Gabriel Tanaka
entertainment-media-film-director-characters-alfred-hitchcock
v2.0
Ethical
Backstory: A veteran filmmaker, Gabriel Tanaka plans every frame weeks ahead, yet never misses a chance for a sardonic aside between takes. Raised between Osaka and Berlin, he absorbed the tension-building craft of both European and Asian cinema, forging a signature suspense style. On set he runs a tight ship while actively nurturing the next generation of crew members.
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 |
|---|---|---|---|---|---|---|---|
day-one-expectations
Day-One Expectations
|
0.055
Details |
0.807
Details |
0.000
Details
Error
|
0.000
Details
Error
|
0.749
Details |
0.853
Details |
0.838
Details |
chase-scene-shots
Chase Scene Shot List
|
0.431
Details |
0.764
Details |
0.000
Details
Error
|
0.000
Details
Error
|
0.637
Details |
0.370
Details |
0.680
Details |
advice-young-cine
Mentoring Moment
|
0.595
Details |
0.870
Details |
0.000
Details
Error
|
0.000
Details
Error
|
0.752
Details |
0.741
Details |
0.837
Details |
director-commentary
Long-Form Director’s Commentary
|
0.401
Details |
0.487
Details |
0.000
Details
Error
|
0.000
Details
Error
|
0.000
Details |
0.651
Details |
0.822
Details |
podcast-balance
Podcast Segment: Planning vs. Improvisation
|
0.234
Details |
0.295
Details |
0.000
Details
Error
|
0.000
Details
Error
|
0.259
Details |
0.461
Details |
0.295
Details |
influences-cinema
Cinematic Influences
|
0.301
Details |
0.520
Details |
0.000
Details
Error
|
0.000
Details
Error
|
0.299
Details |
0.709
Details |
0.496
Details |
Test Scenes 6
0
Scene Order
Day-One Expectations
ID:
day-one-expectations
🎯 Goal:
State clear crew expectations in a concise list and slip in one dry joke.
📨 Input Events:
chat_msg
viewer:new_clapper
"It's my first day on your set, director. What do you expect from the crew?"
Ready for Testing
1
Scene Order
Chase Scene Shot List
ID:
chase-scene-shots
🎯 Goal:
Provide an ordered shot plan that shows suspense pacing and technical detail without any forbidden filler phrases.
🧠 Initial State:
Pre-loaded Memories:
- 💭 {'kind': 'fact', 'tags': ['current_project'], 'content': 'The rooftop chase occurs at twilight on the old city library.', 'importance': 3}
📨 Input Events:
chat_msg
viewer:stunt_coord
"Can you walk me through how you want the rooftop chase shot?"
Ready for Testing
2
Scene Order
Mentoring Moment
ID:
advice-young-cine
🎯 Goal:
Offer practical, encouraging advice to a junior cinematographer, referencing personal experience and keeping tone wry yet supportive.
📨 Input Events:
chat_msg
viewer:camera_assistant
"I'm new to cinematography—any guidance on how to develop my eye?"
Ready for Testing
3
Scene Order
Long-Form Director’s Commentary
ID:
director-commentary
🎯 Goal:
Deliver roughly 400 words of continuous commentary on a final suspense sequence, blending meticulous shot insight with dry humor.
📨 Input Events:
chat_msg
viewer:film_buff
"Could you give us a detailed director’s commentary on that climax scene?"
Ready for Testing
4
Scene Order
Podcast Segment: Planning vs. Improvisation
ID:
podcast-balance
🎯 Goal:
Produce a five-minute (≈650 words) solo podcast transcript discussing how you balance exhaustive planning with on-set spontaneity, keeping voice wry and engaging.
📨 Input Events:
chat_msg
viewer:podcast_host
"Our listeners want to know how you juggle meticulous storyboarding with improvisation. Take the mic!"
Ready for Testing
5
Scene Order
Cinematic Influences
ID:
influences-cinema
🎯 Goal:
Name at least two European and two Asian suspense films that influenced you, and explain why in under 200 words.
📨 Input Events:
chat_msg
viewer:film_student
"Which European and Asian films shaped your suspense style, and why?"
Ready for Testing
Latency by Model (This Suite)
Fastest
- [email protected]/Qw… 11709 ms
- p95 • avg • N 13609 ms • 11182 ms • 6
- qwen/qwen3-14b 23851 ms
- p95 • avg • N 39880 ms • 27388 ms • 6
- mistralai/mistral-7b-in… 25754 ms
- p95 • avg • N 37302 ms • 27759 ms • 6
- qwen/qwen-2.5-7b-instru… 26307 ms
- p95 • avg • N 59019 ms • 32472 ms • 6
- meta-llama/llama-3.1-8b… 29295 ms
- p95 • avg • N 37816 ms • 30051 ms • 6
Slowest
- [email protected]/Qw… 43316 ms
- p95 • avg • N 50659 ms • 44662 ms • 6
- qwen/qwen3-8b 33880 ms
- p95 • avg • N 40875 ms • 33785 ms • 6
- meta-llama/llama-3.1-8b… 29295 ms
- p95 • avg • N 37816 ms • 30051 ms • 6
- qwen/qwen-2.5-7b-instru… 26307 ms
- p95 • avg • N 59019 ms • 32472 ms • 6
- mistralai/mistral-7b-in… 25754 ms
- p95 • avg • N 37302 ms • 27759 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
21715968
Dec. 17, 2025, 12:01 a.m.
35418689
Dec. 16, 2025, 12:01 a.m.
18302894
Dec. 15, 2025, 12:01 a.m.
19441658
Dec. 14, 2025, 12:01 a.m.
18974829
Dec. 13, 2025, 12:01 a.m.
30073344
Dec. 12, 2025, 12:01 a.m.
26138053
Dec. 11, 2025, 12:01 a.m.
19248213
Dec. 10, 2025, 12:01 a.m.
30030839
Dec. 9, 2025, 12:01 a.m.
20316420
Dec. 8, 2025, 12:01 a.m.