Run: 2026-09-03-01M1KYRWATMWDHE6KKJ0W66Q00

Run Details

Duration:
3m 18s
Cost:
$0.028754
Provider:
Parasail

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="4416" name="Detective Harlow Quinn" aliases="Quinn, Detective Quinn, Harlow" pronouns="she/her" species="Human" storyRole="Antagonist"> <eyeColor>brown</eyeColor> <hair>closely cropped salt-and-pepper</hair> <height>5'9"</height> <age>41</age> <jawline>sharp jaw</jawline> <watch>worn leather watch on her left wrist</watch> <bearing>military precision</bearing> <description>A Metropolitan Police detective with 18 years of decorated service who suspects the clique is involved in criminal activity.</description> <backstory>She lost her partner, DS Morris, during a case three years ago under unexplained circumstances that had supernatural origins she doesn't yet understand.</backstory> </character> <character id="4417" name="Tomás Herrera" aliases="Tommy, Tomás, Herrera" pronouns="he/him" species="Human" storyRole="Support"> <eyeColor>warm brown</eyeColor> <hair>short curly dark brown</hair> <height>5'10"</height> <age>29</age> <skinTone>olive skin</skinTone> <scar>scar running along his left forearm from a knife attack</scar> <medallion>Saint Christopher medallion around his neck</medallion> <birthplace>Seville, Spain</birthplace> <description>A former paramedic who provides off-the-books medical care for the clique.</description> <backstory>Born in Seville, Spain. He moved to London to work for the NHS but lost his license after administering unauthorized treatments to supernatural patients.</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> <location id="856" name="The Veil Market" aliases="Veil Market, the Market, underground market" realm="Earth"> <currentLocation>abandoned Tube station beneath Camden</currentLocation> <entryRequirement>bone token</entryRequirement> <schedule>moves locations every full moon</schedule> <description>A hidden supernatural black market that sells enchanted goods, banned alchemical substances, and information.</description> </location> </codex> Write a fully fleshed out scene of at least 1000 words in the thriller genre. A detective is pursuing a suspect through rain-soaked city streets at night. The chase takes them from the street level down into an underground market. The detective must decide whether to follow the suspect into unfamiliar and potentially dangerous territory. 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 green neon of the Raven’s Nest bled into the rain like a wound that would not close. Quinn stood on the pavement outside the bar, collar up, rain hammering the salt-and-pepper crop of her hair, and watched the suspect come out of the side exit with the speed of someone who knew exactly where the cameras were. One moment she had been in the hidden back room, behind the bookshelf, where the clique had been talking in low voices over old maps and black-and-white photographs. The next, the man in the charcoal coat was three paces from her, already moving. The look on his face was not fear. It was the look of a rat deciding which trap not to take. Quinn’s hand went to her hip, but not for her baton. For the small evidence bag in her pocket, where a carved bone token lay between two crumpled receipts. It had come out of a dead courier’s wallet, and it had been warm for three days. Warm, though the rain was cold enough to bite through her coat. He ran. She did not shout. She did not draw. She let her eyes track the line of his shoulders, the way he favored his left foot, the way the slick street mirrored him in broken green and amber. Eighteen years had given her the patience to know that panic was a luxury. She moved with military precision, cutting through Old Compton Street and into the mews before the traffic on Charing Cross Road could swallow him. Rain ran in cold lines down her neck. Her leather watch on her left wrist showed eleven forty-seven. The man turned down a narrow passage between two buildings with no name on them, except a faded stenciled number and a fire door that should have been locked. He was not. Quinn reached it first, shouldered it, and took the stairwell two steps at a time. Somewhere below, her footsteps echoed against brick and rust. The smell changed as she descended—wet concrete, diesel, and something else, something sweet and metallic, like ozone trapped in a jar. At the bottom, the street had become Camden. Not the Camden she knew from the maps in the Raven’s Nest, the one pinned with old photographs and circled routes, but a Camden that leaned closer to the ground and