Picture a director with a brilliant idea for a music video. Normally, that idea has a long, painful road ahead. They need a song, a storyboard, a crew, shot lists, an editor, and weeks of back-and-forth. By the time the video ships, the original spark has been sanded down by a hundred small compromises.
Now picture that same director typing the idea into a chat window and watching a team of AI agents plan the whole thing on a canvas in front of them. I just came across a post from an AI professional who did exactly that, and I can’t stop thinking about it. The creator took one idea and turned it into a full MV (music video) just by chatting with agents on MiniMax Design.
What grabbed me wasn’t only the result. It was how the creator kept full creative control while the agents did the heavy lifting.
🎬 The Problem With Invisible Agents
The author opens with a confession a lot of us can relate to. This year, most of their workflows run on agents. They’re fast, efficient and powerful.
But there’s a catch. Much of the agentic process is hard to see. Agents run in the background, make decisions, and hand you a finished thing. That works fine for a spreadsheet or a code fix. It falls apart when you’re designing a storyboard, because creative work needs visuals. You have to see the shots to judge them.
That tension sits at the center of the whole story. How do you get the speed of agents without losing sight of what they’re actually building?
🧩 Making the Process Visible
The answer the expert found was a platform that turns the invisible into something you can watch. On MiniMax Design, a team of agents plans the work and picks the right models for each task. Then you watch the workflow build itself on a canvas, node by node.
If “node-based workflow” sounds technical, think of it like a flowchart. Each box (a node) does one job, like generating a song, a clip or an edit. Arrows connect the boxes, so you can trace exactly how your final video came together and poke at any step along the way.
Inspired by examples already on the platform, the creator decided to go big and make a full MV.
🎵 The Workflow, Step by Step
Here’s how the original poster built it, all in one place:
- Generated a song with MiniMax’s music model.
- Chatted with the agents to create the storyboard.
- Split the song into chunks, one video per chunk.
- Used the audio chunks as lip-sync references.
- Generated every clip with MiniMax H3.
- Did the final edit on the same canvas.
The setup boiled down to two things: one chat window with the agents, and one canvas with the whole node-based workflow.
The song-chunking trick is clever, and I think it’s worth stealing. Splitting the audio into pieces and using each one as a lip-sync reference keeps every clip matched to its exact slice of the music. That’s what makes the final cut feel like a real music video instead of a slideshow of random scenes.
⚡ V1: Fast, But Not Quite Right
Here’s where the story gets interesting. The creator’s very first chat already produced a full MV, assembled and ready to go. That was V1.
Most people would stop there and call it a win. But the author wanted the video to reflect their own ideas more precisely. A finished draft from the agents was a great starting point, not the destination.
So the expert went back to the agents with directions for each individual shot. They also opened up some of the nodes directly to iterate on specific pieces.
🎨 V2: Where the Human Comes In
This is the key insight, and the creator puts it plainly. That shot-by-shot direction and node-level tweaking is the human input.
The benefit of agents plus a visual, node-based workflow: you can see everything and change any part.
V2 took more effort. But the result was much more satisfying, and it’s the version the author chose to share with the post.
I love how honest this is. The first automated pass gets you 80% there in minutes. The last 20%, the part that makes it yours, still comes from your taste and direction. The difference now is that you can reach in and fix exactly the part that bugs you without rebuilding everything from scratch.
🛠️ Skills Raised the Quality Bar
One more detail the creator highlighted: skills made a big difference to the quality. Think of skills as reusable instruction packs that teach the agents how to handle a specific kind of task well.
Some skills come ready-made on the platform. You can also build your own. If you find yourself giving the same creative direction again and again, like a color grade, a camera style or a pacing rule, that’s a perfect candidate for a custom skill.
💡 Where Else This Works
According to the author, the same approach works well beyond music videos:
- Ads: draft a full spot, then direct individual shots until the product looks right.
- Marketing campaigns: spin up multiple visual variations from one core idea.
- Social media stories: turn a single concept into a short, punchy sequence.
- Short dramas: storyboard scenes, generate clips, and edit them on one canvas.
✅ Tips to Try This Yourself
Based on the expert’s process, here’s how I’d approach a first project:
- Let V1 happen fast: don’t over-plan the first chat. Get a full draft on the canvas first.
- Direct shot by shot: go back with specific notes for each scene, like “slow push-in, warm light, singer looks at the camera on the chorus.”
- Open the nodes: when one clip is off, fix that node instead of regenerating the whole video.
- Chunk your audio: one clip per audio segment keeps lip-sync and pacing tight.
- Save your style as a skill: if a direction works, turn it into something reusable.
🧭 The Takeaway
The story arc here mirrors where creative work is heading. Agents handle the execution, and we keep the creative oversight. The tools got faster, but the human eye still decides what’s good.
I think this is one of the clearest examples I’ve seen of agentic AI that doesn’t take the artist out of the art. It just clears the busywork out of the way.
Check out the full LinkedIn post to watch the finished MV and see the workflow in action.