I was in a post in the Business Builders Club and a nice guy by the name of Nick Mohler Had a really nice resource he built to help people make AI solutions. So I suggested adding a visual to it and here we are. I made one pulling the words from the docs and put it directly into notebook LM and after the second iteration and 4th request it gave me the picture. Then I want to Gemini and added it to the original HTML. Just trying to work through my 10x10x10 framework. So far it takes me way too much time, I'm learning along the way. What have you guys been building so far, anything you would like me to check out?

I’ve been experimenting with a workflow where I use more than one AI assistant in parallel to research, stress‑test ideas, and then turn that into prompts, copy, and structure for our community! Multi‑AI collaboration (different assistants for different roles). Turning research conversations into assets: threads, frameworks, and offers. Operational thinking: treating AI outputs as draft data, not finished truth. Rather than using AI just to write everything, I’m using it as an analysis engine. I feed in real community data, get back diagnostics and options, and then turn that into assets we can actually deploy. The real value comes with how much clarity I can use. A specific problem, a clear desired result and adjusting for how the person in the loop actually does things to match up a useful solution. I can also search for clarity if a desire is there but the path isn't clear. Where are you guys on your business journey right now?

I would like to introduce Ken Hyra! He has a Skool group helping married men be first to take action on behalf of the partnership. The Relationship Reset Lab Is about taking action, something I can greatly appreciate. Please join me in welcoming @Ken Hyra to the treehouse!

I have been building my 10x by 10x by 10x workflow on google folders, notebook LM and Notion. I am still going live sharing what i am learning and working on. I'm trying to solve my own time restraint problems and when I do I'll share with you guys so you can use what's working for me. Speaking of how is progress? I know a number of people in here a making multiple post's a day in their communities. Spot light what's working, feel free to share a link or a pick of what your working on!

I went live today and learned a new way to find out which communities have key words in there about pages and also how to structure the 11 key words for skool's internal search, I'll paste the summery here. If you are running a community on this platform, you need to understand that your digital infrastructure is serving two completely different discovery engines at the same time. The biggest operational leak I see right now is treating Skool's internal algorithm and Google's external index as the same thing. Google crawls the public-facing text on your About page to capture wide-net external leads, while Skool’s internal engine relies on a strict set of backend metadata tags to recommend your group to logged-in users. Optimizing for one does not automatically optimize for the other, which means if you aren't feeding both algorithms what they specifically require, you are actively leaving monthly recurring revenue on the table. To audit the external engine, you can bypass traditional scraping and run a rapid diagnostic using Google's site operator. By typing site:skool.com "your niche" -"missing keyword" into Google, you can instantly x-ray competitor About pages to see who is failing to use high-intent, problem-solving phrases in their public copy. Google needs these long-tail, conversational keywords woven directly into the paragraphs and headlines to index the page for organic web traffic. Finding these keyword gaps in other communities gives you the exact blueprint for what your own public copy should be targeting to capture external search intent. Once the external copy is locked in, you have to capture Skool's internal traffic by properly structuring the 11 backend discovery keywords in your community settings. Do not just type random words or use hashtags; you need to build a structured allocation matrix. Assign your slots logically across Macro identifiers (broad industry terms), Tool/Format identifiers (specific skills or software), High-Intent outcomes (monetization goals), and Proprietary terms (your brand name). When inputting these, you must separate each exact-match phrase with a comma so the system registers it as a distinct tag. Skool's algorithm favors clarity and repetition, so ensuring your highest-value tags from this matrix are also repeated in your group title and short description is the ultimate lever for ranking number one internally.