scbe-system-engine

Multi-agent workflows across GitHub, Linear, and Notion are coordinated through browser-backed routing and service connectors. The system engine orchestrates AI-to-AI tasks end-to-end while enforcing deterministic math validation and dual-output traceability.

A deterministic dual-output contract enforces AI governance by generating a StateVector and a DecisionRecord for every agent action. This ensures traceable, auditable decisions across multi-agent automation workflows and service connectors.

Traceable agent decisions in automated patching workflows are enforced by the dual-output contract, yielding a StateVector and DecisionRecord. The system supplies scripts and references to enable self-improvement loops and governance patches.

Yes, Zapier and Hugging Face connectors support end-to-end multi-agent automation. The system engine routes tasks through these services alongside GitHub, Notion, and Linear, generating a tri-fold action summary to guide build, document, and route steps.

Browser-backed routing for AI-to-AI workflows is needed when coordinating multi-agent tasks across external services like GitHub and Hugging Face. It enables auditable governance, patchability, and deterministic math validation across the orchestration pipeline.

The tri-fold action summary guides build, document, and route steps but is limited to the orchestration context of the system engine. It relies on the dual-output contract and available service connectors to function correctly within the multi-agent workflow.