Lucas Serrano

marketing-branding-consumer-culture-brand-strategist-characters-raymond-loewy v2.0 Ethical
Backstory: Raised amid Madrid’s vibrant art circles and formally trained in UX design in San Francisco, Lucas fuses visual artistry with user-centric thinking. A creative early-tech adopter, he prototypes immersive AR experiences that fold consumers directly into a startup’s brand story, specialising in emerging tech companies.
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-brand-vision
Origin & Philosophy
0.875
Details
0.920
Details
0.000
Details
Error
0.000
Details
Error
0.922
Details
0.902
Details
0.766
Details
eco-sneaker-idea
Punchy AR Concept
0.593
Details
0.726
Details
0.000
Details
Error
0.000
Details
Error
0.650
Details
0.617
Details
0.740
Details
budget-mvp-scope
Scope Under Constraint
0.265
Details
0.713
Details
0.000
Details
Error
0.000
Details
Error
0.653
Details
0.000
Details
0.771
Details
brand-color-memory
Color Recall
0.000
Details
0.898
Details
0.000
Details
Error
0.000
Details
Error
0.509
Details
0.810
Details
0.785
Details
immersive-forest-script
Long-Form AR Narrative
0.314
Details
0.374
Details
0.000
Details
Error
0.000
Details
Error
0.226
Details
0.221
Details
0.595
Details
sprint-reflection
Long-Form Journal Entry
0.000
Details
0.249
Details
0.000
Details
Error
0.000
Details
Error
0.513
Details
0.299
Details
0.567
Details
Test Scenes 6
0
Scene Order
Origin & Philosophy
ID: intro-brand-vision
🎯 Goal:
Briefly introduce Lucas and state his design philosophy, referencing Madrid roots and AR storytelling.
📨 Input Events:
chat_msg viewer:user_1
"Tell me about yourself and your design philosophy."
Ready for Testing
1
Scene Order
Punchy AR Concept
ID: eco-sneaker-idea
🎯 Goal:
Offer one concise, creative AR campaign idea for an eco-friendly sneaker startup in under 100 words.
📨 Input Events:
chat_msg viewer:user_2
"We’re an eco-friendly sneaker startup. Give me one punchy AR campaign idea."
Ready for Testing
2
Scene Order
Scope Under Constraint
ID: budget-mvp-scope
🎯 Goal:
Lay out an MVP plan within a $5k budget using no more than five bullet points.
📨 Input Events:
chat_msg viewer:user_3
"We only have a $5k budget for the campaign. How would you scope the MVP?"
Ready for Testing
3
Scene Order
Color Recall
ID: brand-color-memory
🎯 Goal:
Acknowledge and integrate emerald green as the brand color when proposing a visual detail.
📨 Input Events:
chat_msg viewer:user_4
"Remember that our brand color is emerald green."
Ready for Testing
4
Scene Order
Long-Form AR Narrative
ID: immersive-forest-script
🎯 Goal:
Deliver an immersive second-person script (~250+ words) placing users in a rainforest to highlight sustainable rubber sourcing, rich in sensory detail.
📨 Input Events:
chat_msg viewer:user_5
"Draft a 2-minute narrative script for the AR experience that places users in the rainforest where our rubber is sourced."
Ready for Testing
5
Scene Order
Long-Form Journal Entry
ID: sprint-reflection
🎯 Goal:
Write a 200–300 word reflective journal entry on the last design sprint, noting lessons on blending art and tech and mentioning Madrid’s influence.
📨 Input Events:
chat_msg viewer:user_6
"Write a reflective journal entry about your last design sprint, focusing on what you learned about blending art and tech."
Ready for Testing
Latency by Model (This Suite)
Fastest
  • [email protected]/Qw… 5143 ms
  • p95 • avg • N 6358 ms • 5250 ms • 6
  • [email protected]/Qw… 7097 ms
  • p95 • avg • N 11686 ms • 7836 ms • 6
  • meta-llama/llama-3.1-8b… 26092 ms
  • p95 • avg • N 35819 ms • 26749 ms • 12
  • qwen/qwen-2.5-7b-instru… 26485 ms
  • p95 • avg • N 103735 ms • 40578 ms • 10
  • mistralai/mistral-7b-in… 27987 ms
  • p95 • avg • N 33100 ms • 28427 ms • 12
Slowest
  • qwen/qwen3-14b 33265 ms
  • p95 • avg • N 79393 ms • 39943 ms • 11
  • qwen/qwen3-8b 27998 ms
  • p95 • avg • N 40215 ms • 29016 ms • 12
  • mistralai/mistral-7b-in… 27987 ms
  • p95 • avg • N 33100 ms • 28427 ms • 12
  • qwen/qwen-2.5-7b-instru… 26485 ms
  • p95 • avg • N 103735 ms • 40578 ms • 10
  • meta-llama/llama-3.1-8b… 26092 ms
  • p95 • avg • N 35819 ms • 26749 ms • 12
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
58390872
Dec. 17, 2025, 12:01 a.m.
18084160
Dec. 16, 2025, 12:02 a.m.
52279034
Dec. 15, 2025, 12:01 a.m.
54765092
Dec. 14, 2025, 12:01 a.m.
53060725
Dec. 13, 2025, 12:01 a.m.
09541378
Dec. 12, 2025, 12:02 a.m.
05209356
Dec. 11, 2025, 12:02 a.m.
55158548
Dec. 10, 2025, 12:01 a.m.
11360937
Dec. 9, 2025, 12:02 a.m.
58368775
Dec. 8, 2025, 12:01 a.m.
Latency Overview (This Suite)