Run: 2026-09-03-01M1KXYC7HHNHXNFE1S7SH5JPK

Run Details

Duration:
3m 39s
Cost:
$0.031964
Provider:
Tencent

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 rain came down in sheets, hammering the bonnet of Quinn's unmarked car and turning the green neon sign above The Raven's Nest into a smeared halo. The sign was the only true color on the street, a sickly emerald that bled into the flooded gutters and turned the rain to glowing slime. Detective Harlow Quinn sat behind the wheel, engine off, wipers stilled, and checked the time on the worn leather watch strapped to her left wrist. One forty-seven in the morning. The leather was soft from eighteen years of service, most of them decorated, all of them leading to this damp patch of Soho. Through the bar's front window she could see the interior: dimly lit, the walls covered with old maps and black-and-white photographs, a handful of late drinkers hunched at the counter. Somewhere behind those walls, behind a bookshelf in the back, was a hidden room where the clique held its clandestine meetings. Quinn's sharp jaw tightened. She had been watching the Nest for six hours. Her brown eyes burned with fatigue, but her posture remained straight, military precision in the set of her shoulders. She had learned long ago that stillness was a kind of weapon. The door opened. Amber light spilled onto the wet pavement. A man stepped out, shoulders hunched against the downpour, and Quinn went still in a different way. Tomás Herrera. Twenty-nine, five ten, with short curly dark brown hair already plastered to his olive skin. A Saint Christopher medallion glinted at the hollow of his throat as he turned his head, checking the street. When he pushed a wet curl back from his forehead, the scar running along his left forearm stood out, a pale seam from a knife attack years ago. He had the lean build of a runner, but there was a tension in him now, a coiled fear. Quinn knew his file. Seville-born, former paramedic. He had come to London to work for the NHS and lost his license after administering unauthorized treatments to patients whose symptoms didn't belong in any textbook. Now he patched up the clique off the books, stitching wounds that shouldn't have existed and asking no questions. He was the thread that would unravel them, if she could just get her hands on him. Then Tomás looked straight at her car. For a heartbeat neither of them moved. The rain filled the space between them like static. Quinn saw his warm brown eyes widen, saw the medallion jerk as he sucked in a breath, and then he bolted. Quinn was out of the car in one motion, her door slamming open. "Metropolitan Police! Herrera! Stop!" She didn't wait to see if he obeyed. He was already running, sneakers slapping through puddles, heading north up the slick canyon of the street. Quinn drove after him, boots finding purchase on the wet pavement. At five nine she was only an inch shorter than him, but where he ran with the frantic energy of the hunted, she ran with economy, every stride placed, her breathing measured. The chase had begun. He cut left into an alley narrow enough that the green neon from the Nest still painted the bricks at its mouth. Quinn followed, shoulder clipping an overflowing bin. The alley dumped them onto a wider road; a black cab swerved, horn blaring, tires hissing through the flood. Tomás didn't break stride. He darted between the cab and a delivery van, the headlights washing over the scar on his forearm as he raised a hand to shield his eyes. Quinn followed a half-second later, the van's wash soaking her trousers to the knee. "Police! Stop running!" she shouted again, but the rain swallowed most of it. Pedestrians scattered, umbrellas blooming and collapsing. Tomás knocked somebody's umbrella aside, ignored the curse, and vaulted a low railing into a small park. Quinn took the railing in the same place, her longer stride eating the distance between them. He was fast, but he was running blind, panic chewing at his heels; she was running on training and a cold, patient anger. The chase carried them out of Soho. Neon gave way to the dim orange glow of streetlamps, then to the gray brick and shuttered shopfronts of Bloomsbury, past wet posters peeling under the rain and a kebab shop's greasy glow. The rain never let up. It drilled into Quinn's cropped salt-and-pepper hair and ran in cold lines down her sharp jaw. Her watch read two-oh-two when she lost him for the first time, in the maze of terraces behind a university building. She slowed to a walk, chest heaving, and listened past the drumming water. Somewhere a dog barked. A car alarm warbled and died. Then, faint as a pulse, the slap of running shoes on wet stone. She found the rhythm again and followed it north, through the wet reek of Camden, past bars still disgorging music and drunks, past stalls shuttered for the night. Her legs burned. The military part of her mind noted the discomfort and filed it away. She had been chasing this thread for three years, ever since DS Morris had died in a way the pathologist couldn't explain, in a room that smelled of ozone and copper, with a look on his face that still woke her at night. She didn't understand what had killed him. She didn't understand the things moving in the dark corners of this city. But she knew the clique did, and Tomás Herrera, ex-paramedic to creatures that should not exist, was her way in. She caught sight of him again on a wide road near the canal. He was limping now, the scarred forearm clutched to his chest, the Saint Christopher medallion bouncing against his collarbone. The full moon hung bloated and pale above the rooftops, leaching what little color the