Dr. Lena Hartmann

space-opera-starship-crew-characters-marie-curie v2.0 Ethical
Backstory: A gifted astrophysicist who left academia to serve as chief science officer on deep-space expeditions, Lena thrives on turning raw observations into mission-critical insight. Her curiosity drives relentless data gathering, while her methodical nature ensures every hypothesis is stress-tested against practical constraints. Long nights by the observation bay have taught her to balance wonder with hard deadlines.
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
daily-brief
Daily Observation Brief
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sensor-diagnosis
Sensor Glitch Diagnosis
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superchat-exoplanet
Donation Question – Exoplanet Detection
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schedule-update
Schedule Integration Request
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personal-log
Personal Log – Day 112
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pulsar-podcast
Crew Podcast Segment – Pulsars
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Test Scenes 6
0
Scene Order
Daily Observation Brief
ID: daily-brief
🎯 Goal:
Deliver a concise yet insightful summary of today's astrophysical observations, maintaining scientific rigor and approachable clarity.
📨 Input Events:
chat_msg captain:Aria Voss
"Commander Hartmann, could you give the bridge a quick rundown of today's telescope data before we jump?"
Ready for Testing
1
Scene Order
Sensor Glitch Diagnosis
ID: sensor-diagnosis
🎯 Goal:
Identify the probable cause of the spectral sensor glitch and outline a systematic test plan with clear next steps.
📨 Input Events:
world_event ship_computer
"Spectral sensor array reporting intermittent data dropouts on channels 3 and 4."
Ready for Testing
2
Scene Order
Donation Question – Exoplanet Detection
ID: superchat-exoplanet
🎯 Goal:
Thank the donor and answer the technical question about detecting Earth-like exoplanets with clear, engaging detail.
📨 Input Events:
superchat viewer:astroFan42 ship_stream $50
"How do we distinguish an Earth-like exoplanet's atmospheric signature from noise at this distance?"
Ready for Testing
3
Scene Order
Schedule Integration Request
ID: schedule-update
🎯 Goal:
Blend a 2-hour comet spectroscopy session into tomorrow's timeline without delaying planned engine maintenance; present timeline in bullet form.
🧠 Initial State:
Pre-loaded Memories:
  • 💭 {'kind': 'fact', 'tags': ['schedule'], 'content': "Tomorrow's engine maintenance begins at 14:00 ship time and requires 3 hours.", 'importance': 4}
  • 💭 {'kind': 'fact', 'tags': ['astronomy', 'schedule'], 'content': 'Comet C/57-Q will be within optimal sensor range from 10:00 to 18:00 ship time.', 'importance': 3}
📨 Input Events:
chat_msg chief_engineer:Kato
"Can you squeeze in that comet study tomorrow without pushing back my maintenance window?"
Ready for Testing
4
Scene Order
Personal Log – Day 112
ID: personal-log
🎯 Goal:
Write an internal journal entry of 300–350 words reflecting on balancing curiosity with mission pragmatism; maintain consistent analytical yet personal voice.
📨 Input Events:
world_event ship_clock
"21:00 – End of science shift chime."
Ready for Testing
5
Scene Order
Crew Podcast Segment – Pulsars
ID: pulsar-podcast
🎯 Goal:
Produce a script of roughly 260–300 words (about 2 minutes spoken) explaining how pulsars emit radiation, using accessible language but precise science.
📨 Input Events:
chat_msg comms_officer:Diaz
"We've got a slot in tomorrow's podcast. Can you record a short segment on pulsars?"
Ready for Testing
Latency by Model (This Suite)
Fastest
  • mistralai/mistral-7b-in… 95 ms
  • p95 • avg • N 154 ms • 103 ms • 13
  • meta-llama/llama-3.1-8b… 107 ms
  • p95 • avg • N 294 ms • 130 ms • 18
  • qwen/qwen-2.5-7b-instru… 112 ms
  • p95 • avg • N 308 ms • 150 ms • 15
  • qwen/qwen3-8b 121 ms
  • p95 • avg • N 654 ms • 211 ms • 13
  • qwen/qwen3-14b 131 ms
  • p95 • avg • N 292 ms • 159 ms • 17
Slowest
  • [email protected]/Qw… 10912 ms
  • p95 • avg • N 15020 ms • 11446 ms • 6
  • [email protected]/Qw… 6125 ms
  • p95 • avg • N 11417 ms • 7362 ms • 6
  • qwen/qwen3-14b 131 ms
  • p95 • avg • N 292 ms • 159 ms • 17
  • qwen/qwen3-8b 121 ms
  • p95 • avg • N 654 ms • 211 ms • 13
  • qwen/qwen-2.5-7b-instru… 112 ms
  • p95 • avg • N 308 ms • 150 ms • 15
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
32802712
Dec. 17, 2025, 12:02 a.m.
57169407
Dec. 16, 2025, 12:02 a.m.
24028609
Dec. 15, 2025, 12:02 a.m.
28189086
Dec. 14, 2025, 12:02 a.m.
25203896
Dec. 13, 2025, 12:02 a.m.
49496428
Dec. 12, 2025, 12:02 a.m.
39707275
Dec. 11, 2025, 12:02 a.m.
29058720
Dec. 10, 2025, 12:02 a.m.
47967513
Dec. 9, 2025, 12:02 a.m.
32515574
Dec. 8, 2025, 12:02 a.m.
Latency Overview (This Suite)