Run: 2026-07-25-01KYD6N8AKQV8X35NH5KEF8J35

Run Details

Duration:
12.7s
Cost:
$0.000260
Provider:
Poolside

Model input

System
You are an expert fiction writer. Always keep the following rules in mind: - Write in past tense and use General English spelling, grammar, and colloquialisms/slang. - Write in active voice - Always follow the "show, don't tell" principle. - Avoid adverbs and cliches and overused/commonly used phrases. Aim for fresh and original descriptions. - Convey events and story through dialogue. - Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. - Skip "he/she said said" dialogue tags and convey people's actions or face expressions through their speech - Avoid mushy dialog and descriptions, have dialogue always continue the action, never stall or add unnecessary fluff. Vary the descriptions to not repeat yourself. - Put dialogue on its own paragraph to separate scene and action. - Reduce indicators of uncertainty like "trying" or "maybe" When writing text: - NEVER conclude the scene on your own, follow the beat instructions very closely. - NEVER end with foreshadowing. - NEVER write further than what I prompt you with. - AVOID imagining possible endings, NEVER deviate from the instructions. - STOP EARLY if the continuation contains what was required in the instructions. You do not need to fill out the full amount of words possible.
User/Human
Take into account the following glossary of characters/locations/items/lore... when writing your response: <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> Continue the story using the following instructions: <instructions> 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. </instructions>

