Run: 2026-03-12-01KKHZHE5YGJB1Y17BP5C07A83

Run Details

Duration:
28.3s
Cost:
$0.033259
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 lashed the Soho streets and turned every gutter into a rushing torrent. Detective Harlow Quinn pounded after the fleeing figure, her boots sending up sprays that caught the glow from passing taxis. The man's coat flared like a broken wing each time he cut a corner. She kept her arms tight to her body, elbows locked in the rhythm that had carried her through eighteen years of foot pursuits. He glanced back once. Panic sharpened his features under the streetlights. Quinn narrowed the gap by three strides. Metropolitan Police. Stop right now. The man ignored her and slammed through a knot of drinkers outside a late bar. Glasses shattered. Someone swore. Quinn vaulted the spilled mess without breaking stride, her sharp jaw set so hard the bone ached. You are only making this worse for yourself. Worse? the man shouted over his shoulder. His accent clipped every word. You have no idea what worse looks like, copper. The green neon of the Raven's Nest had vanished behind them blocks ago. Quinn had first spotted him slipping out the bar's rear door after a hushed conversation near the shelf of old maps. Now the chase dragged them north, rain drumming on rooftops and awnings in a steady metallic roar. Her worn leather watch snagged on her sleeve as she pumped her arms. She shook it free and kept running. Camden's skyline rose ahead, its market stalls lashed down for the night, tarps snapping like sails in a storm. The suspect veered into a narrow service alley between shuttered shops. His footsteps rang on metal as he wrenched open a grate that should have been bolted shut. Quinn reached the opening seconds later. Stale air rolled up from below, thick with incense, ozone, and the copper tang of blood. Distant voices drifted upward, bartering in languages she did not recognize. The man was already descending, his shape swallowed by shadow. She dropped to one knee and peered in. A makeshift gate blocked the bottom of the stairs. The suspect pressed something small and pale into the gatekeeper's palm. A bone token, Quinn realized. The guard waved him through without question. Tomás, the man called out as he vanished deeper. Tomás Herrera. The cop is on me. I need cover. A second voice floated back, calm and warm. Get inside the stall. I'll handle the rest. Quinn straightened. Her brown eyes tracked the faint glow leaking from the abandoned Tube platform below. This was no ordinary underpass. The air felt heavier, charged, as though the walls themselves watched. Her partner's unsolved death three years earlier had begun in places exactly like this, with clues that made no sense on any report sheet. The gatekeeper noticed her and folded his arms. No token, no entry. Turn around, Detective. Quinn pulled her badge and let the rain run off the plastic. Official police business. That man is wanted for questioning in multiple assaults. Step aside. The gatekeeper smiled without warmth. Official up here, maybe. Down there you are just another tourist with a death wish. The market moves tonight. Full moon rules. You walk in blind, you might not walk out. Quinn glanced at the stairs again. The voices had multiplied. Someone laughed. Glass clinked. Footsteps scattered as though her presence had already been announced. She could radio for backup. She could cordon the entrance and wait. Both choices meant losing the only lead she had found in months. The clique's activity had stayed just out of reach until tonight. This underground market beneath Camden offered the first real thread. Her fingers brushed the cold railing. Water streamed down the metal and over her knuckles. The gatekeeper shifted his weight. Last warning. Quinn rolled her shoulders once, the same motion she used before every raid. She took the first step down. The second followed before she could reconsider. Her military bearing kept her spine straight even as the darkness closed around her. The platform opened out ahead, stalls lit by mismatched lanterns and strings of green bulbs. Crowds moved between them, trading sealed jars, folded papers, and objects that caught the light in unnatural ways. The suspect stood thirty feet away beside a makeshift medical station. A man with short curly dark brown hair and olive skin worked over a cut on the suspect's forearm, Saint Christopher medallion swinging free from his neck as he tied a bandage. Tomás Herrera, Quinn noted. Former paramedic. The same name that had appeared in three of her off-the-books files. Tomás looked up. His warm brown eyes met hers across the crowded space. He did not look surprised. You should not be here, Detective Quinn. Quinn kept walking forward. The crowd parted slightly, wary. Rain still dripped from her coat and pooled on the old tile floor. Every sense told her to draw her weapon. Every instinct honed by loss told her the answers she needed waited somewhere in these stalls. She stopped ten feet from the pair. Her hand hovered near her hip but did not close on the grip. The decision sat in her chest like a second heartbeat. Turn around now, Tomás said quietly while he finished the knot. This place is not for people who still believe the rules are the same up top. The suspect flexed his freshly bandaged arm and stepped behind the medic. Quinn kept her gaze locked on both men. Rain continued to find its way through the street-level grate and tapped out an irregular rhythm on the platform edge. She took one more step. The market's strange currents moved around her, voices rising and falling, deals being struck in hurried whispers. Quinn felt the weight of unfamiliar territory settle on her shoulders like the rain itself, cold and unrelenting. Her sharp jaw tightened again. She opened her mouth to speak. The words never left her. A shout went up from the far end of the platform. The gatekeeper was pointing. More figures converged. Quinn kept her focus on Tomás and the suspect while the underground market swirled tighter around the three of them. Her watch ticked on, leather strap now soaked through, counting seconds she could never get back. She waited for the next move.
