Run: 2026-09-01-01M1EMNK7QX8SYN4H2B79JP70S

Run Details

Duration:
2m 55s
Cost:
$0.044114
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 turned Camden's streets into a black river that reflected the sodium lamps in broken shards. Detective Harlow Quinn's boots struck the pavement in even cadence, water exploding outward with every impact. Salt-and-pepper hair lay plastered to her skull. Rain tracked the sharp line of her jaw and darkened the leather strap of the watch on her left wrist until the face vanished under mist. She ran with the economy of eighteen years and a dozen courses that had beaten waste out of her: elbows in, stride length locked, eyes never leaving the man twenty metres ahead. Tomás Herrera's curly hair flung droplets as he snapped a look over his shoulder. Olive skin shone. The Saint Christopher medallion leapt against his throat. The pale scar along his left forearm caught the light when he shoved a overflowing bin into her path. She vaulted it without breaking rhythm. "Metropolitan Police! Stay where you are!" The words left her mouth and died in the downpour. Herrera cut into an alley between a shuttered vinyl shop and a kebab house whose extractor fan still leaked grease into the night. Cardboard stacked against the wall collapsed under his shoulder. Quinn followed. The passage stank of ammonia and rotting onions. Brick scraped her coat. She kept the distance. He burst onto a wider road. A night bus lumbered past, its headlights smearing yellow across the wet tarmac. Herrera weaved between a black cab and a delivery van whose driver leaned on the horn. Quinn timed the gap, palm slamming the cab's bonnet as it locked up. Wipers thrashed. The driver shouted something the rain erased. She was already across. "You have no idea what you're chasing, Quinn." His voice carried the remnant of Seville, flattened by London years. She did not answer. Answers came after cuffs. The towpath along the canal offered no cover. Water below churned the colour of stewed tea, reflecting the lock cottage lights in oily ribbons. Herrera took the steps two at a time. Quinn's sole slipped on the wet stone; she caught the railing, corrected, continued. Military bearing held her upright even as the rain found every seam in her clothing. Lungs burned. She counted the breaths anyway: in through the nose, out through the mouth. He led her under a brick arch where their footsteps multiplied into a small army, then out into a street of locked market stalls. Tarpaulins cracked like sails. A knot of lads with cans scattered when Herrera drove through them. "Watch it, mate!" Quinn passed the same space a heartbeat later. One of them started a comment and thought better of it. A building site appeared on the left, hoarding half-down, mud churned to soup. Herrera scrambled over a low fence of corrugated iron. She followed, boots sinking, then finding purchase on a stack of palettes. Scaffolding rose in skeletal towers. He climbed. She climbed after him, fingers finding wet metal, the whole structure shivering under their combined weight. At the top he dropped onto the far side. She dropped after, rolling once on impact, coming up with the same measured stride. The abandoned Tube entrance waited at the end of the next street, its sign long faded, the gates standing ajar as though someone had grown tired of the padlock. Herrera slipped through. Quinn reached the gap three seconds later. She scanned the empty pavement behind her, the rain-slick road, the absence of backup. No radio call had gone out. This hunt belonged to her. The gate complained on its hinges. Stairs descended into orange emergency lighting that flickered like a failing pulse. Rain's roar faded, replaced by the drip of water through cracked concrete and the smell of old diesel mixed with decades of dust. The steps crumbled at the edges. She took them at the same cadence she had used on the street. The ticket hall below lay under a skin of grime. Posters from another decade peeled in long tongues. Herrera was already at the far side, a service door standing open, a low glow leaking around its frame. "Herrera." He stopped on the threshold and turned. The medallion caught the flicker. Warm brown eyes met hers. "This place isn't for you. Walk away." "You're coming with me. Now." He shook his head once, then stepped through. A small pale object flashed in his palm—bone, carved, no bigger than a thumb. The glow beyond the door pulsed as if it recognised the token. Quinn crossed the hall. Her steps echoed. She reached the doorway. The abandoned platform had been rewritten. Stalls occupied the tracks and the platform edge, lit by lanterns whose flames burned colours no chemistry allowed. Goods shimmered on tabletops: bottles whose contents crawled against the glass, cages that housed watchers with too many joints, powders that shifted when no one touched them. Figures moved between the stalls. Some stood too tall for the space. Some had faces that refused to settle in the light. The air hummed with ozone and old copper and spices that had no names in any market she knew. A hooded figure at the inner entrance held out a hand. Herrera had already shown the token and vanished between the first row of stalls, swallowed by a crowd that did not move like any crowd she had ever policed. Quinn stood in the doorway. Rainwater still ran from the hem of her coat and pooled at her boots. The leather watch on her wrist read 2:17. Her jaw set. The territory beyond the threshold was a blank on every map she carried. Reports she had assembled in the small hours mentioned markets that relocated with the moon, entry paid in bone, goods that should not exist. The same reports that had never explained what happened to Morris three years earlier. Behind her the empty station waited, the stairs, the rain, procedure, daylight, warrants that would find dust and nothing else. Ahead the suspect moved deeper, answers perhaps moving with him. She planted her feet on the cracked tiles and stared into the shifting colours. The decision sat in her chest, solid as the watch on her wrist.
