Run: 2026-09-01-01M1EP0AEE0A9H2MBJ82PEHWV6

Run Details

Duration:
1m 42s
Cost:
$0.024994
Provider:
xAI

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
Rain sheeted down in gray curtains, turning the Soho pavement into a slick black mirror that threw back every neon smear and headlight in fractured shards. Detective Harlow Quinn’s boots hammered through the puddles, each stride sending cold water up her calves. Her closely cropped salt-and-pepper hair was plastered to her skull; droplets clung to her sharp jaw and ran into the collar of her coat. She never broke stride. Eighteen years on the Met had taught her that hesitation was a luxury you paid for later, usually in blood. Ahead, Tomás Herrera cut left into a narrow alley, his olive skin gleaming under a stuttering streetlamp. The Saint Christopher medallion around his neck flashed once, then vanished as he ducked behind a stack of sodden cardboard. Quinn’s worn leather watch caught the light as she pumped her arms, the second hand ticking with military indifference. She had spotted him leaving The Raven’s Nest twenty minutes earlier, the distinctive green neon sign buzzing like an insect above the entrance while rain hissed against the old maps and black-and-white photographs visible through the grimy windows. He had looked over his shoulder then, just once, and she had known. “Herrera! Metropolitan Police! Stop!” Her voice bounced off wet brick and died. He did not stop. He never did. The former paramedic moved with the economical grace of someone who had once sprinted through A&E corridors with a dying patient on a gurney. Now he used that same economy to stay half a block ahead, weaving between overflowing bins and a couple arguing under a shared umbrella. Quinn’s brown eyes tracked the scar that ran along his left forearm when he braced himself against a wall to take a corner. Knife work, she remembered from the file. The kind that left a man careful about who stood behind him. The alley spat them out onto a wider street where taxis hissed past like angry animals. Herrera vaulted a low railing without breaking pace. Quinn followed, one hand on the iron, the other already reaching for the radio clipped inside her coat. Static answered. Camden was a maze of one-ways and dead ends at the best of times; in this downpour it became a living thing that swallowed sound and spit it back distorted. She could feel the old tightness in her chest, the same one that had lived there since DS Morris vanished three years ago into a case that still had no satisfactory ending. Unexplained circumstances. That was the phrase they had used. She had never believed it. Herrera glanced back. Warm brown eyes met hers for a fraction of a second, wide with something that was not quite fear. Recognition, maybe. Or calculation. Then he was gone again, sprinting north toward the canal, toward the darker arteries of the city. Quinn’s lungs burned. She was forty-one and still faster than most of the lads half her age, but rain and cobbles were great equalizers. Her left boot slipped on a patch of oil rainbowed across a puddle; she caught herself with a curse that tasted of copper. The watch on her wrist read 23:47. Time was a luxury too. They crossed the canal bridge in a spray of water kicked up by a late bus. Herrera took the stairs down to the towpath two at a time. Quinn followed, her coat flapping like a torn sail. The water below was black and restless, swallowing the rain without a ripple. She could hear his breathing now, ragged, close enough that if she lunged she might catch the back of his jacket. She did not lunge. Not yet. A man who had lost his NHS license for treating patients no one else would touch was not a man who ran without a destination. She wanted the destination more than she wanted the collar. The towpath gave way to a service road that stank of diesel and wet cardboard. Herrera cut through a gap in a chain-link fence that had been peeled back like a scab. Quinn squeezed after him, the metal catching her coat and leaving a long tear. Beyond the fence the world changed. The streetlights thinned. The rain seemed louder, as if the city itself were holding its breath. An abandoned Tube station entrance loomed out of the dark, its tiles cracked, its sign long since pried off. Someone had spray-painted a crude raven over the remaining letters. Quinn’s stomach tightened. She knew the stories. Every copper who worked nights in this city knew the stories, even if they pretended otherwise. Herrera did not hesitate. He produced something small and pale from his pocket—a token the size of a coin, carved from bone—and pressed it against a rusted turnstile that should not have moved. The metal groaned. A section of wall that looked like solid brick simply folded inward, revealing a stairwell that descended into a throat of darkness. Warm air breathed up from below, carrying the scent of incense, ozone, and something metallic that made Quinn’s fillings ache. Herrera disappeared down the steps without looking back. Quinn stood