OpenAI Tutorials

Learn how to use OpenAI’s Decisions API to classify inputs, score outcomes, route requests, and make structured decisions from text and images.

Follow this OpenAI Agents API Computer Use tutorial to build a Python QA agent that tests a checkout in a hosted browser and retests a fix in the same session.

Build an AI incident response agent with GPT-6.1 Sol, the OpenAI Agents API, and a hosted sandbox to investigate incidents, run checks, and generate structured reports.

Learn how to build a secure AI financial analyst with an OpenAI-hosted sandbox, from uploading financial data and running agent-driven analysis to generating and downloading reports, charts, and supporting data files.

Learn how to use the GPT-6 Sol API in Python. Build a codebase migration agent with repository tools, Structured Outputs, GPT-6 Luna triage, steering, and pytest.

Build and run a cloud agent with the OpenAI Agents API that can analyze files, execute code, verify results, and return finished artifacts from a single request.

Learn how to use OpenAI’s gpt-live-transcribe API to stream microphone audio, generate multilingual live captions, improve domain-specific accuracy, and balance latency against transcription quality.

Build, analyze, visualize, train, evaluate, report, and deploy a customer churn prediction model entirely in ChatGPT Work with GPT-5.6. No setup, no installation, all in your browser.

Learn how OpenAI's gpt-realtime-2, gpt-realtime-translate, and gpt-realtime-whisper differ, then test each one with working Python WebSocket code.

Learn how to build an OpenAI agent app that runs inside Modal Sandboxes, works with files, executes code, and returns results in this hands-on Python tutorial.

Master OpenAI's Codex CLI to automate data workflows. Learn to conduct EDA, build Python ETL pipelines, and generate tests directly from your local terminal.

Learn how to use GPT-5.4 computer use to build a live news dashboard that automatically gathers and summarizes news.