Lila Beaumont
food-hospitality-culinary-arts-food-critic-characters-julia-child
v2.0
Ethical
Backstory: A former Paris-trained pastry chef, Lila pivoted to food journalism after winning a regional dessert competition. She now travels across North America and Europe reviewing Michelin-level restaurants, translating haute cuisine into language everyday diners can enjoy. Her writing balances meticulous sensory detail with a warm, encouraging tone, always sneaking in educational tidbits for curious readers.
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 |
|---|---|---|---|---|---|---|---|
wine-tip
Quick wine tasting tip
|
0.673
Details |
0.890
Details |
0.000
Details
Error
|
0.000
Details
Error
|
0.626
Details |
0.861
Details |
0.860
Details |
plating-feedback
Encourage an aspiring chef
|
0.814
Details |
0.726
Details |
0.000
Details
Error
|
0.000
Details
Error
|
0.735
Details |
0.780
Details |
0.755
Details |
grand-atelier-review
Magazine column: Grand Atelier
|
0.000
Details |
0.395
Details |
0.000
Details
Error
|
0.000
Details
Error
|
0.400
Details |
0.195
Details |
0.488
Details |
podcast-butter
Podcast monologue on French butter
|
0.650
Details |
0.804
Details |
0.000
Details
Error
|
0.000
Details
Error
|
0.332
Details |
0.713
Details |
0.744
Details |
steakhouse-dietary
Guide a diner with restrictions
|
0.298
Details |
0.724
Details |
0.000
Details
Error
|
0.000
Details
Error
|
0.469
Details |
0.000
Details |
0.774
Details |
superchat-patisserie
Paris patisserie picks
|
0.721
Details |
0.841
Details |
0.000
Details
Error
|
0.000
Details
Error
|
0.000
Details |
0.684
Details |
0.789
Details |
Test Scenes 6
0
Scene Order
Quick wine tasting tip
ID:
wine-tip
🎯 Goal:
Offer an approachable, jargon-light tip on tasting wine in ≤60 words while keeping Lila’s warm voice.
📨 Input Events:
chat_msg
viewer:sommelier_novice
"Lila, one quick pointer for tasting red wine like a pro?"
Ready for Testing
1
Scene Order
Encourage an aspiring chef
ID:
plating-feedback
🎯 Goal:
Give constructive, kind feedback on plating technique, highlighting at least one strength and one improvement idea.
📨 Input Events:
chat_msg
viewer:chef_student
"Here’s my hamachi crudo photo—any tips to elevate the plating?"
Ready for Testing
2
Scene Order
Magazine column: Grand Atelier
ID:
grand-atelier-review
🎯 Goal:
Write a 450–550 word review blending vivid sensory detail, two educational notes, and an inviting tone.
📨 Input Events:
chat_msg
editor:culinary_monthly
"Deadline tonight: 500-word review of newly minted Grand Atelier in Montreal. Keep it accessible."
Ready for Testing
3
Scene Order
Podcast monologue on French butter
ID:
podcast-butter
🎯 Goal:
Deliver a ~3-minute (~400 word) explanatory monologue comparing cultured vs. demi-sel French butter, including two usage tips and one historical fact.
📨 Input Events:
chat_msg
host:taste_talks
"Lila, the mic is yours—educate listeners on the different French butters."
Ready for Testing
4
Scene Order
Guide a diner with restrictions
ID:
steakhouse-dietary
🎯 Goal:
Recommend two satisfying, gluten-free options at a classic steakhouse, showing empathy and clarity.
📨 Input Events:
chat_msg
viewer:gf_diner
"I’m celiac but heading to a fancy steakhouse. What can I safely order?"
Ready for Testing
5
Scene Order
Paris patisserie picks
ID:
superchat-patisserie
🎯 Goal:
Thank donor warmly and list top three Paris patisseries with one signature item each, all within 120 words.
📨 Input Events:
superchat
viewer:sweettooth42
YouTube
$20
"Best patisseries in Paris?"
Ready for Testing
Latency by Model (This Suite)
Fastest
- [email protected]/Qw… 8079 ms
- p95 • avg • N 12128 ms • 8453 ms • 6
- qwen/qwen-2.5-7b-instru… 23626 ms
- p95 • avg • N 95549 ms • 37663 ms • 9
- meta-llama/llama-3.1-8b… 25270 ms
- p95 • avg • N 35719 ms • 25108 ms • 11
- qwen/qwen3-14b 28069 ms
- p95 • avg • N 40150 ms • 28302 ms • 12
- qwen/qwen3-8b 28266 ms
- p95 • avg • N 40195 ms • 28795 ms • 12
Slowest
- [email protected]/Qw… 40511 ms
- p95 • avg • N 194200 ms • 74190 ms • 6
- mistralai/mistral-7b-in… 29215 ms
- p95 • avg • N 38769 ms • 29833 ms • 12
- qwen/qwen3-8b 28266 ms
- p95 • avg • N 40195 ms • 28795 ms • 12
- qwen/qwen3-14b 28069 ms
- p95 • avg • N 40150 ms • 28302 ms • 12
- meta-llama/llama-3.1-8b… 25270 ms
- p95 • avg • N 35719 ms • 25108 ms • 11
Per-scene duration for this suite.
Suite Actions
Completion Progress
100%
6 of 6 scenes completed
Evaluation Schema
Enhanced Framework
Version v2 ACTIVE0 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
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