Here’s something that caught me off guard this week. I was digging into how people squeeze more control out of AI video tools, and I ran into a post that changed how I think about the whole workflow. The original poster shared a trick from a live demo they gave at Google I/O Extended Singapore, and it’s the kind of small tweak that produces a big quality jump.
The short version? There’s an Agent living inside Flow, and most folks have no idea it’s there.
What the Agent inside Flow actually does
According to this AI professional, the Agent handles the tedious middle work for you. It creates storyboards, organizes your visuals, and helps generate content at scale. The creator found it especially handy for one specific job: turning storyboards into full-quality images with high precision.
That precision part is the whole game, as you’ll see below.
The 3-step workflow the expert demoed
Here’s the process the original poster walked through on stage. The beauty is that each step is just a plain request to the Agent.
- Ask the Agent to create a 4 x 4 storyboard
- Ask the Agent to generate 16 full-quality images
- Ask the Agent to generate a video
Yes, that’s really it. You just ask. The Agent does the heavy lifting on each pass.
Why the extra step beats the shortcut
This is the part I found genuinely clever. Most people run a faster version: they take one 4 x 4 storyboard image and feed it straight into a video model. Sounds efficient, right?
The creator explains why it backfires. When you use a single 1-image 4 x 4 storyboard, AI video models tend to skip frames or hallucinate more, because the resolution of each reference is too low. Think about it: you’re slicing one image into 16 tiny pieces, so each slice barely has enough detail to guide the model.
The workflow above adds just one extra step. Instead of slicing one low-res image, the Agent generates 16 separate full-quality images first. Higher resolution references in, cleaner frames out. That single addition gives you far more control over what actually lands in your video.
The clever bit about “ingredients”
Here’s a detail the expert dropped that’s worth knowing. Gemini Omni usually accepts up to 5 images as ingredients when it generates a 10-second video. That’s the stated limit.
But the original poster found the Agent may not reject you if you ask it to take more. In the live demo, the workflow fed all 16 images as references into a single 10-second video. And the result held up: 10 out of the 16 images were used as exact frames in the final clip.
So you’re not just getting a smoother video. You’re getting one where the frames match your storyboard intent, because the model had real detail to work from instead of blurry slices.
Tips to try this yourself
If you want to test the workflow this LinkedIn creator shared, keep these in mind:
- Start with the 4 x 4 storyboard. Let the Agent structure your scene before you touch images.
- Always generate the 16 images as a separate step. Don’t skip straight to slicing one image. Resolution is everything here.
- Push the ingredient count. Try feeding more than 5 reference images and see how many the Agent accepts.
- Check which frames survived. Compare your output against your 16 images to learn what the model kept and what it dropped.
Why it matters: We always try to simplify steps for our own convenience. But the mind behind this post makes a sharp point. Now that agents can handle the tedious tasks, sometimes the smarter move is to let the agent do the opposite of a shortcut. When humans reach for the quick path, adding one deliberate step, handled by the Agent, can produce noticeably better results.
I love this reframe. We usually think automation means fewer steps. Here it means the agent absorbs an extra step so your quality goes up, and you still don’t lift a finger. That’s a smart trade.
If you’re working with AI video and want tighter control over your frames, this is worth a real test. Check out the full LinkedIn post from the original poster for the demo video and the finer details.