How to get better AI creative results: break requests into steps
Learn how breaking complex creative requests into smaller steps produces higher quality AI-generated designs, videos, and product visuals. Practical examples for storyboards, e-commerce, and concept design.
awen Team
Creative Strategy · February 18, 2026

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The fastest way to improve your results in awen is not a better prompt. It is a shorter one.
When a request contains many changes at once, quality drops. When you guide the work step by step, quality rises. This is true across design, creative direction, advertising, e-commerce, and video production.
Decomposition is the method: turning one big request into a short sequence of smaller ones. Not because awen cannot handle complexity. Because creative intent is easier to preserve when you make one decision at a time.
What decomposition means in practice
Most single-message requests actually contain multiple jobs:
- decide the structure
- decide the look
- decide the details
- apply changes across outputs
When all of this is asked at once, the system has to prioritize. That is when results drift.
If you are new to working with awen, our guide to natural AI creative dialogue covers the fundamentals. Decomposition builds on those principles.
When a single request becomes too much
You will feel it when your message includes:
- multiple references with different purposes
- several edits applied together
- layout, style, and narrative in one ask
A common example: someone pastes nine scenes of script and asks for a single storyboard image that contains every scene.
It sounds efficient. It usually is not.
How to storyboard a script with AI, step by step
The request:
"Here are 9 scenes. Make a single storyboard image with all of them."
This compresses nine distinct moments into one decision. The result often loses rhythm, emphasis, and continuity.
A storyboard works best when continuity is established first, then extended.
A better way to request it:
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Start with the first frame. "Create the first storyboard frame. The character enters the room. Wide shot. Neutral lighting. Focus on composition, not style." This frame becomes the anchor. It defines the character, environment, and visual language.
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Extend from the established frame. "Now create the second frame. Same character, same environment. The character walks toward the table. Match the camera language and tone." Because awen already understands the subject and setting, continuity emerges naturally.
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Continue frame by frame. Each new frame builds on the previous ones: "Next frame. Same scene. The character picks up the object. Slightly closer framing." You are no longer describing everything from scratch. You are evolving a defined visual sequence.
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Refine selectively once the sequence exists. Once all frames exist, you can refine what matters most: "Strengthen contrast in frames 3 and 7. Keep the others neutral." This protects continuity while improving emphasis.
If you are building a concept deck or treatment, creative teams often start this way through AI creative direction.
How to create e-commerce product videos with AI
The request:
"Make a video of this product in this environment. The model grabs it, turns it, then places it on the table."
This request mixes three different problems:
- product fidelity
- environment and lighting
- motion choreography
If you jump straight to video, any weakness in the base image gets amplified by motion.
A better way to request it:
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Create the hero image first. "Place this product in this environment. Match the lighting. Keep the product accurate."
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Approve and refine the base. "Adjust reflections, sharpen edges, keep branding perfectly legible."
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Animate from the approved still. "Now animate: slow push-in, hand enters frame, picks up product, rotates once, sets it down. Keep product details unchanged."
This is not slower. It is faster than redoing a 10-second clip because the product changed shape on frame 12.
For teams producing catalog visuals and motion assets, this workflow is core to e-commerce creation.
How to evolve a product design from multiple references
The request:
"Take this shoe and apply this texture reference, this color palette, and this shape reference. Make it more futuristic, more minimal, and ready for a campaign."
This combines multiple transformations at once:
- shape modification
- material changes
- color system changes
- stylistic positioning
When applied together, these changes compete. The result often loses the original identity of the shoe or applies references inconsistently.
Decomposition keeps each transformation controlled.
A better way to request it:
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Anchor the base design. Start by stabilizing the original object. "Recreate this exact shoe. Preserve its proportions, silhouette, and construction. Neutral materials, neutral lighting." This establishes a clean foundation.
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Apply shape changes first. Shape defines identity. It should be decided before surface treatments. "Modify the silhouette using this reference. Adjust the sole thickness and profile. Keep everything else unchanged." Now the structure evolves while the rest remains stable.
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Apply materials next. Once the form is correct, surface treatments become predictable. "Apply this material reference to the upper. Preserve the shape exactly. Focus only on texture and material response." Because the structure is already locked, material changes do not distort the design.
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Apply color last. Color works best when form and material are stable. "Apply this color palette. Respect material boundaries. Do not change shape or texture." Now color enhances the design instead of interfering with earlier decisions.
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Refine specific areas if needed. You can then target precise adjustments: "Reduce reflectivity on the midsole. Keep everything else unchanged." Each step builds on confirmed decisions.
The sequence matters: first establish the object, then modify structure, then apply materials, then apply color, then refine details. This prevents references from overriding each other. It also gives you control over the evolution of the design.
Decomposition turns multiple competing ideas into a directed progression.
For teams making new products, this workflow is core in design.
A simple rule: separate structure from finish
Most quality failures come from mixing these two in the same request.
Structure requests decide:
- how many scenes or outputs
- what each piece contains
- the sequence and continuity
Finish requests decide:
- lighting, texture, grade
- styling, typography, polish
- realism level and detail
When structure is locked, finishing becomes easy.
How to decompose any creative request
You do not need a rigid pattern. You need the right splits.
Here are the splits that work most often:
- One output, then variants. Start with one strong result. Then branch into alternatives.
- Base asset, then transformations. Get the subject right first. Then change environment, style, or composition.
- Still, then motion. Lock the image. Then animate it. This applies especially to video production workflows.
- Grid or layout, then frame refinement. Decide the arrangement. Then refine the important tiles.
These splits protect intent. They also make your collaboration with awen predictable.
Decomposition is creative direction
Professional work rarely happens in one instruction. It happens through iteration. Creative confidence starts with asking for what you see, and decomposition gives that instinct a repeatable structure.
If you want better results, do not compress your vision into one message. Make the request in layers. Each step is a decision you can approve, refine, or redirect.
Start your next project step by step
Open awen and try it with your next project. Start with one frame, one product shot, one base design. Then build from there.
Try awen free and direct your work one decision at a time.