Run: 2026-09-01-01M1ENYQ5YGG8DWA4B012FWMFN

Run Details

Duration:
1m 52s
Cost:
$0.031340
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 rain turned Camden High Street into a black mirror. Detective Harlow Quinn cut through it with her shoulders square, eyes locked on the figure twenty metres ahead. “Control, visual confirmed. Herrera. Dark jacket, heading toward the canal.” The radio crackled against her palm. “Copy, Quinn. Units are six minutes out. Do not engage alone.” “He won’t wait six minutes.” She closed two storefronts of distance before Tomás Herrera glanced back. Rain plastered his curly hair to his forehead. The Saint Christopher medallion at his throat flashed under a streetlamp, then he ducked left into an alley that stank of wet cardboard and spilled beer. Quinn took the corner without breaking stride. Her boots found the slick cobbles and she kept her centre low. The leather watch on her left wrist caught a smear of neon as she ran. Herrera knocked over a stack of crates. Apples rolled into the gutter and burst under her heel. “Police! Stop!” He hit the next turn and vanished behind a skip. A drunk lurched out of a doorway, pint still in hand. “Oi, watch it—” She sidestepped him, palm on the brick to pivot. “Move.” The alley spat her onto a narrower lane. Herrera was already at the far end, olive skin grey in the sodium light, the scar on his left forearm a pale line as he shoved a gate open. She counted his strides. Eight seconds on her. No more. “He’s gone off Inverness, toward the old station approach.” “Quinn, wait for backup. That’s an order.” She killed the radio. The click felt like a door shutting. A black cab rounded the corner too fast, tyres throwing a sheet of filthy water across the kerb. Quinn went over the bonnet with both hands, rolled, hit the pavement on her feet. The cabbie leaned on his horn. She was already gone. Herrera cut through the crowd spilling out of The Black Cap. A woman in a sequinned jacket yelped as he shoved past. Quinn followed the gap he made, warrant card up. “Met Police. Out of the way.” Bodies parted. A man with a buzzcut squared up to her. “You lot always pick on—” She went through him. His protest died against her shoulder. Ahead, Herrera vaulted the low wall at the end of the street and dropped out of sight. Quinn hit the wall a breath later. On the other side, a service road ran downhill toward a boarded-up Tube entrance, the kind the city forgot after the last round of cuts. A chain-link fence sagged where someone had peeled it back. Herrera slipped through the gap like he’d done it a hundred times. She followed. The service road funneled the rain into a single current that tugged at her boots. Graffiti covered the station’s brick mouth in layers, each generation daring the last. A single bulb hung above the entrance, buzzing, half dead. Herrera disappeared down the stairwell. “Herrera!” Her voice came back at her off the tiles, thin and useless. She took the stairs two at a time. Water streamed down the walls and pooled on each landing. The air changed as she descended—colder, thicker, tasting of iron and old paper. Her watch face fogged. She wiped it with her thumb. 23:41. Three years since Morris. Three years of unexplained files and doors that led nowhere. She shoved the thought aside and kept moving. The stairwell opened onto a concourse that should have been gutted. It wasn’t. Light reached her first. Not electric. Not quite. A low amber glow leaked from further in, the colour of old whiskey, pulsing as if something large were breathing on the other side of the dark. Voices followed. Dozens of them, overlapping, none of them English in any dialect she knew. The smell hit next: incense and copper and something sweet that turned her stomach. Herrera’s wet footprints led straight toward it. Quinn drew her warrant card and held it against her thigh. Eighteen years. She had kicked in doors in Peckham and talked jumpers off ledges in Canary Wharf. This was a station. Tiles. Rats. A man she needed to question about a clique that left bodies with no wounds. She went in. The concourse had been converted. Stalls occupied the old ticket hall, built from scavenged wood and iron and things she refused to name. Lanterns hung from the ceiling on chains, their flames the wrong colour—green, then violet, then green