night had left. Quinn remembered the briefing: the Veil Market moved locations every full moon. Tonight, under this moon, it sat in the abandoned Tube station beneath Camden. A hidden supernatural black market, peddling enchanted goods, banned alchemical substances, and information to anyone with the right price. Entry required a bone token. Tomás was making for it. He cut through a gap in a chain-link fence, onto a patch of waste ground choked with buddleia and broken glass. At the far side, half-swallowed by hoardings, was a flight of concrete steps descending into darkness. A faded sign read CAMDEN—CLOSED, the letters nearly rusted away. The entrance to the abandoned Tube station. The air coming up from those steps didn't smell like the rest of London. It smelled of old dust, cold iron, and something sharp, like the inside of a battery. It raised the fine hairs on Quinn's arms. Tomás ran down the steps and fumbled in his jacket pocket. He pulled out a bone token—a pale, yellowed sliver of bone incised with tight spirals that seemed to shift when the light didn't hold still—and pressed it to a plate set into the rusted gate at the bottom. The lock gave a sound like a knuckle cracking. The gate swung inward on a throat of blackness. Tomás hesitated on the threshold, rain plastering his curls to his skull, and looked back up the steps. Quinn took the last few meters at a sprint and hit the top of the concrete steps as the gate below began to grind shut. Rain sheeted off her, streaming from her watch, from her jaw. Their eyes met. His warm brown eyes were wide, and she could have sworn there was apology in them, or maybe just the recognition of a man who knows he's about to lead a wolf into a den. Then he turned and slipped inside. The gate began to close. At the bottom of the steps, the gap in the gate narrowed to a hand's width. A figure shifted behind the grate—a gatekeeper, face lost in shadow. A voice, disinterested and flat, rose from the dark. "Token." Quinn had no token. She started down the steps, warrant card raised, and slapped it against the rusted bars. "Detective Quinn, Metropolitan Police. Step aside." The figure didn't move. The gate kept closing. Through the shrinking gap Quinn saw the glow of the bone token slot, saw the tunnel mouth beyond, and caught the faint gleam of Tomás's medallion as he vanished into the dark. The cold breath of the station rolled up to meet her, carrying that same electric wrongness she had felt the night Morris died. Three years. Three years of not understanding, of hitting walls, of suspects who smiled and files that dissolved. Her radio would be dead down there. Backup was minutes away and wouldn't know where to look. She had no bone token, no idea what waited in the Veil Market, and every instinct hammered that this was unfamiliar and potentially fatal ground. The Market would be gone by the next moon, maybe by dawn. Tomás would be gone with it, and the clique would close ranks, and Morris would stay a question she could never answer. Down at the bottom, the gap was a fist's width now, then less. The gatekeeper's shadow shifted, expectant. Quinn's left hand found the worn leather watch on her wrist, the leather supple as skin. Two-eleven in the morning. She made her decision. Quinn didn't shout, didn't bluff. She dropped her shoulder and drove it into the narrowing gap, the warrant card still clenched in her right hand. The gatekeeper shouted something sharp and started forward, but Quinn was already through, boots hitting the tunnel floor as the gate clanged shut behind her. The sound was enormous, final, a door closing on the world she knew. Darkness swallowed her. The air was colder here, thick with the smells of damp brick, alchemical smoke, and old blood. Somewhere ahead, faint and fading, she heard the echo of Tomás's footsteps hurrying deeper into the Veil Market. Her left hand touched the worn leather watch on her wrist, grounding herself, and she set off after him, into the unknown.
created_at"2026-09-03T15:24:35.451Z" 9/3/2026, 3:24:35 PM
model"tencent/hy4-preview-20260827"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1483
moderation_latency(null)
generation_time218677
tokens_prompt888
tokens_completion13992
native_tokens_prompt839
native_tokens_completion12744
native_tokens_completion_images(null)
native_tokens_reasoning10571
native_tokens_cached768
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)
usage0.031964214
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788449075-64eeeptlOikpd4iPVg6G"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788449075-047tj1JOedPdriDjP3Rs"
upstream_id"2ac7d17a-6c5c-4e13-85ca-06aeef393693"
provider_responses
0
endpoint_id"ad2a4093-3d2a-41d9-adf1-8b499ac8445d"
id"2ac7d17a-6c5c-4e13-85ca-06aeef393693"
is_byokfalse
latency1482
model_permaslug"tencent/hy4-preview-20260827"
provider_name"Tencent"
status200
total_cost0.031964214
cache_discount0.000608256
upstream_inference_cost0
provider_name"Tencent"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
0.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags2
adverbTagCount1
adverbTags
0"she shouted again [again]"
dialogueSentences4
tagDensity0.5
leniency1
rawRatio0.5
effectiveRatio0.5
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1681
totalAiIsmAdverbs0
found(empty)
highlights(empty)
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)
73.23% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1681
totalAiIsms9
found
0
word"clandestine"
count1
1
word"tension"
count1
2
word"unravel"
count1
3
word"measured"
count1
4
word"pulse"
count1
5
word"streaming"
count1
6
word"electric"
count1
7
word"echo"
count1
8
word"footsteps"
count1
highlights
