Run: 2026-02-19-01KHTR1XWW8EFA7SY63FBDESTX

Run Details

Duration:
1m 23s
Cost:
$0.001593
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, relentless and cold, turning the streets into a shifting kaleidoscope of neon reflections. Detective Harlow Quinn’s boots splashed through puddles as she sprinted after the shadowy figure darting ahead. Her breath came in sharp bursts, the damp air clinging to her lungs. The suspect—hooded, quick, and unnervingly familiar with the labyrinthine alleys of Soho—vanished around a corner. “Met Police! Stop!” Her voice cut through the downpour, sharp and commanding, but the figure didn’t so much as hesitate. She rounded the corner, her hand instinctively brushing the grip of her holstered weapon. The alley narrowed, walls closing in like a trap. Up ahead, the hooded figure slipped through a rusted gate, disappearing into the darkness beyond. Quinn skidded to a halt, her sharp jaw tightening as she assessed the situation. The gate hung ajar, creaking in the wind. Beyond it, a set of slick metal stairs descended into the bowels of the city. Her worn leather watch ticked loudly against her wrist, a metronome counting down the seconds before her quarry slipped away entirely. She hesitated, her military-trained instincts warring with the unknown. This wasn’t protocol. This wasn’t smart. But something about this suspect grated on her, a nagging sense that this wasn’t just another petty criminal. The clatter of footsteps echoed up from below. She clenched her fists, rain dripping from her closely cropped salt-and-pepper hair. “Damn it,” she muttered under her breath before stepping through the gate. The stairs were treacherous, slick with rain and grime. She descended carefully, her gaze sweeping the shadows below. The air grew colder, heavier, as if the city above had been swallowed by something ancient and indifferent. At the bottom of the stairs, a dimly lit corridor stretched out, its walls lined with peeling posters and faded graffiti. A faint hum of activity drifted from somewhere ahead. Quinn moved forward, her senses on high alert. The corridor opened into a cavernous space, an abandoned Tube station repurposed into something far more illicit. The Veil Market. She’d heard whispers of this place, a black market for the supernatural, but she hadn’t believed it until now. Stalls lined the platform, their vendors hawking bizarre wares under flickering lantern light. Enchanted trinkets glimmered on rickety tables, jars of glowing liquids drew curious onlookers, and shadowy figures exchanged bone tokens for secrets best left untold. The air was thick with the scent of incense and damp stone. Her eyes scanned the crowd, searching for the hooded figure. There—moving swiftly toward the far end of the platform. She moved to follow, but a hand gripped her arm, firm and sudden. “You lost, Detective?” She turned, her heart racing, to face a man with olive skin and warm brown eyes. His short curly dark brown hair framed a face marked by a scar running along his left forearm. A Saint Christopher medallion glinted at his throat. “Tomás Herrera,” she said, recognition flashing in her mind. “Former paramedic. Lost your license for dabbling in unauthorized treatments.” “Flattered you remember me,” he said, his voice low and edged with caution. “But you’re not supposed to be here. This isn’t your jurisdiction.” “Neither was that alley,” she shot back, pulling her arm free. “But here we are.” Tomás glanced around, his expression grim. “You’re chasing someone, aren’t you? Someone who led you down here.” “What’s it to you?” He leaned in closer, his voice dropping to a whisper. “Because this place isn’t safe for humans, especially nosy detectives. You don’t have a bone token, do you?” Quinn hesitated. “No.” Tomás sighed, pinching the bridge of his nose. “Of course you don’t. Look, I’ll take you out of here before someone notices you sticking out like a sore thumb. But you need to let this go. Whatever you’re chasing, it’s not worth it.” Her jaw clenched. “Three years ago, I lost my partner on a case I never solved. The trail went cold, but I’ve never stopped looking. And suddenly, tonight, I see someone who fits the description of a suspect linked to that case. You think I’m going to walk away now?” Tomás’s eyes softened, a flicker of understanding in them. “DS Morris. I remember hearing about that. But Harlow, this isn’t the way. Whatever’s down here, it’s not something you can handle alone.” She stared at him, rain dripping from her coat onto the cracked concrete floor. The hooded figure was almost out of sight, disappearing into the throng. She glanced back at Tomás, his hand still hovering as if to stop her. “I’ve been alone for three years,” she said finally. “I’m not stopping now.” With that, she turned and plunged into the crowd, weaving through the stalls with determined precision. Tomás cursed under his breath in Spanish, but he didn’t follow. The suspect reached the end of the platform and ducked through a low archway into a tunnel. Quinn quickened her pace, her pulse thundering in