Model response

AI
The amber glow of the green neon sign outside The Raven’s Nest cast a sickly hue across the cobblestones as Aurora Carter wiped down the last of the delivery trays in the kitchen. The scent of star anise and ginger clung to her apron, a familiar ghost from her day job at Golden Empress. She glanced at the clock—10:47 PM. The bar should have been empty by now, but the low murmur of conversation still drifted from the main room, punctuated by the occasional clink of glass. She was about to pull her apron from her neck when footsteps echoed in the narrow hallway behind the bar. Slow, deliberate. The kind of steps that belonged to someone who’d walked many halls in his time. Her hand stilled on the wooden counter. “Aurora.” The voice was rougher than she remembered, edged with something like gravel and whiskey. She turned, her heart skipping, and found Silas Blackwood leaning against the doorway, his silhouette softened by the dim light. He hadn’t changed much—still tall, still carrying that quiet authority, but time had carved lines around his eyes and silvered his auburn hair further. A new patch of gray framed his jaw. She blinked. “Silas? What are you doing here?” He pushed through the doorway, his limp catching the light as he shifted his weight. “Didn’t expect to find you closing up tonight.” “I don’t close up. I just finish.” She folded the trays into the corner, arms crossed. “You’re not supposed to be here. This is *my* bar now.” A ghost of a smile tugged at his lips. “Is it?” “Don’t.” She stepped back, wary. “How long have you been watching?” “Long enough to know you don’t like surprises.” He moved into the main room, his gaze sweeping the room. Empty stools, a few scattered patrons nursing drinks, the walls lined with maps and sepia-toned photographs. “Still the same place, then.” She followed him, her boots clicking against the worn floorboards. “You could’ve called.” “I didn’t want to intrude.” “You don’t *intrude* here.” “Do I not?” He stopped by the bar, running a thumb along the edge of the counter. “You used to say I did. When we were younger.” The memory hit her like a punch. Late nights in a cramped flat above a bar in Soho, him reading her law textbooks aloud when she’d fallen asleep, his hand brushing hers under the table. Before the scars, before the cities, before the things they’d both tried to outrun. “What changed?” “Nothing.” He turned, those hazel eyes locking onto hers. “Everything.” She laughed, sharp and brittle. “You sound like a poet now.” “I was going to say something else.” He leaned closer. “Something about how you ended up here.” “Here?” She gestured to the bar, to the city beyond the window. “This is just a job, Silas. Just a place.” “Is it?” He studied her face, the way her jaw tightened, the way her fingers absently traced the crescent scar on her wrist. “You never used to take orders from anyone, let alone a bartender.” “I’m not taking orders.” She shifted, uneasy. “You just show up.” “I needed to see you.” The honesty in his voice made her step back. “Why?” “Because you’re not the girl I remember.” The words hung between them, neither of them moving. She stared at the green neon sign flickering above the door, casting intermittent shadows across his face. “I’m still Rory,” she said quietly. “Are you?” He set down a glass he’d been holding, its contents long gone warm. “You left Cardiff. You left *me*. You disappeared after Evan.” Her breath hitched. “You don’t get to—” “I know.” He held up his hand. “I know I don’t. But you were always like that. Running.” “Maybe I learned something.” She wouldn’t meet his gaze. “Maybe some things are worth running from.” Silas stepped closer then, the scent of cologne and old whiskey mixing with the lingering aroma of the kitchen. “You look tired, Rory.” “I work hard.” “No.” He crouched, his knee protesting as he shifted his weight. “You look like you’re carrying the world.” She laughed again, but it was softer now, tinged with something raw. “And you look like a ghost.” “I’m not a ghost.” “Then what are you?” He straightened, silver ring glinting in the low light. “A man who used to know someone who used to be worth saving.” The words landed like stones. She wanted to argue, to tell him she was fine, that she had her life sorted, that she didn’t need his pity. But the truth was, she didn’t. Not really. “You left me,” she whispered. “I tried.” “And if you had stayed?” Silas’s hand moved to the scar on his knee, rubbing it absently. “Then maybe we’d both be different people now.” The door chimed. Another customer, or perhaps a trick of the wind. The moment fractured, and Silas straightened, his expression hardening into something she hadn’t seen in years—the mask of the operative, the man who’d carried secrets in his bones. “You should go,” he said. “I’m not leaving.” He studied her for a long moment, then nodded, as if she’d surprised even himself. “You never did learn to walk away from a fight.” She didn’t answer. Outside, the city hummed with its usual noise, oblivious to the two old ghosts standing in the half-light of a bar that had seen better days.
created_at"2026-07-25T17:55:07.226Z" 7/25/2026, 5:55:07 PM
model"poolside/laguna-xs-2.1-20260625"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency93
moderation_latency(null)
generation_time12110
tokens_prompt1063
tokens_completion1947
native_tokens_prompt1065
native_tokens_completion1775
native_tokens_completion_images(null)
native_tokens_reasoning435
native_tokens_cached576
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)
usage0.00025962
router(null)
provider_responses
0
endpoint_id"089ec178-f6dc-4450-aff5-46f68798ce97"
id"chatcmpl-3197f8ade00c4dca878a66997f9453e4"
is_byokfalse
latency93
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-1785002107-gqJZQ8qvSR7TdYdNpHkO"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1785002107-ZGEHdQoo6CVe0MP6QZuM"
upstream_id"chatcmpl-3197f8ade00c4dca878a66997f9453e4"
total_cost0.00025962
cache_discount0.0000288
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
totalTags16
adverbTagCount2
adverbTags
0"She stepped back [back]"
1"she said quietly [quietly]"
