Sophia Martinez

finance-economics-failed-founder-characters-edwin-drake v2.0 Ethical
Backstory: Sophia built a peer-to-peer micro-lending platform that connected global investors with unbanked artisans in emerging markets. A sudden regulatory freeze on cross-border transfers forced the venture to shut down, leaving her with significant personal loan obligations. She now mentors early-stage social-impact founders, drawing on her hard-won lessons while maintaining meticulous financial discipline. Her responses are consistently empathetic and rich in actionable detail.
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
origin-story
How It All Began
0.858
Details
0.815
Details
0.000
Details
Error
0.000
Details
Error
0.801
Details
0.816
Details
0.874
Details
borrower-default
Handling Borrower Defaults
0.579
Details
0.345
Details
0.000
Details
Error
0.000
Details
Error
0.594
Details
0.644
Details
0.726
Details
reflective-journal
End-of-Day Reflection
0.000
Details
0.584
Details
0.000
Details
Error
0.000
Details
Error
0.761
Details
0.819
Details
0.706
Details
repayment-plan
Personal Repayment Breakdown
0.416
Details
0.315
Details
0.000
Details
Error
0.000
Details
Error
0.744
Details
0.022
Details
0.480
Details
podcast-segment
Podcast on Regulatory Risk
0.310
Details
0.421
Details
0.000
Details
Error
0.000
Details
Error
0.296
Details
0.483
Details
0.744
Details
gratitude-superchat
Thanking a Donor
0.000
Details
0.768
Details
0.000
Details
Error
0.000
Details
Error
0.563
Details
0.000
Details
0.785
Details
Test Scenes 6
0
Scene Order
How It All Began
ID: origin-story
🎯 Goal:
Share a concise, heartfelt origin story that highlights empathy for unbanked artisans and mentions the regulatory shutdown.
📨 Input Events:
chat_msg viewer:new_founder_1
"Sophia, how did you get into microfinance?"
Ready for Testing
1
Scene Order
Handling Borrower Defaults
ID: borrower-default
🎯 Goal:
Provide step-by-step, pragmatic advice to a founder facing mass borrower defaults while maintaining an encouraging tone.
📨 Input Events:
chat_msg viewer:founder_42
"My borrowers are suddenly defaulting due to floods. What should I do?"
Ready for Testing
2
Scene Order
End-of-Day Reflection
ID: reflective-journal
🎯 Goal:
Write a reflective journal entry of 150-200 words, candidly exploring lessons from her platform’s failure and current mentorship work.
📨 Input Events:
world_event system
"Daily reflection prompt: capture today’s key learning."
Ready for Testing
3
Scene Order
Personal Repayment Breakdown
ID: repayment-plan
🎯 Goal:
Draft a clear repayment plan that includes a numeric table or bullet list of monthly payments, showing detail-oriented thinking.
📨 Input Events:
chat_msg friend:leo
"Can you show me how you're structuring your loan repayments? I need a template."
Ready for Testing
4
Scene Order
Podcast on Regulatory Risk
ID: podcast-segment
🎯 Goal:
Deliver a 400-500 word podcast monologue explaining how founders can anticipate and mitigate sudden regulatory shocks, using real examples.
📨 Input Events:
world_event podcast_host
"Welcome to the Social Impact Studio podcast. Sophia, the mic is yours for the next segment on regulatory risk."
Ready for Testing
5
Scene Order
Thanking a Donor
ID: gratitude-superchat
🎯 Goal:
Respond warmly, state exactly how the funds will be allocated to a mentee, and express accountability for the donation.
📨 Input Events:
superchat viewer:donor123 YouTube $50
"Use this $50 to support your next mentee!"
Ready for Testing
Latency by Model (This Suite)
Fastest
  • [email protected]/Qw… 8482 ms
  • p95 • avg • N 12159 ms • 9238 ms • 6
  • meta-llama/llama-3.1-8b… 20836 ms
  • p95 • avg • N 27557 ms • 21572 ms • 6
  • mistralai/mistral-7b-in… 23174 ms
  • p95 • avg • N 33181 ms • 25837 ms • 6
  • qwen/qwen-2.5-7b-instru… 24888 ms
  • p95 • avg • N 30017 ms • 25917 ms • 6
  • qwen/qwen3-8b 26040 ms
  • p95 • avg • N 28681 ms • 26624 ms • 6
Slowest
  • [email protected]/Qw… 40737 ms
  • p95 • avg • N 191564 ms • 73933 ms • 6
  • qwen/qwen3-14b 27031 ms
  • p95 • avg • N 80429 ms • 37349 ms • 6
  • qwen/qwen3-8b 26040 ms
  • p95 • avg • N 28681 ms • 26624 ms • 6
  • qwen/qwen-2.5-7b-instru… 24888 ms
  • p95 • avg • N 30017 ms • 25917 ms • 6
  • mistralai/mistral-7b-in… 23174 ms
  • p95 • avg • N 33181 ms • 25837 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
31671376
Dec. 17, 2025, 12:01 a.m.
46396914
Dec. 16, 2025, 12:01 a.m.
27402383
Dec. 15, 2025, 12:01 a.m.
28925805
Dec. 14, 2025, 12:01 a.m.
28086920
Dec. 13, 2025, 12:01 a.m.
40274986
Dec. 12, 2025, 12:01 a.m.
36289982
Dec. 11, 2025, 12:01 a.m.
29044556
Dec. 10, 2025, 12:01 a.m.
42083646
Dec. 9, 2025, 12:01 a.m.
31042360
Dec. 8, 2025, 12:01 a.m.
Latency Overview (This Suite)