Run: 2026-07-08-01KX1MSGMFVSTFWS89CYJ2Y244

Run Details

Duration:
42.5s
Cost:
$0.014282
Provider:
xAI

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
Rain hammered the cobblestones of Neal Street, turning the Soho pavement into a slick mirror of neon and headlamps. Detective Harlow Quinn kicked off from the curb outside the Raven's Nest, boots splashing through black puddles as the hooded figure ahead vaulted a stacked row of crates. Water streamed from her closely cropped salt-and-pepper hair into her eyes; she blinksed once, hard, and kept the pursuit. The leather strap of her watch slapped wet against her left wrist with every swing of her arms. The figure cut left into an alley behind a shuttered jazz club, shoulder glancing off brick. Quinn followed on the same path, boots finding purchase on the rain-slicked stone that should have betrayed any civilian. A dustbin lid clattered away under the suspect's feet. She drove forward, closing the distance to ten yards. Her sharp jaw set and her breath came steady, measured, as if drilled on parade ground rather than street. "Stop. Metropolitan Police." The words cut across the downpour. The figure never slowed. Instead the hood twisted just enough for a flash of white teeth, then the chase plunged into the warren of Covent Garden. Market tarpaulins flapped overhead, dripping curtains of water. Tourists in plastic ponchos scattered with yelps as the sprinting pair knifed between them. A barrow of wilted flowers overturned; petals plastered themselves to Quinn's coat like wet confetti. She vaulted the mess without breaking stride. The suspect's path wove past the darkened shell of the old opera house and out onto Long Acre. Taxi horns blared. One cab shaved the kerb beside Quinn's left boot; the wing mirror clipped her sleeve. She spun free, never losing the target who was already darting down Neal's Yard. The tiny courtyard stank of Thai spices and wet cardboard. A cook in a stained apron shouted from a doorway. "Oi, what's the bleedin'—" Quinn shouldered past him. The figure ripped open a service gate and vanished into the narrow service road beyond. Metal rang as the gate slammed. Quinn hit it two heartbeats later, shoulder first; the latch sprung under military force. She stumbled through, regainoing balance on the greasy tarmac, eyes locked on the bobbing hood thirty yards ahead. Rain flattened the few streetlights into pale smears. The route bent north, forced by scaffolding that boxed them in like a cattle run. Quinn's lungs burned clean and cold. Every splash of her boots answered the fading ones ahead. At the corner of Monmouth Street the figure risked a glance backwards. Equal height, lithe build, dark jacket. No face worth remembering in the gloom. Just the motion of flight. She drew her radio but kept her pace. Static crackled. "Control, foot pursuit active. Suspect male, hoodie, mid-twenties. Direction north toward Tottenham Court Road. Request units on Euston Road." Only rain answered before the next crackle of acknowledgement. She released the transmit key and drove harder. The suspect hit the road surface of Tottenham Court, weaving through night traffic like a man who owned the gaps. Quinn mirrored him less than a car length behind. Tyres hissed. A delivery van braked hard, aquaplaning toward the kerb. She rolled across its bonnet, came up running, coat flaring wide. The chase spilled past shuttered furniture shops and the glass towers of Bloomsbury. Street drains gurgled, overflowing. Quinn's boots punched through ankle-deep water that tried to suck her down. The suspect cut east onto a side road marked by a tilted scaffold pole. Instantly the lighting thinned. Empty windows stared. Quinn felt the city peel back its everyday skin and leave something older underneath. Camden Road unfurled ahead, striped with the glow of late off-licences. The figure's pace never flagged. Quinn matched it. Her cropped hair plastered dark against her skull. Water sheeted from the tip of her sharp jaw. She closed again to fifteen feet when the target veered sharply left, vaulting a rusted railing that fronted a derelict Tube entrance. Chain-link fencing sagged where someone had previously cut it. The suspect slipped through the gap and disappeared into blackness below street level. Quinn reached the breach seconds later. Concrete steps dropped away, hidden behind a battered yellow enamel sign that still proclaimed ENTER HERE FOR THE NORTHERN LINE. Rainwater cascaded down the treads in silvery sheets. She gripped the rail, cold iron under wet palms, and listened. Bootfalls echoed below, then fell silent. A faint green glow flickered once from the depths and died. "Suspect entered abandoned Tube station south of Camden Lock. Request backup at secondary entry points." The radio hissed. Control voiced caution about unauthorised access, structural collapse, unknown numbers below. Quinn clipped the handset back without reply. Her boots found the first submerged stair. Water closed over her ankles. The smell rose next: damp earth, iron, and something