Run: 2026-07-25-01KYD7MFA93S188ZC58MN2R2RQ

Run Details

Duration:
16.2s
Cost:
$0.000385
Provider:
Poolside

Model input

System
You are an expert novelist with a gift for vivid, immersive prose. You write in tight third-person limited point of view with a strong narrative voice. Your prose is clean, precise, and engaging — you favor strong verbs, concrete details, and natural-sounding dialogue. You will be given a story bible (codex) containing canonical details about characters, locations, items, and lore. Use these details to ground your writing in the established world. Stay consistent with the codex. Write only the prose of the scene. Do not include titles, chapter headings, markdown formatting, or any commentary before or after the scene.
User/Human
<codex> <character id="4412" name="Aurora Carter" aliases="Rory, Laila, Aurora, Carter, Malphora" pronouns="she/her" species="Human" storyRole="Protagonist"> <eyeColor>bright blue</eyeColor> <hair>straight shoulder-length black</hair> <height>5'6"</height> <age>25</age> <scar>small crescent-shaped scar on her left wrist from a childhood accident</scar> <description>Aurora, referred to by her friends as Rory, is cool-headed, intelligent, and known for quick out-of-the-box thinking.</description> <backstory>Born in Cardiff to an Irish barrister father (Brendan Carter) and Welsh teacher mother (Jennifer Carter née Ellis), Rory reluctantly pursued Pre-Law at Cardiff University. She fled to London at the behest of her childhood friend Eva after leaving an abusive ex named Evan. By day, Rory works part-time as a delivery person for Yu-Fei Cheung's Golden Empress restaurant. She lives in a flat above Silas' bar.</backstory> </character> <character id="4413" name="Silas Blackwood" aliases="Silas, Si, the Spymaster" pronouns="he/him" species="Human" storyRole="Mentor"> <eyeColor>hazel</eyeColor> <hair>grey-streaked auburn</hair> <height>6'1"</height> <age>58</age> <beard>neatly trimmed, matching his grey-streaked auburn hair</beard> <limp>slight limp in his left leg from an old knee injury</limp> <signetRing>silver signet ring, always worn on his right hand</signetRing> <description>Silas is a retired intelligence operative turned bar owner. He carries himself with quiet authority.</description> <backstory>Former MI6 field agent who retired after a botched operation in Prague left him with a permanent knee injury. He opened "The Raven's Nest" bar in Soho as a front for his network of contacts.</backstory> </character> <location id="854" name="The Raven's Nest" aliases="the Nest, Raven, Silas' bar" realm="Earth"> <signColor>distinctive green neon sign above the entrance</signColor> <secretRoom>hidden back room accessible through a bookshelf, used for clandestine meetings</secretRoom> <description>A dimly lit bar in Soho, London. The walls are covered with old maps and black-and-white photographs.</description> </location> </codex> Write a fully fleshed out scene of at least 1000 words in the literary fiction genre. Two old friends who haven't seen each other in years run into each other unexpectedly at a bar. One of them has changed significantly. Through their conversation and the tension between who they were and who they've become, reveal the weight of time and unspoken regret. Use the codex entries above as your world reference for characters and setting. Only include the prose of the scene without any markdown or commentary.

