Run: 2026-02-17-01KHNG01NBE7BPBJWS4SQX2728

Run Details

Duration:
54.5s
Cost:
$0.001134
Provider:
SiliconFlow

Model input

System
You are an expert novelist with a gift for vivid, immersive prose. You write in tight third-person limited point of view with a strong narrative voice. Your prose is clean, precise, and engaging — you favor strong verbs, concrete details, and natural-sounding dialogue. You will be given a story bible (codex) containing canonical details about characters, locations, items, and lore. Use these details to ground your writing in the established world. Stay consistent with the codex. Write only the prose of the scene. Do not include titles, chapter headings, markdown formatting, or any commentary before or after the scene.
User/Human
<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> 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.

Model response

AI
The rain wasn’t falling so much as it was being thrown, a horizontal, needle-sharp assault that turned the neon-lit slick of Soho into a smear of colour and shadow. Detective Harlow Quinn moved through it not with a runner’s frantic grace, but with a brutal, economical purpose. Every footfall on the wet pavement was planted with military precision, her shoulders hunched against the downpour, her brown eyes fixed on the figure fleeing half a block ahead. The suspect—a lanky man in a dark hoodie—had bolted from the side door of The Raven’s Nest. Quinn had been watching the bar for two hours, a cold cup of terrible coffee turning to sludge in her gut. She’d seen the green neon sign buzz and sputter, casting a sickly glow on the wet street. She’d seen the sort of people who slipped inside, the ones who moved like the shadows had substance. And then she’d seen *him*, emerging not with the others, but alone, furtive, clutching a small leather satchel to his chest. When he’d clocked her unmarked car, he’d run. Quinn’s breath came in controlled clouds of steam. Eighteen years on the force had sanded her patience thin, but it had tempered her endurance into steel. She didn’t shout. Shouting was wasted energy. Her sharp jaw was set, her salt-and-pepper hair, cropped close, was plastered to her skull. The worn leather strap of her watch was soaked, a familiar, comforting weight on her left wrist. The suspect darted down a narrow service alley. Quinn followed, the sound of their footfalls swallowed by the drumming rain and the distant wail of a siren. She lost him for a heart-stopping second where the alley kinked, then saw him shove through a rusted iron gate. Beyond was a sunken courtyard, cluttered with bins and the skeletal remains of old market stalls. And at the far end, a set of steep, grimy steps leading down, barred by a heavy steel door. He didn’t fumble with a key. He slapped something—a small, pale object—against a rusted panel beside the door. Quinn, from twenty yards away, caught the faint, unnatural *click*, not of a tumbler turning, but of something unlocking that shouldn’t. The door swung inward, revealing not darkness, but a flickering, sulphurous yellow light. The suspect vanished inside. Quinn skidded to a halt at the top of the steps, water streaming from her coat. Her hand went to her hip, the solid weight of her service weapon a cold reassurance. This was off the map. This wasn’t a crack den or a smuggling hidey-hole. The air wafting up from the doorway smelled of ozone, damp stone, and something else—incense and rotting flowers. *Morris.* The name was a ghost in her mind, a cold spot in her chest. Three years. An abandoned warehouse in Deptford. A case file that made no sense, evidence that defied physics, and her partner’s voice, choked and terrified over the radio, gone silent forever. The official report called it a structural collapse. Quinn knew it was a lid slammed shut on something they weren’t supposed to see. This doorway smelled like that lid being pried open. Logic screamed at her to call it in. Wait for backup. This was a potential hostage situation, an ambush point. But backup would mean uniforms, sirens, protocol. It would mean the suspect, the satchel, and whatever was behind that door would be gone, dissolved back into the city’s underbelly. And she would be left with another mystery, another door slammed in her face. She took the steps two at a time, her boots slipping on the wet stone. At the threshold, she paused. The door led not to a basement, but to a vast, echoing space. The curved arch of a tunnel, lined with crumbling Victorian brick. An abandoned Tube station. But it was alive. The Veil Market sprawled before her, a vision of feverish commerce set in a cathedral of decay. Stalls fashioned from scrap metal and old train doors lined the platforms. Lanterns burning with unnatural, coloured flames—greens, purples, a deep arterial red—cast jumping shadows. The air hummed with low chatter, bartering in languages that scraped the ear. She saw a woman with scales glittering at her temples selling vials of swirling liquid; a hulking figure in a heavy coat with too many arms hawking what looked like carved bones; a blindfolded child singing a tune that made Quinn’s teeth