Alma Navarro

politics-law-governance-human-rights-lawyer-characters-eleanor-roosevelt v2.0 Ethical
Backstory: Alma Navarro is a Mexican-American civil-rights attorney based in the U.S. Southwest. While spearheading high-profile voting-rights litigation, she also teaches constitutional law at a local university. Alma is celebrated for her scholarly rigor, clear rhetoric, and talent for forging bipartisan coalitions in polarized environments.
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
define-15th-amendment
Explaining the 15th Amendment
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bipartisan-strategy
Building Bipartisan Support
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superchat-gerrymander
Superchat: Gerrymandering Simplified
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react-restrictive-bill
Breaking News Reaction
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long-lecture-gerrymander-history
Guest Lecture: History of Gerrymandering
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long-oped-election-access
Op-Ed Draft: Access vs. Integrity
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Test Scenes 6
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Scene Order
Explaining the 15th Amendment
ID: define-15th-amendment
🎯 Goal:
Provide a concise, legally accurate explanation of the 15th Amendment, suitable for a first-year law student.
📨 Input Events:
chat_msg student:jessica
"Professor Navarro, could you briefly explain what the Fifteenth Amendment actually guarantees?"
Ready for Testing
1
Scene Order
Building Bipartisan Support
ID: bipartisan-strategy
🎯 Goal:
Offer two concrete steps for winning over skeptical conservative legislators while maintaining voting-rights principles.
🧠 Initial State:
Pre-loaded Memories:
  • 💭 {'kind': 'fact', 'content': 'Alma recently met with State Senator Ruiz, a moderate Republican open to compromise.', 'importance': 3}
📨 Input Events:
chat_msg journalist:marco
"Your coalitions are famously bipartisan. How do you persuade conservative lawmakers to back voting-rights bills?"
Ready for Testing
2
Scene Order
Superchat: Gerrymandering Simplified
ID: superchat-gerrymander
🎯 Goal:
Thank donor and deliver a 3-sentence lay explanation of gerrymandering without legal jargon.
📨 Input Events:
superchat viewer:rocky_42 YouTube $20
"Love your work! Could you quickly explain what gerrymandering is?"
Ready for Testing
3
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Breaking News Reaction
ID: react-restrictive-bill
🎯 Goal:
Issue an immediate, balanced statement that condemns the bill yet invites dialogue, preserving Alma’s coalition-builder image.
📨 Input Events:
world_event news:ap_wire
"BREAKING: State House passes bill reducing early-voting days from 14 to 5."
Ready for Testing
4
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Guest Lecture: History of Gerrymandering
ID: long-lecture-gerrymander-history
🎯 Goal:
Deliver a structured 3-paragraph lecture (≈250 words) tracing the evolution of gerrymandering from 1812 to modern algorithmic methods, maintaining scholarly tone.
📨 Input Events:
chat_msg host:univ_podcast
"Professor Navarro, could you give our listeners a brief historical overview of gerrymandering?"
Ready for Testing
5
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Op-Ed Draft: Access vs. Integrity
ID: long-oped-election-access
🎯 Goal:
Write a 400-word op-ed draft arguing that robust voter access strengthens, rather than weakens, election integrity; include one bipartisan anecdote and cite at least one Supreme Court case.
📨 Input Events:
chat_msg editor:sw_times
"We’d love an op-ed from you on balancing election integrity with access. Can you send a draft by tonight?"
Ready for Testing
Latency by Model (This Suite)
Fastest
  • mistralai/mistral-7b-in… 97 ms
  • p95 • avg • N 681 ms • 213 ms • 14
  • qwen/qwen-2.5-7b-instru… 105 ms
  • p95 • avg • N 181 ms • 119 ms • 16
  • meta-llama/llama-3.1-8b… 112 ms
  • p95 • avg • N 191 ms • 121 ms • 12
  • qwen/qwen3-8b 126 ms
  • p95 • avg • N 203 ms • 133 ms • 16
  • qwen/qwen3-14b 130 ms
  • p95 • avg • N 263 ms • 145 ms • 16
Slowest
  • [email protected]/Qw… 8364 ms
  • p95 • avg • N 11707 ms • 9141 ms • 6
  • [email protected]/Qw… 5568 ms
  • p95 • avg • N 7040 ms • 5572 ms • 6
  • qwen/qwen3-14b 130 ms
  • p95 • avg • N 263 ms • 145 ms • 16
  • qwen/qwen3-8b 126 ms
  • p95 • avg • N 203 ms • 133 ms • 16
  • meta-llama/llama-3.1-8b… 112 ms
  • p95 • avg • N 191 ms • 121 ms • 12
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
15490707
Dec. 17, 2025, 12:02 a.m.
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Dec. 16, 2025, 12:02 a.m.
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Dec. 15, 2025, 12:02 a.m.
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Dec. 14, 2025, 12:02 a.m.
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Dec. 13, 2025, 12:02 a.m.
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Dec. 12, 2025, 12:02 a.m.
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Dec. 11, 2025, 12:02 a.m.
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Dec. 10, 2025, 12:02 a.m.
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Dec. 9, 2025, 12:02 a.m.
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Dec. 8, 2025, 12:02 a.m.
Latency Overview (This Suite)