Model response

AI
The Raven's Nest exhaled the scent of aged wood and spilled whiskey as Aurora Carter pushed through the heavy oak door, the green neon sign buzzing overhead like a distant heartbeat. She adjusted the delivery bag on her shoulder, her bright blue eyes scanning the familiar gloom. The bar had been her refuge for three years now, a dim-lit kingdom where maps of forgotten wars and black-and-white photographs lined the walls, their edges softened by smoke and time. She knew every shadow, every creak in the floorboards where she’d paced during her shifts, every rhythm of the bar’s slow, patient breathing. But tonight, something was different. The back room, usually a domain of whispered deals and Silas’s quiet presence, felt colder than she remembered. The air hung thick with the musk of old leather and the sharp tang of the secret room’s hidden lamp. She paused at the threshold, her hand hovering over the worn bookshelf. The signet ring on Silas’s right hand glinted faintly in the lamplight as he stepped into the doorway, his silhouette sharp against the flickering bulb. “Rory,” he said, his voice a low rumble. Not the warm, gravelly tone she’d grown used to. It was... distant. She blinked, her wrist flicking to the scar on her left hand, a habit when she was nervous. “Silas. I didn’t know you were here.” He frowned, the gesture almost imperceptible. “You shouldn’t be here either. I thought you’d gone back to the city.” “I work nights. You know that.” A beat. The hum of the neon sign filled the silence. Silas’s gaze lingered on her face—the sharp line of her jaw, the way her black hair clung to her neck in the damp London air. He looked older, she thought. Not in years, but in the way people do when they’ve carried too much. His grey-streaked hair was more salt than pepper now, and the limp in his left leg had deepened, a shadow beneath his tailored trousers. “You look the same,” he said finally. “Still bright-eyed. Still running.” “You look different.” “And you don’t?” She stepped closer, the floorboards groaning beneath her boots. The bar’s usual warmth—whiskey, laughter, the clink of glasses—felt muted here. All she could focus on was the way his hazel eyes held hers, searching. “I brought the usual,” she said, nodding toward the delivery bag. “The Empress is still open?” “For a while longer.” He didn’t answer right away. Instead, he turned, gesturing toward the bar. “Sit.” She hesitated. “You’re not here to deliver dumplings, are you?” The question hung between them, sharp as a blade. “I thought—” She opened her mouth, then closed it. What was there left to say? The last time they’d spoken, the words had been words she couldn’t take back. Silas picked up a glass from the bar, its surface clouded with age. He held it to the light, watching the amber liquid swirl. “You shouldn’t have come back.” “Why not?” “Because you know what this place is. Because you know *what I am*.” Her breath hitched. He set the glass down. “You left me, Rory. Or I left you. I don’t remember anymore.” The admission cracked something open in her chest. “You were the one who told me to go. After Prague.” “Did I?” His laugh was brittle. “Funny how memory bends. I thought I was the one who walked away.” She stepped closer, until she could see the silver ring on his finger, the one he’d worn since she’d first met him, since she’d been seventeen and naive enough to believe loyalty was a currency you could spend freely. “You said I was too dangerous. That I’d get hurt if I stayed.” “I was right.” “You never said that before.” “I learned a lot in the field.” The words were a knife, but she kept her voice steady. “You didn’t say this before. You said I was brilliant. That I was… *enough*.” He flinched. She didn’t like the look in his eyes—the way it flickered between pity and something else, something raw and unrecognizable. “Why are you here?” she asked. Silas’s hand trembled as he set another glass down. “Because they’re looking for you.” Her pulse spiked. “Who?” “People who think you’re still who you pretend to be.” “Laila.” The name fell like a stone. She hadn’t used it in years. Not since she’d burned the passport, the alias, the life she’d built around the person she’d sworn never to become again. “They know about Eva,” Silas said quietly. “About the flat. About the *restaurant*.” She turned away, gripping the edge of the bar until her knuckles went white. “I told you to let it go. Let me handle this.” “I did.” His voice cracked. “I tried to bury it. But they found me first.” “Who found you?” Silas’s jaw tightened. “The people you left behind.” “What people?” “The ones who never forgave you for choosing to survive.” The words were a confession, a wound. She could see it in the way his shoulders sagged, the way he looked at her like she was a stranger who’d walked back into a room she’d once shared with him. “I’m sorry,” she whispered. “No, you’re not.” He stood, his limp more pronounced now, like a man carrying the weight of too many battles. “You’re not sorry enough to stay.” She stepped forward, close enough to see the scar on his knuckles—a old burn, or a fight?—and realized she’d never noticed it before. “I came back because I thought… I thought if I saw your face, I’d remember why I stayed.” Silas stared at her, searching. “You never stayed, Rory.” “Maybe I just needed to know I could.” The bar fell silent except for the buzz of the neon sign and the distant clink of ice in a glass. She could hear her heartbeat, loud in her ears. “You shouldn’t have come here,” he said at last. “This place is a ghost story. A graveyard for people who can’t let go.” “I’m not a ghost.” “No,” he agreed, his voice soft. “You never were.” She reached for his hand, then pulled back. “What do you want from me?” His smile was sad, almost tender. “To see if you’re still the woman who used to laugh like that.” He gestured to her face, to the way her eyes crinkled at the corners when she was nervous. “To see if you remember.” She did. And maybe, just maybe, that was the problem.
created_at"2026-07-25T18:12:10.191Z" 7/25/2026, 6:12:10 PM
model"poolside/laguna-xs-2.1-20260625"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency81
moderation_latency(null)
generation_time14914
tokens_prompt846
tokens_completion3165
native_tokens_prompt877
native_tokens_completion2989
native_tokens_completion_images(null)
native_tokens_reasoning1382
native_tokens_cached864
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)
usage0.00038538
router(null)
provider_responses