sweet like old incense. She descended three steps further. Her leather watch face caught the last street-level light and then the darkness swallowed that too. Farther down, the stairwell opened into a tiled ticket hall forever frozen in graffiti and rust. Silhouettes of old barriers still waited for tickets never stamped. The green neon of the Raven's Nest would have been comforting compared to this. Here the only light leaked from a crack in the far wall where someone had prised two slabs of mosaic apart. A narrow tunnel waited beyond, edges blacked by candle fat and chalk marks. The hooded figure's steps headed that way. Quinn approached the crack. Beyond lay The Veil Market, an abandoned station deeper still, bones and stalls and people who carried bone tokens as keys. She had no token. No warrant that reached this far under London. Only the image of DS Morris three years dead and a case file that still whispered the same half-explained stains on the floor of a warehouse. She pressed her shoulder to the cold tiles beside the opening and listened. Voices murmured farther in. Footfalls left wet prints that already dried. Her radio clicked once more, backup five minutes out if the sat-nav found the right manhole. Rainwater continued to stream down the steps behind her. The market waited. Quinn straightened. Her right hand rested against the butt of the Glock at her hip. The left lifted the worn leather watch into the dull light of a distant candle. Time ticked. The decision balanced on the wet edge of that crack in the wall: step through into the territory where the rules of the Metropolitan Police thinned to smoke, or hold the line for numbers that might never arrive.
created_at"2026-07-08T19:55:31.862Z" 7/8/2026, 7:55:31 PM
model"x-ai/grok-4.5-20260708"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency428
moderation_latency(null)
generation_time42402
tokens_prompt1140
tokens_completion1950
native_tokens_prompt1186
native_tokens_completion2273
native_tokens_completion_images(null)
native_tokens_reasoning886
native_tokens_cached1152
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"
usage0.014282
router(null)
provider_responses
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endpoint_id"0e927811-b1a8-4604-8b86-db5ce6eaa87c"
id"47754227-3ed1-9236-b780-2d75042facde"
is_byokfalse
latency108
model_permaslug"x-ai/grok-4.5-20260708"
provider_name"xAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1783540531-2AGtR8zkbkj56l6MiwA5"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783540531-jUoX7nSjkT62eu1jfuu2"
upstream_id"47754227-3ed1-9236-b780-2d75042facde"
total_cost0.014282
cache_discount0.001728
upstream_inference_cost0
provider_name"xAI"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
95.40% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1086
totalAiIsmAdverbs1
found
0
adverb"sharply"
count1
highlights
0"sharply"
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)
67.77% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1086
totalAiIsms7
found
0
word"measured"
count1
1
word"gloom"
count1
2
word"echoed"
count1
3
word"flickered"
count1
4
word"depths"
count1
5
word"comforting"
count1
6
word"mosaic"
count1
highlights
0"measured"
1"gloom"
2"echoed"
3"flickered"
4"depths"
5"comforting"
6"mosaic"
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)
82.71% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount1
narrationSentences95
filterMatches
0"watch"
hedgeMatches
0"tried to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences99
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen38
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1086
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions1
unquotedAttributions0
matches(empty)
78.23% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions49
wordCount1045
uniqueNames27
maxNameDensity1.44
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Neal2
Street3
Soho1
Harlow1
Quinn15
Raven2
Nest2
Covent1
Garden1
Long1
Acre1
Yard1
Thai1
Monmouth1
Tottenham1
Court1
Bloomsbury1
Road1
Tube1
Veil1
Market2
London1
Morris1
Glock1
Metropolitan1
Police1
Water3
persons
0"Neal"
1"Harlow"
2"Quinn"
3"Raven"
4"Nest"
5"Thai"
6"Court"
7"Market"
8"Morris"
9"Police"
10"Water"
places
0"Street"
1"Soho"
2"Covent"
3"Garden"
4"Monmouth"
5"Tottenham"
6"Road"
7"London"
globalScore0.782
windowScore0.833
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
wordCount1086
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences99
matches
0"headed that way"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs21
mean51.71
std27.56
cv0.533
sampleLengths
084
172
23
376
470
54
657
769
810
919
1068
1164
1280
1362
1415
1567
1674
1770
1840
1912
2070
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences95
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs179
matches
0"was already darting"
27.42% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount4
flaggedSentences4
totalSentences99
ratio0.04
matches
0"Water streamed from her closely cropped salt-and-pepper hair into her eyes; she blinksed once, hard, and kept the pursuit."