again. A woman with too many joints in her fingers sold jars of powder that shifted when Quinn’s gaze passed over them. A man in a butcher’s apron arranged teeth on a velvet cloth. They were not all human. Herrera moved through it with the ease of a regular. He paused at a stall draped in black cloth, spoke to the vendor, accepted a small paper packet. The medallion swung as he turned. Quinn pushed forward. “Tomás Herrera. Stay where you are.” Heads turned. Conversations died in a ripple. The butcher put down a molar. Herrera met her eyes across ten metres of crowded stone. Warm brown. No panic in them. He tucked the packet inside his jacket and walked toward a gap between two stalls, where the concourse narrowed into a tunnel that had once been a platform entrance. A figure stepped into Quinn’s path. The woman was small, grey-haired, wrapped in a coat that looked assembled from other coats. She held out a hand, palm up. The skin there was yellowed, shiny, as if burned and healed a dozen times. “Token.” Quinn lifted the warrant card. “Metropolitan Police. Step aside.” The woman did not look at the card. She looked at Quinn’s empty palm. “Bone token. Full moon rules. You don’t have one, you don’t pass.” Beyond her, Herrera reached the tunnel mouth. He looked back once. The packet made a shape in his jacket. Then the crowd of the market swallowed the space behind him, bodies closing like water. “That man is a suspect in an active investigation. You are obstructing a police officer.” “Down here, your investigation is a story you tell yourself on the way home.” The woman’s fingers curled. “No token. No entry. That’s the only law that holds.” Quinn’s jaw tightened. She could hear her own pulse in her ears, a hard metronome. Backup was still minutes away, up there in the rain, looking for a detective who had gone off-radio. Morris had gone through a door like this. Morris had not come back. The market watched her. The butcher. The woman with too many joints. A boy sitting on a crate, sharpening a knife that threw no reflection. Herrera’s footsteps faded into the tunnel. Quinn looked at her watch. 23:44. She looked at the woman’s empty palm. She looked at the gap where her suspect had been. The leather strap was wet against her wrist. She flexed her fingers once, a soldier’s reset, and put the warrant card away. “I’m going through.” The grey-haired woman smiled with only one side of her mouth. “Then you’d better keep up.” Quinn stepped past her into the tunnel.
created_at"2026-09-01T14:28:45.893Z" 9/1/2026, 2:28:45 PM
model"x-ai/grok-4.6-20260810"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency517
moderation_latency(null)
generation_time111573
tokens_prompt1104
tokens_completion2738
native_tokens_prompt1186
native_tokens_completion4860
native_tokens_completion_images(null)
native_tokens_reasoning3344
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"
usage0.03134
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788272925-UpAvHtnxHaS1TRgegq4Z"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788272925-y6j3w9tNDrS764Jk6dwm"
upstream_id"46e40f08-4b04-920a-8dcf-9ae7c7b5e7c2"
provider_responses
0
endpoint_id"0d0536e3-7eb1-4acb-8249-c8813365c2d8"
id"46e40f08-4b04-920a-8dcf-9ae7c7b5e7c2"
is_byokfalse
latency148
model_permaslug"x-ai/grok-4.6-20260810"
provider_name"xAI"
status200
total_cost0.03134
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
totalTags1
adverbTagCount0
adverbTags(empty)
dialogueSentences20
tagDensity0.05
leniency0.1
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1185
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)
74.68% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1185
totalAiIsms6
found
0
word"lurched"
count1
1
word"electric"
count1
2
word"stomach"
count1
3
word"velvet"
count1
4
word"pulse"
count1
5
word"footsteps"
count1
highlights
0"lurched"
1"electric"
2"stomach"
3"velvet"
4"pulse"
5"footsteps"
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
narrationSentences117
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount0
narrationSentences117
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences136
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen29
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1183
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions43
wordCount1053
uniqueNames17
