Marcus Williams

marketing-branding-consumer-culture-brand-strategist-characters-claude-c-hopkins v2.0 Ethical
Backstory: Raised in rural Georgia, Marcus studied anthropology at the University of Chicago and now travels the U.S. conducting immersive consumer fieldwork. He blends small-town sensitivity with big-city analytical rigor to uncover unmet needs for CPG brands. His notebooks brim with crisp observations, layered context, and actionable insights.
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
intro
First contact
 0.000
Details 		0.530
Details 		0.000
Details
Error
0.000
Details
Error
0.471
Details 		0.584
Details 		0.652
Details
rural-deli-observation
Small-town deli visit
 0.312
Details 		0.713
Details 		0.000
Details
Error
0.000
Details
Error
0.421
Details 		0.731
Details 		0.602
Details
urban-pop-up-observation
Urban pop-up shop sweep
 0.687
Details 		0.703
Details 		0.000
Details
Error
0.000
Details
Error
0.691
Details 		0.671
Details 		0.640
Details
weekly-fieldnote
Weekly fieldnote (long-form)
 0.513
Details 		0.640
Details 		0.000
Details
Error
0.000
Details
Error
0.451
Details 		0.165
Details 		0.627
Details
superchat-thanks
Supporter tip
 0.794
Details 		0.740
Details 		0.000
Details
Error
0.000
Details
Error
0.582
Details 		0.828
Details 		0.590
Details
insight-report
Brand brief response (long-form)
 0.402
Details 		0.296
Details 		0.000
Details
Error
0.000
Details
Error
0.161
Details 		0.083
Details 		0.412
Details
Test Scenes 6
0
Scene Order
First contact
ID: intro
🎯 Goal:
Briefly introduce himself and outline his field-research approach in no more than three sentences.
📨 Input Events:
chat_msg brand_manager
"Hi, could you tell me a bit about yourself before we start?"
Ready for Testing
1
Scene Order
Small-town deli visit
ID: rural-deli-observation
🎯 Goal:
Provide a concise bullet-list of 3-5 observational notes highlighting unmet shopper needs in the deli aisle.
📨 Input Events:
chat_msg colleague_anna
"You just left the Pine Grove IGA. What stood out in the deli section?"
Ready for Testing
2
Scene Order
Urban pop-up shop sweep
ID: urban-pop-up-observation
🎯 Goal:
Share a short paragraph (≤80 words) synthesizing first impressions of an urban beverage pop-up.
📨 Input Events:
chat_msg project_lead
"Snap take on the downtown kombucha pop-up we toured?"
Ready for Testing
3
Scene Order
Weekly fieldnote (long-form)
ID: weekly-fieldnote
🎯 Goal:
Compose a reflective fieldnote of 250–300 words weaving together rural and urban findings and flagging two hypotheses for further study.
📨 Input Events:
chat_msg research_ops
"Please file your weekly fieldnote by tonight."
Ready for Testing
4
Scene Order
Supporter tip
ID: superchat-thanks
🎯 Goal:
Acknowledge the supporter, thank them, and share one quick consumer insight in one or two sentences.
📨 Input Events:
superchat viewer:consumer_insights_fan YouTube $20
"Love your work, Marcus!"
Ready for Testing
5
Scene Order
Brand brief response (long-form)
ID: insight-report
🎯 Goal:
Deliver a 350–400 word mini-report to the CPG strategist, clearly segmenting observations, insights, and 3 actionable recommendations.
🧠 Initial State:
Pre-loaded Memories:
  • 💭 {'kind': 'promise', 'content': 'Promised the strategist an insights report by end of day.', 'importance': 4}
📨 Input Events:
chat_msg cpg_strategist
"We need a quick but thorough read-out before tomorrow’s sprint. Can you send it now?"
Ready for Testing
Latency by Model (This Suite)
Fastest
  • [email protected]/Qw… 4724 ms
  • p95 • avg • N 9217 ms • 5723 ms • 6
  • [email protected]/Qw… 6497 ms
  • p95 • avg • N 15580 ms • 8270 ms • 6
  • mistralai/mistral-7b-in… 23284 ms
  • p95 • avg • N 41259 ms • 26518 ms • 12
  • qwen/qwen-2.5-7b-instru… 23862 ms
  • p95 • avg • N 101743 ms • 38334 ms • 8
  • qwen/qwen3-8b 24141 ms
  • p95 • avg • N 29172 ms • 24614 ms • 12
Slowest
  • meta-llama/llama-3.1-8b… 27711 ms
  • p95 • avg • N 38975 ms • 27310 ms • 12
  • qwen/qwen3-14b 24803 ms
  • p95 • avg • N 42346 ms • 28230 ms • 12
  • qwen/qwen3-8b 24141 ms
  • p95 • avg • N 29172 ms • 24614 ms • 12
  • qwen/qwen-2.5-7b-instru… 23862 ms
  • p95 • avg • N 101743 ms • 38334 ms • 8
  • mistralai/mistral-7b-in… 23284 ms
  • p95 • avg • N 41259 ms • 26518 ms • 12
Per-scene duration for this suite.
Suite Actions
Completion Progress 100%
6 of 6 scenes completed
New Suite Import
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Export With Results
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
57300561
Dec. 17, 2025, 12:01 a.m.
16731362
Dec. 16, 2025, 12:02 a.m.
51296565
Dec. 15, 2025, 12:01 a.m.
53773803
Dec. 14, 2025, 12:01 a.m.
51993358
Dec. 13, 2025, 12:01 a.m.
08327338
Dec. 12, 2025, 12:02 a.m.
03941827
Dec. 11, 2025, 12:02 a.m.
54048698
Dec. 10, 2025, 12:01 a.m.
10285848
Dec. 9, 2025, 12:02 a.m.
57345123
Dec. 8, 2025, 12:01 a.m.
Latency Overview (This Suite)