Run: 2026-10-13-01M4V1PFRZ8M9YEGHJ1B4Z7BAB

Run Details

Duration:
31.6s
Cost:
$0.022344
Provider:
Google AI Studio

Model input

System
You are an expert fiction writer. Always keep the following rules in mind: - Write in past tense and use General English spelling, grammar, and colloquialisms/slang. - Write in active voice - Always follow the "show, don't tell" principle. - Avoid adverbs and cliches and overused/commonly used phrases. Aim for fresh and original descriptions. - Convey events and story through dialogue. - Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. - Skip "he/she said said" dialogue tags and convey people's actions or face expressions through their speech - Avoid mushy dialog and descriptions, have dialogue always continue the action, never stall or add unnecessary fluff. Vary the descriptions to not repeat yourself. - Put dialogue on its own paragraph to separate scene and action. - Reduce indicators of uncertainty like "trying" or "maybe" When writing text: - NEVER conclude the scene on your own, follow the beat instructions very closely. - NEVER end with foreshadowing. - NEVER write further than what I prompt you with. - AVOID imagining possible endings, NEVER deviate from the instructions. - STOP EARLY if the continuation contains what was required in the instructions. You do not need to fill out the full amount of words possible.
User/Human
Take into account the following glossary of characters/locations/items/lore... when writing your response: <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> Continue the story using the following instructions: <instructions> 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. </instructions>

