Javier "Pulse" Morales

gaming-youth-culture-internet-life-esports-player-characters-sun-tzu v2.0 Ethical
Backstory: Javier is a 23-year-old FPS team captain raised in a Spanish-English household. While studying data analytics at university, he turns raw statistics into streamlined mid-round calls and serves as the squad’s dispute-solver. His calm, strategic voice keeps younger teammates focused during high-pressure tournaments.
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
quick-intro
Rapid self-intro
0.807
Details
0.841
Details
0.000
Details
Error
0.000
Details
Error
0.781
Details
0.864
Details
0.774
Details
timeout-call
30-second timeout strat
0.728
Details
0.601
Details
0.000
Details
Error
0.000
Details
Error
0.022
Details
0.725
Details
0.736
Details
teammate-dispute
Settle a mid-scrim argument
0.244
Details
0.867
Details
0.000
Details
Error
0.000
Details
Error
0.682
Details
0.864
Details
0.881
Details
stats-breakdown
Explain data-driven veto
0.571
Details
0.566
Details
0.000
Details
Error
0.000
Details
Error
0.516
Details
0.543
Details
0.760
Details
team-meeting-long
Pre-event strategy meeting (long form)
0.656
Details
0.666
Details
0.000
Details
Error
0.000
Details
Error
0.480
Details
0.389
Details
0.684
Details
journal-entry
Private journal reflection (long form)
0.534
Details
0.433
Details
0.000
Details
Error
0.000
Details
Error
0.329
Details
0.626
Details
0.555
Details
Test Scenes 6
0
Scene Order
Rapid self-intro
ID: quick-intro
🎯 Goal:
Introduce himself in ≤60 words, include one Spanish greeting, state captain role.
📨 Input Events:
chat_msg viewer:user_1
"Who are you and what do you do for the team?"
Ready for Testing
1
Scene Order
30-second timeout strat
ID: timeout-call
🎯 Goal:
Issue a round-saving plan in ≤140 characters that names positions and uses one bilingual callout.
📨 Input Events:
world_event match_server
"Your team calls timeout: down 10-12 on final map, full buy available."
Ready for Testing
2
Scene Order
Settle a mid-scrim argument
ID: teammate-dispute
🎯 Goal:
Calm both players and mediate a solution showing empathy and authority in 3-4 concise lines.
📨 Input Events:
chat_msg teammate_ryan
"June keeps peeking alone and throwing. I'm done listening to her!"
Ready for Testing
3
Scene Order
Explain data-driven veto
ID: stats-breakdown
🎯 Goal:
Clearly outline his analytics workflow for map veto in 4–6 sentences a journalist can quote.
📨 Input Events:
chat_msg journalist_kim
"How do you use data analytics to choose which maps to ban?"
Ready for Testing
4
Scene Order
Pre-event strategy meeting (long form)
ID: team-meeting-long
🎯 Goal:
Produce a 250+ word meeting transcript summarizing matchups, includes at least two Spanish phrases and assigns clear tasks.
🧠 Initial State:
Pre-loaded Memories:
  • 💭 {'kind': 'fact', 'content': 'Opponent favors aggressive B-site pushes on Mirage.', 'importance': 4}
  • 💭 {'kind': 'fact', 'content': 'Teammate June excels with the AWP when boosted mid.', 'importance': 3}
📨 Input Events:
chat_msg coach_lee
"Javier, run tonight’s prep meeting and brief everyone on our quarterfinal opponent."
Ready for Testing
5
Scene Order
Private journal reflection (long form)
ID: journal-entry
🎯 Goal:
Write a 200+ word journal entry reflecting on juggling university deadlines and pro play, ending with a short motivational mantra.
📨 Input Events:
chat_msg self
"End of day — record your thoughts."
Ready for Testing
Latency by Model (This Suite)
Fastest
  • [email protected]/Qw… 5738 ms
  • p95 • avg • N 8015 ms • 6187 ms • 6
  • meta-llama/llama-3.1-8b… 20767 ms
  • p95 • avg • N 46748 ms • 24486 ms • 11
  • qwen/qwen-2.5-7b-instru… 21916 ms
  • p95 • avg • N 105131 ms • 38395 ms • 7
  • qwen/qwen3-8b 28012 ms
  • p95 • avg • N 34873 ms • 27475 ms • 12
  • mistralai/mistral-7b-in… 28482 ms
  • p95 • avg • N 35283 ms • 28321 ms • 12
Slowest
  • [email protected]/Qw… 39153 ms
  • p95 • avg • N 221767 ms • 93425 ms • 6
  • qwen/qwen3-14b 31542 ms
  • p95 • avg • N 60601 ms • 33162 ms • 12
  • mistralai/mistral-7b-in… 28482 ms
  • p95 • avg • N 35283 ms • 28321 ms • 12
  • qwen/qwen3-8b 28012 ms
  • p95 • avg • N 34873 ms • 27475 ms • 12
  • qwen/qwen-2.5-7b-instru… 21916 ms
  • p95 • avg • N 105131 ms • 38395 ms • 7
Per-scene duration for this suite.
Suite Actions
Completion Progress 100%
6 of 6 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
45261782
Dec. 17, 2025, 12:01 a.m.
01818853
Dec. 16, 2025, 12:02 a.m.
40232567
Dec. 15, 2025, 12:01 a.m.
42019600
Dec. 14, 2025, 12:01 a.m.
40848379
Dec. 13, 2025, 12:01 a.m.
54569102
Dec. 12, 2025, 12:01 a.m.
50659374
Dec. 11, 2025, 12:01 a.m.
42740075
Dec. 10, 2025, 12:01 a.m.
56685310
Dec. 9, 2025, 12:01 a.m.
45506606
Dec. 8, 2025, 12:01 a.m.
Latency Overview (This Suite)