LEARNING PATH // RUNTIME ARCHITECTS, GAME SYSTEMS ENGINEERS, PRIVACY AND SAFETY REVIEWERS, AND ACCESSIBILITY TEAMS
Keep creator evidence, accepted projections, scene state, memory, prompt context, budgets, fallbacks, identity, and incident response separate.
Estimated total: 136 minutes
This learning path is repository-authored curation of public educational routes. It records no participant testing, accepts no files or free text, sends no choices to a remote service, and grants no source authentication, specialist approval, accessibility certification, publication authority, activation authority, production approval, or tuning authority.
Current review status: Repository-authored WIP.23 synthesis — privacy, security, reliability, accessibility, and player review pending
A four-part architecture that separates complete authoring evidence from a compact accepted character projection, volatile scene state, and turn-specific retrieved memory.
/game-systems/ai/creator-artifact-runtime-projection-and-scene-stateA bounded memory model with stable IDs, event and learned dates, provenance, confidence, privacy, revision, contradiction, retrieval, and correction.
/game-systems/ai/memory-bootstrap-retrieval-supersession-and-forgettingA cost- and cognition-aware approach to prioritizing identity, scene facts, memories, dialogue, and responses while preserving safety and accessibility under load.
/game-systems/ai/context-budgets-latency-and-graceful-degradationA player-facing and technical boundary for showing how a fictional character is controlled while excluding administrative evidence, hidden prompts, stale revisions, and unrelated private data from live context.
/game-systems/ai/controller-disclosure-runtime-context-and-prompt-boundariesA deterministic transport contract that maps every character response to one request, preserves order, handles retries safely, and keeps identity separate from network metadata.
/game-systems/ai/batch-correlation-ordering-idempotency-and-retryA machine-readable error and test contract for distinguishing request failure, item failure, retriable transport problems, semantic rejection, and batch-level quality rejection.
/game-systems/ai/structured-errors-partial-failure-and-conformanceOperational safeguards for removing a character revision from live use after outage, anomaly, harmful behavior, identity drift, privacy breach, or invalidated evidence.
/game-systems/ai/pause-retirement-rollback-and-incident-responseA bounded architecture for generative characters that protects budget, responsiveness, privacy, and authoritative game state under normal play, spikes, outages, and abuse.
/game-systems/ai/cost-latency-and-graceful-degradation