ache. Her suspect was already thirty yards down the central concourse, weaving through the crowd with the ease of familiarity. Quinn stepped inside. The atmosphere changed instantly. The sound of the rain vanished, replaced by the market’s murmur. The air was warm, thick. Several faces turned towards her. Not curious glances, but assessments. A cold, predatory interest. She was wrong here. She smelled of wet wool, police-issue soap, and the mundane world. Her bearing, her sharp-eyed scrutiny, marked her as a threat. She moved, not with a detective’s cautious stride, but with the same focused purpose she’d used on the street. She kept her right hand free, her left holding her sodden coat closed. Her eyes tracked the hoodie. He was heading for a quieter annex, where the stalls gave way to curtained alcoves. A hand caught her elbow. Quinn spun, her body coiling. “Easy, detective.” The man holding her arm was around thirty, with warm brown eyes and short, curly dark brown hair. Olive skin. He wore a simple sweater, but the sleeves were pushed up, revealing a long, pale scar running along his left forearm. A Saint Christopher medallion gleamed at his throat. “You are lost,” he said, his accent softening the words. Spanish, she guessed. “I’m not.” She tried to pull her arm away. His grip was firm, practised. “Tomás Herrera,” he said, as if that explained everything. It didn’t, to her. “This is not a place for your kind. The things sold here… they are not for your courts. Your laws.” “I’m pursuing a suspect,” Quinn said, her voice low and hard. “He has evidence pertaining to an ongoing investigation.” Tomás’s eyes flickered over her shoulder, towards where her suspect had disappeared. A flicker of recognition, then pity. “That one? He carries dream-salt for the Hounds of King’s Cross. Bad business. But if you follow him there,” he nodded to the dark alcoves, “you will not come back. Not as you are. They will know you the moment you pass the third curtain. They will smell the copper on your hands, the doubt in your blood.” Quinn froze. *Copper on your hands.* A phrase from the Morris case, scrawled in her partner’s notebook next to a symbol that gave her headaches. Her heart hammered against her ribs. This man, this Tomás, knew things. He moved in this world. “Who are you?” she demanded. “A friend to those who need help and cannot go to hospitals,” he said quietly. “I used to be a paramedic. I know what it is to chase a truth that breaks the world you know. Turn back. This truth will break you.” For a second, she almost listened. The sensible choice. The sane choice. Go back up into the rain, the familiar misery of London above. File a report that would go nowhere. Live with the ghost of Morris for another year, another decade. Then she saw it. Across the market, her suspect had paused at the entrance to a final, black-curtained alcove. He turned, looked directly back at her. He couldn’t possibly see her clearly in the chaotic light, but he smiled—a wide, knowing, ghastly smile. He raised the leather satchel in a mocking little wave. Then he parted the curtains and was gone. It was a challenge. It was a confession. Quinn looked back at Tomás Herrera. She saw the resignation in his warm eyes. He had tried. She pulled her arm from his grip, and this time, he let her. “Some truths are worth breaking for,” she said, the words tasting like ashes. She turned her back on the former paramedic and walked into the throat of the market, towards the black curtain. The crowd seemed to part before her, a sea of watching, silent faces. The humid air grew colder with every step. The worn leather of her watch strap felt like the only real thing in the world. She didn’t draw her weapon. Not yet. This wasn’t about force. This was about seeing. This was about what took Morris. She reached the curtain. It was cold to the touch, like living skin chilled by death. From beyond it, she heard a low, rhythmic chanting, and the wet, clicking sound of something being unshelled. Harlow Quinn took one last breath of the market’s rotten-flower air, thought of a sharp jaw set against the rain, and stepped through.
created_at"2026-02-17T09:49:05.180629+00:00" 2/17/2026, 9:49:05 AM
model"deepseek/deepseek-v3.2-20251201"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency8588
moderation_latency(null)
generation_time54297
tokens_prompt914
tokens_completion2483
native_tokens_prompt827
native_tokens_completion2168
native_tokens_completion_images(null)
native_tokens_reasoning218
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"
usage0.00113385
router(null)
provider_responses
0
status429
is_byokfalse
latency77
endpoint_id"4c18a672-9069-469d-9e6b-8af2300fe7b7"
provider_name"Parasail"
model_permaslug"deepseek/deepseek-v3.2-20251201"
1
id"019c6b0007bfcb8cd33a9a5e8e792970"
status200
is_byokfalse
latency8588
endpoint_id"b39a588a-b338-43ba-b046-226b9e24afa8"
provider_name"SiliconFlow"
model_permaslug"deepseek/deepseek-v3.2-20251201"
api_type"completions"
id"gen-1771321689-KkWPuLft6mkd7ouYaLiq"
upstream_id"019c6b0007bfcb8cd33a9a5e8e792970"
total_cost0.00113385
cache_discount(null)
upstream_inference_cost0
provider_name"SiliconFlow"

