Dr. Regina Hayes

found-footage-genre-movie-characters-gertrude-bell v2.0 Ethical
Backstory: Regina holds a PhD in anthropology and roams remote regions gathering oral histories about legendary creatures. Open-minded yet rigorously analytical, she hikes dense forests with night-vision cameras, always honoring local customs. Her aim is to preserve folklore while searching for patterns that might explain recurring cryptid sightings.
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
origin-story
Spark of fascination
0.000
Details
0.892
Details
0.000
Details
Error
0.000
Details
Error
0.014
Details
0.899
Details
0.902
Details
gear-advice
Night-vision essentials
0.579
Details
0.630
Details
0.000
Details
Error
0.000
Details
Error
0.643
Details
0.656
Details
0.611
Details
invite-ceremony
Community invitation
0.769
Details
0.745
Details
0.000
Details
Error
0.000
Details
Error
0.817
Details
0.853
Details
0.652
Details
translate-tale
Story snippet translation
0.538
Details
0.784
Details
0.000
Details
Error
0.000
Details
Error
0.634
Details
0.895
Details
0.562
Details
journal-dusk-patrol
Field journal after dusk patrol
0.416
Details
0.509
Details
0.000
Details
Error
0.000
Details
Error
0.285
Details
0.300
Details
0.626
Details
symposium-talk
Live symposium summary
0.199
Details
0.358
Details
0.000
Details
Error
0.000
Details
Error
0.229
Details
0.493
Details
0.657
Details
Test Scenes 6
0
Scene Order
Spark of fascination
ID: origin-story
🎯 Goal:
Share a concise, personal anecdote that explains what ignited Regina’s cryptid research career.
📨 Input Events:
chat_msg viewer:urbanexplorer
"What first got you interested in chasing folklore creatures?"
Ready for Testing
1
Scene Order
Night-vision essentials
ID: gear-advice
🎯 Goal:
Recommend practical night-vision gear and safety tips in under 120 words.
📨 Input Events:
superchat viewer:gearGeek YouTube $20
"What’s the best affordable night-vision setup for a beginner field researcher?"
Ready for Testing
2
Scene Order
Community invitation
ID: invite-ceremony
🎯 Goal:
Politely accept the chief’s invitation and state one way Regina will respect ceremonial protocol.
📨 Input Events:
world_event world
"Village chief Mata’u has invited you to tonight’s ancestral drum ceremony deep in the valley."
Ready for Testing
3
Scene Order
Story snippet translation
ID: translate-tale
🎯 Goal:
Translate the villager’s phrase and give a brief cultural analysis (max 2 sentences beyond translation).
📨 Input Events:
chat_msg viewer:linguistFan
"The elder said, ‘Ko te ika a te ngahere e tiaki ana i te pō’. What does that mean?"
Ready for Testing
4
Scene Order
Field journal after dusk patrol
ID: journal-dusk-patrol
🎯 Goal:
Write a reflective journal entry of at least 250 words capturing sensory details, local etiquette observed, and analytical notes on nocturnal sounds.
🧠 Initial State:
Pre-loaded Memories:
  • 💭 {'kind': 'fact', 'tags': ['legend'], 'content': 'Local guides believe the ‘Forest Fish’ appears only when drums stop suddenly.', 'importance': 3}
  • 💭 {'kind': 'preference', 'content': 'Regina always notes wind direction to explain distant calls.', 'importance': 2}
📨 Input Events:
world_event world
"You have returned to camp after a four-hour night patrol in the cloud forest."
Ready for Testing
5
Scene Order
Live symposium summary
ID: symposium-talk
🎯 Goal:
Deliver a structured, conference-style overview (~400 words) summarizing recent findings and ethical considerations.
📨 Input Events:
chat_msg moderator:SymposiumHost
"You’re live at the Global Anthropology Symposium—please begin your summary."
Ready for Testing
Latency by Model (This Suite)
Fastest
  • [email protected]/Qw… 7472 ms
  • p95 • avg • N 10347 ms • 7874 ms • 6
  • qwen/qwen3-14b 24441 ms
  • p95 • avg • N 39963 ms • 26095 ms • 11
  • qwen/qwen-2.5-7b-instru… 25932 ms
  • p95 • avg • N 142439 ms • 61724 ms • 9
  • meta-llama/llama-3.1-8b… 26936 ms
  • p95 • avg • N 38620 ms • 26219 ms • 12
  • qwen/qwen3-8b 27947 ms
  • p95 • avg • N 39994 ms • 30384 ms • 11
Slowest
  • [email protected]/Qw… 40963 ms
  • p95 • avg • N 43421 ms • 40365 ms • 6
  • mistralai/mistral-7b-in… 30852 ms
  • p95 • avg • N 39401 ms • 30556 ms • 12
  • qwen/qwen3-8b 27947 ms
  • p95 • avg • N 39994 ms • 30384 ms • 11
  • meta-llama/llama-3.1-8b… 26936 ms
  • p95 • avg • N 38620 ms • 26219 ms • 12
  • qwen/qwen-2.5-7b-instru… 25932 ms
  • p95 • avg • N 142439 ms • 61724 ms • 9
Per-scene duration for this suite.
Suite Actions
Completion Progress 100%
6 of 6 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
42115467
Dec. 17, 2025, 12:01 a.m.
58008541
Dec. 16, 2025, 12:01 a.m.
37253745
Dec. 15, 2025, 12:01 a.m.
38948683
Dec. 14, 2025, 12:01 a.m.
37960419
Dec. 13, 2025, 12:01 a.m.
51061529
Dec. 12, 2025, 12:01 a.m.
47372479
Dec. 11, 2025, 12:01 a.m.
39705644
Dec. 10, 2025, 12:01 a.m.
53349645
Dec. 9, 2025, 12:01 a.m.
42186866
Dec. 8, 2025, 12:01 a.m.
Latency Overview (This Suite)