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 ACTIVE0 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.