The core function module provided by AnQi CMS, helping you quickly build an enterprise website
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Content teams often hit a bottleneck in tasks outside of writing: coming up with titles, tags, finding images, and writing summaries. AnQiCMS has been providing AI writing capabilities since April 2023, automatically generating tags, images, and title keyword descriptions (TDK) when creating articles, and has AI Chat and AI skills to handle bulk operations and checks. This article outlines the methods for integrating AI into the content process and the key points for manual review.
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Content security has two aspects: internally preventing the release of违规 information, and externally preventing the bulk collection of original content. AnQiCMS provides sensitive word filtering and keyword replacement, content review process, and built-in anti-collection interference codes in the background;配合 JWT authentication and defense against SQL injection and XSS, forming a complete chain from pre-publication to being crawled. This article provides the configuration sequence and common mistakes.
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Group operations often require the simultaneous maintenance of the main brand, sub-brands, and event sites. AnQiCMS supports the management of multiple independent sites within a single system, where each site can be independently configured for domain names, templates, and content structures; with multi-language site switching and full-page HTML translation, it can cover overseas brands and divide management permissions of different sites according to user groups, reducing the maintenance costs of multi-brand operations.
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The backup range should be determined according to 'any missing data during recovery counts as a failure': only backing up the database will result in the loss of uploaded images and attachments, and only backing up files will result in the loss of article structure, categories, and user data. AnQiCMS supports backing up data including static files together, combining the two types of content into a single operation. The availability of the backup should be determined by recovery drills, not by file size; the backup is a site-wide operation, and permissions should be controlled according to controlled actions.
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AnQiCMS provides AI writing features starting from April 2023, stringing together repetitive content production processes: automatically generating tags when creating articles, automatically assigning images based on the title content, and generating TDK keyword descriptions for the title. It comes with built-in AI Chat and a skill set covering content, SEO, operations, and other domains, which can be arranged and called by an intelligent agent, with humans responsible for选题 and fact verification.
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AI painting, automatic tagging, and AI TDK save the three stages of manual work in the content production process: picture matching, classification, title, and description writing. Content sites with a large volume of postings and a fixed number of human resources have the most direct benefits, while personal blogs and low-frequency sites have limited benefits. Sensitive word filtering and content review at the intake level cannot be omitted, and AnQiCMS configures the generation and review in the same process flow.
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When AI completes the manuscript and simultaneous human review, the quality is controlled by three layers separately: the generation layer is responsible for output and automatic labeling, the rule layer uses sensitive word filtering and keyword replacement to intercept certain issues first, and the manual layer relies on draft preview and pending release status for control. The sequence is that the rule layer takes effect before the manual layer, and humans only deal with judgment issues left by the rule layer, and only mass output can sustain.
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The rows that need to be filtered, reused, and batch imported in the product parameter table should be made into custom fields, and descriptive paragraphs should be left in the rich text of the main text. Fields are responsible for structured data, and templates are responsible for rendering and default handling. When batch importing, the column names of the table header and fields correspond one to one. Whether the parameter table can be understood by the machine depends on whether the division of labor is clear in this case.
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AI mass production of articles needs to be divided into two processes: generation layer and closure layer: automatic tagging, AI painting matching and TDK keyword description belong to the generation layer, improving efficiency; sensitive word filtering and keyword replacement, content review belong to the closure layer, determining risk. Manual review focuses on the four items most likely to cause problems - tag drift, description inconsistent with the text, matching picture not consistent with the theme, and hitting sensitive words but still entering the queue - and fixes the closure before publication, batch scenarios are inspected by category.
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Parameter binding handles the injection risk of input being executed as a statement, sensitive word filtering handles text content violations, and the two have different points of action, judgment criteria, and consequences. AnQiCMS entrusts the query to the GORM and Iris framework layer convergence, and sets up sensitive word filtering, keyword replacement, and review process on the content side, and the two lines cannot be replaced for each other.
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Can the entire site migration be blocked from the backend: The ones that can be blocked are the mass crawling of machines, but not the manual rewriting. AnQiCMS uses anti-crawling interference codes to change the text obtained by the crawling end, uses sensitive word filtering and content review to control the quality of entry, uses robots configuration to define the crawling boundary, and then relies on the time factor left by scheduled publishing as the first release evidence.
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Email reminders should be configured in three layers: the system settings layer places the sending channels and switches, the business module layer places the recipient rules for messages and orders, and the collaboration layer places content publication and pending reminders. AnQiCMS's email reminders, message lists, and order management are all in different layers, and the rules should be placed in the module that triggers them to avoid all notifications being crammed into the same email.