at the threshold, rain hammering her shoulders. Her hand hovered over the radio again. Protocol said call it in. Backup. Armed response if necessary. The abandoned station beneath Camden was not on any official map, and the thing that lived down there—the Veil Market—moved with the full moon like a parasite changing hosts. She had heard the briefings, the ones delivered in windowless rooms with the lights dimmed. Enchanted goods. Banned alchemical substances. Information that could get a person killed twice. Entry required a bone token. She had none. Water ran into her eyes. She blinked it away and thought of Morris. His laugh. The way he had always taken the left side of the door. The way he had gone into a similar darkness three years ago and never come out. Unexplained. Supernatural origins she still did not understand, but she understood this: if Herrera was running toward that market, then the clique she had been circling for months was deeper in this than even she had guessed. The Nest had been a starting point. This was the next layer. A figure emerged from the stairwell, a woman in a soaked duffel coat who did not look at Quinn as she passed. The woman carried her own token, palmed it against the turnstile, and the wall sealed behind her with a sound like a sigh. Quinn’s pulse ticked against the leather strap of her watch. Military precision warred with the knowledge that going down those stairs alone was the kind of decision that ended careers, or lives. She could still hear Herrera’s footsteps, faint now, swallowed by the earth. She stepped forward. The rain hit the back of her neck like a warning. One more second of hesitation, then she pressed her palm against the same rusted metal Herrera had used. Nothing happened. Of course it didn’t. No token, no entry. The wall remained a wall. Frustration flared hot in her chest. She slammed her fist against the brick, once, hard enough to split the skin across her knuckles. Blood mixed with rain and ran down her wrist, over the watch face, ticking away the seconds she did not have. A voice, low and amused, came from the shadows to her left. “You look like you could use a way in, Detective.” Quinn spun, hand already inside her coat, fingers closing on the grip of her extendable baton. A man she did not recognize leaned against a dripping pipe, holding up a second bone token between two fingers. He was not Herrera. He was not anyone from the files. His smile did not reach his eyes. “Price is steep tonight,” he said. “But then, you already knew that, didn’t you? You’ve been hunting them long enough.” Quinn’s brown eyes narrowed. The rain kept falling. Below them, the market waited, full of things that should not exist and people who would rather she never found them. She thought of Morris again, of the empty chair in the office that still smelled faintly of his cheap aftershave. She thought of Herrera’s scar and the medallion that had not protected him from whatever he was running toward. Then she thought of the clique, of the Nest, of every unanswered question that had kept her awake for three years. She took the token. The man’s smile widened. The wall folded open once more. Warm, wrong air rushed up to meet her. Quinn descended into the dark, the rain sealing the world above like a lid. The stairs were slick. The air grew thicker with each step, heavy with the murmur of voices that did not sound entirely human and the clink of glass on glass. Somewhere ahead, Tomás Herrera was already among them, and she would find him. She would find all of them. The Veil Market opened before her like a wound. Stalls of warped wood and iron crowded the old platform, lit by globes that floated without wires. A woman with too many joints sold vials of something that smoked even in the still air. A man whose shadow moved independently of his body haggled over a book bound in what looked like pale leather. Quinn kept her face blank, her bearing ramrod straight, the way she had been taught in another life. Her split knuckles throbbed. The token was warm in her pocket, as if it had a pulse of its own. She spotted Herrera near the far end of the platform, speaking to a figure whose back was turned. The medallion caught the strange light. Quinn moved through the crowd like a blade through water, every sense stretched taut. She did not call out this time. Down here, names had weight, and she was not ready to spend hers yet. The decision had already been made the moment she took the token. There was no going back up those stairs without answers, and she had waited three years too long for those. Herrera’s head came up. He saw her. For a heartbeat the warm brown eyes held something like regret. Then he turned and vanished into a side tunnel that had not been there a moment before. Quinn followed, the market’s hum rising behind her like a held breath about to break. Rain still fell somewhere far above, but it no longer mattered. She was in now, and the city she knew had been left at the surface, along with every rule that had ever kept her alive.
