Run: 2026-05-20-01KS25XWWX9T7DA1D04K6C357K

Run Details

Duration:
11.1s
Cost:
$0.016011
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 neon glare of London’s West End bled into the slick, black asphalt, fracturing under the relentless downpour into jagged streaks of red and electric blue. Detective Harlow Quinn adjusted the collar of her damp overcoat, her eyes locked on the figure darting through the midnight crowd. It was Tomás Herrera. She’d recognize that hurried, limping gait anywhere, even muffled by a heavy canvas jacket. He was moving too fast for a man just looking for a late-night pint. Harlow pressed a hand against her left wrist, her fingers brushing the worn leather strap of her watch—a nervous tic she’d developed three years ago, after the department buried DS Morris. The watch had been his. Its steady, mechanical tick-tick-tick was the only anchor she had left in a world that had ceased making sense the night Morris died in a warehouse that smelled of ozone and scorched copper. Herrera turned sharply down a narrow alleyway off Charing Cross Road. Harlow quickened her pace, her boots splashing through deep puddles, her military-precise stride eating up the distance. She kept her distance, tracking him past the shuttered storefronts and the glowing green neon sign of The Raven’s Nest. For a second, she thought he might duck inside Silas’ bar, but Herrera blew past it, his shoulder brushing the brick wall as he cut deeper into the labyrinth of Soho. He was carrying something. A heavy canvas satchel was slung across his chest, tucked securely under his arm as if it contained his very life. Harlow knew his file by heart. Twenty-nine years old, born in Seville, a brilliant paramedic struck from the NHS registry for administration of "unauthorized treatments." The official report was a mess of redacted lines and bureaucratic doublespeak, but Harlow knew the truth lay in the shadows. He was the patch-up man for a network of people who didn’t exist on any census. "Stop, Herrera," she muttered under her breath, though she didn’t call out. Not yet. She wanted to see where he went when he thought no one was watching. The rain intensified, a driving sheet of water that stung her eyes and blurred the street lamps. Herrera slipped into the mouth of an abandoned Tube station near the northern edge of the district. A rusted iron gate hung off its hinges, a faded *No Entry* sign dangling by a single bolt. Harlow paused at the threshold. The yawning stairwell swallowed the street noise, leaving only the hollow echoing drip of water deep within the earth. She reached inside her coat, her hand curving around the cold, familiar grip of her Glock. 18 years of decorated service told her to call for backup. But 18 years of service had also taught her that turning this in to dispatch would only result in a pair of uniformed officers finding nothing but damp concrete, while the real quarry slipped through the cracks. She slipped through the gap in the gate and began her descent. The air grew rapidly colder, thick with the smell of wet soot, rusted iron, and a strange, metallic sweetness that made the hair on the back of her neck stand up. The tiled walls of the old station were choked with black mold and peeling advertisements from the eighties. Far below, a low, rhythmic thrumming vibrated through the soles of her boots. It wasn't the sound of subterranean trains; it was a deep, choral hum, like a hive of bees trapped in a copper pipe. She rounded a landing and saw Herrera thirty feet ahead. He was standing before a massive, graffiti-scrawled steel fire door that shouldn't have been there. From her angle, Harlow watched him reach into his collar. He pulled out a Saint Christopher medallion, but he didn't look at it. Instead, he dipped his hand into his pocket and retrieved a small, pale object. Even in the gloom, Harlow’s sharp eyes caught the shape of it. A bone token. It was a finger joint, polished smooth and yellowed with age. Herrera pressed the bone into a narrow slot in the steel door. A heavy, mechanical clunk echoed through the stairwell. The door lunged backward an inch, then swung inward on silent, well-greased hinges. A sliver of warm, golden light cut through the damp darkness of the tunnel, carrying with it a wave of heat and the scent of foreign spices, burning beeswax, and ozone. Before the door could seal shutdown behind him, Harlow lunged forward. She abandoned all pretense of stealth, her boots slamming against the concrete. Herrera spun around at the sound. His warm brown eyes widened in recognition and sheer panic. His gaze darted from Harlow’s sharp, determined jawline to the badge she held aloft. "Police! Don't move, Herrera!" Instead of complying, Herrera scrambled backward through the threshold. "You shouldn't be here, Detective," he shouted, his voice cracking with genuine fear. "You don't know what you're walking into!" "Then explain it to me!" Harlow yelled, closing the distance. She reached the threshold just as the heavy steel door began to swing shut on its pneumatic arm. Harlow didn't hesitate. She jammed her thick flashlight into the doorframe. The metal groaned, the door halting with a violent shudder against the heavy maglite. She squeezed through the gap, her shoulder scraping against the frame, and stepped into another world. The space opened up into a towering subterranean cavern—an abandoned train hall from a forgotten era of London’s transit system, but transformed. This was the Veil Market. Dozens of makeshift stalls draped in rich velvets, heavy silks, and tattered canvas stretched along what used to be the tracks. Instead of commuters, the platforms were thronged with figures cowl-necked and cloaked, whispering in