Run: 2026-03-25-01KMJ8QQ46VEEYYVFX5YVXQ4YC

Run Details

Duration:
28.4s
Cost:
$0.000682
Provider:
DeepInfra

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
Detective Harlow Quinn’s boot splashed through a puddle, the sound swallowed by the growl of thunder. The suspect—a man in a drenched leather jacket—darted around a corner near Carnaby Street, his silhouette flickering under the neon glare of a discounted shuttered shop. She checked her worn leather watch, its second hand trembling in her grip. 11:27 p.m. The rain sheeted down, turning cobblestones to glass, but she didn’t slow. Three years ago, DS Morris had slipped through a similar storm, his radio crackling with static before a bullet silenced it. Now, Quinn’s jaw set tight, the scar tissue on her left palm itching beneath her gloves—a souvenir from the case that had buried her partner. The man ahead hadetSocketAddress that scar. A jagged crescent along his forearm, glowing faintly under the sodium lights. Spanish. Herrera’s kind. She pounded into the alley, boots skidding as the suspect vaulted a fire escape. A green neon raven blinked above a doorway—the sign had to be a coincidence. Quinn rammed through the bar’s heavy door, her breath fogging in the stale smoke of whiskey and burnt coffee. The back room hid behind a map-covered bookshelf. She knew it was there, but the suspect vanished before she could breach it. He reappeared outside, sprinting eastward, weaving through the shadowed sprawl of Soho. She cursed, lungs burning, and gave chase as the city blurred into a watercolor of grays. At Oxford Circus, he surged toward a construction site—a half-collapsed Tube entrance buried under tarps. Her watch ticked 11:34. The Veil Market moved each full moon, but this entrance should be sealed. “Stop, Metropolitan Police!” she barked, her voice lost in the downpour. The man turned, a key dangling from his fist. It gleamed with a sickly luster, bone pitted black and white like a battlefield. A token. He shoved it into the lock, and the concrete groaned open. Quinn hit the stairs two at a time, her flashlight slicing through the cellar’s damp haze. The steps dropped into a cavernous void lit by flickering gas lamps. Stalls crowded the arches of the abandoned station, their wares shifting—skulls in jars whispered to each other, fabric pulsed like living veins. The air reeked of rust and rot. She paused, her hand hovering over her holstered sidearm. Somewhere in this trench of black markets, the suspect had disappeared. Quinn’s pulse thrummed in her throat. Every instinct screamed to turn back, but the scent of copper—real blood or something older—drew her forward. A voice slithered through the crowd. “You’re not on the list, Inspector.” The speaker wore a houndstooth coat, his face a blooming bruise of shifting tattoos. He waved a switchblade between them. Quinn’s fingers twitched to her gun, but she knew the uselessness. This wasn’t the time to die in a ditch for unexplained crimes. She stepped left, boots squelching in the collected rainwater from above. “I’m here for Herrera’s medallion,” she said, flat, factual. The man blinked, his laugh a dry rattle. “Saint Christopher doesn’t care for cops.” Somewhere, a chandelier of dried lungs jingled. Quinn’s boot tapped a loose stone, a signal from her training. She ducked as the houndstooth man lunged, her elbow cracking against his jaw. The knife skittered away, and she grabbed a copper wire from a rusted cart behind him, wrapping it tight around his wrist. “Where’s the exit?” she demanded. He spat blood, a gurgle in his throat. She yanked the wire taut until his chin wobbled. A tremor shook the platform. Farther ahead, a display of live caterpillars—each with tiny fangs—hissed as shadows moved. Quinn released the man and sprinted, her watch now useless in the damp. The suspect’s jacket glimpsed near a doorway, symbols carved into the iron like a prayer written in rust. She burst inside, the room tilting as if the bones of the Tube were shifting beneath her. In the center stood a basin of liquid mercury, a figure crouched beside it with Herrera’s scar. Quinn’s finger froze on her trigger. The man held up a hand, his other palm flat on the basin. “You’re chasing ghosts, Quinn,” he said, his English laced with Seville’s lilt. Rain echoed in his voice. “Morris was never shot.” The bowl’s surface rippled. A face rose from the mercury—not hers, not his—older, female. Quinn’s breath caught. The reflected woman pointed at her, blood blooming across her chest. The vision collapsed, and the suspect bolted again. Quinn followed, the corridors narrowing until the Veil Market’s chaos dissolved into a tunnel. Her boots lost grip on the slime-slicked walls as the exit brightened. The ground dropped away, and she tumbled out into the night—rain and cold slap back onto her skin. Above her, the man leaned against a phone booth, Saint Christopher’s medallion gleaming in his fist. “You reborn, Quinn, or just too stubborn to stop bleeding?” She climbed to her feet, her hand shaking as she holstered the gun. Her watch read 11:51. Judgment was no longer hers to make.
created_at"2026-03-25T10:30:38.987Z" 3/25/2026, 10:30:38 AM
model"qwen/qwen3-32b-04-28"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency151
moderation_latency(null)
generation_time28311
tokens_prompt1164
tokens_completion2447
native_tokens_prompt1008
native_tokens_completion2147
native_tokens_completion_images(null)
native_tokens_reasoning1127
native_tokens_cached0
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"stop"
usage0.0006818
router(null)
provider_responses
0
endpoint_id"6b8c829d-3094-45e7-8139-0a67e09060c3"
id"cmpl-29bafa0090bb451c96c1669cedcb562c"
is_byokfalse
latency54
model_permaslug"qwen/qwen3-32b-04-28"
provider_name"DeepInfra"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1774434638-fGb9yKh20h2RlmHfxO9v"
upstream_id"cmpl-29bafa0090bb451c96c1669cedcb562c"
total_cost0.0006818
cache_discount(null)
upstream_inference_cost0
provider_name"DeepInfra"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags5
adverbTagCount0
