Run: 2026-09-03-01M1KAYNR5N8090A4NM8Z59EWG

Run Details

Duration:
52.6s
Cost:
$0.009520
Provider:
StreamLake

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 came down in sheets that turned the sodium streetlights into smeared gold across the asphalt. Detective Harlow Quinn pressed her back against the wet brick of a shuttered newsagent and counted to three before risking a look around the corner. Her breath fogged the air in short, controlled bursts. The leather watch on her left wrist was soaked through, the strap chafing against her skin, but she didn’t adjust it. Her hands stayed loose at her sides, ready. The suspect was thirty metres ahead, moving with that hunched, urgent stride she’d come to recognize in men who believed they were about to disappear. He wore a dark anorak with the hood up, but she’d already memorized the shape of his shoulders, the way his left foot turned outward when he ran. He’d bolted from the back door of The Raven’s Nest fifteen minutes earlier, knocking over a stack of empty crates and leaving a trail of shattered glass and stale beer in the alley behind the Soho bar. Harlow had been waiting in a doorway across the street, watching the green neon sign flicker over the entrance, when he’d emerged with a package the size of a shoebox pressed under one arm. She hadn’t expected him to run. But when he did, her body responded before her mind caught up—eighteen years of service on wet London streets had wired her legs to chase. Now he glanced back once, and even from this distance she saw the flash of his eyes, wide and animal, before he ducked into a narrow lane to the east. Harlow pushed off the wall and followed. Her boots slapped through puddles that swallowed the reflections of tenement windows. The rain hammered the awnings above her, drummed on the lids of industrial bins. She kept to the balls of her feet, her strides measured, conserving energy. The suspect was younger, faster, but he didn’t know these streets the way she did—or if he did, he was too panicked to use them well. He skidded at the mouth of the lane, nearly went down on a slick grate, and corrected with a hand against the wall. “Police!” she shouted, though the word came out ragged against the downpour. “Stop where you are!” He didn’t stop. He veered left onto a broader road, past a shuttered kebab shop and a man huddled under an umbrella who flattened himself against a doorway as they thundered by. The suspect cut through a gap in the iron railing and down a set of steps that led to a pedestrian underpass. Harlow followed without breaking stride. The air changed below ground—thicker, colder, smelling of damp concrete and old urine. Her footsteps echoed off the tiled walls as she emerged into a long tunnel lit by flickering fluorescent tubes. Half the lights were dead. The suspect’s silhouette flickered ahead, then disappeared around a bend. She didn’t slow. The tunnel opened into a disused Tube station entrance she had passed a hundred times but never entered: a tiled archway sealed with rusted metal shutters, one of which had been pried open just wide enough for a body to slip through. The suspect was already gone, swallowed by the dark gap. Harlow stood for a second with her hands on the cold metal, feeling the vibration of the city above through the soles of her boots. A green glow pulsed from somewhere deep inside. Not electric—too soft, too alive. It reminded her of the glow from the bottom of a swimming pool at night, except there was no water here, only the black mouth of an abandoned station. Her jaw tightened. That same green light had been in the photographs on the evidence board back at the station, the ones no one else wanted to look at. The ones she’d put up herself after Morris died. She pulled out her phone. No signal. The rain had stopped bleeding through the open shutter, but water still dripped from her hair onto the screen. She wiped it with her thumb and saw only the dead battery icon, a sliver of red at the bottom. Of course. For a long moment, she stood at the threshold, listening. The suspect’s footsteps had faded, but there were other sounds now—a low murmur like a crowded room heard through a wall, the clink of metal on metal, a bass note that might have been music or might have been something breathing. The air smelled of wet earth and charred lavender. She thought of Morris. Three years ago, he’d stood at a doorway just like this, radio in hand, one foot already inside. She’d told him to wait for backup. He’d smiled that tired smile and said, “Quinn, if we wait, we lose them.” Then he’d gone into the dark, and the dark had kept him. Harlow shifted her weight. The rain had soaked through her jacket to the shirt beneath, and a shiver she refused to acknowledge ran down her spine. She could wait. Call for backup on a working phone, get a tactical unit down here, do this by the book. But the suspect knew where he was going. He had used a bone token—she’d seen him fish it from his pocket, a small carved disk that glinted white even in the dark. He had access. If she waited, he would vanish into whatever this place was. The thought made her teeth ache. She stepped through the gap. The metal scraped her shoulder as she squeezed past, and for a moment she was blind, her breath loud in the confined space. Then her eyes adjusted. A long stairway descended into darkness, the steps worn smooth in the middle, the walls covered with old tile work gone green with moss. At the bottom, another light pulsed, stronger now, casting shadows that moved like water. Her hand went to her hip, but she wasn’t carrying. Not tonight. She’d left the station without her sidearm because this was supposed to be surveillance, not confrontation. A mistake. One Morris would have scolded her for. She made a fist and kept moving. The stairs ended in a wide archway, and beyond it the world opened up. The Veil Market stretched through the abandoned Tube platform like a wound that had never healed. Stalls of blackened wood and tattered tarps crowded both sides of the long space, their surfaces cluttered with jars of suspended things, bundles of dried herbs that glowed faintly at the edges, iron implements