Run: 2026-02-19-01KHTY8A3SVYST9S3ES1N2K1VA

Run Details

Duration:
1m 14s
Cost:
$0.000861
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 against the pavement, turning the neon reflections into liquid streaks of green and red. Harlow Quinn sprinted past the flickering sign of The Raven’s Nest, her boots splashing through puddles that swallowed the sound of her footsteps. Ahead, a figure darted around the corner—Tomás Herrera, his dark coat flapping like a wounded bird’s wing. "Stop! Police!" Her voice cut through the downpour, but Tomás didn’t slow. She vaulted over a stack of overturned crates, her breath sharp in her lungs. The alley narrowed, walls pressing in, slick with grime. Tomás slipped through a rusted gate, vanishing into the shadows. Quinn didn’t hesitate. She shoved through after him, the metal shrieking against concrete. The passage dropped steeply, stairs slick with moss and rainwater. The air thickened, damp and sour, the stench of old earth and something sharper—ozone, maybe, or magic. Her pulse thudded in her throat. At the bottom, a dim glow pulsed from an archway carved into the tunnel wall. A single green lantern swung above it, casting jagged shadows. Tomás stood just inside, silhouetted against the light, his medallion glinting gold against his chest. "You don’t want to follow me in there, Detective." His accent curled around the words, frayed at the edges. Quinn wiped rain from her face, fingers brushing the grip of her sidearm. "Then come out." Tomás shook his head. "This isn’t your world." She took a step forward. "You’re wanted for questioning in three assaults. That makes it my business." A laugh, low and humorless. "Those men weren’t human." The words settled between them, heavy as a stone. Quinn’s jaw tightened. Morris had said something like that, once. Right before he vanished. Tomás turned, slipping deeper into the archway. Quinn hesitated. The lantern’s light flickered, distorting the shadows. Beyond the arch, murmurs rose and fell like tide—voices, but none sounded quite right. Too many syllables. Too many teeth. Her hand hovered over her gun. Then she stepped through. The air shifted, pressing against her skin like a living thing. The tunnel opened into a cavernous space—an abandoned Tube station, its tiles cracked and stained. Stalls lined the platform, draped in moth-eaten velvet and strung with fairy lights that burned without heat. The Veil Market. Figures moved between the stalls, hooded, masked, some not bothering with human shapes at all. A vendor with too-long fingers offered vials of something that writhed inside the glass. Another displayed knives that whispered as Quinn passed. Tomás was already halfway down the platform, weaving through the crowd. She moved after him, shoulders tense. Eyes tracked her—yellow, black, pupil-less. A creature with skin like polished bone tilted its head, nostrils flaring. "Fresh meat," it hissed. Quinn kept walking. Tomás ducked into a stall at the far end, its curtains embroidered with silver thread. She pushed through after him, hand on her gun. The space inside was cramped, shelves crammed with jars of pickled things that twitched. A woman sat behind the counter, her face hidden behind a veil of smoke. Tomás leaned against the counter, breathing hard. "Told you not to follow." Quinn’s fingers flexed. "Who are these people?" The veiled woman chuckled. "People. That’s cute." Tomás rubbed his scarred forearm. "You shouldn’t be here, Quinn. This place… it eats cops." The words landed like a punch. Morris’s badge had been found in the Thames, rusted through, though he’d only been missing a day. Quinn exhaled. "Then tell me what you know." Tomás exchanged a glance with the woman. The air smelled like burnt sugar and blood. Outside, the Market murmured on, hungry.
created_at"2026-02-19T12:33:32.798Z" 2/19/2026, 12:33:32 PM
model"deepseek/deepseek-chat-v3-0324"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency729
moderation_latency(null)
generation_time74342
tokens_prompt1140
tokens_completion1016
native_tokens_prompt1002
native_tokens_completion879
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"
usage0.00086059
router(null)
provider_responses
0
endpoint_id"820376cb-f110-4d56-ab52-5bd6ca269420"
id"chatcmpl-RzTKOl4XVvC46JyufF7a7eeb"
is_byokfalse
latency78
model_permaslug"deepseek/deepseek-chat-v3-0324"
provider_name"DeepInfra"
status200
api_type"completions"
id"gen-1771504412-qIWsIgkb2nGo6Gw8IckB"
upstream_id"chatcmpl-RzTKOl4XVvC46JyufF7a7eeb"
total_cost0.00086059
cache_discount0.00001664
upstream_inference_cost0
provider_name"DeepInfra"

