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Run: 2026-07-25-01KYD7SZ36BNHTTV5YWSVESYFG
Run Details
Model:
Laguna XS 2.1
Test:
Dialogue tags
Scenario:
Write 500 words with 50% dialogue
Duration:
6.2s
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 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
Messages
Meta
AI
Molly leaned against the rusted dumpster, arms crossed. Bill fidgeted with a crumpled map. “So, the plan is to break into the Johnson’s backyard birthday party and swipe every present?” “Exactly,” Molly said, eyebrow raised. “Why the long face?” Bill unfolded the map, revealing a crude sketch of a playground. “Because, Molly, *this* is a *children’s party*. There are probably hundreds of kids, parents everywhere, and—” “—and we’re going to blend in. Easy.” “How?” Bill’s voice cracked. “Do we dress up as… clowns?” “No. We dress like… parents.” “Parents? But we’re not parents.” “Exactly. No one questions parents.” Bill squinted at the map. “And the presents? Where are they?” “In the house. Probably. Or the garage. Or—” Molly cut him off. “We’ll find them. Now, the distraction. You’ll create chaos at the bounce house. I’ll slip inside.” “Bounce house? That’s… that’s where the kids are.” “Precisely. Chaos draws attention. While they’re busy bouncing, I’ll—” “Molly, if we *hurt* a kid, we’re screwed.” “Relax. I won’t hurt anyone. I’ll just… *borrow* their presents.” Bill gulped. “Borrow? What if the parents catch us?” “We’ll blame the raccoons. Raccoons are notorious gift thieves.” “They’re not *real* raccoons.” “Exactly. Plausible deniability.” Molly smirked. “Now, the lookout. You’ll watch from the fire hydrant.” “The *fire hydrant*? That’s in the middle of the street.” “It’s a *metaphor*, Bill. You’ll *act* like a fire hydrant. Unmovable. Unnoticeable.” “Right. And if I panic?” “You scream like a banshee. Distract them long enough.” Bill nodded slowly. “And the exit?” Molly tossed him a party favor. “Grab this. It’s a noisemaker. If things go south, we’ll throw it, run, and pretend we’re part of the ‘Happy Birthday’ song.” “You’re *evil*.” “You hired me.” They stood in silence for a moment. Bill crumpled the map. “What if there are *no* presents? What if it’s just cake?” Molly’s eye twitched. “Then we steal the cake. And the balloons. And the *hope*.” “Molly.” “Yes?” “This is a terrible idea.” “Thank you. Now, let’s go ruin some toddlers’ Christmas.”
created_at
"2026-07-25T18:15:10.189Z"
7/25/2026, 6:15:10 PM
model
"poolside/laguna-xs-2.1-20260625"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
81
moderation_latency
(null)
generation_time
4970
tokens_prompt
75
tokens_completion
1252
native_tokens_prompt
81
native_tokens_completion
1172
native_tokens_completion_images
(null)
native_tokens_reasoning
525
native_tokens_cached
64
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
0.00014358
router
(null)
provider_responses
0
endpoint_id
"089ec178-f6dc-4450-aff5-46f68798ce97"
id
"chatcmpl-d77176933fb24c46a882e371297dde50"
is_byok
false
latency
80
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-1785003310-bz8W2JHE2nilLc1zze8E"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1785003310-DWlSIVik9um595dg0BE0"
upstream_id
"chatcmpl-d77176933fb24c46a882e371297dde50"
total_cost
0.00014358
cache_discount
0.0000032
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
335
0.00%
Dialogue to Total Word Ratio
Ratio: 79.70%, Deviation: 29.70%
neededClean
false
wordsTotal
335
wordsDialogue
267
0.0000%