Run: 2026-05-20-01KS25R93B5Q77NJGXXMJZWWWJ

Run Details

Duration:
12.6s
Cost:
$0.018468
Provider:
Google AI Studio

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 in London did not fall so much as it drifted, a heavy, grease-slicked mist that clung to the streetlamps of Soho and turned the asphalt into a mirror of neon red and cold yellow. Detective Harlow Quinn adjusted the collar of her damp overcoat, her eyes locked on the figure fifty yards ahead. It was Tomás Herrera. She had been tracking the disgraced former paramedic for three weeks, ever since his name had cropped up on a burner phone recovered from a suspected smuggler’s flat in Whitechapel. Herrera moved with a hurried, limping cadence, his dark curly hair plastered to his forehead. He kept his head down, collar turned up against the chill, but he wasn’t running. Not yet. He didn't know she was there. Harlow kept her pace steady, her boots clicking in a rhythm that matched her military precision. She reached down with her gloved left hand, her thumb brushing against the worn leather watch on her wrist. The glass was scratched, a relic of her eighteen years with the Metropolitan Police. It was the same watch she had wore the night she lost her partner, DS Morris, in an alleyway that smelled of ozone and burnt copper—a case that had been closed as an accidental fire, a lie she had spent three years trying to unravel. They passed the distinctive green neon sign of The Raven’s Nest. The glow painted the wet pavement in a sickly, emerald hue. For a second, Harlow thought Herrera might duck inside Silas' bar, but he pushed past the entrance, his boots splashing through a puddle that broke the green reflection into shattered glass. Harlow pressed on. The chase led them North, away from the familiar bustle of Soho and toward the darker, grittier fringes of Camden. The air grew colder, thick with the smell of wet soot and rotting garbage. Herrera pulled his coat tighter around himself. As he crossed beneath a flickering streetlamp, Marlow caught a glimpse of silver catching the light at his throat—the Saint Christopher medallion he always wore, swinging like a pendulum. Under his sleeve, she knew, was the jagged scar from a knife attack, a souvenir from his days patching up people who didn't exist on any official medical registry. Herrera glanced over his shoulder. Harlow didn't duck into a doorway. She didn't freeze. She simply kept walking, her sharp jaw set, her brown eyes locking onto him with the cold promise of an arrest warrant. Herrera’s eyes widened. He knew her face. He knew what she represented. He broke into a dead sprint. "Herrera! Police! Stop!" Harlow’s voice cut through the damp air, sharp and commanding. She surged forward, her boots pounding against the pavement. The damp air burned her lungs, but her training took over, her stride long and deliberate. Herrera turned a sharp corner, his sneakers slipping on the slick cobblestones of an alleyway. By the time Harlow rounded the bend, she saw him disappearing down a set of concrete stairs that led into the mouth of a long-abandoned Tube station. She halted at the top of the stairs. A rusted iron gate hung off its hinges, swaying slightly in the draft that blew up from the depths. Above the archway, the old Transport for London roundel was faded to a ghostly gray, scraped clean of its name. A draft rolled up from the dark, carrying the scent of damp earth, old iron, and something utterly foreign—sweet, cloying, like burnt lavender and copper. It was the same smell she had breathed in three years ago, standing over Morris’s empty, undamaged suit of clothes. Her instinct, honed by nearly two decades of policing, screamed at her to call for backup. But she knew what would happen. The dispatcher would send two local beat officers who would find nothing but an empty, boarded-up platform. Herrera would vanish, and the thread she had spent years pulling would snap. Harlow reached inside her coat, her fingers wrapping around the familiar grip of her baton. She didn’t have a firearm—not on a simple surveillance detail—but she had her wits, her training, and a burning, unresolved grief that acted as a compass. She went down into the dark. The stairs gave way to a tiled pedestrian tunnel, the white ceramic listless and stained with decades of grime. The sounds of the surface world—the distant hiss of traffic, the hum of the