Run: 2026-09-03-01M1KCP146STF1K8CJMMQYGD1K

Run Details

Duration:
1m 48s
Cost:
$0.020452
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 had been falling for three hours by the time Tomás Herrera pushed through the doors of The Raven’s Nest. Harlow Quinn stood across the street beneath a shuttered tobacconist’s awning, water threading through a gap and down the back of her collar. She didn’t move. She’d learned long ago that the body could outlast discomfort if the mind stayed quiet. The green neon of the Nest’s sign buzzed against the wet dark, turning puddles the color of absinthe. Herrera paused on the threshold, scanning the street. Harlow shifted her weight behind a pillar. His eyes were warm brown but cagey tonight; he wore a denim jacket soaked instantly, and the chain of a Saint Christopher medallion glinted at his throat. The interior of the bar swung past behind him, dim and close, walls papered with old maps and black-and-white photographs, before the door shut. He turned left, heading toward Greek Street with the quick, unpleasant walk of a man who knew he was being watched. Harlow waited seven seconds, then followed. The street ran with water. Taxis threw sheets of spray across the kerb. Her leather boots were old but good; she moved with military precision, arms loose, breathing through her nose even as the rain hammered. Herrera crossed Old Compton Street against the light. A cyclist swore. Harlow cut between a black cab and a delivery van, saw Herrera glance back once—a flash of recognition, fear. He ran. “Police! Stop!” She said it more as a reflex than a request. He didn’t stop. He bolted up a narrow alley between a noodle bar and a shuttered bookmaker’s. Harlow took the corner hard, sole slipping on wet cobbles, caught herself with a hand against greasy brick. Herrera was faster than she’d expected, but not fast enough. The alley smelled of rotting vegetables and wet cardboard. Bags were heaped against rusty bins. She vaulted a fallen crate and felt a sharp pull in her left calf, ignored it. The salt-and-pepper crop of her hair was plastered to her skull. Her leather watch strap was soaked, the second hand still ticking against her wrist as she pumped her arms. He cut left into a broader mews. The rain lightened to a fine, needling mist, and in the sudden quiet she heard both their breathing, ragged. Herrera threw himself against a green metal door recessed into a brick wall at the end of the mews. It looked locked, painted over, forgotten. But it gave with a shriek of old hinges. His sleeve caught on the frame and rode up, revealing a pale scar along his left forearm before he vanished inside. Harlow’s hand went to her hip, but the door was already slamming shut. She reached it just in time, caught the edge, hissed as the metal bit her palm, and wrenched it open. A stairwell dropped into darkness. The smell hit her first: wet stone, copper, and a faint sweetness like incense gone stale. She pulled a small torch from her belt, flicked it on. The beam caught tile work, old advertisements for cigarettes and Zam-Buk balm still papered to the walls. London Underground, decades closed. The effect was disorienting. She’d walked this mews a hundred times. There was no Tube entrance on any map. Herrera’s footsteps echoed below, fast and frightened. Harlow started down. The stairs were steep, the handrail slick with condensation. Water dripped somewhere in the black, each droplet a small bell. She kept the torch low, scanning for tripwires, uneven steps. She could still hear him, maybe two flights down. The stairwell bottomed out into a wider passage—old service tunnel, arched and tiled, with puddles that reflected her light like broken mirrors. The walls were sweating. At intervals, bare bulbs hung from black cables, some flickering. Far ahead, a greenish glow. She followed the sound. Her pulse was a steady drum, not panic. She’d cleared rooms with worse odds. But this was different: she could not map it, could not call for backup, and the air felt wrong in a way she couldn’t name. DS Morris’s face surfaced unbidden—not the memorial photo, but the last one, eyes open and not seeing. She pushed it down. The tunnel opened into a broader platform, punched out of old tile. Harlow stopped. A sign hung from the curved ceiling by chains: CAMDEN, in faded enamel. But the platform wasn’t abandoned. Stalls crowded along the tracks, lit by lanterns and strings of bare bulbs. Tarot tables, stacks of books, cages holding things that were not birds. Vendors sat under umbrellas despite no rain. A low murmur rose like a tide. Tomás Herrera stood at a temporary gate across the platform, a velvet rope hanging between two brass posts. A gaunt man in a high-collared coat blocked his way. Harlow saw Herrera fumble at his neck, not the medallion—something else. He produced a small white disc, carved from bone, and pressed it into the man’s palm. The gatekeeper held it up to a lantern, then nodded. The rope dropped. Herrera slipped into the market, casting one frantic glance back. Their eyes met for half a second before he disappeared between stalls. Harlow reached the gate. The gaunt man extended a hand, palm up. “Token.” She had no token. Rainwater ran from her jacket onto the platform. The market rustled and glowed beyond him—not a normal black