that twisted in shapes her brain refused to hold. The green light came from lanterns hung from the curved ceiling, each one filled with a liquid that shifted and swirled on its own. The floor was still tiled with the old London Underground mosaic, but veins of something dark and glistening ran through the cracks like spilled ink. Vendors turned to look at her as she entered. Some had eyes that caught the light wrong. Others had too many teeth when they smiled. A woman with long silver hair and no feet drifted past on a carpet of smoke, trailing the smell of burnt sugar and wet dog. Harlow pressed her back to the archway and scanned the crowd for the suspect. He was thirty metres ahead, shoving through a knot of robed figures near a stall that sold what looked like human finger bones strung on leather cords. He still had the shoebox under his arm. He glanced back once, saw her standing there, and the panic in his face turned to something sharper—calculation. He knew she was out of her depth. For a heartbeat, Harlow did too. Then she saw it: a familiar face in the crowd, half-hidden behind a stall draped with black silk. Tomás Herrera, the disgraced paramedic, the one who’d stitched up half the underworld without ever asking for a name. He was leaning against a wooden pillar, arms crossed, a Saint Christopher medallion glinting at his throat. Their eyes met across the market floor. He didn’t look surprised to see her. He looked tired. The suspect ducked behind a tall rack of enchanted mirrors, and Harlow lost sight of him. She could still turn back. The archway was right there behind her, the stairs leading up to the rain and the city she knew. She could climb them, find a signal, call for help, and let someone else chase shadows. But help would come too late. The market moved every full moon, she remembered from the case files—the files no one believed. If she left now, she would never find this place again. Harlow took a step forward. The veiled vendors parted for her like water around a stone, their whispers a low current at the edge of her hearing. Her boots left wet prints on the mosaic floor. She didn’t look back at the archway. She didn’t let herself think about Morris, or about the bone token she didn’t have, or about the way the lanterns seemed to brighten as she passed, as if the market itself had noticed her arrival. She kept her eyes on the mirror stall where the suspect had disappeared, and she walked into the green dark like she belonged there.
created_at"2026-09-03T09:52:42.259Z" 9/3/2026, 9:52:42 AM
model"deepseek/deepseek-v4-pro-20260813"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1407
moderation_latency(null)
generation_time52562
tokens_prompt888
tokens_completion2952
native_tokens_prompt906
native_tokens_completion2543
native_tokens_completion_images(null)
native_tokens_reasoning631
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
service_tier(null)
usage0.009519939
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788429162-4bVlv9u5LoXuQAEaByIn"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788429162-d3g9q83wQ4JDkzyXMScm"
upstream_id"req-bxc0u1-1788429162472336005"
provider_responses
0
endpoint_id"072c1c23-c069-4242-bb6d-1b30ca5f4eb8"
id"req-bxc0u1-1788429162472336005"
is_byokfalse
latency1407
model_permaslug"deepseek/deepseek-v4-pro-20260813"
provider_name"StreamLake"
status200
total_cost0.009519939
cache_discount(null)
upstream_inference_cost0
provider_name"StreamLake"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags2
adverbTagCount0
adverbTags(empty)
dialogueSentences3
tagDensity0.667
leniency1
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1542
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)
35.15% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1542
totalAiIsms20
found
0
word"shattered"
count1
1
word"flicker"
count1
2
word"measured"
count1
3
word"thundered"
count1
4
word"footsteps"
count2
5
word"echoed"
count1
6
word"flickered"
count1
7
word"pulsed"
count2
8
word"electric"
count1
9
word"weight"
count1
10
word"down her spine"
count1
11
word"mosaic"
count2
12
word"glistening"
count1
13
word"scanned"
count1
14
word"familiar"
count1
15
word"silk"
count1
16
word"glinting"
count1
highlights
0"shattered"
1"flicker"
2"measured"
3"thundered"
4"footsteps"
5"echoed"
6"flickered"
7"pulsed"
8"electric"
9"weight"
10"down her spine"
11"mosaic"
12"glistening"
13"scanned"
14"familiar"
15"silk"
16"glinting"
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
narrationSentences103
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences103
filterMatches
0"watch"
1"think"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences104
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen43
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1534
ratio0
matches(empty)
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
totalMentions28
wordCount1522
uniqueNames14
maxNameDensity0.66
worstName"Harlow"
maxWindowNameDensity1.5
worstWindowName"Harlow"
discoveredNames
Harlow10
Quinn1
Raven1
Nest1
Soho1
London2
Tube2
Morris4
Veil1
Market1
Underground1
Herrera1
Saint1
Christopher1
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Morris"
4"Market"
5"Herrera"
6"Saint"
7"Christopher"
places
0"Soho"
1"London"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences83
glossingSentenceCount1
matches
0"looked like human finger bones strung on"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1534
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences104
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs30
mean51.13
std30.43
cv0.595
sampleLengths
080
1124
231
337
488
516
659
747
83
977
1042
1138
1248
1360
1455
1582
1617
175
1865
1944
2014
21108
2264
2361
246
2571
2616
2773
2879
2924
98.45% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences103
matches
0"been pried"
1"was supposed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs258
matches
0"was going"
1"wasn’t carrying"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount8
semicolonCount0
flaggedSentences8
totalSentences104
ratio0.077
matches
0"But when he did, her body responded before her mind caught up—eighteen years of service on wet London streets had wired her legs to chase."
