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 |
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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
0
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
Scene Order
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
Scene Order
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
Scene Order
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 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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