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Start Here ๐Ÿ‘‹
Hey, welcome in ๐Ÿ‘‹ Really good to have you here. This community is here to help you use AI properly in your business so you save time, stop starting from zero, and start building toward your own AI operating system. Start like this: 1. Watch Week 1: The Platform Map 2. Watch Week 2: Level 1 Chatbots 3. Pick one task you do every week 4. Use AI to create one useful output 5. Post your proof in Weekly Tasks โœ… Do not try to automate your whole business on day one. Pick one real task. Client follow up. Social post. Email. Research. Sales call summary. Weekly planning. Anything that repeats. If you get stuck, post in AI Help Desk ๐Ÿง  And one thing you will hear a lot in here: Save your prompts. That is how we stop starting from zero every week.
Week 8 - Masterclass and Classroom are live!
Hello beautiful people! Week 8 is now live. For anyone who could not attend, I have uploaded the Week 8 Masterclass and published the mini-lessons: Masterclass: https://www.skool.com/aiwh/classroom/5f491d98?md=9113114662754c7d9da31bd3741fd27e Classroom: https://www.skool.com/aiwh/classroom/4aa3e2a8?md=e09e87710cac498d8f0e8d442cdf6157 This week is about OpenRouter as the model engine for future agents. The main thing to understand is this: OpenRouter is not the agent. OpenRouter is not the memory. OpenRouter is not the workflow. OpenRouter is the engine layer that lets a workflow or agent call different models for different jobs. So the lesson is not "use the most expensive model for everything." The lesson is: Simple job -> cheap model Client-facing writing -> stronger model Risky decision -> reasoning model Setup/debugging -> coding model Unclear or risky -> human review This week's task is simple: Pick one future agent and create your routing map. Post it in the community using this format: My future agent: Simple work it can send to a cheaper model: Work that needs a stronger model: Work that needs deeper review: Work where Fusion might be worth it: Memory/knowledge it would need: What I should not send to the model every time: What must stay under human review: Do not overthink it. One agent. One routing map. That is enough for version one.
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Week 7 - Masterclass and Classroom are live!
Hello beautiful people! Hope everyone enjoyed the session yesterday! For anyone who could not attend, I have uploaded the Week 7 Masterclass and published the mini-lessons: Masterclass: https://www.skool.com/aiwh/classroom/5f491d98?md=47bec1c4d1d14ffa9eae461020f353ae Classroom: https://www.skool.com/aiwh/classroom/aff7f4c5?md=38e4aa35493c478ea29305d187bd0163 Quick honest note for everyone who was live: You saw the automation not work properly the first time. After the call, I went back through the guide we created, and the issue was a silly setup mistake. Nothing dramatic. I had just moved too quickly and missed one of the checks in my own guide. That is actually the lesson with automation. These workflows can break when one field, URL, setting, or mapping is slightly off. When that happens, the fix is not to panic or rebuild everything. The fix is to slow down, read the guide, follow each step, and find the small place where attention slipped. That is why the Week 7 guide is inside the classroom. Use it properly. Do not guess the setup from memory. This week's task is simple: Create one GPT to n8n to Google Sheets review row using fake test notes. Post your proof when it works: My GPT created: My n8n workflow saved: My review queue is: The human review check is: The next automation step I would add later is: Looking forward to seeing your review queue screenshots and proof posts in the community!
Week 4 Proof Post: Package Your Assistant โœ…
Yesterday was about turning your Week 3 assistant into something easier to reuse. Week 3 was: can it work once? Week 4 is: can someone else start it correctly? The task today is simple: Package one assistant and test it once. Do not build ten GPTs. Do not jump into Actions yet. Do not try to automate your whole business. Pick one useful assistant and give it: 1. A clear name 2. One repeated job 3. One starter prompt 4. One fake test input 5. One human review point Post your proof in the comments: My assistant: Where I packaged it: What it does: Starter prompt: Fake test input: Pass/fail: Human review point: The proof is not that you made a GPT. The proof is that the assistant is clear enough to reuse.
Weekly task: write the workflow in plain English
Week 6 is the review queue week, so the task starts before the automation. A lot of people open the tool too early. I say that with love because I have also opened the tool too early and then stared at a screen like it owes me rent. This week I want you to write the workflow in English first. One sentence is enough. When this happens, use this information, create this draft, and leave it here for review. That sentence does more work than it looks like. Inside it you can see the trigger, the data, the output, and the human check. The blurry part is the real work for this week. Example: When a new lead fills in the form, use their answers and my offer notes, create a first reply draft, and leave it in the review sheet before anything gets sent. That is enough to build from. It is also enough to spot danger before the tool touches a client. Your task today: Repeated task: Workflow sentence: Blurry part: What should stay manual: Post it below. Make it clear first.
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