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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早期アクセスゲーム

今すぐアクセスしてプレイし、ゲームの開発プロセスに参加しよう。

注:早期アクセスのゲームは未完成であり、これから変わることも変わらないこともありえます。現段階でこのゲームのプレイに満足できないと思われる場合は、 開発がさらに進捗するまで待つことをお勧めします。詳細はこちら

開発者からの注意書き:

早期アクセスにした理由

“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.”

大体どのくらいの期間このゲームを早期アクセスにする予定ですか?

“The aim is for 2026.”

早期アクセスバージョンと計画されているフルバージョンの違いは?

“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.”

早期アクセスバージョンの現状はどうなっていますか?

“Please refer to the About This section.”

早期アクセス期間中と期間後ではゲームの価格は変わりますか?

“The game will be priced exactly the same.”

コミュニティは開発プロセスにどのように関わることができますか?

“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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Detective Modoを購入する

リリース記念セール!11月17日に終了

-10%
$14.99
$13.49
 
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このゲームの掲示板でバグを報告したりフィードバックを残そう

このゲームについて

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生成コンテンツの開示

開発者は、ゲームでのAI生成コンテンツの使用について次のように説明しています。

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!

大人向けコンテンツの説明

開発者はコンテンツを次のように説明しています:

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

システム要件

    最低:
    • 64 ビットプロセッサとオペレーティングシステムが必要です
    • OS: Windows 10 (64-bit)
    • プロセッサー: Intel Core i3-2100 @ 3.1GHz or AMD Phenom II X4 965 @ 3.4GHz
    • メモリー: 4 GB RAM
    • グラフィック: NVIDIA GeForce GTX 1060 (3 GB VRAM) or AMD Radeon RX 470 (4 GB VRAM) – or equivalent with DirectX 11 support.
    • DirectX: Version 11
    • ストレージ: 2 GB の空き容量
    • サウンドカード: DirectX compatible sound card
    • VRサポート: Not supported
    • 追記事項: 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.
    推奨:
    • 64 ビットプロセッサとオペレーティングシステムが必要です
    • OS: Windows 10 or 11 (64-bit)
    • プロセッサー: Intel Core i5-8400 @ 2.8GHz or AMD Ryzen 5 2600 @ 3.4GHz
    • メモリー: 8 GB RAM
    • グラフィック: 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: Version 12
    • ストレージ: 3 GB の空き容量
    • サウンドカード: DirectX compatible sound card with surround sound support
    • VRサポート: Not supported
    • 追記事項: 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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