Run: 2026-09-02-01M1H596XDTJ287G0ZGVDHMA4D

Run Details

Duration:
58.8s
Cost:
$0.000422
Provider:
Z.AI

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 gray sheets, turning Soho's neon into smeared watercolors against the dark. Detective Harlow Quinn ran with her coat flapping behind her, boots splashing through puddles that reflected the green glow of a sign she knew too well — The Raven's Nest — as the suspect vaulted a rack of A-boards outside a shuttered kebab shop and disappeared down Frith Street. She'd picked him up outside the Nest an hour ago. Silas' doorman, the barman with the nervous hands, whoever he was — late twenties, olive-skinned, curly dark hair plastered to his forehead now, a thin gold chain bouncing against his chest as he ran. She'd made him three weeks ago, ferrying packages in and out of the green neon at hours when honest people slept. Tonight he'd finally given her a reason to chase. "Police!" The word bounced off wet brick and came back hollow. Nobody in Soho answered to it at this hour. He cut left at the phone box, through an alley so narrow she had to turn her shoulders sideways. Bin bags split under her boots, releasing the sweet rot of discarded takeaways. Ahead, his footsteps slapped against wet stone, quick and rhythmic — a runner's cadence, she noted, or someone who'd done a lot of running in his life. Then the alley opened onto the litter-strewn mouth of the old Camden cut, and the chain-link gate that had been welded shut since the nineties stood ajar, swinging. Quinn slowed at the threshold. Her left hand found her torch; her right rested on the radio at her shoulder. "Control, Quinn. Pursuit on foot, suspect entered the disused station beneath Camden High Street. Requesting backup." Static answered her, thick and dead, the way it always did down here. Three years, and she still hadn't learned. She clipped the radio anyway and looked into the dark. The stairs descended in a spiral of green-painted concrete, the kind of institutional color that had probably looked cheerful in 1965. Water trickled down the steps in thin braids, and her torch beam caught the discarded detritus of decades — a child's shoe, crisp packets, a bicycle frame fused to the wall by rust. The air coming up from below smelled wrong. Not damp, exactly, not sewage. It smelled like ozone and something sweeter underneath, like flowers rotting in a vase. Tomás — she had the name now, pulled it from a file the moment her memory clicked, a paramedic struck off the register two years back, a Herrera, Seville-born, some scandal about unauthorized treatment — Tomás was below her, his footsteps echoing off tiled walls that still wore the ghost of advertising posters. Quinn stood at the top of the stairs and let the rain hammer the back of her neck. Everything in her said wait. Backup, torches, dogs, the methodical sweep of a trained team. Eighteen years of procedure whispered in her ear the way her old governor used to: The job rewards patience, Harlow. The job punishes heroes. But the job had also buried DS Morris three years ago, in a case file that still didn't make sense, and the last known address connected to that file — the address she'd never been able to explain to her superintendent — had a green neon sign above its door. She clicked the torch to its narrowest beam and started down. The stairs gave onto the platform of the dead station. Her light swept across peeling cream tiles, a rusted bench, the black mouth of the tunnel where the trains used to run. And then, impossibly, light. Candlelight, dozens of flames, dancing at the far end of the platform where the tunnel should have swallowed into darkness. Quinn killed her torch and moved along the wall, one hand trailing the cold tile. Her breath came slow and controlled, the way she'd learned in her brief, mercifully distant army years. Beneath her feet, the concrete was warm. She noticed that with a dull, animal unease and chose not to think about it. The sound reached her first: voices. Dozens of them, layered, a market's murmur — haggling, laughter, a child's complaint cut short by a parent's hiss. Where the tunnel bent, a pair of gates had been set into the arch, wrought iron, ornate, absolutely impossible, because she had walked this station's blueprints six times and there was nothing beyond that bend but four hundred meters of flooded bore. A figure hung at the gates. Old woman, shawled, holding out her palm to Quinn without looking up. "Token," the woman said. Her voice sounded like paper burning. "I'm police. A suspect just came through here." "He paid." The hand didn't waver. "Bone token. You have nothing, so you are nothing, so you will walk back up the stairs and forget." Quinn looked past her. Through the bars, the tunnel opened into a cavern that had no business existing beneath Camden — vaulted, vast, strung with lanterns, stalls crowding the space like the pit of some theater. She could see silk and smoke, jars of things that moved, a butcher's counter displaying cuts of meat in colors meat should never be. And there, thirty meters in, ducking between stalls, the bounce of a gold chain and a Saint Christopher medallion catching candlelight. Herrera turned. Their eyes met through the bars. He had a split lip where he'd clipped himself on the gate, and his face — she catalogued it automatically — wasn't the face of a man relieved to have escaped. It was the face of a man who wished she hadn't followed him. "Detective," he called, and his accent curled the word soft. "You do not want to come in here. Believe me. Please." "Then come out and talk to me, Tommy. You're not my killer. You're a witness. I know about the Nest. I know about the packages." Something moved behind his eyes — calculation, then surrender to some private decision. He glanced left and right, then back at her. "The ones I work for. The things they move through here." He swallowed. "Your partner. Morris. You want to know about Morris? The answer is in here, not out there." The old woman's hand stayed extended, patient as stone. Quinn's fingers closed around the torch in her pocket. Her radio was dead. Her backup was twenty minutes out, maybe more, and by then whatever this was would have folded up and moved — she could feel it in the warm concrete under her boots, in the wrongness of the air. The job rewards patience. The job punishes heroes. And Morris had been patient, right up until the night the file went dark. She reached for her warrant card, held it up to the old woman, and said, "I'll trade you something better than bone." The woman's eyes, for the first time, focused on her face. Then, slowly, the gates began to open.
