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
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 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
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
Latency Overview (This Suite)