A.S.I.F.
Agentic Systems Integrity Framework
A self-measuring multi-agent control plane.
Integrity isn’t asserted — it’s earned by self-measurement: every claim carries its probe, every state transition is audited, and the generator never grades its own work.
This page describes the system we run, not a product we sell. The origin research report is the evidence.
Independent verification runs adversarially on a foreign foundation model — OpenAI GPT-5 (Codex) — a different model family reviews the work, standing on both machines, so the generator never grades itself at the model level. The system runs across two sites (CLX9 + NXTG-AI) with adversarial review standing on both — integrity holds across the distribution and scales horizontally with it.
Governance Layer
- ▸NEXUS dashboards — vision-to-execution per project
- ▸CoS Directives — typed, prioritized, estimated, chained
- ▸ORBIT loop — Observe → Reason → Build → Inspect → Turn
- ▸CRUCIBLE protocol — 9-gate test quality forensics
Intelligence Layer
- ▸Dx3 cognitive brain — semantic memory across portfolio
- ▸Cross-project recall — every team benefits from every other
- ▸Portfolio Intelligence signals — reuse, patterns, lessons
- ▸Idle Time Protocol — self-improvement when no directives
Forge
OPERATIONALMulti-agent orchestration engine. 22 agents. Governance-as-code.
Faultline
OPERATIONALAI claim forensics. Multi-provider verification. Mapped to the global AI regulatory landscape.
Maps to the EU AI Act, Colorado AI Act, Texas (TRAIGA), California, NYC Local Law 144, Quebec Law 25, and the NIST AI RMF — not a compliance guarantee.
OneDB
ARCHIVEDMerged into Dx3 (ADR-012). Its policy-enforced context intelligence — MCP-native, pgvector + Apache AGE — now lives inside Dx3, not as a separate live organ.
Dx3 Control Plane
ACTIVE DEVELOPMENTEnterprise AI runtime. Contract registries. Distributed tracing.
arXiv Paper
FORTHCOMINGFormal specification of governance-enabled autonomy for AI agent teams.
ASIF is the governance substrate of NXTG.AI. Built by Asif Waliuddin.