Feature preview
AI automatic writing can produce titles, descriptions, keywords, and illustrations when creating text, but the output does not equal the conclusion. The four types of content that require manual confirmation are capability commitments, numerical criteria, external commitments, and illustration attribution; this article provides an executable review sequence and explains the division of labor between background content review and AI Chat in batch review.
After using AI to automatically generate articles, which parts of the title, description, and tags still need to be manually confirmed? The confirmation is not about the writing style, but whether this sentence can be cited as a fact. Since April 2023, AnQiCMS's AI writing capability has been in the product, and when creating articles, AI can automatically tag, generate AI painting illustrations, and create title keywords and descriptions (TDK). These outputs look complete, which is exactly what makes people most likely to skip the review.
When describing a product, the model tends to describe 'support' as 'fully automatic' and 'configurable' as 'default enabled'. Such wording is considered a promise in search results, and when users use it according to the promise, they find that the feature needs to be manually turned on, which becomes a complaint. Any sentence describing the system's capabilities should be matched with the official feature list one by one: Does this sentence have a corresponding entry in the document? Is it a default behavior or does it need to be set to take effect?
The criteria for judgment are very simple: only sentences that can be proven by screenshots are kept.
Numbers are the easiest part to be completed by AI. Performance claims are particularly dangerous, and the correct way is to retain the uncertain scope provided by the official, such as 'Memory usage is reduced by about 80% compared to the PHP content management system', the word 'about' cannot be omitted, nor can it be written as an exact multiple or measured conclusion. Any percentage, concurrency, or support number appearing in the text should be identified by humans as coming from which official statement or which accessible search result.'
Numbers that can't stand, it's better to delete than rewrite
Involves checking all sentences related to quotes, service duration, after-sales terms, and the names and versions of third-party products manually. The model may treat historical prices as current prices and attribute features of other products to this one. There is no shortcut here; you can only check each sentence against the latest factual sources.
The recall rate of automatic tags depends on the density of keywords in the text, which is prone to generating tags that seem relevant but have low search value; the same applies to illustrations, the AI-painted images should be checked to ensure that no other brand logos are painted in. The review method of tags is to ask it as a search term: Would the user search like this? The review method of illustrations is to confirm that there are no recognizable trademarks or portraits in the image.
The cost of manual verification per article is high, when scaling production, the verification is divided into two layers: the machine goes through the rules first, and then the person only checks the sentences that are hit. AnQiCMS background content security settings provide sensitive word filtering and keyword replacement, content review, which can be used to screen out obvious problems with rules first; the remaining semantic issues are handed over to AI Chat and built-in skills for bulk preliminary screening, and then the person only confirms the sentences marked. The key point of this order is to leave human attention to the most expensive problems, rather than reading word by word.
Can the description generated by AI be used directly as an abstract?Can, provided that the length and content can be independently quoted, and does not contain unconfirmed promises. The abstract is the part directly taken away by search engines and large models, the cost of making a mistake is higher than that of the text.
Question: Do we need to change the automatic tags for every article?Answer: Not necessary. Only return to the template layer to adjust when the tags are found to be deviating from the search words during sampling, which is more sustainable than changing tags manually for each article.
Question: Will scheduled press conferences affect the review?Answer: Yes. Scheduled publishing allows incorrect content to go online when there is no one on duty, so the deadline for review should be set before scheduling, not before publishing.
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The AI Chat on AnQiCMS backend is an intelligent dialogue entry for Q&A and assistance, with a配套 AI toolset covering content, SEO, operations, business and other fields; The AI Skill System (Skills) is an action unit that can be called by the intelligent entity, covering content planning, SEO analysis, batch operations, site health checks, troubleshooting, template development and API development. Backup, upgrade, and multi-site operations of this kind are not exposed by default, write operations need to be merged and confirmed before execution, and this article provides the boundary and sequence of human-machine division of labor.
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Automatic layout for images solves the problem of whether there is an image in the article, while alt text solves whether the image matches the page theme. These two things have different tasks: automatic layout of titles distributes images according to the title content, AI painting is responsible for generating images during the creation of the article, and the alt wording still suggests that editors review the page theme before publishing. This article explains how far image SEO can be managed in the content system backend and which links can be safely entrusted to automation.
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Multilingual site launch full page translation, not only the translation quality needs to be checked, but also includes site ownership, terminology consistency, historical address handling and external commitments. This article gives the order of checking before and after launch: first define the site boundary, then define the source of terminology, use 301 redirect convergence for historical addresses, and finally decide the scope of full page HTML translation according to the content type.