Run: 2026-11-11-01M753HJ7YBS16F242276CEHTF

Run Details

Duration:
12.7s
Cost:
$0.004816
Provider:
Meta

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
100.00% Dialogue to Total Word Ratio (details)
100.0000% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 50% words of dialogue between two thieves named Molly and Bill who are planning to break into a children's party to steal all the presents. Only include the prose of the scene without any markdown or commentary.

Model response

AI
Molly adjusted her ski mask until it looked like a disappointed potato. "Bill, the Hendersonouse party starts at three, and we are going in through the laundry chute like little raccoons." Molly whispered over the fence while Bill balanced on a toolbox. "I told you, disguises are key, so I brought a clown nose and absolutely no shame whatsoever." Bill sneezed because the nose was filled with pepper corns and possibly regret. "Perfect, a honking distraction will send the adults running toward the available snacks, obviously." Molly pointed at the garden gnome, which now wore her spare gloves like tiny boxing gloves. "Step one is the cake, step two is the loot, step three is the tragic escape on the tricycle." Bill patted the tricycle, whose bell ringer sounded suspiciously like a last will and testament. "You cannot ride it, Bill, those tires squeak louder than my uncle bargaining at the market." The backyard gate squeaked in solidarity, which Molly took as a professional endorsement from destiny itself. "The presents are stacked by the pinata, which is also our emergency confetti smoke screen, genius." Molly sketched a map on a napkin and underlined the bouncy castle twice, just for dramatic effect. "Remember, we act bored, we act tall, and we absolutely, positively, never giggle in front of a clown." A child inside screamed with joy, causing both thieves to duck behind a suspiciously helpful rose bush. "What if they ask for balloon animals, Molly, what do we do then, panic, weep, surrender gracefully?" Molly handed him a balloon animal shaped unmistakably like expired spaghetti, which he accepted with grave sincerity. "We smile, we twist, we claim it is a avant garde giraffe, and we move on, friend." Bill nodded solemnly, then practiced twisting until the balloon squeaked and the gnome judged him silently. "Okay, one more question, do we take the generic educational board games, or leave them for karma?" Molly considered karma, then considered the resale value, then considered karma again while holding a clipboard. "We take everything except the glitter slime, because that stuff follows a person home forever, allegedly." Bill wrote that down in his little notebook, which also contained grocery lists and pirate themed excuses. "Excellent, and after the heist, we split the swag, minus the inevitable toll paid to the birthday child." Molly raised an eyebrow so sharply it nearly filed an official complaint with her own forehead. "That toll is called cake, Bill, and refusing it has historically led to tactical cookie crumbs everywhere." The gate clicked open a crack, as if destiny itself had gotten tired of waiting for them. "Alright, partners, on three we honk, we crawl, we waddle, and we retire as present bandits, hooray." Molly counted to three on her fingers, then paused to admire her own dramatic patience and excellent counting skills today. "One, two, three, honk time, my dear partner in petty profitable crime." Bill honked, they wobbled, and somewhere inside, balloons braced for glorious and glittery chaos.
created_at"2026-11-11T10:48:01.54Z" 11/11/2026, 10:48:01 AM
model"meta/muse-ember-20261109"
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external_user(null)
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latency1726
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generation_time12682
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tokens_completion961
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native_tokens_completion9619
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native_tokens_reasoning8794
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num_media_completion0
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is_byokfalse
finish_reason"stop"
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api_type"completions"
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provider_responses
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latency804
model_permaslug"meta/muse-ember-20261109"
provider_name"Meta"
status200
total_cost0.0048164
cache_discount(null)
upstream_inference_cost0
provider_name"Meta"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words500
100.00% Dialogue to Total Word Ratio
Ratio: 50.00%, Deviation: 0.00%
neededCleanfalse
wordsTotal500
wordsDialogue250
100.0000%