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ControlPlane

Unified operator control plane for real-time decision visibility, execution tracing, and cross-system observability across SignalForge, ChronoFlow, and A.I.L.


Overview

ControlPlane is the operator-facing system for observing and understanding activity across a distributed platform.

It provides a unified interface to:

  • View decisions across systems
  • Trace execution flows end-to-end
  • Understand how signals, rules, intelligence, and workflows interact
  • Navigate between related system entities without losing context

This is a read-only control system focused on clarity, traceability, and operational insight.


Architecture Role

ControlPlane sits on top of the platform:

  • SignalForge → detection and rule-based decisions
  • ChronoFlow → workflow orchestration and execution
  • A.I.L. (AI Intelligence Layer) → intelligence and decision augmentation

Model:

Core → produces truth
A.I.L. → produces intelligence
ControlPlane → produces operator visibility


Key Features

Unified Decision Visibility

  • Cross-system decision list (SignalForge + A.I.L.)
  • Shared decision model
  • Consistent rendering across systems

Cross-System Trace Timeline

  • End-to-end timeline across:
    • signals
    • rules
    • alerts
    • executions
    • intelligence decisions
  • Honest correlation (no inferred relationships)

Execution Visibility

  • ChronoFlow execution detail integration
  • Linked navigation between decisions and executions

A.I.L. Integration

  • Decision visibility aligned with platform model
  • Bounded execution metadata (no raw prompts or memory exposure)

Principles

  • Read-only by design
  • No hidden logic in the UI
  • No fake correlations
  • Backend is the source of truth
  • Operator clarity over convenience

Tech Stack

  • Next.js (App Router)
  • TypeScript
  • Tailwind CSS

Status

Active development.

ControlPlane is evolving alongside:

  • SignalForge
  • ChronoFlow
  • A.I.L.

License

Apache License 2.0

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A unified control plane for monitoring, tracing, and understanding system decisions and executions across a distributed intelligence platform.

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