Learn to build production-ready AI applications on Heroku without the complexity of managing vector databases, infrastructure, or fine-tuning models. Discover how to create a personal assistant that remembers conversations, facts, and uploaded documents using Heroku's simplified AI stack. Master Retrieval Augmented Generation (RAG) implementation with pgvector on Heroku Postgres, and deploy AI inferencing, embeddings, and agents with minimal commands. Explore how to extend your assistant's capabilities by adding MCP servers for code execution and other advanced features. Understand the complete workflow from development to deployment, focusing on building functionality rather than managing boilerplate infrastructure. Gain practical knowledge for creating your own AI-powered applications using Heroku's streamlined approach to AI development.