Run: 2026-09-23-01M36SRXX0ACCDFSE3CA0HBR3C

Run Details

Duration:
3m 33s
Cost:
$0.061021
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 flattened Camden High Street into a sheet of oil and brake-light red. Harlow Quinn ran the crown of it with her weight pitched forward, boots on the white line, breath locked to a four-count she had carried out of training school and never set down. Ahead, Tomás Herrera's grey hood cut through the spill from a shuttered record shop. He ran clean. No wasted arms. A man who had spent years on his feet before anyone asked him to flee. A night bus ploughed the standing water. He went behind it. She went in front, close enough to taste hot rubber, and came out on the far kerb with him still inside her reach. "Herrera. Stop." He threw a look over his shoulder. Rain sat in his short curls. The Saint Christopher medallion jumped at his throat. "Walk away, Quinn." "You walk. I walk with you. We put this on tape." "No tape. Not tonight." He broke into a lane where the takeaway vents breathed grease and steam. A cook in a doorway spat a curse Quinn let pass. Herrera's sleeve caught a stack of crates. Oranges broke loose and ran the gutter in a bright scatter. Her boot found one, rolled, and she corrected with a hard plant of her left foot. The worn leather watch on that wrist knocked brick. Water tracked the line of her jaw and vanished into her collar. Cropped hair, salt and pepper, lay flat against her skull. The lane pinched between bins and a chained bicycle. He took the chain in one hand and swung the frame, and the motion dragged his sleeve to the elbow. Olive skin. A scar the length of the forearm, pale against the wet, the track of a blade that had known the map of a body. He vanished at the bend. Quinn hit the corner and found empty pavement. Steam from a basement vent. A florist with the shutters down. Posters peeling off a development hoarding in long wet tongues. She halted. Blind speed wasted the one advantage she still held, and she listened the way she had listened in stairwells and custody suites for eighteen years. Water ticked in a downpipe. A radio somewhere played with the volume turned mean. Then, under it, the particular slap of a trainer on mossed stone, below the street, to her left. She moved. A gap in the hoarding opened on a stair the builders had meant to bury. Green tile clung to the walls in diseased patches. Herrera was eight steps down, one hand on the rail, the other clenched around a pale sliver. "Metropolitan Police. You are not under arrest. Keep running and I fix that." "You can't fix what's under this street." Seville sat in his vowels. London sat in the pace. "Call your unit. Send them to the canal. Send them anywhere above ground." "I don't take directions from a man in flight." "Then take them from a man who stitches people your hospitals never log." She descended. Her shoulders brushed tile. The radio at her belt spat static and died under the concrete, the way signals died when the city got serious. She thumbed the pressel, heard nothing, and let the set hang. Above, rain kept its argument with the roofs. Below, his footsteps changed pitch, stair to flat ground. The passage still wore the bones of a Tube station. A roundel with the name scraped off. A platform edge with no train due, not for years. Dust lay thick except where his prints cut a line to the far wall. Quinn crossed the yellow mark that no longer governed anything and closed to a body's length. He turned. Warm brown eyes. A day's stubble. The medallion's chain bitten where he worried it. Both hands stayed where she could see them. In the right fist sat a piece of bone, drilled at one end, worn smooth by pockets. "Put it down." "It isn't a weapon." "A running man's hand makes that decision, not his mouth." "You want the people I treat. I want them breathing. Those two facts don't share your interview room." He backed toward a section of tile darker than the rest, a groove cut in the ceramic at the height of his chest. "The Raven's Nest sent a girl with her ribs in the wrong place. I put them back. Arrest the hands that did it up in the rain, where your rules still fit." "She never gave a statement. The barman forgot her name between my first question and my second. That's not medicine. That's a mess, and I walk through messes until they have a shape." "Some shapes cut." He pressed the bone into the groove. The answer came small. A click. Then a long exhale of air that belonged to no tunnel she had walked. Heat. Anise. Hot copper. Candle wax. The tile opened on a seam no engineer had drawn, and light poured through in a colour closer to amber than to any lamp on the street above. Stalls stood on the old tracks, wood black with handling. Jars in ranks, wax seals, powders the shade of rust and dried moss. A woman lifted a cloth and showed a buyer a fan of silver needles that threw the lamplight back in points. Maps covered a wall, curled at the edges, marked with lines that matched no A to Z in Quinn's coat. People filled the aisles. Velvet cuffs. Elbows out. None of them startled at a door in a dead station. All of them looked at Herrera, then at her. He stepped through. A woman filled the seam before Quinn's next stride landed. Thick arms. Grey hair clubbed at the nape. A bone token hung at her belt on a brass ring, and beside it a knife in a plain sheath, handle dark from use. "Token." Quinn had the warrant card out. Rain warped the laminate at the corners. "Detective Harlow Quinn. Metropolitan Police. That man sits inside an active inquiry. Move." "Bone. Or the stair." The woman's gaze took the card, the wet wool, the jaw, the set of Quinn's shoulders, and spent nothing on any of it. "Badges rot down here. We don't buy them." "I'm not selling." "Then you're lost." Herrera had slowed between a stall of black feathers and a table of sealed tins. He had counted on the threshold to finish her. When she held her ground he turned, scar a white line as he lifted one hand, the halt meant for her and not for the trade. "Quinn. Hear her. They sell names out of those jars as often as they sell powder. Your cases. Your warrant. The night Morris didn't walk back out. All of it carries a price on this side of the seam, and a worse one if you drag me past her." "You don't spend his name to buy a head start." "I spend it to keep you on the stair." His mouth tightened. The medallion ticked against his chest as his breath came down. "I lost my licence treating people your wards won't admit. I didn't lose it so you could bleed between a feather stall and a tin with no label because the climb offended you." The gatekeeper's hand settled on the sheath. She left the blade where it was. Her patience did not stay with it. "The seam closes. Decide, or I decide." Quinn measured the ground. The market ran past the length any platform had a right to claim. Lamps on chains. Trade in a low murmur. Herrera's curls still shedding rain, his weight already shifted toward a gap in the stalls, a place her map did not hold and her radio could not reach. No token in her pocket. No second officer on the step behind her. Up the stair, the city would take a lost-visual note and file it before the shift turned over. Down here, the air smelled of anise and hot metal, and a woman with a knife had named the cost out loud. The curtain in the Nest's back room still carried a rust-brown hem no one had soaked out. The barman had gone empty mid-sentence and stayed empty. Morris's desk sat cleared in a room that had never received a reason. None of that lived on the stair. She slid the warrant card into her coat. "I'm not climbing." "No token," the woman said. "You enter, you leave the police on the tile. Guests without an invitation pay in whatever this market takes." "Open the tab." Quinn set her boot across the iron lip. Heat met the wet wool. Wood took her weight where tile had been, and she planted the foot and held the ground.
