Agent
An AI setup that can do work across steps, tools, files, or systems instead of only answering one prompt.
Useful for repeatable work that needs a path, not a one-off answer.
Plain-English terms for AI, software, products, and public building.
The Decoder supports What Deployed. When the field report mentions agents, APIs, evals, guardrails, or control planes, this page makes the language useful fast.
An AI setup that can do work across steps, tools, files, or systems instead of only answering one prompt.
Useful for repeatable work that needs a path, not a one-off answer.
AI designed to take steps toward a goal instead of only answering a question.
Watch whether it completes useful work cleanly, not whether the demo sounds impressive.
A structured way for one app, service, or model to talk to another.
APIs are how tools exchange data without people copying everything by hand.
A repeatable action that runs with less manual work once the trigger and rules are clear.
Best after the workflow is understood. Automation does not fix a messy process by itself.
OpenAI's chat-based AI product for writing, research, analysis, coding help, files, images, and everyday work.
A front door for general AI work when the task is not tied to one specific app.
Anthropic's AI assistant, often used for writing, analysis, coding, and long-context document work.
Useful when careful reading, longer documents, or editorial polish matter.
OpenAI's coding agent. It can read code, make changes, run builds, and help ship software work.
Turns AI from answers into help changing the actual product.
The amount of information an AI model can keep in view while it works.
If important context falls out, the answer or action can get worse.
The layer where teams manage settings, permissions, visibility, and rules for a system.
As AI tools spread, teams need one place to see and control what is happening.
Tests that check whether an AI system is doing the job well enough.
Without evals, teams guess whether an AI workflow is better, worse, or risky.
A rule, check, or limit that keeps an AI system from doing the wrong thing.
Needed when AI touches customers, money, data, publishing, or operations.
A useful change worth noticing because it may affect what to build, buy, stop, or test next.
The default filter for What Deployed: useful movement, not news noise.