This is part of our series sharing internal examples of how OpenAI is using its own technology and APIs. These tools are being used internally, at OpenAI, and are shared here as illustrative examples of how frontier AI is supporting use cases across our teams.

Ultrafast is a high-speed mode in Codex, and for engineers at OpenAI, it’s become the default for incident response. When something breaks, engineers often don’t have time to wait minutes for an answer while the issue compounds. With Ultrafast, they can investigate multiple potential causes at once and get answers without splitting their attention.

Aaron Friel, Member of the Technical Staff at OpenAI, is usually the one running point on an incident. He spins up a Slack channel for incident response and then points Codex at the problem, asking Codex to monitor, investigate, and answer any questions as they come in. “In any incident, there are usually many hops along the way of what could have gone wrong, and finding the right needle in the right haystack is really the chief job of the people on that channel,” he says. “Using Ultrafast, I’m able to essentially search all of those haystacks at the same time, and respond to incidents much faster.”

AJ Trbojevic, Member of the Technical Staff and a Datacenter Security Architect, says investigations into security issues used to take an hour or two to pull structured and unstructured data together, normalize it, and provide context to make a decision. “Now that happens in 10 to 15 minutes,” he says.

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