city—evaporated, replaced by a heavy, pressurized silence. As she deeper she went, the air grew warmer. A low, rhythmic pulsing vibration thrummed through the soles of her boots. It wasn't the rumble of the Northern Line; it was too irregular, like a collective heartbeat. She turned a corner where the tracks used to run and stopped dead. The tunnel opened into a massive, cavernous junction chamber, but the tracks had been boarded over with thick planks of dark wood. The space was alive. Dozens of makeshift stalls, draped in heavy silks, rough canvas, and hides of questionable origin, lined the old platforms. This was the Veil Market. Lanterns burning with strange, violet and amber flames hung from the arched iron rafters, casting long, twisting shadows. The air was dense with the chatter of hundreds of voices whispering in languages that sounded like scraping slate and rushing water. Figures cloaked in heavy duster coats, their faces hidden beneath wide-brimmed hats or intricate brass masks, drifted between the stalls. On the tables, Harlow saw things that defied the clean, logical world she swore to protect: jars of shimmering, viscous liquids that moved against gravity; dried roots that twitched like severed fingers; and weapons that seemed to absorb the dim light rather than reflect it. She had stepped off the map of London. At the entrance to this subterranean bazaar stood a hulking figure in a heavy leather apron, its face obscured by a veil of black chainmail. To its left, a small iron brazier burned with a pale, cold flame. Just ahead of her, Herrera was frantically digging into his pocket. He pulled out a small, yellowed object—a bone token, carved with intricate, swirling runes. He dropped it into the palm of the veiled gatekeeper. The guard nodded once, a wet, rattling sound escaping from behind the chainmail, and stepped aside, allowing Herrera to slip into the swirling crowd of the market. Harlow took a step forward, but the gatekeeper instantly shifted, blocking her path. The brute didn't speak, but it pointed a thick, scarred finger toward a iron dish beside the brazier. She needed a token. She didn’t have one. Her mind cataloged her options in a fraction of a second. Turn back, lose Herrera, and remain blind to the truth of Morris’s death forever. Or push forward. Harlow stepped closer to the guard, her bearing rigid, channeling every ounce of authority she possessed. She reached into her pocket and pulled out her warrant card, flipping it open. The gold crest of the Metropolitan Police gleamed in the violet lantern light. "Metropolitan Police," Harlow said, her voice steady, echoing slightly in the damp tunnel. "I am pursuing a suspect. Step aside." The gatekeeper didn't flinch. It stared at the leather wallet, then slowly raised its hand, pointing again to the dish, its fingers curling into a fist. A low, guttural growl vibrated in its chest. Around them, several cloaked patrons of the market paused, turning their masked faces toward her. The temperature in the tunnel seemed to drop. Harlow realized with absolute clarity that her badge meant nothing here. The laws she had spent her life upholding were drawing a blank line at the edge of this subterranean threshold. If she wanted to find the truth, she would have to play by the rules of the dark. She pocketed her badge. Her eyes fell to her left wrist. The worn leather watch. It was a mechanical piece, Swiss made, given to her by Morris on the anniversary of their fifth year as partners. It was the last physical link she had to the man who had been her anchor. With slow, deliberate movements, Harlow unbuckled the strap. The leather was soft, molded to the shape of her wrist over years of service. She held it out, the glass catching the amber glow of a nearby lantern. The gatekeeper leaned in, its chainmail veil clinking. It reached out with a dirt-encrusted hand, picking up the watch. It held the casing to its ear, listening to the steady, mechanical tick-tick-tick of the gears inside. A rare piece of mortal precision in a place ruled by chaos. The guard dropped the watch into the iron dish. It made a heavy, metallic clang. The brute stepped aside, gesturing toward the teeming, shadowy expanse of the Veil Market. Harlow didn't look back at the watch. She tightened her grip on her baton, took a deep breath of the copper-scented air, and stepped over the threshold into the dark.