languages Harlow had never heard. Overhead, hundreds of floating glass jars containing bioluminescent moss cast an eerie, shifting green and amber glow over the crowd. On the tables, Harlow saw things that defied the logic of her clean, analytical mind: jars of pulsing silver liquid, dried herbs that seemed to twitch in the draft, and weapons forged from metals that burned too bright. For a second, the sheer sensory assault paralyzed her. The logical, decorated detective wanted to turn back, to lock this door and pretend the underground of London was exactly what the maps said it was. But then she saw the scar. Herrera had paused fifty yards away, looking back at her. The sleeve of his canvas jacket was pushed up, revealing the long, jagged scar running along his left forearm—the mark of a knife attack he’d barely survived years ago. He was clutching his satchel to his chest like a shield. "Herrera!" Harlow called out, her voice cutting through the low murmur of the market. Instantly, the atmosphere changed. The murmuring ceased. Dozens of hooded heads turned slowly toward her. Harlow felt the weight of their gaze—cold, predatory, and entirely unbothered by the authority of her badge. Several large figures at the periphery of the market began to step away from the stalls, their movements fluid and unnaturally fast. Herrera looked at her, his expression a mix of pity and terror. "Move, Detective," he whispered, though the words carried across the silent hall. "Before they make you put that badge away forever." Harlow Quinn stood at the edge of the platform, the rain-soaked streets of London far above her, and the dark, impossible truth of the world laid bare before her. She took a deep breath, released her grip on her badge, and drew her service weapon. She wasn't turning back. Not until she knew what happened to Morris, and not until she had her answers. She stepped off the platform and into the market.
created_at"2026-05-20T07:52:13.986Z" 5/20/2026, 7:52:13 AM
model"google/gemini-3.5-flash-20260519"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency753
moderation_latency(null)
generation_time10965
tokens_prompt914
tokens_completion1955
native_tokens_prompt852
native_tokens_completion1637
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"
usage0.016011
router(null)
provider_responses
0
endpoint_id"bd50061c-e1d8-469e-96b1-d322e77378f8"
id"LmgNaqGNCpfB1MkPtLyosAw"
is_byokfalse
latency753
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-1779263533-8xT6ALi7qcp4CNSHdLKb"
session_id(null)
api_type"completions"
id"gen-1779263533-1E55gRMAq4fuaCCLAhpv"
upstream_id"LmgNaqGNCpfB1MkPtLyosAw"
total_cost0.016011
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
totalTags7
adverbTagCount0
adverbTags(empty)
dialogueSentences9
tagDensity0.778
leniency1
rawRatio0
effectiveRatio0
88.28% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1280
totalAiIsmAdverbs3
found
0
adverb"sharply"
count1
1
adverb"very"
count1
2
adverb"slowly"
count1
highlights
0"sharply"
1"very"
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)
53.13% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1280
totalAiIsms12
found
0
word"electric"
count1
1
word"mechanical"
count2
2
word"quickened"
count1
3
word"echoing"
count1
4
word"familiar"
count1
5
word"rhythmic"
count1
6
word"vibrated"
count1
7
word"gloom"
count1
8
word"echoed"
count1
9
word"determined"
count1
10
word"weight"
count1
highlights
0"electric"
1"mechanical"
2"quickened"
3"echoing"
4"familiar"
5"rhythmic"
6"vibrated"
7"gloom"
8"echoed"
9"determined"
10"weight"
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
narrationSentences83
matches(empty)
56.80% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount4
narrationSentences83
filterMatches
0"watch"
hedgeMatches
0"began to"
1"seemed to"
2"happened to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences86
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen41
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords2
totalWords1276
ratio0.002
matches
0"No Entry"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
80.16% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions51
wordCount1217
uniqueNames21
maxNameDensity1.4
worstName"Harlow"
maxWindowNameDensity2.5
worstWindowName"Harlow"
discoveredNames
London4
West1
End1
Harlow17
Quinn2
Tomás1
Herrera9
Morris3
Charing1
Cross1
Road1
Raven1
Nest1
Seville1
Tube1
Glock1
Saint1
Christopher1
Veil1
Market1
Instantly1
persons
0"Harlow"
1"Quinn"
2"Tomás"
3"Herrera"
4"Morris"
5"Raven"
6"Saint"
7"Christopher"
places
0"London"
1"West"
2"End"
3"Charing"
4"Cross"
5"Road"
6"Seville"
globalScore0.802
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences71
glossingSentenceCount1
matches
0"herbs that seemed to twitch in the draft, and weapons forged from metals that burned too bright"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1276
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences86
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs30
mean42.53
std24.82
cv0.583
sampleLengths
047
132
269
379
487
528
652
788
812
985
1025
1163
1212
1352
1423
1530
164
1729
1810
1943
2016
2167
2258
2341
2450
2514
2654
2733
2864
299
92.58% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences83
matches
0"were choked"
1"were thronged"
2"was pushed"
27.29% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount5
totalVerbs193
matches
0"was carrying"
1"was watching"
2"was standing"
3"was clutching"
4"wasn't turning"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount1
flaggedSentences5
totalSentences86
ratio0.058
matches
0"Harlow pressed a hand against her left wrist, her fingers brushing the worn leather strap of her watch—a nervous tic she’d developed three years ago, after the department buried DS Morris."
