REAL-WORLD INTERPRETIVE
One-sentence brief
Opaque errors lead to destructive retries, lost successful items, and silent quality failures. Conformance examples turn the contract into testable behavior.
REAL-WORLD INTERPRETIVE
AI-DRIVEN WORLD SAFETY
Structured Errors, Partial Failure, and Conformance
A machine-readable error and test contract for distinguishing request failure, item failure, retriable transport problems, semantic rejection, and batch-level quality rejection.
LEVEL 1
ORIENTATION
Why this matters
REAL-WORLD INTERPRETIVE
Three key points
- Errors need stable codes, paths, detail, retriability, and corrective action.
- Partial success must preserve identity and ordering.
- Conformance tests include healthy, malformed, repetitive, multilingual, and ambiguous populations.
LEVEL 2
WORKING BRIEF
Evidence, context, and limits
REAL-WORLD INTERPRETIVE
Use structured problem details
Represent type, title, status, detail, instance, item index, client item ID, invalid paths, retriable state, and corrective action in a stable schema.
- Human-readable text may change.
- Machine codes and field paths remain stable.
REAL-WORLD INTERPRETIVE
Separate batch and item failure
Malformed JSON, ambiguous aliases, duplicate IDs, or oversized payloads can invalidate the whole batch. Generation, identity, semantic, or policy outcomes may be item-specific when mapping remains intact.
- Atomic mode can be an explicit option.
- Do not discard successful work by default.
REAL-WORLD INTERPRETIVE
Allow population-level rejection
A batch can be structurally valid while collectively repetitive. Return population findings and a recommendation separate from each item’s schema status.
- Individual pass does not imply activate.
- Explain the failing population dimensions.
REAL-WORLD INTERPRETIVE
Maintain a conformance corpus
Test single items, large ordered batches, duplicate names, Unicode, identity conflicts, exact and normalized duplicates, formulaic dialogue, identical behavior, partial records, multilingual cases, and false-positive challenges.
- Expected codes and paths are versioned.
- Corrected examples accompany failures.
REAL-WORLD INTERPRETIVE
Minimize error leakage
Error detail should support repair without exposing private biography text, hidden prompts, credentials, other characters’ data, or sensitive reviewer notes.
- Use bounded excerpts.
- Separate public and administrative detail.
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
| Condition | Scope | Response principle |
|---|---|---|
| Invalid JSON or ambiguous collection aliases | Whole request | Reject before item processing |
| Duplicate client item IDs | Whole batch | Reject identity-unsafe request |
| One item violates identity or semantics | Item or atomic batch | Return exact path and non-retriable reason |
| Population collapses into templates | Population | Reject or require review despite item schema passes |
| Temporary provider outage | Affected item or job | Retriable with backoff and idempotency |
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
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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.
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CONTINUE
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