created_at"2026-09-01T14:06:18.37Z" 9/1/2026, 2:06:18 PM
model"x-ai/grok-4.6-20260810"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency579
moderation_latency(null)
generation_time174684
tokens_prompt1104
tokens_completion3185
native_tokens_prompt1186
native_tokens_completion6989
native_tokens_completion_images(null)
native_tokens_reasoning5741
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"
usage0.044114
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788271578-364cPmwWcWZgfT979Y5v"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788271578-RJMmYkuv40TFHjcQynoL"
upstream_id"a527f73c-516c-9c83-9c49-963c9cfbe8f1"
provider_responses
0
endpoint_id"0d0536e3-7eb1-4acb-8249-c8813365c2d8"
id"a527f73c-516c-9c83-9c49-963c9cfbe8f1"
is_byokfalse
latency579
model_permaslug"x-ai/grok-4.6-20260810"
provider_name"xAI"
status200
total_cost0.044114
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
totalTags0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1025
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)
36.59% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1025
totalAiIsms13
found
0
word"churned"
count2
1
word"footsteps"
count1
2
word"structure"
count1
3
word"weight"
count1
4
word"measured"
count1
5
word"scanned"
count1
6
word"flickered"
count1
7
word"pulse"
count1
8
word"flicker"
count1
9
word"pulsed"
count1
10
word"echoed"
count1
11
word"shimmered"
count1
highlights
0"churned"
1"footsteps"
2"structure"
3"weight"
4"measured"
5"scanned"
6"flickered"
7"pulse"
8"flicker"
9"pulsed"
10"echoed"
11"shimmered"
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
narrationSentences90
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences90
filterMatches
0"watch"
hedgeMatches
0"happened to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences96
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen32
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1024
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions28
wordCount994
uniqueNames11
maxNameDensity0.91
worstName"Herrera"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Camden1
Harlow1
Quinn8
Herrera9
Saint1
Christopher1
Seville1
London1
Tube1
Morris1
Rain3
persons
0"Camden"
1"Harlow"
2"Quinn"
3"Herrera"
4"Saint"
5"Christopher"
6"Morris"
7"Rain"
places
0"Seville"
1"London"
globalScore1
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
wordCount1024
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences96
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs27
mean37.93
std29.45
cv0.776
sampleLengths
097
150
26
360
461
58
619
775
840
93
1019
1180
1264
1360
1437
151
1617
177
185
1934
2011
2192
2240
2381
2420
2510
2627
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences90
matches
0"been rewritten"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs167
matches(empty)
83.33% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount1
flaggedSentences2
totalSentences96
ratio0.021
matches
0"Quinn's sole slipped on the wet stone; she caught the railing, corrected, continued."
1"A small pale object flashed in his palm—bone, carved, no bigger than a thumb."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount999
adjectiveStacks0
stackExamples(empty)
adverbCount19
adverbRatio0.01901901901901902
lyAdverbCount2
lyAdverbRatio0.002002002002002002
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences96
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences96
mean10.67
std6.85
cv0.642
sampleLengths
016
116
27
326
432
514
63
78
819
96
106
1110
1223
139
142
158
164
174
186
1913
2016
2113
222
237
244
258
2611
274
284
298
3016
318
3213
3315
342
3513
3624
374
3812
393
408
4111
4213
439
4412
455
462
4716
489
4914
66.32% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.4166666666666667
totalSentences96
uniqueOpeners40
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences86
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount20
totalSentences86
matches
0"She ran with the economy"
1"She vaulted it without breaking"
2"She kept the distance."
3"He burst onto a wider"
4"She was already across."
5"His voice carried the remnant"
6"She did not answer."
7"She counted the breaths anyway:"
8"He led her under a"
9"She followed, boots sinking, then"
10"She climbed after him, fingers"
11"She dropped after, rolling once"
12"She scanned the empty pavement"
13"She took them at the"
14"He stopped on the threshold"
15"He shook his head once,"
16"Her steps echoed."
17"She reached the doorway."
18"Her jaw set."
19"She planted her feet on"
ratio0.233
12.33% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount77
totalSentences86
matches
0"Detective Harlow Quinn's boots struck"
1"Salt-and-pepper hair lay plastered to"
2"She ran with the economy"
3"Tomás Herrera's curly hair flung"
4"Olive skin shone."
5"The Saint Christopher medallion leapt"
6"The pale scar along his"
7"She vaulted it without breaking"
8"The words left her mouth"
9"Herrera cut into an alley"
10"Cardboard stacked against the wall"
11"The passage stank of ammonia"
12"Brick scraped her coat."
13"She kept the distance."
14"He burst onto a wider"
15"A night bus lumbered past,"
16"Herrera weaved between a black"
17"Quinn timed the gap, palm"
18"The driver shouted something the"
19"She was already across."
ratio0.895
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences86
matches(empty)
ratio0
65.22% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences46
technicalSentenceCount5
matches
0"Rain turned Camden's streets into a black river that reflected the sodium lamps in broken shards."
1"The abandoned Tube entrance waited at the end of the next street, its sign long faded, the gates standing ajar as though someone had grown tired of the padlock."
2"Goods shimmered on tabletops: bottles whose contents crawled against the glass, cages that housed watchers with too many joints, powders that shifted when no on…"
3"Reports she had assembled in the small hours mentioned markets that relocated with the moon, entry paid in bone, goods that should not exist."
4"Behind her the empty station waited, the stairs, the rain, procedure, daylight, warrants that would find dust and nothing else."
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
85.4594%