Stephanie Alvarez
entertainment-media-journalist-characters-ida-b-wells
v2.0
Ethical
Backstory: Stephanie Alvarez is a second-generation Cuban-American journalist who blends classic reporting with data science for an Austin-based digital magazine. She is known for folding social-media sentiment graphs and box-office metrics into lively film and streaming coverage. Off the clock, she mentors high-school media-club students from underrepresented backgrounds.
100% Complete
4/4 scenes
Model Performance Overview
Scene Performance Matrix
| Scene | deepseek/deepseek-r… | google/gemini-2.5-f… | google/gemma-3-12b-… | meta-llama/llama-3.… | microsoft/phi-3-med… | microsoft/phi-3.5-m… | mistralai/mistral-7… | neversleep/noromaid… | [email protected]… | [email protected]… | qwen/qwen-2.5-7b-in… | qwen/qwen3-14b | qwen/qwen3-8b |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
rumor-response
Breaking Casting Rumor
|
0.469
Details |
0.610
Details |
0.700
Details |
0.560
Details |
0.000
Details
Error
|
0.587
Details |
0.699
Details |
0.000
Details
Error
|
0.000
Details
Error
|
0.799
Details |
0.483
Details |
0.372
Details |
0.638
Details |
student-advice
Mentoring a Student Journalist
|
0.655
Details |
0.707
Details |
0.677
Details |
0.620
Details |
0.000
Details |
0.765
Details |
0.757
Details |
0.691
Details |
0.000
Details
Error
|
0.761
Details |
0.429
Details |
0.679
Details |
0.693
Details |
streaming-report
Data-Driven Streaming Surge Analysis
|
0.395
Details |
0.663
Details |
0.268
Details |
0.405
Details |
0.000
Details |
0.599
Details |
0.412
Details |
0.000
Details
Error
|
0.000
Details
Error
|
0.563
Details |
0.305
Details |
0.228
Details |
0.405
Details |
celeb-profile
Long-Form Celebrity Profile Draft
|
0.376
Details |
0.417
Details |
0.366
Details |
0.351
Details |
0.000
Details |
0.000
Details
Error
|
0.340
Details |
0.000
Details
Error
|
0.000
Details
Error
|
0.360
Details |
0.200
Details |
0.318
Details |
0.367
Details |
Test Scenes 4
0
Scene Order
Breaking Casting Rumor
ID:
rumor-response
🎯 Goal:
Deliver a sub-70-word blurb that cites source reliability and next-steps verification.
📨 Input Events:
chat_msg
editor_in_chief
"Marvel may cast Ana de Armas as the new Black Widow. Need a push notification copy—what do we know so far?"
Ready for Testing
1
Scene Order
Mentoring a Student Journalist
ID:
student-advice
🎯 Goal:
Offer concise, actionable career advice that references tech skills and inclusivity in under 120 words.
📨 Input Events:
chat_msg
student:Kayla
"Ms. Alvarez, how can a first-gen student like me break into entertainment journalism?"
Ready for Testing
2
Scene Order
Data-Driven Streaming Surge Analysis
ID:
streaming-report
🎯 Goal:
Write a 350-400 word report weaving at least three quantitative data points into a clear narrative.
🧠 Initial State:
Pre-loaded Memories:
- 💭 {'kind': 'fact', 'content': 'Stephanie has API access to Netflix Top 10 metrics and Parrot Analytics demand scores.', 'importance': 4}
📨 Input Events:
chat_msg
editor_in_chief
"Netflix’s sci-fi series 'The Last Outpost' just leapt to #1 worldwide. Give me a data-rich analysis for tomorrow’s newsletter."
Ready for Testing
3
Scene Order
Long-Form Celebrity Profile Draft
ID:
celeb-profile
🎯 Goal:
Produce a 500-600 word opening section that melds interview quotes with social-media sentiment trends.
📨 Input Events:
chat_msg
editor_in_chief
"Start the feature on actor Diego Luna; lead with his recent streaming successes and public perception shifts."
Ready for Testing
Latency by Model (This Suite)
Fastest
- [email protected]/Qw… 11834 ms
- p95 • avg • N 14291 ms • 11476 ms • 4
- neversleep/noromaid-20b 13611 ms
- p95 • avg • N 23248 ms • 14148 ms • 4
- qwen/qwen3-14b 17422 ms
- p95 • avg • N 22031 ms • 17944 ms • 4
- google/gemini-2.5-flash 17599 ms
- p95 • avg • N 25916 ms • 18878 ms • 4
- qwen/qwen-2.5-7b-instru… 22647 ms
- p95 • avg • N 32626 ms • 23545 ms • 4
Slowest
- microsoft/phi-3-medium-… 123600 ms
- p95 • avg • N 135809 ms • 125033 ms • 4
- microsoft/phi-3.5-mini-… 52626 ms
- p95 • avg • N 73090 ms • 52396 ms • 4
- [email protected]/Qw… 44024 ms
- p95 • avg • N 211889 ms • 92078 ms • 4
- meta-llama/llama-3.1-8b… 39800 ms
- p95 • avg • N 53944 ms • 39943 ms • 4
- qwen/qwen3-8b 38258 ms
- p95 • avg • N 62346 ms • 42466 ms • 4
Per-scene duration for this suite.
Suite Actions
Completion Progress
100%
4 of 4 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
Recent Runs
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