created_at"2026-03-12T21:34:14.211Z" 3/12/2026, 9:34:14 PM
model"x-ai/grok-4.20-beta-20260309"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency20979
moderation_latency(null)
generation_time28102
tokens_prompt1140
tokens_completion1588
native_tokens_prompt1075
native_tokens_completion5492
native_tokens_completion_images0
native_tokens_reasoning4259
native_tokens_cached1024
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
usage0.0332588
router(null)
provider_responses
0
endpoint_id"33f49f24-a0de-4dcf-872d-ca514e83fbae"
id"e5b433ec-1947-c0c1-5ab8-1156e7845eb7"
is_byokfalse
latency429
model_permaslug"x-ai/grok-4.20-beta-20260309"
provider_name"xAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1773351254-RR1bQztGJLNszsD4zk28"
upstream_id"e5b433ec-1947-c0c1-5ab8-1156e7845eb7"
total_cost0.0332588
cache_discount0.0018432
upstream_inference_cost0
provider_name"xAI"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
95.17% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1036
totalAiIsmAdverbs1
found
0
adverb"slightly"
count1
highlights
0"slightly"
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)
66.22% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1036
totalAiIsms7
found
0
word"shattered"
count1
1
word"footsteps"
count2
2
word"charged"
count1
3
word"warmth"
count1
4
word"weight"
count2
highlights
0"shattered"
1"footsteps"
2"charged"
3"warmth"
4"weight"
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
narrationSentences114
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences114
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences114
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen32
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1036
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions1
unquotedAttributions0
matches(empty)
72.78% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions44
wordCount1036
uniqueNames15
maxNameDensity1.54
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Soho1
Harlow1
Quinn16
Police1
Raven1
Nest1
Herrera2
Tube1
Detective3
Camden2
Saint1
Christopher1
Tomás6
Rain3
You4
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Nest"
4"Herrera"
5"Detective"
6"Camden"
7"Saint"
8"Christopher"
9"Tomás"
10"Rain"
11"You"
places
0"Soho"
globalScore0.728
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences74
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1036
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences114
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs34
mean30.47
std20.71
cv0.68
sampleLengths
070
111
27
35
436
58
621
751
867
943
1040
1119
1216
1356
1415
1526
1636
1724
1845
1915
207
2173
2261
2318
247
2546
2630
2727
2840
295
3046
315
3254
336
92.95% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences114
matches
0"been bolted"
1"is wanted"
2"been announced"
3"being struck"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs183
matches
0"was already descending"
1"was pointing"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences114
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1039
adjectiveStacks0
stackExamples(empty)
adverbCount32
adverbRatio0.030798845043310877
lyAdverbCount7
lyAdverbRatio0.006737247353224254
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences114
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences114
mean9.09
std5.8
cv0.639
sampleLengths
013
120
214
323
44
57
67
72
83
915
102
112
1217
138
141
156
165
179
1813
1921
2017
2113
227
2319
2411
2517
266
2716
2811
2910
308
319
3211
335
347
359
362
375
383
398
404
414
422
4314
445
4511
4624
478
484
493
55.85% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.3508771929824561
totalSentences114
uniqueOpeners40
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences103
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount29
totalSentences103
matches
0"She kept her arms tight"
1"He glanced back once."
2"You are only making this"
3"His accent clipped every word."
4"You have no idea what"
5"Her worn leather watch snagged"
6"She shook it free and"
7"His footsteps rang on metal"
8"She dropped to one knee"
9"I need cover."
10"I'll handle the rest."
11"Her brown eyes tracked the"
12"Her partner's unsolved death three"
13"You walk in blind, you"
14"She could radio for backup."
15"She could cordon the entrance"
16"Her fingers brushed the cold"
17"She took the first step"
18"Her military bearing kept her"
19"His warm brown eyes met"
ratio0.282
27.96% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount89
totalSentences103
matches
0"Rain lashed the Soho streets"
1"Detective Harlow Quinn pounded after"
2"The man's coat flared like"
3"She kept her arms tight"
4"He glanced back once."
5"Panic sharpened his features under"
6"Quinn narrowed the gap by"
7"The man ignored her and"
8"Quinn vaulted the spilled mess"
9"You are only making this"
10"the man shouted over his"
11"His accent clipped every word."
12"You have no idea what"
13"The green neon of the"
14"Quinn had first spotted him"
15"Her worn leather watch snagged"
16"She shook it free and"
17"Camden's skyline rose ahead, its"
18"The suspect veered into a"
19"His footsteps rang on metal"
ratio0.864
48.54% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences103
matches
0"Now the chase dragged them"
ratio0.01
82.07% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences47
technicalSentenceCount4
matches
0"Detective Harlow Quinn pounded after the fleeing figure, her boots sending up sprays that caught the glow from passing taxis."
1"She kept her arms tight to her body, elbows locked in the rhythm that had carried her through eighteen years of foot pursuits."
2"The same name that had appeared in three of her off-the-books files."
3"The market's strange currents moved around her, voices rising and falling, deals being struck in hurried whispers."
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
88.0514%