Project
Audience Builder AI Agent
An AI-powered agent that converts natural language descriptions into runnable audience segments, dramatically reducing manual configuration time.
ReactTypeScriptPythonAIRAGLLM
Overview
Built an AI Agent for Bluecore's Audience Builder that allows marketing teams to describe their target audience in plain English and have it automatically converted into a fully configured, runnable audience segment in the UI.
How It Works
- Natural language input is processed through an LLM pipeline
- A self-improving RAG database initialized with seed data provides contextual accuracy
- The agent engine service runs with its own auth layer and is exposed via a dedicated URL
- Results are rendered directly in the Audience Builder UI as ready-to-use segments
Technical Architecture
- Frontend: React + TypeScript with real-time streaming of agent reasoning
- Agent Engine: Python-based service with REST API
- RAG Database: Self-improving vector database that learns from user corrections
- Auth: Dedicated auth layer for the agent service
Impact
Reduced audience configuration time from hours to seconds. The AI Agent now handles 40%+ of all audience creation requests, with continuous accuracy improvement through the RAG feedback loop.