Run: 2026-03-12-01KKHZQG7MJG6F03QKH55FHJWP

Run Details

Duration:
49.7s
Cost:
$0.057259
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
Harlow Quinn burst from the Raven's Nest into the night downpour. The green neon sign buzzed overhead and painted the pavement in shifting emerald tones. Old maps and black-and-white photographs inside the bar had watched her corner the suspect against the counter only moments earlier. When he bolted she followed without pause her boots hitting the slick surface with steady splashes. Her frame cut through the rain with military precision. Water streamed down her closely cropped salt-and-pepper hair and traced the lines of her sharp jaw. The worn leather watch on her left wrist shifted with each pump of her arms. The suspect stayed twenty yards ahead his coat flapping as he dodged a cluster of umbrellas outside a closing pub. Stop right there. The man twisted his head without breaking stride. Keep dreaming detective. This ends with you in the gutter like your partner. Quinn lengthened her stride and closed the gap by three yards. Puddles exploded underfoot. Neon reflections from nearby signs fractured across the wet ground and turned the street into a mosaic of distorted light. She leaped over a fallen crate he had shoved into her path the wood cracking beneath her boots as she landed. They raced along a narrow alley where rain funneled from rooftops in miniature waterfalls. The walls pressed close and carried the echo of their footsteps. He grabbed a metal lid from a bin and flung it backward. The disc spun through the air and clanged against the brick inches from her shoulder. Nice throw but you miss a lot. The suspect snarled over his shoulder and poured on more speed. The alley spilled them onto a wider road where taxis hissed past their tires sending up curtains of spray. He darted between two cars forcing the drivers to brake hard. Quinn waited one heartbeat then followed the gap the wind from a passing bus tugging at her soaked coat. Her brown eyes never left his back. The chase carried them out of Soho's core and toward the edges where the buildings grew shabbier and the streetlights stood farther apart. Rain drummed on metal shutters of closed shops and the air smelled of wet concrete and distant exhaust. The suspect's breaths grew audible now ragged bursts that matched the rhythm of his footfalls. You think this is just about one case Quinn? The clique owns half the city. Then tell me what happened to Morris. He laughed once a short bark that dissolved into the rain. His path angled north the distance to Camden shrinking with every block. Quinn felt the burn in her thighs but kept her posture straight and her movements clean. A low fence appeared ahead and the man vaulted it his landing unsteady on the grass beyond. She cleared the barrier in one fluid motion. The park soil turned to mud beneath their feet and sucked at their shoes. Trees overhead released their own stored showers with each gust of wind. The suspect slipped once his hand bracing against a trunk before he recovered and burst from the far gate. Quinn gained ground again her fingers brushing the tail of his coat. He wrenched free and spilled onto the next street. Camden's outlines rose before them the abandoned Tube station crouching like a forgotten mouth at the end of the road. He reached the boarded entrance first and wrenched a panel aside. Quinn arrived seconds later her torch beam cutting into the darkness as she descended the concrete stairs. Dampness thickened the air and old ticket stubs crunched under her soles. The suspect stood at a concealed wall panel a small bone token gripped in his fingers. He pressed the token to the sensor. A section of the wall slid open with a low rumble. Light and noise spilled out from the space beyond. Stalls lined the platform of the old station vendors calling out in low voices over tables laden with glowing vials and artifacts that hummed with unseen energy. Banners hung from rusted girders and the air carried scents of strange incense and heated metal. The suspect stepped through the gap and merged with the crowd. Quinn reached the threshold as the door began its slow glide shut. She wedged her shoulder against the edge and peered inside. The market stretched along the disused tracks a labyrinth of transactions conducted away from any official eye. A figure in the far corner caught her attention the olive-skinned man with short curly dark brown hair leaning over an injured patron. Tomás Herrera worked with focused hands his scar on the left forearm flexing as he applied a salve that cast faint light. The Saint Christopher medallion swung from his neck with each motion. Quinn pulled her radio from her pocket then slipped it back. Backup would arrive too late and explanations would tangle in questions she could not answer. This place operated on rules outside her eighteen years of decorated service. The dangers felt immediate in the press of bodies and the gleam of items that should not exist. She glanced back up the stairs where rain still fell on the street level world she knew. The suspect had vanished deeper into the stalls his lead growing with each second. Herrera might hold connections to the clique or at least to the patients who carried their secrets. Her fingers tightened on the door frame. The choice sat heavy in her chest. Step across the line and enter the market's unfamiliar currents or remain on solid ground and watch every lead dissolve into the underground night. Quinn released the frame took one measured breath and crossed into the Veil Market the door sealing behind her with a final click.
