Run: 2026-07-25-01KYD5N3Y2HWWE11MD9V8T2VYV

Run Details

Duration:
11.1s
Cost:
$0.000255
Provider:
Poolside

Evaluation summary

Score Evaluator
Details Link
0.21% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
0.1070% 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 crouched over a crumpled map sprawled on a rust-stained barrel, her finger tracing a dotted line to a neon-lit community center. Bill slouched against a stack of old tires, munching on a stale granola bar. “Right,” Molly said, tapping the map. “The party’s in two hours. We hit it during the cake-cutting ceremony—maximum chaos, zero attention span.” Bill snorted. “Chaos? Ma’am, that’s a *children’s* party. Chaos is the birthday clown juggling rubber chickens.” “Exactly. Distraction central.” She jabbed the map. “We need a plan. Entry, extraction, loot. Simple.” “Extraction?” Bill perked up. “What if we dress as party workers? ‘Hi, I’m here to collect the presents for the Tooth Fairy Fund!’” Molly nearly choked on her coffee. “Bill, we’re not *fairy* thieves. We’re professionals.” “Professionals who wear polka-dot vests, sure.” He stood, striking a ridiculous pose. “I’ll be ‘Bernie the Balloon Artist.’ You can be… ‘Sally the Sarcastic Cupcake.’” “My brand is *mystique*,” she hissed. “We’ll use the delivery van. Fake permit. I’ve got a guy who bribes parking attendants with lottery tickets.” “Smart. But what if the cops show up?” “They won’t. The mayor’s nephew is on the guest list. He’s got a thing for ‘undercover cops.’” Molly rolled her eyes. “We’ll blend in. You distract the bouncer with your ‘suspicious’ cupcake collection.” Bill nodded sagely. “And I’ll ‘accidentally’ drop a cupcake, causing a minor panic. Perfect.” “For *you*,” Molly muttered. “Now, the presents. We’re not taking everything—just the big-ticket items. That video game, the hoverboard, maybe the diamond-encrusted pacifier.” “Diamond pacifier? Seriously?” Bill blinked. “Who even *are* these parents?” “The host’s a tech CEO. The kid’s five. He wants a ‘golden retriever robot dog.’” Molly smirked. “We’ll swap it with a mechanical squirrel. Same price, less liability.” “Brilliant. What about the escape?” “Van’s already warmed up. We’ll load up during the ‘glowing slime’ activity. Kids are too busy being grossed out to notice.” Bill grinned. “And if things go sideways?” “We blame the clown. ‘He told us the presents were cursed!’” “Genius. I’ll practice my fake accent tomorrow. ‘Bernie the Balloon Artist’ needs to sound… *authoritative.*” Molly groaned. “You sound like a drunk mime.” “Thanks. I’ll work on that.” He tossed the granola bar wrapper. “So, when’s the heist?” “Tonight. But first, we need costumes.” “Right. And I assume you’ve already bribed the costume shop owner?” “I’ve bribed *three*.” She tossed him a crumpled receipt. “Now let’s go. And Bill?” “Yeah?” “If you ‘accidentally’ drop *another* cupcake, I’m throwing you out the van.” “Deal.” He saluted, nearly tripping over a tire. Molly sighed. “We’re doomed.” “Or we’re gonna steal a million dollars in toys. Depends on how you look at it.” She smirked. “Let’s go make history, Bernie.” They slipped into the shadows, the map fluttering to the ground as the warehouse door creaked shut behind them.
created_at"2026-07-25T17:37:34.154Z" 7/25/2026, 5:37:34 PM
model"poolside/laguna-xs-2.1-20260625"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency76
moderation_latency(null)
generation_time9604
tokens_prompt75
tokens_completion2242
native_tokens_prompt81
native_tokens_completion2099
native_tokens_completion_images(null)
native_tokens_reasoning1239
native_tokens_cached64
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
service_tier(null)
usage0.00025482
router(null)
provider_responses
0
endpoint_id"089ec178-f6dc-4450-aff5-46f68798ce97"
id"chatcmpl-62976b49350b460686adf04d99e4ae19"
is_byokfalse
latency76
model_permaslug"poolside/laguna-xs-2.1-20260625"
provider_name"Poolside"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1785001054-DUQ5w3Xv8AMU7UQbxwAB"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1785001054-zyo5LHxL1YhIah8FniEZ"
upstream_id"chatcmpl-62976b49350b460686adf04d99e4ae19"
total_cost0.00025482
cache_discount0.0000032
upstream_inference_cost0
provider_name"Poolside"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
0.21% Matches word count n/a
neededCleanfalse
words472
0.00% Dialogue to Total Word Ratio
Ratio: 73.85%, Deviation: 23.85%
neededCleanfalse
wordsTotal478
wordsDialogue353
0.1070%