created_at"2026-09-23T09:32:58.666Z" 9/23/2026, 9:32:58 AM
model"x-ai/grok-4.7-20260916"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency601
moderation_latency(null)
generation_time213328
tokens_prompt1104
tokens_completion4315
native_tokens_prompt2222
native_tokens_completion12260
native_tokens_completion_images(null)
native_tokens_reasoning10444
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"
usage0.0610208
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790155978-vHF5n1LeFUmm87Wpnqn4"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790155978-R8o3hOVjMbOEuJgdZurn"
upstream_id"5100e4bc-68fc-9dbc-a25a-a84766249859"
provider_responses
0
endpoint_id"c942f37a-87e1-4fa8-83d0-8c67fda4fb4a"
id"5100e4bc-68fc-9dbc-a25a-a84766249859"
is_byokfalse
latency601
model_permaslug"x-ai/grok-4.7-20260916"
provider_name"xAI"
status200
total_cost0.0610208
cache_discount0.0013824
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
totalTags5
adverbTagCount0
adverbTags(empty)
dialogueSentences31
tagDensity0.161
leniency0.323
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1459
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)
79.44% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1459
totalAiIsms6
found
0
word"weight"
count3
1
word"footsteps"
count1
2
word"velvet"
count1
3
word"measured"
count1
highlights
0"weight"
1"footsteps"
2"velvet"
3"measured"
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
narrationSentences110
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences110
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
maxSentenceWordsSeen49
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1459
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions28
wordCount1114
uniqueNames12
maxNameDensity0.9
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Camden1
High1
Street1
Quinn10
Tomás1
Herrera6
Saint1
Christopher1
London1
Tube1
Nest1
Rain3
persons
0"Quinn"
1"Tomás"
2"Herrera"
3"Saint"
4"Christopher"
5"Rain"
places
0"Camden"
1"High"
2"Street"
3"London"
4"Nest"
globalScore1
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences76
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1459
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
totalParagraphs51
mean28.61
std27.05
cv0.946
sampleLengths
081
134
22
321
43
511
64
789
860
98
1048
1132
122
1341
1413
1530
169
1713
1855
1957
2041
213
224
2310
2473
2533
263
277
2854
2992
303
3142
321
3313
3413
3535
363
373
3850
3949
4010
4156
4221
437
44106
4546
468
473
4824
493
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences110
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs174
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences136
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1119
adjectiveStacks0
stackExamples(empty)
adverbCount17
adverbRatio0.01519213583556747
lyAdverbCount0
lyAdverbRatio0
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
mean10.73
std8.6
cv0.801
sampleLengths
013
133
214
33
43
515
67
74
823
92
107
116
128
133
1411
154
1613
1711
187
1911
2016
219
2212
2310
249
2520
262
2724
285
298
305
316
3210
332
3425
355
369
3718
382
3915
409
4117
4213
4312
445
4513
469
4713
482
494
71.81% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.4485294117647059
totalSentences136
uniqueOpeners61
68.73% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences97
matches
0"Then, under it, the particular"
1"Then a long exhale of"
ratio0.021
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount18
totalSentences97
matches
0"He ran clean."
1"He went behind it."
2"She went in front, close"
3"He threw a look over"
4"He broke into a lane"
5"Her boot found one, rolled,"
6"He took the chain in"
7"He vanished at the bend."
8"Her shoulders brushed tile."
9"She thumbed the pressel, heard"
10"He backed toward a section"
11"He pressed the bone into"
12"He stepped through."
13"He had counted on the"
14"His mouth tightened"
15"She left the blade where"
16"Her patience did not stay"
17"She slid the warrant card"
ratio0.186
63.09% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount77
totalSentences97
matches
0"Rain flattened Camden High Street"
1"Harlow Quinn ran the crown"
2"He ran clean."
3"A man who had spent"
4"A night bus ploughed the"
5"He went behind it."
6"She went in front, close"
7"He threw a look over"
8"Rain sat in his short"
9"The Saint Christopher medallion jumped"
10"He broke into a lane"
11"A cook in a doorway"
12"Herrera's sleeve caught a stack"
13"Oranges broke loose and ran"
14"Her boot found one, rolled,"
15"The worn leather watch on"
16"Water tracked the line of"
17"The lane pinched between bins"
18"He took the chain in"
19"A scar the length of"
ratio0.794
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences97
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences45
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags5
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences31
tagDensity0.032
leniency0.065
rawRatio0
effectiveRatio0
92.2135%