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High Tea is happening in 16 hours
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Welcome to Clief Notes. Here's where to start.
1. Watch the intro video and introduce yourself in the intro post here 2. Start with The Foundation (free course). Concepts, folder architecture, prompting framework. Everything else builds on this. 3. Check in at the bottom of each lesson. Polls, discussion posts, other members working through the same stuff. Use them. 4. When you're ready to build real things, move to Implementation Playbooks (Level 2). When you're ready to build your own tools, Building Your Stack (Level 3). 5. Post your work. Ask questions. Help others when you can. What are you here to build?
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I interviewed a Chief AI officer
NLP Logix was founded in 2011 so if you wanna talk about being in AI before it was cool this company did it. Matt, the Chief AI officer sat down with me and chatted over what matters in the ai age. Check it out! (and go leave a comment on the YouTube video if you have time please!) They are looking at showing up to one of the next High Teas so keep an eye out for that announcement!
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๐Ÿ† WEEKLY COMP #3: THE SPECIALIST ๐Ÿ†
๐Ÿ’ฐ $325 CASH PRIZE ๐Ÿ’ฐ That's a full year of Premium. Win this and your membership pays for itself. ๐Ÿ“‹ THE CHALLENGE You just got hired again. Different client this time. Meet Sarah, a freelance copywriter who's drowning in context-switching. ๐Ÿ“Ž Download the full client brief attached to this post. Short version: She works with three types of clients (SaaS founders, ecommerce brands, local service businesses) and starts from scratch every project. She doesn't need another tool. She needs a system. Your job is to build her a folder-based AI specialist she can drop into any Claude project. The folder IS the deliverable. ๐Ÿ—‚๏ธ THIS WEEK YOU LEARN ICM Up until now, comps have been "build a thing." This week you utilize the methodology taught throughout the community. ๐Ÿง  Folders as architecture. That's it. That's the whole concept this week. Your specialist is a folder with five things: - ๐Ÿ“„ identity.md (who they are) - ๐Ÿ“ rules.md (how they respond) - ๐Ÿ’ฌ examples.md (what good looks like) - ๐Ÿ“š reference/ (source material) - ๐Ÿ“– README.md (how to use it) Drop the folder into a Claude project. Claude becomes the specialist. Reusable. Shareable. Portable. ๐ŸŽฏ PICK YOUR SPECIALIST Don't pick copywriting. That's Sarah's example. Pick something YOU would actually use. A few sparks to get you thinking: - A salary negotiation coach - A meal planner that knows your dietary restrictions - A code reviewer for your stack - A real estate market analyst for your city - A technical recruiter screener - A grant writer for nonprofits in your space The more specific, the better. "Marketing expert" is not a specialist. "B2B email expert for enterprise SaaS targeting CFOs" is. ๐Ÿ’ผ WHY THIS ONE LANDS ON YOUR RESUME Real talk. Winning a comp in a Skool community doesn't get you a job by itself. But shipping a working folder-based AI specialist with a clean README and a public repo? That's a portfolio piece.
What Do You Put In Your Database?
First post here, so be gentle, lol. I'm having a hard time wrapping my perception about what kind of data you can, or should put into yours for your AI memory. I've been messing around with computers and by extension data manipulation, since the 70s. I have a good understanding of how a relationship database runs. But we're not building that kind of ecosystem(?) are we? We can go bigger. Before I dug deeper, I always picture an LLM like Chatgpt, as having this huge massive brain, which held all of the Internet, and when I asked would wave it's virtual hands to say "Here it is". I know that's incorrect. I'm using AI as a research assistant and junior co-writer. I'm doing a non-fiction book what kind of skills you'll need to make money in the next 20 years. I'm doing a ton of digging for trends and possibilities and...all of you have a good idea of what that means, I'm sure. I went into this thinking it would be more like a Wiki compiled form all my research and conclusions but is that what I want? Seems like there so much more than just a glorified book list. I do want to have a folder style system, with the full transcripts, complete articles, or other important documentation that I need. That's doable too. But recently, I wanted to start at least collecting the base data. If I don't start doing that, I'm just digging my hole deeper. So I laid down a basic schema, and then asked GPT to pull me 5-6 highlights that it thought should go into the database. Once I get the workflow built, I pretty sure I'll try to automate it, so as I research, the AI formats and stores any highlighted data I come across. It pulled those six, then another three from our discussions on the first six, and we were in a side chat at the time, the main chat was on markdown files. We got 10 entries from that. So I had nineteen. I haven't done any more, but when I look at what I have, I get this weird vibe that the majority of them aren't on the book subject, but are more of how the LLM views the way I work? That's a poor description of it, I hope it works.
What Do You Put In Your Database?
Im understanding about 5% of what I see here ๐Ÿ˜„
Still, I'm new here. So hopefully in a month or so I will get to 10% Anyone else feeling the same?
Im understanding about 5% of what I see here ๐Ÿ˜„
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Clief Notes
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Jake Van Clief, giving you the Cliff notes on the new AI age.
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