created_at"2026-05-20T07:49:10.002Z" 5/20/2026, 7:49:10 AM
model"google/gemini-3.5-flash-20260519"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency775
moderation_latency(null)
generation_time12236
tokens_prompt914
tokens_completion2254
native_tokens_prompt852
native_tokens_completion1910
native_tokens_completion_images0
native_tokens_reasoning0
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"standard"
usage0.018468
router(null)
provider_responses
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endpoint_id"bd50061c-e1d8-469e-96b1-d322e77378f8"
id"dmcNasWUD5XqjrEPpYv8qAU"
is_byokfalse
latency775
model_permaslug"google/gemini-3.5-flash-20260519"
provider_name"Google AI Studio"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.15.0; linux; x64))"
http_referer(null)
request_id"req-1779263350-8xyFKBzgKAKbIuosaG6N"
session_id(null)
api_type"completions"
id"gen-1779263350-6IVsp4QkVuHqvAvJKxZy"
upstream_id"dmcNasWUD5XqjrEPpYv8qAU"
total_cost0.018468
cache_discount(null)
upstream_inference_cost0
provider_name"Google AI Studio"
response_cache_source_id(null)

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
86.61% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1494
totalAiIsmAdverbs4
found
0
adverb"slightly"
count2
1
adverb"utterly"
count1
2
adverb"slowly"
count1
highlights
0"slightly"
1"utterly"
2"slowly"
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)
43.11% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1494
totalAiIsms17
found
0
word"chill"
count1
1
word"unravel"
count1
2
word"shattered"
count1
3
word"familiar"
count2
4
word"pounding"
count1
5
word"depths"
count1
6
word"silence"
count1
7
word"rhythmic"
count1
8
word"intricate"
count2
9
word"hulking"
count1
10
word"cataloged"
count1
11
word"echoing"
count1
12
word"vibrated"
count1
13
word"mechanical"
count2
highlights
0"chill"
1"unravel"
2"shattered"
3"familiar"
4"pounding"
5"depths"
6"silence"
7"rhythmic"
8"intricate"
9"hulking"
10"cataloged"
11"echoing"
12"vibrated"
13"mechanical"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes widened"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences103
matches(empty)
87.38% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount2
narrationSentences103
filterMatches
0"watch"
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
maxSentenceWordsSeen46
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1486
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions58
wordCount1452
uniqueNames24
maxNameDensity1.03
worstName"Harlow"
maxWindowNameDensity2.5
worstWindowName"Herrera"
discoveredNames
London3
Soho2
Harlow15
Quinn1
Tomás1
Herrera11
Whitechapel1
Metropolitan2
Police2
Morris4
Raven1
Nest1
North1
Camden1
Marlow1
Saint1
Christopher1
Tube1
Transport1
Northern1
Line1
Veil2
Market2
Swiss1
persons
0"Harlow"
1"Quinn"
2"Tomás"
3"Herrera"
4"Police"
5"Morris"
6"Raven"
7"Marlow"
8"Saint"
9"Christopher"
10"Veil"
11"Market"
12"Swiss"
places
0"London"
1"Soho"
2"Whitechapel"
globalScore0.983
windowScore0.833
92.53% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences87
glossingSentenceCount2
matches
0"sounded like scraping slate and rushing wa"
1"weapons that seemed to absorb the dim light rather than reflect it"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1486
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
totalParagraphs38
mean39.11
std27.33
cv0.699
sampleLengths
055
134
2132
353
4102
55
631
712
86
913
1067
1147
1245
1352
1441
156
1640
1737
1813
1968
2087
218
2238
2362
2431
258
2628
2743
2820
2957
3049
3111
3241
3337
3448
3515
3614
3730
91.64% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences103
matches
0"was scratched"
1"been closed"
2"was faded"
3"been boarded"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs237
matches
0"wasn’t running"
1"was frantically digging"
2"were drawing"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount8
semicolonCount3
flaggedSentences8
totalSentences104
ratio0.077
matches
0"It was the same watch she had wore the night she lost her partner, DS Morris, in an alleyway that smelled of ozone and burnt copper—a case that had been closed as an accidental fire, a lie she had spent three years trying to unravel."
1"As he crossed beneath a flickering streetlamp, Marlow caught a glimpse of silver catching the light at his throat—the Saint Christopher medallion he always wore, swinging like a pendulum."
2"A draft rolled up from the dark, carrying the scent of damp earth, old iron, and something utterly foreign—sweet, cloying, like burnt lavender and copper."
3"She didn’t have a firearm—not on a simple surveillance detail—but she had her wits, her training, and a burning, unresolved grief that acted as a compass."
4"The sounds of the surface world—the distant hiss of traffic, the hum of the city—evaporated, replaced by a heavy, pressurized silence."
