OpenAI publishes the primary product and developer documentation for ChatGPT, Codex, Site Tools, workspace agents, the Agents API and ChatGPT advertising.
Description is limited to products documented on official OpenAI pages; image comes from the official GitHub organization. Checked September 19, 2026.
WebMCP 101
ChatGPT Site Tools expose a subset of WebMCP, so support must be checked against OpenAI's documented surface rather than assumed from the draft.
WebMCP 101
Site Tools depend on the current page, account and model, and the user remains in control when actions need review.
Agent-led growth 101
ChatGPT agent combines research and action, moving the assistant from answering questions toward completing multi-step tasks with user oversight.
Agent-led growth 101
ACP gives merchants and agents a shared transaction contract so discovery can become checkout without handing the entire customer relationship to one marketplace.
Agent-led growth 101
ChatGPT shopping turns product answers into a purchase surface, making feed quality, merchant terms and checkout compatibility part of agent distribution.
Personal assistants 101
Useful personalization requires persistent context plus controls to inspect, remove, disable and separate what the assistant remembers.
Personal assistants 101
A personal assistant becomes proactive when work can run later, but recurring execution needs visible schedules, notifications and easy cancellation.
Personal assistants 101
Computer use lets an assistant act through existing websites, but confirmations, takeover and task boundaries remain central to safe completion.
ChatGPT ads 101
OpenAI frames ads as a financing and discovery layer that must remain clearly labeled and separate from the model's answer.
ChatGPT ads 101
The basics page is the product contract: eligibility, placements, labeling, controls and the conditions under which an ad can appear.
ChatGPT ads 101
A sponsored agent is an interactive commercial experience, not a conventional display unit, so the useful action and disclosure both matter.
ChatGPT ads 101
OpenAI is expanding buying models and formats as the ad product matures, which makes current unit and optimization assumptions explicitly temporary.
ChatGPT ads 101
Availability varies by market, account and rollout stage, so access should be verified before a media plan assumes the surface exists.
ChatGPT ads 101
Campaign setup establishes objective, audience, budget and delivery before creative; those choices determine what the system can optimize.
ChatGPT ads 101
Creative must make one useful commercial next step clear while meeting format, landing-page and policy requirements.
ChatGPT ads 101
Context hints describe the situations where an offer is useful; they are not a hidden keyword list or permission to influence the answer.
ChatGPT ads 101
Conversion optimization only becomes meaningful when the event is reliable, sufficiently frequent and connected to the business outcome the campaign should pursue.
ChatGPT ads 101
Ads Manager reports delivery and attributed outcomes under its own definitions; totals are not automatically interchangeable with analytics or backend revenue.
ChatGPT ads 101
A useful conversion setup has a stable event, deduplication, consent and a window that matches the buying cycle.
ChatGPT ads 101
Ad review and destination understanding can depend on crawler access; blocking the wrong bot can break delivery without saying anything about organic inclusion.
ChatGPT ads 101
Diagnose approval, delivery, tracking and destination problems separately rather than treating every zero as a targeting failure.
Managed agents 101
OpenAI's Agents API exposes managed cloud agents powered by the Codex harness, with long-running sessions, environments and orchestration behind one API.
Managed agents 101
Workspace agents package repeatable, connected workflows for teams and run them in the cloud through ChatGPT's shared work surface.
Managed agents 101
A managed team agent combines instructions, knowledge, tools, publishing controls and repeatable runs inside a shared workspace.
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