1"A barrow of wilted flowers overturned; petals plastered themselves to Quinn's coat like wet confetti."
2"One cab shaved the kerb beside Quinn's left boot; the wing mirror clipped her sleeve."
3"Quinn hit it two heartbeats later, shoulder first; the latch sprung under military force."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1054
adjectiveStacks1
stackExamples
0"same half-explained stains"
adverbCount32
adverbRatio0.030360531309297913
lyAdverbCount8
lyAdverbRatio0.007590132827324478
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences99
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences99
mean10.97
std6.5
cv0.592
sampleLengths
019
128
219
318
416
519
69
79
819
93
106
114
1222
138
1414
1515
167
1718
183
1915
2014
2110
2210
234
244
2515
266
2714
2818
298
3015
316
3210
3312
346
357
365
378
382
3919
409
418
4220
439
442
459
4611
4713
484
4912
67.00% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.41414141414141414
totalSentences99
uniqueOpeners41
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount5
totalSentences91
matches
0"Instead the hood twisted just"
1"Just the motion of flight."
2"Only rain answered before the"
3"Instantly the lighting thinned."
4"Only the image of DS"
ratio0.055
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount18
totalSentences91
matches
0"She drove forward, closing the"
1"Her sharp jaw set and"
2"She vaulted the mess without"
3"She spun free, never losing"
4"She stumbled through, regainoing balance"
5"She drew her radio but"
6"She released the transmit key"
7"She rolled across its bonnet,"
8"Her cropped hair plastered dark"
9"She closed again to fifteen"
10"She gripped the rail, cold"
11"Her boots found the first"
12"She descended three steps further."
13"Her leather watch face caught"
14"She had no token."
15"She pressed her shoulder to"
16"Her radio clicked once more,"
17"Her right hand rested against"
ratio0.198
53.41% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount74
totalSentences91
matches
0"Detective Harlow Quinn kicked off"
1"Water streamed from her closely"
2"The leather strap of her"
3"The figure cut left into"
4"Quinn followed on the same"
5"A dustbin lid clattered away"
6"She drove forward, closing the"
7"Her sharp jaw set and"
8"The words cut across the"
9"The figure never slowed."
10"Tourists in plastic ponchos scattered"
11"A barrow of wilted flowers"
12"She vaulted the mess without"
13"The suspect's path wove past"
14"Taxi horns blared."
15"She spun free, never losing"
16"The tiny courtyard stank of"
17"A cook in a stained"
18"Quinn shouldered past him."
19"The figure ripped open a"
ratio0.813
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences91
matches(empty)
ratio0
69.97% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences49
technicalSentenceCount5
matches
0"Quinn followed on the same path, boots finding purchase on the rain-slicked stone that should have betrayed any civilian."
1"Her sharp jaw set and her breath came steady, measured, as if drilled on parade ground rather than street."
2"The suspect hit the road surface of Tottenham Court, weaving through night traffic like a man who owned the gaps."
3"Quinn's boots punched through ankle-deep water that tried to suck her down."
4"Beyond lay The Veil Market, an abandoned station deeper still, bones and stalls and people who carried bone tokens as keys."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags0
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
87.8634%