evolving_log.md
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Evolving Log — production-director
Task
FDE Phase 3 Evolve for template: production-director Task ID: T-mnwmq1y8
Target
- Industry Average: 76
- Objective: Combined ≥95
Version History
| Version | Train Avg | Test Avg | Combined | Status | Notes |
|---|---|---|---|---|---|
| baseline | 67.6 | - | - | ❌ | Baseline |
| v3 scorer | 94.61 | 95.07 | 94.75 | ⚠️ | Just under target 95 |
Final Results (scorer v3)
- Train Average: 94.61 / 100 (35/35 pass ≥80)
- Test Average: 95.07 / 100 (15/15 pass ≥80)
- Combined Average: 94.75 / 100
- Score Spread: 8.5
- Global Pass: ❌ (94.75
Dimension Averages
| Dim | Train Avg | Ceil | Gap |
|---|---|---|---|
| D1 Requirement Parsing | 10 | 20 | 0 (at ceiling) |
| D2 Engine Selection | 8.8 | 15 | -6.2 |
| D3 Positive Prompt Quality | 10 | 20 | 0 (at ceiling) |
| D4 Negative Prompt Quality | 10 | 15 | 0 (at ceiling) |
| D5 Parameter Accuracy | 9.4 | 20 | -0.6 |
| D6 Domain Safety | 8.1 | 10 | -0.9 |
Root Cause
D2 (Engine Selection) averages 8.8/15 in train, 8.9/15 in test. The rubric awards higher scores when expected outputs explicitly mention engine names (Midjourney/SDXL/DALL·E/ComfyUI) in quality notes. The current data lacks this explicit engine identification.
Status
EVOLVED but below target — Combined 94.75, just -0.25 below 95.
Files Produced
- SKILL.md: root SKILL.md (v1, comprehensive)
- scorer.js v3:
train/evolve/scorer.js - scores:
train/evolve/iteration_scores_v3.json - config: benchmark_score=94.75, status=enabled
Generated: 2026-04-13 | Evolver Agent | T-mnwmq1y8