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 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
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.
Latency Overview (This Suite)