No description
jtricerolph
8f8e273650
Two real problems from live testing: 1. gatherEmployeeAnomalies() ranked by absolute cost, so it always surfaced senior/supervisory/longer-shift staff — that's their normal rate, not an anomaly. Now compares each employee's £/shift this week against their own trailing 4-week average and only reports the deviation; the prompt explicitly tells the model not to flag high pay in absolute or relative terms, only genuine deviations from someone's own baseline. Validated: Jack Evans (previously flagged 3 briefings running) is +0.5% vs his own baseline — not an anomaly at all — while Joseph Trice-Rolph's +41% swing is a genuine standout. 2. Output was hitting the token cap and cutting off mid-sentence (confirmed: last generation used exactly 900/900 output tokens). Raised cap to 1400, and tightened the system prompt to a hard 5-bullet-total limit with no per-department/per-employee sections, since the model was writing a full structured report instead of a short briefing regardless of the token budget. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> |
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