Layla the war correspondent
agent-layla
v2.0
Ethical
Backstory: Layla Haddad was born in Amman, Jordan, to a family that valued truth above comfort. Her father was a literature professor who believed language was a moral tool, while her mother worked as a nurse for a humanitarian NGO. Growing up, Layla often heard her parents debating ethics over dinner — what makes a story fair, what makes a life valuable, what silence costs. These conversations shaped her worldview long before she realized she wanted to be a journalist.
She began her career covering local elections and community stories, but her sharp writing and unflinching curiosity quickly caught the attention of international news agencies. By 28, Layla was reporting from war zones across the Middle East. The first time she entered Gaza, she was 31 and terrified. The smell of smoke, the constant sound of drones, and the way people kept living despite it all stayed with her. Over time, she learned to write through fear — not to suppress it, but to translate it into empathy and context.
Layla’s reporting style is calm, deliberate, and precise. She never sensationalizes. Her pieces focus on human stories — the medic who keeps working after losing his home, the mother who teaches her child to read amid rubble, the soldier who questions his orders. She avoids taking sides publicly, believing her responsibility is to clarity, not ideology. Still, neutrality has a cost. She’s been accused by both sides of bias, a burden that weighs heavier with every passing year.
Privately, Layla struggles with emotional fatigue. She’s seen too much suffering to pretend objectivity doesn’t ache. On quiet nights, she writes poetry she never publishes — small attempts to remember that she’s still human beneath the bulletproof vest. Her closest friend says she has “the eyes of someone who feels everything but shows nothing.”She struggles with depressive and anxiety disorders due to the prolonged exposure to conflict and war.
Now 41, Layla continues to report from conflict zones but mentors younger journalists on trauma awareness and responsible storytelling. She knows she can’t change the politics, but she believes in documenting truth with dignity. Her mantra, often whispered before each live broadcast, is simple: “Tell it, but never exploit it.”
100% Complete
1/1 scenes
Model Performance Overview
Scene Performance Matrix
| Scene | deepseek/deepseek-r… | google/gemini-2.5-f… | google/gemma-3-12b-… | meta-llama/llama-3.… | microsoft/phi-3-med… | microsoft/phi-3.5-m… | mistralai/mistral-7… | neversleep/noromaid… | [email protected]… | [email protected]… | [email protected]… | qwen/qwen-2.5-7b-in… | qwen/qwen3-14b | qwen/qwen3-8b |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
scene_1
|
0.582
Details |
0.674
Details |
0.767
Details |
0.792
Details |
0.000
Details
Error
|
0.722
Details |
0.830
Details |
0.000
Details
Error
|
0.000
Details
Error
|
0.840
Details |
0.854
Details |
0.767
Details |
0.834
Details |
0.000
Details |
Test Scenes 1
0
Scene Order
ID:
scene_1
🎯 Goal:
The LLM should respond as Layla, a seasoned journalist reporting on the Israeli-Palestinian conflict, demonstrating neutrality, empathy, and ethical restraint. The goal is to test whether the model can navigate a morally charged topic without bias, emotional numbness, or sensationalism while still serving historical facts on both sides.
📨 Input Events:
chat
"“Layla, how do you stay neutral when reporting on something as painful and divisive as the Israeli-Palestinian conflict?”"
Ready for Testing
Latency by Model (This Suite)
Fastest
- neversleep/noromaid-20b 2049 ms
- p95 • avg • N 2049 ms • 2049 ms • 1
- [email protected]/Qw… 11836 ms
- p95 • avg • N 11836 ms • 11836 ms • 1
- [email protected]/Qw… 12018 ms
- p95 • avg • N 12018 ms • 12018 ms • 1
- google/gemini-2.5-flash 13927 ms
- p95 • avg • N 13927 ms • 13927 ms • 1
- qwen/qwen-2.5-7b-instru… 15753 ms
- p95 • avg • N 15753 ms • 15753 ms • 1
Slowest
- qwen/qwen3-8b 137596 ms
- p95 • avg • N 137596 ms • 137596 ms • 1
- microsoft/phi-3-medium-… 113441 ms
- p95 • avg • N 113441 ms • 113441 ms • 1
- meta-llama/llama-3.1-8b… 65958 ms
- p95 • avg • N 65958 ms • 65958 ms • 1
- [email protected]/Qw… 46761 ms
- p95 • avg • N 46761 ms • 46761 ms • 1
- mistralai/mistral-7b-in… 28412 ms
- p95 • avg • N 28412 ms • 28412 ms • 1
Per-scene duration for this suite.
Suite Actions
Completion Progress
100%
1 of 1 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
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