created_at"2026-09-02T13:35:07.19Z" 9/2/2026, 1:35:07 PM
model"z-ai/glm-5.3-flash-20260826"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4358
moderation_latency(null)
generation_time58747
tokens_prompt888
tokens_completion1672
native_tokens_prompt819
native_tokens_completion1474
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached128
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)
usage0.000422245
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788356107-UoDsQ6BaME7Gjb6xs5Kv"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788356107-8MSzpLd11WFpVkbDgRHI"
upstream_id"202609022135074581453f6bef4727"
provider_responses
0
endpoint_id"8e9fe48b-2f91-41c3-a8a7-e4a93a8c4ff0"
id"202609022135074581453f6bef4727"
is_byokfalse
latency4358
model_permaslug"z-ai/glm-5.3-flash-20260826"
provider_name"Z.AI"
status200
total_cost0.000422245
cache_discount0.00001536
upstream_inference_cost0
provider_name"Z.AI"
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
totalTags7
adverbTagCount0
adverbTags(empty)
dialogueSentences12
tagDensity0.583
leniency1
rawRatio0
effectiveRatio0
95.61% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1140
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)
60.53% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1140
totalAiIsms9
found
0
word"footsteps"
count2
1
word"rhythmic"
count1
2
word"echoing"
count1
3
word"methodical"
count1
4
word"dancing"
count1
5
word"absolutely"
count1
6
word"silk"
count1
7
word"could feel"
count1
highlights
0"footsteps"
1"rhythmic"
2"echoing"
3"methodical"
4"dancing"
5"absolutely"
6"silk"
7"could feel"
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
narrationSentences67
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences67
filterMatches(empty)
hedgeMatches
0"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences73
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen52
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1155
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions28
wordCount1002
uniqueNames15
maxNameDensity0.7
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Soho2
Harlow2
Quinn7
Raven1
Nest2
Frith1
Street1
Camden2
Three1
Herrera2
Seville-born1
Tomás2
Morris2
Saint1
Christopher1
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Camden"
4"Herrera"
5"Tomás"
6"Morris"
7"Saint"
8"Christopher"
places
0"Soho"
1"Nest"
2"Frith"
3"Street"
4"Seville-born"
globalScore1
windowScore1
57.41% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences54
glossingSentenceCount2
matches
0"smelled like ozone and something sweeter u"
1"sounded like paper burning"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1155
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences73
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs28
mean41.25
std24.85
cv0.602
sampleLengths
065
174
220
387
420
546
681
753
818
939
1050
1111
1256
1354
1467
1518
1610
178
1825
1981
2052
2121
2225
2352
249
2573
2622
2718
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences67
matches
0"been welded"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs162
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount14
semicolonCount1
flaggedSentences11
totalSentences73
ratio0.151
matches
0"Detective Harlow Quinn ran with her coat flapping behind her, boots splashing through puddles that reflected the green glow of a sign she knew too well — The Raven's Nest — as the suspect vaulted a rack of A-boards outside a shuttered kebab shop and disappeared down Frith Street."
1"Ahead, his footsteps slapped against wet stone, quick and rhythmic — a runner's cadence, she noted, or someone who'd done a lot of running in his life."
2"Her left hand found her torch; her right rested on the radio at her shoulder."
