# Teach Your Agent When Evergreen Content Needs a New Review [Read the original article]() By Garry · Founder Published: 2026-09-29T20:11:25.500Z Updated: 2026-09-29T20:13:22Z 6 min read Categories: Publishing workflows An evergreen post needs a new review when the facts behind its answer change, even if the audience's underlying question remains useful. ![An ivory display box holds green sprigs and leaves of different sizes, an empty compartment, and one pale blue leaf.]() ## Key takeaways - Product behavior, eligibility, links, screenshots, pricing references, permissions, and platform instructions can expire while the topic remains relevant. - Give it the changed fact and the known terms or records associated with that fact, then ask for a bounded candidate list. - Update the affected fact when the underlying explanation remains useful, and reconsider the whole piece when the change alters its central answer. An evergreen post needs a new review when the facts behind its answer change, even if the audience's underlying question remains useful. An AI agent can help find those dependencies, but it needs explicit expiry triggers and current source records rather than a general instruction to keep the library fresh. The purpose is selective maintenance. Rewriting every old post wastes attention, while automatically reusing a once-approved caption can repeat an outdated offer or instruction. A dependency-based review focuses effort on the content affected by a real change. ## Which parts of evergreen content can expire? Product behavior, eligibility, links, screenshots, pricing references, permissions, and platform instructions can expire while the topic remains relevant. Record the changing facts separately from the durable reader question. For a fictional appointment service, “how to prepare for a consultation” may remain useful for years. A screenshot showing an old booking form or a caption promising a retired cancellation window may not. The maintenance decision should identify the affected detail rather than declaring the whole subject obsolete. Use the [evergreen content guide]() to organize the larger library. Add agent-readable review triggers such as a changed product version, a revised help page, or an expired campaign condition. Each trigger should point to a fact owner or source that can resolve the question. [Google's helpful-content guidance]() emphasizes usefulness, accuracy, and original value. It does not reward a superficial date change as a substitute for maintenance. Review whether the answer still helps the reader complete the task, not merely whether the title looks recent. ## How should the agent find potentially affected posts? Give it the changed fact and the known terms or records associated with that fact, then ask for a bounded candidate list. Each candidate should include the relevant passage and a reason it may depend on the change. Caroush documents list\_posts and search\_posts for saved content in the authorized workspace. Read the [tool catalog]() for search fields, pagination, and date semantics. A search over saved titles and briefs is not a guaranteed full-text audit of every public platform post or every image. Supplement saved reads with your own approved content inventory where needed. A phrase embedded in a graphic may not appear in the searchable title. A platform-native post published outside Caroush may not be represented in the same records. State the coverage rather than describing a partial search as a complete library review. The [content audit guide]() can supply the broader inventory process. The agent's contribution is to narrow the review and explain why an item belongs on the list, not to claim that a search result has already been corrected. ## How do you distinguish an update from a rewrite? Update the affected fact when the underlying explanation remains useful, and reconsider the whole piece when the change alters its central answer. Do not regenerate content simply because a maintenance task has started. If the appointment service changes the location of one setting, a screenshot and instruction may need correction. If the service removes the setting entirely, the article or carousel may need a different answer. The reviewer should decide which case applies before asking an agent to draft a replacement. [Anthropic's context-engineering guidance]() describes preserving decisions and current state across longer tasks. Use a concise maintenance record: changed fact, affected content identifiers, selected action, source version, and remaining review. Do not let an old assistant summary become the authority after the product has changed. The [brand voice guide]() still applies to revised copy, but style consistency is secondary to factual correction. A maintenance edit should not introduce a new offer, stronger promise, or invented outcome while trying to sound fresh. ## What should happen before an old post is reused? Check the current source, actual asset, destination, intended account, and the context in which the post will appear. Past approval does not automatically cover a new publication package or a changed product state. A previously approved carousel may refer to “this week,” show outdated interface text, or point to a retired page. Those details can be easy for an agent to miss if it reads only a summary. Inspect the actual selected media and caption together. Use the [social media scheduler]() only after the reuse decision