FinchUI AI Writing Assistant (Z-Blog Plug-in)

FinchUI AI writing assistantIs a practical AI content production plug-in for Z-BlogPHP. The core goal is not to just help you "write an article", but to integrate content generation, content rewriting, mapping, publishing, advertising, site distribution andscheduled taskString it into a complete set of sustainably running workflows. For websites that need to update content for a long time, it solves not the efficiency of a single creation, but the efficiency of the entire content production chain.

The current version supports Volcano Ark (bean bag）、Kimi、DeepSeek, Alibaba Cloud Refining (Thousand Questions), OpenAI (ChatGPT), xAI Grok, Xiaomi MiMo and other AI platforms. You can freely choose models based on budget, speed, writing quality and business direction, or you can assign different models to different batches of tasks in the same backend, taking into account cost control and content quality.

If you want to reduce repetitive writing time and increase the frequency of content updates, while retaining control over article quality, release pace and multi-site distribution, this plug-in will be easier than simply calling AI dialogue tools, and will be more suitable for corporate official websites, industry websites, long-term operations of content sites and website matrix projects.

Applicable groups and industries

This plug-in is suitable for website operators, corporate promoters, foreign trade promoters, industry portal editors, self-media teams and multi-website operation managers who need to stably update content. Whether you are updating corporate news on a daily basis, writing product introductions, organizing industry information, or laying out long-tail SEO content in batches or maintaining multiple columns or multiple sites, it can significantly reduce manual duplication.

Especially suitable for corporate official websites, independent foreign trade stations, B2B product stations, industry information stations, local portal stations, vertical content stations,website navigationStation and multi-site unified operation projects. It is suitable for continuous updates at a single station, and also for operating scenarios that require collaborative release from multiple columns, multiple content types, and multiple sites.

Model access and selection suggestions

If you are just starting to access, it is recommended to start with Volcano Ark or Alibaba Cloud Bailian first, which have relatively lower access barriers and more comprehensive model coverage; if you value the quality of Chinese writing and reasoning performance more, you can continue to introduce DeepSeek, Kimi, Grok or MiMo; if your business is biased towards overseas markets or international content, then consider accessing OpenAI. Combined this way, it often achieves a more practical balance between cost, stability and content quality.

Combined with the latest preset models built into the current project, it is recommended to use doubao-seed-2-0-mini-260215, qwen3.6-flash, mimo-v2-flash or gpt-4o-mini first for daily batch writing. These models are more balanced between speed, cost and stability; If you value the quality of writing, Chinese expression and overall completion more, recommend doubao-seed-2-0-pro-260215, doubao-seed-1-8-251228, deepseek-v4-pro, qwen3.6-plus, qwen3.6-max-preview, grok-4 or mimo-v2-pro; If the task is biased towards complex reasoning, structured analysis, or long-term planning, it is recommended to give priority to deepseek-r1-250528, kimi-k2.6, glm-5.1, or grok-4.20-reasoning.

It should be noted that OpenAI's GPT series models are limited to overseas users or websites for overseas business; if your server is deployed in China, it is not recommended to use this series of models.

In addition to the model itself, many users will also care about "whether this model can be searched online." Current plug-ins have whitelisted online search capabilities managed by model, and the background will clearly distinguish between models that support and do not support online search. The default whitelist currently covers corresponding models for platforms such as Volcano Ark, Kimi, Alibaba Cloud Refining, OpenAI, Grok and Xiaomi MiMo;DeepSeek currently does not provide online search options, so it will not appear in online search settings, which can significantly reduce misselections and mismatches.

If you need to further fine-tune the model output style, the current version also supports customizing the temperature by platform, and distinguishes between "thinking model" and "non-thinking model" settings. Except for official fixed-value models such as Kimi K2.6 and K2.5, which are preferentially processed according to official rules, other platforms can be adjusted manually; the default values have also been reorganized to think 0.7 and non-think 0.4 according to writing scenarios, supporting arbitrary decimal input, and can be restored to default values with one click.

Highlights of new functions after this supplement

The big model platform is more complete

In addition to the original mainstream platforms, the current version has added xAI Grok and Xiaomi MiMo support, and preset a more practical default model list for each platform. Alibaba Cloud Bailian's default models have also been simultaneously updated to a version that is more suitable for the current writing scene. A restore default button has also been added to the model setting area of each platform in the background, allowing you to quickly return to recommended configurations after trying to customize the model.

The background settings are more compact and task management is more efficient

Originally, multiple model platform configuration areas would stretch the background page very long, but now it has been changed to the Tab switching method. The basic settings page and the new task page can be quickly switched by platform, and there is no need to scroll down to find configuration items. For sites with large tasks, although this adjustment does not change the original parameters, it significantly reduces the visual burden on background operations.

The task management page also adds the ability to modify task models in batches. After selecting multiple tasks, you can directly switch models and platforms in a unified manner, which is suitable for batch migration of historical tasks, unified replacement of lower-cost models, or quick adjustment of execution plans when a certain platform is temporarily unavailable.

The library ability is more practical and the picture matching hit rate is higher

In terms of gallery management, in addition to the original Unsplash, Pexels and Volcano Ark AI maps, two more easily accessible free map sources, Pixabay and Openverse, have been added. In this way, even if you don't want to rely entirely on AI to generate pictures, you can first make up for most article photo matching needs through free libraries.

In terms of image matching logic, the current version also optimizes the hit method of local libraries. The system no longer only looks at a single keyword, but will integrate article tags, image keywords returned by AI, and original task input content to match pictures in the local gallery. In particular, it has been revised for the scenario where manually uploading pictures uses Chinese tags., which can match existing material more stably.

