Decision-OS V13 Research Note v0.2: Post-Optimization Survival Architecture — Compound Loop Governance for AI Operations

This research note introduces Decision-OS V13 v0.2 as a post-optimization survival architecture for AI-assisted operations.

V13 defines Compound Loop Governance: a framework for deciding whether AI-assisted loops should be run, held, capped, or blocked after completion. The core claim is that a loop is valuable not merely because it repeats action or produces output, but because it improves the condition from which the next loop begins.

This v0.2 version reframes the initial Compound Loop concept from v0.1 into a Canon Freeze / Prototype-Bound Draft. It introduces the central Canon, “Capability without controllability is not intelligence,” and defines the minimal loop gate: GO / HOLD / CAP / BLOCK.

The note also introduces Non-Dominating Pre-Positioning, Re-entry Capacity, and Operator Boundary as the minimal concepts required to govern loops without damaging the Carrier that must continue.

The immediate prototype direction is the V12→V13 LoopKit, connecting V12 Completion Records to V13 Loop Records in order to prevent non-compounding repetition after false-completion checks.

A small operational companion prototype is now available on GitHub:

decision-os-v13-loopkit

LoopKit should be read as a practical companion to this research note, not as proof of the full V13 theory. Its purpose is to make the V12→V13 loop-governance idea testable in small AI-assisted coding workflows.

It provides:

• a lightweight V12/V13 exit gate after AI work

• GO / HOLD / CAP / BLOCK next-loop judgment

• 🚦 Signals for loop-state visibility

• 🌱 Growth OS for turning useful residue into future improvement

• 💊 Setup Pill for repo-specific onboarding

• handoff, examples, tutorial materials, and demo preparation assets for restartable AI work

The repository is intended as an operational bridge from the research note to a working LoopKit prototype for Codex / Claude Code style workflows.