I didn’t expect to end up on a Friday night call, but I’m really glad I joined. Thanks @Jake Van Clief for putting the session on. We spoke to @Joseph Fioramonti about Constellations, not stars in the sky, but dots on a screen. What I love about the idea is how simple the interaction is, people just place dots. However it captures something interesting: human intuition at scale. It feels like a really elegant example of using AI for what it’s actually great at: pattern recognition. Instead of asking AI to interpret everything itself, you let humans provide the signal and then use AI to find the patterns across that data. That balance between human input and machine analysis is fascinating. I imagine something like this being powerful during company rebrands or culture shifts, where employees contribute signals about what feels “true” to the company and what doesn’t. The AI layer could then reveal patterns leadership might never see through traditional surveys or workshops. What would happen if you ran the same exercise across two different enterprise companies with strong brand identities? Would the patterns cluster differently depending on culture, industry, or internal values? Anyway, just wanted to say thanks for sharing it tonight. Its a really interesting idea that showcases putting the right skill sets on the right part of the tasks!

Tell us three things: 1. What you do (job, industry, student, career-changer, whatever) 2. What brought you to Clief Notes 3. One thing you're trying to figure out right now related to computing or AI I'll respond to every single one. And read each other's intros too because the person who's stuck on the same problem as you might already be in this thread. I'll go first I am Jake, I have been working in tech for 15 Years, building with Generative AI for 3 Years straight now! Excited to teach and learn! That's it. Simple, scannable, gives you data on who's joining and what they need, and keeps the feed clear for content that retains people past week one.

I know a lot of you found this community through those posts, so thank you for being here. Here's the thing worth talking about: I didn't hire a team to get there. Most of that content runs through a production system I built with AI that lets one person do the work of 4 to 6 specialists. What used to take 8 to 12 weeks of production now takes 1 to 2. I'm going to start sharing some of the actual methods I use. The real ones, not "use ChatGPT to write captions." I'm talking about the 20% of the workflow that drives 80% of the output. Routing architecture, content batching, how to build a system where AI handles the repetitive parts and you stay focused on the parts that actually need a human brain. A few of you have asked about the AI animation side of things, and I'll keep covering that. But I'm curious: would you also want to see how the full content system works? The strategy layer. How to build an attention engine that runs consistently without burning out or hiring a whole production team? Drop a comment if that's something you'd use. I'll build around what you actually need.