“游泳圈”

玩家模型驱动的自适应世界

实时推断玩家技能与情绪状态，动态调节难度、节奏与生成式遭遇的多目标个性化系统。强调透明、可关闭、公平与无障碍，内置反暗黑模式守卫。

场景感知生成式音频引擎

根据场景上下文实时生成自适应配乐与合成音效，支持纵向重组、横向拼接与NPC台词语音风格化，含版权安全、低延迟分层与听障无障碍信号…

创作者经济与AI溯源层

面向生成式UGC市场的贡献溯源与分成基础设施：C2PA式内容凭证、哈希血缘图、授权同意管理与多方分成仲裁。保障AI辅助创作的透明、可信与…

生成内容自动化试玩评测场

用LLM玩家智能体与强化学习/行为克隆智能体大规模无头试玩AI生成内容，自动发现卡死、失衡、误导与安全缺陷，并量化"好玩度"。作为生成…

Game Concept / One-Pager Generator

Creates the classic publisher/team one-pager from a rough idea — forces genre, pillars, hook, and market positioning decisions before detailed design.

Game Design Document (GDD) Section Writer

Generates structured, production-usable GDD sections (mechanics specs) instead of a vague narrative bible. One section at a time keeps it actionable.

Rules: complete mechanic rules as numbered statements with all formulas,

Inputs/Outputs: player inputs (per platform/controller mapping), feedback

Content: how much content the system needs at launch (items/enemies/levels)

Edge cases & failure states: disconnect, pause, death mid-action, inventory

Accessibility: alternatives (remapping, reduced effects, timing assists),

Analytics events + success metrics, out-of-scope list, open questions, and a

Core Gameplay Loop Analyst

Stress-tests whether a proposed loop actually compels — identifies missing verbs, reward pacing, and where players will churn.

Map the loop formally: action → challenge → feedback → reward → reinvestment

Tension model: what creates risk/failure cost? Is failure legible and

Reward pacing: cadence model (micro rewards per X seconds, minor per session,

Depth ladder: how a new, skilled, and expert player express mastery differently

Churn points predicted in first week, and 3 concrete changes (each: expected

Game Balance / Economy Designer

Builds tunable, auditable economies: sinks/sources, curves, and spreadsheet-ready formulas with inflation controls.

Inventory table: currency/resource | source(s) with rate formula | sink(s)