A tutorial details the construction of a runnable reconstruction of the VideoAgent workflow, focusing on the core agentic pipeline behind video understanding, retrieval, editing, and remaking. The process involves configuring a lightweight environment that works without API keys, defining an intent parser, an agent library, a tool router, a graph planner, and a textual-gradient optimizer that repairs missing dependencies in the execution graph. These planning components are connected to practical video-processing tools, including FFmpeg, Whisper-based transcription, scene detection, keyframe sampling, captioning, cross-modal indexing, retrieval, trimming, beat-synced editing, and final rendering. The tutorial results in a complete multi-agent video system that can answer questions about a video, summarize its content, generate a news-style overview, and produce edited video artifacts from natural-language instructions.