dialogueSentences53
tagDensity0.302
leniency0.604
rawRatio0.125
effectiveRatio0.075
94.49% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount907
totalAiIsmAdverbs1
found
0
adverb"really"
count1
highlights
0"really"
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)
50.39% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount907
totalAiIsms9
found
0
word"familiar"
count1
1
word"footsteps"
count1
2
word"echoed"
count1
3
word"weight"
count2
4
word"traced"
count1
5
word"tinged"
count1
6
word"glinting"
count1
7
word"fractured"
count1
highlights
0"familiar"
1"footsteps"
2"echoed"
3"weight"
4"traced"
5"tinged"
6"glinting"
7"fractured"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches0
maxInWindow0
found(empty)
highlights(empty)
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences55
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences55
filterMatches(empty)
hedgeMatches
0"tried to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences92
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen33
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans3
markdownWords3
totalWords904
ratio0.003
matches
0"my"
1"intrude"
2"me"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions9
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions13
wordCount636
uniqueNames10
maxNameDensity0.63
worstName"Silas"
maxWindowNameDensity1.5
worstWindowName"Silas"
discoveredNames
Raven1
Nest1
Aurora1
Carter1
Golden1
Empress1
Silas4
Blackwood1
Empty1
Soho1
persons
0"Nest"
1"Aurora"
2"Carter"
3"Silas"
4"Blackwood"
places
0"Raven"
1"Golden"
2"Soho"
globalScore1
windowScore1
85.90% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences39
glossingSentenceCount1
matches
0"something like gravel and whiskey"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount904
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences92
matches
0"sorted, that she"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs48
mean18.83
std17.24
cv0.915
sampleLengths
087
144
21
366
48
523
627
711
811
940
1013
115
124
1327
1449
152
1610
1711
1817
1921
2035
2111
225
2310
247
2526
266
2725
287
2918
3016
3123
323
3318
3418
354
364
3722
3835
395
402
415
4220
4340
445
453
4625
4729
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences55
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs103
matches(empty)
49.69% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount3
semicolonCount0
flaggedSentences3
totalSentences92
ratio0.033
matches
0"She glanced at the clock—10:47 PM."
1"He hadn’t changed much—still tall, still carrying that quiet authority, but time had carved lines around his eyes and silvered his auburn hair further."
2"The moment fractured, and Silas straightened, his expression hardening into something she hadn’t seen in years—the mask of the operative, the man who’d carried secrets in his bones."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount641
adjectiveStacks0
stackExamples(empty)
adverbCount19
adverbRatio0.029641185647425898
lyAdverbCount5
lyAdverbRatio0.0078003120124804995
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences92
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences92
mean9.83
std7.08
cv0.72
sampleLengths
033
121
26
327
420
52
615
77
81
914
1020
1124
128
132
146
1515
168
1716
1811
199
202
215
226
2319
2416
255
2610
273
285
294
3017
3110
327
3328
3414
352
369
371
385
396
4010
417
4212
439
4423
4512
467
474
485
499
63.77% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.40217391304347827
totalSentences92
uniqueOpeners37
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences50
matches(empty)
ratio0
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount29
totalSentences50
matches
0"She glanced at the clock—10:47"
1"She was about to pull"
2"Her hand stilled on the"
3"She turned, her heart skipping,"
4"He hadn’t changed much—still tall,"
5"He pushed through the doorway,"
6"She folded the trays into"
7"She stepped back, wary"
8"He moved into the main"
9"She followed him, her boots"
10"He stopped by the bar,"
11"He turned, those hazel eyes"
12"She laughed, sharp and brittle."
13"He leaned closer"
14"She gestured to the bar,"
15"He studied her face, the"
16"She shifted, uneasy"
17"She stared at the green"
18"she said quietly"
19"He set down a glass"
ratio0.58
10.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount45
totalSentences50
matches
0"The amber glow of the"
1"The scent of star anise"
2"She glanced at the clock—10:47"
3"The bar should have been"
4"She was about to pull"
5"The kind of steps that"
6"Her hand stilled on the"
7"The voice was rougher than"
8"She turned, her heart skipping,"
9"He hadn’t changed much—still tall,"
10"A new patch of gray"
11"He pushed through the doorway,"
12"She folded the trays into"
13"A ghost of a smile"
14"She stepped back, wary"
15"He moved into the main"
16"She followed him, her boots"
17"He stopped by the bar,"
18"The memory hit her like"
19"He turned, those hazel eyes"
ratio0.9
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences50
matches
0"Before the scars, before the"
ratio0.02
40.82% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences21
technicalSentenceCount3
matches
0"Late nights in a cramped flat above a bar in Soho, him reading her law textbooks aloud when she’d fallen asleep, his hand brushing hers under the table."
1"The moment fractured, and Silas straightened, his expression hardening into something she hadn’t seen in years—the mask of the operative, the man who’d carried …"
2"Outside, the city hummed with its usual noise, oblivious to the two old ghosts standing in the half-light of a bar that had seen better days."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags16
uselessAdditionCount6
matches
0"She stepped back, wary"
1"He moved, his gaze sweeping the room"
2"He turned, those hazel eyes locking onto hers"
3"She shifted, uneasy"
4"He set down, its contents long gone warm"
5"He crouched, his knee protesting as he shifted his weight"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount1
fancyTags
0"she whispered (whisper)"
dialogueSentences53
tagDensity0.057
leniency0.113
rawRatio0.333
effectiveRatio0.038
79.8348%