a model that is light enough for constant, high frequency use. It is already rolling out inside popular products, which means millions of people and developers will feel the upgrade without changing anything. 📜 The Announcement On December 17, 2025, Google announced Gemini 3 Flash as the fast, cost efficient member of the Gemini 3 lineup. It combines the reasoning quality of the Pro tier with latency and pricing closer to older “Flash” models. Gemini 3 Flash is now the default model in the Gemini app and AI Mode in Search, and it is available to developers and enterprises through their usual AI tools and platforms. ⚙️ How It Works • Frontier intelligence, tuned for speed - Gemini 3 Flash keeps most of the high end reasoning and multimodal abilities of Gemini 3 Pro, but is engineered to respond much faster and at a lower cost. • Strong on benchmarks, not just marketing - It scores at or near frontier level on tough reasoning and knowledge tests, including PhD style question sets and multimodal exams, while outperforming the previous Gemini 2.5 Pro family. • Smarter token use - The model adjusts how much it “thinks” per task and uses fewer tokens on average than earlier versions for everyday work, which lowers costs while still improving quality. • Built for agents and rapid iteration - It is optimized for high frequency workflows, like coding agents, UI design loops, and in app assistants that need to reason, call tools, and respond quickly.