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Run: 2026-07-25-01KYD5Y3ZHVRNE3MQDD4MSZS9T
Run Details
Model:
Laguna S 2.1
Test:
Dialogue tags
Scenario:
Write 500 words with 30% dialogue
Duration:
7.8s
Cost:
$0.000144
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
The warehouse reeked of stale pizza and poor decisions as Molly spread blueprints across a rusted table. Bill hunched over her shoulder, squinting at the elaborate scheme drawn in what appeared to be crayon. "So let me get this straight," Bill said, adjusting his wire-rimmed glasses. "We're robbing a kid's birthday party?" "Don't be ridiculous," Molly replied, rolling up her sleeves. "We're liberating unclaimed gifts from an event where the return policy is essentially nonexistent." Bill scratched his stubble. "Right. Because nothing says 'master criminal' like stealing Elmo dolls." "The principle remains the same," Molly insisted, tracing a route with her finger. "Twenty-seven children, average gift value fifteen dollars, total haul approximately four hundred dollars minus expenses." "Minus expenses?" Bill raised an eyebrow. "What's our overhead here? Balloons?" "We need the element of surprise," Molly said seriously. "I'm thinking black masks, maybe some fake mustaches for disguise." Bill snorted. "Fake mustaches? At a children's party?" "The kids won't suspect a thing. Children trust mustaches implicitly." "That's not—" Bill stopped himself. "How do we even get in?" Molly pointed to her blueprint. "The cake table. See, everyone's attention will be focused on the birthday boy when I dramatically reveal the piñata. While they're distracted, you'll be collecting gifts from the present mountain." "The piñata is our distraction?" "Obviously. What did you think this was, sophisticated criminal enterprise?" Bill stared at her. "Molly, I've robbed banks with you, jewelry stores, even that one time we lifted the collection plate from that megachurch—" "That was charity work," Molly interrupted. "But robbing a children's party for plastic toys and gift cards to Chuck E. Cheese?" "Look, I didn't become the world's most wanted gift thief by playing it safe," Molly said, striking a dramatic pose. "Besides, think of the profit margin. These parents spend hours wrapping presents worth maybe ten dollars each." Bill rubbed his temples. "And if we get caught?" "We won't get caught," Molly said confidently. "I've planned for every contingency. Plan A: piñata distraction. Plan B: balloon animals. Plan C: I cry and blame everything on my evil twin." "Your evil twin?" "Well, you know what they say about plausible deniability." Bill looked around the warehouse. "Molly, I think we've lost our minds." "That's exactly what makes us dangerous," she said with a grin. "Now, about those fake mustaches—should we go handlebar or pencil thin?" "The pencil thin ones make us look like librarians." "Perfect. Librarians are never suspected of gift-related crimes." Bill sighed and pulled out a chair. "You know what? I'm starting to think maybe we should stick to something simpler. Like bank robbery." "Where's your sense of adventure?" "Apparently it was stolen by a bunch of six-year-olds and their suspiciously well-wrapped presents."
created_at
"2026-07-25T17:42:31.298Z"
7/25/2026, 5:42:31 PM
model
"poolside/laguna-s-2.1-20260720"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
167
moderation_latency
(null)
generation_time
4578
tokens_prompt
75
tokens_completion
762
native_tokens_prompt
109
native_tokens_completion
681
native_tokens_completion_images
(null)
native_tokens_reasoning
0
native_tokens_cached
32
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
0.00014422
router
(null)
provider_responses
0
endpoint_id
"ab7f9e97-1af5-4b81-b099-cc932f54234e"
id
"chatcmpl-3346a70400024e40a87c3d3d25abbc24"
is_byok
false
latency
162
model_permaslug
"poolside/laguna-s-2.1-20260720"
provider_name
"Poolside"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer
(null)
request_id
"req-1785001351-wqhZGAEA1w0HhfgUsndq"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1785001351-XwfjPA7nzJr5rxGzXC6o"
upstream_id
"chatcmpl-3346a70400024e40a87c3d3d25abbc24"
total_cost
0.00014422
cache_discount
0.00000288
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
455
0.00%
Dialogue to Total Word Ratio
Ratio: 75.70%, Deviation: 45.70%
neededClean
false
wordsTotal
461
wordsDialogue
349
0.0000%