Evaluation details

Result Evaluator Details Meta Data
94.44% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags9
adverbTagCount1
adverbTags
0"he said quietly [quietly]"
dialogueSentences12
tagDensity0.75
leniency1
rawRatio0.111
effectiveRatio0.111
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1483
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)
49.43% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1483
totalAiIsms15
found
0
word"footfall"
count1
1
word"familiar"
count2
2
word"comforting"
count1
3
word"weight"
count2
4
word"streaming"
count1
5
word"potential"
count1
6
word"echoing"
count1
7
word"hulking"
count1
8
word"flickered"
count1
9
word"flicker"
count1
10
word"chaotic"
count1
11
word"chilled"
count1
12
word"rhythmic"
count1
highlights
0"footfall"
1"familiar"
2"comforting"
3"weight"
4"streaming"
5"potential"
6"echoing"
7"hulking"
8"flickered"
9"flicker"
10"chaotic"
11"chilled"
12"rhythmic"
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
narrationSentences125
matches(empty)
97.14% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount2
narrationSentences125
filterMatches
0"watch"
hedgeMatches
0"tried to"
1"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences128
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen59
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans4
markdownWords7
totalWords1464
ratio0.005
matches
0"him"
1"click"
2"Morris."
3"Copper on your hands."
97.22% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions9
unquotedAttributions1
matches
0"Spanish, she guessed."
97.05% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions37
wordCount1322
uniqueNames18
maxNameDensity1.06
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Soho1
Harlow2
Quinn14
Raven1
Nest1
Deptford1
Victorian1
Tube1
Veil1
Market1
Olive1
Saint1
Christopher1
Spanish1
Tomás3
Morris4
London1
Herrera1
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Saint"
4"Christopher"
5"Tomás"
6"Morris"
7"Herrera"
places
0"Soho"
1"Deptford"
2"London"
globalScore0.97
windowScore1
61.76% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences85
glossingSentenceCount3
matches
0"smelled like that lid being pried open"
1"looked like carved bones; a blindfolded c"
2"felt like the only real thing in the wo"
0.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches7
per1kWords4.781
wordCount1464
matches
0"not with a runner’s frantic grace, but with a brutal, economical purpose"
1"not with the others, but alone, furtive, clutching a small leather satchel to his che"
2"not of a tumbler turning, but of something unlocking"
3"not darkness, but a flickering, sulphurous yellow light"
4"not to a basement, but to a vast, echoing space"
5"Not curious glances, but assessments"
6"not with a detective’s cautious stride, but with the same focused purpose she’d used on the street"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences128
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs32
mean45.75
std27.9
cv0.61
sampleLengths
076
1102
265
382
456
564
61
768
89
963
1052
1198
1219
1362
1452
1510
1664
1714
1833
1919
2076
2142
225
2343
2442
2561
268
2730
2813
2978
3034
3123
80.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount9
totalSentences125
matches
0"being thrown"
1"was planted"
2"was wasted"
3"was plastered"
4"was soaked"
5"being pried"
6"were pushed"
7"was gone"
8"being unshelled"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs217
matches
0"wasn’t falling"
1"was heading"
8.93% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount8
semicolonCount2
flaggedSentences6
totalSentences128
ratio0.047
matches
0"The suspect—a lanky man in a dark hoodie—had bolted from the side door of The Raven’s Nest."
1"He slapped something—a small, pale object—against a rusted panel beside the door."
2"The air wafting up from the doorway smelled of ozone, damp stone, and something else—incense and rotting flowers."
3"Lanterns burning with unnatural, coloured flames—greens, purples, a deep arterial red—cast jumping shadows."
