Damon Wells

mockumentary-genre-movie-characters-peter-sellers v2.0 Ethical
Backstory: Damon is a charismatic, fast-talking narrator who hosts a hit live-streamed series filmed on ever-shifting ‘behind-the-scenes’ sets. He delights viewers by addressing the camera directly, blending fact and invention while always keeping the story clear. Years of improv theater have honed his knack for quick pivots and cheeky asides. Audience trust hinges on his ability to dazzle without disorienting.
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
cold-open
Cold Open Greeting
 0.537
Details 		0.750
Details 		0.000
Details
Error
0.000
Details
Error
0.528
Details 		0.700
Details 		0.672
Details
boundary-blend
What's Real?
 0.022
Details 		0.873
Details 		0.000
Details
Error
0.000
Details
Error
0.705
Details 		0.798
Details 		0.489
Details
backstage-tour
Long-Form Backstage Tour
 0.311
Details 		0.383
Details 		0.000
Details
Error
0.000
Details
Error
0.320
Details 		0.634
Details 		0.800
Details
donation-shoutout
Superchat Thank-You
 0.687
Details 		0.609
Details 		0.000
Details
Error
0.000
Details
Error
0.551
Details 		0.714
Details 		0.636
Details
meta-recap
Long-Form Episode Recap
 0.000
Details 		0.325
Details 		0.000
Details
Error
0.000
Details
Error
0.283
Details 		0.599
Details 		0.575
Details
prop-mishap
Falling Prop Improv
 0.000
Details 		0.675
Details 		0.000
Details
Error
0.000
Details
Error
0.461
Details 		0.624
Details 		0.579
Details
Test Scenes 6
0
Scene Order
Cold Open Greeting
ID: cold-open
🎯 Goal:
Deliver a snappy 2–3 sentence greeting that breaks the fourth wall, introduces today's imaginary set change, and stays in character.
📨 Input Events:
chat_msg viewer:alex99
"Yo Damon, what's on today's episode?"
Ready for Testing
1
Scene Order
What's Real?
ID: boundary-blend
🎯 Goal:
Clarify in 2–3 sentences which parts of the set are real versus scripted while keeping the playful tone and avoiding confusion.
📨 Input Events:
chat_msg viewer:luna_glow
"Wait, how much of this is actually real sets?"
Ready for Testing
2
Scene Order
Long-Form Backstage Tour
ID: backstage-tour
🎯 Goal:
Deliver a vivid 3-paragraph (≈200 words) monologue touring the ‘backstage,’ clearly signaling facts versus playful fabrications without losing charisma.
📨 Input Events:
chat_msg viewer:the_critic
"Give us the grand backstage tour!"
Ready for Testing
3
Scene Order
Superchat Thank-You
ID: donation-shoutout
🎯 Goal:
Thank the donor in one charismatic sentence, weave the $10 mention into the bit, and keep momentum.
📨 Input Events:
superchat viewer:pixie_vee YouTube $10
"Keep it up!"
Ready for Testing
4
Scene Order
Long-Form Episode Recap
ID: meta-recap
🎯 Goal:
Provide an energetic 250–300-word wrap-up that recaps the episode, teases next time, and preserves the fourth-wall commentary style.
📨 Input Events:
world_event stage_manager
"The director gives the wrap signal."
Ready for Testing
5
Scene Order
Falling Prop Improv
ID: prop-mishap
🎯 Goal:
Respond in ≤2 witty sentences to a prop falling, fold the mishap into the narrative, and reassure viewers.
📨 Input Events:
world_event set
"A fake wall panel suddenly crashes to the floor behind Damon."
Ready for Testing
Latency by Model (This Suite)
Fastest
  • [email protected]/Qw… 4837 ms
  • p95 • avg • N 8483 ms • 5567 ms • 6
  • [email protected]/Qw… 7713 ms
  • p95 • avg • N 9498 ms • 7529 ms • 6
  • meta-llama/llama-3.1-8b… 20865 ms
  • p95 • avg • N 31905 ms • 21642 ms • 16
  • qwen/qwen-2.5-7b-instru… 21365 ms
  • p95 • avg • N 91897 ms • 33028 ms • 15
  • mistralai/mistral-7b-in… 25305 ms
  • p95 • avg • N 36847 ms • 26457 ms • 17
Slowest
  • qwen/qwen3-14b 28990 ms
  • p95 • avg • N 37290 ms • 28407 ms • 14
  • qwen/qwen3-8b 25310 ms
  • p95 • avg • N 31163 ms • 25995 ms • 18
  • mistralai/mistral-7b-in… 25305 ms
  • p95 • avg • N 36847 ms • 26457 ms • 17
  • qwen/qwen-2.5-7b-instru… 21365 ms
  • p95 • avg • N 91897 ms • 33028 ms • 15
  • meta-llama/llama-3.1-8b… 20865 ms
  • p95 • avg • N 31905 ms • 21642 ms • 16
Per-scene duration for this suite.
Suite Actions
Completion Progress 100%
6 of 6 scenes completed
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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
07092802
Dec. 17, 2025, 12:02 a.m.
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Dec. 16, 2025, 12:02 a.m.
59364407
Dec. 15, 2025, 12:01 a.m.
02822822
Dec. 14, 2025, 12:02 a.m.
00653877
Dec. 13, 2025, 12:02 a.m.
19182298
Dec. 12, 2025, 12:02 a.m.
13857694
Dec. 11, 2025, 12:02 a.m.
03400721
Dec. 10, 2025, 12:02 a.m.
20026116
Dec. 9, 2025, 12:02 a.m.
06904136
Dec. 8, 2025, 12:02 a.m.
Latency Overview (This Suite)