maxNameDensity1.33
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Camden1
High1
Street1
Harlow1
Quinn14
Tomás1
Herrera12
Saint1
Christopher1
Black1
Cap1
Tube1
Morris3
English1
Peckham1
Canary1
Wharf1
persons
0"Harlow"
1"Quinn"
2"Tomás"
3"Herrera"
4"Saint"
5"Christopher"
6"Morris"
places
0"Camden"
1"High"
2"Street"
3"Black"
4"Peckham"
5"Canary"
globalScore0.835
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences79
glossingSentenceCount1
matches
0"felt like a door shutting"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1183
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences136
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs62
mean19.08
std17.49
cv0.916
sampleLengths
028
110
26
311
45
545
634
717
82
910
1011
113
129
131
1437
1510
169
177
1811
1943
2031
216
2211
235
2427
2554
262
2743
281
2912
3042
3122
3213
3364
347
3549
363
3778
3834
393
406
4113
4245
436
4436
451
465
474
4814
4912
99.27% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences117
matches
0"been gutted"
1"been converted"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs174
matches
0"were breathing"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount0
flaggedSentences2
totalSentences136
ratio0.015
matches
0"The air changed as she descended—colder, thicker, tasting of iron and old paper."
1"Lanterns hung from the ceiling on chains, their flames the wrong colour—green, then violet, then green again."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1060
adjectiveStacks0
stackExamples(empty)
adverbCount23
adverbRatio0.02169811320754717
lyAdverbCount2
lyAdverbRatio0.0018867924528301887
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences136
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences136
mean8.7
std5.94
cv0.683
sampleLengths
010
118
210
36
411
55
611
78
826
97
1012
1115
127
1310
142
1510
1611
173
189
191
208
2129
224
234
242
259
267
274
287
2918
3015
316
324
3311
3411
359
366
372
389
395
404
416
4217
437
4425
4510
4612
472
4815
4913
58.71% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.3880597014925373
totalSentences134
uniqueOpeners52
32.68% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences102
matches
0"Then the crowd of the"
ratio0.01
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount26
totalSentences102
matches
0"She closed two storefronts of"
1"Her boots found the slick"
2"He hit the next turn"
3"She sidestepped him, palm on"
4"She counted his strides."
5"She killed the radio."
6"She was already gone."
7"She went through him."
8"His protest died against her"
9"Her voice came back at"
10"She took the stairs two"
11"Her watch face fogged."
12"She wiped it with her"
13"She shoved the thought aside"
14"She had kicked in doors"
15"She went in."
16"They were not all human."
17"He paused at a stall"
18"He tucked the packet inside"
19"She held out a hand,"
ratio0.255
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount94
totalSentences102
matches
0"The rain turned Camden High"
1"Detective Harlow Quinn cut through"
2"The radio crackled against her"
3"She closed two storefronts of"
4"Rain plastered his curly hair"
5"The Saint Christopher medallion at"
6"Quinn took the corner without"
7"Her boots found the slick"
8"The leather watch on her"
9"Herrera knocked over a stack"
10"Apples rolled into the gutter"
11"He hit the next turn"
12"A drunk lurched out of"
13"She sidestepped him, palm on"
14"The alley spat her onto"
15"Herrera was already at the"
16"She counted his strides."
17"She killed the radio."
18"The click felt like a"
19"A black cab rounded the"
ratio0.922
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences102
matches(empty)
ratio0
69.97% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences49
technicalSentenceCount5
matches
0"A low amber glow leaked from further in, the colour of old whiskey, pulsing as if something large were breathing on the other side of the dark."
1"A woman with too many joints in her fingers sold jars of powder that shifted when Quinn’s gaze passed over them."
2"The woman was small, grey-haired, wrapped in a coat that looked assembled from other coats."
3"Backup was still minutes away, up there in the rain, looking for a detective who had gone off-radio."
4"A boy sitting on a crate, sharpening a knife that threw no reflection."
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
87.2880%