Article by: Lian Ran

If someone tells you that video editing can be as easy as "scrolling through your phone," you would likely raise an eyebrow in skepticism.

After all, in our habits, editing often means "high-intensity hand-eye coordination"—either sitting at a desk with the left hand on shortcut keys and the right hand on the mouse; or staring at a small phone screen, searching for functions in layers of menus, cautiously dragging that few millimeters of timeline with your finger.

But the newly launched AI assistant from Jianying is trying to break this stereotype.

Imagine leaning back in your chair, not needing to touch your mouse, just speaking to your phone: "Help me cut these clips into a Vlog and add some cheerful music."

Even when you notice you are missing a transition shot, you don’t need to exit the software to search for images, just say: "Generate a background image here."

This experience of "using your mouth, not your hands" brings us a step closer to the Jarvis that is ready at any time like Tony Stark in "Iron Man."

Over the past year, the competition logic in AI video has shifted from seeing who can "generate better" to who can truly execute a complete set of tasks through an Agent. Simple content generation is no longer a barrier; intelligent agents that can deeply take over professional workflows and accurately execute complex commands are now the new focus in the industry.

Jianying AI Assistant has first proven that voice/natural language interaction can deeply take over the complex workflows of professional software, reconstructing traditional editing GUIs (Graphic User Interfaces) with LUI (Language User Interface). At the same time, another thing is happening: all creativity ultimately converges in Jianying.

For many traditional creators, Jianying is their finishing point for editing; whereas for new AI creators, even if they completed raw footage and raw videos on other software, they would still return to Jianying for fine-tuning and assembly.

This phenomenon of "paths converging" has shown Jianying the opportunity of being "All in One"—previously, in September last year, Jianying upgraded its AI text-to-video function to bridge the last mile from "AI generation" to "fine-tuned editing."

There are many Agents on the market with generative capabilities, but only Jianying can truly achieve "video generation + professional editing + Skill-based execution."

This is not only due to the access to cutting-edge large model capabilities, but also relies on Jianying's years of accumulation of massive functionalities and underlying editing engines. It is this profound tool accumulation that supports a versatile AI creative partner that can not only understand human speech but also flawlessly execute complex editing tasks with multiple Skills in cooperation.

By eliminating the technical barriers brought on by "tool proficiency," Jianying truly brings the competition of content back to the essence of "story" and "creativity."

From "Hand-Eye Coordination" to "Human-Machine Co-Creation"

When you travel and want to shoot a Vlog, you take a flurry of photos of beautiful scenes, and when you finish your trip and open the album—everything goes dark.

This is probably a true reflection of every life-enthusiast who enjoys documenting their life. The dopamine rush when filming turns into a considerable psychological burden when faced with hundreds or thousands of fragmented videos, chaotic background sounds, and uneven frames in the album. The beautiful memories that were meant to be recorded become a heavy "editing debt."

This phenomenon of "素材在相册吃灰" (material gathering dust in the album) essentially stems from the enormous "discouragement threshold" that exists in traditional video editing workflows.

For a long time, video editing has not only been a test of aesthetics but also a drain on physical stamina. Even just wanting to stitch together these travel materials into a simple memoir requires passing through a series of mechanical tasks like selection, rough cutting, timing, and color grading. These high-barrier, repetitive "Dirty Work" have blocked countless individuals who want to express themselves.

Under this traditional nonlinear editing (NLE) logic, the creator's energy is consumed in non-creative tasks—searching for functional entrances in layers of menus, repeatedly trial-and-error in complex parameter panels, or conducting tedious material cleaning.

In that black box known as "editing," it is filled with cumbersome mouse clicks and fingertip drags. As long as it involves fine control over the video stream, creators still cannot bypass the intricate maze made up of tracks and parameters.

With a click of a "light bulb," you can see many features of Jianying AI Assistant | Image source: Geek Park

The existence of these pain points is calling for the emergence of a new paradigm.

The core of Jianying AI Assistant aims to break this complex professional barrier by reconstructing the interaction method. It is no longer just an addition of auxiliary features; it introduces an Agent that upgrades the interaction interface between humans and tools from a "Graphic User Interface (GUI)" to a "Natural Language Dialogue (LUI)", while also implementing an editing Skill library as an industry edge capability.

It acts like a "Skill-based editing hub" that understands technology, allowing users to bypass learning the software operation logic and directly use voice or text commands to call on Jianying's professional multi-track editing capabilities behind the scenes.

Geek Park also experienced this capability of "tools can understand human language."

I asked Jianying AI Assistant to help me edit clips from my travel last year into a vlog (the video is accelerated, actual waiting time around fifty seconds) | Video source: Geek Park

You can see that I simply said, "Help me turn these clips into a vlog," and Jianying AI Assistant completed the tasks of adding background music, intelligent transitions, etc., generating a complete video content. When I wanted to switch to a cheerful style for the music, I just said it to the AI Assistant, and it was switched.

These time-consuming processes that used to fall into the category of "I know how to do it, but I am too lazy to do it" have been compressed into a simple command. Just issuing the command, Jianying AI Assistant can accurately recognize intent, automatically dispatch underlying Skill capabilities, and quickly complete the "tedious tasks" that used to take several minutes.

Connecting scenes through voice typing has also become very convenient (the video is accelerated, actual waiting time around twenty seconds) | Video source: Geek Park

Not only editing videos, but also adding text to videos requires thought; now, Jianying AI Assistant can help me with this step. The video of the little cat was generated directly after I told the AI Assistant in the video that the cat should have a monologue.

The launch of Jianying AI Assistant signifies that editing software is moving from "functional listing" to "intent understanding + Skill execution." Beyond functional entrances, it links the "central nervous system" of Jianying's extensive tool library, truly bringing the competition of content back to the essence of story and creativity.

