Run: 2026-09-01-01M1EMD6SJDPKQPE6GP35VABMZ

Run Details

Duration:
1m 36s
Cost:
$0.023134
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
The rain came down in sheets, turning the Camden pavement into a black mirror that shattered under every footfall. Detective Harlow Quinn ran hard, boots slapping through ankle-deep water, the worn leather watch on her left wrist flashing wet in the sodium glare. Forty-one years old and she still moved with the same military precision that had carried her through eighteen years on the Met. Closely cropped salt-and-pepper hair plastered to her skull. Sharp jaw clenched. Brown eyes locked on the figure ahead. Tomás Herrera. He was fast for a former paramedic. Five-ten, olive skin, short curly dark brown hair now dripping, Saint Christopher medallion bouncing against his chest as he cut through the late-night stragglers. Quinn had been on him for six blocks already, ever since she’d spotted him slipping out of a side street near the canal. The clique. Always the clique. She’d been circling them for months, certain they were dirty, certain they were connected to things that didn’t add up. Things like the night DS Morris had died. “Police! Stop!” Her voice cut through the downpour, raw and unused to shouting over weather like this. Herrera didn’t stop. He glanced back once, warm brown eyes wide, then veered left into a narrow alley slick with overflowing gutters. Quinn followed, shoulder clipping a dumpster, rainwater spraying up her coat. The alley stank of wet cardboard and piss. Her lungs burned. She kept her bearing, kept her stride even, the way they’d drilled it into her years ago. Never let them see you tire. He vaulted a low wall at the far end. She took it in one motion, palm slamming brick, body following. On the other side the street opened onto a stretch of shuttered market stalls, canvas flapping like wounded birds. Neon from a kebab shop bled pink across the puddles. Herrera sprinted between them, knocking a stack of crates. Wood clattered. Quinn was three seconds behind, then two. She could see the scar now, pale against his left forearm as he pumped his arms. Knife attack, her file had said. Unauthorized treatments. Lost his NHS license. Off-the-books work for people who didn’t exist on any register. A bus hissed past, throwing a wall of spray. Herrera used it, darting across the road. Horns blared. Quinn didn’t break stride. She hit the opposite pavement, water exploding around her calves. Her coat was soaked through, heavy, clinging. She shrugged it off without slowing, let it slap to the ground. Better to run light. He was heading north, toward the old stations, the ones they boarded up after the last round of cuts. Abandoned Tube. Quinn knew the maps. She’d walked every inch of this borough after Morris. After the unexplained. After the things that didn’t leave forensic traces. Herrera cut down a service road, then another alley, this one narrower, walls closing in. Graffiti ran in wet streaks. Quinn’s breath came in controlled bursts. She could hear him now, the slap of his trainers, the rattle of that medallion. Closer. She reached for her radio, then let her hand drop. Backup would take minutes. He would be gone in seconds. And this felt like the break. The one that might finally explain why Morris had gone into that warehouse three years ago and never come out the same way. He burst onto a wider street, rain hammering the tarmac, then suddenly dropped from sight. Quinn skidded, boots sliding. An iron railing. Stairs. A dark mouth in the pavement, half-hidden behind construction hoarding that had been peeled back. The abandoned station beneath Camden. She’d seen the reports. Condemned. Unstable. No entry. She reached the top of the stairs and stopped, chest heaving. Water sheeted off the concrete lip and vanished into blackness. Far below, a faint glow. Not electric. Something else. And the sound of Herrera’s footsteps receding, then stopping. Quinn stood there, rain drumming her shoulders, the leather watch ticking against her pulse. Protocol was clear. Call it in. Secure the scene. Wait for armed response if it looked like a trap. This looked like a trap. Unfamiliar territory. Potentially dangerous. The kind of place people disappeared into and didn’t come back from. The kind of place that had taken Morris. She thought of his face. The way he’d looked that last morning, joking about the overtime, then the call that came three hours later. Unexplained circumstances. Supernatural origins, the whispers said, though no one in the department would put it on paper. Quinn didn’t believe in that. She believed in evidence. In patterns. In the clique that Herrera patched up when they came in bleeding from wounds that shouldn’t exist. Down in the dark, something shifted. A low murmur, like a crowd that wasn’t supposed to be there. The Veil Market, if the informants were to be believed. Enchanted goods. Banned substances. Information that cost more