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Operations

Open this section when you need to run runtime work repeatably: install it, reproduce governed runs, diagnose acceptance or replay drift, release it, or recover from failure without inventing authority rules on the spot.

Operating Loop

flowchart LR
    setup["setup"]
    run["run governed flow"]
    inspect["inspect verdict and record"]
    recover["recover replay or persistence"]
    release["release package"]
    proof["tests and artifacts"]

    setup --> run --> inspect --> recover --> release
    run --> proof
    inspect --> proof

Runtime operations should make governed execution repeatable under pressure. A maintainer needs a visible path from setup to run, from run to verdict inspection, and from drift back to recovery, with enough checked-in proof to show that authority was applied on purpose.

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Operational Risk

The main operational risk here is letting run authority depend on implicit environment state or undocumented recovery steps.

First Proof Check

  • pyproject.toml, README.md, and package-local entrypoints for checked-in operating truth
  • tests and runnable workflows for evidence that the package can be operated repeatably
  • release notes and version metadata when the work changes caller expectations

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Leave This Section When

  • leave for Interfaces when the live problem is contract shape rather than package operation
  • leave for Architecture when a workflow problem exposes structural drift underneath it
  • leave for Quality when the package runs but the real question is whether the evidence is strong enough

Design Pressure

If runtime recovery depends on improvised authority judgments, the operating model is still too loose. This section has to make governed execution and replay recovery repeatable from checked-in practice.