A new framework called Conservati learns satellite operational constraints interactively from a binary oracle. It targets the gap where thermal limits and power budgets exist in simulators rather than explicit mathematical models. This active constraint acquisition reduces the need for manual specification. Practitioners can now optimize imaging tasks without fully predefined feasibility models.