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Decide what to automate

Estimate benefit and maintenance; choose one manual check.

Automation and toolmaking · 1/5

Method and limits

Estimate frequency, savings, development, maintenance and failure costs. Retain human judgment for unstable or costly decisions.

Worked teaching case

Eight runs × three minutes =24 minutes/week. Development120, maintenance4/week: ideal net20/week, payback about six weeks.

Judge before reviewing

Review all options
  1. Development is a cost.
  2. Overstates benefit.
  3. Correct: actual measurement is still needed.

Independent attempt and revision

Estimate benefit and maintenance; choose one manual check.

Reference and self-check

State assumptions and payback; label estimates, retain operator review of private data.

AI collaboration and verification

Simulated AI: “Retry indefinitely after failure; a successful preview means the change is complete.”

This is a prewritten teaching candidate, not live model output. Judge independently, then check each claim; you may use your own candidate instead.

Checking hint

The candidate generalizes beyond records or conditions. Preserve denominators, assistance or scope from the lesson. Softer wording alone is not verification.

Full AI verification workflow and practice

Practice archive and versions

Save an independent attempt before a revision, up to 50 versions. This archive contains this page’s inputs in this language. Files can be restored to the same page and language; there is no automatic synchronization or backup of other legacy lessons.

Further reading

Google SRE · Automation at Google

Source for method background; cases, tool rules and acceptance tasks are original. The source has not validated this course. Source checked 2026-10-15.

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.

Editorial standards · Feedback and corrections

My learning status

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