Core highlights

Automatic release of website navigation

FinchUI AI Writing Assistant is not only suitable for ordinary article publishing, but also supports automatic content production for website navigation topics. After entering the target URL, the plug-in will use built-in crawling logic to extract the title, description, keywords and main content of the page, and then hand it to the AI to generate a completely structured and SEO website introduction article, reducing the time needed to manually organize the information and write the introduction.

AI creation

The plug-in supports multiple creation modes such as keyword creation, title creation, website navigation, and article rewriting. For sites that need continuous updates, you can generate content in batches around topic terms, industry terms, product terms and long-tail terms; for existing content assets, you can also continue to revitalize old articles through rewriting tasks to maintain site activity and content coverage.

Batch tasks vs. scheduled tasks

Batch tasks are one of the core implementation capabilities of this plug-in. You can add a large number of tasks at one time, and set parameters such as AI model, classification, author, review status, and release time. The release time also supports random allocation of scope, which is more suitable for the update rhythm of real websites. Coupled with the planning task interface, you can combine "batch generation" and "timedly-published"Really string it together to achieve unattended automated updates.

Batch rewriting of articles

After selecting the article rewrite type when adding tasks, you can enter a single article ID, multiple comma-separated IDs, continuous ranges, and mixed formats to create rewrite tasks in batches. When rewriting, AI will try its best to retain the image tags and basic attributes of the article in the original text, and only update the title, body, summary and tags, which is suitable for refreshing old texts, supplementing inclusion, adjusting expression methods, and improving content coverage.

Prompt template

The plug-in supports a complete prompt template system, which not only provides default templates such as keyword creation, article title, website navigation, and article rewriting, but also supports custom templates, import and export templates, and variable substitutions under different task types. This part is very practical for users who need to continuously tune prompt words and precipitate writing methodology. Each template also provides a version with pictures, which is convenient for direct linkage with the automatic picture matching process.

Editor AI Assistant

If you use both FinchUI wangEditor5 Editor, you can also embed the AI assistant button directly in the editor toolbar. It supports 12 auxiliary capabilities such as rewriting, error correction, continuation, summary generation, title optimization, label extraction, Chinese-English translation, tone adjustment, content expansion and content streamlining. It is suitable for continuing to speed up during the manual refinement stage, rather than completely relying on One-time generation.

Library management and automatic drawing

The built-in gallery management system supports obtaining pictures from Unsplash, Pexels, Pixabay, and Openverse, and also supports calling the Volcano Ark Wensheng model to generate AI original pictures. All pictures are stored through the Z-BlogPHP standard attachment system, which is consistent with manual upload logic, and is compatible with the fui_oss object storage plug-in, making it easy to automatically synchronize to cloud storage.

The system can intelligently insert pictures based on article content, tags and image keywords. The background also supports manual uploading, editing tags, batch deleting, viewing sources and counting usage times. For websites that need to establish a dedicated material library, this part can significantly improve the efficiency of drawing and reduce the problem of content homogenization caused by repeated use of drawings.

Advertising management

The plug-in has built-in advertising management functions, which can uniformly maintain text advertisements, custom code advertisements, image advertisements and mixed advertisements, and supports automatic insertion in the task of creating and rewriting articles. You can select multiple insertion locations such as the beginning of the text, the end of the text, or the beginning of the text and the end of the text according to the style of the site. At the same time, you can control the expiration time, replace old advertisements in batches, or remove old advertisements from historical articles, and put content production and advertising in the same set of processes.

Website management and multi-site group sending

If you operate more than one site, the plug-in also supports multi-site management. Through API addresses and keys, you can uniformly access multiple Z-BlogPHP sites in one background, synchronize remote classification and author information, switch corresponding data by site when creating tasks, and achieve cross-site content distribution. Planning tasks also support site parameters and classification parameters, making it convenient for single-station execution, classified execution, and multi-station parallel processing.

The supporting receiver plug-in "FinchUI AI Writing Assistant Multi-website Group Sending Site" can be downloaded from https://app.zblogcn.com/?id=52794 Get it, and you can complete remote publishing through the security key after accessing it.

Instructions for use

• The large model interfaces accessed in plug-ins are essentially paid services. Some platforms will provide test quotas or free quotas for new users, but if you want to use them stably for a long time, you still need to pay according to the charging rules of each platform. Buying a plug-in itself does not mean that you are qualified to call the large model unlimited times and unlimited quantities.
• Manual review is always recommended for AI-generated content. Whether it is creating new articles, automatically rewriting or website navigation content, whether it is ultimately published, whether to adjust titles and summaries, or whether to retain accompanying pictures, it is recommended to conduct secondary editing based on site positioning and business needs.
• The frequency of execution of planned tasks is also recommended to be reasonably controlled. Although excessively high call frequency can increase output speed in a short period of time, it will also bring additional interface costs and server pressure, especially in multi-site parallel task scenarios, it is necessary to control the pace.
• Please abide by relevant laws and regulations, ensure the compliance of content generated, published, and collected and organized, and use it reasonably in accordance with the interface rules, content rules and image copyright rules of different platforms.

How to apply for a large model API Key

• If you are not familiar with how to apply and configure large model API keys, don't worry. We can provide remote assistance to help you complete platform registration, real-name authentication, API Key creation, and parameter filling in the plug-in.
• The usual process is to first select the platform you want to use, complete account registration, real-name authentication, service opening or account recharge according to the platform requirements, then enter the developer background to create an API Key or call the key, and finally fill in the key in the corresponding platform settings area in the plug-in background.
• If you are not sure which platform to choose, or want to give more practical model suggestions based on your site type, budget and server environment, we can also help you determine an access plan together. The plug-in itself is not limited to the few platforms that are currently built-in. As long as there are appropriate API interfaces and clear requirements, it can continue to be expanded in the future.