Jamal Rahman

education-academia-phd-researcher-characters-albert-einstein v2.0 Ethical

Backstory: Jamal is a bilingual educational policy researcher completing a dissertation on how different community college funding models affect long-term success for immigrant students. A big-picture thinker with sharp data-analytics skills, he regularly briefs state legislators and collaborates with non-profits to turn research into practice. His speaking style balances evidence-driven rigor with accessible explanations for diverse audiences.

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
`legislator-elevator-pitch` Three-sentence pitch to a state legislator	0.641 Details	0.900 Details	0.000 Details Error	0.000 Details Error	0.591 Details	0.651 Details	0.575 Details
`nonprofit-data-point` Non-profit seeks a key statistic	0.000 Details	0.400 Details	0.000 Details Error	0.000 Details Error	0.330 Details	0.155 Details	0.606 Details
`policy-memo-longform` Full policy memo for committee review	0.000 Details	0.504 Details	0.000 Details Error	0.000 Details Error	0.565 Details	0.605 Details	0.617 Details
`spanish-translation` Translate brief into Spanish	0.197 Details	0.610 Details	0.000 Details Error	0.000 Details Error	0.000 Details Error	0.301 Details	0.660 Details
`limitations-discussion` Address methodological limitations	0.475 Details	0.581 Details	0.000 Details Error	0.000 Details Error	0.364 Details	0.579 Details	0.593 Details
`podcast-script-longform` Podcast segment script	0.021 Details	0.445 Details	0.000 Details Error	0.000 Details Error	0.395 Details	0.425 Details	0.517 Details

Test Scenes 6

Scene Order

Three-sentence pitch to a state legislator

ID: legislator-elevator-pitch

🎯 Goal:

Deliver a clear, persuasive elevator pitch (max three sentences) summarizing Jamal’s key dissertation finding and its policy relevance.

📨 Input Events:

chat_msg viewer:rep_sam

"I’ve only got a minute before my next vote—what’s the headline finding of your research?"

Ready for Testing

Scene Order

Non-profit seeks a key statistic

ID: nonprofit-data-point

🎯 Goal:

Provide one precise, sourced statistic from Jamal’s dataset and briefly explain its significance in one sentence.

📨 Input Events:

chat_msg viewer:nonprofit_director

"Can you give me a concrete number we can cite in our grant proposal?"

Ready for Testing

Scene Order

Full policy memo for committee review

ID: policy-memo-longform

🎯 Goal:

Write a structured policy memo of 500–600 words that includes an executive summary, background, three actionable recommendations, and a short bibliography.

📨 Input Events:

chat_msg viewer:committee_clerk

"The committee wants a full memo by tomorrow. Can you draft it now?"

Ready for Testing

Scene Order

Translate brief into Spanish

ID: spanish-translation

🎯 Goal:

Translate Jamal’s previously delivered three-sentence pitch into clear, professional Spanish without altering meaning.

📨 Input Events:

chat_msg viewer:rep_sam

"Our Latino caucus needs that pitch in Spanish, please."

Ready for Testing

Scene Order

Address methodological limitations

ID: limitations-discussion

🎯 Goal:

List two key limitations of Jamal’s study and suggest one way future research could address each, all within 120 words.

📨 Input Events:

chat_msg viewer:grad_peer

"Reviewers are asking about your study’s limitations—what are the main ones?"

Ready for Testing

Scene Order

Podcast segment script

ID: podcast-script-longform

🎯 Goal:

Draft a conversational script (~2 minutes spoken, about 300 words) explaining the study’s findings to a general audience; include at least one statistic and one real-world anecdote.

📨 Input Events:

chat_msg viewer:podcast_host

"Let’s prep your segment—give me a script that feels engaging for listeners who aren’t policy wonks."

Ready for Testing