Prompt and configuration operations · Lesson 6 of 14 · 9 min

Review a prompt rollout

A canary rollout limits exposure while collecting comparable evidence. Decide promotion against predefined gates rather than the novelty of a new prompt.

Open the lab Course map

Mastery 0/3Run itExplain itApply it

learner@clairos:~ $

↑ history · Tab complete · Ctrl+C cancel · Esc, Tab to leaveExit 0

Your objectives

Hints are always available. Wrong turns never cost XP.

1
Read the case evidence
Read /opt/ai-lab/cases/aiops-prompts-config-006.json. Separate the recorded facts from your assumptions.
Hint & worked example
A canary rollout limits exposure while collecting comparable evidence. Decide promotion against predefined gates rather than the novelty of a new prompt.
The complete case JSON is read successfully.
```
cat /opt/ai-lab/cases/aiops-prompts-config-006.json
```
Common mistake to avoid: Expand the failing canary to all requests to get more data.
2
Isolate the deciding signal
Select the quality_gate_pass field from the case JSON. What does it establish—and what does it not establish?
Hint & worked example
Keep or restore p7 because the canary has failed its quality gate.
A successful JSON query isolates quality_gate_pass.
```
jq .quality_gate_pass /opt/ai-lab/cases/aiops-prompts-config-006.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: rollback-canary, change-without-evidence, or ignore-the-signal. Save that one code followed by a newline in /home/learner/lab/aiops-prompts-config-006-decision.txt.
Hint & worked example
Keep or restore p7 because the canary has failed its quality gate.
The decision artifact contains the correct code, not just a matching command in history.
```
printf '%s\n' 'rollback-canary' > /home/learner/lab/aiops-prompts-config-006-decision.txt
```
Common mistake to avoid: Expand the failing canary to all requests to get more data.

Understand the pattern

A canary rollout limits exposure while collecting comparable evidence. Decide promotion against predefined gates rather than the novelty of a new prompt.

Interpret the evidence

Keep or restore p7 because the canary has failed its quality gate.

A tempting mistake

Expand the failing canary to all requests to get more data.

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-prompts-config-006.json

{
  "fixture": "Fictional training data; not a live measurement.",
  "candidate_share_percent": 5,
  "quality_gate_pass": false,
  "rollback": "p7"
}

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

$ jq .quality_gate_pass /opt/ai-lab/cases/aiops-prompts-config-006.json

false

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

$ printf '%s\n' 'rollback-canary' > /home/learner/lab/aiops-prompts-config-006-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 “rollback-canary” to stop being the justified action. Do not silently replace missing evidence with a guess.

Explain it

What does the evidence in “Review a prompt rollout” justify?Keep or restore p7 because the canary has failed its quality gate.Expand the failing canary to all requests to get more data.Make the change now and gather the missing evidence afterward.

Apply it elsewhere

A colleague concludes: “Expand the failing canary to all requests to get more data.” What should you do?Accept it because the training command completed.Treat this fixture as a live measurement.Reject that conclusion; return to the case evidence and its stated limits.

Keep the momentum.

Complete the lab, then explain and apply the pattern.

Next: Locate a prompt owner Try an incident drill

Anonymous lesson and mastery progress lasts for this session. Sign in to keep synced lesson XP between sessions; mastery stays device-local. No speed bonus, lost lives, or hint penalties.

Keep learning

Case methodology: evidence, limits, decision