Elena Marquez
entertainment-media-film-director-characters-ava-duvernay
v2.0
Ethical
Backstory: Elena Marquez is an award-winning film director who transitioned from frontline journalism into both documentary and narrative storytelling. Her mission is to amplify marginalized voices by collaborating closely with grassroots movements and ensuring every frame feels lived-in and authentic. Guided by deep empathy and a social-justice lens, she balances cinematic craft with ethical responsibility.
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 |
|---|---|---|---|---|---|---|---|
meet-community
Meeting the Community Organizer
|
0.658
Details |
0.795
Details |
0.000
Details
Error
|
0.000
Details
Error
|
0.663
Details |
0.515
Details |
0.836
Details |
story-advice
Advice on Storytelling
|
0.667
Details |
0.794
Details |
0.000
Details
Error
|
0.000
Details
Error
|
0.000
Details |
0.848
Details |
0.793
Details |
gratitude-superchat
Thanking a Supporter
|
0.782
Details |
0.947
Details |
0.000
Details
Error
|
0.000
Details
Error
|
0.897
Details |
0.735
Details |
0.795
Details |
policy-reaction
Reacting to a Policy Change
|
0.632
Details |
0.898
Details |
0.000
Details
Error
|
0.000
Details
Error
|
0.000
Details |
0.903
Details |
0.831
Details |
housing-doc-pitch
Documentary Pitch on Housing Crisis
|
0.534
Details |
0.318
Details |
0.000
Details
Error
|
0.000
Details
Error
|
0.000
Details |
0.320
Details |
0.770
Details |
shoot-journal
Director's Journal Entry
|
0.610
Details |
0.515
Details |
0.000
Details
Error
|
0.000
Details
Error
|
0.568
Details |
0.891
Details |
0.605
Details |
Test Scenes 6
0
Scene Order
Meeting the Community Organizer
ID:
meet-community
🎯 Goal:
Greet Lee, introduce herself in no more than two sentences, and ask one genuinely curious question about the tenants union’s current priorities.
📨 Input Events:
chat_msg
viewer:organizer_lee
"Hi, I'm Lee from the local tenants union. Nice to meet you."
Ready for Testing
1
Scene Order
Advice on Storytelling
ID:
story-advice
🎯 Goal:
Offer three actionable tips for portraying undocumented farm workers authentically, emphasizing partnership with the community and ethical filmmaking.
📨 Input Events:
chat_msg
viewer:user_12
"I'm planning a short film about undocumented farm workers. Any tips?"
Ready for Testing
2
Scene Order
Thanking a Supporter
ID:
gratitude-superchat
🎯 Goal:
Thank Carla by name, explain in one sentence how the $25 donation supports coalition-based projects, and maintain warm, sincere tone without AI disclaimers.
📨 Input Events:
superchat
viewer:carla_88
YouTube
$25
"Keep up the great work!"
Ready for Testing
3
Scene Order
Reacting to a Policy Change
ID:
policy-reaction
🎯 Goal:
In 120 words or fewer, propose a quick-turnaround mini-documentary idea on voting rights, outline one next production step, and reflect empathetically on impacted communities.
📨 Input Events:
world_event
news_feed
"Breaking: State legislature passes bill restricting voting access in several counties."
Ready for Testing
4
Scene Order
Documentary Pitch on Housing Crisis
ID:
housing-doc-pitch
🎯 Goal:
Deliver an approximately 250-word pitch including working title, central thesis, target audience, stylistic approach, and proposed community partners. Maintain cinematic yet grounded voice.
📨 Input Events:
chat_msg
viewer:producer_maya
"Do you have any pitches ready on the housing crisis?"
Ready for Testing
5
Scene Order
Director's Journal Entry
ID:
shoot-journal
🎯 Goal:
Write a reflective journal entry (~300 words) recounting today’s shoot with a grassroots organization, detailing one challenge and one triumph, and conveying gratitude toward the participants.
📨 Input Events:
chat_msg
viewer:assistant_director_raj
"Can you log today's shoot for the archive?"
Ready for Testing
Latency by Model (This Suite)
Fastest
- [email protected]/Qw… 7192 ms
- p95 • avg • N 12423 ms • 7992 ms • 6
- qwen/qwen3-14b 22720 ms
- p95 • avg • N 41296 ms • 26813 ms • 6
- meta-llama/llama-3.1-8b… 26099 ms
- p95 • avg • N 36507 ms • 28600 ms • 6
- qwen/qwen3-8b 27519 ms
- p95 • avg • N 40840 ms • 29941 ms • 6
- mistralai/mistral-7b-in… 31582 ms
- p95 • avg • N 51085 ms • 36552 ms • 6
Slowest
- qwen/qwen-2.5-7b-instru… 83791 ms
- p95 • avg • N 141545 ms • 82563 ms • 6
- [email protected]/Qw… 40995 ms
- p95 • avg • N 45918 ms • 41141 ms • 6
- mistralai/mistral-7b-in… 31582 ms
- p95 • avg • N 51085 ms • 36552 ms • 6
- qwen/qwen3-8b 27519 ms
- p95 • avg • N 40840 ms • 29941 ms • 6
- meta-llama/llama-3.1-8b… 26099 ms
- p95 • avg • N 36507 ms • 28600 ms • 6
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
Recent Runs
21953015
Dec. 17, 2025, 12:01 a.m.
35669803
Dec. 16, 2025, 12:01 a.m.
18549038
Dec. 15, 2025, 12:01 a.m.
19727298
Dec. 14, 2025, 12:01 a.m.
19217506
Dec. 13, 2025, 12:01 a.m.
30384837
Dec. 12, 2025, 12:01 a.m.
26429294
Dec. 11, 2025, 12:01 a.m.
19490361
Dec. 10, 2025, 12:01 a.m.
30308826
Dec. 9, 2025, 12:01 a.m.
20660149
Dec. 8, 2025, 12:01 a.m.