1"The suspect was younger, faster, but he didn’t know these streets the way she did—or if he did, he was too panicked to use them well."
2"The air changed below ground—thicker, colder, smelling of damp concrete and old urine."
3"Not electric—too soft, too alive."
4"The suspect’s footsteps had faded, but there were other sounds now—a low murmur like a crowded room heard through a wall, the clink of metal on metal, a bass note that might have been music or might have been something breathing."
5"He had used a bone token—she’d seen him fish it from his pocket, a small carved disk that glinted white even in the dark."
6"He glanced back once, saw her standing there, and the panic in his face turned to something sharper—calculation."
7"The market moved every full moon, she remembered from the case files—the files no one believed."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1531
adjectiveStacks0
stackExamples(empty)
adverbCount38
adverbRatio0.024820378837361202
lyAdverbCount4
lyAdverbRatio0.002612671456564337
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences104
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences104
mean14.75
std9.96
cv0.675
sampleLengths
017
125
29
321
48
525
628
737
834
96
1025
1130
127
1312
1414
1513
1626
1723
1812
194
203
2129
2222
235
2413
2519
265
2710
283
2942
3010
3125
328
335
3429
353
3626
379
385
392
4019
4120
422
4310
4441
459
464
4718
487
4926
37.50% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats13
diversityRatio0.28846153846153844
totalSentences104
uniqueOpeners30
67.34% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences99
matches
0"Then her eyes adjusted."
1"Then she saw it: a"
ratio0.02
54.34% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount41
totalSentences99
matches
0"Her breath fogged the air"
1"Her hands stayed loose at"
2"He wore a dark anorak"
3"He’d bolted from the back"
4"She hadn’t expected him to"
5"Her boots slapped through puddles"
6"She kept to the balls"
7"He skidded at the mouth"
8"she shouted, though the word"
9"He didn’t stop."
10"He veered left onto a"
11"Her footsteps echoed off the"
12"She didn’t slow."
13"It reminded her of the"
14"Her jaw tightened."
15"She pulled out her phone."
16"She wiped it with her"
17"She thought of Morris."
18"She’d told him to wait"
19"He’d smiled that tired smile"
ratio0.414
40.81% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount83
totalSentences99
matches
0"The rain came down in"
1"Detective Harlow Quinn pressed her"
2"Her breath fogged the air"
3"The leather watch on her"
4"Her hands stayed loose at"
5"The suspect was thirty metres"
6"He wore a dark anorak"
7"He’d bolted from the back"
8"Harlow had been waiting in"
9"She hadn’t expected him to"
10"Harlow pushed off the wall"
11"Her boots slapped through puddles"
12"The rain hammered the awnings"
13"She kept to the balls"
14"The suspect was younger, faster,"
15"He skidded at the mouth"
16"she shouted, though the word"
17"He didn’t stop."
18"He veered left onto a"
19"The suspect cut through a"
ratio0.838
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount3
totalSentences99
matches
0"Now he glanced back once,"
1"If she waited, he would"
2"If she left now, she"
ratio0.03
56.65% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences58
technicalSentenceCount7
matches
0"The suspect was thirty metres ahead, moving with that hunched, urgent stride she’d come to recognize in men who believed they were about to disappear."
1"Her boots slapped through puddles that swallowed the reflections of tenement windows."
2"He veered left onto a broader road, past a shuttered kebab shop and a man huddled under an umbrella who flattened himself against a doorway as they thundered by…"
3"The suspect cut through a gap in the iron railing and down a set of steps that led to a pedestrian underpass."
4"The suspect’s footsteps had faded, but there were other sounds now—a low murmur like a crowded room heard through a wall, the clink of metal on metal, a bass no…"
5"Stalls of blackened wood and tattered tarps crowded both sides of the long space, their surfaces cluttered with jars of suspended things, bundles of dried herbs…"
6"He was thirty metres ahead, shoving through a knot of robed figures near a stall that sold what looked like human finger bones strung on leather cords."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount1
matches
0"she shouted, though the word came out ragged against the downpour"
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount2
fancyTags
0"she shouted (shout)"
1"He’d (would)"
dialogueSentences3
tagDensity0.667
leniency1
rawRatio1
effectiveRatio1
79.6747%