Build an AI Agent in 30 Minutes π₯ OpenAI Agent Builder
summary
Builds an AI agent in 30 minutes using OpenAI Agent Builder, loads an App Store transparency PDF into a vector database, wires a classifier node to separate data retrieval and analysis paths, adds guardrails, web search and a custom widget output, and runs the built-in evaluator. The flow returns 2024 App Store apps ~7.7M and 2023 ~6,890,000 via GPT-5.5, lets you publish to API or download working code and an SDK.
AI-written summary Β· about
chapters (15)
- 0:00Introduction
- 1:05What is OpenAI Agent Builder
- 3:13Simple AI agent workflow
- 6:21File search and vector DB
- 8:07Guardrails for data safety
- 9:32Classifying user requests
- 13:22Data retrieval agents
- 14:24Custom widget design
- 18:15Web search tool
- 20:21Testing agent workflow
- 21:05Data retrieval flow
- 23:11Analysis flow with web search
- 25:42MCP integrations and features
- 27:05Summary and next steps
- 28:30Q&A