listened to the pipes. A service corridor opened between a shuttered kebab shop and a row of council flats, its mouth hidden by a corrugated steel gate. The man was gone, but his footprints led through a puddle in a line that stopped too neatly, as if he had been waiting for her to arrive. Quinn stopped at the gate. Her phone had one bar, no data. The rain had thinned to a hiss against the tin. Beyond the gate, there was a stairwell descending into darkness, and beneath the darkness, a low blue light, almost invisible, pulsing through a crack in the brick. She thought about calling it in. One word into the radio: Market. Backup. The name itself made her hesitate. She had not written it in any Met report. Veil Market. The phrase had come from a half-drowned informant in a holding cell, eyes wide, lips bleeding. Beneath Camden. Moves every full moon. Bone token. She had dismissed it as folklore until the token in her pocket had begun to glow when the rain touched it. The token was warm now. From below came the sound of a man coughing, and then a low voice, soft and urgent. “Don’t move. The cut is clean. I can close it.” Quinn knew that voice from a mug shot, from a suspended license file, from the one name that had kept surfacing in the margin notes of her case board. Tomás Herrera. The paramedic who had lost his registration after treating patients the NHS would not admit existed. She descended. The stairs ended in an abandoned Tube station, its platform slick with black water, the old signage painted over and repainted in faded blue. The air was thick with herbs, candle smoke, and the mineral tang of a place that had not seen sunlight in years. Along the far wall, figures moved in slow, deliberate lines, their faces half-hidden by hoods and high collars. A woman in a leather apron was pouring something bright green from a glass flask into a clay bowl. A child no older than ten sat cross-legged on the platform, selling folded papers with no words on them. The man from the Raven’s Nest was already three steps away, a dark satchel over his shoulder, moving toward a gap in the wall that was not on any Tube map. Tomás was kneeling beside a girl in a torn coat. Her sleeve was rolled up, and the wound on her forearm was closed, sealed, and still pink, as if it had never been. His hand hovered over her wrist, his brown eyes steady, his short dark curls wet, the silver Saint Christopher medallion around his neck catching the blue light. The scar along his left forearm showed through his shirt as he shifted. “Tomás.” Quinn’s voice was lower than she intended. “You should have stayed put.” He looked up. For a moment his face gave nothing away. Then his jaw tightened. “You should have stayed in your office, Detective.” “I’m not your office.” She stepped closer, her coat dripping onto the platform. “And neither are you. Where’s the satchel? The vials? The thing that was in the back room?” “It’s gone.” “Then tell me where the man went.” Tomás’s gaze dropped to her hand. To the evidence bag. To the token. “He went where everyone goes when the token opens,” he said. “You know what that means.” “I know what I’m allowed to know.” “That’s not what you’re asking.” He rose slowly, his knees clicking, and placed himself between her and the gap in the wall. His posture was careful, the posture of a man used to blood on his hands and not having time to wash it off. “The market doesn’t want police. It wants customers. If you go in, you’re not a customer. You’re a problem.” Quinn’s eyes moved past him. Inside the gap, the blue light deepened, and the smell of ozone grew stronger. Somewhere in the market, a bell rang once, dull and final. A man in a black coat turned, saw her, and then looked at Tomás with an expression that was not angry but bored, the way a butcher looks at a dog at its door. “Morris,” Quinn said. Tomás went still. The word fell into the wet air. The girl beside him flinched. The woman with the flask stopped pouring. For a second the only sound was the drip of rain through the stairwell above and the soft breathing of the market. “Morris didn’t die,” Quinn said, and her voice was flat, the flatness of a woman holding a cracked line of thought together with nothing but discipline. “Three years. A file full of holes. No body, no report, no explanation. You were there, Tomás. Or you claim you were.” His eyes met hers, and the warmth in them was gone. “Morris paid for what he learned.” “With what?” “With a price the city kept.” He looked down at the girl, then back at her. “You think this is a bar? A back room? A market? This is a place