# How to Build ANYTHING with Oz by Warp Source: https://www.youtube.com/watch?v=I9BZRuw5c80 Recap page: https://rapidrecap.app/video/I9BZRuw5c80 Generated: 2026-02-20T22:33:11.43+00:00 --- ## Quick Overview The speaker demonstrates building three functional AI agents—a meta skill creator, a browser automation skill, and a YouTube summarizer—using Oz by Warp, showcasing how the platform orchestrates parallel, cloud-based AI agents to handle research, drafting, and site maintenance tasks, ultimately demonstrating a self-updating AI news monitoring system called AI Pulse. **Key Points:** - The speaker builds three functional Oz agents: a 'skill-creator' meta-skill, a 'browser-automation' skill using Playwright, and a 'youtube-summarizer' skill using yt-dlp. - The AI Pulse project, built using these agents, monitors and publishes AI news, consisting of a Next.js frontend and a Node.js backend API. - The Research Agent runs every 3 hours to POST /research, POST /summarize, and POST /alert if story heat > 8. - The Tweet Draft Agent runs every 6 hours to fetch top stories, generate tweet angles, and store them via API. - The Site Maintenance Agent runs daily to check for broken links, update dependencies, and clean up stories older than 30 days. - Oz allows agents to run in parallel across multiple repositories within a single persistent cloud environment without taxing the local machine. - The entire AI Pulse system, including both the backend API and frontend site, was developed by autonomous coding agents using Oz. ![Screenshot at 0:14: The speaker introduces the problem he solved by building a team of AI agents to handle tasks overnight, setting the stage for the demonstration of Oz's orchestration capabilities.](https://ss.rapidrecap.app/screens/I9BZRuw5c80/00-00-14.jpg) **Context:** The video showcases the capabilities of Oz by Warp, an orchestration platform for cloud-based AI coding agents, by demonstrating the creation and scheduling of several agents to build a complete, self-updating AI news monitoring and publishing system called 'AI Pulse'. The speaker details the project structure, agent configurations, and the recursive nature of using AI agents to build other AI systems. ## Detailed Analysis The presenter introduces Oz by Warp, an orchestration platform for cloud AI agents, emphasizing its ability to run unlimited parallel, programmable, auditable, and steerable agents. The core demonstration involves building a complete AI news monitoring and publishing system named 'AI Pulse' using three main scheduled agents. First, the speaker builds a meta-skill called 'skill-creator' that codifies best practices for creating other Oz skills, including directory structure and YAML frontmatter specifications. Second, he creates a 'browser-automation' skill using Playwright to handle web interactions like logging in, taking screenshots, and scraping dynamic content, explicitly detailing error handling for timeouts and captchas. Third, he builds a 'youtube-summarizer' skill using yt-dlp to extract transcripts and create structured summaries, including top 5 takeaways for videos over 30 minutes. The AI Pulse project itself consists of a Next.js frontend and a Node.js backend API, both developed autonomously by Oz agents. The agent configurations are scheduled: the Research Agent runs every 3 hours to find and summarize new stories; the Tweet Draft Agent runs every 6 hours to generate tweets based on top stories; and the Site Maintenance Agent runs daily to clean up broken links and outdated data. The key benefit highlighted is that these agents run entirely in the cloud across multiple repositories simultaneously without burdening the local machine, allowing the developer to focus only on defining the desired outcome. ### Oz Platform Introduction - Oz is an orchestration platform for cloud agents - Spin up unlimited parallel, programmable, auditable, and fully steerable coding agents - Key features include programming custom automations, starting agents from mobile, tagging agents in Slack, and scaling coding agents off the laptop. ### Skill Creation Demo - Speaker builds three skills: 'skill-creator' (meta-skill) - 'browser-automation' (using Playwright for web interaction) - 'youtube-summarizer' (using yt-dlp for video analysis and structured summaries). ### AI Pulse Project Scope - A self-updating AI news monitoring and publishing system - Project structure includes an 'ai-pulse-api' (Node.js/TypeScript/Express/Prisma) and an 'ai-pulse-site' (Next.js/Tailwind CSS) frontend. ### Agent Configurations (Scheduled) - Research Agent runs every 3 hours (POST /research, /summarize, /alert) - Tweet Draft Agent runs every 6 hours (fetch top stories, generate tweets, store via API) - Site Maintenance Agent runs daily (check links, update dependencies, clean old stories). ### Benefits of Oz - Agents run concurrently in the cloud across multiple repos - Agents are aware of each other's context and code - This enables rapid, autonomous development of complex systems like AI Pulse. ![Screenshot at 0:01: The introductory screen for Oz, highlighting its purpose as an orchestration platform for cloud agents.](https://ss.rapidrecap.app/screens/I9BZRuw5c80/00-00-01.jpg) ![Screenshot at 0:37: The speaker explains that Warp's AI-powered terminal is used by over 700,000 developers, setting context for the demonstration.](https://ss.rapidrecap.app/screens/I9BZRuw5c80/00-00-37.jpg) ![Screenshot at 0:44: A diagram illustrating how Oz agents connect to various inputs \(Cron, Web, CLI, API/SDK, Warp\) and execute tasks.](https://ss.rapidrecap.app/screens/I9BZRuw5c80/00-00-44.jpg) ![Screenshot at 1:15: A slide outlining key capabilities of Oz agents: Local/Remote execution, Interactive/Triggered workflows.](https://ss.rapidrecap.app/screens/I9BZRuw5c80/00-01-15.jpg) ![Screenshot at 3:53: The agent 'skill-creator' generates a detailed YAML frontmatter and comprehensive instructions for building new skills.](https://ss.rapidrecap.app/screens/I9BZRuw5c80/00-03-53.jpg)