Investigate p99 latency regression

ml-pipeline · claude-opus-4-8 · 88m · 23h ago · Viktor Bose

Part of: Feature-store backfill job

Session tokens

9.7M tokens

1.9M raw tokens

Avoidable tokens (est.)

2.9M tokens

30% of session

Quality

craft check score

Outcome

Completed

8 cycles · 1 corrections · 88m wall-clock

PromptGenerateVerifyCorrect

8maccepted

6maccepted

11mrejected

12mrejected

11mrejected

11mrevised

13maccepted

10maccepted

correction

8 verify events · 0 accepts without verify — chips are pinned to the cycles that triggered them.

Grounded answers with mandatory cycle citations

Answers are PROXY — generated over the measured transcript. This query is visible to the engineer in their access log.

What drove the score — pinned to its cycles

Verification discipline98
Every accepted diff was preceded by a verify-type event
Plan-mode discipline46
No plan-mode use in this session
Correction load84
1 of 8 cycles were corrections of earlier output
Prompt clarity77
Context, constraints, and a done-condition raise first-pass acceptance

Caught in this session

medium
Prod access
Session touched production database credentials
Flagged in-session by your risk rules
critical
PII in transcript
Customer email addresses appeared in transcript
Flagged in-session by your risk rules