Daniel Njoroge

kenyan-public-figures-non-political-eliud-kipchoge v2.0 Ethical
Backstory: Daniel rose from a small farming village to the world stage of marathon running through disciplined, data-driven training. He keeps a meticulous journal, embraces a minimalist lifestyle, and credits mindfulness for his mental edge. Soft-spoken and humble, Daniel now mentors younger athletes, emphasizing methodical preparation and mental wellness.
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
post-race-reflection
Post-race reflection
 0.886
Details 		0.807
Details 		0.730
Details 		0.000
Details 		0.000
Details 		0.726
Details 		0.793
Details 		0.000
Details 		0.000
Details
Error
0.000
Details
Error
0.899
Details 		0.755
Details 		0.921
Details 		0.806
Details 		0.918
Details 		0.700
Details
training-journal-entry
Daily training journal
 0.633
Details 		0.780
Details 		0.824
Details 		0.417
Details 		0.000
Details 		0.763
Details 		0.451
Details 		0.622
Details 		0.000
Details
Error
0.000
Details
Error
0.597
Details 		0.742
Details 		0.576
Details 		0.609
Details 		0.142
Details 		0.722
Details
quick-mindfulness-tip
Mindfulness advice
 0.840
Details 		0.781
Details 		0.751
Details 		0.000
Details 		0.011
Details 		0.831
Details 		0.843
Details 		0.753
Details 		0.000
Details
Error
0.000
Details
Error
0.760
Details 		0.807
Details 		0.799
Details 		0.596
Details 		0.632
Details 		0.757
Details
podcast-motivation
Podcast motivational segment
 0.497
Details 		0.885
Details 		0.605
Details 		0.215
Details 		0.000
Details 		0.347
Details 		0.554
Details 		0.409
Details 		0.000
Details
Error
0.000
Details
Error
0.382
Details 		0.776
Details 		0.515
Details 		0.323
Details 		0.842
Details 		0.546
Details
Test Scenes 4
0
Scene Order
Post-race reflection
ID: post-race-reflection
🎯 Goal:
Respond with gratitude and humility, crediting methodical training and team support.
📨 Input Events:
chat_msg viewer:journalist_anna
"Daniel, congratulations on winning the Rotterdam Marathon! How are you feeling right now?"
Ready for Testing
1
Scene Order
Daily training journal
ID: training-journal-entry
🎯 Goal:
Produce a ~150-word journal entry that includes pacing data, nutrition notes, and a brief mindful reflection.
📨 Input Events:
chat_msg viewer:coach_lee
"Daniel, could you share today's detailed training journal entry? Around 150 words, please include your splits."
Ready for Testing
2
Scene Order
Mindfulness advice
ID: quick-mindfulness-tip
🎯 Goal:
Give a concise, actionable pre-race mindfulness technique in a calm, encouraging voice.
📨 Input Events:
chat_msg viewer:junior_runner_maya
"I'm always anxious at the starting line. Do you have a quick mindfulness exercise I can try?"
Ready for Testing
3
Scene Order
Podcast motivational segment
ID: podcast-motivation
🎯 Goal:
Deliver an approximately 350-word motivational talk for junior runners that promotes mental wellness and steady training habits.
📨 Input Events:
chat_msg viewer:podcast_host_rico
"Daniel, please record a 3-minute motivational talk for our podcast audience of high-school runners."
Ready for Testing
Latency by Model (This Suite)
Fastest
  • [email protected]/Qw… 200 ms
  • p95 • avg • N 203 ms • 200 ms • 4
  • [email protected]/Qw… 9115 ms
  • p95 • avg • N 11753 ms • 9576 ms • 4
  • [email protected]/Qw… 11119 ms
  • p95 • avg • N 13181 ms • 10980 ms • 4
  • [email protected]/Qw… 17852 ms
  • p95 • avg • N 19188 ms • 17731 ms • 4
  • meta-llama/llama-3.1-8b… 19294 ms
  • p95 • avg • N 35696 ms • 23161 ms • 7
Slowest
  • microsoft/phi-3-medium-… 269332 ms
  • p95 • avg • N 541378 ms • 290262 ms • 26
  • qwen/qwen3-8b 82462 ms
  • p95 • avg • N 136391 ms • 87847 ms • 28
  • [email protected]/Qw… 41090 ms
  • p95 • avg • N 221156 ms • 93002 ms • 4
  • microsoft/phi-3.5-mini-… 41037 ms
  • p95 • avg • N 256705 ms • 65211 ms • 18
  • neversleep/noromaid-20b 38122 ms
  • p95 • avg • N 81118 ms • 34294 ms • 25
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
27392300
Dec. 17, 2025, midnight
32300095
Dec. 16, 2025, midnight
25754579
Dec. 15, 2025, midnight
28929945
Dec. 14, 2025, midnight
25689450
Dec. 13, 2025, midnight
31192228
Dec. 12, 2025, midnight
26863428
Dec. 11, 2025, midnight
26481672
Dec. 10, 2025, midnight
29746700
Dec. 9, 2025, midnight
26596267
Dec. 8, 2025, midnight
Latency Overview (This Suite)