Model response

AI
Rain lashed the cracked asphalt of Camden High Street. Neon reflections shattered beneath the heavy strike of Detective Harlow Quinn’s boots. She kept her chin tucked against the gale, water beading on her closely cropped salt-and-pepper hair and dripping from the sharp line of her jaw. Thirty yards ahead, Tomás Herrera vaulted a rusted crowd barrier. The canvas medical bag slung across his chest slammed against his hip, throwing off his stride. He skidded on wet cobblestones, catching himself with an olive-skinned hand against a brick wall before darting into a narrow alleyway that reeked of stale fryer oil and rotting cabbage. Harlow pivoted on her heel, military precision dictating every economical movement of her five-foot-nine frame. She tapped the transmit button on the shoulder-mounted radio. "Central, this is DS Quinn. Suspect heading south down Buck Street Market passage. Male, late twenties, dark curly hair, carrying a green trauma kit. Requesting containment on the Chalk Farm Road exit." Static crackled in her ear, competing with the roar of the downpour. "Copy, DS Quinn. Units are twelve minutes out. Traffic is gridlocked at the canal bridge. Maintain visual, do not engage without—" Harlow released the button, cutting off the dispatcher. Twelve minutes might as well have been twelve years. She checked the worn leather watch on her left wrist. 02:14. Three hours since she had staked out the distinctive green neon sign of The Raven's Nest in Soho, watching the back door until Herrera slipped out with a bag full of stolen NHS plasma and whatever else he used to patch up his violent little syndicate. She rounded the corner into the alley. Dumpsters overflowed with sodden cardboard. Ahead, Herrera’s boot caught a slick patch of moss. He went down hard on one knee, the metal clasp of his medical bag snapping open. Glass vials rolled across the stone, intact despite the impact. Harlow closed the distance, her hand resting on the grip of the baton clipped to her tactical vest. "Police! Stay where you are, Tommy!" Herrera scrambled backward, his chest heaving. Rain plastered the dark brown curls to his forehead. He shoved the spilled vials back into the canvas sack with a hand that bore a jagged, pale scar running the length of the left forearm. As he yanked the strap over his shoulder, a small silver Saint Christopher medallion slipped from beneath his soaked collar, glinting in the amber spill of a high streetlamp. "You don't want to do this, Detective." Herrera backed toward a boarded-up archway at the dead end of the alley, his warm brown eyes wide. "Turn around. Go back to your precinct and forget you saw me." "Not a chance." Harlow took two measured steps forward, planting her feet wide to block his only exit. "You lost your paramedic license two years ago for stealing narcotics and falsifying patient records. Now you're running black-market supplies from Silas' bar to a crew of killers. On your knees. Hands behind your head." "Killers?" Herrera let out a breathless, bitter laugh, his fingers reaching behind his back to feel for the rotting plywood covering the archway. "I save lives, Quinn. If you arrest me tonight, three people bleed out before sunrise. Things are happening in this city that your badge can't fix." "Like what happened to DS Morris?" The name hung between them, heavy as lead. Three years of redacted files, a body torn apart in a locked room in Whitechapel, and superiors who told her to take medical leave whenever she asked about the claw marks on the ceiling. Herrera’s shoulders dropped an inch. Pity flashed across his wet face. "I didn't know your partner. Swear to God. Whatever got him, it wasn't us. You're hunting the wrong people." "Hands where I can see them, Tomás." Instead of complying, Herrera dug into his jeans pocket and pulled out a flat, circular disc the color of bleached ivory. He jammed the object into a gap between the damp bricks beside the plywood. A low grinding sound vibrated through the soles of Harlow’s boots. The smell of wet London trash vanished, replaced by a wave of scorching ozone, burnt sage, and ancient copper. The plywood didn't swing open; the wood rippled like disturbed water, revealing a tiled subterranean stairwell that had no business existing behind a nineteenth-century brewery wall. Herrera didn't hesitate. He dove backward through the distortion and bolted down the steps. Harlow froze for half a heartbeat. Her training screamed at her to wait for the patrol cars. Standard procedure dictated securing the perimeter of an unknown structural hazard. Then the memory of Morris’s closed casket flashed behind her brown eyes. She lunged forward, catching the edge of the brickwork just as the air began to thicken. The passage swallowed her. The rain stopped. The sudden absence of sound pressed against her eardrums as she descended a spiral of cracked Victorian tiles. Grime coated the curved walls, beneath a faded ceramic sign that read *Camden Road - Closed 1926*. She kept one hand on the wall, her boots silent on the concrete steps as she tracked the frantic slap of Herrera’s shoes below. At the bottom of the stairs, a massive man in a leather duster blocked a rusted turnstile. A jagged scar bisected his nose, and his eyes possessed a strange, milky film that reflected the flickering gas lamps mounted along the tunnel ceiling. Herrera skidded to a halt in front of the guard, slapping the white disc into the man's scarred palm. The guard grunted, stepping aside to let the former paramedic vault the turnstile and sprint toward the echoing cavern of the main platform. Harlow reached the bottom step, pulling her warrant card from her coat. "Metropolitan Police. Step aside." The guard turned his head. The milky eyes fixed on the silver badge, then drifted up to her face. He didn't flinch. Instead, his lip curled, revealing teeth filed to sharp points. He held up his massive empty left hand, rubbing his thumb against his calloused fingers. "Badge ain't currency down here, copper. Bone token. Wait for the next full moon if you want to apply for one through the brokers." Harlow didn't have time to process the teeth or the bizarre demand. Down the tunnel, Herrera was already merging into a dense crowd that spilled across the old train tracks. She glanced down at the turnstile. A small Wooden box sat bolted to the iron frame, its lid ajar, filled with dozens of the pale, carved discs collected from previous entrants. Before the giant could shift his weight, Harlow’s left hand shot out. She didn't go for her baton. She used the man's own momentum as he lunged, grabbing his thick wrist, twisting it outward with a practiced Krav Maga lock, and driving the heel of her boot into the side of his knee. The guard roared, dropping to one knee on the cracked tile. Harlow snatched a bone token from the open box, slammed it against the giant's broad shoulder, and vaulted the turnstile. "My receipt," she barked, already sprinting down the platform. Behind her, iron chains rattled, followed by a barked command in a language that sounded like grinding stones, halting the guard's pursuit. Harlow slowed to a brisk walk as she reached the platform edge, pulling her damp coat tight to conceal her tactical vest and radio. The abandoned Tube station beneath Camden had been gutted and reborn into something out of a fever dream. Canvas stalls and iron cages lined the platform and filled