When starting an AI project, the first step is to assess the visibility of the environment. Is the agent able to access complete information at all times? If yes, you have a fully observable setting. If not, it's partially observable. This distinction shapes the entire approach. In 2025, research shows that 63% of successful AI implementations in marketing relied on fully observable environments, leading to a 35% increase in prediction accuracy. Partially observable setups demand more complex algorithms like POMDPs, which add layers of uncertainty. Think of it like driving with a clear windshield versus foggy glasses. You need to know what you're working with before choosing the strategy. This early check saves time, cuts costs, and sharpens focus. Bottom line: understanding your environment upfront prevents wasted effort and boosts ROI. No guesswork, just smart groundwork.