Building an Agentic AI System That Replaces Digital Ad Agencies: Multi-Stage LLM Architecture with Recursive Planning, Multimodal Analysis, and Novel Optimization Strategies

I’ll demonstrate how I built AdRes, a sophisticated agentic AI system that eliminates digital ad agencies through advanced multi-stage Lambda architecture. The demo will showcase our recursive planning system that uses Anthropic Claude 3.5 Sonnet with custom fine-tuned prompts, vector embeddings for campaign similarity matching, and a multimodal creative analysis pipeline using OpenCV and computer vision. I’ll walk through the code that powers our unified context system, agentic workflow with tool selection and self-correction, and real-time campaign optimization engine that processes complex multi-source data analysis.