than money. She’d heard the name once, from a junkie who’d later recanted everything. Moves every full moon. Requires a bone token to get in. Herrera had one. She’d seen him palm something pale as he descended. Quinn’s jaw tightened. She could turn around. Walk back to her car. Write it up as a failed pursuit. Stay in the light, in the rain, in the world that made sense. Or she could go down. The stairs were slick, each step a risk. She took the first one anyway, then the second. The rain noise faded behind her, replaced by a dripping echo and the smell of old metal and something herbal, sharp, wrong. Her brown eyes adjusted slowly. The glow resolved into lanterns, not electric, hanging from rusted beams. Stalls. Figures moving. The walls of the old station were covered in things that didn’t belong: maps that shifted when you looked at them, photographs that weren’t black-and-white anymore. Herrera was already among them, speaking to a woman behind a table of glass vials. He hadn’t looked back. He thought he’d lost her. Quinn stood on the threshold, one boot on the last dry step, the other already wet from the seepage. Military precision kept her still while her mind raced. Follow him into this and she was off the books, no radio, no backup, no one who would even know where to look. Stay and she lost him, lost the thread, lost whatever truth was down here that might explain Morris. She thought of the clique. Of the nights she’d sat in her car outside that Soho bar with the green neon sign, watching faces come and go. The Raven’s Nest. She’d never been inside. Never seen the hidden room they said was behind the bookshelf. But she’d seen Herrera leave it more than once, medical bag in hand. The decision sat in her chest like a stone. Then she moved. She descended the rest of the way, keeping to the shadows along the tiled wall, the salt-and-pepper of her hair hidden under the gloom. Her hand stayed near her holster, though she hadn’t drawn. Not yet. The air grew warmer, thicker. Voices overlapped in languages she didn’t recognize. A man sold what looked like teeth on a string. Another offered folded papers that glowed faintly at the edges. Herrera finished his transaction, slipped a small packet into his jacket, and started moving deeper, toward a tunnel that branched off the main platform. Quinn followed, silent, precise. She was in now. No turning back without being seen. The market closed around her, stalls and bodies and the low hum of something that wasn’t quite conversation. She kept her eyes on the medallion, the scar, the way he moved like a man who knew these tunnels. A man who belonged down here more than she ever would. The rain was a distant memory. Up there the city still poured. Down here the rules were different. Quinn didn’t know them yet. She would learn. Or she would end up like Morris. She took another step, then another, the worn leather watch marking time that no longer felt like it belonged to the world above.
created_at"2026-09-01T14:01:43.495Z" 9/1/2026, 2:01:43 PM
model"x-ai/grok-4.6-20260810"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency513
moderation_latency(null)
generation_time95681
tokens_prompt888
tokens_completion2518
native_tokens_prompt1016
native_tokens_completion3549
native_tokens_completion_images(null)
native_tokens_reasoning1867
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"completed"
service_tier"default"
usage0.023134
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
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request_id"req-1788271303-EYaNpG7xWMsSigqDRteZ"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788271303-It91a5RHvNDunwwE3JO6"
upstream_id"32030f0e-1ae2-9bfb-864f-16f4c3e3ae9a"
provider_responses
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endpoint_id"0d0536e3-7eb1-4acb-8249-c8813365c2d8"
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is_byokfalse
latency500
model_permaslug"x-ai/grok-4.6-20260810"
provider_name"xAI"
status200
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cache_discount0.000192
upstream_inference_cost0
provider_name"xAI"
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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)
dialogueSentences1
tagDensity1
leniency1
rawRatio0
effectiveRatio0
92.55% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1342
totalAiIsmAdverbs2
found
0
adverb"suddenly"
count1
1
adverb"slowly"
count1
highlights
0"suddenly"
1"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)
59.02% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1342
totalAiIsms11
found
0
word"shattered"
count1
1
word"footfall"
count1
2
word"jaw clenched"
count1
3
word"electric"
count2
4
word"footsteps"
count1
5
word"pulse"
count1
6
word"echo"
count1
7
word"resolved"
count1
8
word"raced"
count1
9
word"gloom"
count1
highlights
0"shattered"
1"footfall"
2"jaw clenched"
3"electric"
4"footsteps"
5"pulse"
6"echo"
7"resolved"
8"raced"
9"gloom"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"jaw/fists clenched"