market. She saw a jar of teeth on one table, a candle that burned green on another. The air tasted like tin. Her radio crackled only static. “Police,” she repeated, her voice even, as though the word still held power here. “I’m pursuing a suspect.” The gaunt man smiled, showing too many teeth. “No token, no passage. Those are the bones.” Harlow looked past him. Herrera was maybe thirty metres in, moving with less fear now, winding toward a stall draped in red silk. She could lose him if she waited. She could walk away, come back with a warrant, though she suspected warrants meant nothing down here. She could call for backup, but her radio was dead and she wasn’t certain any officer would follow her down that stairwell. Her fingers brushed the sharp line of her jaw, a habit when she was thinking. The rain had chilled her. Her watch ticked against her wrist. She thought of the dead ends, the three years of not knowing, the partners who ended up in the ground when they got too close to cases that didn’t obey physics. She thought of Morris. She’d promised herself she would not hesitate again. The gatekeeper’s hand remained open. Harlow Quinn unbuttoned her sodden coat, letting it fall open so the badge on her belt was visible, for all the good it would do. She met the man’s gaze. “Step aside.” He didn’t. She didn’t expect him to. She took a breath, coiled her weight, and drove her shoulder into the velvet rope. It snapped. The gaunt man made a sound—not angry, almost amused—but he didn’t stop her. The market swallowed her instantly: heat, smoke, voices in languages she half-recognized, the smell of burned sugar and old blood. Somewhere ahead, a Saint Christopher medallion caught the lantern light and vanished around a corner. Harlow Quinn followed.
created_at"2026-09-03T10:22:56.147Z" 9/3/2026, 10:22:56 AM
model"deepseek/deepseek-v4-pro-20260813"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1472
moderation_latency(null)
generation_time107764
tokens_prompt888
tokens_completion6672
native_tokens_prompt906
native_tokens_completion5810
native_tokens_completion_images(null)
native_tokens_reasoning4201
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)
usage0.020451974
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788430976-2x16adgS6W4pxPQj9vo0"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788430976-sDUEH1o6AZGqvTfYLq2H"
upstream_id"req-74b5tl-1788430976301602184"
provider_responses
0
endpoint_id"072c1c23-c069-4242-bb6d-1b30ca5f4eb8"
id"req-74b5tl-1788430976301602184"
is_byokfalse
latency1472
model_permaslug"deepseek/deepseek-v4-pro-20260813"
provider_name"StreamLake"
status200
total_cost0.020451974
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)
dialogueSentences6
tagDensity0.333
leniency0.667
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1213
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)
50.54% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1213
totalAiIsms12
found
0
word"scanning"
count2
1
word"weight"
count2
2
word"flicked"
count1
3
word"footsteps"
count1
4
word"echoed"
count1
5
word"pulse"
count1
6
word"velvet"
count2
7
word"silk"
count1
8
word"chilled"
count1
highlights
0"scanning"
1"weight"
2"flicked"
3"footsteps"
4"echoed"
5"pulse"
6"velvet"
7"silk"
8"chilled"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"flicker of emotion"
count1
highlights
0"a flash of recognition"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences108
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences108
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences112
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen31
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1206
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions6
unquotedAttributions0
matches(empty)
95.29% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions46
wordCount1188
uniqueNames16
maxNameDensity1.09
worstName"Harlow"
maxWindowNameDensity2
worstWindowName"Herrera"
discoveredNames
Tomás2
Herrera11
Raven1
Nest2
Quinn3
Saint2
Christopher2
Greek1
Street2
Old1
Compton1
Zam-Buk1
Underground1
Tube1
Morris2
Harlow13
persons
0"Tomás"
1"Herrera"
2"Raven"
3"Nest"
4"Quinn"
5"Saint"
6"Christopher"
7"Morris"
8"Harlow"
places
0"Greek"
1"Street"
2"Old"
3"Compton"
globalScore0.953
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences79
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.829
wordCount1206
matches
0"not the memorial photo, but the last one, eyes open"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences112
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs30
mean40.2
std31.77
cv0.79
sampleLengths
062
184
221
36
466
52
615
7103
826
988
1072
117
1242
1341
1464
1571
1690
1712
181
1949
2018
2116
2269
2369
245
2530
262
277
2865
293
95.52% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences108
matches
0"were heaped"
1"was plastered"
2"was soaked"
42.02% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount5
totalVerbs211
matches
0"was being"
1"was already slamming"
2"was disorienting"
3"were sweating"
4"was thinking"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount7
semicolonCount2
flaggedSentences8
totalSentences112
ratio0.071
matches
0"His eyes were warm brown but cagey tonight; he wore a denim jacket soaked instantly, and the chain of a Saint Christopher medallion glinted at his throat."