where things are bought because they can’t be made anywhere else. And some of them are still alive when they get here.” Quinn’s pulse hammered in her throat. She could feel the token in her pocket pressing against her palm, warm, almost insistent. Behind Tomás, the man in the black coat had not moved. Around them, the market continued, a low hum of voices and glass and footsteps on wet stone. She had enough reason to turn back. Enough to call in what she saw and let someone else walk into the unknown. Enough to preserve the chain, the protocol, the thin line between evidence and accident. She also had enough reason not to. The man from the Raven’s Nest disappeared through the gap, and the satchel against his hip flashed with a seal of black wax. The satchel. The thing from the back room. The thing that might have been the first honest lead she had in three years. Tomás saw her reach into her pocket. “If you use that,” he said quietly, “they’ll know you’re looking for something. And they’ll start asking who sent you.” “Who sent me?” Quinn asked, though she already knew the answer. She pulled out the evidence bag. The bone token sat inside, pale and carved with lines that looked like roots, like veins, like the old maps on the Raven’s Nest walls. Her fingers closed around it. “I sent me.” The man in the black coat stepped forward, and the others in the market turned as one, their faces unreadable in the blue light. The gap in the wall seemed to widen, not with movement but with attention. Quinn heard the wet click of her watch as she lifted it, the worn leather strap creaking against her wrist. She looked at the token, then at the threshold, then at Tomás. “Keep her alive,” she said, nodding toward the girl. “If I come back, you’ll tell me where Morris is. If I don’t, you’ll know I found out.” Tomás closed his eyes for a beat, then stepped aside. The market watched. The token grew hot in her hand, and Quinn crossed the gap into the Veil Market.
created_at"2026-09-03T15:39:03.909Z" 9/3/2026, 3:39:03 PM
model"qwen/qwen3.8-27b-20260814"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency948
moderation_latency(null)
generation_time197751
tokens_prompt888
tokens_completion11654
native_tokens_prompt908
native_tokens_completion12967
native_tokens_completion_images(null)
native_tokens_reasoning10931
native_tokens_cached0
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)
usage0.0287544
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788449943-RsVlpGgO0gUbSVehVa8X"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788449943-ZLuo7brhvNvCm2KDpct0"
upstream_id"chatcmpl-f9549f73ac5e3c642e0bd724616ee185-r1"
provider_responses
0
endpoint_id"a58a4a1f-4e83-4776-a40e-9f55b72783cb"
id"chatcmpl-f9549f73ac5e3c642e0bd724616ee185-r1"
is_byokfalse
latency948
model_permaslug"qwen/qwen3.8-27b-20260814"
provider_name"Parasail"
status200
total_cost0.0287544
cache_discount(null)
upstream_inference_cost0
provider_name"Parasail"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags10
adverbTagCount1
adverbTags
0"he said quietly [quietly]"
dialogueSentences25
tagDensity0.4
leniency0.8
rawRatio0.1
effectiveRatio0.08
96.88% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1605
totalAiIsmAdverbs1
found
0
adverb"slowly"
count1
highlights
0"slowly"
100.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found(empty)
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
78.19% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1605
totalAiIsms7
found
0
word"footsteps"
count2
1
word"echoed"
count1
2
word"warmth"
count1
3
word"pulse"
count1
4
word"could feel"
count1
5
word"unreadable"
count1
highlights
0"footsteps"
1"echoed"
2"warmth"
3"pulse"
4"could feel"
5"unreadable"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"air was thick with"
count1
highlights
0"The air was thick with"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences108
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences108
filterMatches
0"watch"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences123
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen42
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1604
ratio0
matches(empty)
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
totalMentions53
wordCount1384
uniqueNames18
maxNameDensity0.94
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Camden"
discoveredNames
Raven5
Nest5
Old1
Compton1
Street1
Charing1
Cross1
Road1
Camden4
Market3
Met1
Herrera1
Tube2
Saint1
Christopher1
Tomás9
Quinn13
Veil2
persons
0"Raven"
1"Nest"
2"Market"
3"Herrera"
4"Saint"
5"Christopher"
6"Tomás"
7"Quinn"
places
