Run: 2026-02-19-01KHVPRHEFRMP08S71KNQZ7745

Run Details

Duration:
1m 27s
Cost:
$0.064284
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
Rain hammered the Camden pavement, relentless and freezing, washing the grime of the city into the gutters. Detective Harlow Quinn stood in the deep shadow of a closed butcher shop, letting the deluge soak her dark wool coat. Water dripped from her closely cropped salt-and-pepper hair, running down the hard angle of her sharp jaw. She did not shiver. Eighteen years in the Metropolitan Police had trained the flinch out of her. She checked the worn leather watch on her left wrist. Two in the morning. Across the street, a figure huddled beneath the awning of a closed kebab stand. Tomás Herrera. He shifted his weight from one foot to the other. Harlow knew his file by heart. Born in Seville. Former NHS paramedic. Stripped of his license for administering what the medical board had called localized hallucinogens and unknown herbal compounds to patients who were nowhere near the traditional medical system. Harlow knew better. He was the medic for the clique, the shadow network she had been tracking for three years. Ever since DS Morris bled out in a locked room reeking of ozone and rot, killed by something the official report labeled a wild animal attack. Tomás stepped out from the awning. A passing car’s headlights swept over him, illuminating his olive skin and the short, curly dark brown hair plastered to his forehead. He clutched a heavy canvas satchel defensively against his ribs. Harlow stepped out of the shadows. She wanted him to see her. She wanted to push him into a mistake. Tomás turned his head. His warm brown eyes locked onto hers across the rain-swept street. For a second, the street noise faded beneath the drumming rain. Harlow squared her shoulders, her military precision evident in her straight spine and balanced stance. She took one step off the curb. Panic fractured Tomás’s expression. He bolted. Harlow broke into a sprint. Her booted feet slapped the wet tarmac, kicking up arcs of icy water. She crossed the street in long, measured strides, dodging a late-night delivery cyclist who shouted a curse in her wake. She ignored him, her focus tunneling entirely on the fleeing ex-paramedic. Tomás darted down a narrow alley between two brick apartment blocks. Harlow rounded the corner seconds later. The alley was a labyrinth of overflowing bins and discarded pallets. Tomás moved with desperate speed, throwing a stack of collapsed cardboard boxes into her path. Harlow vaulted the obstruction without breaking stride. Her lungs expanded, pulling in the damp, freezing air. She maintained a steady, calculated pace to close the distance. Tomás was younger, twenty-nine to her forty-one, but panic made him sloppy. His boots slipped on the slick cobblestones. He crashed shoulder-first into a graffitied wall, rebounding with a gasp, but continued running. As he pushed himself off the brickwork, the sleeve of his dark jacket rode up. Harlow caught a glimpse of the jagged, pale scar running along his left forearm, the remnant of a knife attack his file said he had survived during a murky street altercation. A silver Saint Christopher medallion bounced wildly against his chest, catching the sparse light from a distant streetlamp. He was terrified, but he held onto that satchel as if it contained his own heart. The chase spilled out of the alley onto a wider, desolate stretch of road bordered by high chain-link fences. The industrial decay of old Camden loomed ahead. Harlow pushed her legs harder, feeling the familiar, welcome burn in her thighs. She was closing in. Ten yards. Now eight. Tomás realized he could not outrun her on an open stretch. He veered sharply to the left, diving toward a gap in a rusted wrought-iron fence. Harlow recognized the architecture looming behind the overgrowth. It was the old South Kentish Town station, an abandoned Tube stop that had been closed to the public since before she was born. Tomás squeezed through the rusted bars. Harlow hit the fence seconds later, her hands gripping the cold, wet iron. She found a foothold on a concrete ledge and hoisted herself up and over, dropping into the dense, rain-soaked weeds on the other side. She landed in a crouch, instantly scanning the darkness. Footsteps echoed from below. Harlow approached the yawning black mouth of the station entrance. The metal shutter had been pried up just enough for a person to slide underneath. The smell hitting her nostrils made her pause. It was not just the damp, stale stench of an abandoned subterranean tunnel. There was a metallic tang in the air, sweet and heavy, reminiscent of burned copper and dried blood. It was the identical smell that had permeated the air the night Morris died. Her sharp jaw tightened. The rational part of her brain, the seasoned detective who played by the book and gathered actionable evidence, demanded she call for backup. But backup had done nothing for Morris. The brass had swept his death under the rug. She was completely off the clock, chasing a ghost network that moved like smoke. She dropped onto her back and slid beneath the metal shutter, pulling