A little desktop toy where you teach an AI how to do something — just by typing. You type out a thing — how to take a shower, which hand goes in first — and the AI takes a guess, tries to figure out what you meant, and shows you what it came up with. Whether it got it right is up to you to judge.

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About This Game

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Teach AI How to Act

You teach it how to do — and it tries.

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A little desktop toy where you teach an AI how to do something — just by typing.

You type out a thing — how to take a shower, which hand goes in first — and the AI takes a guess, tries to figure out what you meant, and shows you what it came up with. Whether it got it right is up to you to judge.

It doesn't actually learn anything. It just tries to understand what you wrote, and then it shows you how much it understood. You decide if it did it right.

🎬 What's the deal

📝 You say one line · It takes one shot

You type "first reach with the left hand" / "now raise the right" — the AI reads the line, flips through whatever it knows, and picks something to play back. You watch and decide: did that match what I meant? If not, keep teaching.}

  • 🖊️ You teach — type, send, tell it what to do

  • 🧠 It tries — reads your words, digs through its own library, picks something

  • 🎞️ You watch — it shows you what it found, you judge if it's right

🎥 How to see what it picked

Full-screen video is how it shows you the result — no menus, no controls, just the clip it chose. You watch and see if it matches what you tried to teach. The chat drawer sits quietly in the corner until you need it.}

  • 🎞️ Seamless cuts — segments preload so there's no blackout or hiccup

  • 🔲 Doesn't block — the teach drawer stays out of the way until you expand it

  • 🖱️ Click and teach — pick a series from the home page, start teaching right away

🤖 Local model · fully offline

Everything runs on your own machine. No internet needed, no account, no uploads. The local LLM (a GGUF model you can replace) does the guessing right here.}

  • ⚡ Plug and play — first launch wakes the local model automatically

  • 🔌 Swappable — drop any GGUF model you like into the models folder

  • 🛡️ Privacy — every teach goes nowhere but your machine

🖥️ Minimal interface

Two states: pick a series → watch full-screen + type in the teach drawer. That's it. Nothing else gets in the way.}

  • 🖱️ Click a card to enter a series, click the teach drawer to type

  • ⌨️ F11 fullscreen / Esc back to home / Enter to open the teach drawer

  • 🎮 Legacy W/D/S/A frame controls are still there if you need frame-by-frame inspection

🔧 Tech stack glance

▼ 01|User layer

Series picker · Full-screen player · Teach drawer · Queue HUD · Context menu

▼ 02|AI teach core

AIDirector · Local LLM · Instruction parse · Action match · Fallback chain

▼ 03|Show engine

Dual-video pre-swap · No-gap transition · Buffer preload · Event sync

▼ 04|State layer

Play queue · Current index · History cache · Two-way sync

▼ 05|Local AI runtime

llama-server · GGUF model · Port 9141 · Auto start/cleanup

▼ 06|Data layer

Local series config · Local playlist · Video assets · Fully offline

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This software includes modified Tauri 2 application, llama.cpp (MIT) by ggml-org, Hunyuan 7B by Tencent (see model card for license), and FFmpeg (LGPL) as external tool. Full license texts are included in the installation directory.

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You teach it how to do something.

It tries to understand you.

Then it shows you what it got.

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AI Generated Content Disclosure

The developers describe how their game uses AI Generated Content like this:

Powered by generative AI for instructional content creation and AI chat interactions.This game uses generative AI in the following ways:

• AI-Powered Instructional Content: All bathing demonstration videos and visual teaching materials are created using AI image/video generation technology for educational purposes.

• AI Teaching Assistant: An in-game AI chat assistant provides personalized guidance, answers bathing-related questions, and offers tips based on user interactions.

Mature Content Description

The developers describe the content like this:

The game contains female bathing instructional content, teaching proper bathing techniques. All scenes are covered by foam, clothing, or other means. No exposed private body parts, no pornographic content.

System Requirements

    Minimum:
    • Requires a 64-bit processor and operating system
    • OS: Windows 10 64-bit
    • Processor: 2.0 GHz Dual-Core Processor
    • Memory: 4 GB RAM
    • Graphics: DirectX 11 compatible GPU
    • DirectX: Version 11
    • Network: Broadband Internet connection
    • Storage: 2 GB available space
    • Sound Card: Any
    • Additional Notes: Local AI model requires approximately 1.5 GB of storage space. WebView2 Runtime will be installed automatically if not present.
    Recommended:
    • Requires a 64-bit processor and operating system
    • OS: Windows 11 64-bit
    • Processor: 2.5 GHz Quad-Core Processor
    • Memory: 8 GB RAM
    • Graphics: DirectX 12 compatible GPU
    • DirectX: Version 12
    • Network: Broadband Internet connection
    • Storage: 4 GB available space
    • Sound Card: Any
    • Additional Notes: Cloud API usage does not require high-end hardware. 8 GB or more system RAM (RAM) is recommended for the best local model experience.
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