Run: 2026-09-01-01M1ENEVTM3AKGZ9BTWNT7GZYZ

Run Details

Duration:
1m 48s
Cost:
$0.029050
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 that turned the Soho pavement into a slick black mirror. Green neon from The Raven’s Nest smeared across every puddle, a sickly glow that made the wet cobbles look diseased. Detective Harlow Quinn stood in the doorway of a shuttered florist’s, collar turned up, the worn leather of her watch already dark with water. Eighteen years on the job and the old tightness still lived in her chest whenever that door opened. Tomás Herrera stepped out into the downpour. Five-ten, olive skin gleaming under the streetlamp, short dark curls plastered to his forehead. The Saint Christopher medallion at his throat caught the neon and threw it back like a tiny, desperate signal. His warm brown eyes found her across the street. They widened. Then he ran. “Herrera! Metropolitan Police—stop!” He didn’t. Quinn launched after him, boots slapping through ankle-deep water, closely cropped salt-and-pepper hair already soaked flat against her skull. Military precision in every stride. Sharp jaw locked. Forty-one years old and her knees still remembered every pavement they’d ever met. He cut left into an alley that stank of piss and fried onions. Quinn followed, shoulder clipping a overflowing skip, pain flaring white. Herrera vaulted a low wall without breaking stride. She went over after him, coat catching, ripping free with a sound like wet canvas tearing. On the far side the alley opened onto a wider street where late-night traffic hissed past in sprays of dirty water. A black cab nearly took her out; she slammed a palm on its bonnet and kept moving. Herrera was already twenty metres ahead, weaving between umbrellas and drunks spilling from basement clubs. She gained on him at the next corner. Close enough to see the medallion bouncing against his chest, close enough to catch the flash of the long pale scar that ran along his left forearm when his sleeve rode up. Knife work, old but deep. She lunged. Fingers closed on wet fabric. He twisted, elbow snapping back. It caught her in the ribs and she grunted, lost her grip, went down on one knee in a puddle that soaked through to the skin. By the time she was up he had vanished around another bend. The chase stretched north through rain-slicked streets that grew quieter, darker, the neon giving way to sodium lamps that turned everything the colour of old bruises. Quinn’s lungs burned. Her watch face was fogged, the second hand still ticking with stubborn military regularity. She thought of DS Morris, three years gone, the unexplained circumstances that still sat in her file like a splinter. Supernatural origins she didn’t understand then and barely understood now. The clique. Always the clique. Herrera was one of theirs—off-the-books medic, former NHS, licence gone after he’d started treating things that weren’t supposed to exist. She’d been watching the Nest for weeks. Tonight he’d finally bolted. He led her into Camden. The streets here were narrower, the buildings hunched. Rain hammered corrugated shutters. Herrera glanced back once, brown eyes wide, then ducked down a side passage that ended at a rusted iron gate half-hidden behind a skip full of sodden cardboard. He slipped through. Quinn reached it three seconds later, shouldered it open, and found herself at the top of a concrete stairwell that dropped into absolute black. The air that rose from below was cold and smelled of wet stone, old electricity, and something metallic that made the back of her throat tighten. She stopped. Rain sheeted off the brim of her coat. Below, Herrera’s footsteps echoed, then faded. A faint orange glow flickered once, far down, like a match struck and immediately shielded. The Veil Market. Abandoned Tube station beneath Camden. Moved every full moon, or so the whispers said. Bone token to enter. She had no token. She had no backup. She had eighteen years of decorated service and a dead partner whose file still read “circumstances unexplained.” Her hand went to the radio at her belt, then fell away. What would she even say? Suspect entered an unmapped underground market that sells enchanted goods and banned alchemical substances? They’d pull her off the street and into a psych eval before the night was out. She knew it. They all knew it. The clique operated in the gaps the Met refused to see. Quinn stood at the lip of the stairs, chest heaving, rain running into her eyes. The leather watch on her left wrist felt heavy, a reminder of every hour she’d spent chasing shadows that didn’t show up on CCTV. Herrera was down there. Evidence was down there. Answers about Morris might be down there. Or something worse. Something that had already taken one detective and wouldn’t hesitate to take another. A sound drifted up—low voices, the clink of glass, a laugh that didn’t belong to any human throat she’d ever heard. The orange glow brightened, then dimmed. Herrera was already inside. If she waited, he’d vanish into the stalls and the moving shadows and she’d lose him for good. If she followed, she walked into territory that had no maps, no jurisdiction, no