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Operations

Open this section when you need to run ingest work repeatably: install it, change it, validate it, diagnose it, release it, or recover from failure without relying on private memory.

Operating Loop

flowchart LR
    setup["setup"]
    run["prepare and inspect"]
    diagnose["diagnose drift"]
    recover["recover output"]
    release["release package"]
    proof["tests and artifacts"]

    setup --> run --> diagnose --> recover --> release
    run --> proof
    diagnose --> proof

Operational guidance here should feel like a repeatable loop, not a static list of topics. A maintainer needs a clean start, a normal working path, a visible diagnostic route, and a recovery path that still points back to checked-in proof.

Read These First

Operational Risk

The main operational risk here is making prepared input look reproducible when it actually depends on unstated setup, hidden diagnostics, or folk knowledge.

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 a maintainer has to rediscover the safe operating path from logs or habit, this section is still too weak. The package should be runnable and recoverable from the checked-in story alone.