Video · Tech With Tim ·
The context window is the single most important thing in how well your AI agent works. It decides how much you pay, how fast it runs, and how accurate your answers are, and most people have no idea what’s inside it or how to look.
VideoTech With Tim
The tutorial shows how to call Jev from Python to make structured AI decisions instead of generating text. It demonstrates classification, scoring, and multi-question support-ticket routing, useful for inexpensive, high-volume automation with confidence-based human review.
VideoTech With Tim
The video builds a complete retrieval-augmented generation (RAG) system in under 50 lines of plain Python, running locally with Ollama, Nomic Embed Text, and Qwen 3 4B. It explains how chunking, embeddings, cosine-similarity search, and context injection let an LLM answer questions from private documents instead of guessing, while outlining production improvements.
VideoTech With Tim
The video tests Reverse Engineer Anything (REA), an AI-connected toolkit that uses reverse-engineering tools to analyze applications and rebuild them. REA recreated MongoDB Compass in 30 minutes for $13, showing that AI can rapidly reproduce complex software while shifting value toward product judgment, usability, and problem selection.