Build AI Apps with Python: Multi-Agent Pipeline — Delegate Specialize Orchestrate | Episode 20

One agent does everything. A team of agents does it better. The supervisor pattern: delegate, specialize, orchestrate. We build a multi-agent system from scratch. A supervisor receives a task and delegates to three specialists — a researcher finds key facts, a writer creates a prose summary, and a reviewer checks quality. Each agent has its own system prompt and role. The supervisor chains them together into a production pipeline that outputs a final report. Student code: https://github.com/GoCelesteAI/build-ai-apps-python/tree/main/episode20 Every keystroke is shown on screen with 3-second pauses so you can follow along at your own pace. What You'll Learn: • Supervisor/worker agent pattern • Specialized agents with focused system prompts • Researcher agent — finds 3 key facts • Writer agent — transforms facts into prose • Reviewer agent — editorial quality check • Sequential delegation pipeline • Output flowing from one agent to the next • Final report assembly Key Takeaways: 1. Each agent has one job and one system prompt — specialization makes agents better 2. The supervisor orchestrates the pipeline — calls each agent in order, passes output forward 3. Output flows through the chain — research becomes summary becomes reviewed report This is Episode 20 of Build AI Apps with Python in Neovim — Phase 4 (AI Agents). Taught by CelesteAI. Like & subscribe for more tutorials! #python #ai #multiagent #agentsystem #supervisorpattern #claudeapi #anthropic #neovim #programming #tutorial #machinelearning #artificialintelligence #coding #pythontutorial #buildaiapps #llm #genai #agentorchestration