A company is developing a new AI assistant designed to help users with complex, real-world planning tasks, such as organizing a themed party or planning a multi-stop road trip. The development team decides against using existing large-scale text datasets and instead opts to collect training data by having a group of early users interact with a basic version of the assistant. Based on the principles of data collection for fine-tuning, analyze two key advantages of this crowdsourcing approach for this specific application.