There is a big gap in the current AI agent stack. Most agents today are reactive. User asks something = agent responds User clicks something = system reacts But the systems that actually feel magical predict what users will do before they do it. TikTok does this. Netflix does this. They run behavioral models trained on massive interaction data. The challenge is that those models live inside walled gardens. Recently saw a project trying to tackle this outside the big platforms. It’s called ATHENA (by Markopolo) and it was trained on behavioral data across hundreds of independent businesses. Instead of predicting text tokens it predicts user actions. Clicks scroll patterns hesitation behavior comparison loops Apparently the model can predict the next action correctly around 73% of the time , and runs fast enough for real time systems. If behavioral prediction becomes widely available, it could end up being the missing layer for AI agents. Curious if anyone here is building products around behavioral prediction instead of just automation. submitted by /u/Flaky_Site_4660
Originally posted by u/Flaky_Site_4660 on r/ArtificialInteligence