herself into the dry, pitch-black interior. She rose to her feet, letting her eyes adjust. The faint glow of emergency bulbs cast long, distorted shadows down the tiled stairwell. She descended with silent, methodical grace, transferring her weight carefully to avoid scuffing her rubber soles against the debris. The air grew warmer as she went deeper, shedding the London chill to become thick and suffocating. Down a long corridor of peeling cream tiles, Harlow heard the low murmur of voices. It was not a single conversation, but the collective hum of a crowd. She pressed her back against the curved wall, easing her way toward the arched entrance of the old platform. What she saw made her breath catch in her throat. The platform was not abandoned. It was teeming with life, but none of it looked entirely human. Flickering glass lanterns hung from the arched ceiling, casting a sickly, bioluminescent glow over a sprawling bazaar. Makeshift stalls constructed from scavenged tunnel grates and velvet draped over rusted oil drums lined the edge of the pit where the train tracks used to be. Harlow saw figures in heavy, obscure clothing trading glass vials filled with glowing liquids, bundles of dried, twisted roots, and tarnished silver weapons. It was a black market. But it defied everything she had ever learned about the criminal underworld. Harlow spotted Tomás at the periphery of the market. He stood before a massive, iron-wrought gate that blocked the deeper tunnels. A massive figure cloaked in tattered wool stood guarding the threshold. Harlow watched intently as Tomás shoved a hand into his pocket. He did not pull out money. Instead, he withdrew a pale, slender object. A bone. The cloaked guard took the bone token, inspected it, and gave a sharp, grinding grunt. The heavy iron gate swung open with a shriek of rust. Tomás hurried through, his Saint Christopher medallion swinging wildly as the gate slammed shut and locked behind him. Harlow stood motionless in the shadows. The sheer impossibility of the scene before her threatened to unravel decades of rigid, logical thinking. This was not a drug ring. This was not a typical smuggling operation. This was the Veil Market, though she did not yet know its name. She only knew that the impossible phenomena surrounding Morris's death were not anomalies. They were the norm down here. She looked at her worn leather watch. Time was slipping. Tomás was her only thread to the clique, and he was taking his secrets deeper into the underground. She had no bone token. She had no jurisdiction, no backup, and no understanding of the rules governing this subterranean world. She was a single, human detective staring down into the mouth of madness. Harlow reached inside her wet wool coat, resting her hand on the cold polymer grip of her service weapon. It was an anchor to the real world, a comforting weight against the encroaching impossible. She thought of Morris's empty desk. She thought of the sickening sweep of the broom as the department moved on from his murder. Her jaw set hard into a look of absolute, lethal determination. Harlow stepped out from the shadows of the arched corridor and walked directly into the luminescent glow of the market. She was going to find a way through that iron gate. And heaven help anything that tried to stop her.
created_at"2026-02-19T19:41:50.244Z" 2/19/2026, 7:41:50 PM
model"google/gemini-3.1-pro-preview-20260219"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency10648
moderation_latency(null)
generation_time86305
tokens_prompt914
tokens_completion3959
native_tokens_prompt852
native_tokens_completion5215
native_tokens_completion_images0
native_tokens_reasoning3482
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"
usage0.064284
router(null)
provider_responses
0
endpoint_id"2abf5677-0826-45d9-8470-3d62c31d54a1"
is_byokfalse
latency10648
model_permaslug"google/gemini-3.1-pro-preview-20260219"
provider_name"Google AI Studio"
status200
api_type"completions"
id"gen-1771530110-1IIkrDwGfdFPnkGsdDUO"
upstream_id(null)
total_cost0.064284
cache_discount(null)
upstream_inference_cost0
provider_name"Google AI Studio"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
89.47% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1424
totalAiIsmAdverbs3
found
0
adverb"sharply"
count1
1
adverb"completely"
count1
2
adverb"carefully"
count1
highlights
0"sharply"
1"completely"
2"carefully"
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)
36.80% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1424
totalAiIsms18
found
0
word"weight"
count3
1
word"fractured"
count1
2
word"measured"
count1
3
word"calculated"
count1
4
word"loomed"
count1
5
word"familiar"
count1
6
word"looming"
count1
7
word"scanning"
count1
8
word"footsteps"
count1
9
word"echoed"
count1
10
word"methodical"
count1
11
word"chill"
count1
12
word"constructed"
count1
13
word"velvet"
count1
14
word"unravel"
count1
15
word"comforting"
count1
highlights
0"weight"
1"fractured"
2"measured"
3"calculated"
4"loomed"
5"familiar"
6"looming"
7"scanning"
8"footsteps"
9"echoed"
10"methodical"
11"chill"
12"constructed"
13"velvet"
14"unravel"
15"comforting"
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
