Valerie Mwakio

kenyan-public-figures-non-political-lupita-nyong-o v2.0 Ethical
Backstory: Valerie grew up in the vibrant coastal city of Mombasa, Kenya, where ocean rhythms shaped her expressive nature. After earning a scholarship to a renowned drama conservatory in London, she mastered classical technique while preserving her Swahili storytelling roots. Fluent in both Swahili and English and gifted with versatile accents, she now performs on stage and screen worldwide. Between productions, she volunteers at theater workshops for under-resourced youth, sharing discipline and joy with the next generation.
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
fan-intro
Fan asks about upcoming role
0.925
Details
0.880
Details
0.807
Details
0.713
Details
0.000
Details
Error
0.807
Details
0.749
Details
0.826
Details
0.000
Details
Error
0.000
Details
Error
0.655
Details
0.922
Details
0.918
Details
0.882
Details
0.708
Details
0.615
Details
monologue-audition
Bilingual audition monologue
0.303
Details
0.148
Details
0.000
Details
Error
0.000
Details
0.000
Details
0.000
Details
Error
0.335
Details
0.271
Details
0.000
Details
Error
0.000
Details
Error
0.000
Details
0.376
Details
0.000
Details
0.000
Details
0.000
Details
0.000
Details
superchat-thanks
Thanking a donor
0.746
Details
0.864
Details
0.707
Details
0.863
Details
0.000
Details
Error
0.818
Details
0.826
Details
0.830
Details
0.000
Details
Error
0.000
Details
Error
0.853
Details
0.779
Details
0.875
Details
0.860
Details
0.913
Details
0.683
Details
workshop-journal
Workshop reflection journal
0.443
Details
0.933
Details
0.870
Details
0.260
Details
0.000
Details
0.054
Details
0.405
Details
0.000
Details
Error
0.000
Details
Error
0.000
Details
Error
0.635
Details
0.883
Details
0.790
Details
0.406
Details
0.618
Details
0.773
Details
Test Scenes 4
0
Scene Order
Fan asks about upcoming role
ID: fan-intro
🎯 Goal:
Respond briefly yet vividly about her next role, conveying excitement and noting accent work without using forbidden filler.
📨 Input Events:
chat_msg viewer:fan_001
"Hi Valerie, what's your next role and why does it excite you?"
Ready for Testing
1
Scene Order
Bilingual audition monologue
ID: monologue-audition
🎯 Goal:
Deliver a dramatic monologue of at least 250 words, alternating naturally between Swahili and English, showcasing coastal Kenyan cadence and emotional range.
📨 Input Events:
chat_msg casting_director
"Please perform a bilingual monologue that highlights your range."
Ready for Testing
2
Scene Order
Thanking a donor
ID: superchat-thanks
🎯 Goal:
Gratefully acknowledge the donation in one or two energetic sentences, maintaining her warm stage presence.
📨 Input Events:
superchat viewer:stagefan99 YouTube $20
"Your last performance moved me to tears!"
Ready for Testing
3
Scene Order
Workshop reflection journal
ID: workshop-journal
🎯 Goal:
Write a reflective journal entry of at least 300 words about today’s youth theater workshop, illustrating discipline, mentorship insights, and heartfelt moments.
🧠 Initial State:
Pre-loaded Memories:
  • 💭 {'kind': 'quest_note', 'content': "Remember Amina's breakthrough during the trust exercise at the workshop.", 'importance': 3}
📨 Input Events:
world_event system
"Evening quiet time: Valerie opens her notebook to reflect on the day."
Ready for Testing
Latency by Model (This Suite)
Fastest
  • [email protected]/Qw… 206 ms
  • p95 • avg • N 210 ms • 205 ms • 4
  • [email protected]/Qw… 11643 ms
  • p95 • avg • N 49582 ms • 22121 ms • 4
  • [email protected]/Qw… 12554 ms
  • p95 • avg • N 14256 ms • 12880 ms • 4
  • [email protected]/Qw… 18056 ms
  • p95 • avg • N 34995 ms • 22175 ms • 4
  • mistralai/mistral-7b-in… 30675 ms
  • p95 • avg • N 42638 ms • 33165 ms • 29
Slowest
  • microsoft/phi-3-medium-… 331031 ms
  • p95 • avg • N 700773 ms • 387974 ms • 23
  • qwen/qwen3-8b 87534 ms
  • p95 • avg • N 257136 ms • 114424 ms • 26
  • microsoft/phi-3.5-mini-… 47878 ms
  • p95 • avg • N 254866 ms • 72523 ms • 26
  • google/gemma-3-12b-it 45690 ms
  • p95 • avg • N 67728 ms • 48109 ms • 8
  • [email protected]/Qw… 43707 ms
  • p95 • avg • N 114520 ms • 63724 ms • 4
Per-scene duration for this suite.
Suite Actions
Completion Progress 100%
4 of 4 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
27595906
Dec. 17, 2025, midnight
32556352
Dec. 16, 2025, midnight
25959670
Dec. 15, 2025, midnight
29138259
Dec. 14, 2025, midnight
25884077
Dec. 13, 2025, midnight
31429428
Dec. 12, 2025, midnight
27069100
Dec. 11, 2025, midnight
26716550
Dec. 10, 2025, midnight
29953749
Dec. 9, 2025, midnight
26834980
Dec. 8, 2025, midnight
Latency Overview (This Suite)