Synthetic Agent Lab

Synthetic Agent Lab is an AI-powered simulation platform for testing customer strategy decisions before launch. Teams can define a scenario (pricing, campaign, product launch, retention, competitor response), generate synthetic customer/persona and market context, and run a multi-agent simulation to see likely reactions and tradeoffs. Key features: - Workflow-based scenario setup (pricing shift, campaign resonance, product launch, etc.) - Ontology and graph generation from prompts, files, and links - Synthetic profile generation for customers, brand, and competitors - Step-by-step simulation runtime with streamed outputs - LLM-driven agent decisions and LLM-led metric synthesis - Admin evaluation endpoints for ontology quality checks - FastAPI backend + Vite/React UI, containerized with Docker and Cloud Run deployment support Goal: - Provide directional, forward-looking decision support (not deterministic prediction) so teams can compare options faster and reduce strategy risk.