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Run: 2026-07-25-01KYD5T6C6VJB0FQQ45TTJPFP6
Run Details
Model:
Laguna XS 2.1
Test:
Dialogue tags
Scenario:
Write 500 words with 30% dialogue
Duration:
9.3s
Cost:
$0.000215
Provider:
Poolside
Evaluation summary
Score
Evaluator
Details Link
0.00%
Matches word count
(details)
0.00%
Dialogue to Total Word Ratio
(details)
0.0000%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 30% 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
Messages
Meta
AI
Molly paced behind a rusted dumpster, her finger tracing a crumpled map of the suburban backyard. “Alright, the party starts at three. We hit it right when the cake comes out—perfect distraction.” Bill, sprawled on a nearby crate, didn’t look up from his sandwich. “Distraction? What if the kids just scream louder than the cake?” “They’re five years old. They scream regardless.” Molly unfolded the map, pointing to a window. “Entry through the kitchen. Minimal guards, maximum frosting.” Bill chewed slowly. “Or we could just dress as caterers. You know, aprons, fake mustaches—” “Bill. We’re thieves, not *Waitress!* rejects.” She yanked a cardboard sign from her coat: *FREE HUGS HERE*. “We blend in. Kids love free hugs. Parents? Less so.” He snorted. “You’re overthinking this. Just waltz in, grab the presents, waltz out.” “Waltz?” She brandished a toy lightsaber. “More like a stealthy ninja fox. Quiet, sly, and slightly terrifying.” “Right. So, ninja fox. What about the dog?” “The dog’s named Mr. Wiggles. He’s a gentlewoof.” She flipped to another page. “Security camera in the gift table corner. We disable it with this.” She produced a rubber duck. “Bill, meet Donald Duck.” “That’s a squeaky toy.” “Exactly. Distract the camera with its existential crisis.” He rolled his eyes. “You’re losing it.” “No, I’m *planning*.” She tapped the map. “We move at 3:15. You take the left, I’ll sweep the right. When we reach the presents, we grab the big red box labeled *Huge Surprise*—that’s the jackpot.” “And if someone catches us?” “Then we improvise.” She smirked. “Like when I once convinced a security guard I was auditioning for *Cats*.” “You were wearing a cat costume.” “Details.” Bill finally swallowed his sandwich. “What’s the exit strategy?” “Van’s parked two blocks away. I’ll drive, you… uh… *supervise*.” “Supervise?” “Keep an eye on the loot. And maybe the kids. Don’t want them crying.” “Right. Because nothing says ‘successful heist’ like a toddler’s tears.” “They’re *children’s* tears. More… *acrid*.” Molly grinned. “Now, rehearsal time.” “Are we rehearsing *what*? Sneaking into a party?” “Yes. With enthusiasm.” She struck a pose. “On three. One—” “Two—” “THREE!” They lunged forward, colliding with a dumpster. Bill groaned. “We’re gonna die.” “No we’re not.” She adjusted her fake mustache. “We’re *ninja foxes*.” “Molly.” “Shhh. The cake hasn’t even come out yet.” They stared at the suburban house, its windows glowing with laughter and the scent of vanilla. Bill sighed. “We’re stealing presents from *kids*.” “Yes. Revolutionary behavior.” She saluted. “Let’s go make history.” And with that, they tiptoed toward the yard, where a kazoo serenade echoed from the backyard—perfect timing.
created_at
"2026-07-25T17:40:20.493Z"
7/25/2026, 5:40:20 PM
model
"poolside/laguna-xs-2.1-20260625"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
66
moderation_latency
(null)
generation_time
8267
tokens_prompt
75
tokens_completion
1833
native_tokens_prompt
81
native_tokens_completion
1748
native_tokens_completion_images
(null)
native_tokens_reasoning
951
native_tokens_cached
0
num_media_prompt
(null)
num_input_audio_prompt
(null)
num_media_completion
0
num_search_results
(null)
num_fetches
(null)
web_search_engine
(null)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"stop"
service_tier
(null)
usage
0.00021462
router
(null)
provider_responses
0
endpoint_id
"089ec178-f6dc-4450-aff5-46f68798ce97"
id
"chatcmpl-b4db1a77d8e34b928138abb23150a216"
is_byok
false
latency
66
model_permaslug
"poolside/laguna-xs-2.1-20260625"
provider_name
"Poolside"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer
(null)
request_id
"req-1785001220-jW5BHD8cOPGTG5kOsGTG"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1785001220-kEyIYLyhCGs13VHIIpIt"
upstream_id
"chatcmpl-b4db1a77d8e34b928138abb23150a216"
total_cost
0.00021462
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Poolside"
response_cache_source_id
(null)
data_region
"global"
Evaluation details
Result
Evaluator
Details
Meta Data
0.00%
Matches word count
n/a
neededClean
false
words
432
0.00%
Dialogue to Total Word Ratio
Ratio: 67.59%, Deviation: 37.59%
neededClean
false
wordsTotal
432
wordsDialogue
292
0.0000%