created_at"2026-03-12T21:37:32.921Z" 3/12/2026, 9:37:32 PM
model"x-ai/grok-4.20-beta-20260309"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency43728
moderation_latency(null)
generation_time49554
tokens_prompt1140
tokens_completion1419
native_tokens_prompt1075
native_tokens_completion9492
native_tokens_completion_images0
native_tokens_reasoning8428
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"
usage0.0572588
router(null)
provider_responses
0
endpoint_id"33f49f24-a0de-4dcf-872d-ca514e83fbae"
id"5342c640-bb3d-2a29-5d7b-a64b924d4f31"
is_byokfalse
latency352
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-1773351452-QiFhMzdYlOOztaptAVIV"
upstream_id"5342c640-bb3d-2a29-5d7b-a64b924d4f31"
total_cost0.0572588
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
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount951
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)
63.20% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount951
totalAiIsms7
found
0
word"traced"
count1
1
word"fractured"
count1
2
word"mosaic"
count1
3
word"raced"
count1
4
word"echo"
count1
5
word"footsteps"
count1
6
word"measured"
count1
highlights
0"traced"
1"fractured"
2"mosaic"
3"raced"
4"echo"
5"footsteps"
6"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
narrationSentences70
matches(empty)
81.63% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences70
filterMatches
0"watch"
1"think"
hedgeMatches
0"happened to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences70
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen27
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords951
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions0
unquotedAttributions0
matches(empty)
97.42% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions23
wordCount951
uniqueNames12
maxNameDensity1.05
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Quinn10
Raven1
Nest1
Soho1
Morris1
Camden2
Tube1
Herrera2
Saint1
Christopher1
Veil1
Market1
persons
0"Quinn"
1"Morris"
2"Camden"
3"Herrera"
4"Saint"
5"Christopher"
6"Market"
places
0"Raven"
1"Soho"
2"Veil"
globalScore0.974
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences67
glossingSentenceCount1
matches
0"appeared ahead and the man vaulted it his landing unsteady on the grass beyond"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount951
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences70
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs22
mean43.23
std25.57
cv0.592
sampleLengths
061
160
23
38
413
555
652
77
860
963
1015
117
1256
1353
1441
1556
1670
17106
1856
1948
2038
2123
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences70
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs152
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences70
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount956
adjectiveStacks0
stackExamples(empty)
adverbCount24
adverbRatio0.02510460251046025
lyAdverbCount3
lyAdverbRatio0.0031380753138075313
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences70
echoCount0
echoWords(empty)
96.79% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences70
mean13.59
std5.33
cv0.392
sampleLengths
011
114
220
316
49
516
615
720
83
98
103
1110
1211
133
1420
1521
1614
1711
1812
1915
207
2111
2219
2311
2419
257
2623
2718
2815
299
306
317
3211
3312
3416
3517
368
3714
3812
3919
4012
419
4220
4311
4417
4512
4616
477
4811
499
70.95% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.44285714285714284
totalSentences70
uniqueOpeners31
47.62% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences70
matches
0"Then tell me what happened"
ratio0.014
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount16
totalSentences70
matches
0"Her frame cut through the"
1"She leaped over a fallen"
2"They raced along a narrow"
3"He grabbed a metal lid"
4"He darted between two cars"
5"Her brown eyes never left"
6"You think this is just"
7"He laughed once a short"
8"His path angled north the"
9"She cleared the barrier in"
10"He wrenched free and spilled"
11"He reached the boarded entrance"
12"He pressed the token to"
13"She wedged her shoulder against"
14"She glanced back up the"
15"Her fingers tightened on the"
ratio0.229
17.14% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount62
totalSentences70
matches
0"Harlow Quinn burst from the"
1"The green neon sign buzzed"
2"Her frame cut through the"
3"Water streamed down her closely"
4"The worn leather watch on"
5"The suspect stayed twenty yards"
6"The man twisted his head"
7"This ends with you in"
8"Quinn lengthened her stride and"
9"Puddles exploded underfoot."
10"Neon reflections from nearby signs"
11"She leaped over a fallen"
12"They raced along a narrow"
13"The walls pressed close and"
14"He grabbed a metal lid"
15"The disc spun through the"
16"The suspect snarled over his"
17"The alley spilled them onto"
18"He darted between two cars"
19"Quinn waited one heartbeat then"
ratio0.886
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences70
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences54
technicalSentenceCount2
matches
0"Stalls lined the platform of the old station vendors calling out in low voices over tables laden with glowing vials and artifacts that hummed with unseen energy…"
1"The dangers felt immediate in the press of bodies and the gleam of items that should not exist."
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
89.1584%