Run: 2026-02-19-01KHTXWN7EEB4A4GX1KHRVGGSQ

Run Details

Duration:
1m 13s
Cost:
$0.000719
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 fell in icy sheets, slicking the cobblestones of Soho into a dark mirror. Detective Harlow Quinn’s breath came in ragged white puffs, her boots slapping against the wet pavement as she pushed through the crowd spilling out of a late-night theatre. Her eyes, sharp and brown, never left the back of the man fifty yards ahead—Tomás Herrera, his dark jacket a shifting shadow under the gaudy glow of neon signs. He’d been clean leaving The Raven’s Nest. Quinn had watched from a doorway opposite the bar’s distinctive green sign, the worn leather of her watch band damp against her wrist. Just another night, she’d thought. Then he’d glanced back, a flicker of recognition, and he’d bolted. Not the reaction of an innocent man running medical supplies. Herrera cut left into a narrow alley, vanishing from view. Quinn swore under her breath, her pace surging forward with military precision. She shoved past a couple sharing an umbrella, ignoring their indignant shouts. The alley was a canyon of dripping fire escapes and overflowing bins. The smell of wet brick and rotting garbage filled the air. He was faster than she’d anticipated, his movements economical, sure-footed. A former paramedic, her notes had said. Seville. London NHS. License revoked. The scar on his forearm, just visible when his sleeve rode up—a knife attack. He knew how to handle pressure. He burst out of the alley’s far end, onto a broader, quieter street bordering the canal in Camden. The warehouses here were dark, monolithic. Quinn followed, her jacket soaked through, her salt-and-pepper hair plastered to her scalp. She saw him glance over his shoulder again, his face a pale oval in the gloom, then he darted toward a rusted iron gate half-hidden behind a mound of discarded pallets. He vanished through it. Quinn slowed, approaching the gate with caution. It led to a set of worn stone steps descending into darkness beside an old, bricked-up Tube station entrance. A ‘No Entry’ sign, faded and streaked with rust, hung crookedly from one hinge. This wasn’t on any of her maps. She pulled her torch, the beam cutting through the rain to illuminate the steps. They descended into a deeper blackness. She could radio for backup. Procedure dictated it. The memory of Morris, her partner, ghosted through her mind—a different kind of dark, an unexplained silence on the comms, a case file that made no sense no matter how many times she read it. She’d followed procedure that night, too. A faint, incongruous glow emanated from the base of the steps, accompanied by a low murmur of voices and the clink of glass. It was a sound utterly alien to this derelict place. Quinn holstered her torch and drew her sidearm. She moved down the steps, her back to the wet wall, the sound of the rain overhead fading with each step. The air grew warmer, thick with the scent of incense, ozone, and something coppery. At the bottom, the tunnel opened not into a collapsed sewer or a junkie’s den, but into a cavernous space that stole her breath. The abandoned Tube station platform was alive. Stalls constructed from scrap wood and rich fabrics lined the old platform, lit by flickering lanterns and strings of faerie lights that cast dancing shadows on the arched tile walls. Figures moved through the space—some human, many decidedly not. A creature with bark-like skin and eyes like mossy stones haggled over a bundle of dried herbs. A woman with iridescent scales along her neck examined a dagger that seemed to drink the light around it. The murmur was a cacophony of languages, some guttural, some melodic, none entirely familiar. This was the Veil Market. She’d heard whispers, always dismissed as the ramblings of informants too deep into their own product. An underground market for supernatural goods. Moves every full moon. Entry required a bone token. And Tomás Herrera was here, moving through the crowd with purpose, not as a fugitive, but as a patron. He paused at a stall stacked with cloudy jars of liquid, exchanging a few words with the vendor, a gaunt man with too many fingers. Quinn’s grip tightened on her pistol, hidden against her thigh. Her training screamed at her to fall back, to call in a tactical team, to treat this as a hostile takeover of a critical infrastructure site. But what would she say? *“There’s a goblin selling magic candles in Camden Town station.”* They’d revoke her badge, and she’d never get the answers that kept her awake at night. Morris’s face, smiling in a photo on her desk, surfaced again. His death was in the gaps, in the places procedure couldn’t reach. Places like this. Herrera finished his transaction, tucking a small vial into his inner pocket. He turned, and for a moment, his warm brown eyes locked directly with hers across the crowded platform. There was no panic in his gaze now, only a weary resignation, and a silent challenge. He touched the Saint Christopher medallion at his throat, then melted back into the flow of bodies, heading toward a curtained-off arch at the far end of the platform. He was leading her deeper in. To follow was to abandon every protocol, to step wholly into a world that defied her eighteen years of decorated service. It was the antithesis of police work. It was also, she knew with a cold, certain clarity, the only path forward that hadn’t already been swept clean of clues by men who wore better suits than hers. Quinn took a final breath of the damp tunnel air, shouldered her doubts, and stepped onto the platform. The sea of unnatural commerce parted subtly around her, a human woman with a sharp jaw and a cop’s bearing, a stone dropped into a strange and living stream. She kept her head down, her weapon concealed, and followed the olive-skinned man with the scar on his arm into the heart of the market.
