August 2026
Why This Experiment
JS Breakouts uses minimal geometric graphics—colored rectangles, simple circles—because that keeps the focus on code, not visuals. It's fast, framework-agnostic, and works everywhere.
But many developers ask: “What if I need actual game art?”
In 2026, AI tools claim they can generate game assets in seconds. We tested three popular options to see if that's true—and whether AI-generated assets are actually usable in a real game project.
Spoiler: It depends on what you need.
The Experiment
Goal
Generate a complete asset set for a Breakout-style game using only AI tools.
Required Assets
- Paddle (player-controlled bar)
- Ball (bouncing sphere)
- Brick Set (colorful rectangular tiles)
Tools Tested
- Bing Image Creator — Microsoft's free AI image generator
- Ideogram — Design-focused AI with a free tier
- Ezier — Game asset generation specialist
Evaluation Criteria
Speed
How fast can you get usable results?
Consistency
Do assets look like they belong together?
Usability
Can you use the output directly, or does it need heavy editing?
The Results
Bing Image Creator
Example Output: The paddle came out glossy royal-blue with white trim. The ball had a strong orange glow. The brick set formed organized multicolor rows.
What Worked:
- Fast generation — About 25 seconds per asset
- Four variations — Every prompt returns 4 options to choose from
- Clear, isolated subjects — Objects were well-centered with clean backgrounds
- Reliable output — All three prompts produced usable results on the first try
What Didn't:
- Slight style drift — Generating assets separately introduced small visual inconsistencies
- Non-transparent backgrounds — White backgrounds require manual removal
- No batch generation — You have to prompt three separate times
- Ease of use
- 4 out of 54/5
- Visual quality
- 4 out of 54/5
- Consistency
- 4 out of 54/5
Ideogram
Example Output: The combined sheet produced a cohesive set with consistent shading and outlines, though the paddle proportions didn't match the prompt exactly.
What Worked:
- Strong visual consistency — Using a combined prompt, all assets shared the same style
- Cost-efficient — Generated 4 complete asset sheets for only 2 credits
- Attractive stylization — The glossy, polished look was immediately appealing
- Good at complex compositions — Handled multi-object prompts well
What Didn't:
- Shape interpretation issues — The paddle drifted toward a vertical shield shape instead of staying horizontal
- Requires cropping — Combined sheets need manual extraction of individual assets
- Mixed brick sizes — The brick grid had irregular spacing, making automated slicing harder
- Ease of use
- 3 out of 53/5
- Visual quality
- 4 out of 54/5
- Consistency
- 5 out of 55/5
Ezier
Example Output: A clean, organized asset sheet with generous spacing between elements. The brick grid had uniform dimensions and could be sliced programmatically.
What Worked:
- Accurate prompt interpretation — The combined layout came out exactly as requested
- High resolution — 2048×2048 output, perfect for scaling
- Production-ready geometry — The paddle was horizontal, the ball was circular, the bricks formed a perfect 5×5 grid
- True consistency — All three elements shared the same shading, scale logic, and polish
- Clear pricing — 2 credits for the full sheet, displayed upfront
What Didn't:
- Background removal still needed — Like the others, outputs have white backgrounds
- Slightly slower — About 49 seconds (still fast, but not as instant as Bing)
- Ease of use
- 5 out of 55/5
- Visual quality
- 5 out of 55/5
- Consistency
- 5 out of 55/5
What We Learned
AI Excels at Single Assets, Struggles with Sets
Generating one beautiful paddle? Easy.
Generating a paddle, ball, and brick set that all share the same art style? Much harder—unless you use a combined prompt strategy.
This is a common pain point in gamedev communities. Developers on Reddit's r/gamedev and r/IndieDev frequently mention that AI is great for individual concepts but maintaining visual consistency across a full asset pack requires careful prompting.
“Good Enough for Prototyping” is Real
None of the outputs were 100% production-ready without editing (all needed background removal at minimum).
But they all beat the “purple placeholder rectangle” phase that indie developers know too well.
For solo developers, that's valuable.
Specialized Tools Have an Edge
The general-purpose tools (Bing, Ideogram) produced visually appealing results, but Ezier's game-specific focus showed in the details:
- The paddle stayed horizontal
- The brick grid was perfectly uniform
- The spacing was optimized for extraction
This suggests that domain-specific AI tools may become increasingly important as the technology matures.
Prompting is Still a Skill
Getting usable output requires:
- Understanding each tool's strengths and limitations
- Iterating on prompt phrasing
- Knowing when to use combined vs. separate generation strategies
It's not “type a sentence, get perfect art.” It's more like “describe what you want, refine, and choose the best result.”
Animation is Still Manual
All three tools generate static images.
You still need sprite sheets, tweening, or code-driven animation for anything that moves. AI can give you the frames, but the motion is still on you.
When to Use AI for Game Assets
- You're prototyping and need to move past colored rectangles
- You're a solo indie developer with no art budget
- You're exploring visual direction before commissioning an artist
- You need placeholder art that looks better than stock assets
- You need pixel-perfect consistency across dozens of assets
- You're making a commercial game and need clear licensing
- You need animated sprite sheets (you'll still need to animate manually)
- You're working with a professional artist who can deliver exactly what you need
- Generate with AI, then edit in Photoshop/Aseprite
- Use AI for backgrounds only (less consistency needed)
- Treat it as a concept sketch tool, not final output
- Combine AI generation with manual touch-ups
Comparison Summary
| Factor | Bing Image Creator | Ideogram | Ezier |
|---|---|---|---|
| Speed | ~25s per asset | ~25s for combined sheet | ~49s for combined sheet |
| Best for | Quick prototyping | Concept exploration | Production assets |
| Consistency | Good (4/5) | Excellent (5/5) | Excellent (5/5) |
| Game-readiness | Moderate | Moderate | High |
| Cost | Free | Free tier available | Paid (2 credits/sheet) |
| Resolution | 1248×832 | 1024×1024 | 2048×2048 |
Download the Test Assets
Want to see the full results? We've made the complete test package available:
Download Asset PackLicense: CC0 (public domain) — use them however you want.
What's Included:
- All 9 generated assets (paddle, ball, bricks × 3 tools)
- Original prompts used for each tool
- Test results and methodology
- Side-by-side comparison grid
- Full-resolution source sheets
Our Verdict
Did AI make asset creation faster?
Yes. Dramatically faster than traditional methods.
Did it eliminate the need for art skills?
No. You still need to:
- Write effective prompts
- Choose between variations
- Remove backgrounds and prepare sprites
- Maintain consistency across your full game
Will we use AI for JS Breakouts?
No. Geometric primitives still serve our purpose better—they're instant, universally compatible, and keep the focus on code.
Should you use AI for your game?
Maybe. If you're stuck on placeholder art and need something that looks real enough to judge your game mechanics, AI tools are worth trying.
Just don't expect magic—expect a better starting point.
Final Thoughts
The most interesting finding wasn't which tool “won”—it was how use case determines the winner.
- Need fast throwaway prototypes? Bing is free and instant.
- Exploring art direction? Ideogram gives you stylistic variety.
- Building production assets? Ezier delivered the most game-ready output.
AI won't replace game artists anytime soon. But it's already useful for solo developers trying to visualize their ideas before committing to final art.
And that's a genuine shift in how indie games can be prototyped in 2026.
This experiment was conducted by the JS Breakouts team in August 2026. All test data, prompts, and generated assets are available in the download package above.