is complete. A recurring need for content is not evidence that a specific old asset is still suitable. Caroush scheduling and publication require browser approval, and TikTok uses the reviewed composer rather than direct MCP publishing. If the connection or required tool is unavailable, the maintenance record still supports a manual review. Do not create a new automated path merely to avoid checking the old content. The task is to preserve a reliable answer for the audience. ## Maintain a small dependency record For each reusable asset, note the few facts most likely to invalidate it. A tutorial may depend on a current interface. A product demonstration may depend on a specific model. A customer quotation may depend on permission scope. An offer post may depend on dates and eligibility. Avoid recording every word as a dependency. The record should be small enough to maintain and specific enough to direct review. If a source changes, the agent should be able to explain which claims need attention without reopening unrelated content. Keep the owner's decision visible. A candidate may be confirmed unaffected, updated, replaced, held, or retired from reuse. These are different outcomes. Do not treat every search match as an error or every old item as a candidate for deletion. ## Test the maintenance process on one changed fact Choose a harmless example such as a revised help-page destination. Ask the agent to find candidate content in the available inventory and explain the coverage limits. Have a person inspect the selected records and identify any missed asset references. Then introduce a more consequential change, such as a removed feature. The assistant should recognize that a simple link replacement may be insufficient. It should ask whether the original answer remains valid and identify the fact owner who can resolve the issue. The exercise should produce a short, reviewable maintenance queue. If it produces dozens of vague rewrite suggestions, tighten the dependency definition. If it confidently reports complete coverage from a limited search, strengthen the reporting requirement. ## Preserve history while keeping current guidance clear An old post can remain part of the business's history even when it should no longer be reused. Distinguish historical context from current instruction in your working library. The agent should not select a retired asset just because it was once a high-performing example. When a correction affects already published content, evaluate the actual destination and available platform actions separately. Deleting a local Caroush record is not a universal way to remove live social posts. Choose the appropriate reviewed correction process for the public content and retain the reason for the decision. A well-maintained evergreen library lets the team reuse thinking without reusing stale assumptions. The agent can help map dependencies and prepare narrow revisions, while people confirm the changed facts and decide how the audience should receive the updated answer. ## Separate a review trigger from an automatic action A changed source should create a review task, not an automatic rewrite or deletion. The change may be irrelevant to a particular post, or the old wording may remain accurate under a narrower context. The agent should present the dependency and let the responsible owner decide what it means. For the appointment service, a new booking interface could leave the general preparation advice intact while invalidating one screenshot. Replacing the whole piece would create unnecessary work and potentially introduce fresh mistakes. A narrow asset update may be enough. Record the decision even when no change is needed. That note prevents the same source update from reopening an already-resolved question during the next review. The maintenance process becomes more efficient when it remembers why an item was confirmed current, rather than only tracking the items that were edited. ## Sources - [Effective context engineering for AI agents \\ Anthropic]() - [Creating Helpful, Reliable, People-First Content \| Google Search Central \| Documentation \| Google for Developers]() - [Caroush public tool catalog]() ## Frequently asked questions ### Which parts of evergreen content can expire? Product behavior, eligibility, links, screenshots, pricing references, permissions, and platform instructions can expire while the topic remains relevant. Record the changing facts separately from the durable reader question. ### How should the agent find potentially affected posts? Give it the changed fact and the known terms or records associated with that fact, then ask for a bounded candidate list. Each candidate should include the relevant passage and a reason it may depend on the change. ### How do you distinguish an update from a rewrite? Update the affected fact when the underlying explanation remains useful, and reconsider the whole piece when the change alters its central answer. Do not regenerate content simply because a maintenance task has started. ### What should happen before an old post is reused? Check the current source, actual asset, destination, intended account, and the context in which the post will appear. Past approval does not automatically cover a new publication package or a changed product state. ## About the author Garry Gaurav Sapkota builds Caroush, a workspace for creating, scheduling, and publishing social content. - [https://x.com/gauravsapkotanp]()