Run: 2026-09-02-01M1GW81C3CTMTJAYF419SHP20

Run Details

Duration:
11m 30s
Cost:
$0.095780
Provider:
Z.AI

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="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> Continue the story using the following instructions: <instructions> 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. </instructions>

Model response

AI
The rain had held Camden for six hours and showed no interest in letting go. It came off the market awnings in ropes, brimmed the gutters, and smeared the High Street neon into long streaks of red and green across the asphalt. Quinn stood deep in the black of a railway arch, where a century of soot kept the light off her, and watched the man across the road pretend he wasn't doing the same. She had picked Herrera up at half past eleven, outside a bar in Soho under a green sign that buzzed like a wasp in a jar. The Raven's Nest. He'd come out carrying a scuffed leather bag, caught the last northbound train from Tottenham Court Road, and ridden with his hood up and both hands on the bag. She'd sat two cars down. Now he stood in Camden, an hour into the rain, waiting for something. His file ran forty pages and she'd read it twice. Twenty-nine years old, born in Seville. Struck off the paramedic register for treatments no tribunal ever got a straight answer on — patients who refused hospitals, wound reports that matched no blade on record, witnesses who recanted by morning. The man attached to the file stood under a dead streetlight, curly dark hair flattened by rain, olive skin gone gray in the cold, a Saint Christopher medallion catching the light at his throat each time he shifted his weight. Her phone buzzed against her hip, the screen the only warm thing on her. "Tell me you're in bed." Osei's voice carried a canteen's worth of noise behind it. "I'm on Herrera." "Off the books. Again. Where?" "Nowhere. Go to sleep, Osei." She pocketed the phone and let the dark of the arch take her back. Across the road, Herrera checked the street both ways. Waited. Checked again. Clumsy with the cold, but tradecraft. Then he crossed against the light and slipped into the Horse Tunnel beneath the market, and she gave him the length of it before she followed. The tunnel ran with shuttered stalls and dripping steel. At the third stall down he crouched to retie a boot and glanced up into the corrugated shutter — where the metal had doubled her, warped and unmistakable. He ran. He ran like a man who knew every cobble by name. She ran the way eighteen years had built her: steady, low, reading the corners before she took them. "Herrera! Police!" "Go home, Detective Quinn!" He knew her name. She filed that where she kept useful things and spent the rest of her breath on the gap between them. A night bus crawled past with its windows fogged. He hurdled the crossing barrier; she took the low end of it on her thigh and kept her stride. Two men under a kebab shop awning whooped at them both. Past them, the Stables market swallowed the chase — dead corridors, shutter bolts, an iron staircase running with water. He took the stairs two at a time. She caught the rail and let gravity do half the work, her shins taking the rest. The canal ran black and high, rain stippling it into static. Narrowboats sat dark against the far bank. He was faster, nine years younger and lighter on wet stone, and pulling away — so she quit racing him and started cutting angles. The towpath ran one way, and the bridge at its end would funnel him to her. The clouds tore open for a moment and the moon came through whole and fat, laying a white stripe down the middle of the water. She noted it the way she noted everything, and moved on. She got a fistful of his jacket at the bridge steps. He turned under her grip, unzipped mid-stride, and left the jacket with her like a magician leaving a scarf. Under the bridge lamp, a scar showed pale down his forearm before the sleeve swallowed it. "I stitch people up!" He was already moving. "That's all I do! Go home!" She dropped the jacket in a puddle and followed. He cut behind the bridge abutment, through a sheet of hoarding peeled off its frame and gone to pulp with old band posters, into a builders' yard of dead machines and one amber lamp. She went through the same gap and left skin on the plywood. At the yard's far wall, a stairhead with a cast-iron railing. A sign in transport roundel: NO PUBLIC ACCESS. Below it, steps worn into shallow bows, tiled walls glazed with sixty years of grime. She knew this stair. It had surfaced in her Land Registry search three weeks ago: entrance bricked and signed off by the council in 1968. She had read the closure order herself, chasing this clique through paper. The closure order was now an open door, and warm air came up out of the ground carrying coin-noise, glass-noise, and the low hum of a crowd doing business. She went down with her flashlight in her fist and her thumb on the radio. The steps took her below the rain, below the traffic, into a drip that kept its own time. A platform, stripped to bare tile. Then a tunnel mouth with light living in it. The market sounds took shape as she closed the distance: coin on