What it studies
CORTEX studies how multi-agent intelligence and large language models can support manufacturing contexts where latency, review, constraints, and operational consequence matter. The research framing is grounded in the Ciudad Juárez–El Paso border manufacturing corridor, where bilingual operator workflows, USMCA logistics, and cross-border data sovereignty shape what an industrial AI instrument is allowed to do.
Artifact or evidence produced
CORTEX produces agent-coordinated manufacturing intelligence workflows and reviewable reasoning traces — observation, retrieval, exception classification, supervisor summary, and audit-grade provenance — so a human reviewer on either side of the border can inspect how a recommendation was assembled.
Why 14 agents
A single general LLM call cannot separate observation from recommendation, recommendation from action, and action from authorization. CORTEX's 14 specialized agents make those boundaries explicit so manufacturing review, audit, and shift handoff remain legible.
Research context
CORTEX is documented as part of Celaya Solutions Research Lab's work on local-first AI systems, large language model architecture, provenance-aware research instruments, industrial AI workflows, maquiladora and border manufacturing AI, archival intelligence systems, multi-agent orchestration tools, and human-judgment-preserving AI architecture.