This cookbook demonstrates a repeatable optimization sprint for a tool-using agent: measure a baseline, change one part of the workflow, and check quality before accepting savings. It uses synthetic e ...

An incident alert opens a Slack thread in #oncall. The agent investigates production telemetry, GitHub pull requests and commits, AWS infrastructure, and similar past incidents. It posts its findings ...

Astra has become very good at translating what I have in mind into gameplay and art direction. I’ve been using it in Codex to build Void Explorer, a space ...

How I used Astra to design a house, refine its everyday details, and explore it through Blender camera tours and an Unreal Engine 5 walkthrough. Author: Thomas Ricouard I started with a simple brief ...

A great image should work on any background. Transparent image assets make it easy to reuse the same visuals across campaigns, websites, presentations, and product catalogs without white boxes or ...

Most people know Codex through the App, Command-Line Interface, or IDE Extension. Those experiences are important, but they are only a few of the ways the same underlying system can be used. The ...

AI agents often need information from external services to complete a task. A procurement agent might check a supplier against a sanctions database, retrieve a current risk report, or use a paid ...

Remote in the ChatGPT mobile app is easy to underestimate. At first glance, it looks like a way to check on a coding chat from your phone. That is useful, but it misses the bigger idea. The real power ...

Workspace Agents let teams save repeatable work in ChatGPT: instructions, connected context, app actions, approvals, and output format. API triggers let another system start that saved workflow when ...

OpenAI models on Amazon Bedrock expose an OpenAI-compatible Responses API surface for production workflows that need text generation, structured outputs, application tools, direct file inputs, ...

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 miss the same signal across many runs, or a review process ...

This notebook builds an improvement flywheel for an agent. We start with real traces, add human and model feedback, turn that feedback into evals, and use the resulting evidence to propose the next ...