OpenAI Codex workflow

Turn a Codex explainer into a reviewable URL before context disappears.

Codex is good at producing concise implementation context, but the output needs a durable place to live. Explainers.fyi accepts the generated HTML and returns a stable page for reviewers and product teammates.

Use it after a focused implementation run

When Codex finishes a code slice, an explainer can give non-implementers the why, what changed, and how to inspect the result without opening the full workspace.

  • Publish release notes, architecture summaries, or feature walkthroughs as HTML.
  • Link the URL from the PR, project tracker, or handoff note.
  • Keep technical detail available without forcing every reader into source files.

Use direct API publishing for automation

If your Codex workflow can write an HTML file and run curl, it can publish directly to Explainers.fyi with a bearer key.

  • Read the quickstart for the exact multipart upload request.
  • Store the returned URL in the automation handoff or task comment.
  • Handle the sanitized flag so operators know whether the service modified the HTML.

Keep claims grounded

Do not make the explainer sound like a customer case study unless it is one. The strongest Codex explainers are concrete: what file, what behavior, which audience, and which next action.

  • Prefer specific implementation facts over generic AI productivity language.
  • Use first-party examples as a pattern for audience and artifact framing.
  • Avoid invented metrics, logos, testimonials, or customer outcomes.