Run: 2026-09-02-01M1GTMB7YYSE3083HPEEQ1CF0

Run Details

Duration:
4m 51s
Cost:
$0.002391
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 green neon above the Raven's Nest bled its light into the rain until the whole doorway looked bruised, and Detective Harlow Quinn had been watching it bleed for two hours and forty minutes. She stood in a pitch-dark doorway across the street with her collar up and her breathing measured, thinking what she always thought: that a bar with old maps on the walls and photographs of men nobody could name should not still have its lights on at two in the morning. She had been inside the Nest once, the week before, nursing a tonic water for an hour. She had counted the exits, marked the camera above the till that wasn't wired to anything, and noted the bookshelf at the back that no customer ever pulled a book from. Everything about the place was a sentence with the verb missing. Tomás Herrera came out at 2:03. He came out fast, a canvas bag strapped across his body, and though the awning swallowed most of him she caught a shine on his sleeve that the rain couldn't account for. Not rain. Rain didn't streak. She gave him ten yards, then stepped into the light. "Tomás Herrera. Metropolitan Police. I'd like a word." He turned — a young face under dark curls, olive skin gone grey in the neon, warm brown eyes going flat with something worse than guilt — and he ran. "Police!" she called, and the rain ate the word. He went down Old Compton Street like water finding a drain, cutting left into Wardour, and Quinn ran. He ran well for a man who spent his nights bent over other people's wounds; better than well. He ran like a man who had been chased before. He checked his sightlines without turning his head, took the corner wide to see around it, never looked back at the same interval twice. She read his gait the way other people read handwriting. The bag rode high against his chest. He was protecting the bag, not himself. That told her more than a warrant ever had. Oxford Street was a river of dead crossings and black shopfronts. A night bus hissed past close enough to slap them both with spray, and Herrera was already through the gap, north up Tottenham Court Road, past storefronts like drawn teeth. Somewhere behind them a shuttered shop's clock said 2:19. Quinn's breath had gone to iron and the stitch arrived just under her ribs where it always did, and she ran through it. She hadn't called it in. Eighteen years, decorated twice, commended once for something she was never allowed to discuss, and she was tailing a suspect alone through a drowned city like a probationer with something to prove — because the last time she'd handed her theory up the chain, it had come back down with her partner's name on the casualty list and a report full of words like unexplained. Morris. Three years gone, and no file she could close, and a bottom drawer full of questions the Met had stopped wanting answered. Herrera glanced back at the Euston Road crossing and shouted over the rain, "Detective — please. Not tonight!" "Then stop!" she shouted back. "Tonight, people bleed if I'm late!" And he was gone again, over the crossing against the lights, forcing a taxi to stand on its brakes and curse him in three languages. People bleed if I'm late. Herrera, Tomás. Twenty-nine. Seville. Former paramedic, struck off the register for treatments a disciplinary panel had described, in the driest language available to it, as medically impossible. She had read the file four times. Every page of it was a locked door. Her knees were forty-one years old and the rain had found the back of her collar, running in a cold line down her spine, and still she gained — because he wasn't running free anymore. He was running toward something. She could tell by the way his pace had changed over the last half mile, less flight than navigation, each turn chosen a half-block early. He was going somewhere he had been before, somewhere he believed she would not follow. Camden came up around them in pieces — the canal's green stink, a club leaking bass through a fire door, the high street slicked with light. Herrera cut left, abruptly, through a gap in a plywood hoarding she would have missed at any other speed, and as she squeezed through after him she saw the ghost letters on the brickwork behind it, tile by tile, furred with a century of soot. SOUTH KENTISH TOWN. "Not down there," Herrera said, and now he was close, backed against the mouth of a stairwell, chest heaving, one hand pressed flat over the medallion at his throat. "Listen to me. Whatever you think you know — not down there." "Hands where I can see them, Tomás." "Please." His voice cracked on it. Then he looked at something over her shoulder — the dark, the rain, the ordinary, indifferent