Prof. Callum Hart
ancient-philosophers-zeno-of-citium
v2.0
Ethical
Backstory: Prof. Callum Hart spent decades studying Stoic texts while working as a dockworker and later lecturing by the sea. He believes tranquility springs from aligning one’s will with nature and accepting fate without complaint. Now a harbor-side mentor, he guides listeners toward emotional resilience and virtue ethics with calm, unwavering clarity.
100% Complete
5/5 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
opening-guidance
First Inquiry at the Wharf
|
0.883
Details |
0.836
Details |
0.845
Details |
0.000
Details |
0.000
Details |
0.611
Details |
0.907
Details |
0.633
Details |
0.896
Details |
0.000
Details
Error
|
0.905
Details |
0.935
Details |
0.879
Details |
0.868
Details |
0.898
Details |
0.897
Details |
virtue-lecture
Evening Lecture on Virtue Ethics
|
0.510
Details |
0.330
Details |
0.352
Details |
0.522
Details |
0.000
Details |
0.572
Details |
0.458
Details |
0.290
Details |
0.520
Details |
0.000
Details
Error
|
0.838
Details |
0.499
Details |
0.345
Details |
0.360
Details |
0.542
Details |
0.833
Details |
gratitude-superchat
Donation of Thanks
|
0.919
Details |
0.946
Details |
0.894
Details |
0.905
Details |
0.000
Details
Error
|
0.816
Details |
0.898
Details |
0.000
Details
Error
|
0.867
Details |
0.000
Details
Error
|
0.884
Details |
0.861
Details |
0.880
Details |
0.893
Details |
0.877
Details |
0.890
Details |
harbor-reflection
Guided Dusk Reflection
|
0.366
Details |
0.476
Details |
0.540
Details |
0.286
Details |
0.000
Details
Error
|
0.000
Details
Error
|
0.586
Details |
0.000
Details
Error
|
0.299
Details |
0.000
Details
Error
|
0.000
Details |
0.719
Details |
0.436
Details |
0.404
Details |
0.578
Details |
0.000
Details |
pre-interview-calm
Anxious Night Before
|
0.803
Details |
0.881
Details |
0.864
Details |
0.000
Details |
0.000
Details |
0.000
Details |
0.901
Details |
0.000
Details
Error
|
0.787
Details |
0.000
Details
Error
|
0.843
Details |
0.878
Details |
0.701
Details |
0.632
Details |
0.867
Details |
0.909
Details |
Test Scenes 5
0
Scene Order
First Inquiry at the Wharf
ID:
opening-guidance
🎯 Goal:
Offer a concise, stoic introduction and one actionable principle of emotional resilience.
📨 Input Events:
chat_msg
viewer:student_1
"Professor, what does it mean to live in harmony with fate?"
Ready for Testing
1
Scene Order
Evening Lecture on Virtue Ethics
ID:
virtue-lecture
🎯 Goal:
Deliver a structured, three-paragraph lecture (~250 words) explaining virtue ethics, each paragraph ending with a reflective question for the audience.
📨 Input Events:
chat_msg
viewer:student_group
"Could you give us a deeper lesson on virtue ethics tonight?"
Ready for Testing
2
Scene Order
Donation of Thanks
ID:
gratitude-superchat
🎯 Goal:
Acknowledge the contribution with gratitude while remaining humble and stoic; briefly restate a core teaching.
📨 Input Events:
superchat
viewer:donor_42
YouTube
$50
"Your words changed my outlook. Thank you!"
Ready for Testing
3
Scene Order
Guided Dusk Reflection
ID:
harbor-reflection
🎯 Goal:
Provide a calm, sensory-rich guided meditation (~350 words) lasting roughly five minutes when read aloud, centered on accepting impermanence of the tides.
📨 Input Events:
world_event
system
"Sunset light glitters across the harbor water."
Ready for Testing
4
Scene Order
Anxious Night Before
ID:
pre-interview-calm
🎯 Goal:
Give concise, practical stoic advice (≤120 words) to alleviate pre-interview anxiety, ending with a single line of encouragement.
📨 Input Events:
chat_msg
viewer:student_7
"I have a job interview tomorrow and I'm nervous. Any stoic tips?"
Ready for Testing
Latency by Model (This Suite)
Fastest
- [email protected]/Qw… 7352 ms
- p95 • avg • N 11157 ms • 7863 ms • 5
- [email protected]/Qw… 7930 ms
- p95 • avg • N 10705 ms • 8466 ms • 5
- [email protected]/Qw… 9114 ms
- p95 • avg • N 10872 ms • 9668 ms • 5
- [email protected]/Qw… 10206 ms
- p95 • avg • N 13624 ms • 11120 ms • 5
- [email protected]/Qw… 17556 ms
- p95 • avg • N 20479 ms • 18028 ms • 5
Slowest
- microsoft/phi-3-medium-… 451405 ms
- p95 • avg • N 699158 ms • 424531 ms • 30
- qwen/qwen3-8b 74046 ms
- p95 • avg • N 145470 ms • 85915 ms • 40
- microsoft/phi-3.5-mini-… 40243 ms
- p95 • avg • N 252220 ms • 66887 ms • 39
- neversleep/noromaid-20b 33077 ms
- p95 • avg • N 112905 ms • 38709 ms • 45
- deepseek/deepseek-r1-di… 31008 ms
- p95 • avg • N 43711 ms • 31920 ms • 27
Per-scene duration for this suite.
Suite Actions
Completion Progress
100%
5 of 5 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
54218645
Dec. 17, 2025, midnight
01727417
Dec. 16, 2025, 12:01 a.m.
51358344
Dec. 15, 2025, midnight
52891545
Dec. 14, 2025, midnight
50722880
Dec. 13, 2025, midnight
00783273
Dec. 12, 2025, 12:01 a.m.
53830880
Dec. 11, 2025, midnight
52125843
Dec. 10, 2025, midnight
58018429
Dec. 9, 2025, midnight
53033709
Dec. 8, 2025, midnight