Run: 2026-02-19-01KHTZ3N0VY3FR5BWBRWK6P3CS

Run Details

Duration:
1m 30s
Cost:
$0.001175
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
The rain hammered down on the slick pavement, turning the neon reflections into smeared watercolor streaks across the blacktop. Harlow Quinn’s boots splashed through puddles as she sprinted after the figure darting ahead—hood up, shoulders hunched, moving with the desperate speed of someone who knew they were being hunted. “Met Police! Stop!” The command ripped from her throat, swallowed by the drumming rain. The suspect vaulted over a low iron railing, disappearing down a narrow alley between two crumbling brick buildings. Quinn followed, her sharp jaw set, breath coming in controlled bursts. Military training kept her pace steady even as her pulse pounded in her ears. The alley stank of wet garbage and something metallic beneath it. Her quarry skidded around a corner, kicking over a stack of crates in their wake. Wood splintered under Quinn’s boots as she hurdled the mess without breaking stride. Ahead, the suspect ducked into a recessed doorway—just a shadow against darker shadows. Quinn slowed, hand hovering near her hip where her sidearm rested. The door creaked open, revealing a sliver of flickering lantern light before snapping shut again. She approached, cautious. The green neon sign above the entrance buzzed faintly—The Raven’s Nest. Not her jurisdiction, not her usual haunt. But she’d heard whispers about this place. The door didn’t resist when she pushed it open. Warmth and the murmur of low voices washed over her. The bar was half-empty, patrons hunched over drinks beneath the glow of dim bulbs. Maps and photographs covered the walls, their edges curling with age. No sign of her suspect. A bartender with a tattooed neck glanced up from polishing a glass. His gaze flicked to her damp coat, the badge clipped to her belt, then away. Quinn strode to the counter. “Man in a dark hood. Came in just now. Where’d he go?” The bartender shrugged. “Didn’t see anyone.” Her fingers tapped once against the worn leather of her watch strap. “Try again.” Silence stretched between them. Then, from the corner of the room—a scrape of chair legs. A man stood, adjusting the Saint Christopher medallion around his neck. Olive skin, a scar along his forearm. “Detective,” Tomás Herrera said, voice low. “You’re out of your depth.” She turned toward him, shoulders squared. “You know where he went.” Tomás exhaled through his nose, glanced toward a bookshelf along the back wall. A beat passed before he jerked his chin toward it. “You really want to follow him down there?” Quinn didn’t answer. She crossed the room, running her fingers along the spines of the books until she found the trigger—a slight give beneath her touch. The shelf swung inward with a whisper of well-oiled hinges. Stairs descended into darkness. The scent of damp earth and something sharper—ozone, maybe—rose to meet her. Tomás appeared at her shoulder. “Veil Market’s no place for your kind.” “And what kind is that?” “The kind that doesn’t know the rules.” She met his warm brown eyes. “Then enlighten me.” He hesitated, then reached into his pocket and pressed a small bone token into her palm. The surface was carved with intricate, unfamiliar symbols. “Don’t flash that badge down there. Don’t ask questions you don’t want the answers to. And if you value that pretty life of yours, don’t touch anything.” Quinn curled her fingers around the token. “You coming with?” Tomás smirked, but it didn’t reach his eyes. “Someone’s gotta patch you up when this goes sideways.” The stairs groaned underfoot as they descended. The air grew thicker, humming with something she couldn’t name. At the bottom, an arched tunnel stretched into the dark, lit sporadically by flickering gas lamps. Voices echoed ahead—laughter, bartering, the occasional sharp disagreement. The scent of spices and something burnt lingered in the air. They rounded a bend, and the tunnel opened into a cavernous space—an abandoned Tube station repurposed into a sprawling market. Stalls lined the tracks, draped in rich fabrics and lit by lanterns that cast shifting shadows. Quinn’s breath caught. Vendors hawked wares that made no sense—glass vials filled with swirling mist, jewelry that seemed to pulse with its own heartbeat, books bound in what looked like human skin. The crowd was a mix of ordinary-looking people and others who… weren’t. A woman with too many fingers counted coins into a merchant’s palm. A man with slit-pupiled eyes licked his lips as they passed. Tomás leaned close, his breath warm against her ear. “Told you.” She scanned the crowd, searching for the hooded figure. There—near a stall selling what appeared to be teeth strung on wire. Quinn moved forward, but Tomás grabbed her wrist. “Slow. Easy. You rush here, you end up in a stew pot.” She shook him off but adjusted her pace. The suspect glanced back once, then ducked behind a curtained-off section at the far end of the platform. A vendor blocked her path—a hunched figure with skin like tree bark. “Looking for something, darling?” Quinn sidestepped without answering. The curtain swayed ahead, beckoning. Tomás’ hand landed on her shoulder. “Last chance to turn around.” She shrugged him off and reached for the fabric. The moment her fingers brushed it, the world tilted. The market noise faded, replaced by a ringing silence. The curtain wasn’t fabric—it was cold, slick, like touching the surface of still water. Tomás cursed behind her. Quinn stepped through.