1"It wasn't the sound of subterranean trains; it was a deep, choral hum, like a hive of bees trapped in a copper pipe."
2"The space opened up into a towering subterranean cavern—an abandoned train hall from a forgotten era of London’s transit system, but transformed."
3"The sleeve of his canvas jacket was pushed up, revealing the long, jagged scar running along his left forearm—the mark of a knife attack he’d barely survived years ago."
4"Harlow felt the weight of their gaze—cold, predatory, and entirely unbothered by the authority of her badge."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount230
adjectiveStacks0
stackExamples(empty)
adverbCount7
adverbRatio0.030434782608695653
lyAdverbCount2
lyAdverbRatio0.008695652173913044
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences86
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences86
mean14.84
std8.63
cv0.582
sampleLengths
026
121
24
314
414
531
65
733
811
917
1020
1131
124
1321
146
1540
1616
1712
182
1914
2017
2117
2218
235
2419
2516
2611
2737
2812
2931
3018
3113
3223
3310
3415
3510
3613
3714
3812
393
4011
4112
428
4313
4431
4511
4612
476
4810
4914
55.43% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.36046511627906974
totalSentences86
uniqueOpeners31
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount4
totalSentences82
matches
0"Instead, he dipped his hand"
1"Instead of complying, Herrera scrambled"
2"Instead of commuters, the platforms"
3"Instantly, the atmosphere changed."
ratio0.049
83.41% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount28
totalSentences82
matches
0"It was Tomás Herrera."
1"She’d recognize that hurried, limping"
2"He was moving too fast"
3"Its steady, mechanical tick-tick-tick was"
4"She kept her distance, tracking"
5"He was carrying something."
6"He was the patch-up man"
7"she muttered under her breath,"
8"She wanted to see where"
9"She reached inside her coat,"
10"She slipped through the gap"
11"It wasn't the sound of"
12"She rounded a landing and"
13"He was standing before a"
14"He pulled out a Saint"
15"It was a finger joint,"
16"She abandoned all pretense of"
17"His warm brown eyes widened"
18"His gaze darted from Harlow’s"
19"he shouted, his voice cracking"
ratio0.341
63.66% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount65
totalSentences82
matches
0"The neon glare of London’s"
1"Detective Harlow Quinn adjusted the"
2"It was Tomás Herrera."
3"She’d recognize that hurried, limping"
4"He was moving too fast"
5"Harlow pressed a hand against"
6"The watch had been his."
7"Its steady, mechanical tick-tick-tick was"
8"Herrera turned sharply down a"
9"Harlow quickened her pace, her"
10"She kept her distance, tracking"
11"He was carrying something."
12"A heavy canvas satchel was"
13"Harlow knew his file by"
14"He was the patch-up man"
15"she muttered under her breath,"
16"She wanted to see where"
17"The rain intensified, a driving"
18"Herrera slipped into the mouth"
19"A rusted iron gate hung"
ratio0.793
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences82
matches
0"Even in the gloom, Harlow’s"
1"Before the door could seal"
ratio0.024
28.06% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences56
technicalSentenceCount9
matches
0"Its steady, mechanical tick-tick-tick was the only anchor she had left in a world that had ceased making sense the night Morris died in a warehouse that smelled…"
1"Harlow quickened her pace, her boots splashing through deep puddles, her military-precise stride eating up the distance."
2"She kept her distance, tracking him past the shuttered storefronts and the glowing green neon sign of The Raven’s Nest."
3"A heavy canvas satchel was slung across his chest, tucked securely under his arm as if it contained his very life."
4"The rain intensified, a driving sheet of water that stung her eyes and blurred the street lamps."
5"But 18 years of service had also taught her that turning this in to dispatch would only result in a pair of uniformed officers finding nothing but damp concrete…"
6"The air grew rapidly colder, thick with the smell of wet soot, rusted iron, and a strange, metallic sweetness that made the hair on the back of her neck stand u…"
7"He was standing before a massive, graffiti-scrawled steel fire door that shouldn't have been there."
8"On the tables, Harlow saw things that defied the logic of her clean, analytical mind: jars of pulsing silver liquid, dried herbs that seemed to twitch in the dr…"
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags7
uselessAdditionCount3
matches
0"he shouted, his voice cracking with genuine fear"
1"Harlow called out, her voice cutting through the low murmur of the market"
2"he whispered, though the words carried across the silent hall"
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount5
fancyTags
0"she muttered (mutter)"
1"he shouted (shout)"
2"Harlow yelled (yell)"
3"Harlow called out (call out)"
4"he whispered (whisper)"
dialogueSentences9
tagDensity0.556
leniency1
rawRatio1
effectiveRatio1
77.6264%