How to Chat to Generate AI Short Videos (Lovart Agent Workflow-based)

Short-form video has quietly become the default language of the internet.

It is how brands launch products, how creators build audiences, how teams explain ideas internally, and how attention is captured in an endless scroll. Today, being able to produce high-quality short videos quickly is no longer impressive. It is expected.

And yet, for most people, creating video still feels harder than it should.

Traditional production pipelines are slow and expensive. Many AI video tools promise speed, but introduce a different frustration: you lose control. You type a prompt, wait for a result, and hope the system “gets it.” When it doesn’t, you start again from zero.

Lovart was built around a simple question: What if creating video felt more like a conversation, and less like issuing commands to a machine?

Why Prompt-Only AI Video Tools Break Down in Real Work

Before talking about solutions, it helps to be honest about the problem.

Most AI video generators rely on a one-shot prompt model. You describe what you want, the system generates something, and that is the end of the interaction.

This works for demos. It fails in production.

First, creative intent rarely arrives fully formed. Ideas evolve as soon as you see something on screen. Humans adjust, refine, and negotiate with the work. A single prompt cannot support that process.

Second, video is layered and temporal. It is not just “an image that moves.” It is pacing, framing, sound, motion, and narrative working together. Regenerating an entire clip to fix one moment is not iteration. It is guesswork.

Finally, real teams care about consistency. Brands need the same character to look like the same character. Campaigns need recognizable visual language. Randomness is exciting in experiments, but destructive in professional design.

The limitation is not the model.

It is the workflow wrapped around it.

From Prompting to Agentic Conversation

Lovart starts from a different assumption.

AI should not behave like a vending machine that dispenses outputs. It should behave more like a collaborator that understands context, asks questions, and reasons before acting.

That is why Lovart is built around a Design Agent, powered by its proprietary MCoT (Mind Chain of Thought) engine.

Before generating anything, the agent considers things humans usually care about:

• What is the goal of this video?
• Who is it for?
• What mood or brand language should it follow?
• How should motion and visual hierarchy support the message?

When you chat with Lovart, you are not “engineering prompts.” You are briefing a digital creative director that understands why certain decisions matter.

The Real Bottleneck in AI Video: Control

Even with better reasoning, one problem has historically held AI video back: control.

Most tools force you to regenerate everything when you want to change something small. That might be acceptable for images. For video, it quickly becomes unusable.

Lovart addresses this through ChatCanvas, a shared space where visuals and conversation exist side by side.

Instead of describing changes abstractly, you can point to what you mean. A frame. A background. A character. Then you talk to it.

This creates a natural rhythm: Talk. Tab. Tune.

It is less like operating software and more like working with another designer.

How to Generate AI Short Videos with Lovart

Let’s walk through what this looks like in practice.

Step 1: Talk — Set the Creative Direction

Start a new project and explain the outcome you want, not just the format.

Instead of saying, “Generate a short video,” try something closer to how you would brief a human teammate:

“Create a 15-second cinematic short video for a luxury fragrance brand. I want slow camera movement, soft lighting, and a calm, atmospheric mood with minimalist piano music.”

The agent may respond with clarifying questions. That is intentional. It is reasoning through your request before committing to visuals.

This step does more than generate content. It sets creative logic for everything that follows.

Step 2: Tab — Work Directly on the Canvas

Once an initial draft or storyboard appears, move into ChatCanvas.

Here, the difference becomes obvious.

You can select a specific frame and say:

• “Change this background to a Pacific Northwest forest.”
• “Warm up the lighting in this shot.”
• “Slow the camera movement here.”

Nothing else breaks. No full regeneration. No loss of earlier decisions.

Step 3: Tune — Final Refinement and Export

With the structure in place, it is time for finishing touches.

Lovart includes tools designed for the last mile of production:

• AI Lip Sync, supporting over 40 languages for global audiences
• 3× Resolution Upscaling, so videos remain sharp on high-resolution displays
• Export-ready MP4 files, optimized for social platforms and presentations

At this point, the video no longer feels “AI-generated.”

It feels designed.

More Than Video: One Agent, Many Outcomes

Short videos are often just the beginning.

Because Lovart preserves context across modalities, the same project can expand into:

• Brand identity elements like logos and color systems
• Social posts, posters, and campaign assets
• 3D characters, mascots, or IP concepts with full 360-degree views

This is what makes Lovart different. It is not a collection of disconnected tools. It is a single agent that carries intent from one output to the next.

Designing With AI, Not Around It

The future of AI video is not about writing better prompts. It is about building workflows that feel closer to how humans already create.

Lovart represents a shift toward agentic design, where conversation, reasoning, and visual control work together instead of fighting each other.

If you need speed without sacrificing intent, this is the model that scales.

Start your first agent-driven video project at Lovart, and experience what it feels like when AI finally understands creative work.