count1
highlights
0"jaw clenched"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences153
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount4
hedgeCount0
narrationSentences153
filterMatches
0"watch"
1"see"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences153
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen28
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1342
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
97.76% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions43
wordCount1340
uniqueNames14
maxNameDensity1.04
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Camden2
Harlow1
Quinn14
Met1
Herrera11
Saint1
Christopher1
Morris6
Tube1
Veil1
Market1
Soho1
Raven1
Nest1
persons
0"Harlow"
1"Quinn"
2"Herrera"
3"Saint"
4"Christopher"
5"Morris"
6"Market"
7"Raven"
places
0"Soho"
globalScore0.978
windowScore1
11.11% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences90
glossingSentenceCount5
matches
0"felt like the break"
1"looked like a trap"
2"looked like teeth on a string"
3"quite conversation"
4"felt like it belonged to the world abov"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1342
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences153
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs27
mean49.7
std28.75
cv0.579
sampleLengths
083
12
287
317
467
5105
655
745
891
951
1039
1162
1270
1373
1432
155
1684
1724
1869
1958
209
213
2268
2356
2431
2533
2623
96.09% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences153
matches
0"were connected"
1"been peeled"
2"were covered"
3"being seen"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs246
matches
0"was heading"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences153
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1353
adjectiveStacks0
stackExamples(empty)
adverbCount52
adverbRatio0.038433111603843315
lyAdverbCount7
lyAdverbRatio0.005173688100517369
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences153
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences153
mean8.77
std6.48
cv0.739
sampleLengths
019
124
222
38
43
57
62
77
824
923
102
113
1220
138
1417
153
1619
1711
188
193
2017
216
229
2311
2419
2510
269
272
287
2916
306
312
324
3310
349
357
362
374
3810
397
4012
414
4219
432
444
459
463
478
4815
495
75.82% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.47058823529411764
totalSentences153
uniqueOpeners72
76.34% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences131
matches
0"Closely cropped salt-and-pepper hair plastered"
1"Always the clique."
2"Then she moved."
ratio0.023
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount37
totalSentences131
matches
0"He was fast for a"
1"She’d been circling them for"
2"Her voice cut through the"
3"He glanced back once, warm"
4"Her lungs burned."
5"She kept her bearing, kept"
6"He vaulted a low wall"
7"She took it in one"
8"She could see the scar"
9"She hit the opposite pavement,"
10"Her coat was soaked through,"
11"She shrugged it off without"
12"He was heading north, toward"
13"She’d walked every inch of"
14"She could hear him now,"
15"She reached for her radio,"
16"He would be gone in"
17"He burst onto a wider"
18"She’d seen the reports."
19"She reached the top of"
ratio0.282
89.77% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount97
totalSentences131
matches
0"The rain came down in"
1"Detective Harlow Quinn ran hard,"
2"Brown eyes locked on the"
3"He was fast for a"
4"Quinn had been on him"
5"She’d been circling them for"
6"Things like the night DS"
7"Her voice cut through the"
8"Herrera didn’t stop."
9"He glanced back once, warm"
10"Quinn followed, shoulder clipping a"
11"The alley stank of wet"
12"Her lungs burned."
13"She kept her bearing, kept"
14"He vaulted a low wall"
15"She took it in one"
16"Neon from a kebab shop"
17"Herrera sprinted between them, knocking"
18"Quinn was three seconds behind,"
19"She could see the scar"
ratio0.74
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences131
matches(empty)
ratio0
64.94% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences55
technicalSentenceCount6
matches
0"The rain came down in sheets, turning the Camden pavement into a black mirror that shattered under every footfall."
1"Forty-one years old and she still moved with the same military precision that had carried her through eighteen years on the Met."
2"She’d been circling them for months, certain they were dirty, certain they were connected to things that didn’t add up."
3"The walls of the old station were covered in things that didn’t belong: maps that shifted when you looked at them, photographs that weren’t black-and-white anym…"
4"Herrera finished his transaction, slipped a small packet into his jacket, and started moving deeper, toward a tunnel that branched off the main platform."
5"She kept her eyes on the medallion, the scar, the way he moved like a man who knew these tunnels."
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
totalTags0
88.7795%