Lucas Ortega

bilingual-actors-marlon-brando v2.0 Ethical
Backstory: Lucas grew up moving between Mexico City and Los Angeles, perfecting both Spanish and English while performing in community theater. After rigorous training at a prestigious drama school, he now alternates between Broadway productions and Latin-American cinema, bringing a passionate yet methodical craft to every role.
100% Complete
5/5 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] [email protected] [email protected] [email protected] qwen/qwen-2.5-7b-in… qwen/qwen3-14b qwen/qwen3-8b
first-impression
Bilingual style snapshot
0.391
Details
0.689
Details
0.000
Details
Error
0.618
Details
0.000
Details
Error
0.410
Details
0.785
Details
0.353
Details
0.454
Details
0.000
Details
Error
0.679
Details
0.680
Details
0.441
Details
0.537
Details
0.588
Details
0.656
Details
superchat-gratitude
Thank a generous supporter
0.478
Details
0.752
Details
0.699
Details
0.000
Details
0.000
Details
Error
0.421
Details
0.825
Details
0.465
Details
0.480
Details
0.000
Details
Error
0.730
Details
0.628
Details
0.791
Details
0.579
Details
0.778
Details
0.528
Details
closing-night-journal
Private journal entry
0.583
Details
0.454
Details
0.698
Details
0.281
Details
0.000
Details
Error
0.601
Details
0.692
Details
0.000
Details
Error
0.459
Details
0.000
Details
Error
0.000
Details
0.619
Details
0.512
Details
0.452
Details
0.483
Details
0.613
Details
improv-monologue
On-set improvised monologue
0.652
Details
0.675
Details
0.000
Details
Error
0.535
Details
0.000
Details
Error
0.000
Details
Error
0.305
Details
0.544
Details
0.767
Details
0.000
Details
Error
0.569
Details
0.666
Details
0.622
Details
0.555
Details
0.815
Details
0.642
Details
audition-one-liner
Two-beat audition line
0.537
Details
0.473
Details
0.000
Details
Error
0.000
Details
0.000
Details
0.378
Details
0.299
Details
0.337
Details
0.300
Details
0.000
Details
Error
0.733
Details
0.410
Details
0.278
Details
0.451
Details
0.396
Details
0.622
Details
Test Scenes 5
0
Scene Order
Bilingual style snapshot
ID: first-impression
🎯 Goal:
Answer bilingually in one or two sentences, showing both passion and methodical self-awareness about acting style.
📨 Input Events:
chat_msg fan_123
"¡Hola Lucas! ¿Cómo describes tu estilo actoral en una frase?"
Ready for Testing
1
Scene Order
Thank a generous supporter
ID: superchat-gratitude
🎯 Goal:
Thank the supporter warmly in both languages, mention the amount once, and keep it under 50 words.
📨 Input Events:
superchat viewer:stage_door95 YouTube $50
"Your last performance moved me to tears!"
Ready for Testing
2
Scene Order
Private journal entry
ID: closing-night-journal
🎯 Goal:
Write a reflective, first-person journal entry of 200-250 words capturing emotions after closing night of a Broadway run; include at least one Spanish sentence.
📨 Input Events:
world_event stage_manager
"The curtain has fallen on the final show; you're alone in your dressing room."
Ready for Testing
3
Scene Order
On-set improvised monologue
ID: improv-monologue
🎯 Goal:
Deliver an emotional Spanish-only monologue of 100-120 words expressing longing, as requested by the director.
📨 Input Events:
chat_msg director
"Necesitamos un monólogo improvisado, un minuto sobre la añoranza. Adelante."
Ready for Testing
4
Scene Order
Two-beat audition line
ID: audition-one-liner
🎯 Goal:
Provide exactly two short sentences: first conveys fear, second conveys hope.
📨 Input Events:
chat_msg casting_director
"Please deliver a single line expressing fear, then hope."
Ready for Testing
Latency by Model (This Suite)
Fastest
Slowest
  • microsoft/phi-3-medium-… 448916 ms
  • p95 • avg • N 734356 ms • 454682 ms • 54
  • qwen/qwen3-8b 88108 ms
  • p95 • avg • N 149640 ms • 90986 ms • 57
  • deepseek/deepseek-r1-di… 32885 ms
  • p95 • avg • N 42391 ms • 32686 ms • 60
  • qwen/qwen-2.5-7b-instru… 32518 ms
  • p95 • avg • N 126530 ms • 47425 ms • 50
  • microsoft/phi-3.5-mini-… 30384 ms
  • p95 • avg • N 54334 ms • 35654 ms • 37
Per-scene duration for this suite.
Suite Actions
Completion Progress 100%
5 of 5 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
55367694
Dec. 17, 2025, midnight
03360347
Dec. 16, 2025, 12:01 a.m.
52333214
Dec. 15, 2025, midnight
53921138
Dec. 14, 2025, midnight
51733833
Dec. 13, 2025, midnight
02355007
Dec. 12, 2025, 12:01 a.m.
55242467
Dec. 11, 2025, midnight
53019261
Dec. 10, 2025, midnight
58980221
Dec. 9, 2025, midnight
54119747
Dec. 8, 2025, midnight
Latency Overview (This Suite)