Run: 2026-07-08-01KX1MRHWCMVMA14KPJBWD7TH0

Run Details

Duration:
1m 12s
Cost:
$0.028526
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
The green neon of The Raven's Nest bled sickly light through sheets of rain that turned Soho pavement into a black mirror. Detective Harlow Quinn stood opposite the entrance, salt-and-pepper hair flattened to her skull, brown eyes locked on the scarred oak door. Water traced the sharp line of her jaw. The worn leather watch on her left wrist marked each second with the same military precision that held her shoulders square against the downpour. The door kicked open. Tomás Herrera stepped out into the deluge, curly dark brown hair already glistening, olive skin catching neon along the planes of his face. The Saint Christopher medallion bounced once against his chest. Rain glossed the pale scar that ran the length of his left forearm as he shrugged a satchel higher on his shoulder and scanned the street. Quinn crossed the road in four strides. “Herrera. Remain where you are.” He spun. Warm brown eyes widened. Then he ran. Boots hammered wet tarmac. Quinn erupted after him, coat snapping like torn sailcloth. Tomás cut through a knot of late drinkers outside a basement club. She drove her shoulder through the same gap and the crowd scattered under umbrellas. Puddles detonated beneath every footfall. Neon from strip-club signs smeared across the road in long rivers of red and electric blue. A black cab blared its horn. Tomás vaulted the bonnet in one fluid motion. Quinn clipped the wing mirror, spun, and kept closing the distance without breaking stride. “Metropolitan Police! Stop!” Her voice tore raw out of her chest. He flung a glance over his shoulder. “You have no idea what you are chasing, Detective.” Soho funnelled them north into a maze of service alleys where skip bins smelled of old beer and rain-diluted grease. Tomás’s longer legs gained half a pace. Quinn matched it with pure efficiency: knees high, elbows tight, no wasted motion. Rain needled her face until her vision swam, yet she never lost the bouncing medallion in the dark. He vaulted a waist-high chain, sleeves riding up to bare the full white seam of that scar. She cleared the same chain half a second later, palm scraping brick, fingers raw. They burst onto Tottenham Court Road where traffic lights bled colour into the flooded gutters. Pedestrians with collars turned high parted left and right. Tomás clipped a courier cyclist; the bike skidded, showering sparks across the tarmac. Quinn hurdled the fallen machine without slackening. Her lungs seared. Eighteen years of foot chases had carved knowledge of her body into every muscle: the fire that started in calves, the band of iron tightening around ribs, the copper taste that meant she still had four more minutes before performance dropped. She refused the drop. He cut east then north again. Architecture shifted from narrow Victorian fronts to wider paved arteries lined with plane trees whose branches dumped fresh curtains of water onto the chase. Streetlights stretched the fleeing silhouette into something elongated and wrong. Quinn’s pulse slammed against her collarbones. Three years ago another partner vanished into similar wet darkness under circumstances that still refused daylight explanation. She had buried the file, yet the memory surfaced now as cold clarity rather than grief. The clique kept secrets. Tomás Herrera delivered things off books for that clique. She would not lose him tonight. Near Mornington Crescent he risked a look back. Rain had plastered the dark curls tight to his skull and rinsed fresh red from a graze on the scarred forearm where he must have struck masonry. “Walk away, Quinn. This ends badly above ground or below.” She closed half the gap again. “Then surrender and explain it downtown.” He shook his head and plunged down a side lane that smelled of wet brick and diesel. At the far end the abandoned station entrance waited under a single buzzing sodium lamp whose light barely reached the top of the descending stairs. Corrugated hoarding leaned askew. Years of moss blackened the concrete rim. A rusted gate hung half open on hinges that looked too new for the neglect painted around them. Tomás stopped long enough to dig into his satchel. His fingers emerged clutching a small carved fragment the colour of old ivory. He pressed the bone token into a recess that vanished into the crumbling mortar itself. Metal