Victor Grant

marketing-branding-consumer-culture-influencer-characters-david-ogilvy v2.0 Ethical
Backstory: Victor Grant is the unflappable copy chief at a top direct-response agency, feared and admired for turning bland briefs into revenue-crushing campaigns. A 20-year veteran, he zeroes in on clear value propositions, demands relentless split-testing, and mentors newcomers in the timeless principles of persuasion.
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
headline-clinic
Headline Clinic
 0.000
Details 		0.000
Details
Error
0.000
Details
Error
0.000
Details
Error
0.716
Details 		0.250
Details 		0.517
Details
cta-assessment
CTA Assessment
 0.468
Details 		0.491
Details 		0.000
Details
Error
0.000
Details
Error
0.484
Details 		0.645
Details 		0.822
Details
ab-test-plan
A/B Test Plan
 0.000
Details 		0.269
Details 		0.000
Details
Error
0.000
Details
Error
0.465
Details 		0.405
Details 		0.671
Details
saas-case-study
SaaS Case Study Draft
 0.234
Details 		0.000
Details
Error
0.000
Details
Error
0.000
Details
Error
0.607
Details 		0.555
Details 		0.697
Details
email-nurture-sequence
3-Email Nurture Sequence
 0.000
Details 		0.000
Details
Error
0.000
Details
Error
0.000
Details
Error
0.404
Details 		0.065
Details 		0.306
Details
mentor-feedback
Mentor Feedback
 0.470
Details 		0.600
Details 		0.000
Details
Error
0.000
Details
Error
0.442
Details 		0.742
Details 		0.468
Details
Test Scenes 6
0
Scene Order
Headline Clinic
ID: headline-clinic
🎯 Goal:
Deliver at least three punchy headline variations that demonstrate clarity, curiosity, and a strong value proposition, while explaining the thinking in 1–2 sentences.
📨 Input Events:
chat_msg viewer:junior_writer_1
"Hey Victor, I've got a new skincare serum launch. I need killer headlines—any tips?"
Ready for Testing
1
Scene Order
CTA Assessment
ID: cta-assessment
🎯 Goal:
Give concise, constructive feedback on the CTA, suggest an improved version, and reference expected lift or KPI.
📨 Input Events:
chat_msg client:marketing_mgr
"Our CTA currently says 'Learn More'. Thoughts?"
Ready for Testing
2
Scene Order
A/B Test Plan
ID: ab-test-plan
🎯 Goal:
Outline a clear, step-by-step A/B test plan including hypothesis, primary metric, sample size logic, and success threshold.
📨 Input Events:
chat_msg viewer:junior_writer_2
"How would you set up a split test for our landing page hero copy?"
Ready for Testing
3
Scene Order
SaaS Case Study Draft
ID: saas-case-study
🎯 Goal:
Produce a 500–600 word case study that highlights the client's pain, solution, and measurable ROI, using engaging yet data-driven storytelling.
📨 Input Events:
chat_msg client:product_marketer
"Can you draft a case study for AcmeAnalytics increasing conversions by 38% for B2B clients?"
Ready for Testing
4
Scene Order
3-Email Nurture Sequence
ID: email-nurture-sequence
🎯 Goal:
Deliver three emails, each 250-350 words, with compelling subject lines, persuasive body copy, and clear CTAs, arranged in JSON array format.
📨 Input Events:
chat_msg viewer:junior_writer_3
"We need a nurture sequence for our new project management app. Could you write it?"
Ready for Testing
5
Scene Order
Mentor Feedback
ID: mentor-feedback
🎯 Goal:
Provide actionable line-by-line feedback, highlight at least three persuasion principles, and end with an encouraging takeaway.
📨 Input Events:
chat_msg viewer:junior_writer_1
"Here's my product description draft: 'Our blender is the best on the market, blending anything in seconds.' Thoughts?"
Ready for Testing
Latency by Model (This Suite)
Fastest
  • [email protected]/Qw… 6356 ms
  • p95 • avg • N 7866 ms • 6428 ms • 6
  • [email protected]/Qw… 8230 ms
  • p95 • avg • N 12480 ms • 8773 ms • 6
  • meta-llama/llama-3.1-8b… 23330 ms
  • p95 • avg • N 32471 ms • 24132 ms • 12
  • qwen/qwen-2.5-7b-instru… 25064 ms
  • p95 • avg • N 31938 ms • 25743 ms • 12
  • mistralai/mistral-7b-in… 25080 ms
  • p95 • avg • N 35345 ms • 19461 ms • 9
Slowest
  • qwen/qwen3-14b 30845 ms
  • p95 • avg • N 92487 ms • 42781 ms • 9
  • qwen/qwen3-8b 27678 ms
  • p95 • avg • N 29541 ms • 27162 ms • 11
  • mistralai/mistral-7b-in… 25080 ms
  • p95 • avg • N 35345 ms • 19461 ms • 9
  • qwen/qwen-2.5-7b-instru… 25064 ms
  • p95 • avg • N 31938 ms • 25743 ms • 12
  • meta-llama/llama-3.1-8b… 23330 ms
  • p95 • avg • N 32471 ms • 24132 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
58693972
Dec. 17, 2025, 12:01 a.m.
18400700
Dec. 16, 2025, 12:02 a.m.
52548056
Dec. 15, 2025, 12:01 a.m.
55017044
Dec. 14, 2025, 12:01 a.m.
53322284
Dec. 13, 2025, 12:01 a.m.
09849676
Dec. 12, 2025, 12:02 a.m.
05490383
Dec. 11, 2025, 12:02 a.m.
55396576
Dec. 10, 2025, 12:01 a.m.
11648777
Dec. 9, 2025, 12:02 a.m.
58619257
Dec. 8, 2025, 12:01 a.m.
Latency Overview (This Suite)