AI Chat System Full-Stack Conversation & Monetization Engine

The creator was leaving significant revenue on the table: slow response times, inconsistent follow-ups, no system to recognize returning fans or continue conversations with context. We designed and built a production-grade backend from scratch not a no-code wrapper with a full entity model, JPA repository layer, and dedicated services for every functional domain, integrating with GoHighLevel, Anthropic's Claude API, and a webhook layer to handle the complete messaging lifecycle.

• Custom Java Spring Boot BackendFull entity model with repositories covering fans, conversations, conversation state, PPV offers, purchase history, script progress, vault media, and custom requests.
• Persistent Fan Memory & Cross-Platform ContextFan entity stores profile data, engagement history, and conversation state previous platform conversations retrieved on arrival.
• PPV Offer Engine with Purchase TrackingMulti-query offer management: tracks unpurchased offers, counts total purchases per fan, identifies purchase velocity powers dynamic pricing logic.
• Conversation State MachineConversationStateRepository maintains each fan's position in the flow; ScriptProgressRepository knows which scenario was used and where they left off.
• Claude AI IntegrationAnthropicService connects to Claude's API with full fan context passed in each call so responses remain coherent and contextually aware.