The new feature functions as a decision-making model that suggests specific revenue-generating moves, such as adjusting product pricing, launching ad campaigns, or refining sales funnels. When an operator selects a recommended action within the Whop dashboard, the system generates a prompt for Whop AI or a preferred agent, utilizing the platform’s API to execute the task directly. This integration allows business owners to bridge the gap between data insights and tangible results without manual intervention.

Ishan Garg, Head of Engineering at Whop, noted that the system is built to marry agentic actions with platform data to unlock value for entrepreneurs. Unlike traditional AI tools that produce text, this system outputs economic actions and tracks their success through ledger activity. This feedback loop enables the model to learn which strategies yield the highest returns for specific business types. During beta testing with over 14,000 users, participants reported a 31.8% increase in combined sales after one month of using the tool, alongside significant growth in unique paying customers and overall transaction counts.