created_at"2026-02-19T12:27:10.962Z" 2/19/2026, 12:27:10 PM
model"deepseek/deepseek-v3.2-20251201"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency593
moderation_latency(null)
generation_time72530
tokens_prompt1140
tokens_completion1502
native_tokens_prompt1003
native_tokens_completion1293
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached256
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"
usage0.00071884
router(null)
provider_responses
0
endpoint_id"f270e10b-1d21-4345-9e4e-662ddb5ba441"
id"chatcmpl-RXmSKS3dRZAqKGGsyYHhXbUb"
is_byokfalse
latency73
model_permaslug"deepseek/deepseek-v3.2-20251201"
provider_name"DeepInfra"
status200
api_type"completions"
id"gen-1771504030-NaEjt7DUq0x02ixqeWaD"
upstream_id"chatcmpl-RXmSKS3dRZAqKGGsyYHhXbUb"
total_cost0.00071884
cache_discount0.00003328
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)
dialogueSentences1
tagDensity1
leniency1
rawRatio0
effectiveRatio0
95.03% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1007
totalAiIsmAdverbs1
found
0
adverb"utterly"
count1
highlights
0"utterly"
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)
65.24% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1007
totalAiIsms7
found
0
word"flicker"
count1
1
word"gloom"
count1
2
word"silence"
count1
3
word"constructed"
count1
4
word"dancing"
count1
5
word"cacophony"
count1
6
word"familiar"
count1
highlights
0"flicker"
1"gloom"
2"silence"
3"constructed"
4"dancing"
5"cacophony"
6"familiar"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"flicker of emotion"
count1
highlights
0"a flicker of recognition"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences72
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences72
filterMatches
0"watch"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences72
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen36
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords10
totalWords995
ratio0.01
matches
0"“There’s a goblin selling magic candles in Camden Town station.”"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions0
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions27
wordCount972
uniqueNames14
maxNameDensity0.82
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Soho1
Harlow1
Quinn8
Tomás2
Herrera4
Raven1
Nest1
Camden1
Tube2
Morris2
Veil1
Market1
Saint1
Christopher1
persons
0"Harlow"
1"Quinn"
2"Tomás"
3"Herrera"
4"Raven"
5"Morris"
6"Saint"
7"Christopher"
places
0"Soho"
1"Camden"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences59
glossingSentenceCount1
matches
0"dagger that seemed to drink the light around it"
0.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches2
per1kWords2.01
wordCount995
matches
0"not into a collapsed sewer or a junkie’s den, but into a cavernous space"
1"not as a fugitive, but as a patron"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences72
matches
0"lights that cast"
96.49% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs19
mean52.37
std25.54
cv0.488
sampleLengths
072
156
257
342
468
54
667
749
833
967
107
1189
1236
1344
1493
1575
166
1758
1872
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences72
matches
0"been swept"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs144
matches
0"was leading"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount0
flaggedSentences4
totalSentences72
ratio0.056
matches
0"Her eyes, sharp and brown, never left the back of the man fifty yards ahead—Tomás Herrera, his dark jacket a shifting shadow under the gaudy glow of neon signs."
1"The scar on his forearm, just visible when his sleeve rode up—a knife attack."
2"The memory of Morris, her partner, ghosted through her mind—a different kind of dark, an unexplained silence on the comms, a case file that made no sense no matter how many times she read it."
3"Figures moved through the space—some human, many decidedly not."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount342
adjectiveStacks0
stackExamples(empty)
adverbCount7
adverbRatio0.02046783625730994
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences72
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences72
mean13.82
std8.59
cv0.622
sampleLengths
015
128
229
37
423
55
611
710
810
912
1012
1112
1211
1310
147
151
162
172
1814
196
2018
216
2213
2331
244
257
2619
2714
287
2914
306
315
323
3335
346
3523
3610
378
3821
3914
4024
417
4230
439
4417
4519
4614
475
4816
496
64.81% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.4305555555555556
totalSentences72
uniqueOpeners31
98.04% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences68
matches
0"Just another night, she’d thought."
1"Then he’d glanced back, a"
ratio0.029
67.06% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount26
totalSentences68
matches
0"Her eyes, sharp and brown,"
1"He’d been clean leaving The"
2"She shoved past a couple"
3"He was faster than she’d"
4"He knew how to handle"
5"He burst out of the"
6"She saw him glance over"
7"He vanished through it."
8"It led to a set"
9"She pulled her torch, the"
10"They descended into a deeper"
11"She could radio for backup."
12"She’d followed procedure that night,"
13"It was a sound utterly"
14"She moved down the steps,"
15"She’d heard whispers, always dismissed"
16"He paused at a stall"
17"Her training screamed at her"
18"They’d revoke her badge, and"
19"His death was in the"
ratio0.382
18.82% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount60
totalSentences68
matches
0"The rain fell in icy"
1"Detective Harlow Quinn’s breath came"
2"Her eyes, sharp and brown,"
3"He’d been clean leaving The"
4"Quinn had watched from a"
5"Herrera cut left into a"
6"Quinn swore under her breath,"
7"She shoved past a couple"
8"The alley was a canyon"
9"The smell of wet brick"
10"He was faster than she’d"
11"A former paramedic, her notes"
12"The scar on his forearm,"
13"He knew how to handle"
14"He burst out of the"
15"The warehouses here were dark,"
16"Quinn followed, her jacket soaked"
17"She saw him glance over"
18"He vanished through it."
19"Quinn slowed, approaching the gate"
ratio0.882
73.53% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences68
matches
0"To follow was to abandon"
ratio0.015
95.24% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences45
technicalSentenceCount3
matches
0"Detective Harlow Quinn’s breath came in ragged white puffs, her boots slapping against the wet pavement as she pushed through the crowd spilling out of a late-n…"
1"The memory of Morris, her partner, ghosted through her mind—a different kind of dark, an unexplained silence on the comms, a case file that made no sense no mat…"
2"It was also, she knew with a cold, certain clarity, the only path forward that hadn’t already been swept clean of clues by men who wore better suits than hers."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags1
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
85.8091%