When editing tools start "understanding human language": Jianying has become a skill-based agent for video creation.

Writing: Lian Ran

If someone told you that video editing could be as easy as “scrolling through your phone,” you’d probably raise an eyebrow.

After all, in our habits, editing often means “high-intensity hand-eye coordination”—either sitting at a desk with shortcut keys in the left hand and a mouse in the right; or staring at a tiny phone screen, searching through layered menus for functions, carefully dragging tracks with your fingers.

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

Imagine leaning back in your chair, not touching the mouse, just speaking to your phone: “Help me cut these clips into a Vlog, add some cheerful music.”

Even when you realize you’re missing a transition shot, you don’t need to switch out of the app to search for images—just say, “Generate a background image here.”

This “voice-activated, hands-free” experience brings us a step closer to Tony Stark’s Jarvis in “Iron Man,” who is always ready to assist.

Over the past year, the competitive logic of AI video has shifted from “who can generate better” to “who can execute a complete set of tasks through an Agent.” Pure content generation is no longer a barrier; intelligent agents that deeply integrate into professional workflows and precisely execute complex commands are now the industry’s new focus.

Jianying’s AI assistant first proved that voice/natural language interaction can deeply take over complex professional software workflows, reconstructing traditional editing GUIs with LUI (Language User Interface). At the same time, something else is happening: all creative work will ultimately be seen in Jianying.

For many traditional creators, Jianying is the endpoint for their editing; but for new AI creators, even if they produce raw images or videos with other software, they will still return to Jianying for fine-tuning and assembly.

This “different paths, same destination” phenomenon has led Jianying to see an “All in One” opportunity—last September, Jianying upgraded its AI text-to-video feature, bridging the final mile from “AI generation” to “refined editing.”

Many agents on the market have generation capabilities, but only Jianying truly achieves “video generation + professional editing + skill-based execution.”

This is thanks not only to cutting-edge large model capabilities but also to Jianying’s years of accumulated vast functions and underlying editing engines. These deep toolsets support a “versatile AI creative partner” that not only understands human language but can also execute complex editing tasks with multiple skills in perfect harmony.

By removing the technical barriers caused by “tool proficiency,” Jianying allows content competition to truly focus on “story” and “creativity.”

From “hand-eye coordination” to “co-creation between humans and machines”

When traveling, you want to shoot a Vlog, capturing beautiful scenes with rapid shots; after the trip, opening the album—your eyes go black.

This is probably the real experience of every life enthusiast. The dopamine rush during shooting quickly turns into a psychological burden when faced with hundreds of fragmented videos, messy background sounds, and inconsistent framing in the album. The beautiful memories you wanted to record become a heavy “editing debt.”

This phenomenon of “materials gathering dust in the album” is fundamentally due to the huge “discouragement barrier” in traditional video editing workflows.

Long-term, video editing is not only an aesthetic challenge but also a physical one. Even if you just want to stitch these travel clips into a simple memory reel, you need to go through filtering, rough cuts, syncing, color correction, and more—mechanical labor with high barriers and repetitive tasks. These tedious, high-threshold “dirty work” block many from expressing themselves.

Under the traditional nonlinear editing (NLE) logic, creators’ energy is drained by non-creative steps—searching for functions in nested menus, trial-and-error in complex parameter panels, or tedious material cleaning.

In that black box called “editing,” there’s a maze of mouse clicks and fingertip drags. Whenever fine control over video streams is needed, creators cannot bypass the intricate maze of tracks and parameters.

Click the “lightbulb,” and you can see many functions of Jianying AI assistant｜Image source: GeekPark

The existence of these pain points calls for a new paradigm.

The core of Jianying AI assistant is to reconstruct interaction methods, breaking down the professional barriers. It’s no longer just an auxiliary feature overlay but introduces an Agent that upgrades the human-tool interface from “Graphical User Interface (GUI)” to “Natural Language User Interface (LUI),” also landing the industry-leading capability of a Skill library.

It’s like a “Skill-based editing hub” that understands technology, allowing users to skip learning software logic and directly call Jianying’s professional multi-track editing capabilities through voice or text commands.

GeekPark also experienced this “tools understand human language” ability.

Let Jianying AI assistant help me turn these travel clips from last year into a Vlog (with speed-up effects, actual wait about fifty seconds)｜Video source: GeekPark

As you can see, I just said, “Help me make these clips into a Vlog,” and Jianying AI assistant completed tasks like background music matching and intelligent transitions, generating a complete video. When I wanted to change the music to a cheerful style, I just told the AI assistant, and it was done.

This time-consuming and laborious process, which I would normally “know how to do but be too lazy to,” was compressed into a simple command. Just give the command, and Jianying AI assistant can accurately interpret the intent, automatically dispatch underlying Skills, and quickly complete what used to take minutes—“physical work.”

Connecting scenes with text also becomes very easy (speed-up video, actual wait about twenty seconds)｜Video source: GeekPark

Not only editing videos, but adding text to videos also used to require effort. Now, Jianying AI assistant can do this step for me too. For example, I told it to add a monologue for a cat video, and it generated it directly.

The launch of Jianying AI assistant signifies that editing software is shifting from “feature listing” to “intent understanding + Skill execution.” Beyond just function access, it connects the “central nervous system” of Jianying’s vast tool library, allowing content creation to truly return to storytelling and creativity.