created_at"2026-02-19T12:48:28.705Z" 2/19/2026, 12:48:28 PM
model"deepseek/deepseek-chat-v3-0324"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency979
moderation_latency(null)
generation_time89592
tokens_prompt1140
tokens_completion1498
native_tokens_prompt1002
native_tokens_completion1271
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached64
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"
usage0.00117491
router(null)
provider_responses
0
endpoint_id"820376cb-f110-4d56-ab52-5bd6ca269420"
id"chatcmpl-RYFQaW8c2R7C5OKNfnle7v1M"
is_byokfalse
latency85
model_permaslug"deepseek/deepseek-chat-v3-0324"
provider_name"DeepInfra"
status200
api_type"completions"
id"gen-1771505308-JyeoHGn8enbKXsGXio6Z"
upstream_id"chatcmpl-RYFQaW8c2R7C5OKNfnle7v1M"
total_cost0.00117491
cache_discount0.00000416
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
totalTags1
adverbTagCount0
adverbTags(empty)
dialogueSentences19
tagDensity0.053
leniency0.105
rawRatio0
effectiveRatio0
94.50% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount909
totalAiIsmAdverbs1
found
0
adverb"really"
count1
highlights
0"really"
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)
44.99% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount909
totalAiIsms10
found
0
word"pulse"
count2
1
word"warmth"
count1
2
word"flicked"
count1
3
word"silence"
count2
4
word"whisper"
count1
5
word"intricate"
count1
6
word"echoed"
count1
7
word"scanned"
count1
highlights
0"pulse"
1"warmth"
2"flicked"
3"silence"
4"whisper"
5"intricate"
6"echoed"
7"scanned"
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
narrationSentences73
matches(empty)
84.15% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount2
narrationSentences73
filterMatches
0"watch"
hedgeMatches
0"seemed to"
1"appeared to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences92
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen31
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords891
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions6
unquotedAttributions0
matches(empty)
77.82% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions24
wordCount762
uniqueNames8
maxNameDensity1.44
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Quinn11
Raven1
Nest1
Saint1
Christopher1
Herrera1
Tube1
Tomás7
persons
0"Quinn"
1"Raven"
2"Saint"
3"Christopher"
4"Herrera"
5"Tomás"
places(empty)
globalScore0.778
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences58
glossingSentenceCount1
matches
0"jewelry that seemed to pulse with its own heartbeat, books bound in what looked like human skin"
1"looked like human skin"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount891
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences92
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs41
mean21.73
std15.78
cv0.726
sampleLengths
049
13
254
339
439
528
644
75
827
917
106
1114
1233
1311
1411
1531
1636
1716
1812
195
207
219
2251
2310
2417
2533
2619
2736
283
2964
3011
3121
3220
3326
3416
359
3611
379
3832
394
403
95.65% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences73
matches
0"being hunted"
1"was carved"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs136
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount13
semicolonCount0
flaggedSentences12
totalSentences92
ratio0.13
matches
0"Harlow Quinn’s boots splashed through puddles as she sprinted after the figure darting ahead—hood up, shoulders hunched, moving with the desperate speed of someone who knew they were being hunted."
