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 ACTIVE
0 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.
Latency Overview (This Suite)