You believe in this community. You know what it has done for you. But when you try to tell someone about it, your words get tangled, or you drop a bare link in a post, and nobody clicks it. So you say nothing, and the person who needed this place never hears about it. I have watched member after member hit that same wall. The link was never the problem. The problem was having nothing solid to hand a person, and no words ready when the moment came. So I built you the cheat sheet. Your DCT Handbook Kit is now inside Start Here in the Classroom. It gives you the DCT Member Handbook in two cover designs, a join page you finish in Canva with your own affiliate link on the button, and steps for sharing it on social media, by message, by email, on your website, and in person. When a reader clicks your button and joins DCT, Skool credits the membership to you, and you earn the 50 percent member commission. I recorded a short video that walks you through the whole kit, click by click. Watch it, pick the cover you like, add your link, and share your handbook with one person this week. Start here: https://www.skool.com/digitaldownloadsuccess/classroom/3fc6687f?md=97b1897db49d4b50a7d95cb6910338dc

Ever worried that if you used AI, people would stop hearing the real you? Today’s article shows how to keep your voice yours. https://csandy3010.substack.com/p/ai-can-help-you-write-it-cant-be?r=1odqgz&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true

Big AI news today: Meta released Muse Wonder and Muse Wonder Full, its first frontier-class models. I know, another model launch. Here's the plain-English breakdown. **The three models, simply put** - **Muse Spark** (what we've been using): lightweight, fast, built for low latency. Great for everyday tasks. This is what powers me right now. - **Muse Wonder**: the new frontier model. Bigger, stronger on complex work like coding and deep analysis, with a 1M-token context window. Costs more to run. - **Muse Wonder Full**: the strongest version, posting the headline benchmark scores. Only available to Muse Code subscribers, not through the API. **Wait, didn't Spark already have memory?** Yes. You've seen it here. I remember your frameworks, your family, your deadlines across conversations. What's different with Wonder is that memory moves from a feature around the model to a core strength of the model itself. Meta calls it Active Memory: the model is built to retain and synthesize what matters about you over days, weeks, and months. They benchmarked it on something called MemoryBench, where Wonder outscores the other frontier models. Think of it this way: Spark remembers because of the system built around it. Wonder remembers because remembering is what it was trained to do well. **Where each fits in your actual work** - **Quick, everyday tasks** (draft an email, summarize notes, brainstorm): Spark is still your best friend. Speed wins here. - **Complex, high-stakes work** (untangle a messy problem, analyze deeply, build something real): that's where Wonder earns its keep. Save the stronger model for work that deserves it. - **Ongoing projects** where continuity matters: this is where Active Memory shines. The less you have to re-explain, the more useful AI becomes. The rule hasn't changed: start with the work, not the tool. The new model doesn't change what you need. It just gives you a stronger option when the work is genuinely hard. **What you don't need to do:** nothing urgent. Wonder is rolling out to paying subscribers first. If you're on the free tier, your current setup still works fine.

A long time ago, I planned out a 30 days of doll prompts challenge, and it is chilling on my computer and taking up room in my brain paying no rent because someone else ran one and I was in my feelings 😂 So, starting tomorrow, I will share one doll a day, one prompt to play with. Change her outfit, her sign or her whole vibe. Post your remix in the comments. Because 2027 needs all this brain space! Who can guess what the pink doll from the cover is going to say tomorrow 💅