Built by Systemores LLC (Delaware, United States) to measure the latent behavioral dispositions, failure modes, and regulatory risks of autonomous AI agents before and during production execution.
Traditional unit tests check deterministic string matching, yet autonomous AI agents fail probabilistically when pressured by ambiguous users, adversarial prompt injections, or conflicting tool schemas. Systemores adapts Henry Murray's Needs-Press psychometric model across 21 behavioral variables alongside IPIP-NEO-120 (30 Big Five OCEAN sub-facets), MBTI, and DISC indicators to make agent personality architecture measurable and repeatable.
Systemores System One (gemini-decision-1) operates as a sub-250ms inline circuit breaker between model generation and real-world side effects, issuing explicit DISPATCH, INTERCEPT, QUARANTINE, or STRIP_TOOL decisions based on policy compliance and sycophancy probability. System Two complements inline gating with deep pre-deployment stress tests, multi-turn drift simulations, OpenTelemetry trace cost-trap audits, MCP 2026 tool schema verification, and compliance dossiers aligned with EEOC, ECOA, Fair Housing, COPPA, EU AI Act (EU 2024/1689), NIST AI RMF 1.0, and SOC 2 AI Addendums.
We never persist submitted system prompts, tool payloads, or audit outputs to train foundation models or build customer prompt corpora. Every evaluation runs ephemerally in memory and discards prompt text immediately on completion. Review full commitments in our Privacy Policy or explore the companion behavioral intelligence catalog at profile.systemores.com.