The tutorial demonstrates how to create a custom Hacker News summary app using AI agents, workflows, and Inngest. The app is designed to periodically search for relevant stories based on user-defined topics and questions, generate embeddings of the content, and send an email summary. The app's architecture consists of three main components: a PostgreSQL database with pgvector extension, an indexer cron job that fetches new Hacker News stories, and a full-stack Next.js web app that hosts the UI and backend logic. Inngest orchestrates the workflow, which includes two AI agents: a Search Agent that uses tools to extract relevant information from the vector database, and a Summarizer Agent that summarizes the search results. The app can be deployed on Render and extended with additional features.