1"Ahead, the suspect ducked into a recessed doorway—just a shadow against darker shadows."
2"The green neon sign above the entrance buzzed faintly—The Raven’s Nest."
3"Then, from the corner of the room—a scrape of chair legs."
4"She crossed the room, running her fingers along the spines of the books until she found the trigger—a slight give beneath her touch."
5"The scent of damp earth and something sharper—ozone, maybe—rose to meet her."
6"Voices echoed ahead—laughter, bartering, the occasional sharp disagreement."
7"They rounded a bend, and the tunnel opened into a cavernous space—an abandoned Tube station repurposed into a sprawling market."
8"Vendors hawked wares that made no sense—glass vials filled with swirling mist, jewelry that seemed to pulse with its own heartbeat, books bound in what looked like human skin."
9"There—near a stall selling what appeared to be teeth strung on wire."
10"A vendor blocked her path—a hunched figure with skin like tree bark."
11"The curtain wasn’t fabric—it was cold, slick, like touching the surface of still water."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount734
adjectiveStacks0
stackExamples(empty)
adverbCount18
adverbRatio0.02452316076294278
lyAdverbCount2
lyAdverbRatio0.0027247956403269754
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences92
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences92
mean9.68
std5.72
cv0.59
sampleLengths
019
130
23
311
418
511
614
711
815
913
1013
1111
1215
133
1411
157
167
179
1810
1914
2011
215
2212
2315
245
2512
263
273
2812
292
304
3111
3211
337
346
355
366
375
3813
3910
408
413
4223
4310
444
4512
465
477
485
497
70.65% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.45652173913043476
totalSentences92
uniqueOpeners42
46.30% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences72
matches
0"Then, from the corner of"
ratio0.014
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount12
totalSentences72
matches
0"Her quarry skidded around a"
1"She approached, cautious."
2"His gaze flicked to her"
3"Her fingers tapped once against"
4"She turned toward him, shoulders"
5"She crossed the room, running"
6"She met his warm brown"
7"He hesitated, then reached into"
8"They rounded a bend, and"
9"She scanned the crowd, searching"
10"She shook him off but"
11"She shrugged him off and"
ratio0.167
1.67% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount66
totalSentences72
matches
0"The rain hammered down on"
1"Harlow Quinn’s boots splashed through"
2"The command ripped from her"
3"The suspect vaulted over a"
4"Quinn followed, her sharp jaw"
5"Military training kept her pace"
6"The alley stank of wet"
7"Her quarry skidded around a"
8"Wood splintered under Quinn’s boots"
9"Quinn slowed, hand hovering near"
10"The door creaked open, revealing"
11"She approached, cautious."
12"The green neon sign above"
13"The door didn’t resist when"
14"Warmth and the murmur of"
15"The bar was half-empty, patrons"
16"Maps and photographs covered the"
17"A bartender with a tattooed"
18"His gaze flicked to her"
19"Quinn strode to the counter."
ratio0.917
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences72
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences40
technicalSentenceCount2
matches
0"Harlow Quinn’s boots splashed through puddles as she sprinted after the figure darting ahead—hood up, shoulders hunched, moving with the desperate speed of some…"
1"Vendors hawked wares that made no sense—glass vials filled with swirling mist, jewelry that seemed to pulse with its own heartbeat, books bound in what looked l…"
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags1
uselessAdditionCount1
matches
0"Tomás Herrera said, voice low"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences19
tagDensity0.053
leniency0.105
rawRatio0
effectiveRatio0
80.5243%