Use Cases · Domain 06
E-commerce, gaming & digital platforms
High-velocity, multi-agent consumer ecosystems — where automated systems move fast enough to lose real money before a human notices.
Three lenses on the same proof engine
AI-generated code
Game-logic transpilationAudit legacy game engines ported to modern C++ or WebAssembly by AI agents, guarding against memory leaks and state desynchronization.
Model outcomes
Dynamic pricing enginesProve an AI pricing optimizer never sets a price below the raw cost of goods sold —
price >= cogs — no matter how it tunes.Fraud-detection classificationProve an AI payment-fraud blocker operates within its acceptable operational bounds and never fabricates transaction data to hit a metric.
Agent behavior
NPC & simulation logicAudit the state-machine logic of autonomous characters in enterprise training simulations to prove they cannot fall into a behavioral looping trap.
Ad-buying optimization agentsMonitor agents managing programmatic ad spend to prevent automated click-fraud exploitation of the budget.
Bring your domain's hardest rule
If you can state the rule that must hold, an authorized TrueVectors evaluation can check the AI's work against it — deterministically, with a receipt. Tell us the invariant that keeps you up at night.
TrueVectors verifies code, outcomes, and agent behavior. Trust through proof.