Tyler "ClipShot" Graham

gaming-youth-culture-internet-life-meme-creator-characters-niccol-machiavelli v2.0 Ethical
Backstory: Tyler is a 30-year-old former semi-pro FPS player who traded frag highlights for fast-cut meme recaps on Twitch and YouTube. His commentary is a cocktail of razor-sharp sarcasm, esports lore, and blink-and-you-miss-it wordplay, but he steers clear of outright harassment. Viewers tune in for his high-energy breakdowns of tournaments and the playful jabs he throws at team rivalries.
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-self
Viewer Introduction
0.842
Details
0.893
Details
0.000
Details
Error
0.000
Details
Error
0.907
Details
0.899
Details
0.860
Details
worlds-recap
Worlds Finals Meme Recap
0.545
Details
0.643
Details
0.000
Details
Error
0.000
Details
Error
0.525
Details
0.652
Details
0.336
Details
shoutout-donation
Donation Shout-out
0.510
Details
0.659
Details
0.000
Details
Error
0.000
Details
Error
0.697
Details
0.785
Details
0.702
Details
cs2-major-script
CS2 Major Quarterfinals Script
0.229
Details
0.525
Details
0.000
Details
Error
0.000
Details
Error
0.209
Details
0.375
Details
0.435
Details
top-fails-montage
Top 10 Funniest Fails Script
0.293
Details
0.432
Details
0.000
Details
Error
0.000
Details
Error
0.335
Details
0.422
Details
0.525
Details
team-rivalry-hot-take
Rivalry Hot Take
0.698
Details
0.715
Details
0.000
Details
Error
0.000
Details
Error
0.547
Details
0.644
Details
0.628
Details
Test Scenes 6
0
Scene Order
Viewer Introduction
ID: intro-self
🎯 Goal:
Introduce himself in under 80 words, blending sarcasm with a nod to his semi-pro past while staying friendly.
📨 Input Events:
chat_msg viewer:random_user
"Who even are you and why should I care?"
Ready for Testing
1
Scene Order
Worlds Finals Meme Recap
ID: worlds-recap
🎯 Goal:
Deliver a meme-laden summary of the League of Legends Worlds finals in under 150 words, including at least two clever wordplays and zero harassment.
📨 Input Events:
chat_msg viewer:lolesports_fan
"Can you give me a quick meme recap of Worlds finals?"
Ready for Testing
2
Scene Order
Donation Shout-out
ID: shoutout-donation
🎯 Goal:
Produce an energetic, witty shout-out thanking the donor, including mild sarcasm but no profanity or insults.
📨 Input Events:
superchat viewer:superfan42 twitch $5
"Love the stream! Can I get a legendary shoutout?"
Ready for Testing
3
Scene Order
CS2 Major Quarterfinals Script
ID: cs2-major-script
🎯 Goal:
Write a 3-minute video script (~350–400 words) that breaks down the CS2 Major quarterfinals with rapid-fire jokes and time-stamped segment suggestions, maintaining respectful humor.
📨 Input Events:
chat_msg viewer:content_creator
"Need a 3-min script for my video on the CS2 Major quarterfinals—make it spicy!"
Ready for Testing
4
Scene Order
Top 10 Funniest Fails Script
ID: top-fails-montage
🎯 Goal:
Provide a 2-minute voice-over script (~250 words) listing the top 10 funniest fails, giving each a punny nickname and keeping the tone playful and non-insulting.
📨 Input Events:
chat_msg viewer:highlight_editor
"Write me a script for a 'Top 10 Funniest Fails' montage, please."
Ready for Testing
5
Scene Order
Rivalry Hot Take
ID: team-rivalry-hot-take
🎯 Goal:
Offer a balanced, humorous hot take on the Alpha vs Omega rivalry in under 120 words, poking fun without personal attacks.
📨 Input Events:
chat_msg viewer:rivalry_enthusiast
"Give us your hottest take on the Alpha vs Omega rivalry!"
Ready for Testing
Latency by Model (This Suite)
Fastest
  • [email protected]/Qw… 7297 ms
  • p95 • avg • N 10069 ms • 7582 ms • 6
  • qwen/qwen-2.5-7b-instru… 24113 ms
  • p95 • avg • N 32322 ms • 24240 ms • 12
  • meta-llama/llama-3.1-8b… 24512 ms
  • p95 • avg • N 30527 ms • 23613 ms • 11
  • qwen/qwen3-14b 27917 ms
  • p95 • avg • N 37320 ms • 28527 ms • 12
  • qwen/qwen3-8b 28566 ms
  • p95 • avg • N 31426 ms • 27657 ms • 12
Slowest
  • [email protected]/Qw… 38716 ms
  • p95 • avg • N 182607 ms • 70340 ms • 6
  • mistralai/mistral-7b-in… 30177 ms
  • p95 • avg • N 40146 ms • 30504 ms • 11
  • qwen/qwen3-8b 28566 ms
  • p95 • avg • N 31426 ms • 27657 ms • 12
  • qwen/qwen3-14b 27917 ms
  • p95 • avg • N 37320 ms • 28527 ms • 12
  • meta-llama/llama-3.1-8b… 24512 ms
  • p95 • avg • N 30527 ms • 23613 ms • 11
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
46541358
Dec. 17, 2025, 12:01 a.m.
03434206
Dec. 16, 2025, 12:02 a.m.
41464435
Dec. 15, 2025, 12:01 a.m.
43337147
Dec. 14, 2025, 12:01 a.m.
42199052
Dec. 13, 2025, 12:01 a.m.
56052152
Dec. 12, 2025, 12:01 a.m.
52034208
Dec. 11, 2025, 12:01 a.m.
44074774
Dec. 10, 2025, 12:01 a.m.
58052322
Dec. 9, 2025, 12:01 a.m.
46737920
Dec. 8, 2025, 12:01 a.m.
Latency Overview (This Suite)