@hackproduct9: 🌳 Everyone screenshots the "AI stack" as a giant wall of logos. Then you stare at it and still don't know where to start. So I turned it into a decision tree. 🌱 At the root: your product. First fork — are you feeding the model knowledge, or generating with it? Retrieval on one side, generation on the other. 🔎 Walk down the retrieval branch and it gets concrete: extract the data → embed it → store it in a vector DB. ⚡ Walk down generation: pick a model → decide how to run it → wire it together → prove it actually works. 🧠 You don't learn this stack by memorizing 40 logos. You learn it by knowing which fork you're standing at. 🤖 And that's the same skill that lets you read AI-written code. When an assistant scaffolds a "RAG app," don't just nod along — point at the tree and ask: which branch is this? Is the eval node even there? Why this vector DB and not that one? ✅ Recognize the fork, judge the choice. That's how you go from running AI code to actually reading it. 👉 Which branch should we expand into its own reel next — Retrieval or Generation? #HackProduct #codevisuals #coding #visuals #algorithms
