Run: 2026-07-08-01KX1METBFQPN8C2FC1ZRHHZ54

Run Details

Duration:
52.6s
Cost:
$0.017948
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 drove horizontal needles against the black wrought-iron railings of Soho. Detective Harlow Quinn planted her boots and pushed off the kerb, eyes locked on the blur of olive-skinned motion ahead. Tomás Herrera took the corner like a man who knew every cracked flagstone. Water sheeted off the green neon of The Raven's Nest and painted him sicklight as he glanced back once. His short curly dark hair clung flat. The Saint Christopher medallion jumped against his chest with every stride. “Herrera!” Her shout bounced off shuttered restaurant fronts and drowned in the downpour. He kept running. Quinn’s closely cropped salt-and-pepper hair funnelled cold streams down her collar. She matched his pace, military precision holding her form even as her lungs dragged wet air. The worn leather watch on her left wrist flashed once under a streetlight. Midnight and twenty. She closed twenty metres by the time they hit Frith Street. He cut left into an alley reeking of spilled lager and wet cardboard. Puddles shattered under his trainers. Quinn vaulted a toppled bin. The lid spun away and clattered. She landed hard. Pain bit her left ankle yet she drove forward. Herrera’s sleeve rode up. Pale scar tissue ran the length of his forearm, a white lightning bolt against olive. He slapped a hand against the brick and launched himself into Greek Street. A black cab fishtailed past, headlights carving white tunnels through the rain. Herrera used the spray as cover, ducking between two parked vans. Quinn did not slow. She slammed a palm against the van’s wing for balance and kept the suspect in sight. Brown eyes tracked him the way they once tracked fleeing bag-snatchers on the Underground. This was no bag-snatcher. This was the medic who stitched the clique when proper hospitals asked too many questions. “Stop running. You are only making it worse!” His answer came ragged over his shoulder, warm Spanish vowels shredded by wind. “You do not want this trail, Detective. Walk away.” She answered with speed. They pounded across Shaftesbury Avenue. A late night bus sprayed a grey wall of water that soaked her to the skin. Her sharp jaw locked. Cold water found every seam of her coat yet the chase never loosened its grip. They left the theatre lights behind and entered darker streets where the shops sold second-hand suits and closed umbrellas. Herrera’s breath hitched. He was good, but paramedics did not outrun Metropolitan Police who had trained through two decades of foot chases. He swerved through a narrow mews. Quinn’s boots found grease and nearly took her down. She recovered without breaking rhythm, shoulders square, bearing unbroken. Ahead the glow of Camden waited beyond the railway bridge. He meant to lose her in the warren of market stalls by day, but night emptied those streets of cover. She gained three more metres. Rain drummed a war tempo on every roof. Under the bridge the canal black silked below. Herrera took the iron stairs two at a time. Quinn followed, hand on the rail, the metal slick and biting. At the top he vaulted the temporary hoarding around an abandoned Tube entrance. Red-and-white tape snapped under her fingers as she tore through after him. Broken tiling, the iron scent of old rails, damp that smelt of decades. He vanished down a service stair clad in rusty mesh. She went after him without pause. The stairwell swallowed the rain sound. Her own footfalls became the only percussion. Somewhere below a skirt of light flickered once. Then nothing. She counted the turns—three left, two right—until the modern station gave way to Victorian brick and discarded maintenance signs. A thicker dark waited at the bottom, broken only by a single oil lamp fixed to a rough wooden stand. Herrera stood there, chest heaving, medallion bright against soaked fabric. A figure stepped from shadow: tall, cloaked, face hidden behind a half-mask of polished bone. In Herrera’s open palm lay a token the size of a coin, pale and pitted, shaped from something that once lived. The masked keeper took it, turned it over once, and nodded. A section of bricked wall swung inward on silent hinges. Beyond lay corridors that should not have existed, lit by floating green glass orbs and the murmur of unseen stalls. The air that escaped smelled of burned sage, old blood, and ozone. Herrera stepped through without looking back. The keeper’s masked face swung toward Quinn. A gloved hand rose, empty, waiting. “Bone token,” the voice rasped, dry as crypt dust. “Or remain on the threshold.” Quinn halted on the last step, water cascading from her coat hem onto cracked tiling. She met the black eyeholes of the mask. The leather of her watch creaked when she flexed her fist. Ahead the secret market breathed with half-seen life: a woman selling bottles of swirling gold, a stall of teeth that whispered, iron cages holding something that scratched. Everything her eighteen years of service had never written in any report. Everything that had taken DS Morris without leaving a single scuff on the case file. She could still hear the rain far above, a distant constant. She could still feel the radio unit heavy against her ribcage, silent in this pocket of dead signal. One more stride would place her boots on the other side of the wall, among goods banned by every statute she had sworn to uphold. No backup. No protocol. No guarantee she would walk back out with her warrant card or her life. The masked keeper did not move. The wall stood open. Beyond it, Tomás Herrera’s silhouette shrank among the green orbs. Quinn’s brown eyes measured the height of the opening, the width of the corridor, the nearest shadow that might hide a snare. Her jaw stayed hard. Rainwater dripped from her salt-and-pepper crop and struck the concrete between her boots like slow seconds counting down.
