REAL-WORLD INTERPRETIVE
One-sentence brief
Batch generation becomes unsafe when results can be reordered, merged, duplicated, or silently substituted after timeouts and partial retries.
REAL-WORLD INTERPRETIVE
AI-DRIVEN WORLD SAFETY
Batch Correlation, Ordering, Idempotency, and Retry
A deterministic transport contract that maps every character response to one request, preserves order, handles retries safely, and keeps identity separate from network metadata.
LEVEL 1
ORIENTATION
Why this matters
REAL-WORLD INTERPRETIVE
Three key points
- Every item has a unique client-provided correlation ID.
- Response order and item index remain explicit.
- Idempotency prevents duplicate work without pretending delivery is exactly once.
LEVEL 2
WORKING BRIEF
Evidence, context, and limits
REAL-WORLD INTERPRETIVE
Use one canonical item collection
Accept one documented array name. A legacy alias may be mapped only when the canonical field is absent; providing both should fail rather than merge ambiguous intent.
- No first-wins ambiguity.
- Version deprecations remain visible.
REAL-WORLD INTERPRETIVE
Require unique client item IDs
Each item declares a stable client item ID that is echoed in every outcome. Missing or duplicate IDs reject the batch before generation because downstream mapping would be unsafe.
- Name is not a correlation key.
- Seed is not a correlation key.
REAL-WORLD INTERPRETIVE
Preserve ordering explicitly
Return item index and an ordered ID list so clients can verify that concurrent processing did not change the request mapping. Partial failures still occupy their original positions.
- Do not rely only on array order.
- Do not compact away failed items.
REAL-WORLD INTERPRETIVE
Use idempotency with payload fingerprints
Bind a tenant-scoped idempotency key to a canonical request fingerprint. Reuse with the same payload returns the stored result; in-progress duplicates conflict; reuse with a different payload fails.
- Exclude volatile transport metadata from the fingerprint.
- Define retention and concurrency behavior.
REAL-WORLD INTERPRETIVE
Retry only retriable items
Construct a new batch for failed retriable items while preserving client item IDs and using a new idempotency key. Identity or constraint failures require human or input repair, not blind retries.
- Back off on rate limits.
- Preserve the original batch lineage.
LEVEL 3
COMPLETE DOSSIER
Limitations, game links, and review context
DISPUTED / MULTIPLE ACCOUNTS
Known limitations and gaps
- The six supplied reports are preserved research leads. Their filenames, organizations, citations, examples, thresholds, and technical detail do not authenticate authorship, sponsorship, product status, or current factual accuracy.
- The public section is design literacy, not a production specification. It does not expose provider credentials, prompts, live endpoints, activation tokens, autonomous tool use, or implementation code for a running agent system.
- Population-quality measures must detect mechanical repetition and coherence failures without treating demographic rarity, disability, nationality, language, religion, gender, migration, or another protected characteristic as a defect or quality score.
- Thresholds, similarity methods, sampling plans, language rules, and runtime budgets require representative testing, privacy review, accessibility review, cultural and linguistic review, security review, and accountable human approval before any production use.
REAL-WORLD INTERPRETIVE
Related public learning
- Human and NPC psychologyKeep personhood, role, state, relationships, pressure, and recovery separate.
- Deterministic core and generative narrativeKeep validated state authoritative while generation remains bounded and correctable.
- Virtual-world governanceConnect AI design to consent, justice, accessibility, and repair.
REAL-WORLD INTERPRETIVE
Glossary cross-reference
Terms are defined for this site’s evidence method, not as universal legal or clinical definitions.
REAL-WORLD INTERPRETIVE
Decision matrix
| Failure type | Retriable? | Required client action |
|---|---|---|
| Timeout or transient generation failure | Yes, bounded | New idempotency key; same client item ID |
| Duplicate or missing client item ID | No | Repair batch identity contract |
| Identity substitution | No | Revise generation or constraints; preserve requested identity |
| Rate limit | Yes after declared delay | Respect Retry-After and jitter |
| Semantic contradiction | Usually no | Correct source requirements or review |
REAL-WORLD INTERPRETIVE
Publication audit checklist
Identity and agency
Does the design preserve the exact fictional identity, ordinary life, independent goals, and ability to refuse rather than reducing the character to a role or prompt?
Pass condition: Identity fields are stable, state is separate, protected traits are not quality scores, and silent substitution is impossible.
Evidence and review
Can every transition, validation result, accepted fingerprint, exception, and human decision be traced to a versioned record?
Pass condition: Automated checks, human review, activation authority, and production approval remain separate and explicit.
Runtime boundary
Can untrusted provider output, administrative evidence, stale revisions, or private data enter live context or binding state?
Pass condition: Only allowlisted, current, reviewed projections and bounded scene or memory packets can be used; failures degrade safely.
Correction and retirement
Can a changed source, identity revision, harmful behavior, or failed review invalidate downstream use without destroying audit history?
Pass condition: Supersession, pause, rollback, correction, and permanent retirement are defined and testable.
LEVEL 4
RESEARCH EDITION
Sources, methods, and stable links
REAL-WORLD INTERPRETIVE
Linked reports
- Method: Transparent, Revisable, and Explicitly LimitedComplete public report · 533 words
-
Human and NPC Psychology: Person, Role, State, and AgencyProtected research reference; no public report route in this release.
- Intelligence Ethics: Necessity, Proportionality, and Human ConsequenceComplete public report · 513 words
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.
NEXT
CONTINUE
Related learning
AI-Driven World SafetyAI Mission Generation: Reliability, Verification, and Fail-ForwardA mission pipeline in which generative systems propose bounded narrative variations while deterministic validators ensure that objectives, locations, rewards, permissions, and exits are real.AI-Driven World SafetyAI NPC Cost, Latency, and Graceful DegradationA bounded architecture for generative characters that protects budget, responsiveness, privacy, and authoritative game state under normal play, spikes, outages, and abuse.AI-Driven World SafetyAI NPC Identity, Consent, Memory, and ProvenanceA clear boundary for AI-driven characters: players know when generative systems are involved, what data is used, what the NPC remembers, and which outputs can change game state.AI-Driven World SafetyChronology, Cross-Field, and World-Fact CoherenceA method for finding impossible timelines, contradictory fields, unsupported lore, and state changes that need temporal explanation. Learning pathRuntime Projection, Memory, and ReliabilityKeep creator evidence, accepted projections, scene state, memory, prompt context, budgets, fallbacks, identity, and incident response separate.