ground against stone. The gate shuddered wider. Cold air rolled upward, thick with the stink of ozone, cheap incense, and something metallic that did not belong to any ordinary market. He turned on the threshold, medallion swinging. “You lack the token. You lack the welcome. The Veil Market does not forgive tourists, Detective. Choose now.” Then he vanished down the stairs two at a time. Quinn halted at the lip of the descent. Rain sheeted off her coat and pooled at her boots. Below, the abandoned Tube platform glimmered with distant amber haze and flickered with shadows that moved without owners. Voices drifted up in a language she did not recognise, underscored by the slap of more footsteps and the low drone of bartering that belonged neither to Camden nor to any legal commerce in the city. The bone token still glowed faintly in the recess, a cold invitation or a trap. Her hand hovered beside the silent radio on her belt. Calling it in meant reports, backup, lights, the entire machinery of the Metropolitan Police rolling into a place that shifted location by the moon and admitted no one without bone. She eased her weight forward onto the first cracked tread. Water streamed from the peak of her cropped hair and traced fresh lines down the sharp angle of her jaw. The leather watch ticked against her racing pulse. DS Morris had walked into unexplained dark and never walked out. This entrance smelled the same: wet earth, old secrets, danger without logo or warrant card. She could turn back. Flag the site. Wait for morning when the market would already have folded itself away under the next full moon. Evidence would dissolve. Ferrying of banned alchemical compounds would continue. The clique would seal tighter. Or she could step into the blackness alone, without token, without backup, into territory that sold information with blood prices attached. Quinn flexed her empty fingers, knuckles white against the rain. One boot scraped further down the step. Brown eyes narrowed against the gloom that waited to swallow every remaining scrap of her authority. The green neon of Soho already felt a city away. She drew a breath that scraped her throat raw and made the decision.
created_at"2026-07-08T19:55:00.371Z" 7/8/2026, 7:55:00 PM
model"x-ai/grok-4.5-20260708"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency415
moderation_latency(null)
generation_time72378
tokens_prompt1140
tokens_completion2680
native_tokens_prompt1186
native_tokens_completion4647
native_tokens_completion_images(null)
native_tokens_reasoning3315
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"
usage0.028526
router(null)
provider_responses
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endpoint_id"0e927811-b1a8-4604-8b86-db5ce6eaa87c"
id"be76db32-7cf0-98a7-ade7-78395be08d5c"
is_byokfalse
latency111
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-1783540500-20kNaeaUdIDRKXM7yhi9"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783540500-vgaglYjW18tFbqulRSph"
upstream_id"be76db32-7cf0-98a7-ade7-78395be08d5c"
total_cost0.028526
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
totalTags1
adverbTagCount0
adverbTags(empty)
dialogueSentences6
tagDensity0.167
leniency0.333
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1090
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)
40.37% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1090
totalAiIsms13
found
0
word"traced"
count2
1
word"glistening"
count1
2
word"scanned"
count1
3
word"footfall"
count1
4
word"electric"
count1
5
word"pulse"
count2
6
word"flickered"
count1
7
word"footsteps"
count1
8
word"weight"
count1
9
word"racing"
count1
10
word"gloom"
count1
highlights
0"traced"
1"glistening"
2"scanned"
3"footfall"
4"electric"
5"pulse"
6"flickered"
7"footsteps"
8"weight"
9"racing"
10"gloom"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches2
maxInWindow1
found
0
label"eyes widened/narrowed"
count2
highlights
0"eyes widened"
1"eyes narrowed"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences85
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences85
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences90
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen41
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1090
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions1
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions41
wordCount1039
uniqueNames21
maxNameDensity0.87
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Raven1