street — and made a decision of his own, and went down the stairs into the earth, and the dark took him the way water takes a stone. Quinn stood at the top and did not move for three full breaths. The stairwell breathed warm air up at her. That was the first wrong thing; the station had been dead since before the war. The second was the stairs themselves — dust above, swept below, the treads worn pale and clean, small chalk marks at each landing, tallies in a hand older than her grandmother. The third was the smell rising out of the ground: wet stone and tallow and, impossibly, roasting chestnuts. Somewhere below, a turnstile clicked. She went down. The steps ended at a gate she had no business seeing — a rusted turnstile of black iron under a hooded lantern, and beside it a figure in an oilskin coat holding a shallow bowl of small pale chips. Herrera stood at the gate, breathing hard, digging in his pocket. He produced one of the chips and set it in the figure's palm, and even from the shadows Quinn could see what it was now. Not ceramic. Not plastic. A little curved wedge of bone, yellow as a tooth, worn smooth by a thousand hands. The gatekeeper touched the turnstile. Along the closed shutter beyond it, a seam of light woke — pale as milk — and the shutter drew back on a platform that should have been dark for a hundred years. Herrera pressed his thumb to his lips, to the medallion hanging at his throat. "San Cristóbal," he breathed. "Dame la mano." And he stepped through, and the light closed behind him like water. Quinn crouched in the black of the stairwell and made herself do the arithmetic. No backup. No warrant that would stretch one inch past that turnstile. Her radio, when she lifted it, gave her static with a shape in it, almost like breathing. The market — and it was a market, she'd heard the word once, in a file she wasn't cleared to read — moved every full moon; whatever was down there would be gone by morning, unfindable, unprovable. Her suspect had just paid a toll in bone to enter a dead station, carrying a bag full of surgical kit, at two in the morning. Every instinct she had sharpened in eighteen years said walk away. Come back with numbers. Come back with daylight. And underneath all of it, quiet as a haemorrhage: Morris had gone somewhere like this, three years ago, and no one had followed him, and no one had ever brought him back. A knot of arrivals came down the stairs behind her — three of them, laughing low, steaming in the cold — and Quinn moved before she had finished deciding to, falling into their wake, close enough to be their shadow. The lantern swung toward her. The hood tilted. "No token." "I'm with them." "You're alone." The voice was dry as the bone in the bowl. "You have been alone since Soho." Quinn held the dark under the hood. Whatever looked back caught the lantern light and kept it. "Then I'll owe you," she said. A long pause. The gatekeeper's gaze dropped to her left wrist, to the worn leather strap of the watch, and the hood tilted again — a frown, or the shape of one, like a clerk recognising a familiar signature on a very old debt. "The Market keeps accounts," it said. "It always collects. Pass." The seam of light opened, and Quinn walked through. The platform had been turned inside out. Stalls ran its whole length under lanterns hung in cages of wire, and the crowd moved between them in suits and coats and things she filed, one by one, under fancy dress, research chemicals, exhaustion — right up until the filings stopped fitting. A woman sold lengths of black cloth off a rail, and the cloth moved when there was no draft. A man in a good overcoat walked past her and his shadow came a half-second behind him. She filed that under bad lighting and did not believe herself. Down the platform, forty yards, a canvas bag and a head of dark curls. Herrera, moving with purpose toward a stall at the far end, where something hung that she couldn't see from here for the press of bodies. Her phone was dead — not searching, not fading: dead, black, though it had held a full charge on the doorstep in Soho. Out of habit she turned her wrist to log the time for a report she would never be allowed to write, and stopped. The second hand stood still. 11:47. The strap, worn smooth by a wrist that hadn't been hers in three years. The watch that had kept perfect time since the funeral, that she checked every Sunday like a pulse. It sat dead on the exact minute she had read once, in the dry language of a coroner's report, and had never once been able to forget. Quinn looked up the platform, at the lantern light and the dark past the dark, where a man with a bag full of medicine had gone to pay for something in bone. "Right," she said softly — to herself, to Morris, to no one — and walked in.
