AI. Rico AI now executes paywall experiments autonomously

RevenueCat has upgraded Rico, its AI-powered assistant, to move beyond advisory capabilities and now execute monetization workflows directly. Previously, Rico could analyze app business metrics and suggest optimization strategies, but required users to manually implement changes through the dashboard. The new version maintains a collaborative approach by seeking user approval at each step, but dramatically reduces friction by handling the actual creation of paywalls, offerings, packages, and test configurations. Users can now authorize Rico to build a complete paywall experiment from scratch, including setting up the necessary infrastructure and launching a running test, all without opening the RevenueCat dashboard.

For mobile studios, this shift represents a significant productivity gain in the monetization workflow. The ability to delegate paywall experimentation to an AI agent that understands your app's business context means faster iteration cycles and reduced operational overhead. By maintaining checkpoints for user approval rather than full automation, RevenueCat balances efficiency with control, allowing teams to maintain oversight while eliminating repetitive configuration tasks. This approach could accelerate A/B testing cycles for subscription strategies and enable smaller teams to manage complex monetization experiments that previously required more hands-on dashboard work.