rules she understood. She thought of Morris again. The last time she’d seen him he’d been standing in rain much like this, telling her to wait, he’d only be a minute. He’d gone into a place that didn’t exist on any official record and never come out. She’d spent three years pretending the supernatural was just another word for “we don’t know yet.” Standing here, soaked to the bone, she knew better. Quinn drew her extendable baton. The click as it locked open was loud in the stairwell. She took the first step down. Then the second. The rain noise faded behind her, replaced by the drip of water somewhere in the dark and the distant murmur of a market that wasn’t supposed to be real. Her boots found the edge of each stair by feel. The air grew colder. The smell of ozone and blood and old magic thickened. Halfway down she paused, listening. No footsteps now. Only that low hum, like a generator running on something other than electricity. She could still turn around. Climb back into the rain, call it in as a lost suspect, go home and pour a whisky and pretend the Nest and the clique and Herrera’s medallion were someone else’s problem. She didn’t. The third-to-last stair was slick with something that wasn’t water. She stepped over it. At the bottom the tunnel opened into a wider concourse lit by hanging lanterns that burned without flame. Stalls lined the old platform, canvas and bone and glass, selling things that shifted when she looked at them too long. Figures moved between them—some human-shaped, some not. Herrera stood twenty metres ahead, speaking to a woman whose eyes reflected the lantern light like a cat’s. He hadn’t seen her yet. Quinn’s jaw tightened. She started forward, baton low at her side, every sense screaming that this was the kind of place that ate detectives and left no bodies to find. The Saint Christopher medallion glinted as Herrera turned, just slightly, as if he’d felt her arrive. Their eyes met across the crowded dark. He smiled, small and tired, and mouthed something she couldn’t hear. Then the market swallowed him whole.
created_at"2026-09-01T14:20:06.365Z" 9/1/2026, 2:20:06 PM
model"x-ai/grok-4.6-20260810"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency575
moderation_latency(null)
generation_time107570
tokens_prompt888
tokens_completion2711
native_tokens_prompt1016
native_tokens_completion4535
native_tokens_completion_images(null)
native_tokens_reasoning3031
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"
usage0.02905
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788272406-WidL61xS1EW3fGoWCvzt"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788272406-gzxPZbXUeISHZ6aQd4RL"
upstream_id"fdc8b205-ab10-9b89-9cb1-a48afb5607c4"
provider_responses
0
endpoint_id"0d0536e3-7eb1-4acb-8249-c8813365c2d8"
id"fdc8b205-ab10-9b89-9cb1-a48afb5607c4"
is_byokfalse
latency188
model_permaslug"x-ai/grok-4.6-20260810"
provider_name"xAI"
status200
total_cost0.02905
cache_discount0.000192
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
totalTags2
adverbTagCount0
adverbTags(empty)
dialogueSentences3
tagDensity0.667
leniency1
rawRatio0
effectiveRatio0
95.91% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1223
totalAiIsmAdverbs1
found
0
adverb"slightly"
count1
highlights
0"slightly"
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)
75.47% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1223
totalAiIsms6
found
0
word"gleaming"
count1
1
word"footsteps"
count2
2
word"echoed"
count1
3
word"flickered"
count1
4
word"reminder"
count1
highlights
0"gleaming"
1"footsteps"
2"echoed"
3"flickered"
4"reminder"
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
narrationSentences108
matches(empty)
89.95% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount4
hedgeCount0
narrationSentences108
filterMatches
0"look"
1"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences109
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen32
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1217
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
totalMentions39
wordCount1208
uniqueNames15
maxNameDensity0.91
worstName"Herrera"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Soho1
Raven1
Nest3
Harlow1
Quinn8
Herrera11
Saint2
Christopher2
Morris3
Camden2
Veil1
Market1
Tube1
Met1
Standing1
persons
0"Nest"
1"Harlow"
2"Quinn"
3"Herrera"
4"Saint"
5"Christopher"
6"Morris"
7"Market"
8"Met"
places
0"Soho"
1"Raven"
2"Camden"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences68
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1217
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences109
matches
0"screaming that this"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs21
mean57.95
std33.76
cv0.583
sampleLengths
078
154
23
342
4100
595
6109
798
82
975
1065
1170
1266
1369
1478
1558
162
1783
1853
1911
206
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences108
matches
0"was fogged"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs224
matches(empty)
38.01% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount1
flaggedSentences4
totalSentences109
ratio0.037
matches
0"A black cab nearly took her out; she slammed a palm on its bonnet and kept moving."