created_at"2026-09-02T10:28:57.733Z" 9/2/2026, 10:28:57 AM
model"z-ai/glm-5.3-flash-20260826"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3012
moderation_latency(null)
generation_time290489
tokens_prompt888
tokens_completion10301
native_tokens_prompt819
native_tokens_completion9320
native_tokens_completion_images(null)
native_tokens_reasoning7184
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)
usage0.002391425
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788344937-4KYQyNiknEVxJuqSn1A1"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788344937-hguD65kVtJzqzKPkcAoX"
upstream_id"202609021828578a95270cb7504506"
provider_responses
0
endpoint_id"8e9fe48b-2f91-41c3-a8a7-e4a93a8c4ff0"
id"202609021828578a95270cb7504506"
is_byokfalse
latency3012
model_permaslug"z-ai/glm-5.3-flash-20260826"
provider_name"Z.AI"
status200
total_cost0.002391425
cache_discount(null)
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
0.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags11
adverbTagCount3
adverbTags
0"Herrera glanced back [back]"
1"she shouted back [back]"
2"she said softly — [softly ]"
dialogueSentences19
tagDensity0.579
leniency1
rawRatio0.273
effectiveRatio0.273
94.16% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1711
totalAiIsmAdverbs2
found
0
adverb"very"
count1
1
adverb"softly"
count1
highlights
0"very"
1"softly"
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)
85.39% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1711
totalAiIsms5
found
0
word"measured"
count1
1
word"down her spine"
count1
2
word"familiar"
count1
3
word"perfect"
count1
4
word"pulse"
count1
highlights
0"measured"
1"down her spine"
2"familiar"
3"perfect"
4"pulse"
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
narrationSentences103
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences103
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences110
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen64
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1733
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions11
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions43
wordCount1657
uniqueNames20
maxNameDensity0.6
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Raven1
Nest2
Detective1
Harlow1
Quinn10
Herrera9
Old1
Compton1
Street2
Wardour1
Tottenham1
Court1
Road2
Met1
Euston1
People1
Tomás2
Morris3
Soho1
Sunday1
persons
0"Raven"
1"Harlow"
2"Quinn"
3"Herrera"
4"Met"
5"People"
6"Tomás"
7"Morris"
8"Sunday"
places
0"Old"
1"Compton"
2"Street"
3"Wardour"
4"Tottenham"
5"Court"
6"Road"
7"Euston"
8"Soho"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences75
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1733
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount2
totalSentences110
matches
0"thought: that a"
1"hung that she"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs45
mean38.51
std33.62
cv0.873
sampleLengths
0143
143
210
38
430
59
6103
773
893
918
105
1131
1247
1380
1471
153
1641
177
1850
1913
2072
215
223
2395
2438
2533
2614
2792
2819
2932
3040
318
322
333
3418
3523
3654
379
3897
3939
4046
416
4259
4332
4416
95.04% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences103
matches
0"been chased"
1"was gone"
2"been turned"
65.05% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount5
totalVerbs247
matches
0"was protecting"
1"was tailing"
2"wasn't running"
3"was running"
4"was going"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount20
semicolonCount3
flaggedSentences16
totalSentences110
ratio0.145
matches
0"He turned — a young face under dark curls, olive skin gone grey in the neon, warm brown eyes going flat with something worse than guilt — and he ran."
1"He ran well for a man who spent his nights bent over other people's wounds; better than well."
2"Eighteen years, decorated twice, commended once for something she was never allowed to discuss, and she was tailing a suspect alone through a drowned city like a probationer with something to prove — because the last time she'd handed her theory up the chain, it had come back down with her partner's name on the casualty list and a report full of words like unexplained."
3"Her knees were forty-one years old and the rain had found the back of her collar, running in a cold line down her spine, and still she gained — because he wasn't running free anymore."
4"Camden came up around them in pieces — the canal's green stink, a club leaking bass through a fire door, the high street slicked with light."
5"Then he looked at something over her shoulder — the dark, the rain, the ordinary, indifferent street — and made a decision of his own, and went down the stairs into the earth, and the dark took him the way water takes a stone."
6"That was the first wrong thing; the station had been dead since before the war."