5"It wasn't the rumble of the Northern Line; it was too irregular, like a collective heartbeat."
6"On the tables, Harlow saw things that defied the clean, logical world she swore to protect: jars of shimmering, viscous liquids that moved against gravity; dried roots that twitched like severed fingers; and weapons that seemed to absorb the dim light rather than reflect it."
7"He pulled out a small, yellowed object—a bone token, carved with intricate, swirling runes."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount260
adjectiveStacks1
stackExamples
0"heavy, grease-slicked mist"
adverbCount2
adverbRatio0.007692307692307693
lyAdverbCount2
lyAdverbRatio0.007692307692307693
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
mean14.29
std8.54
cv0.597
sampleLengths
036
119
24
330
415
515
62
76
816
919
1014
1145
1211
1311
1431
153
1620
1714
187
1929
2029
215
226
233
2422
253
264
275
286
2913
309
3116
3215
3327
348
3519
3620
3725
3820
3916
406
4117
4213
4315
4426
456
4619
4721
489
4912
40.71% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats11
diversityRatio0.3076923076923077
totalSentences104
uniqueOpeners32
32.68% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences102
matches
0"Just ahead of her, Herrera"
ratio0.01
74.90% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount37
totalSentences102
matches
0"It was Tomás Herrera."
1"She had been tracking the"
2"He kept his head down,"
3"He didn't know she was"
4"She reached down with her"
5"It was the same watch"
6"They passed the distinctive green"
7"She didn't freeze."
8"She simply kept walking, her"
9"He knew her face."
10"He knew what she represented."
11"He broke into a dead"
12"She surged forward, her boots"
13"She halted at the top"
14"It was the same smell"
15"Her instinct, honed by nearly"
16"She didn’t have a firearm—not"
17"She went down into the"
18"It wasn't the rumble of"
19"She turned a corner where"
ratio0.363
38.43% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount86
totalSentences102
matches
0"The rain in London did"
1"Detective Harlow Quinn adjusted the"
2"It was Tomás Herrera."
3"She had been tracking the"
4"Herrera moved with a hurried,"
5"He kept his head down,"
6"He didn't know she was"
7"Harlow kept her pace steady,"
8"She reached down with her"
9"The glass was scratched, a"
10"It was the same watch"
11"They passed the distinctive green"
12"The glow painted the wet"
13"Harlow pressed on."
14"The chase led them North,"
15"The air grew colder, thick"
16"Herrera pulled his coat tighter"
17"Herrera glanced over his shoulder."
18"Harlow didn't duck into a"
19"She didn't freeze."
ratio0.843
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount3
totalSentences102
matches
0"By the time Harlow rounded"
1"To its left, a small"
2"If she wanted to find"
ratio0.029
45.45% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences66
technicalSentenceCount9
matches
0"The rain in London did not fall so much as it drifted, a heavy, grease-slicked mist that clung to the streetlamps of Soho and turned the asphalt into a mirror o…"
1"Harlow kept her pace steady, her boots clicking in a rhythm that matched her military precision."
2"It was the same watch she had wore the night she lost her partner, DS Morris, in an alleyway that smelled of ozone and burnt copper—a case that had been closed …"
3"Under his sleeve, she knew, was the jagged scar from a knife attack, a souvenir from his days patching up people who didn't exist on any official medical regist…"
4"By the time Harlow rounded the bend, she saw him disappearing down a set of concrete stairs that led into the mouth of a long-abandoned Tube station."
5"The dispatcher would send two local beat officers who would find nothing but an empty, boarded-up platform."
6"She didn’t have a firearm—not on a simple surveillance detail—but she had her wits, her training, and a burning, unresolved grief that acted as a compass."
7"On the tables, Harlow saw things that defied the clean, logical world she swore to protect: jars of shimmering, viscous liquids that moved against gravity; drie…"
8"It held the casing to its ear, listening to the steady, mechanical tick-tick-tick of the gears inside."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount1
matches
0"Harlow said, her voice steady, echoing slightly in the damp tunnel"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences3
tagDensity0.333
leniency0.667
rawRatio0
effectiveRatio0
80.3590%