0"Old"
1"Compton"
2"Street"
3"Charing"
4"Cross"
5"Road"
6"Veil"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences82
glossingSentenceCount1
matches
0"looked like roots, like veins, like the o"
75.31% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches2
per1kWords1.247
wordCount1604
matches
0"not angry but bored, the way a butcher looks at a dog at its door"
1"not with movement but with attention"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount2
totalSentences123
matches
0"know that panic"
1"knew that voice"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs46
mean34.87
std34.02
cv0.976
sampleLengths
0122
158
22
393
477
58
686
749
875
95
1017
1110
1247
132
14133
1573
1613
1715
188
1930
202
217
2213
2316
247
2564
2664
273
283
2941
3048
3111
326
332
3453
3585
367
3746
387
3920
4047
413
4270
4327
4410
4519
92.27% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences108
matches
0"been locked"
1"was gone"
2"was rolled"
3"was gone"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs208
matches
0"was pouring"
1"was kneeling"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount0
flaggedSentences1
totalSentences123
ratio0.008
matches
0"The smell changed as she descended—wet concrete, diesel, and something else, something sweet and metallic, like ozone trapped in a jar."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1393
adjectiveStacks0
stackExamples(empty)
adverbCount32
adverbRatio0.02297200287150036
lyAdverbCount5
lyAdverbRatio0.003589375448671931
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences123
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences123
mean13.04
std8.95
cv0.686
sampleLengths
018
140
228
315
48
513
611
718
817
912
102
114
124
1329
1414
1524
168
1710
1829
193
2015
219
2221
238
2435
2523
2628
275
287
2910
3027
316
326
331
346
359
362
3716
382
394
402
4121
425
4317
4410
4529
462
4716
482
4924
44.72% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats15
diversityRatio0.34146341463414637
totalSentences123
uniqueOpeners42
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences98
matches
0"Somewhere below, her footsteps echoed"
1"Then his jaw tightened."
2"Somewhere in the market, a"
ratio0.031
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount28
totalSentences98
matches
0"It was the look of"
1"It had come out of"
2"She did not shout."
3"She did not draw."
4"She let her eyes track"
5"She moved with military precision,"
6"Her leather watch on her"
7"He was not."
8"Her phone had one bar,"
9"She thought about calling it"
10"She had not written it"
11"She had dismissed it as"
12"Her sleeve was rolled up,"
13"His hand hovered over her"
14"He looked up."
15"She stepped closer, her coat"
16"He rose slowly, his knees"
17"His posture was careful, the"
18"His eyes met hers, and"
19"He looked down at the"
ratio0.286
72.24% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount76
totalSentences98
matches
0"The green neon of the"
1"Quinn stood on the pavement"
2"The next, the man in"
3"The look on his face"
4"It was the look of"
5"Quinn’s hand went to her"
6"It had come out of"
7"She did not shout."
8"She did not draw."
9"She let her eyes track"
10"She moved with military precision,"
11"Rain ran in cold lines"
12"Her leather watch on her"
13"The man turned down a"
14"He was not."
15"Quinn reached it first, shouldered"
16"The smell changed as she"
17"A service corridor opened between"
18"The man was gone, but"
19"Quinn stopped at the gate."
ratio0.776
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences98
matches
0"To the evidence bag."
1"To the token."
ratio0.02
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences56
technicalSentenceCount3
matches
0"Quinn stood on the pavement outside the bar, collar up, rain hammering the salt-and-pepper crop of her hair, and watched the suspect come out of the side exit w…"
1"The man turned down a narrow passage between two buildings with no name on them, except a faded stenciled number and a fire door that should have been locked."
2"Quinn knew that voice from a mug shot, from a suspended license file, from the one name that had kept surfacing in the margin notes of her case board."
25.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags10
uselessAdditionCount2
matches
0"She stepped, her coat dripping onto the platform"
1"Quinn said, and her voice was flat, the flatness of a woman holding a cracked line of thought together with nothing but discipline"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount0
fancyTags(empty)
dialogueSentences25
tagDensity0.24
leniency0.48
rawRatio0
effectiveRatio0
92.8206%