7"The second was the stairs themselves — dust above, swept below, the treads worn pale and clean, small chalk marks at each landing, tallies in a hand older than her grandmother."
8"The steps ended at a gate she had no business seeing — a rusted turnstile of black iron under a hooded lantern, and beside it a figure in an oilskin coat holding a shallow bowl of small pale chips."
9"Along the closed shutter beyond it, a seam of light woke — pale as milk — and the shutter drew back on a platform that should have been dark for a hundred years."
10"The market — and it was a market, she'd heard the word once, in a file she wasn't cleared to read — moved every full moon; whatever was down there would be gone by morning, unfindable, unprovable."
11"A knot of arrivals came down the stairs behind her — three of them, laughing low, steaming in the cold — and Quinn moved before she had finished deciding to, falling into their wake, close enough to be their shadow."
12"The gatekeeper's gaze dropped to her left wrist, to the worn leather strap of the watch, and the hood tilted again — a frown, or the shape of one, like a clerk recognising a familiar signature on a very old debt."
13"Stalls ran its whole length under lanterns hung in cages of wire, and the crowd moved between them in suits and coats and things she filed, one by one, under fancy dress, research chemicals, exhaustion — right up until the filings stopped fitting."
14"Her phone was dead — not searching, not fading: dead, black, though it had held a full charge on the doorstep in Soho."
15"\"Right,\" she said softly — to herself, to Morris, to no one — and walked in."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1642
adjectiveStacks0
stackExamples(empty)
adverbCount50
adverbRatio0.030450669914738125
lyAdverbCount5
lyAdverbRatio0.0030450669914738123
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences110
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences110
mean15.75
std12.9
cv0.819
sampleLengths
034
150
217
331
411
56
632
72
83
910
108
1130
129
1318
1418
1510
1624
1710
187
197
209
2111
2230
239
2423
255
2665
271
2822
2918
305
3131
325
332
341
351
3623
377
388
3935
405
4125
4215
4326
4445
453
4629
4712
487
496
52.60% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats16
diversityRatio0.4036697247706422
totalSentences109
uniqueOpeners44
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences91
matches
0"Somewhere behind them a shuttered"
1"Then he looked at something"
2"Somewhere below, a turnstile clicked."
ratio0.033
92.53% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount29
totalSentences91
matches
0"She stood in a pitch-dark"
1"She had been inside the"
2"She had counted the exits,"
3"He came out fast, a"
4"She gave him ten yards,"
5"He turned — a young"
6"she called, and the rain"
7"He went down Old Compton"
8"He ran well for a"
9"He ran like a man"
10"He checked his sightlines without"
11"She read his gait the"
12"He was protecting the bag,"
13"She hadn't called it in."
14"she shouted back"
15"She had read the file"
16"Her knees were forty-one years"
17"He was running toward something."
18"She could tell by the"
19"He was going somewhere he"
ratio0.319
47.91% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount75
totalSentences91
matches
0"The green neon above the"
1"She stood in a pitch-dark"
2"She had been inside the"
3"She had counted the exits,"
4"Everything about the place was"
5"Tomás Herrera came out at"
6"He came out fast, a"
7"Rain didn't streak."
8"She gave him ten yards,"
9"He turned — a young"
10"she called, and the rain"
11"He went down Old Compton"
12"He ran well for a"
13"He ran like a man"
14"He checked his sightlines without"
15"She read his gait the"
16"The bag rode high against"
17"He was protecting the bag,"
18"That told her more than"
19"Oxford Street was a river"
ratio0.824
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences91
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences57
technicalSentenceCount1
matches
0"Her knees were forty-one years old and the rain had found the back of her collar, running in a cold line down her spine, and still she gained — because he wasn'…"
34.09% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags11
uselessAdditionCount2
matches
0"she called, and the rain ate the word"
1"And he stepped, and the light closed behind him like water"
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags8
fancyCount3
fancyTags
0"Herrera glanced back (glance)"
1"she shouted back (shout)"
2"he breathed (breathe)"
dialogueSentences19
tagDensity0.421
leniency0.842
rawRatio0.375
effectiveRatio0.316
78.8922%