When you decide to win. There is no turning back. Forward ever. Back never. This is your time. Your tomorrow started yesterday. But it’s all up to you

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Beginner's Glossary of AI Terms We Throw Around I know when you first start trying to learn AI stuff you start hearing everyone throwing around terms and statements and you have no idea what they mean. So I decided to post this here as a resource so that a new person can refer to it and know what we are talking about without feeling out of place. Feel free to ask us about any of these things because you will learn all these things in DBC. 1. AI Twin A digital replica of you made with video or voice cloning tools like HeyGen. It looks and sounds like you, reads a script, and appears on camera in your place, but it does not think or reason on its own. 2. Full-Stack AI Twin A fully trained digital version of you powered by system prompts, memory files, and automations. It can research, write, plan, and execute tasks across tools in a way that matches your style and decision patterns. 3. Prompt Engineering The practice of designing clear, structured instructions for AI. You define role, task, tone, purpose, output, and constraints so the model consistently gives you useful, on-brand results. 4. Vibe Coding Building full applications using natural language prompts instead of writing code by hand. You use platforms like Lovable or Bolt.new, describe what you want the app to do, and let AI generate the frontend, backend, and logic for you. 5. AI Agent A semi-autonomous AI system that can plan, call tools or APIs, and complete multi-step tasks with minimal human input. You give it a goal and it figures out the steps. 6. Automation Stack The collection of tools, AI models, APIs, and workflows that you connect together to run processes automatically. Think of it as your digital assembly line for repetitive work. 7. Context Window The maximum amount of text or tokens a model can pay attention to at once. If something is outside the context window, the model cannot see or use it when generating a response. 8. Retrieval-Augmented Generation (RAG) A technique where the system searches your documents or databases first, then feeds the relevant chunks into the model before it answers.

👑 Happy Monday, Hustle Kings! The Hustle Kings Skool Community is leveling up FAST… and I need y’all to hear me clearly: This is NOT just a group. This is a movement. A kingdom network of leaders, visionaries, builders, and digital CEOs rising up all over the world. 🌍🔥 I’m grateful for every single King and Queen in this space. Your energy, your faith, your grind, your commitment to growth — THAT’S what makes this community powerful. And trust me… we’re only getting started. 💯👑 🦁 Here’s what’s coming to the Hustle Kings Community: ✨ New courses to help you build digital income, automate systems, and scale your platform ✨ Fresh templates + tools to make your online business EASIER to run ✨ More live trainings & strategy drops to keep you ahead of the game ✨ More community networking so Kings can build with Kings ✨ More faith, more focus, more freedom — always We are stepping into a NEW ERA… An era of digital freedom, Kingdom wealth, and unstoppable momentum. If you know someone who’s ready to launch a community, build digital income, or step into their calling… 👉 Invite them to the Hustle Kings Skool Community. Let’s keep leveling up, building smarter, and walking in purpose together. Faith. Freedom. Focus. Hustle. 👑 Welcome to the Kingdom Network. #HustleKings #SkoolCommunity #DigitalFreedom #KingdomNetwork #FaithAndFocus #DigitalCEOs #BuildWithPurpose

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