1"Her leather boots were old but good; she moved with military precision, arms loose, breathing through her nose even as the rain hammered."
2"Harlow cut between a black cab and a delivery van, saw Herrera glance back once—a flash of recognition, fear."
3"The stairwell bottomed out into a wider passage—old service tunnel, arched and tiled, with puddles that reflected her light like broken mirrors."
4"DS Morris’s face surfaced unbidden—not the memorial photo, but the last one, eyes open and not seeing."
5"Harlow saw Herrera fumble at his neck, not the medallion—something else."
6"The market rustled and glowed beyond him—not a normal black market."
7"The gaunt man made a sound—not angry, almost amused—but he didn’t stop her."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1202
adjectiveStacks0
stackExamples(empty)
adverbCount29
adverbRatio0.024126455906821963
lyAdverbCount3
lyAdverbRatio0.0024958402662229617
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences112
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences112
mean10.77
std6.73
cv0.625
sampleLengths
021
123
23
315
418
58
67
727
824
921
106
115
128
1323
148
153
1619
172
1812
193
2014
2118
2210
239
246
2516
2611
2719
287
2919
3019
316
329
3321
3413
3520
365
3716
3811
3917
404
414
427
438
447
453
469
4711
4810
499
40.18% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats11
diversityRatio0.26785714285714285
totalSentences112
uniqueOpeners30
32.05% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences104
matches
0"Somewhere ahead, a Saint Christopher"
ratio0.01
70.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount39
totalSentences104
matches
0"She didn’t move."
1"She’d learned long ago that"
2"His eyes were warm brown"
3"He turned left, heading toward"
4"Her leather boots were old"
5"She said it more as"
6"He didn’t stop."
7"He bolted up a narrow"
8"She vaulted a fallen crate"
9"Her leather watch strap was"
10"He cut left into a"
11"It looked locked, painted over,"
12"His sleeve caught on the"
13"She reached it just in"
14"She pulled a small torch"
15"She’d walked this mews a"
16"She kept the torch low,"
17"She could still hear him,"
18"She followed the sound."
19"Her pulse was a steady"
ratio0.375
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount97
totalSentences104
matches
0"The rain had been falling"
1"Harlow Quinn stood across the"
2"She didn’t move."
3"She’d learned long ago that"
4"The green neon of the"
5"Herrera paused on the threshold,"
6"Harlow shifted her weight behind"
7"His eyes were warm brown"
8"The interior of the bar"
9"He turned left, heading toward"
10"Harlow waited seven seconds, then"
11"The street ran with water."
12"Taxis threw sheets of spray"
13"Her leather boots were old"
14"Herrera crossed Old Compton Street"
15"A cyclist swore."
16"Harlow cut between a black"
17"She said it more as"
18"He didn’t stop."
19"He bolted up a narrow"
ratio0.933
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences104
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences52
technicalSentenceCount2
matches
0"He turned left, heading toward Greek Street with the quick, unpleasant walk of a man who knew he was being watched."
1"The stairwell bottomed out into a wider passage—old service tunnel, arched and tiled, with puddles that reflected her light like broken mirrors."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount0
matches(empty)
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount1
fancyTags
0"she repeated (repeat)"
dialogueSentences6
tagDensity0.333
leniency0.667
rawRatio0.5
effectiveRatio0.333
77.5197%