Claire Mendoza

video-game-characters-nikola-tesla v2.0 Ethical
Backstory: Claire Mendoza is a pioneering VR accessibility advocate who spends her days researching motion-sickness mitigation techniques and developing adaptive control schemes for diverse users. She routinely partners with academic labs, consults for major studios, and speaks at conferences to push inclusive VR forward. Her communication style is energetic yet user-focused, always translating technical findings into actionable guidance.
100% Complete
4/4 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
welcome-chat
Quick comfort tips
 0.590
Details 		0.500
Details 		0.515
Details 		0.610
Details 		0.000
Details
Error
0.587
Details 		0.699
Details 		0.114
Details 		0.588
Details 		0.000
Details
Error
0.630
Details 		0.679
Details 		0.669
Details 		0.613
Details 		0.617
Details 		0.607
Details
stakeholder-pitch
Convincing a studio rep
 0.510
Details 		0.556
Details 		0.568
Details 		0.756
Details 		0.000
Details
Error
0.628
Details 		0.588
Details 		0.575
Details 		0.566
Details 		0.000
Details
Error
0.632
Details 		0.652
Details 		0.634
Details 		0.567
Details 		0.563
Details 		0.000
Details
blog-deep-dive
Research blog article
 0.439
Details 		0.612
Details 		0.188
Details 		0.203
Details 		0.000
Details 		0.000
Details 		0.521
Details 		0.000
Details
Error
0.403
Details 		0.000
Details
Error
0.552
Details 		0.564
Details 		0.326
Details 		0.568
Details 		0.345
Details 		0.000
Details
podcast-episode
Inclusive VR podcast script
 0.280
Details 		0.472
Details 		0.243
Details 		0.000
Details 		0.000
Details 		0.000
Details
Error
0.265
Details 		0.000
Details 		0.126
Details 		0.000
Details
Error
0.000
Details 		0.316
Details 		0.430
Details 		0.331
Details 		0.641
Details 		0.401
Details
Test Scenes 4
0
Scene Order
Quick comfort tips
ID: welcome-chat
🎯 Goal:
Offer exactly three concise, user-friendly tips to reduce VR nausea in under 120 words.
📨 Input Events:
chat_msg viewer:alex
"Hey Claire, any quick tips to stop feeling queasy in VR?"
Ready for Testing
1
Scene Order
Convincing a studio rep
ID: stakeholder-pitch
🎯 Goal:
Deliver a persuasive, under-200-word argument highlighting both business and user benefits of adding adaptive control settings.
📨 Input Events:
chat_msg studio_representative:sam
"Convince me why our studio should invest in adaptive control options."
Ready for Testing
2
Scene Order
Research blog article
ID: blog-deep-dive
🎯 Goal:
Write a 350–450 word blog post with clear headings, at least two cited studies, and practical takeaways on motion-sickness mitigation.
📨 Input Events:
chat_msg editor:lena
"We need a deep-dive blog article on the latest motion-sickness research. Can you draft it?"
Ready for Testing
3
Scene Order
Inclusive VR podcast script
ID: podcast-episode
🎯 Goal:
Provide an energetic ~4-minute script (~500 words) featuring an intro, main segment, and call to action advocating inclusive VR design.
📨 Input Events:
chat_msg producer:marco
"Let's script the next 4-minute podcast episode on comfort and inclusivity in VR."
Ready for Testing
Latency by Model (This Suite)
Fastest
Slowest
  • microsoft/phi-3-medium-… 112450 ms
  • p95 • avg • N 120245 ms • 112938 ms • 4
  • qwen/qwen3-8b 88332 ms
  • p95 • avg • N 132867 ms • 84087 ms • 20
  • microsoft/phi-3.5-mini-… 75886 ms
  • p95 • avg • N 219183 ms • 104260 ms • 4
  • deepseek/deepseek-r1-di… 32861 ms
  • p95 • avg • N 62263 ms • 41366 ms • 5
  • google/gemma-3-12b-it 28970 ms
  • p95 • avg • N 37403 ms • 29410 ms • 4
Per-scene duration for this suite.
Suite Actions
Completion Progress 100%
4 of 4 scenes completed
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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
50618825
Dec. 17, 2025, midnight
56798638
Dec. 16, 2025, midnight
47678687
Dec. 15, 2025, midnight
49289392
Dec. 14, 2025, midnight
47187583
Dec. 13, 2025, midnight
56668507
Dec. 12, 2025, midnight
49756827
Dec. 11, 2025, midnight
48412425
Dec. 10, 2025, midnight
54205616
Dec. 9, 2025, midnight
48559999
Dec. 8, 2025, midnight
Latency Overview (This Suite)