1"Herrera was one of theirs—off-the-books medic, former NHS, licence gone after he’d started treating things that weren’t supposed to exist."
2"A sound drifted up—low voices, the clink of glass, a laugh that didn’t belong to any human throat she’d ever heard."
3"Figures moved between them—some human-shaped, some not."
99.26% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1224
adjectiveStacks0
stackExamples(empty)
adverbCount50
adverbRatio0.04084967320261438
lyAdverbCount9
lyAdverbRatio0.007352941176470588
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences109
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences109
mean11.17
std7.97
cv0.713
sampleLengths
016
120
224
318
47
514
619
79
82
93
103
112
1219
135
143
1513
1613
1710
188
1916
2021
2117
2215
238
2432
255
262
275
285
2926
3012
3126
323
3314
3420
3510
362
373
3820
397
404
415
428
434
4428
453
4624
4726
482
498
68.20% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.43119266055045874
totalSentences109
uniqueOpeners47
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount5
totalSentences102
matches
0"Then he ran."
1"Always the clique."
2"Then the second."
3"Only that low hum, like"
4"Then the market swallowed him"
ratio0.049
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount29
totalSentences102
matches
0"His warm brown eyes found"
1"He cut left into an"
2"She went over after him,"
3"She gained on him at"
4"He twisted, elbow snapping back."
5"It caught her in the"
6"Her watch face was fogged,"
7"She thought of DS Morris,"
8"She’d been watching the Nest"
9"He led her into Camden."
10"He slipped through."
11"She had no token."
12"She had no backup."
13"She had eighteen years of"
14"Her hand went to the"
15"They’d pull her off the"
16"She knew it."
17"They all knew it."
18"She thought of Morris again."
19"He’d gone into a place"
ratio0.284
92.35% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount75
totalSentences102
matches
0"The rain came down in"
1"Detective Harlow Quinn stood in"
2"Tomás Herrera stepped out into"
3"The Saint Christopher medallion at"
4"His warm brown eyes found"
5"Quinn launched after him, boots"
6"Military precision in every stride."
7"He cut left into an"
8"Quinn followed, shoulder clipping a"
9"Herrera vaulted a low wall"
10"She went over after him,"
11"A black cab nearly took"
12"Herrera was already twenty metres"
13"She gained on him at"
14"Knife work, old but deep."
15"Fingers closed on wet fabric."
16"He twisted, elbow snapping back."
17"It caught her in the"
18"The chase stretched north through"
19"Quinn’s lungs burned."
ratio0.735
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount3
totalSentences102
matches
0"By the time she was"
1"If she waited, he’d vanish"
2"If she followed, she walked"
ratio0.029
2.80% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences51
technicalSentenceCount10
matches
0"Green neon from The Raven’s Nest smeared across every puddle, a sickly glow that made the wet cobbles look diseased."
1"Close enough to see the medallion bouncing against his chest, close enough to catch the flash of the long pale scar that ran along his left forearm when his sle…"
2"The chase stretched north through rain-slicked streets that grew quieter, darker, the neon giving way to sodium lamps that turned everything the colour of old b…"
3"Herrera glanced back once, brown eyes wide, then ducked down a side passage that ended at a rusted iron gate half-hidden behind a skip full of sodden cardboard."
4"Quinn reached it three seconds later, shouldered it open, and found herself at the top of a concrete stairwell that dropped into absolute black."
5"Suspect entered an unmapped underground market that sells enchanted goods and banned alchemical substances?"
6"The rain noise faded behind her, replaced by the drip of water somewhere in the dark and the distant murmur of a market that wasn’t supposed to be real."
7"The third-to-last stair was slick with something that wasn’t water."
8"She started forward, baton low at her side, every sense screaming that this was the kind of place that ate detectives and left no bodies to find."
9"The Saint Christopher medallion glinted as Herrera turned, just slightly, as if he’d felt her arrive."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
92.0648%