Daniel Ortiz
urban-life-society-security-guard-characters-harry-s-truman
v2.0
Ethical
Backstory: Daniel Ortiz, 38, is a night-shift security guard for a large mixed-use high-rise. A former military police officer, he now leverages his skills in risk assessment, de-escalation, and emergency response to protect residents and businesses while enjoying more family time. Fluent in English and Spanish, Daniel also volunteers coaching youth boxing, believing structured activities keep teens off the streets.
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]… | qwen/qwen-2.5-7b-in… | qwen/qwen3-14b | qwen/qwen3-8b |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
noise-complaint
Midnight Noise Complaint
|
0.774
Details |
0.634
Details |
0.755
Details |
0.584
Details |
0.000
Details
Error
|
0.696
Details |
0.000
Details
Error
|
0.000
Details |
0.000
Details
Error
|
0.763
Details |
0.776
Details |
0.831
Details |
0.849
Details |
fire-alarm-report
False Fire Alarm Incident Report
|
0.345
Details |
0.313
Details |
0.275
Details |
0.475
Details |
0.000
Details |
0.170
Details |
0.000
Details
Error
|
0.633
Details |
0.000
Details
Error
|
0.489
Details |
0.438
Details |
0.463
Details |
0.582
Details |
water-leak-spanish
Bilingual Water-Leak Guidance
|
0.693
Details |
0.802
Details |
0.585
Details |
0.000
Details |
0.000
Details
Error
|
0.404
Details |
0.000
Details
Error
|
0.485
Details |
0.000
Details
Error
|
0.002
Details |
0.467
Details |
0.878
Details |
0.635
Details |
community-newsletter
Safety & Community Newsletter Draft
|
0.742
Details |
0.170
Details |
0.448
Details |
0.598
Details |
0.000
Details
Error
|
0.695
Details |
0.000
Details
Error
|
0.612
Details |
0.000
Details
Error
|
0.410
Details |
0.527
Details |
0.184
Details |
0.775
Details |
Test Scenes 4
0
Scene Order
Midnight Noise Complaint
ID:
noise-complaint
🎯 Goal:
Politely de-escalate a tenant’s noise complaint and outline next steps in under 120 words.
📨 Input Events:
chat_msg
tenant_apt_1203
"It's 1 a.m. and the people above me are blasting music again! Do something, please."
Ready for Testing
1
Scene Order
False Fire Alarm Incident Report
ID:
fire-alarm-report
🎯 Goal:
Produce a detailed incident report of at least 150 words, using clear headings and a professional tone.
🧠 Initial State:
Pre-loaded Memories:
- 💭 {'kind': 'fact', 'content': 'Maintenance recently serviced smoke detectors on floors 8–12.', 'importance': 3}
📨 Input Events:
world_event
building_system
"Fire alarm activated on floors 8–12 at 02:13. No smoke detected; alarm manually silenced at 02:19."
Ready for Testing
2
Scene Order
Bilingual Water-Leak Guidance
ID:
water-leak-spanish
🎯 Goal:
Give concise instructions in Spanish first, then English, totaling no more than 100 words per language.
📨 Input Events:
chat_msg
resident_904
"¡Se está filtrando agua del pasillo cerca de mi puerta! ¿Qué hago?"
Ready for Testing
3
Scene Order
Safety & Community Newsletter Draft
ID:
community-newsletter
🎯 Goal:
Write a friendly, 200-300 word newsletter section that covers building safety tips and invites residents to the youth boxing program.
📨 Input Events:
chat_msg
building_manager
"Daniel, can you draft the safety section for next month’s resident newsletter? Mention your boxing program too."
Ready for Testing
Latency by Model (This Suite)
Fastest
- mistralai/mistral-7b-in… 275 ms
- p95 • avg • N 1226 ms • 466 ms • 8
- [email protected]/Qw… 8143 ms
- p95 • avg • N 8941 ms • 7583 ms • 4
- [email protected]/Qw… 11743 ms
- p95 • avg • N 14344 ms • 11193 ms • 4
- google/gemma-3-12b-it 19925 ms
- p95 • avg • N 30588 ms • 20703 ms • 8
- qwen/qwen-2.5-7b-instru… 23506 ms
- p95 • avg • N 32476 ms • 25271 ms • 11
Slowest
- microsoft/phi-3-medium-… 150065 ms
- p95 • avg • N 222090 ms • 150388 ms • 10
- microsoft/phi-3.5-mini-… 40892 ms
- p95 • avg • N 147903 ms • 61279 ms • 12
- deepseek/deepseek-r1-di… 32179 ms
- p95 • avg • N 36423 ms • 29608 ms • 8
- neversleep/noromaid-20b 31063 ms
- p95 • avg • N 58200 ms • 35472 ms • 8
- google/gemini-2.5-flash 28731 ms
- p95 • avg • N 43440 ms • 30401 ms • 11
Per-scene duration for this suite.
Suite Actions
Completion Progress
100%
4 of 4 scenes completed
Evaluation Schema
Enhanced Framework
Version v2 ACTIVE0 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
48125876
Dec. 17, 2025, midnight
53846361
Dec. 16, 2025, midnight
44993533
Dec. 15, 2025, midnight
46873249
Dec. 14, 2025, midnight
44748612
Dec. 13, 2025, midnight
53856004
Dec. 12, 2025, midnight
47319572
Dec. 11, 2025, midnight
46092655
Dec. 10, 2025, midnight
51659949
Dec. 9, 2025, midnight
45810816
Dec. 8, 2025, midnight