Run: 2026-07-08-01KX1KP2A8KNHPKMW7NQ2ZRSWG

Run Details

Duration:
2m 11s
Cost:
$0.013208
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 hammered the pavements of Camden High Street like stone fists, each drop exploding against the cracked tarmac and turning the night shopfronts into smears of neon red and acid green. Detective Harlow Quinn cut through the downpour, boots slamming water into arcs that slapped her trousers. Her closely cropped salt-and-pepper hair plastered against her scalp. The worn leather watch on her left wrist slapped her skin with every pump of her arms. Ahead, the figure in the dark coat vaulted a bike rack and skidded into an alley, shoulders hunched against the deluge. She gained two strides on him by the bins. The sharp line of her jaw locked tight as she closed. "Stop! Metropolitan Police!" Her voice bounced off wet brick and vanished in the roar of water from a broken gutter. The man—olive skin catching a streetlamp, short curly dark hair, Saint Christopher medallion bouncing at his throat—did not look back. Tomás Herrera. Quinn recognised the medallion from the file photo, the scar along his left forearm flashing pale when he shoved a crate aside. He ducked left past a shuttered kebab shop. Quinn took the corner wide to keep her footing. Tyres hissed on the main road behind them. A black cab swerved, horn blaring, and nearly clipped her shoulder as she lunged after him. She planted a boot on a low wall, swung over, and dropped into a service yard littered with pallets slick with rain. Herrera scrambled up a fire escape three floors of rusty iron that groaned under his weight. Quinn climbed after him, metal bars cold and slippery under her palms. Midway she caught his ankle. He kicked free and the boot heel clipped her cheekbone, bright pain flaring across her face. At the roof he jumped the gap to the next building. Quinn followed without pause, landing hard, knees absorbing the shock. Rain sheeted off the tar paper. Herrera stumbled near a vent, recovered and sprinted for the far edge where a ladder dangled into the alley beyond. She closed again, lunged, fingers grazing the back of his coat. Fabric tore. He tore free and tumbled down the ladder rungs, boots missing every other one. On the ground he hit a side street and broke into a flat-out run toward the railway arches. Quinn’s lungs burned. Eighteen years on the force, three since she buried DS Morris, and still the old fire drove her legs. She tore her radio free mid-stride. "Suspect heading south under Camden Lock. Dark coat, male, Hispanic appearance, age late twenties. I want units on the northbound platform and the tunnels sealed." Static answered, then a clipped confirmation. She clipped the radio and pushed harder. Water drowned every other sound. Herrera glanced back once—warm brown eyes wide, medallion swinging—and cut sharp into a narrow archway that stank of damp concrete and stagnant water. A fracture in the brick led to a boarded spiral stair. He ripped the bottom board free and vanished downward into darkness. Quinn paused only long enough to draw a torch. The beam sliced the wet black. Steps slick with moss carried her after him. Somewhere below metal scraped, a bolt drawn. When she reached the bottom the corridor branched. Faint yellow light leaked from the left passage. She took it, gun still holstered, torch swinging. The floor became broken paving, the air warmer, thicker with incense and something metallic. Voices murmured ahead, low and layered like underground currents. The passage opened into a vaulted chamber the size of a small warehouse, abandoned Tube signs still bolted to the walls, tiles cracked and stained. Stall holders had set up fold-out tables under battery-powered lanterns. Glass vials glowed with pale blue liquid. Feathers and bones hung from strings. One woman sold bottled breaths that drifted like smoke inside crystal. Another offered maps inked on skin. The Veil Market. Quinn had heard the whispers for years—moves every full moon, bone token only—but never stood inside its perimeter. Herrera weaved between two stalls, flashed something small and pale—a token carved from bone—to a large man by a hanging curtain of black cloth. The man nodded. Herrera ducked through and vanished. Quinn halted at the edge of the lantern light. A dozen pairs of eyes shifted toward her rain-soaked clothes, the Metropolitan Police warrant card clipped to her coat. Conversations faltered. The large man stepped into her path, arms folded over a chest hard as wet pavement. "Token." She kept the torch low, beam fixed on the curtain. Water dripped from her sleeves onto the dusty tiles. "I’m after a man. Tomás Herrera. He just went through." "Doesn’t matter who. No token, you stay on this side." A younger seller with iron piercings along one ear drifted closer, voice soft and sharp together. "You flash that badge down here, detective, it buys you nothing but trouble. Look around. These people already risk locked cells for breathing wrong. One of yours walking legal turns them into rats in a trap." Quinn’s eyes never left the curtain. She tasted copper where the boot had split her lip. The radio on her belt crackled again—units checking in, still above ground and losing time. Somewhere deeper past the cloth she heard boots on stone, moving away. The large man rolled his shoulders. "Leave or I drag you back up those stairs myself. Your call." Quinn shifted her weight. The leather watch ticked against her pulse. Behind her the rain still hammered the world above. Ahead lay the market’s throat—unfamiliar, packed with faces that watched every twitch of her hand. She could radio the teams, force entries, flood the place with uniforms and torches. Or she could walk through now, alone, and keep eyes on Herrera before the trail dissolved into the next full-moon relocate. A stall holder laughed under her breath, low and cutting. "Make it quick, copper. Some of us have places to be before the shift turns." Quinn’s free hand rested above her holster. The torch beam steadied on the black cloth.