Evaluation details

Result Evaluator Details Meta Data
33.33% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags3
adverbTagCount1
adverbTags
0"His accent curled around [around]"
dialogueSentences12
tagDensity0.25
leniency0.5
rawRatio0.333
effectiveRatio0.167
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount602
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)
50.17% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount602
totalAiIsms6
found
0
word"footsteps"
count1
1
word"pulse"
count1
2
word"pulsed"
count1
3
word"glinting"
count1
4
word"flickered"
count1
5
word"velvet"
count1
highlights
0"footsteps"
1"pulse"
2"pulsed"
3"glinting"
4"flickered"
5"velvet"
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
narrationSentences59
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences59
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences68
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen23
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords595
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
46.42% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions28
wordCount531
uniqueNames9
maxNameDensity2.07
worstName"Tomás"
maxWindowNameDensity3
worstWindowName"Tomás"
discoveredNames
Quinn9
Raven1
Nest1
Tomás11
Herrera1
Tube1
Veil1
Market2
Thames1
persons
0"Quinn"
1"Raven"
2"Tomás"
3"Herrera"
places
0"Thames"
globalScore0.464
windowScore0.667
28.05% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences41
glossingSentenceCount2
matches
0"something like that, once"
1"smelled like burnt sugar and blood"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount595
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences68
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs32
mean18.59
std13.96
cv0.751
sampleLengths
057
112
246
333
440
519
616
78
817
99
1023
117
1229
136
144
1543
163
1737
1811
1923
204
213
2224
2328
2412
257
267
2715
2823
298
3015
316
99.32% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences59
matches
0"been found"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs101
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount0
flaggedSentences5
totalSentences68
ratio0.074
matches
0"Ahead, a figure darted around the corner—Tomás Herrera, his dark coat flapping like a wounded bird’s wing."
1"The air thickened, damp and sour, the stench of old earth and something sharper—ozone, maybe, or magic."
2"Beyond the arch, murmurs rose and fell like tide—voices, but none sounded quite right."
3"The tunnel opened into a cavernous space—an abandoned Tube station, its tiles cracked and stained."
4"Eyes tracked her—yellow, black, pupil-less."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount538
adjectiveStacks0
stackExamples(empty)
adverbCount19
adverbRatio0.03531598513011153
lyAdverbCount2
lyAdverbRatio0.0037174721189591076
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences68
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences68
mean8.75
std5.07
cv0.58
sampleLengths
017
123
217
312
414
59
610
73
810
910
1017
116
1215
1310
1415
1519
1613
173
184
194
205
2112
225
234
249
253
267
274
287
292
307
3114
323
333
346
354
3611
3715
3817
393
4015
4114
428
4311
446
455
4612
474
483
4915
61.76% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.39705882352941174
totalSentences68
uniqueOpeners27
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount4
totalSentences56
matches
0"Right before he vanished."
1"Too many syllables."
2"Too many teeth."
3"Then she stepped through."
ratio0.071
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount9
totalSentences56
matches
0"Her voice cut through the"
1"She vaulted over a stack"
2"She shoved through after him,"
3"Her pulse thudded in her"
4"His accent curled around the"
5"She took a step forward."
6"Her hand hovered over her"
7"She moved after him, shoulders"
8"She pushed through after him,"
ratio0.161
31.43% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount48
totalSentences56
matches
0"The rain hammered against the"
1"Harlow Quinn sprinted past the"
2"Her voice cut through the"
3"She vaulted over a stack"
4"The alley narrowed, walls pressing"
5"Tomás slipped through a rusted"
6"Quinn didn’t hesitate."
7"She shoved through after him,"
8"The passage dropped steeply, stairs"
9"The air thickened, damp and"
10"Her pulse thudded in her"
11"A single green lantern swung"
12"Tomás stood just inside, silhouetted"
13"His accent curled around the"
14"Quinn wiped rain from her"
15"Tomás shook his head."
16"She took a step forward."
17"A laugh, low and humorless."
18"The words settled between them,"
19"Quinn’s jaw tightened."
ratio0.857
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences56
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences24
technicalSentenceCount1
matches
0"Harlow Quinn sprinted past the flickering sign of The Raven’s Nest, her boots splashing through puddles that swallowed the sound of her footsteps."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags3
uselessAdditionCount0
matches(empty)
66.67% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount1
fancyTags
0"it hissed (hiss)"
dialogueSentences12
tagDensity0.083
leniency0.167
rawRatio1
effectiveRatio0.167
80.5715%