created_at"2026-09-01T14:29:38.389Z" 9/1/2026, 2:29:38 PM
model"x-ai/grok-4.6-20260810"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency512
moderation_latency(null)
generation_time102012
tokens_prompt888
tokens_completion3011
native_tokens_prompt1016
native_tokens_completion4051
native_tokens_completion_images(null)
native_tokens_reasoning1932
native_tokens_cached896
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"completed"
service_tier"default"
usage0.024994
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788272978-lcfZzDoh5bZHEY8s3d3i"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788272978-pTBO0rID8cc7JF01zBF3"
upstream_id"927e3908-0a2e-90d8-a6ad-69f1b1ca76a6"
provider_responses
0
endpoint_id"0d0536e3-7eb1-4acb-8249-c8813365c2d8"
id"927e3908-0a2e-90d8-a6ad-69f1b1ca76a6"
is_byokfalse
latency151
model_permaslug"x-ai/grok-4.6-20260810"
provider_name"xAI"
status200
total_cost0.024994
cache_discount0.001344
upstream_inference_cost0
provider_name"xAI"
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
totalTags1
adverbTagCount0
adverbTags(empty)
dialogueSentences4
tagDensity0.25
leniency0.5
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1761
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)
71.61% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1761
totalAiIsms10
found
0
word"fractured"
count1
1
word"gleaming"
count1
2
word"could feel"
count1
3
word"loomed"
count1
4
word"stomach"
count1
5
word"pulse"
count2
6
word"footsteps"
count1
7
word"throbbed"
count1
8
word"weight"
count1
highlights
0"fractured"
1"gleaming"
2"could feel"
3"loomed"
4"stomach"
5"pulse"
6"footsteps"
7"throbbed"
8"weight"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes narrowed"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences142
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences142
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences145
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
totalWords1757
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
97.83% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions57
wordCount1725
uniqueNames16
maxNameDensity1.04
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Soho1
Harlow1
Quinn18
Met1
Tomás2
Herrera15
Saint1
Christopher1
Raven1
Nest3
Morris3
Tube1
Camden2
Veil2
Market2
Warm3
persons
0"Harlow"
1"Quinn"
2"Met"
3"Tomás"
4"Herrera"
5"Saint"
6"Christopher"
7"Raven"
8"Nest"
9"Morris"
10"Market"
11"Warm"
places
0"Soho"
globalScore0.978
windowScore1
22.45% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences98
glossingSentenceCount5
matches
0"not quite fear"
1"seemed louder as if the city itself were holding its breath"
2"looked like solid brick simply folded inw"
3"looked like pale leather"
4"something like regret"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1757
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences145
matches(empty)
80.02% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs22
mean79.86
std34.35
cv0.43
sampleLengths
090
1107
24
3105
4120
5102
6112
7120
886
991
1092
1189
1291
1322
1454
1520
1689
178
1877
19101
2091
2186
90.44% Passive voice overuse
Target: ≤2% passive sentences
passiveCount6
totalSentences142
matches
0"was plastered"
1"was gone"
2"been peeled"
3"been taught"
4"been made"
5"been left"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs282
matches
0"were holding"
1"was running"
2"was running"
44.33% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount3
flaggedSentences5
totalSentences145
ratio0.034
matches
0"Her closely cropped salt-and-pepper hair was plastered to her skull; droplets clung to her sharp jaw and ran into the collar of her coat."
1"Camden was a maze of one-ways and dead ends at the best of times; in this downpour it became a living thing that swallowed sound and spit it back distorted."