created_at"2026-07-08T19:36:10.319Z" 7/8/2026, 7:36:10 PM
model"x-ai/grok-4.5-20260708"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency78692
moderation_latency(null)
generation_time119270
tokens_prompt1140
tokens_completion1782
native_tokens_prompt1186
native_tokens_completion2094
native_tokens_completion_images(null)
native_tokens_reasoning823
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"
usage0.013208
router(null)
provider_responses
0
endpoint_id"0e927811-b1a8-4604-8b86-db5ce6eaa87c"
is_byokfalse
latency114
model_permaslug"x-ai/grok-4.5-20260708"
provider_name"xAI"
status(null)
1
endpoint_id"78a73286-52c4-4d1d-9d13-c1870c25b143"
id"14e2f55a-4dd8-912b-9702-879d63c52f0c"
is_byokfalse
latency479
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-1783539370-TcLGi6SvVKcMRwI53vpy"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783539370-Du1IZKQS116IJeaaphg9"
upstream_id"14e2f55a-4dd8-912b-9702-879d63c52f0c"
total_cost0.013208
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
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1013
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)
80.26% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1013
totalAiIsms4
found
0
word"weight"
count2
1
word"crystal"
count1
2
word"pulse"
count1
highlights
0"weight"
1"crystal"
2"pulse"
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
narrationSentences78
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences78
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences86
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen36
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1003
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions0
unquotedAttributions0
matches(empty)
82.66% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions31
wordCount891
uniqueNames14
maxNameDensity1.35
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Camden1
High1
Street1
Harlow1
Quinn12
Saint1
Christopher1
Herrera7
Morris1
Tube1
Veil1
Market1
Metropolitan1
Police1
persons
0"Harlow"
1"Quinn"
2"Saint"
3"Christopher"
4"Herrera"
5"Morris"
6"Tube"
7"Police"
places
0"Camden"
1"High"
2"Street"
globalScore0.827
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
wordCount1003
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences86
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs26
mean38.58
std31.36
cv0.813
sampleLengths
095
120
23
378
495
574
646
725
863
954
10109
1132
1246
131
1419
1510
1610
1716
1836
1943
206
2112
2270
2310
2415
2515
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences78
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs157
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount10
semicolonCount0
flaggedSentences6
totalSentences86
ratio0.07
matches
0"The man—olive skin catching a streetlamp, short curly dark hair, Saint Christopher medallion bouncing at his throat—did not look back."
1"Herrera glanced back once—warm brown eyes wide, medallion swinging—and cut sharp into a narrow archway that stank of damp concrete and stagnant water."
2"Quinn had heard the whispers for years—moves every full moon, bone token only—but never stood inside its perimeter."
3"Herrera weaved between two stalls, flashed something small and pale—a token carved from bone—to a large man by a hanging curtain of black cloth."
4"The radio on her belt crackled again—units checking in, still above ground and losing time."
5"Ahead lay the market’s throat—unfamiliar, packed with faces that watched every twitch of her hand."
88.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount909
adjectiveStacks2
stackExamples
0"short curly dark hair,"
1"under battery-powered lanterns."
adverbCount22
adverbRatio0.0242024202420242
lyAdverbCount5
lyAdverbRatio0.005500550055005501
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences86
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences86
mean11.66
std6.82
cv0.585
sampleLengths
032
116
29
317
421
59
611
73
817
920
102
1122
128
139
148
1516
1622
1716
1812
195
2016
2111
2210
236
2420
2511
262
2714
2818
293
3019
316
3225
336
347
355
3623
3711
3811
399
406
418
427
438
448
458
4614
479
4825
4910
77.52% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats0
diversityRatio0.46511627906976744
totalSentences86
uniqueOpeners40
88.89% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences75
matches
0"Somewhere below metal scraped, a"
1"Somewhere deeper past the cloth"
ratio0.027
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount15
totalSentences75
matches
0"Her closely cropped salt-and-pepper hair"
1"She gained two strides on"
2"Her voice bounced off wet"
3"He ducked left past a"
4"She planted a boot on"
5"He kicked free and the"
6"She closed again, lunged, fingers"
7"He tore free and tumbled"
8"She tore her radio free"
9"She clipped the radio and"
10"He ripped the bottom board"
11"She took it, gun still"
12"She kept the torch low,"
13"She tasted copper where the"
14"She could radio the teams,"
ratio0.2
40.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount63
totalSentences75
matches
0"The rain hammered the pavements"
1"Detective Harlow Quinn cut through"
2"Her closely cropped salt-and-pepper hair"
3"The worn leather watch on"
4"She gained two strides on"
5"The sharp line of her"
6"Her voice bounced off wet"
7"The man—olive skin catching a"
8"Quinn recognised the medallion from"
9"He ducked left past a"
10"Quinn took the corner wide"
11"Tyres hissed on the main"
12"A black cab swerved, horn"
13"She planted a boot on"
14"Herrera scrambled up a fire"
15"Quinn climbed after him, metal"
16"Midway she caught his ankle."
17"He kicked free and the"
18"Quinn followed without pause, landing"
19"Rain sheeted off the tar"
ratio0.84
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences75
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences41
technicalSentenceCount2
matches
0"Detective Harlow Quinn cut through the downpour, boots slamming water into arcs that slapped her trousers."
1"Herrera scrambled up a fire escape three floors of rusty iron that groaned under his weight."
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
88.5775%