Tidy Dash

Tidy Dash is a fun cleaning simulator where you team up with Daisy, your co-manager, to tackle a variety of environments one satisfying tap at a time.

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Inspiration

The idea for Tidy Dash came while playing a picture-based hidden-object game that challenged us to find and tap specific items within detailed scenes. It was simple, engaging, and surprisingly relaxing, the kind of game you play to unwind after a long day.

That experience sparked something for us. We thought, what if we flipped the concept? Instead of finding random items, what if players focused on cleaning, removing the mess and restoring order? That felt even more rewarding. It wasn’t just about searching anymore; it was about transformation.

So we built on that spark, combining the visual satisfaction of “spot-the-difference” gameplay with the calm, fulfilling act of cleaning. That’s how Tidy Dash was born, a casual game built to relax your mind while you bring beauty back to messy spaces.

What It Does

Tidy Dash is a picture-based cleaning game designed to relax your mind. Players are shown messy environments like lounges, airports, gyms, bathrooms and must tap on dirt spots to gradually restore each scene to perfection. There’s no timer, no rush, just that calm, satisfying rhythm of click, clean, relax. Every level ends with a fully restored scene and a simple “done” moment that feels genuinely rewarding. To create these environments, we used Dreamina AI to generate clean, detailed images of different locations. We focused on high-quality lighting, perspective, and layout, each scene had to feel real and inviting even before the cleaning began. Next, we generated matching dirt and clutter elements using Dreamina AI. These were designed to fit naturally into the same spaces, matching the lighting, angles, and textures of the clean scenes. We then applied these dirt elements manually inside the game, giving us full control over placement, balance, and level difficulty. Finally, we integrated an interactive cleaning system that lets players tap each dirt spot to make it vanish, revealing the spotless version underneath. It’s a simple mechanic, but it captures that satisfying transformation that makes cleaning games so relaxing to play.

In short:

  • Dreamina AI generated clean base scenes with realistic details.
  • We used Dreamina to create matching dirt and clutter elements.
  • The dirt was applied manually in-game for full creative control.
  • Players clean by tapping, restoring order and beauty one spot at a time.
  • Sound Effect was generated with Freepik
  • Icons and for tools where generated with Gemini
  • Sound was edited and cut with Capcut

That’s how Tidy Dash works. A simple idea brought to life through Dreamina AI and a love for calm, rewarding gameplay.

Challenge:

Building Tidy Dash came with a lot of trial and error. In the beginning, we tried generating dirty scenes directly in Dreamina AI, then used the Remove tool to clean them and extract the dirt layers. We also used the HD button to enhance image quality.

But this workflow caused a lot of problems. When we removed dirt, it sometimes damaged the surfaces, leaving holes, mismatched textures, or strange artifacts that didn’t blend with the rest of the scene. Fixing those issues with the Imprint tool helped sometimes, but it also changed how the environment looked, breaking visual consistency.

After several tests, it became clear that we needed a cleaner, more stable process, one that gave us control over every part of the image without relying too heavily on AI corrections.

How we solved it

To fix those issues, we reworked our entire approach. Instead of generating dirty scenes, we used Dreamina AI to create clean base images first high-quality environments with no mess. Then, we separately generated dirt and clutter assets that matched the lighting and perspective of each scene. We imported those dirt layers into Unity and placed them manually. This gave us full control over composition and allowed us to tweak each level’s difficulty by adjusting the amount or type of dirt. This new method not only saved time but also kept our visuals sharp and consistent. It turned what was once a frustrating clean-up problem into a flexible design system that made development faster, smoother, and more creative.

Accomplishments that we're proud of

What makes us most proud is how quickly we brought Tidy Dash to life. Despite experimenting with different workflows and constantly refining our process, we built a full, playable, and visually engaging game in a short amount of time. Within just one month of changing our entire production strategy, we were able to create high-quality environments, generate fitting dirt elements, and bring everything together into a smooth, interactive experience.

Using Dreamina AI, we crafted clean, detailed environments and designed dirt that matched each surface perfectly, from gym tiles to lounge carpets. That precision made every scene feel more believable and satisfying to clean. We’re especially proud of how we adapted on the fly. Each challenge pushed us to think differently, and every iteration made the game better. By the end, we didn’t just have a finished game, we had a creative system that worked beautifully, allowing us to move fast without sacrificing quality. Tidy Dash stands as proof that with clear direction, teamwork, and smart use of AI tools, small teams can build something immersive and beautiful, even under tight deadlines.

What we learned

Developing Tidy Dash taught us that creativity moves fastest when you’re willing to adapt. Our early attempts showed that not every idea works on the first try, and that’s okay. Each experiment revealed something new about how to balance AI generation with human direction. We learned that Dreamina AI is most powerful when guided with clear intent. The more precise our prompts and artistic direction became, the better the results, from cleaner surfaces to dirt that looked natural and believable. That collaboration between human vision and AI capability became the heart of our process. We also learned that speed doesn’t have to come at the cost of quality. By focusing on iteration and simplicity, we discovered how to produce professional-looking results within weeks instead of months. It taught us to trust our instincts, refine fast, and keep the fun alive in development. Most of all, we learned that great games don’t always need huge teams or budgets, just clarity, creativity, and a smart workflow that plays to your strengths.

What's next for Tidy Dash

The journey is just getting started. We’re creating many more scenes, and with each one, we’re improving, getting better at using Dreamina AI, better at prompting, and better at mixing creativity with technology. Every new environment looks and feels better, with more detail, quality, and mood. We also want to make the game more immersive and fun. That means adding new animations, improving the way cleaning actions like scrubbing and breaking feel, and making every clean-up moment more real and satisfying. Soon, players will be able to unlock new cleaning tools, explore beautiful new levels, and get in-app purchases that make the game even more exciting. Our goal is to make Tidy Dash a relaxing world with endless levels, where every tap feels rewarding and every new scene shows progress.

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