A court-driven, text-based strategy game where your words become decrees. Two petitions per turn—type carefully, face the backlash, and remember: you WERE a King.

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About This Game

A court-driven text-based political thriller in Joseon. Type decrees—your tone shapes consequences.

You are the King. Each day, the court brings two petitions. You answer by typing a decree—and your tone becomes part of the decision.

  • Deterministic outcomes. Your choices trigger designed consequences (no hidden RNG).

  • The court is the voice. AI is used to phrase and interpret court dialogue—not to decide outcomes.

What you do

  • Read petitions from ministers, factions, and the people

  • Issue decrees in natural language (with tone)

  • Watch consequences unfold—sometimes immediately, sometimes later

  • Survive crises: unrest, corruption, war pressure, and court politics

  • Reach an ending that records your reign

Why it’s different

Most choice games ask what you choose.
I WAS A KING asks how you speak.
When words become law, responsibility changes.

Features

  • 4-hour complete experience (no live service, no endless grind)

  • Multiple endings and achievement-style reign records

  • English & Korean support

  • Designed to be replayed for different governing styles

Note on AI: Used only for court “voice” and phrasing. Outcomes are deterministic and authored.

AI Generated Content Disclosure

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

AI is used to generate the voices and advice of two opposing royal advisers (Left and Right Councillor). Each turn they comment on the situation and recommend different actions. If the player’s decree aligns more closely with one adviser’s stance, that adviser’s credibility increases while the other’s decreases.

As the credibility gap grows, public trust is affected, reflecting rising factional tension. If an adviser’s credibility reaches zero, they resign—sometimes angrily—warning the player not to dismiss their counsel. The vacant seat is then filled by a successor adviser, represented by a different local LLM model. This creates shifting personalities and advice styles across runs.

AI does not determine the game’s outcomes. Core consequences and metric changes are resolved by the game’s rule system; AI provides narrative and guidance within that system.

System Requirements

Windows
macOS
SteamOS + Linux
    Minimum:
    • Requires a 64-bit processor and operating system
    • OS: Windows 11
    • Processor: Intel core i5 6600 / AMD Ryzen 5 1600X or higher
    • Memory: 16 GB RAM
    • Graphics: Geforce RTX 2060 or higher
    • Storage: 30 GB available space
    • Additional Notes: in contrast to its appearence, it uses LLM (Local language Model)
    Recommended:
    • Requires a 64-bit processor and operating system
    • OS: Windows 11
    • Processor: Intel core i5 12400 / AMD Ryzen 5 5600X or higher
    • Graphics: Geforce RTX 3060 or higher
    • Additional Notes: in contrast to its appearence, it uses LLM (Local language Model)
    Minimum:
    • OS: macos Sonoma (macos 14) or Higher
    • Processor: Apple M1 or higher
    • Memory: 16 GB RAM
    • Storage: 30 GB available space
    • Additional Notes: in contrast to its appearence, it uses LLM (Local language Model)
    Recommended:
    • OS: macos Sonoma (macos 14) or Higher
    • Processor: Apple M2 Pro or higher
    • Memory: 16 GB RAM
    • Additional Notes: in contrast to its appearence, it uses LLM (Local language Model)
* Starting February 15, 2024, the Steam Client will no longer support 32-bit games or macOS 10.14 or lower.
    Minimum:
    • OS: Ubuntu 24.04 or higher
    • Processor: Intel core i5 6600 / Ryzen 5 1600X or higher
    • Memory: 16 MB RAM
    • Graphics: Geforce RTX 2060 or higher
    • Additional Notes: in contrast to its appearence, it uses LLM (Local language Model)
    Recommended:
    • OS: Ubuntu 24.04 or higher
    • Processor: Intel core i5 10400 / AMD Ryzen 5 3600X or higher
    • Memory: 16 MB RAM
    • Graphics: Geforce RTX 3080 or higher
    • Additional Notes: in contrast to its appearence, it uses LLM (Local language Model)
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