Internal consistency
Compare times, places, relationships, terminology, and claims against known records.
Disclosed synthetic sources
AI characters may report, remember, infer, omit, misunderstand, or deceive as part of a fictional intelligence operation. Generated language never creates authoritative mission facts, rewards, access, evidence, or irreversible outcomes.
Four separate layers
Persona, memory, reporting, and world state remain different systems.
Source evaluation
Players should be able to understand why a synthetic source may be unreliable: limited access, stale memory, conflicting tasking, source motive, model degradation, adversarial input, or deliberate deception. Random unmarked fabrication is not fair intelligence gameplay.
Compare times, places, relationships, terminology, and claims against known records.
Check metadata, channel behavior, retrieval context, version, and whether the communication path was altered.
Assess institutional pressure, self-protection, reward, fear, access, and desired effect without treating behavior as infallible lie detection.
Compare the claim with observations, imagery, records, other sources, and actual server-owned mission state.
Source verification exercise
Run the available checks. The exercise demonstrates uncertainty and corroboration; it does not expose a real target or real-world method.
Do not convert a plausible narrative into an authoritative mission fact.
Fail-forward rule
Discovering that a synthetic source was wrong can reveal a compromised channel, stale dataset, adversarial prompt, institutional conflict, deception campaign, or collection gap. The player may lose time or access, but the result should create actionable fictional intelligence rather than an arbitrary empty quest.
Read the full AI mission reportDeep research links
The reports examine bounded generation, source unreliability, persistent NPCs, player verification tools, and the separation of generated language from authoritative game state.