The core function module provided by AnQi CMS, helping you quickly build an enterprise website
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Fine-tuning of style, replacement of text blocks, and local structural rearrangement of these three types of template modifications can be safely entrusted to AI visual editing; public components, data field values, and caching strategies must be manually reviewed. This article outlines the boundaries of AI-assisted template modification according to the type of modification, provides the operation sequence of backup before modification, rollback after modification, and acceptance of going online, and explains the position of the skill mechanism in batch template tasks.
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Can. The customized content model solves the problem of 'inconsistent field structures in different columns': industry, scale, and achievement figures for case columns, positions, locations, and responsibilities for recruitment columns, each built a model instead of being crammed into article fields. This article provides examples of field splitting for two columns and explains how titles, keywords, and descriptions are automatically generated after modeling, and how static links and sitemaps receive new column inclusion.
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Before direct publishing, the AI-generated title, description, and tags need to be reviewed for four aspects: whether the title and description can be independently cited and have consistent tone, whether the automatic tags fall within the range of the keyword library, whether the automatic image matches the content, and whether the main text passes the sensitive word filtering and content review. AnQiCMS's AI writing capability has been built-in since 2023, and the output still needs to pass the review gate.
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When integrating multiple brand websites into a single backend management system, permission isolation needs to be considered in three layers: site visibility range, user group boundaries of editors and reviewers, and the scope of high-risk operations at the entire site level. AnQiCMS's multi-site management is designed for multi-brand and multi-theme scenarios, where user groups and VIP groups determine accessible content, and operations such as backup and upgrade are not open by default.
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The granularity of visible content for membership groups should not be set to article control from the very beginning. First, define user identity by grouping dimensions, then divide the visible range by columns or content types, and only descend to fields and individual articles when there are indeed commercial differences. The finer the granularity, the higher the maintenance cost and the probability of misrelease, and the recycling bin and draft status are the bottom line means after the match is wrong.
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Comments and replies do not necessarily require captcha: Human verification only solves the problem of whether it is a real person submitting, and cannot prevent spam content sent by real people or bulk submissions through the API. The division of labor should be arranged in three layers, with human verification on the form side to prevent robots, sensitive word filtering and keyword replacement to prevent non-compliant expressions on the content side, limiting batch behaviors on the API side according to the call source and frequency, and finally, a layer of manual review of comments and replies.
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The signal for a separate planning of in-site search is that navigation can no longer bear the search needs: the classification hierarchy has deepened, the types of content have increased, and users come with specific words. There are a total of 14 modules related to collection and search in the AnQiCMS backend, including full-text search, and they are also in the same management capabilities as llms.txt, keyword library, and custom content model. This article explains what scale needs to be separately configured for search, how search terms and keyword libraries should cooperate, and whether custom fields can be included in the search scope.
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Email reminders are for events facing site administrators, and email subscriptions are for regular updates of site content. Both have different links and switches should be separated. This article explains how to converge the reminder scope by event type, how to reduce duplicate notifications by the review process of comments and messages, and how to coordinate with form-side verification measures to avoid disturbing operations and subscription users at the same time.
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The AI skills (Skills) in the background make content planning, SEO analysis, batch operations, site health checks, troubleshooting, template development, and API development into built-in extensible capabilities, which can be independently scheduled and called by the AI Agent. Batch write operations are merged and confirmed in rounds, not one by one. This article explains the scope of skills, the granularity of approval, and which actions should not be entrusted to automatic execution, as well as the fallback preparation after errors.
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Template changes waiting in line for front-end, is a common delivery bottleneck for small and medium-sized enterprise websites. AI visual template editing is suitable for handling changes to local styles, copywriting, and label parameters, which can save a round of communication and scheduling; the risk is concentrated in the invisible scenarios of changes to shared segments and data values. This article gives the types of changes suitable for AI, the boundaries that cannot be changed directly, and the verification sequence after the changes are made.
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The key to aligning comments and orders in the background is not the WeChat public account connection itself, but whether the fields of leaving information, attribution, transaction, and reconciliation are unified. This article sorts out the configuration to be confirmed in the WeChat public account connection, the unified practice of orders and finance, and how the user group and VIP grouping undertake lead attribution.
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To prevent content from being directly removed, it relies on three layers of cooperation: image watermark for the display layer, anti-capture interference code for the copied text, and attribution and anchor text for expression of ownership. This article explains where the three work on each layer, how to write attribution information with ownership, and how to use the all-site replacement tool for unified expression.
