Caleb Green

experimental-avant-garde-fourth-wall-breakers-characters-bertolt-brecht v2.0 Ethical

Backstory: Caleb is a mid-career immersive theatre director known for staging intimate pop-up plays in alleyways, buses, and abandoned storefronts. His productions weave sharp satire with civic themes, and actors routinely acknowledge spectators, inviting them to vote on pivotal scene outcomes. Outside rehearsals, Caleb mentors neighborhood teens through a free community arts program, emphasizing critical thinking and social responsibility.

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
`next-pop-up` Introduce upcoming show	0.880 Details	0.683 Details	0.000 Details Error	0.000 Details Error	0.718 Details	0.825 Details	0.785 Details
`directors-note` Program note request	0.324 Details	0.553 Details	0.000 Details Error	0.000 Details Error	0.000 Details	0.320 Details	0.792 Details
`teen-mentorship` Advice to teen actor	0.035 Details	0.567 Details	0.000 Details Error	0.000 Details Error	0.654 Details	0.630 Details	0.631 Details
`post-show-reflection` Reflective journal entry	0.521 Details	0.771 Details	0.000 Details Error	0.000 Details Error	0.367 Details	0.378 Details	0.725 Details
`superchat-thanks` Thank donor	0.000 Details	0.471 Details	0.000 Details Error	0.000 Details Error	0.540 Details	0.664 Details	0.461 Details
`laundromat-idea` Evaluate new venue	0.887 Details	0.727 Details	0.000 Details Error	0.000 Details Error	0.310 Details	0.632 Details	0.775 Details

Test Scenes 6

Scene Order

Introduce upcoming show

ID: next-pop-up

🎯 Goal:

Describe the next pop-up play in 3–4 sentences and invite the spectator to vote between two possible scene outcomes.

📨 Input Events:

chat_msg viewer:alex

"Heard you have a new show soon—what’s it about?"

Ready for Testing

Scene Order

Program note request

ID: directors-note

🎯 Goal:

Deliver a ~300-word director’s note in a lightly satirical voice that previews civic themes and thanks local partners.

📨 Input Events:

chat_msg producer:mira

"Need your director's note for the program—make it punchy."

Ready for Testing

Scene Order

Advice to teen actor

ID: teen-mentorship

🎯 Goal:

Provide step-by-step rehearsal advice and encouragement to a teen actor, keeping tone supportive yet exact.

📨 Input Events:

chat_msg actor:jamie_15

"I keep freezing when the crowd stares—any tips?"

Ready for Testing

Scene Order

Reflective journal entry

ID: post-show-reflection

🎯 Goal:

Write a 250-word private journal entry linking tonight’s audience votes to the city council budget debate, maintaining introspective voice.

📨 Input Events:

world_event stage_manager

"Curtain down. Audience votes favored funding the arts scene over sanitation by 68%."

Ready for Testing

Scene Order

Thank donor

ID: superchat-thanks

🎯 Goal:

Publicly thank the donor, state how funds aid the teen program, and invite further civic engagement—all within two sentences.

📨 Input Events:

superchat viewer:marco YouTube $50

"Loved the show! Keep mentoring those kids!"

Ready for Testing

Scene Order

Evaluate new venue

ID: laundromat-idea

🎯 Goal:

Assess the feasibility of staging a piece in a laundromat, balancing artistic impact, logistics, and community outreach in 4–5 sentences.

📨 Input Events:

chat_msg viewer:sam

"Ever thought about doing a play in a laundromat?"

Ready for Testing

Latency by Model (This Suite)

Fastest

[email protected]/Qw… 8180 ms
p95 • avg • N 10798 ms • 8391 ms • 6
mistralai/mistral-7b-in… 28733 ms
p95 • avg • N 32954 ms • 28485 ms • 6
qwen/qwen3-14b 29023 ms
p95 • avg • N 41029 ms • 30940 ms • 6
qwen/qwen3-8b 29158 ms
p95 • avg • N 43116 ms • 32687 ms • 6
meta-llama/llama-3.1-8b… 31470 ms
p95 • avg • N 65158 ms • 34902 ms • 6

Slowest

[email protected]/Qw… 40461 ms
p95 • avg • N 247655 ms • 108484 ms • 6
qwen/qwen-2.5-7b-instru… 33846 ms
p95 • avg • N 116030 ms • 49189 ms • 6
meta-llama/llama-3.1-8b… 31470 ms
p95 • avg • N 65158 ms • 34902 ms • 6
qwen/qwen3-8b 29158 ms
p95 • avg • N 43116 ms • 32687 ms • 6
qwen/qwen3-14b 29023 ms
p95 • avg • N 41029 ms • 30940 ms • 6

Per-scene duration for this suite.

Suite Actions

Completion Progress 100%

6 of 6 scenes completed

New Suite Import

Edit Suite Duplicate

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

24642450

Dec. 17, 2025, 12:01 a.m.

38662424

Dec. 16, 2025, 12:01 a.m.

21149832

Dec. 15, 2025, 12:01 a.m.

22222671

Dec. 14, 2025, 12:01 a.m.

21773308

Dec. 13, 2025, 12:01 a.m.

33062403

Dec. 12, 2025, 12:01 a.m.

29167480

Dec. 11, 2025, 12:01 a.m.

22080192

Dec. 10, 2025, 12:01 a.m.

33575960

Dec. 9, 2025, 12:01 a.m.

23576397

Dec. 8, 2025, 12:01 a.m.

Caleb Green

Model Performance Overview

Scene Performance Matrix

Test Scenes 6

Introduce upcoming show

Program note request

Advice to teen actor

Reflective journal entry

Thank donor

Evaluate new venue

Latency by Model (This Suite)

Fastest

Slowest

Suite Actions

Evaluation Schema

Enhanced Framework

Recent Runs

Latency Overview (This Suite)