glass, laughter in half a dozen languages, a fiddle working through a tune that never resolved. At the tunnel's end hung a lamp on a chain, a gate of black iron bars, and a doorman built like the arches up top — a big man in a railway coat, brass buttons gone green. His eyes caught the lamplight flat and amber, the way an animal's do at the edge of headlights. An old woman stood at the bars with a covered birdcage. Something in the cage clicked — beak or knuckle, Quinn couldn't say — in a rhythm she couldn't count. "Token." The woman opened her fist. A disc of yellowed bone, bored through, strung on a cord. The doorman thumbed its carved whorls and swung the bars aside. Herrera was next, lifting a second cord free of his soaked shirt, his medallion stuck flat against his chest. "Full moon, Doctor." The doorman turned the disc in the light. "Doors shut at three. After that you'd want more than bone to find us." "There's a man on a table with silver in his chest. I'll be the last one out." "Then be quick about it." Silver in the chest. Eighteen years of statements from stabbed men, and not one of them had led with the metal. Past the bars she caught the edge of the place: stall lights strung along the far platform, smoke that hung in shapes no draft had asked for, more people than a dead station had any right to hold. Herrera went through, and before the light took him he looked back up the tunnel — straight at the column she'd pressed herself behind — held the look a beat too long, and turned into the glow and was gone. She let three breaths go. Her flashlight beam wandered across the wet tiles, and for half of one breath she was somewhere else: a cellar in Greenwich, rain in the stairwell, Morris going down first because he always went first. His light swinging. A smell like struck matches. Her coming up those steps alone. The file on that night had closed at four pages, and three years on she could still recite them. She turned the worn leather strap on her left wrist over twice. Five past one. She keyed the radio and the tunnel ate it. The phone offered NO SERVICE above a cracked screen. Backup was forty minutes away if she sprinted, and by then the doors would be shut and the market would be wherever it went when the moon was done — nowhere a warrant could reach. Three months on the clique, and every thread she'd pulled had ended at a locked door. Three names from their orbit had checked into hospital and never checked out. The brass wanted the file closed. Herrera's bag had been full of something that clinked. Here stood a door open, once, until three. Her boot took half a step back toward the stairs. The cage clicked. Below, the fiddle failed to resolve. She clipped the radio to her belt, straightened her collar with two fingers, and walked out of the dark with her shoulders square, letting her boots be heard on the tiles. The doorman's head came around. Up close he smelled of cold iron and something sweet, like burnt sugar. His amber eyes took her flashlight without a flinch. "Token." She held up her warrant card, rainwater dripping from its corner. "Detective Quinn, Metropolitan Police."
created_at"2026-09-02T10:57:11.563Z" 9/2/2026, 10:57:11 AM
model"z-ai/glm-5.3-20260816"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1506
moderation_latency(null)
generation_time689628
tokens_prompt1104
tokens_completion23297
native_tokens_prompt997
native_tokens_completion21567
native_tokens_completion_images(null)
native_tokens_reasoning19750
native_tokens_cached448
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)
usage0.09577988
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788346631-qaNn2fJNrpYpoQD56Hhf"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788346631-eAsmdTm8NHR4KFS3hc39"
upstream_id"20260902185711ef0b963d59c54294"
provider_responses
0
endpoint_id"db975786-e7f6-4838-9e56-3e0b77f1bdc2"
id"20260902185711ef0b963d59c54294"
is_byokfalse
latency1506
model_permaslug"z-ai/glm-5.3-20260816"
provider_name"Z.AI"
status200
total_cost0.09577988
cache_discount0.00051072
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
totalTags3
adverbTagCount0
adverbTags(empty)
dialogueSentences15
tagDensity0.2
leniency0.4
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1459
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)
86.29% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1459
totalAiIsms4
found
0
word"weight"
count1
1
word"racing"
count1
2
word"resolved"
count1
3
word"resolve"
count1
highlights
0"weight"
1"racing"
2"resolved"
3"resolve"
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
narrationSentences95
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences95
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences107
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen40
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1469
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions28
wordCount1381
uniqueNames22
maxNameDensity0.36
worstName"Herrera"
maxWindowNameDensity1
worstWindowName"Camden"
discoveredNames
Camden2
High1
Street1
Herrera5
Soho1
Raven1
Nest1
Tottenham1
Court1
Road1
Seville1
Saint1
Christopher1
Horse1
Tunnel1
Stables1
Land1
Registry1
Quinn2
Silver1