Nest1
Soho3
Harlow1
Quinn9
Herrera2
Saint1
Christopher1
Tottenham1
Court1
Road1
Victorian1
Mornington1
Crescent1
Tube1
Camden1
Metropolitan1
Police1
Morris1
Tomás7
Rain4
persons
0"Raven"
1"Nest"
2"Harlow"
3"Quinn"
4"Herrera"
5"Saint"
6"Christopher"
7"Police"
8"Morris"
9"Tomás"
10"Rain"
places
0"Soho"
1"Tottenham"
2"Court"
3"Road"
4"Mornington"
5"Crescent"
6"Camden"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences69
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.917
wordCount1090
matches
0"neither to Camden nor"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences90
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs22
mean49.55
std33.52
cv0.677
sampleLengths
075
162
212
39
488
511
616
789
892
998
1045
1112
1271
1368
1425
1510
1687
17104
1839
1921
2043
2113
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences85
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs167
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount1
flaggedSentences1
totalSentences90
ratio0.011
matches
0"Tomás clipped a courier cyclist; the bike skidded, showering sparks across the tarmac."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1044
adjectiveStacks0
stackExamples(empty)
adverbCount31
adverbRatio0.029693486590038315
lyAdverbCount4
lyAdverbRatio0.0038314176245210726
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences90
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences90
mean12.11
std7.69
cv0.635
sampleLengths
022
121
28
324
44
523
69
726
87
95
102
114
123
134
149
1512
1614
175
1816
196
208
2114
2211
237
249
2520
267
2713
2818
2917
3014
3115
329
3313
347
353
3641
374
386
3924
4010
416
4217
4316
444
459
466
478
4827
4910
82.22% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats1
diversityRatio0.5
totalSentences90
uniqueOpeners45
79.37% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences84
matches
0"Then he ran."
1"Then he vanished down the"
ratio0.024
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount20
totalSentences84
matches
0"She drove her shoulder through"
1"Her voice tore raw out"
2"He flung a glance over"
3"He vaulted a waist-high chain,"
4"She cleared the same chain"
5"They burst onto Tottenham Court"
6"Her lungs seared."
7"She refused the drop."
8"He cut east then north"
9"She had buried the file,"
10"She would not lose him"
11"She closed half the gap"
12"He shook his head and"
13"His fingers emerged clutching a"
14"He pressed the bone token"
15"He turned on the threshold,"
16"Her hand hovered beside the"
17"She eased her weight forward"
18"She could turn back."
19"She drew a breath that"
ratio0.238
55.24% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount68
totalSentences84
matches
0"The green neon of The"
1"Detective Harlow Quinn stood opposite"
2"Water traced the sharp line"
3"The worn leather watch on"
4"The door kicked open."
5"Tomás Herrera stepped out into"
6"The Saint Christopher medallion bounced"
7"Rain glossed the pale scar"
8"Quinn crossed the road in"
9"Boots hammered wet tarmac."
10"Quinn erupted after him, coat"
11"Tomás cut through a knot"
12"She drove her shoulder through"
13"Puddles detonated beneath every footfall."
14"Neon from strip-club signs smeared"
15"A black cab blared its"
16"Tomás vaulted the bonnet in"
17"Quinn clipped the wing mirror,"
18"Her voice tore raw out"
19"He flung a glance over"
ratio0.81
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences84
matches(empty)
ratio0
47.62% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences45
technicalSentenceCount6
matches
0"The worn leather watch on her left wrist marked each second with the same military precision that held her shoulders square against the downpour."
1"Eighteen years of foot chases had carved knowledge of her body into every muscle: the fire that started in calves, the band of iron tightening around ribs, the …"
2"Below, the abandoned Tube platform glimmered with distant amber haze and flickered with shadows that moved without owners."
3"Calling it in meant reports, backup, lights, the entire machinery of the Metropolitan Police rolling into a place that shifted location by the moon and admitted…"
4"Or she could step into the blackness alone, without token, without backup, into territory that sold information with blood prices attached."
5"Brown eyes narrowed against the gloom that waited to swallow every remaining scrap of her authority."
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
90.1604%