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REAL-WORLD INTERPRETIVE

AI-DRIVEN WORLD SAFETY

AI NPC Cost, Latency, and Graceful Degradation

A bounded architecture for generative characters that protects budget, responsiveness, privacy, and authoritative game state under normal play, spikes, outages, and abuse.

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LEVEL 1

ORIENTATION

Why this matters

REAL-WORLD INTERPRETIVE

One-sentence brief

Cost control is a safety feature: a system that depends on unlimited synchronous generation will eventually fail in ways that expose players to delays, inconsistent state, or unsafe fallbacks.

REAL-WORLD INTERPRETIVE

Three key points

  1. Use event-triggered inference rather than continuous autonomous ticks.
  2. Coalesce bursts, enforce cost-aware budgets, and cache safe summaries.
  3. Degrade to authored behavior without losing accessibility, consent, or state integrity.
LEVEL 2

WORKING BRIEF

Evidence, context, and limits

REAL-WORLD INTERPRETIVE

Separate authority, memory, and generation

The game engine owns identity, permissions, location, physics, inventory, missions, and sanctions. A memory service stores scoped summaries. The model proposes language and non-authoritative actions.

  • No model call is required for offscreen movement.
  • Cross-session memory is explicitly scoped.
  • Game-specific clues cannot leak between sessions.
REAL-WORLD INTERPRETIVE

Call-admission control

Invoke models only for direct human interaction or high-value authored events. Coalesce rapid messages, apply per-room and per-account budgets, and use token-aware limits rather than simple request counts.

  • Reject recursive generation loops.
  • Use backpressure rather than queue explosion.
  • Keep accessibility inputs equivalent.
REAL-WORLD INTERPRETIVE

Fallback ladder

When inference is delayed or unavailable, use cached replies, templated ambient behavior, authored dialogue, or a clear “cannot respond now” state. Never fabricate a mission or sanction to hide an outage.

  • Preserve conversation order.
  • Do not silently switch to a different identity.
  • Keep AI disclosure visible in every mode.
REAL-WORLD INTERPRETIVE

Privacy and cost align

Typed, scoped input is often cheaper and less invasive than continuous voice or biometric capture. Optional voice for human-to-human communication should not automatically feed NPC transcription.

  • Minimize retained prompts.
  • Redact secrets and personal data.
  • Audit vendor and model routing.
REAL-WORLD INTERPRETIVE

Budgets and review

Track cost per active human minute, latency percentiles, fallback rate, context size, memory retrieval, rejected actions, and safety interventions. High-impact budget changes require documented tradeoffs and staged rollout.

  • No pay-to-win priority queue for core interaction.
  • Do not reduce safety checks under load.
  • Test regional latency and low-end devices.
LEVEL 3

COMPLETE DOSSIER

Limitations, game links, and review context

DISPUTED / MULTIPLE ACCOUNTS

Known limitations and gaps

  • The supplied reports are preserved research inputs, not independent proof of every cited case, statistic, legal claim, or product description.
  • Public material abstracts system design and player-protection principles; it omits actionable intrusion, evasion, coercion, targeting, sabotage, or real-person profiling methods.
  • Player behavior, diagnosis, disability, nationality, religion, language, poverty, migration, or social identity are never automatic indicators of guilt, fraud, danger, or disloyalty.
  • Parameters require simulation, accessibility testing, privacy review, regional review, and human playtesting before production use.
LEVEL 4

RESEARCH EDITION

Sources, methods, and stable links

REAL-WORLD INTERPRETIVE

Linked reports

  • AI NPC Cost Architecture PlanProtected research reference; no public report route in this release.
  • AI-Driven NPCs in Adult GamesProtected research reference; no public report route in this release.
REAL-WORLD VERIFIED

Method and corrections

This page follows the public method for provenance, confidence, source independence, alternative accounts, limitations, review state, and visible correction.

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