Case Study
Java Spring BootClaude AIGoHighLevelPostgreSQL
AI Chat System: Full-Stack Conversation & Monetization Engine
A custom-built Java Spring Boot backend powering a fully automated messaging system. Handles fan conversations at scale, maintains persistent cross-platform memory, and executes smart monetization logic, running 24/7 without manual involvement from the creator.
Our Approach
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.
Key Features
- 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.
Results
Full fan conversation management running 24/7 with zero daily manual input