her ears. The tunnel was dark, its walls damp and slick with moisture. She pulled out her flashlight, its beam cutting through the gloom. The suspect was there, standing at the end of the tunnel, their hood pulled low. Quinn slowed, her hand resting on her weapon. “Met Police. You’re under—” The figure turned, their face obscured by shadows. “You shouldn’t have followed me, Detective.” The voice was low, almost a growl, and sent a chill down her spine. She took a step forward, her flashlight illuminating the figure’s gloved hands as they reached into their coat. “Hands where I can see them!” A faint smirk tugged at the figure’s lips. “You won’t find what you’re looking for here. This case is bigger than you know.” Her grip tightened on her flashlight. “Tell me what happened to DS Morris.” The figure tilted their head, as if considering her request. Then, in a blur of movement, they threw something to the ground. A cloud of smoke erupted, choking and acrid. Quinn coughed, her eyes watering as she stumbled back. When the smoke cleared, the figure was gone. She stood alone in the tunnel, her flashlight flickering weakly. The sound of distant footsteps echoed, fading into the darkness. Her chest heaved, frustration and determination warring within her. She wasn’t done. Not yet.
created_at"2026-02-19T10:45:12.227Z" 2/19/2026, 10:45:12 AM
model"deepseek/deepseek-chat-v3"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency328
moderation_latency(null)
generation_time83388
tokens_prompt1140
tokens_completion1693
native_tokens_prompt1002
native_tokens_completion1430
native_tokens_completion_images(null)
native_tokens_reasoning0
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"
usage0.00159334
router(null)
provider_responses
0
endpoint_id"5294d55f-9012-496b-8f22-8cc919432dcd"
id"chatcmpl-RRdChflEZhttsOxxEAxbOaxd"
is_byokfalse
latency59
model_permaslug"deepseek/deepseek-chat-v3"
provider_name"DeepInfra"
status200
api_type"completions"
id"gen-1771497912-NKU4KU2bjQSQVUPmrCm4"
upstream_id"chatcmpl-RRdChflEZhttsOxxEAxbOaxd"
total_cost0.00159334
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
totalTags6
adverbTagCount1
adverbTags
0"she said finally [finally]"
dialogueSentences23
tagDensity0.261
leniency0.522
rawRatio0.167
effectiveRatio0.087
90.45% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1047
totalAiIsmAdverbs2
found
0
adverb"carefully"
count1
1
adverb"suddenly"
count1
highlights
0"carefully"
1"suddenly"
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)
14.04% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1047
totalAiIsms18
found
0
word"kaleidoscope"
count1
1
word"familiar"
count1
2
word"footsteps"
count2
3
word"echoed"
count2
4
word"treacherous"
count1
5
word"scanned"
count1
6
word"racing"
count1
7
word"whisper"
count1
8
word"jaw clenched"
count1
9
word"flicker"
count1
10
word"determined"
count1
11
word"quickened"
count1
12
word"pulse"
count1
13
word"gloom"
count1
14
word"chill"
count1
15
word"down her spine"
count1
highlights
0"kaleidoscope"
1"familiar"
2"footsteps"
3"echoed"
4"treacherous"
5"scanned"
6"racing"
7"whisper"
8"jaw clenched"
9"flicker"
10"determined"
11"quickened"
12"pulse"
13"gloom"
14"chill"
15"down her spine"
0.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches4
maxInWindow4
found
0
label"clenched jaw/fists"
count1
1
label"jaw/fists clenched"
count1
2
label"air was thick with"
count1
3
label"sent a shiver through"
count1
highlights
0"clenched her fists"
1"jaw clenched"
2"The air was thick with"
3"sent a chill down"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences73
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences73
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences89
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen47
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1041
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions20
wordCount811
uniqueNames10
maxNameDensity0.86
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Tomás"
discoveredNames
Harlow1
Quinn7
Soho1
Tube1
Veil1
Market1
Saint1
Christopher1
Tomás5
Spanish1
persons
0"Harlow"
1"Quinn"
2"Saint"
3"Christopher"
4"Tomás"
places
0"Soho"
1"Spanish"
globalScore1
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences65
glossingSentenceCount1
matches
0"as if considering her request"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1041
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences89
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs33
mean31.55
std18.26
cv0.579
sampleLengths
061
120
275
354
432
566
647
749
832
93
1042
1119
1224
1315
1417
154
1628
173
1843
1950
2032
2140
2213
2327
2449
2527
2628
2724
2823
2913
3047
3129
325
95.65% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences73
matches
0"been swallowed"
1"was gone"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs147
matches(empty)
78.65% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount3
semicolonCount0
flaggedSentences2
totalSentences89
ratio0.022
matches
0"The suspect—hooded, quick, and unnervingly familiar with the labyrinthine alleys of Soho—vanished around a corner."
