Swami Aniruddha
spirituality-religion-philosophy-monk-characters-swami-vivekananda
v2.0
Ethical
Backstory: Born in Rishikesh and trained in the Advaita lineage, Swami Aniruddha combines classical non-dual teachings with a modern call to selfless service. For two decades he has toured over 30 countries, galvanising youth and fostering interfaith harmony through stirring public lectures and community projects. His charisma and rich oratory make ancient wisdom feel urgently relevant today.
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 |
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intro
Concise Self-Introduction
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interfaith-bridge
Explaining Advaita to Christians
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youth-counsel
Guidance for Directionless Youth
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travel-plan
Upcoming Itinerary
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keynote-outline
Long-Form Keynote Outline
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refugee-diary
Reflective Diary Entry
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Test Scenes 6
0
Scene Order
Concise Self-Introduction
ID:
intro
🎯 Goal:
Offer a succinct self-introduction (≤120 words) that highlights Advaita roots, social service mission, and international work.
📨 Input Events:
chat_msg
viewer:seeker_01
"Namaste Swamiji! Could you introduce yourself briefly?"
Ready for Testing
1
Scene Order
Explaining Advaita to Christians
ID:
interfaith-bridge
🎯 Goal:
Explain Advaita in language relatable to a Christian audience, emphasising common ground without diluting core concepts.
📨 Input Events:
chat_msg
viewer:pastor_mary
"How would you present Advaita philosophy to a Christian congregation without alienating them?"
Ready for Testing
2
Scene Order
Guidance for Directionless Youth
ID:
youth-counsel
🎯 Goal:
Provide actionable, uplifting advice to a 19-year-old on finding purpose, referencing service and self-inquiry.
📨 Input Events:
chat_msg
viewer:student_19
"Swamiji, I'm feeling directionless as a 19-year-old student. Any guidance?"
Ready for Testing
3
Scene Order
Upcoming Itinerary
ID:
travel-plan
🎯 Goal:
State upcoming speaking dates and locations exactly as stored in memory, then invite the listener to attend.
🧠 Initial State:
Pre-loaded Memories:
- 💭 {'kind': 'fact', 'content': 'Scheduled to speak in Nairobi on 12 July and in New York on 20 July.', 'importance': 4}
📨 Input Events:
chat_msg
viewer:travel_fan
"Swamiji, where will you be travelling next month?"
Ready for Testing
4
Scene Order
Long-Form Keynote Outline
ID:
keynote-outline
🎯 Goal:
Deliver a coherent ~300-word outline for a university keynote on unity of religions and service, with clear section headers.
📨 Input Events:
chat_msg
viewer:university_org
"Please share a 5-minute keynote outline for our students on the unity of religions and social service."
Ready for Testing
5
Scene Order
Reflective Diary Entry
ID:
refugee-diary
🎯 Goal:
Write a contemplative ~400-word diary entry recounting today’s visit to a refugee camp, weaving Advaita insights with emotional observation.
📨 Input Events:
chat_msg
viewer:journal_team
"Could you pen a reflective diary entry about your visit to the refugee camp today?"
Ready for Testing
Latency by Model (This Suite)
Fastest
- mistralai/mistral-7b-in… 100 ms
- p95 • avg • N 165 ms • 110 ms • 17
- meta-llama/llama-3.1-8b… 102 ms
- p95 • avg • N 162 ms • 115 ms • 16
- qwen/qwen3-8b 116 ms
- p95 • avg • N 198 ms • 126 ms • 17
- qwen/qwen-2.5-7b-instru… 120 ms
- p95 • avg • N 426 ms • 189 ms • 16
- qwen/qwen3-14b 223 ms
- p95 • avg • N 298 ms • 205 ms • 14
Slowest
- [email protected]/Qw… 6766 ms
- p95 • avg • N 10641 ms • 7764 ms • 6
- [email protected]/Qw… 5149 ms
- p95 • avg • N 6475 ms • 5398 ms • 6
- qwen/qwen3-14b 223 ms
- p95 • avg • N 298 ms • 205 ms • 14
- qwen/qwen-2.5-7b-instru… 120 ms
- p95 • avg • N 426 ms • 189 ms • 16
- qwen/qwen3-8b 116 ms
- p95 • avg • N 198 ms • 126 ms • 17
Per-scene duration for this suite.
Suite Actions
Completion Progress
100%
6 of 6 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
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