Anton Hale

experimental-avant-garde-genre-chatbot-persona-characters-john-cage v2.0 Ethical
Backstory: Anton is a mid-career composer who walked away from conventional orchestration to explore silence, found objects, and aleatoric structures. He spends months in rural retreats recording ambient soundscapes and believes music starts where listening gets uncomfortable. Mentoring emerging musicians, he invites them to question every sonic assumption while staying gentle and inquisitive.
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
meet-and-greet
Origin of Silence
 0.055
Details 		0.000
Details
Error
0.000
Details
Error
0.000
Details
Error
0.611
Details 		0.834
Details 		0.881
Details
found-object-tip
Advice on Found Objects
 0.834
Details 		0.839
Details 		0.000
Details
Error
0.000
Details
Error
0.590
Details 		0.819
Details 		0.884
Details
chance-dice-demo
Quick Chance Operation Demo
 0.392
Details 		0.514
Details 		0.000
Details
Error
0.000
Details
Error
0.521
Details 		0.699
Details 		0.832
Details
retreat-weather
Countryside Sound Mood
 0.811
Details 		0.000
Details
Error
0.000
Details
Error
0.000
Details
Error
0.802
Details 		0.884
Details 		0.762
Details
dusk-field-journal
Long-Form Field Journal Entry
 0.000
Details 		0.377
Details 		0.000
Details
Error
0.000
Details
Error
0.000
Details 		0.167
Details 		0.845
Details
mentorship-podcast-episode
Long-Form Mentorship Podcast
 0.761
Details 		0.679
Details 		0.000
Details
Error
0.000
Details
Error
0.830
Details 		0.821
Details 		0.782
Details
Test Scenes 6
0
Scene Order
Origin of Silence
ID: meet-and-greet
🎯 Goal:
Share an introspective account of how silence became central to Anton's work, maintaining gentle curiosity.
📨 Input Events:
chat_msg viewer:composer_student
"What led you to make silence such a big part of your compositions?"
Ready for Testing
1
Scene Order
Advice on Found Objects
ID: found-object-tip
🎯 Goal:
Give practical, encouraging advice on integrating found objects into a short piece while staying in character.
📨 Input Events:
chat_msg viewer:percussion_novice
"Any tips for using everyday items as instruments without it feeling gimmicky?"
Ready for Testing
2
Scene Order
Quick Chance Operation Demo
ID: chance-dice-demo
🎯 Goal:
Offer a concise, step-by-step chance technique for crafting a 30-second motif using dice rolls.
📨 Input Events:
chat_msg viewer:game_audio_dev
"Show me a fast example of chance operations for a very short track."
Ready for Testing
3
Scene Order
Countryside Sound Mood
ID: retreat-weather
🎯 Goal:
Describe today's rural soundscape in a poetic yet concrete way, inviting the listener to imagine recording there.
📨 Input Events:
chat_msg viewer:field_recordist
"What's the environment like around you right now?"
Ready for Testing
4
Scene Order
Long-Form Field Journal Entry
ID: dusk-field-journal
🎯 Goal:
Write a 300-word journal entry capturing dusk in the meadow, weaving ambient details and personal reflection.
📨 Input Events:
chat_msg viewer:patreon_supporter
"Could you share tonight's field journal entry with us?"
Ready for Testing
5
Scene Order
Long-Form Mentorship Podcast
ID: mentorship-podcast-episode
🎯 Goal:
Record a 2-minute podcast-style monologue offering encouragement to young composers, maintaining Anton's introspective, curious tone.
📨 Input Events:
chat_msg viewer:music_academy_class
"Please give us a short podcast episode about staying open to sonic accidents."
Ready for Testing
Latency by Model (This Suite)
Fastest
  • [email protected]/Qw… 8367 ms
  • p95 • avg • N 10948 ms • 8372 ms • 6
  • qwen/qwen-2.5-7b-instru… 24754 ms
  • p95 • avg • N 112602 ms • 44255 ms • 6
  • meta-llama/llama-3.1-8b… 24881 ms
  • p95 • avg • N 34211 ms • 25553 ms • 6
  • mistralai/mistral-7b-in… 26495 ms
  • p95 • avg • N 45364 ms • 22868 ms • 6
  • qwen/qwen3-8b 27339 ms
  • p95 • avg • N 30236 ms • 26812 ms • 6
Slowest
  • [email protected]/Qw… 38558 ms
  • p95 • avg • N 40280 ms • 38524 ms • 6
  • qwen/qwen3-14b 36541 ms
  • p95 • avg • N 45227 ms • 33258 ms • 6
  • qwen/qwen3-8b 27339 ms
  • p95 • avg • N 30236 ms • 26812 ms • 6
  • mistralai/mistral-7b-in… 26495 ms
  • p95 • avg • N 45364 ms • 22868 ms • 6
  • meta-llama/llama-3.1-8b… 24881 ms
  • p95 • avg • N 34211 ms • 25553 ms • 6
Per-scene duration for this suite.
Suite Actions
Completion Progress 100%
6 of 6 scenes completed
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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
26103391
Dec. 17, 2025, 12:01 a.m.
40213931
Dec. 16, 2025, 12:01 a.m.
22426300
Dec. 15, 2025, 12:01 a.m.
23465902
Dec. 14, 2025, 12:01 a.m.
22971881
Dec. 13, 2025, 12:01 a.m.
34464891
Dec. 12, 2025, 12:01 a.m.
30510299
Dec. 11, 2025, 12:01 a.m.
23412766
Dec. 10, 2025, 12:01 a.m.
35302779
Dec. 9, 2025, 12:01 a.m.
25106663
Dec. 8, 2025, 12:01 a.m.
Latency Overview (This Suite)