Masterclass: AI Product Architecture for Effective Gen AI Systems

AI product architecture is where design meets intelligence. Unlike traditional systems built on fixed rules, AI products adapt and learn from data—something every PM and tech lead needs to grasp.

The stack is simple: UX layer (chat, dashboards, APIs), application logic (agents, workflows), AI/ML models (LLMs, embeddings, vector DBs), data pipelines, integrations, and governance (security, ethics, guardrails).

Key patterns include RAG vs fine-tuning, agent-based vs hybrid setups, and scaling challenges like latency, cost, and caching. Tools like Dify/Langflow map the flow; Lovable shows how it becomes a real product fast.