01AI gaming
Deterministic Gates vs AI Judges for Game Agents
A practical decision framework for separating non-negotiable agent safety checks, subjective model scoring and human release authority.
- Words
- 1,696
- Topic
- ai systems
- Sources
- 4
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Reviewed references
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New articles appear here when their editorial review is complete and their publication date arrives.
01
02AI gaming
Planner, Binder, Executor: Contracts for Safe AI Game Agents
A contract-level guide to separating language planning, deterministic candidate binding and authoritative execution in a shared MMORPG.
- Words
- 1,409
- Topic
- ai systems
- Sources
- 3
03AI gaming
DLSS 5 in Lineage II High Five: What It Changes and What We Are Testing
A source-linked guide to DLSS 5, the Lineage2AI High Five visual experiment, and the evidence still required before calling it a verified native integration.
- Words
- 1,964
- Topic
- case studies
- Sources
- 4
04AI gaming
Offline vs Online AI Calibration: How Agents Improve Safely
A rigorous guide to offline calibration, online measurement and why a live MMORPG agent should not rewrite its own policy or permissions.
- Words
- 1,524
- Topic
- ai systems
- Sources
- 4
05AI gaming
Server-Authoritative AI Agents in MMORPGs
A reference architecture for letting LLM agents interpret player intent without giving generated output direct control of a shared MMORPG world.
- Words
- 1,220
- Topic
- architecture server
- Sources
- 4
06AI gaming
What Is an Agentic NPC? A Practical Definition for Games
An evidence-based definition of agentic NPCs: what makes them different from dialogue chatbots, scripted bots and unconstrained autonomous agents.
- Words
- 1,217
- Topic
- glossary agentic
- Sources
- 4
How this archive earns trust
Useful answers, honest context.
Lineage2AI is our own game project, and we say so. Guides should answer real questions, draw on relevant sources or hands-on work, and explain limitations without turning into marketing copy.
Clear explanations
We explain what a system actually does, who it helps and where the trade-offs begin.
Tests keep their scope
Hands-on observations and external research are identified, with dates and limitations when they matter.
The server remains truth
Model output is described as a proposal. Deterministic game-server validation owns identity, legality and every shared-world side effect.
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New guides are reviewed before their scheduled release and join the site only when they are ready.
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The same public truth, in machine-readable forms.
Human pages, Markdown alternates, sitemap entries and LLM discovery are compiled from one eligible registry. Planned topics and future articles never appear as published facts.