Run: 2026-02-19-01KHTYJHBPKSAF4B9NKVW84852

Run Details

Duration:
42.7s
Cost:
$0.001074
Provider:
SiliconFlow

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 diagonal sheets, turning the sodium glare of the Soho streetlights into smeared halos. Detective Harlow Quinn’s breath tore from her lungs in ragged white puffs, her feet pounding the slick pavement in a rhythm of pure pursuit. Ahead, a dark shape—little more than a deeper shadow against the wet brick—darted around a corner. She didn’t shout for him to stop. Warnings were for uniforms and patrol cars, and she was neither. She was eighteen years of chasing shadows, and this one, a wiry man named Kael with eyes that reflected light a little too brightly, had slipped through her fingers twice before. Tonight, he’d been meeting someone under the green neon sign of The Raven’s Nest. He’d bolted the second he saw her sharp jaw and salt-and-pepper crop through the rain-streaked window. Quinn pushed harder, her leather boots skidding on wet cobbles. The chase was a straight line of instinct, a vector cutting through the labyrinth of back alleys. Her left wrist, where the worn leather of her watch strap dug into her skin, ached with a familiar tension. Three years. Three years since a chase like this had ended with Morris’s blood on her hands, cold and inexplicable. Kael vanished down a set of wrought-iron stairs, a service entrance to the old Northern Line. Quinn didn’t hesitate. She took the steps two at a time, the metal ringing under her heels. The air changed as she descended, the chill of the rain replaced by a deeper, earthier cold that smelled of damp concrete and something else—ozone and old incense. The abandoned Tube station was a cathedral of decay. Grime-caked tiles, posters peeling in fungal blooms, the ghost of a platform ahead. But Kael wasn’t on the platform. He was at the far end of the tunnel, a silhouette against a faint, flickering orange light that had no business being there. He glanced back once, his eyes catching the distant light like an animal’s, and then he slipped through a ragged break in the tunnel wall. Quinn slowed to a walk, her hand going to the sidearm under her soaked trench coat. The opening wasn’t part of any Transport for London schematic. It was a jagged tear, like the wall had been clawed apart. The light from within pulsed, low and rhythmic. She heard a murmur of voices, the clink of glass, a low, melodic hum that set her teeth on edge. She approached the breach, the hair on her nape rising. Through the gap, she saw a space that defied the station’s geometry. It was vast, a cavernous expanse that shouldn’t have fit beneath Camden. Stalls made of scavenged wood and rusted iron stretched into the gloom, lit by lanterns that burned with witch-light. The air was thick with the scent of strange spices, hot metal, and rot. The Veil Market. She’d heard whispers. Crazy talk from informants with the DTs, dismissed as junkie ramblings. A market that moved. A market for things that shouldn’t exist. Kael was already melting into the crowd—a shifting, unnerving tapestry of figures. A woman with feathers woven into her hair haggled over a jar of swirling smoke. A man whose shadow moved independently of his body examined a blade that drank the light around it. Every sense Quinn possessed screamed at her to retreat, to call for backup, to log this and let it become someone else’s problem. Morris’s face flashed in her mind. Not as he was in life, laughing over a terrible canteen coffee, but as he was in death. Pale. Empty. With a wound no coroner could explain. The official report called it an animal attack. Quinn knew the sound a knife makes. This wasn’t that. Kael was connected. He was a courier for things that bled into her world and left corpses with impossible injuries. He was her only tangible thread into the darkness that had taken her partner. “You’re not supposed to be here.” The voice came from her left, calm and accented. A man leaned against the tunnel wall just inside the market’s boundary, as if standing guard. He had warm brown eyes and short, curly dark hair, olive skin marked by the damp chill. A Saint Christopher medallion glinted at his throat. His sleeves were rolled up, revealing a thick, ropy scar running the length of his left forearm. “Police.” Quinn flashed her badge, her eyes never leaving Kael’s retreating back. “That man is a suspect in an investigation.” The man—Tomás—didn’t even look at the badge. He pushed off the wall, blocking her path more fully. He wasn’t imposing, but there was a solid, unyielding practicality to his stance. A former medic’s steadiness. “Your investigation ends at the wall, Detective. This isn’t your jurisdiction. You don’t have a token.” “I don’t need a token. I need him.” Her voice was granite. “What you need is to turn around.” Tomás’s gaze was assessing, clinical. He took in her soaked coat, the determined set of her jaw, the military precision in her bearing even now. He saw the ghost haunting her eyes. “This place… it eats the unprepared. You follow him in there, you’re not coming out. Not as you are.” “Are you threatening an officer?” “I’m stating a fact. I’ve seen what comes out of the deeper stalls. I’ve tried to stitch it back together.” He touched his medallion, a subconscious gesture. “There are no police here. Only buyers, sellers, and prey. Which are you?” Kael was almost at the far end of the market, approaching a curtained alcove where the light was a sickly, pulsating green. This was her last chance to keep him in sight. Morris’s voice, always the cautious one: *“Wait for the team, Harlow. Always wait for the team.”