3"Water trickled down the steps in thin braids, and her torch beam caught the discarded detritus of decades — a child's shoe, crisp packets, a bicycle frame fused to the wall by rust."
4"Tomás — she had the name now, pulled it from a file the moment her memory clicked, a paramedic struck off the register two years back, a Herrera, Seville-born, some scandal about unauthorized treatment — Tomás was below her, his footsteps echoing off tiled walls that still wore the ghost of advertising posters."
5"But the job had also buried DS Morris three years ago, in a case file that still didn't make sense, and the last known address connected to that file — the address she'd never been able to explain to her superintendent — had a green neon sign above its door."
6"Dozens of them, layered, a market's murmur — haggling, laughter, a child's complaint cut short by a parent's hiss."
7"Through the bars, the tunnel opened into a cavern that had no business existing beneath Camden — vaulted, vast, strung with lanterns, stalls crowding the space like the pit of some theater."
8"He had a split lip where he'd clipped himself on the gate, and his face — she catalogued it automatically — wasn't the face of a man relieved to have escaped."
9"Something moved behind his eyes — calculation, then surrender to some private decision."
10"Her backup was twenty minutes out, maybe more, and by then whatever this was would have folded up and moved — she could feel it in the warm concrete under her boots, in the wrongness of the air."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount171
adjectiveStacks0
stackExamples(empty)
adverbCount4
adverbRatio0.023391812865497075
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences73
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences73
mean15.82
std11.52
cv0.728
sampleLengths
016
149
210
334
421
59
611
79
819
913
1027
1128
125
1315
1429
157
1610
1721
1833
198
205
2114
2253
2318
245
2510
2620
274
2850
2911
3010
3122
324
3320
3415
3517
367
3715
386
3919
4042
416
4212
434
446
458
466
4719
484
4932
86.30% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.5342465753424658
totalSentences73
uniqueOpeners39
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences65
matches
0"Then the alley opened onto"
1"Then, slowly, the gates began"
ratio0.031
96.92% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount20
totalSentences65
matches
0"She'd picked him up outside"
1"She'd made him three weeks"
2"He cut left at the"
3"Her left hand found her"
4"She clipped the radio anyway"
5"It smelled like ozone and"
6"She clicked the torch to"
7"Her light swept across peeling"
8"Her breath came slow and"
9"She noticed that with a"
10"Her voice sounded like paper"
11"She could see silk and"
12"Their eyes met through the"
13"He had a split lip"
14"It was the face of"
15"he called, and his accent"
16"He glanced left and right,"
17"Her radio was dead."
18"Her backup was twenty minutes"
19"She reached for her warrant"
ratio0.308
67.69% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount51
totalSentences65
matches
0"The rain came down in"
1"Detective Harlow Quinn ran with"
2"She'd picked him up outside"
3"She'd made him three weeks"
4"Tonight he'd finally given her"
5"The word bounced off wet"
6"Nobody in Soho answered to"
7"He cut left at the"
8"Bin bags split under her"
9"Quinn slowed at the threshold."
10"Her left hand found her"
11"Static answered her, thick and"
12"She clipped the radio anyway"
13"The stairs descended in a"
14"Water trickled down the steps"
15"The air coming up from"
16"It smelled like ozone and"
17"Tomás — she had the"
18"Quinn stood at the top"
19"Everything in her said wait."
ratio0.785
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences65
matches(empty)
ratio0
27.03% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences37
technicalSentenceCount6
matches
0"Detective Harlow Quinn ran with her coat flapping behind her, boots splashing through puddles that reflected the green glow of a sign she knew too well — The Ra…"
1"Ahead, his footsteps slapped against wet stone, quick and rhythmic — a runner's cadence, she noted, or someone who'd done a lot of running in his life."
2"Then the alley opened onto the litter-strewn mouth of the old Camden cut, and the chain-link gate that had been welded shut since the nineties stood ajar, swing…"
3"The stairs descended in a spiral of green-painted concrete, the kind of institutional color that had probably looked cheerful in 1965."
4"Through the bars, the tunnel opened into a cavern that had no business existing beneath Camden — vaulted, vast, strung with lanterns, stalls crowding the space …"
5"She could see silk and smoke, jars of things that moved, a butcher's counter displaying cuts of meat in colors meat should never be."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags7
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount0
fancyTags(empty)
dialogueSentences12
tagDensity0.25
leniency0.5
rawRatio0
effectiveRatio0
86.3831%