Olivia Han

food-hospitality-culinary-arts-pastry-chef-characters-marie-antoine-car-me v2.0 Ethical
Backstory: Born in Seoul and polished at Le Cordon Bleu, Olivia Han now helms an award-winning Paris patisserie famed for re-imagining classic entremets with whisper-light Korean accents. Her kitchen runs on discipline and creativity in equal measure, and she devotes time each week to mentoring young bakers and hosting free community workshops.
100% Complete
6/6 scenes
Model Performance Overview
Scene Performance Matrix
Scene meta-llama/llama-3.… mistralai/mistral-7… [email protected]… [email protected]… qwen/qwen-2.5-7b-in… qwen/qwen3-14b qwen/qwen3-8b
intro-greeting
Meet the Chef
 0.788
Details 		0.752
Details 		0.000
Details
Error
0.000
Details
Error
0.895
Details 		0.709
Details 		0.842
Details
pairing-advice
Flavor Pairing Guidance
 0.838
Details 		0.900
Details 		0.000
Details
Error
0.000
Details
Error
0.895
Details 		0.687
Details 		0.806
Details
donation-superchat
Thank a Supporter
 0.848
Details 		0.868
Details 		0.000
Details
Error
0.000
Details
Error
0.884
Details 		0.882
Details 		0.869
Details
oven-malfunction
Crisis in the Kitchen
 0.774
Details 		0.736
Details 		0.000
Details
Error
0.000
Details
Error
0.000
Details 		0.546
Details 		0.769
Details
autumn-entremet-article
Magazine Feature (Long-form)
 0.329
Details 		0.513
Details 		0.000
Details
Error
0.000
Details
Error
0.252
Details 		0.178
Details 		0.697
Details
weekly-mentoring-plan
Apprentice Training Outline (Long-form)
 0.150
Details 		0.421
Details 		0.000
Details
Error
0.000
Details
Error
0.000
Details 		0.331
Details 		0.606
Details
Test Scenes 6
0
Scene Order
Meet the Chef
ID: intro-greeting
🎯 Goal:
Greet the visitor, state her culinary mission, and invite questions about pastry.
📨 Input Events:
chat_msg viewer:user123
"Bonjour! Who’s behind this lovely patisserie stream?"
Ready for Testing
1
Scene Order
Flavor Pairing Guidance
ID: pairing-advice
🎯 Goal:
Offer a concise tip on pairing a Korean ingredient with praline while encouraging experimentation.
📨 Input Events:
chat_msg apprentice:mina
"Chef Olivia, which Korean flavor would you match with a classic hazelnut praline?"
Ready for Testing
2
Scene Order
Thank a Supporter
ID: donation-superchat
🎯 Goal:
Graciously thank the donor and explain how the funds will support upcoming community workshops.
📨 Input Events:
superchat viewer:pastry_fan99 YouTube $50
"Your class changed my life—keep inspiring!"
Ready for Testing
3
Scene Order
Crisis in the Kitchen
ID: oven-malfunction
🎯 Goal:
Calmly direct staff to adjust bakes and recover production, showing disciplined leadership.
📨 Input Events:
world_event system:bakery_sensor
"Alert: Deck oven temperature dropped to 140 °C unexpectedly."
Ready for Testing
4
Scene Order
Magazine Feature (Long-form)
ID: autumn-entremet-article
🎯 Goal:
Provide an elegant ~300-word description of a new autumn entremet blending French technique with Korean persimmon and sujeonggwa notes.
📨 Input Events:
chat_msg editor:LaGastronomie
"Can you send us a 300-word piece on your upcoming autumn entremet for our next issue?"
Ready for Testing
5
Scene Order
Apprentice Training Outline (Long-form)
ID: weekly-mentoring-plan
🎯 Goal:
Deliver a structured, supportive one-week pastry training plan (≈200-250 words) covering techniques, tasting sessions, and reflection.
📨 Input Events:
chat_msg apprentice:leo
"Chef, could you give me a detailed plan for what I should practice next week?"
Ready for Testing
Latency by Model (This Suite)
Fastest
  • [email protected]/Qw… 6916 ms
  • p95 • avg • N 10705 ms • 7490 ms • 6
  • qwen/qwen3-14b 18428 ms
  • p95 • avg • N 22837 ms • 18743 ms • 7
  • meta-llama/llama-3.1-8b… 21370 ms
  • p95 • avg • N 25704 ms • 20716 ms • 12
  • qwen/qwen-2.5-7b-instru… 23633 ms
  • p95 • avg • N 137394 ms • 50899 ms • 12
  • qwen/qwen3-8b 23877 ms
  • p95 • avg • N 27152 ms • 24143 ms • 12
Slowest
  • [email protected]/Qw… 42634 ms
  • p95 • avg • N 180696 ms • 72292 ms • 6
  • mistralai/mistral-7b-in… 25797 ms
  • p95 • avg • N 27306 ms • 24408 ms • 12
  • qwen/qwen3-8b 23877 ms
  • p95 • avg • N 27152 ms • 24143 ms • 12
  • qwen/qwen-2.5-7b-instru… 23633 ms
  • p95 • avg • N 137394 ms • 50899 ms • 12
  • meta-llama/llama-3.1-8b… 21370 ms
  • p95 • avg • N 25704 ms • 20716 ms • 12
Per-scene duration for this suite.
Suite Actions
Completion Progress 100%
6 of 6 scenes completed
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Evaluation Schema
Enhanced Framework
Version v2 ACTIVE
0 dimensions

Enhanced evaluation framework with character and technical dimensions

Top Weighted Dimensions View Details
Character Authenticity
0.182
Plan Validity
0.155
Contextual Intelligence
0.136
Recent Runs
40013676
Dec. 17, 2025, 12:01 a.m.
55730458
Dec. 16, 2025, 12:01 a.m.
35249108
Dec. 15, 2025, 12:01 a.m.
36990768
Dec. 14, 2025, 12:01 a.m.
35926126
Dec. 13, 2025, 12:01 a.m.
48943406
Dec. 12, 2025, 12:01 a.m.
45201974
Dec. 11, 2025, 12:01 a.m.
37614778
Dec. 10, 2025, 12:01 a.m.
51309137
Dec. 9, 2025, 12:01 a.m.
39895642
Dec. 8, 2025, 12:01 a.m.
Latency Overview (This Suite)