From Draft to Publication: Setting Up Human Approval for AI Agent Content

1. Separate drafting, review, and publication approval

Separate three tasks: preparing the draft, reviewing its content, and authorizing publication. One person may hold several roles, but the actions remain distinct. “Read” does not mean “fact-checked,” and an approved outline does not authorize publication.

Appoint one final decision-maker to collect feedback and determine whether publication requirements are met. Assign disputed claims to an appropriate reviewer: product capabilities, for example, need someone with current documentation. Do not make AI the final authority on its own draft.

Define reasons for returning content: unsupported features, missing sources, omitted limitations, or altered translation meaning. If the decision-maker is unavailable, keep the draft unpublished. Silence, an expired internal deadline, or the agent's confident tone must not count as approval.

2. Give the agent an editorial brief and factual boundaries

Specify the reader's question, audience, format, language, and intended next step. Separately list verified facts, permitted sources, and prohibited claims. Replace “make it persuasive” with a concrete boundary: explain the review process without promising unsupported outcomes.

Distinguish source purposes. Official product documentation can support capability claims; external reporting can support the event it describes, not your service's features. A link alone proves nothing: check that its content supports the exact wording, including material qualifications.

Ask the agent to flag gaps rather than guess. Request a draft claim list containing wording, source, and unresolved questions. This is a working-document requirement, not a guarantee of completeness. Reviewers must still look for unsupported statements in the text.

3. Approve a specific version with a clear status

Use distinct statuses: “draft,” “under review,” “changes required,” “approved for publication,” and “published.” Tie each to a human action. Submission should include sources; approval should mean the responsible person reviewed the final version and resolved all mandatory comments.

For each version, retain the text, modification date, responsible person, and review outcome in a shared document or editorial system. This is a process recommendation, not a claim that AIROBO includes a built-in approval workflow.

Do not silently edit approved content. New promises, numbers, sources, headlines, or translations require renewed review of affected material. Even small changes matter: “helps prepare” differs from “performs independently.” Before publication, compare the release with the approved version.

4. Check claims, limitations, and every language version

First check names, dates, numbers, links, and capabilities. Then examine promises. Words such as “guarantees,” “automatically,” and “error-free” need their own supporting evidence. Plausible prose or a source supporting a neighboring claim is not enough.

Review each language version separately. Compare terminology, negations, conditions, and certainty. If the original says an assistant helps prepare content, the translation must not imply independent execution. Preserve exact source URLs and technical identifiers.

Keep product capabilities separate from external conditions. Where applicable, check model-provider restrictions against current terms, and assess connectivity and resource availability separately. None establishes AIROBO capabilities. Editorial judgments, assessment of material rights, and publication approval remain human responsibilities.

5. Test content preparation with your own material

Use real editorial material without publishing it. The verified basis for using AIROBO is that AI roles work with supplied context and assist with work tasks; accountable decisions remain human. This does not establish automatic approval, publication blocking, or independent article publishing.

Give the selected AI role a short brief, verified product information, and wording restrictions. Request an outline and a separate list of questions the context cannot answer. Do not request verification through inaccessible sources or treat a source mention as proof it was checked.

Manually compare the response with your inputs. Check for invented features or promises, lost limitations, and unverified details presented as facts. Record discrepancies and refine the brief. This assesses one response; it proves neither guaranteed future accuracy nor productivity gains.

6. Return specific feedback and verify publication

State the problem and correction criterion. Replace “be more accurate” with “Remove independent publishing: the supplied information supports preparation assistance only.” Identify who must provide missing information. Do not ask the agent to invent a plausible substitute.

After revisions, check affected passages and related headlines, introductions, conclusions, and FAQs. An unsupported promise may disappear from a paragraph but remain in a short answer. Send substantive source revisions to translation reviewers so language versions stay aligned.

Before publication, also check captions, images, and links. Afterwards, compare the reader-facing page with the approved content. If an error appears, determine its scope, correct affected versions, and record why the change was made. A correction log supports traceability but cannot replace initial review.

Summary

Effective approval connects each decision to a person, a specific version, and a clear basis. The agent assists with preparation and structure; the editor checks content and authorizes publication. One document can suffice if statuses, comments, and final approval are distinguishable.

Test the process on one article, then refine responsibilities based on discrepancies. Reviewer numbers alone do not measure approval quality: what matters is which claims were checked and whether the published version matches the approved text.