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Owned by Ty E

Some are already building. Some are just ready to start. All of us are women 45+ who know our expertise is the value.

CPD accredited AI, instructional design, and digital strategy training for professionals ready to grow, lead, and stay future ready.

1255 contributions to Digital Clarity Training
2027 Challenge Members: The Proposal Writer for the Muse Summit Cheat Code
⭐️ Challenge members go here to grab the prompt. Be sure to use Muse. https://mbazemoreai.teachable.com/courses/2027-business-team-system-and-31-day-challenge/lectures/67070637 Here is what will happen when you use this prompt. - You copy it into Muse. - Muse will ask you five questions, one at a time. - Then Muse reads your answers back to you. - Next, Muse tests your idea to be sure it leads with value and is only one page long. - Then Muse writes your proposal. - When it is done, you get your finished document as a one-page PDF. - You also get a short email, ready to copy, addressed to the organizer at Contact@TYEDaniels.com. - You attach your PDF. You send it. That part is yours to do. - Then, when you're done, ask Muse to build a proposal writing system that you can use for any proposal.
3 likes • 19h
Yaaaasssss!!! Give them the game bestie!!!!
Good morning! Class is live today at 10 AM ET, and here is what we are getting into.
Today: Your Weekly Content Engine. Yesterday you built a playbook. Today we run the most valuable playbook there is: your weekly content. One topic, one working session, and Muse turns it into a full week: posts, video scripts, an email, and community posts, all in your voice. No more staring at a blank screen every morning. You will walk away with: - The 4-part engine: one topic, your voice, order the pack, batch and bank it - The copy-paste engine prompt plus three more content pack prompts - The voice sample trick that makes everything sound like you - The quick-start guide plus the advanced P.O.W.E.R. edition of every prompt we use Content is not a daily emergency. It is a weekly system. See you at 10. Zoom: https://us06web.zoom.us/j/88264347366?pwd=Z3rNSWjGasqmHr76Zldu0ZSgVA8rdB.1
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Good morning! Class is live today at 10 AM ET, and here is what we are getting into.
My morning at work in my cubicle rocking with Ty🙏🏾
Get in the thread 🙌🏾💯🔥https://www.tiktok.com/t/ZT9ULswCbRFKS-S3mpd/ @Ty E Daniels thank you so much 🙏🏾
1 like • 24h
Aaawww thanks for coming!!!!! Starting today off right!!!
Muse Referral Code
@Ty E Daniels please share your referral code so I can sign-up. I'll catch up later on the video's. Thanks
0 likes • 1d
Check out Muse, your personal AI agent. Redeem my code in Settings within 48 hours of joining and we'll both get 1 billion Muse tokens. Code: S27ZSJ https://muse.ai/join
Meta just dropped its first frontier models. Here's what actually matters for us.
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.
2 likes • 2d
@Jennifer Williams blame @Mesha Bazemore, Certified Ai Consultant . She peer pressured me
1 like • 2d
@Jennifer Williams 🤭🤭🤭
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Ty E Daniels
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@tye-daniels-7271
The MelanAI Muse: Where Culture Meets Code. Certified AI Coach/Consultant, Bringing AI Awareness to the world.

Active 5m ago
Joined Jun 21, 2024
Newport News, VA
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