4"She saw a woman with scales glittering at her temples selling vials of swirling liquid; a hulking figure in a heavy coat with too many arms hawking what looked like carved bones; a blindfolded child singing a tune that made Quinn’s teeth ache."
5"He couldn’t possibly see her clearly in the chaotic light, but he smiled—a wide, knowing, ghastly smile."
76.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1340
adjectiveStacks4
stackExamples
0"horizontal, needle-sharp assault"
1"deep arterial red—cast"
2"final, black-curtained alcove."
3"wide, knowing, ghastly smile."
adverbCount28
adverbRatio0.020895522388059702
lyAdverbCount10
lyAdverbRatio0.007462686567164179
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences128
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences128
mean11.44
std8.26
cv0.723
sampleLengths
029
118
229
317
421
517
618
721
88
98
1018
113
124
1315
1417
158
1619
1720
1816
1919
206
2112
2221
2313
244
2516
2616
275
289
2918
301
3114
322
335
3424
358
3615
379
388
393
409
417
4222
4314
4415
455
4613
4711
484
494
44.53% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats18
diversityRatio0.3515625
totalSentences128
uniqueOpeners45
56.02% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences119
matches
0"Then she saw it."
1"Then he parted the curtains"
ratio0.017
78.82% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount42
totalSentences119
matches
0"She’d seen the green neon"
1"She’d seen the sort of"
2"She didn’t shout."
3"Her sharp jaw was set,"
4"She lost him for a"
5"He didn’t fumble with a"
6"He slapped something—a small, pale"
7"Her hand went to her"
8"It would mean the suspect,"
9"She took the steps two"
10"She saw a woman with"
11"Her suspect was already thirty"
12"She was wrong here."
13"She smelled of wet wool,"
14"Her bearing, her sharp-eyed scrutiny,"
15"She moved, not with a"
16"She kept her right hand"
17"Her eyes tracked the hoodie."
18"He was heading for a"
19"He wore a simple sweater,"
ratio0.353
44.03% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount99
totalSentences119
matches
0"The rain wasn’t falling so"
1"Detective Harlow Quinn moved through"
2"Every footfall on the wet"
3"The suspect—a lanky man in"
4"Quinn had been watching the"
5"She’d seen the green neon"
6"She’d seen the sort of"
7"Quinn’s breath came in controlled"
8"She didn’t shout."
9"Shouting was wasted energy."
10"Her sharp jaw was set,"
11"The worn leather strap of"
12"The suspect darted down a"
13"Quinn followed, the sound of"
14"She lost him for a"
15"He didn’t fumble with a"
16"He slapped something—a small, pale"
17"Quinn, from twenty yards away,"
18"The door swung inward, revealing"
19"The suspect vanished inside."
ratio0.832
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences119
matches(empty)
ratio0
80.20% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences57
technicalSentenceCount5
matches
0"The rain wasn’t falling so much as it was being thrown, a horizontal, needle-sharp assault that turned the neon-lit slick of Soho into a smear of colour and sha…"
1"A case file that made no sense, evidence that defied physics, and her partner’s voice, choked and terrified over the radio, gone silent forever."
2"The air hummed with low chatter, bartering in languages that scraped the ear."
3"She saw a woman with scales glittering at her temples selling vials of swirling liquid; a hulking figure in a heavy coat with too many arms hawking what looked …"
4"*Copper on your hands.* A phrase from the Morris case, scrawled in her partner’s notebook next to a symbol that gave her headaches."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags9
uselessAdditionCount3
matches
0"he said, his accent softening the words"
1"he said, as if that explained everything"
2"Quinn said, her voice low and hard"
66.67% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount1
fancyTags
0"she demanded (demand)"
dialogueSentences12
tagDensity0.5
leniency1
rawRatio0.167
effectiveRatio0.167
74.4086%