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Automation and toolmaking

Build a local data tool with previews, repeatable checks and recovery.

4 lessons + an integrated projectStart the first lesson

Four lessons and an independent integrated task. Allow roughly 15–25 minutes per lesson, plus time for projects and delayed retries.

Review the existing foundation

Course contents

  1. Decide what to automate

    Estimate benefit and maintenance; choose one manual check.

  2. Preview before applying

    Map five file records including one collision; state stopping conditions.

  3. Reason about retries

    Run normal, duplicate-ID and interrupted-retry scenarios; record results.

  4. Log, export and recover

    Test malformed input, duplicate IDs and corrected export in the local workbench; write recovery instructions.

  5. Integrated task and acceptance

    Build an id,value CSV checker. Input a,2; b,4; a,2; c,invalid must fail clearly. Correct to a,2; b,4; c,6, preview and export; test cancellation and reruns.

No login required. Exercises include explanations; open work uses self-check criteria without automatic grading or certification.

Written and maintained by Fineuralab. Updated 2026-10-15. Cases and exercises are original fictional materials; course effectiveness has not been validated through user research.

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Run and inspect

Open the local CSV workbench
How do I retain independent judgment when using AI here?

Keep your own answer before consulting an AI candidate. Check sources, calculations, inference and conditions; explain adoption or rejection. Then solve a new-context task independently and apply the checks to this lesson.

Practice the verification workflow and keep a record

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