emotionTells1
narrationSentences121
matches
0"was terrified"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences121
filterMatches
0"watch"
hedgeMatches
0"tried to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences121
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen31
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1412
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions0
unquotedAttributions0
matches(empty)
79.18% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions56
wordCount1412
uniqueNames18
maxNameDensity1.42
worstName"Harlow"
maxWindowNameDensity2.5
worstWindowName"Harlow"
discoveredNames
Camden2
Harlow20
Quinn1
Metropolitan1
Police1
Herrera1
Seville1
Morris5
Tomás13
Saint2
Christopher2
South1
Kentish1
Town1
Tube1
London1
Veil1
Market1
persons
0"Camden"
1"Harlow"
2"Quinn"
3"Police"
4"Herrera"
5"Morris"
6"Tomás"
7"Saint"
8"Christopher"
places
0"Metropolitan"
1"Seville"
2"South"
3"Kentish"
4"Town"
5"London"
globalScore0.792
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences101
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.708
wordCount1412
matches
0"not a single conversation, but the collective hum of a crowd"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences121
matches
0"knew that the"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs33
mean42.79
std24.85
cv0.581
sampleLengths
072
114
2112
338
420
548
66
749
843
959
1064
1116
1248
1358
1452
154
1678
1757
1818
1959
2028
2129
2284
2317
2456
252
2644
2767
2828
2934
3057
3131
3220
96.56% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences121
matches
0"was terrified"
1"been closed"
2"been pried"
84.06% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs230
matches
0"was closing"
1"was teeming"
2"was slipping"
3"was taking"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences121
ratio0
matches(empty)
82.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1424
adjectiveStacks3
stackExamples
0"dense, rain-soaked weeds"
1"dry, pitch-black interior."
2"massive, iron-wrought gate"
adverbCount24
adverbRatio0.016853932584269662
lyAdverbCount16
lyAdverbRatio0.011235955056179775
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences121
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences121
mean11.67
std6.25
cv0.536
sampleLengths
017
121
217
34
413
510
64
714
82
910
106
113
123
1328
143
1517
1626
176
1822
1910
206
216
228
234
2411
2511
2615
277
284
292
305
3113
3220
3311
3411
356
3611
3715
387
399
4010
4112
427
4314
4415
4531
4618
4716
4819
498
39.26% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats13
diversityRatio0.2975206611570248
totalSentences121
uniqueOpeners36
57.47% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences116
matches
0"Ever since DS Morris bled"
1"Instead, he withdrew a pale,"
ratio0.017
61.38% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount46
totalSentences116
matches
0"She did not shiver."
1"She checked the worn leather"
2"He shifted his weight from"
3"He was the medic for"
4"He clutched a heavy canvas"
5"She wanted him to see"
6"She wanted to push him"
7"His warm brown eyes locked"
8"She took one step off"
9"Her booted feet slapped the"
10"She crossed the street in"
11"She ignored him, her focus"
12"Her lungs expanded, pulling in"
13"She maintained a steady, calculated"
14"His boots slipped on the"
15"He crashed shoulder-first into a"
16"He was terrified, but he"
17"She was closing in."
18"He veered sharply to the"
19"It was the old South"
ratio0.397
46.21% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount96
totalSentences116
matches
0"Detective Harlow Quinn stood in"
1"Water dripped from her closely"
2"She did not shiver."
3"She checked the worn leather"
4"He shifted his weight from"
5"Harlow knew his file by"
6"Harlow knew better."
7"He was the medic for"
8"Tomás stepped out from the"
9"A passing car’s headlights swept"
10"He clutched a heavy canvas"
11"Harlow stepped out of the"
12"She wanted him to see"
13"She wanted to push him"
14"Tomás turned his head."
15"His warm brown eyes locked"
16"Harlow squared her shoulders, her"
17"She took one step off"
18"Harlow broke into a sprint."
19"Her booted feet slapped the"
ratio0.828
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences116
matches(empty)
ratio0
84.15% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences73
technicalSentenceCount6
matches
0"Stripped of his license for administering what the medical board had called localized hallucinogens and unknown herbal compounds to patients who were nowhere ne…"
1"She crossed the street in long, measured strides, dodging a late-night delivery cyclist who shouted a curse in her wake."
2"She ignored him, her focus tunneling entirely on the fleeing ex-paramedic."
3"It was the old South Kentish Town station, an abandoned Tube stop that had been closed to the public since before she was born."
4"The rational part of her brain, the seasoned detective who played by the book and gathered actionable evidence, demanded she call for backup."
5"He stood before a massive, iron-wrought gate that blocked the deeper tunnels."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags0
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
85.2176%