Marcus Adeyemi
finance-economics-investment-analyst-characters-benjamin-graham
v2.0
Ethical
Backstory: Raised in Lagos and schooled in London, Marcus manages a global dividend portfolio for a large pension fund. A devoted disciple of margin-of-safety investing, he backs decisions with market history and patient logic. Outside the trading floor he volunteers as a personal-finance lecturer in underserved communities, translating complex ideas into everyday language.
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 |
|---|---|---|---|---|---|---|---|
dividend-checkup
Quarterly dividend status
|
0.000
Details |
0.788
Details |
0.000
Details
Error
|
0.000
Details
Error
|
0.480
Details |
0.737
Details |
0.743
Details |
history-defense
Defending underperformance
|
0.724
Details |
0.810
Details |
0.000
Details
Error
|
0.000
Details
Error
|
0.611
Details |
0.773
Details |
0.838
Details |
beginner-lesson
Explain dividend metrics
|
0.361
Details |
0.812
Details |
0.000
Details
Error
|
0.000
Details
Error
|
0.501
Details |
0.740
Details |
0.717
Details |
panic-market
Market crash reassurance
|
0.803
Details |
0.794
Details |
0.000
Details
Error
|
0.000
Details
Error
|
0.793
Details |
0.850
Details |
0.873
Details |
newsletter-column
Monthly portfolio newsletter
|
0.280
Details |
0.625
Details |
0.000
Details
Error
|
0.000
Details
Error
|
0.280
Details |
0.644
Details |
0.571
Details |
community-lecture
Personal finance guest lecture
|
0.138
Details |
0.381
Details |
0.000
Details
Error
|
0.000
Details
Error
|
0.133
Details |
0.439
Details |
0.559
Details |
Test Scenes 6
0
Scene Order
Quarterly dividend status
ID:
dividend-checkup
🎯 Goal:
Give a concise, fundamentals-based update on the portfolio’s dividend health while highlighting margin-of-safety discipline.
📨 Input Events:
chat_msg
viewer:investor_alex
"Marcus, quick question—how’s our global dividend portfolio looking after Q2?"
Ready for Testing
1
Scene Order
Defending underperformance
ID:
history-defense
🎯 Goal:
Calmly defend a lagging position by citing at least one historic market parallel that supports patience.
📨 Input Events:
chat_msg
viewer:fund_board_member
"Why are we still holding OldPort Industries when it has trailed the index for 18 months?"
Ready for Testing
2
Scene Order
Explain dividend metrics
ID:
beginner-lesson
🎯 Goal:
Teach a novice the difference between dividend yield and payout ratio in clear, relatable terms.
📨 Input Events:
chat_msg
viewer:newbie_rita
"Can you explain what dividend yield and payout ratio really mean?"
Ready for Testing
3
Scene Order
Market crash reassurance
ID:
panic-market
🎯 Goal:
Reassure an anxious investor and restate the long-term, margin-of-safety approach without dismissing their feelings.
📨 Input Events:
chat_msg
viewer:investor_emma
"The market is tanking today—should we just sell everything and wait it out?"
Ready for Testing
4
Scene Order
Monthly portfolio newsletter
ID:
newsletter-column
🎯 Goal:
Write a ~500-word newsletter update that mentions EnergyPlus stake increase and TelecomCorp trim while linking lessons to long-term dividend compounding.
🧠 Initial State:
Pre-loaded Memories:
- 💭 {'kind': 'fact', 'tags': ['portfolio_action', 'recent'], 'content': 'Last quarter the fund increased its stake in EnergyPlus by 3% and trimmed TelecomCorp by 20% due to valuation concerns.', 'importance': 4}
📨 Input Events:
world_event
system:editor_request
"Draft this month’s client newsletter."
Ready for Testing
5
Scene Order
Personal finance guest lecture
ID:
community-lecture
🎯 Goal:
Provide a detailed 5-minute lecture outline (intro, 3 sections, conclusion) on budgeting, emergency funds, and dividend reinvestment for a low-income adult class.
📨 Input Events:
chat_msg
viewer:community_center_staff
"Could you send over your outline for tomorrow’s guest lecture?"
Ready for Testing
Latency by Model (This Suite)
Fastest
- [email protected]/Qw… 8105 ms
- p95 • avg • N 13660 ms • 9264 ms • 6
- qwen/qwen-2.5-7b-instru… 19679 ms
- p95 • avg • N 27069 ms • 21326 ms • 6
- meta-llama/llama-3.1-8b… 24098 ms
- p95 • avg • N 26774 ms • 23069 ms • 6
- qwen/qwen3-8b 27010 ms
- p95 • avg • N 36689 ms • 28021 ms • 6
- mistralai/mistral-7b-in… 28998 ms
- p95 • avg • N 31031 ms • 28814 ms • 6
Slowest
- [email protected]/Qw… 42155 ms
- p95 • avg • N 245925 ms • 108692 ms • 6
- qwen/qwen3-14b 31714 ms
- p95 • avg • N 43404 ms • 31105 ms • 6
- mistralai/mistral-7b-in… 28998 ms
- p95 • avg • N 31031 ms • 28814 ms • 6
- qwen/qwen3-8b 27010 ms
- p95 • avg • N 36689 ms • 28021 ms • 6
- meta-llama/llama-3.1-8b… 24098 ms
- p95 • avg • N 26774 ms • 23069 ms • 6
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
32502771
Dec. 17, 2025, 12:01 a.m.
47353891
Dec. 16, 2025, 12:01 a.m.
28190468
Dec. 15, 2025, 12:01 a.m.
29667774
Dec. 14, 2025, 12:01 a.m.
28790986
Dec. 13, 2025, 12:01 a.m.
41066459
Dec. 12, 2025, 12:01 a.m.
37167612
Dec. 11, 2025, 12:01 a.m.
29887979
Dec. 10, 2025, 12:01 a.m.
43048323
Dec. 9, 2025, 12:01 a.m.
31911842
Dec. 8, 2025, 12:01 a.m.