* But the team hadn’t been there for Morris. The team had rules, and the thing that killed him laughed at rules. Tomás saw the decision hardening in her face. He shook his head, a faint, grim smile touching his lips. “Stubborn. I know the type. You’ll go in anyway.” “You can’t stop me.” “I’m not going to try. But take this.” He reached into his pocket and pressed a small, cool object into her palm. It was a bone, carved into the shape of a key, polished smooth by handling. A token. “It won’t protect you. But it means you’re not just stumbling in blind. It means you chose to be here. Some of the vendors will respect that. Some won’t care.” Quinn closed her fingers around the bone key. It felt too light, too ancient. “Why?” “Because someone should.” His warm brown eyes held hers. “And because if you survive, you might need a medic. Off the books.” He stepped aside, melting back into the shadow of the wall, becoming just another part of the market’s periphery. Quinn stood at the threshold, the chaotic symphony of the Market ahead, the empty, silent tunnel behind. The rain from the world above was a distant memory. Here, the air was dry and charged. She looked at the bone token in her hand, then at the green-lit alcove where Kael had just disappeared. She thought of Morris’s unexplained wound. She thought of her empty flat, filled with case files and silence. She thought of the absolute, unwavering certainty that if she turned back now, she would never know. The truth, and whatever nightmare it was wrapped in, was through that breach. Detective Harlow Quinn took a final, steadying breath, squared her shoulders with military precision, and stepped across the line.
created_at"2026-02-19T12:39:07.899Z" 2/19/2026, 12:39:07 PM
model"deepseek/deepseek-v3.2-20251201"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2562
moderation_latency(null)
generation_time42511
tokens_prompt1140
tokens_completion2212
native_tokens_prompt1003
native_tokens_completion1913
native_tokens_completion_images(null)
native_tokens_reasoning234
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"
usage0.00107427
router(null)
provider_responses
0
endpoint_id"f270e10b-1d21-4345-9e4e-662ddb5ba441"
is_byokfalse
latency78
model_permaslug"deepseek/deepseek-v3.2-20251201"
provider_name"DeepInfra"
status429
1
endpoint_id"b39a588a-b338-43ba-b046-226b9e24afa8"
id"019c75e946c6eeecaaffc4e9ed14a8dc"
is_byokfalse
latency2559
model_permaslug"deepseek/deepseek-v3.2-20251201"
provider_name"SiliconFlow"
status200
api_type"completions"
id"gen-1771504747-tPedGepK0v3Q56z7Rz6V"
upstream_id"019c75e946c6eeecaaffc4e9ed14a8dc"
total_cost0.00107427
cache_discount(null)
upstream_inference_cost0
provider_name"SiliconFlow"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags4
adverbTagCount0
adverbTags(empty)
dialogueSentences18
tagDensity0.222
leniency0.444
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1271
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)
33.12% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1271
totalAiIsms17
found
0
word"pounding"
count1
1
word"familiar"
count1
2
word"tension"
count1
3
word"chill"
count2
4
word"pulsed"
count1
5
word"rhythmic"
count1
6
word"gloom"
count1
7
word"tapestry"
count1
8
word"tangible"
count1
9
word"imposing"
count1
10
word"determined"
count1
11
word"chaotic"
count1
12
word"symphony"
count1
13
word"charged"
count1
14
word"silence"
count1
15
word"unwavering"
count1
highlights
0"pounding"
1"familiar"
2"tension"
3"chill"
4"pulsed"
5"rhythmic"
6"gloom"
7"tapestry"
8"tangible"
9"imposing"
10"determined"
11"chaotic"
12"symphony"
13"charged"
14"silence"
15"unwavering"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"air was thick with"
count1
highlights
0"The air was thick with"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences90
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences90
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences101
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen31
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords10
totalWords1258
ratio0.008
matches
0"“Wait for the team, Harlow. Always wait for the team.”"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions42
wordCount1077
uniqueNames18
maxNameDensity0.93
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Soho1
Harlow2
Quinn10
Kael8
Raven1
Nest1
Morris5
Northern1
Line1
Tube1
Transport1
London1
Camden1
Veil1
Market2
Saint1
Christopher1
Tomás3
persons
0"Harlow"
1"Quinn"
2"Kael"
3"Raven"
4"Morris"
5"Saint"
6"Christopher"
7"Tomás"
places
0"Soho"
1"Line"
2"London"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences77
glossingSentenceCount1
matches
0"as if standing guard"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.795
wordCount1258
matches
0"Not as he was in life, laughing over a terrible canteen coffee, but as he was in death"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences101
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs32
mean39.31
std23.89
cv0.608
sampleLengths
057
179
267
361
476
566
667
73
825
968
1051
1134
126
1367
1420
1550
1612
1758
185
1940
2032
2116
2221
2328
244
2569
2615
2722
2819
2953
3048
3119
89.67% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences90
matches
0"been clawed"
1"was connected"
2"were rolled"
3"was wrapped"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs173
matches
0"was assessing"
29.70% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount6
semicolonCount0
flaggedSentences4
totalSentences101
ratio0.04
matches
0"Ahead, a dark shape—little more than a deeper shadow against the wet brick—darted around a corner."