adverbTags(empty)
dialogueSentences8
tagDensity0.625
leniency1
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount842
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)
70.31% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount842
totalAiIsms5
found
0
word"pulsed"
count1
1
word"pulse"
count1
2
word"lilt"
count1
3
word"echoed"
count1
4
word"gleaming"
count1
highlights
0"pulsed"
1"pulse"
2"lilt"
3"echoed"
4"gleaming"
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
narrationSentences71
matches(empty)
62.37% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount4
hedgeCount0
narrationSentences71
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences74
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen28
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords829
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
80.20% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions31
wordCount788
uniqueNames17
maxNameDensity1.4
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn11
Carnaby1
Street1
Morris1
Soho1
Oxford1
Circus1
Tube2
Veil2
Market2
Herrera2
English1
Seville1
Rain1
Saint1
Christopher1
persons
0"Harlow"
1"Quinn"
2"Morris"
3"Market"
4"Herrera"
5"English"
6"Rain"
7"Saint"
8"Christopher"
places
0"Carnaby"
1"Street"
2"Soho"
3"Oxford"
4"Seville"
globalScore0.802
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences59
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount829
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences74
matches(empty)
68.32% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs18
mean46.06
std17.92
cv0.389
sampleLengths
069
167
269
360
447
557
643
732
851
96
1053
1122
1266
1357
1436
1544
1626
1724
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences71
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs137
matches
0"were shifting"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount13
semicolonCount0
flaggedSentences9
totalSentences74
ratio0.122
matches
0"The suspect—a man in a drenched leather jacket—darted around a corner near Carnaby Street, his silhouette flickering under the neon glare of a discounted shuttered shop."
1"Now, Quinn’s jaw set tight, the scar tissue on her left palm itching beneath her gloves—a souvenir from the case that had buried her partner."
2"A green neon raven blinked above a doorway—the sign had to be a coincidence."
3"At Oxford Circus, he surged toward a construction site—a half-collapsed Tube entrance buried under tarps."
4"Stalls crowded the arches of the abandoned station, their wares shifting—skulls in jars whispered to each other, fabric pulsed like living veins."
5"Every instinct screamed to turn back, but the scent of copper—real blood or something older—drew her forward."
6"Farther ahead, a display of live caterpillars—each with tiny fangs—hissed as shadows moved."
7"A face rose from the mercury—not hers, not his—older, female."
8"The ground dropped away, and she tumbled out into the night—rain and cold slap back onto her skin."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount804
adjectiveStacks0
stackExamples(empty)
adverbCount10
adverbRatio0.012437810945273632
lyAdverbCount2
lyAdverbRatio0.0024875621890547263
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences74
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences74
mean11.2
std5.54
cv0.494
sampleLengths
016
126
213
32
412
521
625
76
812
91
102
1114
1214
1319
148
1514
1612
1716
1815
194
2013
2111
229
2314
242
2511
2616
2712
2822
297
309
3111
326
3317
346
3520
366
3711
3812
3911
409
418
426
437
4411
4513
4622
475
488
499
63.96% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats1
diversityRatio0.3918918918918919
totalSentences74
uniqueOpeners29
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences66
matches
0"Somewhere in this trench of"
1"Somewhere, a chandelier of dried"
ratio0.03
92.73% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount21
totalSentences66
matches
0"She checked her worn leather"
1"She pounded into the alley,"
2"She knew it was there,"
3"He reappeared outside, sprinting eastward,"
4"She cursed, lungs burning, and"
5"Her watch ticked 11:34."
6"she barked, her voice lost"
7"It gleamed with a sickly"
8"He shoved it into the"
9"She paused, her hand hovering"
10"He waved a switchblade between"
11"She stepped left, boots squelching"
12"she said, flat, factual"
13"She ducked as the houndstooth"
14"He spat blood, a gurgle"
15"She yanked the wire taut"
16"She burst inside, the room"
17"he said, his English laced"
18"Her boots lost grip on"
19"She climbed to her feet,"
ratio0.318
20.61% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount58
totalSentences66
matches
0"Detective Harlow Quinn’s boot splashed"
1"The suspect—a man in a"
2"She checked her worn leather"
3"The rain sheeted down, turning"
4"The man ahead hadetSocketAddress that"
5"A jagged crescent along his"
6"She pounded into the alley,"
7"A green neon raven blinked"
8"Quinn rammed through the bar’s"
9"The back room hid behind"
10"She knew it was there,"
11"He reappeared outside, sprinting eastward,"
12"She cursed, lungs burning, and"
13"Her watch ticked 11:34."
14"The Veil Market moved each"
15"she barked, her voice lost"
16"The man turned, a key"
17"It gleamed with a sickly"
18"He shoved it into the"
19"Quinn hit the stairs two"
ratio0.879
75.76% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences66
matches
0"Now, Quinn’s jaw set tight,"
ratio0.015
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences41
technicalSentenceCount2
matches
0"Now, Quinn’s jaw set tight, the scar tissue on her left palm itching beneath her gloves—a souvenir from the case that had buried her partner."
1"She burst inside, the room tilting as if the bones of the Tube were shifting beneath her."
25.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags5
uselessAdditionCount1
matches
0"The speaker wore, his face a blooming bruise of shifting tattoos"
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount2
fancyTags
0"she barked (bark)"
1"she demanded (demand)"
dialogueSentences8
tagDensity0.5
leniency1
rawRatio0.5
effectiveRatio0.5
81.9753%