How do Skill-based Agents take over the “dirty work”?

Most AI products on the market are moving toward task execution, and Jianying AI assistant’s positioning is very clear—it is a professional execution Agent capable of precisely performing editing tasks and covering all scenario Skills, focusing on solving real editing pain points.

What is a professional execution Agent? It’s someone who can “think” for you when you “don’t know how,” and “do” for you when you “are too lazy,” implementing all tedious operations with standardized Skills in one click.

In editing, users usually have two mental scenarios:

First is “I know how to do it, but I’m too lazy,” a demand for “efficiency” when facing tedious operations.

For example, after shooting a bunch of clips, you know you need to trim, denoise, color correct, but the thought of hundreds of clicks on your phone makes you want to give up. At this moment, the AI assistant is the tireless executor. Just give it a command, and it can handle these time-consuming, non-creative batch tasks.

The second is “I can’t do it, you help me think,” a “creative” demand when facing vague needs. You might just want a “more advanced transition” or “an autumn-themed filter,” but don’t know which function to use. Then, the AI assistant becomes a creative director providing inspiration, understanding your vague instructions and calling the appropriate Skills to fulfill your idea.

Meanwhile, Jianying AI assistant precisely matches three creator needs: expert editors—using batch editing Skills to quickly handle multi-track, large-volume footage; beginner editors—triggering basic editing Skills with vague commands for quick function access; novices—relying on generative Skills to produce content with zero ideas or operations.

Video source: GeekPark

As you can see, just one sentence, and Jianying AI assistant efficiently cut out filler words like “uh,” “ah,” “like”—it directly edits on my draft, with clear cut points, ready for fine-tuning. That’s the charm of LUI (Language User Interface): returning content creation to creativity itself, while the “physical work” is handed over to Jianying AI assistant, this all-round Agent.

However, enabling AI to go from “understanding” a casual chat to “precisely executing” a complex editing command involves a deep reengineering of interaction technology.

First, it must be able to decompose needs like a “butler,” dispatching multiple Skills collaboratively. Jianying has a vast tool library, and when faced with users’ colloquial, varied expressions, AI needs strong intent recognition and distribution capabilities.

This is supported by multi-Agent division + Skill-based scheduling technology—think of it as an efficient construction team. When you give an instruction, the main Agent quickly understands the intent and then assigns tasks to specialized “experts” (sub-Agents) responsible for editing, music, color grading, etc., calling the appropriate editing Skills. Through this division of labor, AI can accurately map a human phrase like “brighten the video” to specific parameters like “brightness adjustment” tracks.

Second, it must support direct, dynamic editing on the “workbench.” Unlike AI that only generates a final instant video file, Jianying AI assistant’s breakthrough is in dynamic draft protocols. Simply put, AI doesn’t produce an unchangeable finished video but directly operates on your editing tracks.

Combined with cloud-end collaboration, each step is synchronized in real-time between cloud and client, fully transparent and editable—truly enabling co-creation.

Finally, it also has human-like “reflection” and “questioning” abilities.

A professional Agent will proactively confirm when it doesn’t understand a need. When instructions are too vague or execution fails, the AI assistant won’t force a random action but will trigger “questioning” and “reflection” mechanisms, confirming the requirements like a real assistant. This self-correcting ability greatly lowers communication barriers.

It’s clear that Jianying AI assistant has become a Skill-based execution body focused on editing scenarios. For expert editors, it’s an efficiency multiplier for batch processing; for novices, it’s an always-ready source of inspiration.

It proves that in professional workflows, the value of Agents is not just content generation but also taking over tedious “dirty work,” allowing creators to regain control over their ideas.

The “word-driven” era of video creation

Previously, AI video tracks mostly focused on “from nothing to something” stunning generation. But for professional creators pursuing high-quality output, generation is often just the beginning of the work.

Generative AI, while solving the source of materials, struggles to meet the professional needs for narrative structure, rhythm, and detailed picture refinement.

Moreover, for a long time, the industry has been fragmented: either “blind box models” capable of generation but not modification, or “traditional tools” capable of editing but lacking intelligence.

By 2025-2026, the industry will have thoroughly moved away from the “all-powerful AI” bubble, with vertical Skill-based Agents becoming the core of professional tools. Jianying AI assistant’s emergence further bridges this gap, solving the pain points mentioned earlier, transforming creators from “transition operators” worried about scene cuts and timing, into “directors” who give commands and control aesthetics.

This is also a strong embodiment of Jianying’s brand philosophy: “All in AI, All in One.”

Although it may still be in early stages and cannot fully replace humans in creating Oscar-worthy films, it demonstrates a trend—future editing software may no longer have complex interfaces. The integrated mode of LUI dialogue + Skill invocation will gradually replace traditional GUI operations.

Centered on voice interaction, Jianying AI assistant truly lowers the editing threshold to zero. Tasks you don’t know how to do or are too lazy to do can be completed with a simple voice command. Moving from “learning editing, searching functions” to “speaking needs, waiting for results,” future video creation will no longer be constrained by tools, and the core competitive edge will return to “creativity,” enabling everyone to become their own video director of life.