Run: 2026-07-08-01KX1KT5MNNA35XS81DFEA3BEB

Run Details

Duration:
1m 36s
Cost:
$0.032738
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 drummed Camden's night streets into a single constant roar. Water sheeted across the asphalt and shattered every sodium glow into jagged fragments that skittered away under the tyres of late cabs. Detective Harlow Quinn rounded the corner of Camden High Street at a hard lope, salt-and-pepper hair flattened tight to her skull, sharp jaw locked. Twenty metres ahead the suspect's black hoodie vanished and reappeared between clusters of late-night drinkers who spilled out of a pub doorway. The worn leather strap of her watch bit into her left wrist each time her arm swung. "Police! Stop!" The shout cracked against brick and glass. The man flinched, then cut sharp left through a narrow pedestrian cut-through. Quinn followed. Her boots found purchase on slick cobbles with the same even cadence that had carried her through eighteen years of metropolitan nights. A young couple with plastic pint cups flattened themselves against the wall as she passed. Grease from a late food stall coated the air and mixed with the iron tang of wet stone. The alley spat them both onto a quieter stretch of Inverness Street. Posters for forgotten gigs peeled from steel shutters in long wet scrolls. The suspect risked a glance over his shoulder. Olive skin shone under the rain; dark curls clung to his forehead. He put his head down and lengthened his stride. Quinn closed another three paces. She keyed the radio clipped at her collar without breaking rhythm. "Control, Quinn. Foot pursuit, male, late twenties, black hoodie, heading south from Inverness toward the canal. Request units to box the water." Static answered first, then a clipped acknowledgement. The man heard the transmission. He ducked hard right between two parked delivery vans and kicked a stack of collapsed cardboard into her path. Quinn vaulted the sliding mess. One edge snagged her coat but she ripped free and kept the gap from opening. Military bearing held her spine straight even as water found the gap at her collar and ran cold down her back. Regent's Canal appeared as a black ribbon bordered by iron railings. The suspect vaulted the low barrier without slowing and dropped the four feet to the towpath. Quinn did the same a heartbeat later. Boots slapped wet concrete that smelled of old leaf mulch and diesel. Marker lights from a slow barge farther east strobed the surface of the water. He ran west along the canal. The towpath offered nowhere to disappear. Quinn gained another two metres and called again, voice stripped of anything soft. "It's finished. Hands where I can see them." He laughed once, short and thin of breath. "You haven't the first clue, Quinn. This is bigger than your paperwork." She fixed that recognition of her name into memory without comment and pushed harder. The strap of the leather watch flashed as her left arm pumped. A stone arch bridge loomed ahead. Beneath it, locked bicycle stands formed a skeletal cage. The suspect slammed into the rack and toppled three bicycles across the path. Metal rang against metal. Quinn cleared the first frame by jumping, caught the second handlebar on her shin, staggered, then drove forward again. Pain flared sharp and clean; she filed it away. Beyond the bridge the towpath climbed stone stairs back to street level. The man took them two at a time, burst into a side road lined with locked warehouses, then cut between snagged palettes stacked three high. Quinn followed into the narrow canyon of wood and plastic. Rain funneled between the stacks and struck her shoulders like flung gravel. She lost half a second ducking a jutting plank. When she emerged the suspect had reached the far pavement and sprinted across Camden Road without checking traffic. A black cab's brakes shrieked. Headlights washed white across the wet tarmac. The vehicle stopped inches from the running figure. Horns carried from every direction. Quinn stepped into the same gap the cab had left and matched the man's pace on the opposite kerb. Shopfronts of closed clothing markets and tattoo parlours blurred past. Neon hoc signs bled colour down the glass. The man forced a group of three pedestrians apart; one man in a leather jacket yelled after him. Quinn shortened her stride only long enough to pass the startled group without collision and regained the lost ground. They left the main road on a diagonal, cutting through the deserted stalls of the weekly market. Tarpaulins slapped wet ropes against metal frames. Empty crates stood in uneven ranks. The suspect slammed one crate into another, starting a slow collapse of stacked wood that spilled into the aisle. Quinny hurdled the rolling debris and heard the radio crackle again at her collar. "Units are five minutes from the canal. Advise still in pursuit." She answered between hard breaths. "Still green. Heading into the old station approach. Maintain the perimeter seal." The approach to the abandoned Tube station sat half-hidden behind a row of council blocks. A chain-link gate hung askew on one bent hinge. The suspect slipped through the gap without making it rattle. Quinn followed half a second after. A short stretch of cracked tarmac lay littered with crushed cans and old flyers for gigs long past. Ahead the brick arch of the sealed station entrance rose out of rain and shadow. Yellow hazard tape, long stripped free by weather, flapped like hanging skin. The man reached the arch, produced something pale from his pocket, and held it up to a figure mottled by shadow who stood just inside the barrier of rusted shutters. The figure stepped aside. The shutter rolled upward another foot with a wet metallic moan. The suspect slipped underneath. When Quinn reached the same spot the second figure rumbled from the darkness. "Bone token or walk away, copper. This ground doesn't answer to your warrant." She stopped three metres short. Rain continued to sheet down her back and hung in heavy drops from her closely cropped hair. The leather of her watch flexed as her left hand tightened into a fist at her side. Through the raised gap the air changed character. Gone was the clean metallic scent of night rain. In its place rose a mixture of paraffin lamps, dried herbs, hot metal, and a copper note that sat low in the throat. Dim light sketched the length of a former platform. Stalls of reclaimed timber and canvas stretched away into dusk. Coloured glass vials caught the low lantern glow and offered it back in sickly blues and greens. Figures drifted between the stalls, some wrapped in coats of deep colour, others bare-armed despite the cold. A low murmur of many voices moved like water under a jam. The radio at her collar clicked open again. "Quinn, report position." She kept her eyes on the raised shutter and the figure who waited just beyond it. Her brow knit once, a single tight crease. The sharp line of her jaw stayed set. Military trained muscles held her balanced on the balls of her feet, ready for either direction. Water ran from the archway above and struck the damp concrete in a steady line an arm's length from her boots. Beyond that line the underground market offered cover for the man she had chased three miles through rain and steel and tore. She drew a single slow breath that filled her lungs with the twin scents of the surface night and the market air, rain and unknown alchemy both at once. "Position is the old Camden station access," she told the radio. "Suspect has entered. Contain the surface exits. Hold status." The figure inside the shutter rolled a knuckle of pale bone between thick fingers and said nothing further. Quinn's right hand settled on the grip of the sidearm holstered under her coat. The leather strap of the watch creased against her wrist bone for a final time as she calculated distance, odd light, numbers of bodies visible beyond the threshold, and the empty stretch of rain-soaked tarmac behind her.