1"There—moving swiftly toward the far end of the platform."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount817
adjectiveStacks0
stackExamples(empty)
adverbCount24
adverbRatio0.02937576499388005
lyAdverbCount11
lyAdverbRatio0.01346389228886169
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences89
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences89
mean11.7
std6.88
cv0.588
sampleLengths
017
116
213
315
420
514
69
715
814
98
1015
1121
129
133
143
1518
168
1712
1812
199
209
2118
2221
239
248
2517
263
2719
2813
2924
3012
3110
329
3313
343
3516
3618
378
389
3910
4013
4111
4211
434
446
4511
464
4710
4818
492
64.04% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.4044943820224719
totalSentences89
uniqueOpeners36
46.95% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences71
matches
0"Then, in a blur of"
ratio0.014
67.89% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount27
totalSentences71
matches
0"Her breath came in sharp"
1"Her voice cut through the"
2"She rounded the corner, her"
3"Her worn leather watch ticked"
4"She hesitated, her military-trained instincts"
5"She clenched her fists, rain"
6"she muttered under her breath"
7"She descended carefully, her gaze"
8"She’d heard whispers of this"
9"Her eyes scanned the crowd,"
10"She moved to follow, but"
11"She turned, her heart racing,"
12"His short curly dark brown"
13"she said, recognition flashing in"
14"he said, his voice low"
15"she shot back, pulling her"
16"He leaned in closer, his"
17"Her jaw clenched."
18"She stared at him, rain"
19"She glanced back at Tomás,"
ratio0.38
16.34% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount63
totalSentences71
matches
0"The rain hammered down, relentless"
1"Detective Harlow Quinn’s boots splashed"
2"Her breath came in sharp"
3"The suspect—hooded, quick, and unnervingly"
4"Her voice cut through the"
5"She rounded the corner, her"
6"The alley narrowed, walls closing"
7"Quinn skidded to a halt,"
8"The gate hung ajar, creaking"
9"Her worn leather watch ticked"
10"She hesitated, her military-trained instincts"
11"This wasn’t protocol."
12"This wasn’t smart."
13"The clatter of footsteps echoed"
14"She clenched her fists, rain"
15"she muttered under her breath"
16"The stairs were treacherous, slick"
17"She descended carefully, her gaze"
18"The air grew colder, heavier,"
19"A faint hum of activity"
ratio0.887
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences71
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences40
technicalSentenceCount2
matches
0"The air grew colder, heavier, as if the city above had been swallowed by something ancient and indifferent."
1"The figure tilted their head, as if considering her request."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags6
uselessAdditionCount2
matches
0"she said, recognition flashing in her mind"
1"he said, his voice low and edged with caution"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount1
fancyTags
0"she muttered (mutter)"
dialogueSentences23
tagDensity0.174
leniency0.348
rawRatio0.25
effectiveRatio0.087
78.5781%