A mystery adventure game where you play as a shapeshifting lizard, transforming into any NPC to unlock unique dialogue, solve intricate puzzles, and complete diverse quests to unravel a town's secrets.

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앞서 해보기 게임

지금 바로 플레이할 수 있습니다. 게임이 개발되는 과정에 참여하세요.

참고: 앞서 해보기 게임은 완성된 게임이 아니며 개발이 진행됨에 따라 크게 바뀔 수 있습니다. 게임의 현재 상태가 흥미롭지 않게 느껴진다면, 개발이 더 진행될 때까지 기다려 보세요. 앞서 해보기에 대해 자세히 알아보세요.

개발자의 한마디:

왜 앞서 해보기를 진행하나요?

“Detective Modo is a passion project from a solo developer. I want to launch in Early Access to refine and elevate the experience with your direct input, ensuring it hits the mark for puzzle fans and narrative enthusiasts.

My primary goals for EA are focused and achievable:

Overhaul the visual style: Completely redoing the background art to create more immersive, hand-crafted environments that enhance the moody detective vibe. This will be done within 6-12 months.

Expand audio immersion: Adding voice acting for all characters and ambient sound design to bring dialogues and scenes to life. Voice work will be fully implemented within 6 months.

I'm fully committed to this journey—I've already invested over 2 years in prototyping and core mechanics, and EA is my way of iterating based on real player feedback. Expect regular updates every 2-3 weeks, transparent dev logs on Steam forums/Discord, and a clear roadmap to full release within 12-18 months. Your thoughts on puzzle balance, art style, mood, and voice delivery will shape the final product, helping me avoid solo-dev blind spots and deliver a polished, complete detective tale. If you're into thoughtful mysteries with room to grow, join me in building something special.”

얼마나 오래 앞서 해보기를 진행할 계획인가요?

“The aim is for 2026.”

정식 버전은 앞서 해보기 버전과 어떻게 달라지나요?

“The Early Access version includes the full story, all puzzles, and every core gameplay feature. Before the full release, I plan to expand and polish the experience by:

- Adding additional character portrait variations (expressions such as smiling, frowning, surprised, etc.)
- Completing and refining voice acting for all dialogue lines
- Improving visual effects, sound design, and minor quality-of-life features (such as accessibility options and performance optimizations)
- Incorporating community feedback to balance pacing, dialogue, and overall polish
- Add more cutscenes
- Improve the filler dialogue

The full version will therefore feel more immersive and polished, but the main story content is already playable from start to finish in Early Access.”

앞서 해보기 버전은 현재 어떤 상태인가요?

“Please refer to the About This section.”

앞서 해보기 기간 전후로 게임 가격이 달라지나요?

“The game will be priced exactly the same.”

개발 과정에서 어떻게 커뮤니티와 소통할 계획인가요?

“Community feedback will be an important part of shaping Detective Modo during Early Access. Players are encouraged to share their thoughts, report issues, and suggest improvements — especially regarding dialogue, pacing, and visual design.

I’ll be gathering feedback through the Steam Community Hub discussions and social channels, and I plan to actively respond to suggestions and ideas. If players would like to contribute more directly (for example with voice recordings, art, or writing suggestions), I’d love to collaborate where possible to make Detective Modo even more memorable. Feel free to also reach out via email.”
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이 제품은 귀하의 로컬 언어를 지원하지 않습니다. 구매하기 전에 아래에 있는 지원하는 언어 목록을 확인해주세요.

Detective Modo 구매

출시 기념 할인! 종료일: 2025년 11월 17일

-10%
$14.99
$13.49
 
모든 토론 보기

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게임 정보

Dive into the shadows as Detective Modo, a cunning shapeshifting lizard slinking through a vibrant town to unravel a gripping mystery! Emerging from your sewer lair, you discover a passed-out child in the depths. Determined to reunite them with their parents, you venture into the bustling streets above, where every face hides a secret and every quest unveils a piece of the puzzle.

Transform into any NPC you encounter, unlocking unique dialogue and fresh perspectives that reshape the town’s tangled web of stories. Solve each townsfolk’s quest in any order you choose, wielding cleverly earned items and mind-bending secret abilities to crack puzzles and expose truths. With every shift, you’re one step closer to solving the enigma of the missing child—but beware, the town’s secrets run deeper than the sewers you call home.

Will you unravel the mystery as the ultimate shapeshifting sleuth? Detective Modo awaits your cunning!

AI 생성 콘텐츠 사용 공개

개발사는 게임에서 AI 생성 콘텐츠를 사용하는 방법을 다음과 같이 설명합니다.

The background art was generated using Midjourney; however, everything else has been hand drawn and coded. As the game develops, the developer is hoping to completely re-do the background art with a professional. Please help him achieve this goal!

성인 콘텐츠 설명

개발자의 콘텐츠 설명:

The game makes mild adult references that may not be suitable for young audiences.

시스템 요구 사항

    최소:
    • 64비트 프로세서와 운영 체제가 필요합니다
    • 운영 체제: Windows 10 (64-bit)
    • 프로세서: Intel Core i3-2100 @ 3.1GHz or AMD Phenom II X4 965 @ 3.4GHz
    • 메모리: 4 GB RAM
    • 그래픽: NVIDIA GeForce GTX 1060 (3 GB VRAM) or AMD Radeon RX 470 (4 GB VRAM) – or equivalent with DirectX 11 support.
    • DirectX: 버전 11
    • 저장 공간: 2 GB 사용 가능 공간
    • 사운드카드: DirectX compatible sound card
    • VR 지원: Not supported
    • 추가 사항: The game is lightweight and primarily uses 2D canvas rendering with occasional video playback. Ensure hardware-accelerated video decoding is enabled in your browser or runtime environment for smoother performance. Tested on low-end hardware; should run on most modern systems without issues.
    권장:
    • 64비트 프로세서와 운영 체제가 필요합니다
    • 운영 체제: Windows 10 or 11 (64-bit)
    • 프로세서: Intel Core i5-8400 @ 2.8GHz or AMD Ryzen 5 2600 @ 3.4GHz
    • 메모리: 8 GB RAM
    • 그래픽: NVIDIA GeForce GTX 1080 (8 GB VRAM) or AMD Radeon RX 5700 (8 GB VRAM) – or equivalent with DirectX 12 support for optimal video and rendering smoothness.
    • DirectX: 버전 12
    • 저장 공간: 3 GB 사용 가능 공간
    • 사운드카드: DirectX compatible sound card with surround sound support
    • VR 지원: Not supported
    • 추가 사항: Recommended for higher resolutions (1080p+) or if running multiple applications simultaneously. The game's code is optimized for efficiency, with precomputed lookups and minimal real-time computations, so it scales well even on mid-range hardware.
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