created_at"2026-07-08T19:49:41.365Z" 7/8/2026, 7:49:41 PM
model"x-ai/grok-4.5-20260708"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency448
moderation_latency(null)
generation_time52494
tokens_prompt1140
tokens_completion2003
native_tokens_prompt1186
native_tokens_completion2884
native_tokens_completion_images(null)
native_tokens_reasoning1648
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"
usage0.017948
router(null)
provider_responses
0
endpoint_id"0e927811-b1a8-4604-8b86-db5ce6eaa87c"
id"b0fdea8e-e48b-9a03-87e9-b891ad19a2ae"
is_byokfalse
latency130
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-1783540181-FRI2rsYAMNbq8c3N2KaX"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783540181-Vx8HceiYJYIgf4F6Irma"
upstream_id"b0fdea8e-e48b-9a03-87e9-b891ad19a2ae"
total_cost0.017948
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)
dialogueSentences5
tagDensity0.2
leniency0.4
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount985
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)
79.70% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount985
totalAiIsms4
found
0
word"shattered"
count1
1
word"flickered"
count1
2
word"cascading"
count1
3
word"measured"
count1
highlights
0"shattered"
1"flickered"
2"cascading"
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
narrationSentences88
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences88
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences92
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen28
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords983
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions0
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions40
wordCount958
uniqueNames22
maxNameDensity0.94
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Soho1
Harlow1
Quinn9
Herrera9
Raven1
Nest1
Saint1
Christopher1
Frith1
Street2
Greek1
Underground1
Spanish1
Shaftesbury1
Avenue1
Metropolitan1
Police1
Camden1
Tube1
Victorian1
Morris1
Tomás2
persons
0"Harlow"
1"Quinn"
2"Herrera"
3"Raven"
4"Saint"
5"Christopher"
6"Camden"
7"Morris"
8"Tomás"
places
0"Soho"
1"Frith"
2"Street"
3"Greek"
4"Shaftesbury"
5"Avenue"
6"Victorian"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences70
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount983
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences92
matches
0"damp that smelt"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs20
mean49.15
std33.42
cv0.68
sampleLengths
082
11
269
373
476
58
613
79
885
967
1082
1162
1299
136
1413
1514
1688
1772
1820
1944
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences88
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs166
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount0
flaggedSentences1
totalSentences92
ratio0.011
matches
0"She counted the turns—three left, two right—until the modern station gave way to Victorian brick and discarded maintenance signs."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount973
adjectiveStacks1
stackExamples
0"short curly dark hair"
adverbCount25
adverbRatio0.025693730729701953
lyAdverbCount5
lyAdverbRatio0.0051387461459403904
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences92
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences92
mean10.68
std5.7
cv0.533
sampleLengths
012
120
213
319
47
511
61
712
83
911
1016
1113
123
1311
1413
155
165
176
183
199
204
2115
2213
2312
2411
254
2616
2714
284
2915
308
3113
329
334
345
3516
364
3715
3819
393
4019
416
429
439
4410
4520
465
478
488
499
59.42% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.40217391304347827
totalSentences92
uniqueOpeners37
39.22% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences85
matches
0"Somewhere below a skirt of"
ratio0.012
92.94% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount27
totalSentences85
matches
0"His short curly dark hair"
1"Her shout bounced off shuttered"
2"He kept running."
3"She matched his pace, military"
4"She closed twenty metres by"
5"He cut left into an"
6"She landed hard."
7"He slapped a hand against"
8"She slammed a palm against"
9"His answer came ragged over"
10"She answered with speed."
11"They pounded across Shaftesbury Avenue."
12"Her sharp jaw locked."
13"They left the theatre lights"
14"He was good, but paramedics"
15"He swerved through a narrow"
16"She recovered without breaking rhythm,"
17"He meant to lose her"
18"She gained three more metres."
19"He vanished down a service"
ratio0.318
42.35% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount71
totalSentences85
matches
0"The rain drove horizontal needles"
1"Detective Harlow Quinn planted her"
2"Tomás Herrera took the corner"
3"Water sheeted off the green"
4"His short curly dark hair"
5"The Saint Christopher medallion jumped"
6"Her shout bounced off shuttered"
7"He kept running."
8"Quinn’s closely cropped salt-and-pepper hair"
9"She matched his pace, military"
10"The worn leather watch on"
11"Midnight and twenty."
12"She closed twenty metres by"
13"He cut left into an"
14"Puddles shattered under his trainers."
15"Quinn vaulted a toppled bin."
16"The lid spun away and"
17"She landed hard."
18"Pain bit her left ankle"
19"Herrera’s sleeve rode up."
ratio0.835
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences85
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences51
technicalSentenceCount3
matches
0"This was the medic who stitched the clique when proper hospitals asked too many questions."
1"Beyond lay corridors that should not have existed, lit by floating green glass orbs and the murmur of unseen stalls."
2"Ahead the secret market breathed with half-seen life: a woman selling bottles of swirling gold, a stall of teeth that whispered, iron cages holding something th…"
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
90.2542%