0"clandestine"
1"tension"
2"unravel"
3"measured"
4"pulse"
5"streaming"
6"electric"
7"echo"
8"footsteps"
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
narrationSentences116
matches(empty)
44.33% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount5
hedgeCount3
narrationSentences116
filterMatches
0"watch"
hedgeMatches
0"seemed to"
1"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences118
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen43
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1677
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions6
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions62
wordCount1663
uniqueNames17
maxNameDensity1.2
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Quinn20
Raven1
Nest3
Harlow1
Soho2
Herrera2
Saint2
Christopher2
London2
Tomás11
Pedestrians1
Bloomsbury1
Camden2
Morris3
Veil3
Market4
Tube2
persons
0"Quinn"
1"Raven"
2"Harlow"
3"Herrera"
4"Saint"
5"Christopher"
6"Tomás"
7"Pedestrians"
8"Camden"
9"Morris"
10"Market"
places
0"Soho"
1"London"
2"Veil"
globalScore0.899
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences92
glossingSentenceCount1
matches
0"spirals that seemed to shift when the light didn't hold still—and pressed it to a plate set into the rusted gate at the bottom"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1677
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences118
matches
0"hammered that this"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs26
mean64.5
std38.3
cv0.594
sampleLengths
0106
195
23
3107
470
57
637
789
893
975
10118
11127
1299
135
1492
1585
1685
1736
181
1925
2081
2176
2238
234
2463
2560
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences116
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs268
matches
0"was already running"
1"was running"
2"was limping"
3"was making"
21.79% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount2
flaggedSentences5
totalSentences118
ratio0.042
matches
0"The alley dumped them onto a wider road; a black cab swerved, horn blaring, tires hissing through the flood."
1"He was fast, but he was running blind, panic chewing at his heels; she was running on training and a cold, patient anger."
2"A faded sign read CAMDEN—CLOSED, the letters nearly rusted away."
3"He pulled out a bone token—a pale, yellowed sliver of bone incised with tight spirals that seemed to shift when the light didn't hold still—and pressed it to a plate set into the rusted gate at the bottom."
4"A figure shifted behind the grate—a gatekeeper, face lost in shadow."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1680
adjectiveStacks0
stackExamples(empty)
adverbCount39
adverbRatio0.023214285714285715
lyAdverbCount7
lyAdverbRatio0.004166666666666667
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences118
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences118
mean14.21
std8.82
cv0.621
sampleLengths
027
126
225
35
423
530
621
74
89
919
1012
113
127
1317
142
1515
1619
1728
1819
194
203
2127
2219
2317
247
257
269
2721
2813
2912
3017
3111
3232
334
3422
357
3619
374
3827
3914
4013
416
4217
4316
4423
457
4633
475
4816
4921
41.53% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats11
diversityRatio0.3050847457627119
totalSentences118
uniqueOpeners36
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount6
totalSentences114
matches
0"Somewhere behind those walls, behind"
1"Then Tomás looked straight at"
2"Somewhere a dog barked."
3"Then, faint as a pulse,"
4"Then he turned and slipped"
5"Somewhere ahead, faint and fading,"
ratio0.053
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount34
totalSentences114
matches
0"She had been watching the"
1"Her brown eyes burned with"
2"She had learned long ago"
3"He had the lean build"
4"He had come to London"
5"He was the thread that"
6"She didn't wait to see"
7"He was already running, sneakers"
8"He cut left into an"
9"He darted between the cab"
10"she shouted again, but the"
11"He was fast, but he"
12"It drilled into Quinn's cropped"
13"Her watch read two-oh-two when"
14"She slowed to a walk,"
15"She found the rhythm again"
16"Her legs burned."
17"She had been chasing this"
18"She didn't understand what had"
19"She didn't understand the things"
ratio0.298
47.72% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount94
totalSentences114
matches
0"The rain came down in"
1"The sign was the only"
2"Detective Harlow Quinn sat behind"
3"The leather was soft from"
4"Quinn's sharp jaw tightened."
5"She had been watching the"
6"Her brown eyes burned with"
7"She had learned long ago"
8"The door opened."
9"Amber light spilled onto the"
10"A man stepped out, shoulders"
11"A Saint Christopher medallion glinted"
12"He had the lean build"
13"Quinn knew his file."
14"Seville-born, former paramedic."
15"He had come to London"
16"He was the thread that"
17"The rain filled the space"
18"Quinn saw his warm brown"
19"Quinn was out of the"
ratio0.825
43.86% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences114
matches
0"Now he patched up the"
ratio0.009
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences73
technicalSentenceCount2
matches
0"Now he patched up the clique off the books, stitching wounds that shouldn't have existed and asking no questions."
1"His warm brown eyes were wide, and she could have sworn there was apology in them, or maybe just the recognition of a man who knows he's about to lead a wolf in…"
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount1
matches
0"she shouted again, but the rain swallowed most of it"
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount1
fancyTags
0"she shouted again (shout)"
dialogueSentences4
tagDensity0.25
leniency0.5
rawRatio1
effectiveRatio0.5
78.5265%