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endpoint_id"089ec178-f6dc-4450-aff5-46f68798ce97"
id"chatcmpl-a44156d789d3443d8719048d8fde1246"
is_byokfalse
latency81
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-1785003130-GVUNdUlgSs0njbWB1Xuv"
session_id(null)
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api_type"completions"
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upstream_id"chatcmpl-a44156d789d3443d8719048d8fde1246"
total_cost0.00038538
cache_discount0.0000432
upstream_inference_cost0
provider_name"Poolside"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags13
adverbTagCount2
adverbTags
0"he said finally [finally]"
1"Silas said quietly [quietly]"
dialogueSentences54
tagDensity0.241
leniency0.481
rawRatio0.154
effectiveRatio0.074
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1086
totalAiIsmAdverbs0
found(empty)
highlights(empty)
100.00% AI-ism character names
Target: 0 AI-default names (16 tracked, −20% each)
codexExemptions
0"Blackwood"
found(empty)
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
58.56% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1086
totalAiIsms9
found
0
word"scanning"
count1
1
word"familiar"
count1
2
word"gloom"
count1
3
word"silence"
count1
4
word"warmth"
count1
5
word"flickered"
count1
6
word"trembled"
count1
7
word"pulse"
count1
8
word"weight"
count1
highlights
0"scanning"
1"familiar"
2"gloom"
3"silence"
4"warmth"
5"flickered"
6"trembled"
7"pulse"
8"weight"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"knuckles turned white"
count1
highlights
0"knuckles went white"
88.24% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells3
narrationSentences68
matches
0"was nervous"
1"was sad"
2"was nervous"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences68
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences108
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen39
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans3
markdownWords5
totalWords1081
ratio0.005
matches
0"what I am"
1"enough"
2"restaurant"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions17
unquotedAttributions0
matches(empty)
96.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions13
wordCount750
uniqueNames6
maxNameDensity1.07
worstName"Silas"
maxWindowNameDensity2
worstWindowName"Silas"
discoveredNames
Raven1
Nest1
Aurora1
Carter1
Silas8
London1
persons
0"Raven"
1"Nest"
2"Aurora"
3"Carter"
4"Silas"
places
0"London"
globalScore0.967
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences46
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.925
wordCount1081
matches
0"Not in years, but in the way people do"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences108
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs60
mean18.02
std18.91
cv1.049
sampleLengths
0101
15
275
320
425
519
66
711
868
911
103
113
1234
1316
1417
152
168
179
1829
1929
202
2113
223
2317
2419
2519
2652
273
285
297
3025
312
3220
336
3414
354
3610
371
3833
3913
4025
4115
423
438
442
4510
4639
474
4826
4941
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences68
matches
0"been seventeen"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs133
matches(empty)
37.04% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount6
semicolonCount0
flaggedSentences4
totalSentences108
ratio0.037
matches
0"Silas’s gaze lingered on her face—the sharp line of her jaw, the way her black hair clung to her neck in the damp London air."
1"The bar’s usual warmth—whiskey, laughter, the clink of glasses—felt muted here."
2"She didn’t like the look in his eyes—the way it flickered between pity and something else, something raw and unrecognizable."
3"She stepped forward, close enough to see the scar on his knuckles—a old burn, or a fight?—and realized she’d never noticed it before."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount759
adjectiveStacks0
stackExamples(empty)
adverbCount29
adverbRatio0.03820816864295125
lyAdverbCount6
lyAdverbRatio0.007905138339920948
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences108
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences108
mean10.01
std7.71
cv0.77
sampleLengths
031
116
231
323
45
518
620
712
825
98
109
112
121
1318
147
156
1613
176
182
199
2025
215
2214
2324
247
254
263
273
289
2911
3014
3111
325
339
347
351
362
378
389
399
406
4114
4213
4311
445
452
4613
473
485
4912
47.84% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.3148148148148148
totalSentences108
uniqueOpeners34
55.56% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences60
matches
0"Instead, he turned, gesturing toward"
ratio0.017
6.67% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount32
totalSentences60
matches
0"She adjusted the delivery bag"
1"She knew every shadow, every"
2"She paused at the threshold,"
3"he said, his voice a"
4"She blinked, her wrist flicking"
5"He frowned, the gesture almost"
6"He looked older, she thought."
7"His grey-streaked hair was more"
8"he said finally"
9"She stepped closer, the floorboards"
10"she said, nodding toward the"
11"He didn’t answer right away"
12"She opened her mouth, then"
13"He held it to the"
14"Her breath hitched."
15"He set the glass down."
16"His laugh was brittle"
17"She stepped closer, until she"
18"She didn’t like the look"
19"Her pulse spiked."
ratio0.533
26.67% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount52
totalSentences60
matches
0"The Raven's Nest exhaled the"
1"She adjusted the delivery bag"
2"The bar had been her"
3"She knew every shadow, every"
4"The back room, usually a"
5"The air hung thick with"
6"She paused at the threshold,"
7"The signet ring on Silas’s"
8"he said, his voice a"
9"She blinked, her wrist flicking"
10"He frowned, the gesture almost"
11"The hum of the neon"
12"Silas’s gaze lingered on her"
13"He looked older, she thought."
14"His grey-streaked hair was more"
15"he said finally"
16"She stepped closer, the floorboards"
17"The bar’s usual warmth—whiskey, laughter,"
18"she said, nodding toward the"
19"He didn’t answer right away"
ratio0.867
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences60
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences25
technicalSentenceCount0
matches(empty)
48.08% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags13
uselessAdditionCount2
matches
0"he said, his voice a low rumble"
1"he agreed, his voice soft"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags8
fancyCount2
fancyTags
0"she whispered (whisper)"
1"he agreed (agree)"
dialogueSentences54
tagDensity0.148
leniency0.296
rawRatio0.25
effectiveRatio0.074
82.1769%