2"Her left boot slipped on a patch of oil rainbowed across a puddle; she caught herself with a curse that tasted of copper."
3"He produced something small and pale from his pocket—a token the size of a coin, carved from bone—and pressed it against a rusted turnstile that should not have moved."
4"The abandoned station beneath Camden was not on any official map, and the thing that lived down there—the Veil Market—moved with the full moon like a parasite changing hosts."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1737
adjectiveStacks0
stackExamples(empty)
adverbCount62
adverbRatio0.035693724812895795
lyAdverbCount6
lyAdverbRatio0.0034542314335060447
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences145
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences145
mean12.12
std8.2
cv0.677
sampleLengths
026
116
224
34
420
517
620
719
838
913
104
118
124
133
1424
1524
1623
177
1812
1916
208
2118
222
2330
2432
252
267
275
283
2919
302
312
3217
333
3421
3523
367
375
3816
3912
409
4113
4221
434
442
4525
4610
4715
4817
4914
55.63% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats11
diversityRatio0.3793103448275862
totalSentences145
uniqueOpeners55
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount5
totalSentences131
matches
0"Then he was gone again,"
1"Of course it didn’t."
2"Then she thought of the"
3"Somewhere ahead, Tomás Herrera was"
4"Then he turned and vanished"
ratio0.038
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount36
totalSentences131
matches
0"Her closely cropped salt-and-pepper hair"
1"She never broke stride."
2"She had spotted him leaving"
3"He had looked over his"
4"Her voice bounced off wet"
5"He did not stop."
6"He never did."
7"She could feel the old"
8"She had never believed it."
9"She was forty-one and still"
10"Her left boot slipped on"
11"They crossed the canal bridge"
12"She could hear his breathing"
13"She did not lunge."
14"She wanted the destination more"
15"She knew the stories."
16"He produced something small and"
17"Her hand hovered over the"
18"She had heard the briefings,"
19"She had none."
ratio0.275
43.97% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount109
totalSentences131
matches
0"Rain sheeted down in gray"
1"Detective Harlow Quinn’s boots hammered"
2"Her closely cropped salt-and-pepper hair"
3"She never broke stride."
4"The Saint Christopher medallion around"
5"Quinn’s worn leather watch caught"
6"She had spotted him leaving"
7"He had looked over his"
8"Her voice bounced off wet"
9"He did not stop."
10"He never did."
11"The former paramedic moved with"
12"Quinn’s brown eyes tracked the"
13"Knife work, she remembered from"
14"The kind that left a"
15"The alley spat them out"
16"Herrera vaulted a low railing"
17"Quinn followed, one hand on"
18"Camden was a maze of"
19"She could feel the old"
ratio0.832
38.17% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences131
matches
0"Now he used that same"
ratio0.008
67.67% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences76
technicalSentenceCount8
matches
0"The former paramedic moved with the economical grace of someone who had once sprinted through A&E corridors with a dying patient on a gurney."
1"Camden was a maze of one-ways and dead ends at the best of times; in this downpour it became a living thing that swallowed sound and spit it back distorted."
2"He produced something small and pale from his pocket—a token the size of a coin, carved from bone—and pressed it against a rusted turnstile that should not have…"
3"A section of wall that looked like solid brick simply folded inward, revealing a stairwell that descended into a throat of darkness."
4"The abandoned station beneath Camden was not on any official map, and the thing that lived down there—the Veil Market—moved with the full moon like a parasite c…"
5"Military precision warred with the knowledge that going down those stairs alone was the kind of decision that ended careers, or lives."
6"She thought of Herrera’s scar and the medallion that had not protected him from whatever he was running toward."
7"The air grew thicker with each step, heavy with the murmur of voices that did not sound entirely human and the clink of glass on glass."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags1
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences4
tagDensity0.25
leniency0.5
rawRatio0
effectiveRatio0
87.0704%