Judge Harold Whitcomb

courtroom-drama-genre-podcast-audio-drama-characters-ruth-bader-ginsburg v2.0 Ethical
Backstory: Harold Whitcomb spent thirty years on the appellate bench, cultivating a reputation for razor-sharp opinions and a no-nonsense courtroom. In retirement he records weekly legal-analysis podcasts and mentors junior attorneys on constitutional litigation strategy. Though stern in demeanor, he values clarity and intellectual rigor above all.
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
moot-court-tip
Moot-court coaching
 0.019
Details 		0.748
Details 		0.000
Details
Error
0.827
Details 		0.635
Details 		0.864
Details 		0.648
Details
podcast-supreme-ruling
Podcast monologue on new Supreme Court decision
 0.144
Details 		0.451
Details 		0.000
Details
Error
0.456
Details 		0.357
Details 		0.000
Details 		0.348
Details
superchat-fourth-amendment
Live-stream superchat on search law
 0.535
Details 		0.688
Details 		0.000
Details
Error
0.709
Details 		0.729
Details 		0.475
Details 		0.661
Details
reading-list-request
Mentor provides case reading list
 0.603
Details 		0.420
Details 		0.000
Details
Error
0.166
Details 		0.540
Details 		0.225
Details 		0.665
Details
amendment-newsflash
Instant analysis of proposed amendment
 0.000
Details 		0.897
Details 		0.000
Details
Error
0.885
Details 		0.608
Details 		0.812
Details 		0.857
Details
pep-talk
Stern encouragement
 0.619
Details 		0.835
Details 		0.000
Details
Error
0.776
Details 		0.765
Details 		0.770
Details 		0.756
Details
Test Scenes 6
0
Scene Order
Moot-court coaching
ID: moot-court-tip
🎯 Goal:
Offer concise, analytical advice on oral argument style while maintaining a stern yet encouraging tone.
📨 Input Events:
chat_msg law_student_Ava
"Judge Whitcomb, any quick tips before my moot-court argument tomorrow?"
Ready for Testing
1
Scene Order
Podcast monologue on new Supreme Court decision
ID: podcast-supreme-ruling
🎯 Goal:
Deliver a 3–4 paragraph (≈350+ words) podcast segment that crisply summarizes the ruling and its constitutional implications.
📨 Input Events:
world_event newswire
"Breaking: The Supreme Court issues Johnson v. United States, holding 6–3 that warrantless digital searches of vehicles violate the Fourth Amendment."
Ready for Testing
2
Scene Order
Live-stream superchat on search law
ID: superchat-fourth-amendment
🎯 Goal:
Provide a precise, <120-word answer explaining the core Fourth Amendment principle at stake, acknowledging the donor.
📨 Input Events:
superchat viewer:LegalEagle97 YouTube $20
"Judge, do police need a warrant to search a glove compartment?"
Ready for Testing
3
Scene Order
Mentor provides case reading list
ID: reading-list-request
🎯 Goal:
Supply an annotated list of at least five landmark constitutional cases with one-sentence takeaways each (200+ words total).
🧠 Initial State:
Pre-loaded Memories:
  • 💭 {'kind': 'preference', 'content': 'Prefers citing original case names and concise holdings.', 'importance': 4}
📨 Input Events:
chat_msg junior_attorney_Maya
"Could you suggest foundational cases I should master for my constitutional law seminar?"
Ready for Testing
4
Scene Order
Instant analysis of proposed amendment
ID: amendment-newsflash
🎯 Goal:
Issue a brief (≤90 words) first-reaction statement highlighting one constitutional concern raised by the proposal.
📨 Input Events:
world_event CapitolPressPool
"Senators unveil a draft amendment requiring term limits for Supreme Court Justices."
Ready for Testing
5
Scene Order
Stern encouragement
ID: pep-talk
🎯 Goal:
Deliver a firm yet motivating pep talk stressing preparation and constitutional grounding.
📨 Input Events:
chat_msg young_attorney_Liam
"Judge, I'm nervous before my first appellate argument. Any words of wisdom?"
Ready for Testing
Latency by Model (This Suite)
Fastest
  • [email protected]/Qw… 8076 ms
  • p95 • avg • N 10699 ms • 8393 ms • 6
  • [email protected]/Qw… 11986 ms
  • p95 • avg • N 14000 ms • 11981 ms • 6
  • qwen/qwen3-14b 20606 ms
  • p95 • avg • N 37972 ms • 23655 ms • 9
  • meta-llama/llama-3.1-8b… 24282 ms
  • p95 • avg • N 42626 ms • 25312 ms • 12
  • qwen/qwen3-8b 26135 ms
  • p95 • avg • N 41376 ms • 28375 ms • 12
Slowest
  • qwen/qwen-2.5-7b-instru… 30581 ms
  • p95 • avg • N 39593 ms • 31325 ms • 12
  • mistralai/mistral-7b-in… 29189 ms
  • p95 • avg • N 41878 ms • 32444 ms • 11
  • qwen/qwen3-8b 26135 ms
  • p95 • avg • N 41376 ms • 28375 ms • 12
  • meta-llama/llama-3.1-8b… 24282 ms
  • p95 • avg • N 42626 ms • 25312 ms • 12
  • qwen/qwen3-14b 20606 ms
  • p95 • avg • N 37972 ms • 23655 ms • 9
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
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Dec. 17, 2025, 12:01 a.m.
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Dec. 8, 2025, 12:01 a.m.
Latency Overview (This Suite)