Every layer of the architecture.
Multi-agent orchestration · explainability · audit · learning
PACCS is not a single model. It's a layered intelligence architecture — agents, orchestrator, explainability engine, audit trail, learning loop, override controls. Every layer is observable.
Multi-agent transparency.
Four specialised agents — Narrative, Visual Language, Festival Alignment, Marketability — debate in parallel. Every score traces to its agent of origin. Inter-agent variance is reported as a confidence signal.
Live agent activity
Watch each agent's signal in real time on the Intelligence Console. Active analysis is colour-coded; idle agents are visible as such.
View Console →Defensible orchestration
The orchestrator resolves divergence with explicit weighting and exposes the reasoning. Override rates and variance are tracked in the audit log.
Every score, sourced
Each component of every score traces to a specific corpus record, comparable, or derivation. Provenance is a feature, not a footnote.
See Citations →Human-in-command, by design.
PACCS surfaces decisions; programmers make them. The override channel is always open, the audit trail is permanent, and learning loops back the operator's signal as labelled training data.
Compliance & responsible deployment.
Every decision is logged with complete audit trail, human oversight at critical points, and transparent reasoning. Designed to meet and exceed industry guidelines for responsible AI deployment.
Full feature showcase launches on PACCS soon
Drop your email and we'll let you know the moment this feature is live. No marketing list, no other email — just one update when it ships.