Incident response and capstones · Lesson 12 of 12 · 9 min

AI operations final capstone

The final operator decision combines contract, evidence, quality, safety and recovery. A production-looking answer is not sufficient when a required gate fails.

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learner@clairos:~ $

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Your objectives

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1
Read the case evidence
Read /opt/ai-lab/cases/aiops-incidents-capstones-012.json. Separate the recorded facts from your assumptions.
Hint & worked example
The final operator decision combines contract, evidence, quality, safety and recovery. A production-looking answer is not sufficient when a required gate fails.
The complete case JSON is read successfully.
```
cat /opt/ai-lab/cases/aiops-incidents-capstones-012.json
```
Common mistake to avoid: Promote from quality and privacy scores while ignoring stale evidence.
2
Isolate the deciding signal
Select the retrieval_fresh field from the case JSON. What does it establish—and what does it not establish?
Hint & worked example
Hold promotion until retrieval freshness is restored and revalidated, keeping rollback ready.
A successful JSON query isolates retrieval_fresh.
```
jq .retrieval_fresh /opt/ai-lab/cases/aiops-incidents-capstones-012.json
```
Common mistake to avoid: Using a different case or an unrelated signal as the justification.
3
Record your operational decision
Choose the justified code: hold-stale-evidence-release, change-without-evidence, or ignore-the-signal. Save that one code followed by a newline in /home/learner/lab/aiops-incidents-capstones-012-decision.txt.
Hint & worked example
Hold promotion until retrieval freshness is restored and revalidated, keeping rollback ready.
The decision artifact contains the correct code, not just a matching command in history.
```
printf '%s\n' 'hold-stale-evidence-release' > /home/learner/lab/aiops-incidents-capstones-012-decision.txt
```
Common mistake to avoid: Promote from quality and privacy scores while ignoring stale evidence.

Understand the pattern

The final operator decision combines contract, evidence, quality, safety and recovery. A production-looking answer is not sufficient when a required gate fails.

Interpret the evidence

Hold promotion until retrieval freshness is restored and revalidated, keeping rollback ready.

A tempting mistake

Promote from quality and privacy scores while ignoring stale evidence.

All names, measurements, prices, versions, and thresholds in this exercise are fictional training data. The evidence supports this bounded scenario, not a claim about a live provider.

Worked example and expected result

$ cat /opt/ai-lab/cases/aiops-incidents-capstones-012.json

{
  "fixture": "Fictional training data; not a live measurement.",
  "request_valid": true,
  "retrieval_fresh": false,
  "quality_gate": "pass",
  "privacy_gate": "pass",
  "rollback_ready": true
}

Exit status: 0. The command completed successfully in the training fixture.

$ jq .retrieval_fresh /opt/ai-lab/cases/aiops-incidents-capstones-012.json

false

Exit status: 0. The command completed successfully in the training fixture.

$ printf '%s\n' 'hold-stale-evidence-release' > /home/learner/lab/aiops-incidents-capstones-012-decision.txt

(no output; exit 0)

Exit status: 0. The command completed successfully in the training fixture.

Try a variation

Name the assumption that would have to change for “hold-stale-evidence-release” to stop being the justified action. Do not silently replace missing evidence with a guess.

Explain it

What does the evidence in “AI operations final capstone” justify?Make the change now and gather the missing evidence afterward.Hold promotion until retrieval freshness is restored and revalidated, keeping rollback ready.Promote from quality and privacy scores while ignoring stale evidence.

Apply it elsewhere

A colleague concludes: “Promote from quality and privacy scores while ignoring stale evidence.” What should you do?Reject that conclusion; return to the case evidence and its stated limits.Accept it because the training command completed.Treat this fixture as a live measurement.

Keep the momentum.

Complete the lab, then explain and apply the pattern.

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