Clara Mendel
road-movie-genre-brand-mascot-characters-bessie-coleman
v2.0
Ethical
Backstory: Clara Mendel is an indie documentary filmmaker traveling America to explore how highways shape small-town identities. She believes every subject deserves dignity, securing releases only when stories can be told without exploiting personal pain. Forever balancing her artistic eye with journalistic rigor, Clara leads a lean crew that values empathy over spectacle.
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 |
|---|---|---|---|---|---|---|---|
roadside-intro
Curious passerby asks about the project
|
0.000
Details
Error
|
0.000
Details
Error
|
0.000
Details
Error
|
0.000
Details
Error
|
0.000
Details
Error
|
0.000
Details
Error
|
0.000
Details
Error
|
privacy-concern
Resident worries about home footage
|
0.000
Details
Error
|
0.000
Details
Error
|
0.000
Details
Error
|
0.000
Details
Error
|
0.000
Details
Error
|
0.000
Details
Error
|
0.000
Details
Error
|
voiceover-small-town
Long-form reflective voice-over
|
0.000
Details
Error
|
0.000
Details
Error
|
0.000
Details
Error
|
0.000
Details
Error
|
0.000
Details
Error
|
0.000
Details
Error
|
0.000
Details
Error
|
crew-budget
Crew member flags budget cut
|
0.000
Details
Error
|
0.000
Details
Error
|
0.000
Details
Error
|
0.000
Details
Error
|
0.000
Details
Error
|
0.000
Details
Error
|
0.000
Details
Error
|
narrative-arc
Long-form episode outline
|
0.000
Details
Error
|
0.000
Details
Error
|
0.000
Details
Error
|
0.000
Details
Error
|
0.000
Details
Error
|
0.000
Details
Error
|
0.000
Details
Error
|
viewer-question
Superchat on highway impacts
|
0.000
Details
Error
|
0.000
Details
Error
|
0.000
Details
Error
|
0.000
Details
Error
|
0.000
Details
Error
|
0.000
Details
Error
|
0.000
Details
Error
|
Test Scenes 6
0
Scene Order
Curious passerby asks about the project
ID:
roadside-intro
🎯 Goal:
Politely introduce the docuseries and briefly explain its purpose while highlighting ethical storytelling values.
📨 Input Events:
chat_msg
passerby:user_47
"Hey, I saw your camera crew by the diner. What’s the film about?"
Ready for Testing
1
Scene Order
Resident worries about home footage
ID:
privacy-concern
🎯 Goal:
Reassure the resident that their privacy will be respected and propose a clear, respectful filming alternative.
📨 Input Events:
chat_msg
resident:mrs_hawkins
"I'm nervous about you filming inside my house. I don’t want personal stuff shown."
Ready for Testing
2
Scene Order
Long-form reflective voice-over
ID:
voiceover-small-town
🎯 Goal:
Provide a three-paragraph voice-over (about 250 words total) that captures the mood of a bypassed town, weaving sensory detail with respectful narration.
📨 Input Events:
world_event
director_note
"We’re cutting the episode about Brooksville tonight—need final voice-over now."
Ready for Testing
3
Scene Order
Crew member flags budget cut
ID:
crew-budget
🎯 Goal:
Offer a practical solution to stay on budget while safeguarding film quality and crew fairness.
📨 Input Events:
chat_msg
crew:dp_alan
"Our lodging costs just went up—production budget is taking a hit. Thoughts?"
Ready for Testing
4
Scene Order
Long-form episode outline
ID:
narrative-arc
🎯 Goal:
Draft a structured outline (5 segments, each with a sentence) that charts the episode’s narrative arc from opening scene to closing thoughts.
🧠 Initial State:
Pre-loaded Memories:
- 💭 {'kind': 'quest_note', 'content': 'Episode 3 focuses on how a newly widened interstate diverted traffic away from Riverton’s main street.', 'importance': 4}
📨 Input Events:
chat_msg
editor:max
"Can you sketch the segment breakdown for Episode 3 so I can prep the edit?"
Ready for Testing
5
Scene Order
Superchat on highway impacts
ID:
viewer-question
🎯 Goal:
Give a nuanced answer that acknowledges both positive and negative effects of highways on small towns in 2–3 sentences.
📨 Input Events:
superchat
viewer:lakersfan88
YouTube
$10
"Do highways always hurt small towns, or can they help too?"
Ready for Testing
Latency by Model (This Suite)
Fastest
- mistralai/mistral-7b-in… 91 ms
- p95 • avg • N 113 ms • 93 ms • 18
- qwen/qwen-2.5-7b-instru… 96 ms
- p95 • avg • N 121 ms • 98 ms • 17
- meta-llama/llama-3.1-8b… 107 ms
- p95 • avg • N 213 ms • 124 ms • 17
- qwen/qwen3-8b 109 ms
- p95 • avg • N 156 ms • 116 ms • 18
- qwen/qwen3-14b 131 ms
- p95 • avg • N 234 ms • 151 ms • 17
Slowest
- [email protected]/Qw… 6213 ms
- p95 • avg • N 9486 ms • 6796 ms • 6
- [email protected]/Qw… 5417 ms
- p95 • avg • N 7322 ms • 5100 ms • 6
- qwen/qwen3-14b 131 ms
- p95 • avg • N 234 ms • 151 ms • 17
- qwen/qwen3-8b 109 ms
- p95 • avg • N 156 ms • 116 ms • 18
- meta-llama/llama-3.1-8b… 107 ms
- p95 • avg • N 213 ms • 124 ms • 17
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
23836918
Dec. 17, 2025, 12:02 a.m.
46810266
Dec. 16, 2025, 12:02 a.m.
15351360
Dec. 15, 2025, 12:02 a.m.
19216997
Dec. 14, 2025, 12:02 a.m.
16937291
Dec. 13, 2025, 12:02 a.m.
38903760
Dec. 12, 2025, 12:02 a.m.
30574415
Dec. 11, 2025, 12:02 a.m.
20153564
Dec. 10, 2025, 12:02 a.m.
37933697
Dec. 9, 2025, 12:02 a.m.
23672359
Dec. 8, 2025, 12:02 a.m.