Greenwich1
Morris1
persons
0"Herrera"
1"Raven"
2"Saint"
3"Christopher"
4"Tunnel"
5"Stables"
6"Quinn"
7"Morris"
places
0"Camden"
1"High"
2"Street"
3"Soho"
4"Tottenham"
5"Court"
6"Road"
7"Seville"
8"Horse"
9"Greenwich"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences79
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1469
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences107
matches
0"smoke that hung"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs45
mean32.64
std27.2
cv0.833
sampleLengths
042
133
276
389
414
515
63
75
85
914
1044
1137
122
1329
142
154
1624
1758
1824
1958
2036
2146
2214
239
2446
2534
2666
2748
2883
2930
301
3127
3219
3325
3417
355
3621
3778
3873
39120
4019
4131
4227
431
4415
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences95
matches
0"was gone"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs216
matches
0"wasn't doing"
1"was already moving"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount10
semicolonCount1
flaggedSentences9
totalSentences107
ratio0.084
matches
0"Struck off the paramedic register for treatments no tribunal ever got a straight answer on — patients who refused hospitals, wound reports that matched no blade on record, witnesses who recanted by morning."
1"At the third stall down he crouched to retie a boot and glanced up into the corrugated shutter — where the metal had doubled her, warped and unmistakable."
2"He hurdled the crossing barrier; she took the low end of it on her thigh and kept her stride."
3"Past them, the Stables market swallowed the chase — dead corridors, shutter bolts, an iron staircase running with water."
4"He was faster, nine years younger and lighter on wet stone, and pulling away — so she quit racing him and started cutting angles."
5"At the tunnel's end hung a lamp on a chain, a gate of black iron bars, and a doorman built like the arches up top — a big man in a railway coat, brass buttons gone green."
6"Something in the cage clicked — beak or knuckle, Quinn couldn't say — in a rhythm she couldn't count."
7"Herrera went through, and before the light took him he looked back up the tunnel — straight at the column she'd pressed herself behind — held the look a beat too long, and turned into the glow and was gone."
8"Backup was forty minutes away if she sprinted, and by then the doors would be shut and the market would be wherever it went when the moon was done — nowhere a warrant could reach."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount705
adjectiveStacks0
stackExamples(empty)
adverbCount12
adverbRatio0.01702127659574468
lyAdverbCount2
lyAdverbRatio0.0028368794326241137
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences107
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences107
mean13.73
std9.81
cv0.714
sampleLengths
015
127
233
326
43
529
65
713
810
96
1033
1140
1214
1315
143
155
165
1714
189
191
202
216
2226
239
2428
252
2611
2718
282
294
304
3120
329
3319
3411
3519
368
3716
3811
397
4024
4116
4225
4311
4411
4519
4616
478
486
499
63.24% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.40186915887850466
totalSentences107
uniqueOpeners43
72.46% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences92
matches
0"Then he crossed against the"
1"Then a tunnel mouth with"
ratio0.022
59.13% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount37
totalSentences92
matches
0"It came off the market"
1"She had picked Herrera up"
2"He'd come out carrying a"
3"She'd sat two cars down."
4"His file ran forty pages"
5"Her phone buzzed against her"
6"She pocketed the phone and"
7"He ran like a man"
8"She ran the way eighteen"
9"He knew her name."
10"She filed that where she"
11"He hurdled the crossing barrier;"
12"He took the stairs two"
13"She caught the rail and"
14"He was faster, nine years"
15"She noted it the way"
16"She got a fistful of"
17"He turned under her grip,"
18"He was already moving"
19"She dropped the jacket in"
ratio0.402
79.57% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount70
totalSentences92
matches
0"The rain had held Camden"
1"It came off the market"
2"Quinn stood deep in the"
3"She had picked Herrera up"
4"The Raven's Nest."
5"He'd come out carrying a"
6"She'd sat two cars down."
7"His file ran forty pages"
8"The man attached to the"
9"Her phone buzzed against her"
10"Osei's voice carried a canteen's"
11"She pocketed the phone and"
12"The tunnel ran with shuttered"
13"He ran like a man"
14"She ran the way eighteen"
15"He knew her name."
16"She filed that where she"
17"A night bus crawled past"
18"He hurdled the crossing barrier;"
19"He took the stairs two"
ratio0.761
54.35% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences92
matches
0"Now he stood in Camden,"
ratio0.011
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences57
technicalSentenceCount2
matches
0"She had picked Herrera up at half past eleven, outside a bar in Soho under a green sign that buzzed like a wasp in a jar."
1"Struck off the paramedic register for treatments no tribunal ever got a straight answer on — patients who refused hospitals, wound reports that matched no blade…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags3
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
90.5013%