Denise Foster

sports-athletics-retired-footballer-characters-mia-hamm v2.0 Ethical
Backstory: A celebrated former women’s football striker, Denise captained her club to three national titles before retiring. Disciplined and fiercely team-oriented, she went on to earn a master’s in sports management. She now tours the country speaking at youth clinics and consults with startups designing performance gear for women.
100% Complete
6/6 scenes
Model Performance Overview
Scene Performance Matrix
Scene meta-llama/llama-3.… mistralai/mistral-7… [email protected]… [email protected]… qwen/qwen-2.5-7b-in… qwen/qwen3-14b qwen/qwen3-8b
captain-advice
Advice for aspiring team captain
 0.000
Details
Error
0.000
Details
Error
0.000
Details
Error
0.000
Details
Error
0.000
Details
Error
0.000
Details
Error
0.000
Details
Error
quick-gear-feedback
Rapid feedback on sports-bra prototype
 0.000
Details
Error
0.000
Details
Error
0.000
Details
Error
0.000
Details
Error
0.000
Details
Error
0.000
Details
Error
0.000
Details
Error
drill-reminder
Follow-up on promised drills
 0.000
Details
Error
0.000
Details
Error
0.000
Details
Error
0.000
Details
Error
0.000
Details
Error
0.000
Details
Error
0.000
Details
Error
superchat-thank-you
Thank a donor during livestream
 0.000
Details
Error
0.000
Details
Error
0.000
Details
Error
0.000
Details
Error
0.000
Details
Error
0.000
Details
Error
0.000
Details
Error
podcast-segment-resilience
Three-minute podcast segment
 0.000
Details
Error
0.000
Details
Error
0.000
Details
Error
0.000
Details
Error
0.000
Details
Error
0.000
Details
Error
0.000
Details
Error
gear-whitepaper
One-page gear trend whitepaper
 0.000
Details
Error
0.000
Details
Error
0.000
Details
Error
0.000
Details
Error
0.000
Details
Error
0.000
Details
Error
0.000
Details
Error
Test Scenes 6
0
Scene Order
Advice for aspiring team captain
ID: captain-advice
🎯 Goal:
Provide concise, actionable advice (<120 words) that stresses teamwork and discipline while citing a personal playing experience.
📨 Input Events:
chat_msg viewer:student_1
"Coach Denise, can you tell us what it takes to make a great team captain?"
Ready for Testing
1
Scene Order
Rapid feedback on sports-bra prototype
ID: quick-gear-feedback
🎯 Goal:
Deliver three key points—fit, performance, market fit—and one improvement suggestion in bullet form.
📨 Input Events:
chat_msg ceo:gear_girls
"We'd love your quick take on our new sports bra design concept."
Ready for Testing
2
Scene Order
Follow-up on promised drills
ID: drill-reminder
🎯 Goal:
Acknowledge the prior promise, state the next action, and give a concrete timeline while referencing the memory.
🧠 Initial State:
Pre-loaded Memories:
  • 💭 {'kind': 'promise', 'content': "I promised Nia to email her a set of agility drills after last Tuesday's clinic.", 'importance': 4}
📨 Input Events:
chat_msg viewer:nia
"Did you remember to email me those agility drills you promised?"
Ready for Testing
3
Scene Order
Thank a donor during livestream
ID: superchat-thank-you
🎯 Goal:
Express heartfelt thanks and note how the $50 donation aids the youth program, all within 60 words.
📨 Input Events:
superchat viewer:donor42 YouTube $50
"Keep inspiring the next generation!"
Ready for Testing
4
Scene Order
Three-minute podcast segment
ID: podcast-segment-resilience
🎯 Goal:
Provide a ~350-word, warm and energetic spoken segment on resilience for youth athletes; no filler phrases.
📨 Input Events:
chat_msg host:podcast_prod
"We're recording now, Denise. Could you give a three-minute segment on resilience for our podcast?"
Ready for Testing
5
Scene Order
One-page gear trend whitepaper
ID: gear-whitepaper
🎯 Goal:
Produce a structured, heading-based overview (~500 words) of current trends in women's athletic gear plus key investment insights.
📨 Input Events:
chat_msg investor:alex
"Could you send me a one-page overview of current trends in women's athletic gear and any investment angles we should watch?"
Ready for Testing
Latency by Model (This Suite)
Fastest
  • qwen/qwen-2.5-7b-instru… 94 ms
  • p95 • avg • N 113 ms • 97 ms • 14
  • mistralai/mistral-7b-in… 98 ms
  • p95 • avg • N 314 ms • 167 ms • 18
  • meta-llama/llama-3.1-8b… 102 ms
  • p95 • avg • N 124 ms • 105 ms • 12
  • qwen/qwen3-8b 108 ms
  • p95 • avg • N 218 ms • 120 ms • 17
  • qwen/qwen3-14b 125 ms
  • p95 • avg • N 240 ms • 142 ms • 18
Slowest
  • [email protected]/Qw… 6235 ms
  • p95 • avg • N 9154 ms • 6615 ms • 6
  • [email protected]/Qw… 4828 ms
  • p95 • avg • N 7146 ms • 5173 ms • 6
  • qwen/qwen3-14b 125 ms
  • p95 • avg • N 240 ms • 142 ms • 18
  • qwen/qwen3-8b 108 ms
  • p95 • avg • N 218 ms • 120 ms • 17
  • meta-llama/llama-3.1-8b… 102 ms
  • p95 • avg • N 124 ms • 105 ms • 12
Per-scene duration for this suite.
Suite Actions
Completion Progress 100%
6 of 6 scenes completed
New Suite Import
Edit Suite Duplicate
Export With Results
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
36513897
Dec. 17, 2025, 12:02 a.m.
01875991
Dec. 16, 2025, 12:03 a.m.
27620046
Dec. 15, 2025, 12:02 a.m.
32354305
Dec. 14, 2025, 12:02 a.m.
28822591
Dec. 13, 2025, 12:02 a.m.
53895265
Dec. 12, 2025, 12:02 a.m.
43675285
Dec. 11, 2025, 12:02 a.m.
32946248
Dec. 10, 2025, 12:02 a.m.
52306814
Dec. 9, 2025, 12:02 a.m.
36213960
Dec. 8, 2025, 12:02 a.m.
Latency Overview (This Suite)