How can Skill-based Agents take over "Dirty Work"?

Most AI products on the market are heading towards task execution, so the positioning of Jianying AI Assistant is also very clear—it is a specialized execution Agent that can accurately perform editing tasks, covering full-scene Skills, focused on solving the actual pain points of video editing.

What is a professional execution Agent? It is someone who can help you "think" when you "don't know how to do it," and can assist you "do" when you "are too lazy to do it," using standardized Skills to implement all cumbersome operations with one click.

In editing, users usually have two psychological scenarios:

The first is "I know how to do it, but I am too lazy to do it," a "demand for efficiency" when facing cumbersome operations.

For instance, when you have filmed a bunch of materials and know that you need to shorten, denoise, and color correct them, just the thought of making hundreds of clicks on your phone can make you want to give up. At this point, the AI Assistant is the tireless executor. You just need to issue the command, and it can take over those time-consuming and non-creative batch operations.

The second is "I can’t do it, you help me think," a "creative demand" when facing vague requirements. You may just want a "more advanced transition" or a "filter suitable for autumn," but you don’t know exactly which function to use. At this moment, the AI Assistant becomes the creative director providing inspiration; it can understand your vague instructions and call corresponding Skills to help you complete the idea.

At the same time, Jianying AI Assistant precisely matches three types of creator needs: editing experts: quickly processing multi-track, large volume materials with batch editing Skills; beginner editors: triggering basic editing Skills with vague instructions to quickly locate functions and complete operations; novice editors: relying on generative Skills to produce content with zero ideas and zero operations at one click.

Video source: Geek Park

As seen, it only takes a simple command, and Jianying AI Assistant efficiently helped me batch remove the filler words like "um," "ah," and "like"—it directly implemented changes on my draft, with visible editing points that can be fine-tuned anytime. This is the charm of LUI (Language Interaction): making content creation return to creativity itself, while leaving the complex "physical tasks" to Jianying AI Assistant, this versatile Agent.

However, making AI progress from "understanding" casual speech to precisely "executing" a complex editing command actually involves a deep restructuring of interaction technology.

Firstly, it must be able to break down the requirements like a "butler" and coordinate multiple Skills. Jianying has a vast tool library, and when facing users' eclectic oral expressions, AI needs strong intent recognition and distribution capabilities.

Behind this is the support of multi-Agent division of labor + Skill-based scheduling technology—it can be imagined as an efficient team of construction workers. When you issue a command, the chief (main Agent) quickly understands the intent and then distributes the tasks to “experts” (sub Agents) responsible for different areas such as editing, soundtrack, and color correction, accurately calling the corresponding editing Skills. Through this division of labor and collaboration, AI can precisely translate the human phrase "make the video a bit brighter" to the specific "brightness parameter adjustment" track.

Secondly, it must be able to operate directly on the "workbench," supporting dynamic and editable workflows. Unlike those AI that can only generate an instant video file, a significant breakthrough of Jianying AI Assistant is its dynamic draft protocol. Simply put, AI does not throw you an unmodifiable finished video; instead, it operates directly on your editing timeline.

Combining the edge-cloud collaborative capability, every operation of the AI is synced in real-time between the cloud and the client, fully transparent and editable, truly achieving human-machine co-creation.

Lastly, it also possesses a "reflection" and "questioning" ability akin to humans.

A professional Agent, when not understanding a requirement, will actively seek confirmation. When commands are too vague or task execution fails, the AI Assistant will not randomly proceed; instead, it will invoke a "questioning" and "reflection" mechanism, confirming the needs like a real assistant. This self-correcting ability greatly reduces the communication barrier.

It can be seen that Jianying AI Assistant has already become a Skill-based execution entity focusing on editing scenarios. For editing experts, it is an efficiency multiplier for processing large volumes of materials; for novice users, it is an ever-ready provider of inspiration.

It proves that in professional workflows, the value of an Agent lies not only in generating content but also in taking over those cumbersome "Dirty Work," allowing creators to regain control over their creativity.

The "Instant Transformation" of Video Creation

In the previous AI video track, attention was mostly focused on the stunning generation from "nothing to something." But for professional creators pursuing high-quality outputs, the end of generation is often just the beginning of work.

Generative AI, while having resolved the source of materials, struggles to meet creators' essential needs for narrative structure, pacing, and image refinement.

Moreover, for a long time, there has been a kind of disconnection in the industry: either a "blind box model" that can generate but not edit, or "traditional tools" that can be edited but lack intelligence.

By 2025-2026, the industry will have completely bid farewell to the "omni-AI" bubble, with vertical Skill-based Agents becoming the core direction of professional tools. The emergence of Jianying AI Assistant further bridges this gap; it resolves the aforementioned pain points, allowing creators to upgrade from "operators," entangled with transitions and pacing, to "directors," commanding and controlling their aesthetics.

This also powerfully embodies Jianying's brand philosophy of "All in AI, All in One."

Though it may still be in its early form and cannot entirely replace humans for editing Oscar-winning blockbusters, it showcases a trend—future editing software may no longer have complex interfaces, as the trinity model of LUI dialogue + Skill invocation gradually replaces traditional GUI operations.

With voice interaction as its core selling point, Jianying AI Assistant genuinely lowers the barrier to editing to 0; whatever you can’t do or don’t want to do can be accomplished just by speaking. From "learning to edit, finding functions" to "stating needs, waiting for results," in the future of video creation, creators will no longer be bound by tools, and the core competitive edge will entirely return to the essence of "creativity," allowing everyone to become their own life’s video director.

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