The full weekly masterclass replays for AI Wealth Hub. Start with the endgame, then move through the 12 levels of AI: prompts, tools, models, workflows, automations, agents, business memory, n8n, and your own AI operating system.

Week 1 shows the endgame first, then maps the 7 AI platform levels so members know where they are, what to use next, and which task to move up one level.

Week 2 is the Level 1 foundation: ChatGPT, Claude, Gemini, and Perplexity. Members learn which chatbot to use, how to ask better questions, and how to turn a chat into one useful business output.

Week 3 moves from one-off chats to reusable custom assistants. You will build one assistant for one repeated workflow, add saved context, test it, break it, fix it, and understand the limits of Level 2. The goal is not to build your whole AI team yet. The goal is to stop pasting the same context every time.

Week 4 turns your Week 3 assistant into something easier to reuse. You will package one assistant with a clear name, description, instructions, starter prompts, reference context, a test input, and a human review point. The goal is not to master every AI platform. The goal is to make one useful assistant easier to start correctly.

Week 5 is the connected AI knowledge module. Members learn the definitions, glossary terms, platform roles, review layer, and use-case map needed before building a GPT to n8n to Google Sheets workflow in Week 6. The goal is not to memorize technical jargon. The goal is to understand the language well enough to build one safe connected workflow.

This week is a recap recording instead of the normal live Week 6 build. Watch the main video first. It reviews Weeks 1-5, answers the most common questions, and gives you a checkpoint task before the next connected workflow build. The goal is simple: choose one repeated task, find where it sits on the AIWH ladder, and write the next useful step.

Week 7 is the first connected AI build. Members connect a Custom GPT to n8n, send structured follow-up fields through a webhook, and save the result into Google Sheets as a human review queue. The goal is one working review row, not automatic sending.

This week is about OpenRouter as the model engine for future agents. OpenRouter is not the agent, memory, or workflow. It is the layer that lets a workflow or agent call different models for different jobs. By the end, you will map one future agent and decide what should be cheap, what should be strong, what needs deeper review, and what must stay under human approval.

Short VIP walkthroughs for AI Wealth Hub. Use these when you need a fast answer on what each part of the AIWH system is, where to find it, and what it is used for.

The guided first actions for a new VIP member after they have watched the Quick Tours.