created_at"2026-07-08T19:38:24.796Z" 7/8/2026, 7:38:24 PM
model"x-ai/grok-4.5-20260708"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency481
moderation_latency(null)
generation_time96421
tokens_prompt1140
tokens_completion3075
native_tokens_prompt1186
native_tokens_completion5093
native_tokens_completion_images(null)
native_tokens_reasoning3478
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"
usage0.032738
router(null)
provider_responses
0
endpoint_id"78a73286-52c4-4d1d-9d13-c1870c25b143"
id"987d5151-d03d-911a-836a-98599fd767c8"
is_byokfalse
latency137
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-1783539504-EWZcYe0lKRFSybfx0qS9"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783539504-dbbbVhnSsvUIaIce0SF4"
upstream_id"987d5151-d03d-911a-836a-98599fd767c8"
total_cost0.032738
cache_discount0.000192
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)
dialogueSentences10
tagDensity0.1
leniency0.2
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1335
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)
88.76% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1335
totalAiIsms3
found
0
word"shattered"
count1
1
word"loomed"
count1
2
word"calculated"
count1
highlights
0"shattered"
1"loomed"
2"calculated"
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
narrationSentences97
matches(empty)
98.67% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount0
narrationSentences97
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences106
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen38
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1335
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
97.41% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions27
wordCount1236
uniqueNames10
maxNameDensity1.05
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Camden3
Harlow1
Quinn13
High1
Street2
Inverness1
Canal1
Road1
Tube1
Rain3
persons
0"Harlow"
1"Quinn"
2"Canal"
3"Rain"
places
0"Camden"
1"High"
2"Street"
3"Inverness"
4"Road"
globalScore0.974
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences85
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1335
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences106
matches
0"fixed that recognition"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs23
mean58.04
std39.6
cv0.682
sampleLengths
095
12
276
369
422
572
685
78
820
986
1086
1199
1263
1311
1417
1585
1662
1713
18144
1911
20120
2120
2269
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences97
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs203
matches(empty)
61.99% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount3
flaggedSentences3
totalSentences106
ratio0.028
matches
0"Olive skin shone under the rain; dark curls clung to his forehead."
1"Pain flared sharp and clean; she filed it away."
2"The man forced a group of three pedestrians apart; one man in a leather jacket yelled after him."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1244
adjectiveStacks0
stackExamples(empty)
adverbCount29
adverbRatio0.023311897106109324
lyAdverbCount4
lyAdverbRatio0.003215434083601286
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences106
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences106
mean12.59
std6.4
cv0.508
sampleLengths
010
122
224
322
417
52
67
712
82
922
1015
1118
1212
1312
148
1512
169
175
1811
1922
207
215
2219
235
2415
2521
2611
2716
287
2912
3014
316
326
3313
348
358
3612
3714
3812
396
409
4113
424
4319
449
4512
4625
4710
4812
499
74.84% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.4716981132075472
totalSentences106
uniqueOpeners50
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences96
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount15
totalSentences96
matches
0"Her boots found purchase on"
1"He put his head down"
2"She keyed the radio clipped"
3"He ducked hard right between"
4"He ran west along the"
5"He laughed once, short and"
6"She fixed that recognition of"
7"She lost half a second"
8"They left the main road"
9"She answered between hard breaths."
10"She stopped three metres short."
11"She kept her eyes on"
12"Her brow knit once, a"
13"She drew a single slow"
14"she told the radio"
ratio0.156
43.33% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount80
totalSentences96
matches
0"Rain drummed Camden's night streets"
1"Water sheeted across the asphalt"
2"Detective Harlow Quinn rounded the"
3"The worn leather strap of"
4"The shout cracked against brick"
5"The man flinched, then cut"
6"Her boots found purchase on"
7"A young couple with plastic"
8"Grease from a late food"
9"The alley spat them both"
10"Posters for forgotten gigs peeled"
11"The suspect risked a glance"
12"Olive skin shone under the"
13"He put his head down"
14"Quinn closed another three paces."
15"She keyed the radio clipped"
16"Static answered first, then a"
17"The man heard the transmission."
18"He ducked hard right between"
19"Quinn vaulted the sliding mess."
ratio0.833
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences96
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences61
technicalSentenceCount3
matches
0"Twenty metres ahead the suspect's black hoodie vanished and reappeared between clusters of late-night drinkers who spilled out of a pub doorway."
1"Her boots found purchase on slick cobbles with the same even cadence that had carried her through eighteen years of metropolitan nights."
2"In its place rose a mixture of paraffin lamps, dried herbs, hot metal, and a copper note that sat low in the throat."
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
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences10
tagDensity0.1
leniency0.2
rawRatio0
effectiveRatio0
88.8340%