Use Codex to Check Product Announcements Against Documentation

Product announcements often grow stronger as they pass from documentation to marketing copy. “Supports a reviewed draft workflow” becomes “automates publishing,” and a feature available in one context becomes “works everywhere.” Codex can help catch that drift by comparing each announcement claim with the documentation that is supposed to support it.

This is a documentation review task, not a request to infer product behavior from a confident sentence. The output should be a traceable claim map: what the draft says, what the source establishes, and which revision would make the statement accurate.

Gather the draft and its intended authority

Provide the announcement, the current product documentation, and any approved launch facts. Identify which source is authoritative for availability, limits, and terminology. If the docs are still a proposal, label them as such.

Do not assume that a source called “documentation” is automatically current. Check its version, owner, and relationship to the release. A public help page, an internal design note, and a marketing brief serve different purposes.

OpenAI's AGENTS.md guide explains how repository guidance can provide consistent context for Codex. If your documentation lives beside the product, use that guidance to tell the agent which materials are reference sources and which output files may be edited.

For a public announcement, the SaaS content strategy guide offers a useful reminder: the story should explain a real user task rather than simply translate technical nouns into promotional language.

Break the copy into testable claims

Ask Codex to identify factual claims one by one. A single sentence may contain several: the feature exists, it is available to the reader, it works on a named platform, and it produces a particular outcome. Each needs support.

A hypothetical sentence such as “Connect any assistant and publish to every network instantly” contains broad compatibility, destination, and timing promises. Documentation of one MCP client and a reviewed publication action would not support that wording.

Use this prompt:

Compare this announcement with the supplied current documentation. Extract material claims about capability, availability, limits, timing, and outcomes. For each, cite the source passage that supports it or identify the missing evidence. Propose the smallest accurate wording change. Do not infer undocumented behavior from a feature name.

OpenAI's prompt engineering documentation supports clear instructions and relevant context. The important context here is the exact source material, not a general description of what the company hopes to offer.

Classify the mismatch before editing

Useful categories include unsupported claim, missing condition, outdated terminology, ambiguous scope, and source conflict. These categories point to different fixes. A missing condition often needs a short qualification; a source conflict may require an owner decision before writing can proceed.

Suppose documentation describes a tool that prepares a draft and returns an approval link for a later action. If the announcement says the tool has already published the post, the error is a state mismatch. Replacing “published” with “prepared for review” may solve it without rewriting the whole announcement.

A different mismatch occurs when the source describes a capability for eligible paid accounts but the copy invites every visitor to use it immediately. That is an access condition, not a wording preference. The call to action may need to point to current pricing and eligibility.

Keep stylistic feedback separate from factual findings. Otherwise a reviewer may spend time debating an adjective while missing a claim that changes the reader's expectation of the product.

Inspect the source passage, not only the citation

A citation can be technically valid and still fail to support the sentence. Open the relevant passage and read the surrounding conditions. A heading about “automation” does not establish that every step is autonomous. An example is not necessarily a complete list of supported destinations.

Ask Codex to preserve the important qualifier when proposing a revision. If the source says a feature depends on an approved scope, the revised claim should not erase that condition. If the source is silent on a platform, the assistant should not fill the gap from another product's documentation.

For Caroush MCP announcements, use the Caroush client guides and current tool catalog. The fact that a client generally supports MCP does not prove its exact Caroush connection has been verified. Likewise, a documented endpoint is not proof of current successful production access.

This is where a narrow review is valuable: it helps the team state the supported workflow plainly without expanding it into a promise the sources never made.

Revise the claim while preserving the useful point

The best correction is often specific rather than timid. “Prepare a social draft from a documented MCP client and review the next action in Caroush” tells the reader more than “AI may help your workflow.” Accuracy does not require empty caution.

Keep the reason the feature matters. If the draft was trying to explain fewer manual context switches, show the actual sequence that supports that benefit. Avoid substituting an unmeasured time-saving claim simply because the original broad promise was removed.

Use a concrete example with clearly hypothetical inputs. Describe a writer bringing an approved brief, requesting a draft, checking the result, and completing the required review. Do not present a made-up customer story or invented performance figure as evidence.

The social media automation page can provide a product-level destination, while a longer article or guide can explain conditions that do not fit in the announcement itself.

Track the review as a small evidence record

Keep the original claim, the source, the finding, the revised wording, and the review decision. This record is useful when the announcement is adapted into a caption, carousel, email, and landing-page section. Without it, each adaptation can reintroduce the same exaggeration.

A factual reviewer should approve the corrected meaning. An editor can then improve flow while preserving that meaning. If a later edit changes a claim again, it should return to factual review rather than being treated as a harmless style adjustment.

Use the approval workflow to define this handoff. The point is not to add a meeting for every sentence; it is to make consequential claim changes visible.

Do not treat the assistant's “all claims verified” summary as sufficient evidence. Inspect a representative set and every high-consequence statement yourself. Automated review can miss a subtle scope change or rely on the wrong source version.

Pay attention to the difference between a capability and its default behavior. Documentation may say a user can enable an option, while the announcement implies that everyone receives it automatically. The correction should tell the reader whether they need to choose a setting, meet an access condition, or wait for an announced release. A brief walkthrough by the product owner can resolve this gap more reliably than asking an assistant to infer defaults from several loosely related pages.

Reuse the approved meaning across formats

Once the claim map is accepted, create channel-specific versions from the same approved facts. A short post may omit detail, but it must not reverse a condition or imply a broader audience. A carousel can explain the sequence more fully without introducing new capabilities.

Caroush's content generation tools can support those adaptations. Keep the approved source note nearby so the production step does not become another round of factual invention.

The final announcement should let a reader form a realistic expectation: what the feature does, who can use it, what remains under their control, and where to learn more. Codex helps check the documentation trail, while the team owns the public promise.