MCP-Powered Agentic Voice Framework
Agents are becoming the de-facto framework in which we orchestrate various, often specialized, LLMs applications to work with one another. M
Research Layer
Focused guides, prompts, and workflows with a platform-specific visual system.
Agents are becoming the de-facto framework in which we orchestrate various, often specialized, LLMs applications to work with one another. M
This notebook builds an improvement flywheel for an agent. We start with real traces, add human and model feedback, turn that feedback into
When an agentic system fails, the problem is often larger than a single bad response. A handoff may happen too late, a specialist agent may
OpenAI's gpt-image generation models are designed for production-quality visuals and highly controllable creative workflows. They are well-s
Codex models advance the frontier of intelligence and efficiency and our recommended agentic coding model. Follow this guide closely to ensu
Workspace Agents let teams save repeatable work in ChatGPT: instructions, connected context, app actions, approvals, and output format. API
The Responses API is a new way to interact with OpenAI models, designed to be simpler and more flexible than previous APIs. It makes it easy
Codex and the gpt-5.2-codex model (recommended) can be used to implement complex tasks that take significant time to research, design, and i
Practical techniques for steering GPT-5.4 toward polished, production-ready frontend designs.
Using skills and GitHub Actions to optimize Codex workflows in the OpenAI Agents SDK repos.
Use Remote in the ChatGPT mobile app to start, steer, review, and organize engineering work.
Lessons from how Perplexity Computer's voice agent was built with the Realtime API.
Use Codex and Figma to bring real, running interfaces into Figma, refine them, and bring changes back to Codex.
Five stories from developers building agentic products with the Responses API in its first year.
How we preserved private network boundaries while supporting MCP streaming, authentication, and an inspectable client.
Provide more detailed rules for Codex to spot issues and better adhere your conventions during code review.
Function calling lets you connect GPT models to external tools and APIs. Here's how to get started.