1"The air changed as she descended, the chill of the rain replaced by a deeper, earthier cold that smelled of damp concrete and something else—ozone and old incense."
2"Kael was already melting into the crowd—a shifting, unnerving tapestry of figures."
3"The man—Tomás—didn’t even look at the badge."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1090
adjectiveStacks1
stackExamples
0"short, curly dark hair,"
adverbCount27
adverbRatio0.024770642201834864
lyAdverbCount6
lyAdverbRatio0.005504587155963303
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences101
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences101
mean12.46
std6.68
cv0.537
sampleLengths
017
124
216
37
411
531
614
716
810
917
1020
112
1218
1316
143
1514
1628
179
1813
196
2023
2125
2216
2310
2412
258
2620
2710
2812
2912
3019
3114
323
333
3411
354
367
3712
3815
3918
4023
416
4218
431
441
457
468
477
483
493
53.14% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats13
diversityRatio0.39603960396039606
totalSentences101
uniqueOpeners40
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences86
matches(empty)
ratio0
71.16% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount32
totalSentences86
matches
0"She didn’t shout for him"
1"She was eighteen years of"
2"He’d bolted the second he"
3"Her left wrist, where the"
4"She took the steps two"
5"He was at the far"
6"He glanced back once, his"
7"It was a jagged tear,"
8"She heard a murmur of"
9"She approached the breach, the"
10"It was vast, a cavernous"
11"She’d heard whispers."
12"He was a courier for"
13"He was her only tangible"
14"He had warm brown eyes"
15"His sleeves were rolled up,"
16"He pushed off the wall,"
17"He wasn’t imposing, but there"
18"Her voice was granite"
19"He took in her soaked"
ratio0.372
12.33% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount77
totalSentences86
matches
0"The rain fell in diagonal"
1"Detective Harlow Quinn’s breath tore"
2"She didn’t shout for him"
3"Warnings were for uniforms and"
4"She was eighteen years of"
5"Tonight, he’d been meeting someone"
6"He’d bolted the second he"
7"Quinn pushed harder, her leather"
8"The chase was a straight"
9"Her left wrist, where the"
10"Kael vanished down a set"
11"Quinn didn’t hesitate."
12"She took the steps two"
13"The air changed as she"
14"The abandoned Tube station was"
15"He was at the far"
16"He glanced back once, his"
17"Quinn slowed to a walk,"
18"The opening wasn’t part of"
19"It was a jagged tear,"
ratio0.895
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences86
matches(empty)
ratio0
75.47% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences53
technicalSentenceCount5
matches
0"She was eighteen years of chasing shadows, and this one, a wiry man named Kael with eyes that reflected light a little too brightly, had slipped through her fin…"
1"He was at the far end of the tunnel, a silhouette against a faint, flickering orange light that had no business being there."
2"She heard a murmur of voices, the clink of glass, a low, melodic hum that set her teeth on edge."
3"It was vast, a cavernous expanse that shouldn’t have fit beneath Camden."
4"Stalls made of scavenged wood and rusted iron stretched into the gloom, lit by lanterns that burned with witch-light."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags4
uselessAdditionCount0
matches(empty)
94.44% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount1
fancyTags
0"He reached (reach)"
dialogueSentences18
tagDensity0.056
leniency0.111
rawRatio1
effectiveRatio0.111
81.7678%