Abstract
Deploying a foundation language model into a real operational domain — hosting, healthcare, finance, government, manufacturing, logistics — exposes a class of failures that the model layer cannot, by its probabilistic nature, eliminate: fabrication of facts never retrieved, unreliable multi-step action, loss of structured memory across sessions and channels, the absence of an enforceable human-control gate, and uncontrolled exposure of private data. This disclosure describes a set of structural mechanisms that bound these failures at a layer outside the model — the orchestration kernel — rather than attempting to train them away inside the model. The disclosed mechanisms are: (1) a nine-level hierarchical context model resolved in a fixed low-to-high order with a no-skip invariant and conformance-graded requirements; (2) intent classification performed before tool selection, narrowing the model's visible tool surface to a classifier-selected subset so that an unseen tool cannot be invoked; (3) an anti-fabrication contract whose four normative components are a per-session verbatim fact ledger, grounded-narration constraints, intent-routed tool-surface restriction, and a default-on PII masking gate, with an explicit provenance-vs-narration scope distinction layered over them; (4) a single kernel-level chain orchestrator enforcing explicit per-step dependency declaration, topological reads-before-writes execution, and fail-fast on dropped destructive steps; (5) typed step-output references resolved from verbatim producer output; (6) an architecturally enforced two-step propose-confirm-execute gate with a 0–4 safety taxonomy; (7) a proactive layer bound to the same confirmation gate; (8) channel neutrality with cross-channel continuity; (9) observability with a SHA-256 hash-chained tamper-evident audit trail; and (10) a validate-before-register modular extension contract. The disclosed novelty is the combination of these as bound, normative, kernel-grade primitives, not any single element in isolation.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Scerbacov, Valentin, "Structural Mechanisms for a Modular Proactive AI Cloud Operating System: Hierarchical Context Resolution, Anti-Fabrication-Bounded Narration, and Human-Confirmed Multi-Step Action (ICNLI)", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/10456