... difficult the exercises felt, what restrictions exist, and how nutrition has looked over the previous days. Then the next recommendation is based on that history instead of starting from zero. The hard part is finding the right balance. Too littlememory makes the product repetitive and generic. Too much poorly structured data can create noise and false precision. For people building AI or health/fitness products: which user signals have actually made personalization meaningfully better in your experience, and which turned ... ... apps where I entered a bunch of information once and then it basically disappeared into a database. the real test is whether that history actually changes what i get recommended next. Comment from Alex Gidirim(@alex_gidirim): The completed-