AI Application Engineering Journey: From Prompts to Production Systems

This series documents the journey of building real-world AI applications using local LLMs, prompt engineering, structured outputs, memory, RAG, tool calling, workflows, and agents. Instead of focusing on training foundation models, we explore how modern AI products are engineered, integrated, and deployed to solve real-world problems. From basic LLM interaction to production-ready AI systems, each article builds a practical understanding of the AI application layer.