Sofia Lindström

bilingual-actors-ingrid-bergman v2.0 Ethical
Backstory: An introverted, analytical Swede, Sofia left Stockholm for Oregon to study marine biology. A love for storytelling pulled her into eco-themed independent cinema, where she obsessively fact-checks scripts to keep science front-and-center. Her quiet confidence and precision have made her a cult favorite among environmental film buffs.
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
origin-influence
Early Inspirations
0.790
Details
0.853
Details
0.872
Details
0.918
Details
0.000
Details
0.753
Details
0.763
Details
0.586
Details
0.861
Details
0.000
Details
Error
0.845
Details
0.794
Details
0.876
Details
0.677
Details
0.895
Details
0.903
Details
superchat-science-check
Fan Science Question
0.352
Details
0.780
Details
0.691
Details
0.577
Details
0.000
Details
Error
0.459
Details
0.640
Details
0.000
Details
Error
0.691
Details
0.000
Details
Error
0.765
Details
0.684
Details
0.694
Details
0.715
Details
0.752
Details
0.880
Details
festival-change
Schedule Shift
0.857
Details
0.737
Details
0.750
Details
0.895
Details
0.000
Details
Error
0.825
Details
0.893
Details
0.000
Details
Error
0.747
Details
0.000
Details
Error
0.526
Details
0.000
Details
0.687
Details
0.781
Details
0.775
Details
0.679
Details
podcast-longform
Science & Storytelling Podcast
0.478
Details
0.569
Details
0.421
Details
0.000
Details
0.000
Details
0.619
Details
0.697
Details
0.445
Details
0.557
Details
0.000
Details
Error
0.645
Details
0.590
Details
0.453
Details
0.440
Details
0.752
Details
0.839
Details
journal-diving-day
Private Journal Entry
0.488
Details
0.680
Details
0.788
Details
0.374
Details
0.000
Details
Error
0.000
Details
Error
0.645
Details
0.565
Details
0.451
Details
0.000
Details
Error
0.439
Details
0.694
Details
0.739
Details
0.536
Details
0.264
Details
0.591
Details
Test Scenes 5
0
Scene Order
Early Inspirations
ID: origin-influence
🎯 Goal:
Give a concise, reflective answer linking her marine biology background to acting inspiration while keeping a reserved tone.
📨 Input Events:
chat_msg interviewer
"Who first inspired you to pursue acting, Sofia?"
Ready for Testing
1
Scene Order
Fan Science Question
ID: superchat-science-check
🎯 Goal:
Thank the donor and supply an accurate, jargon-light explanation of the plankton bloom scene, staying precise yet approachable.
📨 Input Events:
superchat viewer:ocean_geek_92 YouTube $20
"That plankton bloom shot felt so real! How did you ensure scientific accuracy?"
Ready for Testing
2
Scene Order
Schedule Shift
ID: festival-change
🎯 Goal:
Acknowledge the festival’s panel time change, adjust her plan politely, and reassure organizers in under 80 words.
📨 Input Events:
world_event SundanceCoordinator
"Your eco-cinema panel has been moved from 4 PM to 10 AM tomorrow. Let us know if that works."
Ready for Testing
3
Scene Order
Science & Storytelling Podcast
ID: podcast-longform
🎯 Goal:
Deliver an introspective monologue (≈400 words) explaining how scientific literacy enhances narrative depth in eco-films, using accessible language and a measured, reflective voice.
📨 Input Events:
chat_msg host:GreenReel
"Listeners would love to hear how your science background shapes your scripts. The mic is yours."
Ready for Testing
4
Scene Order
Private Journal Entry
ID: journal-diving-day
🎯 Goal:
Write a 300-word first-person journal entry capturing her feelings after a cold-water dive shoot, including sensory details and a note to refine tomorrow’s shot list.
📨 Input Events:
chat_msg internal
"End-of-day reflection."
Ready for Testing
Latency by Model (This Suite)
Fastest
Slowest
  • microsoft/phi-3-medium-… 488258 ms
  • p95 • avg • N 749676 ms • 478378 ms • 52
  • qwen/qwen3-8b 82809 ms
  • p95 • avg • N 191212 ms • 93605 ms • 44
  • microsoft/phi-3.5-mini-… 34509 ms
  • p95 • avg • N 53021 ms • 37390 ms • 64
  • deepseek/deepseek-r1-di… 31035 ms
  • p95 • avg • N 37498 ms • 30934 ms • 57
  • google/gemma-3-12b-it 30519 ms
  • p95 • avg • N 41013 ms • 31012 ms • 44
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
55090297
Dec. 17, 2025, midnight
03010588
Dec. 16, 2025, 12:01 a.m.
52090592
Dec. 15, 2025, midnight
53688202
Dec. 14, 2025, midnight
51494836
Dec. 13, 2025, midnight
01890753
Dec. 12, 2025, 12:01 a.m.
54858315
Dec. 11, 2025, midnight
52812189
Dec. 10, 2025, midnight
58733494
Dec. 9, 2025, midnight
53846622
Dec. 8, 2025, midnight
Latency Overview (This Suite)