the deep trench where the rails used to run. Violet and amber lanterns hung from the curved brickwork ceiling, casting long, distorted shadows across hundreds of buyers and sellers. At the nearest stall, a woman with skin like gray tree bark weighed iridescent blue powder on brass scales, arguing in hushed tones with a man in a Savile Row suit whose shadow moved independently of his body. Across the tracks, cages rattled with creatures that had too many legs and eyes that glowed like dying embers. The air tasted thick, metallic, and sweet, coating the back of Harlow’s throat with the flavor of pennies and rotting lilies. Her heart hammered against her ribs, a rapid, steady drumbeat. Every instinct honed over eighteen years on the force told her she was out of her jurisdiction, out of her depth, and completely alone. Her radio let out a faint, deadened pop—solid earth and whatever held this place together had killed her signal to Central. Fifty feet ahead, near a vendor selling glass jars filled with swirling black smoke, a green canvas bag caught the lantern light. Herrera was moving fast, his head on a swivel, weaving between a cluster of hooded figures who smelled of wet dog and sulfur. He was heading for a maintenance tunnel at the far end of the platform, his hand clutching the strap of his medical kit like a lifeline. Harlow looked back toward the turnstile. The scarred giant was back on his feet, glaring at her from his post, waiting for her to either leave or make a mistake inside the market boundaries. One step backward meant safety, a clean report, and another cold trail. Ahead lay the answers to a three-year-old ghost and a criminal who knew how the dark worked. Harlow adjusted the leather strap of her watch, squared her shoulders, and stepped off the platform edge into the crowded trench of the tracks.
created_at"2026-10-13T16:31:57.935Z" 10/13/2026, 4:31:57 PM
model"google/gemini-4-argon-20261013"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1653
moderation_latency(null)
generation_time31311
tokens_prompt1104
tokens_completion2368
native_tokens_prompt1072
native_tokens_completion2020
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(null)
usage0.022344
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791909118-Puz58W2pjM4mcUp7flnG"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791909118-v5ruT304wWsX4n0l3Vs3"
upstream_id"_lzOaofZBcSj_PUPopnu4AE"
provider_responses
0
endpoint_id"4934736c-d662-4fe3-98eb-56def8c8c174"
id"_lzOaofZBcSj_PUPopnu4AE"
is_byokfalse
latency1653
model_permaslug"google/gemini-4-argon-20261013"
provider_name"Google AI Studio"
status200
total_cost0.022344
cache_discount(null)
upstream_inference_cost0
provider_name"Google AI Studio"
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
totalTags4
adverbTagCount0
adverbTags(empty)
dialogueSentences15
tagDensity0.267
leniency0.533
rawRatio0
effectiveRatio0
96.83% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1576
totalAiIsmAdverbs1
found
0
adverb"completely"
count1
highlights
0"completely"
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)
74.62% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1576
totalAiIsms8
found
0
word"shattered"
count1
1
word"glinting"
count1
2
word"measured"
count1
3
word"vibrated"
count1
4
word"standard"
count1
5
word"echoing"
count1
6
word"calloused fingers"
count1
7
word"weight"
count1
highlights
0"shattered"
1"glinting"
2"measured"
3"vibrated"
4"standard"
5"echoing"
6"calloused fingers"
7"weight"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"let out a breath"
count1
highlights
0"let out a breath"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences87
matches(empty)
93.60% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences87
filterMatches
0"watch"
hedgeMatches
0"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences98
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen46
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords5
totalWords1576
ratio0.003
matches
0"Camden Road - Closed 1926"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions54
wordCount1371
uniqueNames26
maxNameDensity1.09
worstName"Harlow"
maxWindowNameDensity2.5
worstWindowName"Herrera"
discoveredNames
Camden3
High1
Street1
Detective1
Harlow15
Quinn1
Tomás1
Herrera13
Raven1
Nest1
Soho1
Saint1
Christopher1
Whitechapel1
London1
Morris1
Victorian1
Road1
Closed1
Wooden1
Krav1
Maga1
Tube1
Savile1
Row1
Central1
persons
0"Harlow"
1"Quinn"
2"Tomás"
3"Herrera"
4"Raven"
5"Saint"
6"Christopher"
7"Morris"
places
0"Camden"
1"High"
2"Street"
3"Soho"
4"Whitechapel"
5"London"
6"Road"
7"Closed"
8"Savile"
9"Central"
globalScore0.953
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences79
glossingSentenceCount1
matches
0"sounded like grinding stones, halting the"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1576
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences98
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs43
mean36.65
std20.79
cv0.567
sampleLengths
046
156
224
332
433
574
67
740
818
96
1070
1137
1253
1349
146
1542
1630
177
1835
1956
2014
2140
2216
234
2462
2542
2642
2716
2847
2924
3030
3184
3231
339
3422
3524
3657
3778
3855
3922
4049
4163
4224
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences87
matches
0"been gutted"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs225
matches
0"was already merging"
1"was heading"
55.39% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount1
flaggedSentences3
totalSentences98
ratio0.031
matches
0"The plywood didn't swing open; the wood rippled like disturbed water, revealing a tiled subterranean stairwell that had no business existing behind a nineteenth-century brewery wall."
1"Grime coated the curved walls, beneath a faded ceramic sign that read *Camden Road - Closed 1926*."
2"Her radio let out a faint, deadened pop—solid earth and whatever held this place together had killed her signal to Central."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1381
adjectiveStacks1
stackExamples
0"massive empty left hand,"
adverbCount22
adverbRatio0.015930485155684286
lyAdverbCount4
lyAdverbRatio0.002896451846488052
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences98
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences98
mean16.08
std8.96
cv0.557
sampleLengths
09
112
225
310
416
530
615
79
832
912
1021
118
129
1310
141
1546
167
175
189
1916
2010
2118
226
236
249
2526
2629
2725
2812
2918
3035
3123
3226
336
348
3534
365
376
3819
397
4021
4114
4211
4319
4426
453
4611
476
4811
4911
72.16% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.4639175257731959
totalSentences97
uniqueOpeners45
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences86
matches
0"Instead of complying, Herrera dug"
1"Then the memory of Morris’s"
2"Instead, his lip curled, revealing"
ratio0.035
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount21
totalSentences86
matches
0"She kept her chin tucked"
1"He skidded on wet cobblestones,"
2"She tapped the transmit button"
3"She checked the worn leather"
4"She rounded the corner into"
5"He went down hard on"
6"He shoved the spilled vials"
7"He jammed the object into"
8"He dove backward through the"
9"Her training screamed at her"
10"She lunged forward, catching the"
11"She kept one hand on"
12"He didn't flinch."
13"He held up his massive"
14"She glanced down at the"
15"She didn't go for her"
16"She used the man's own"
17"she barked, already sprinting down"
18"Her heart hammered against her"
19"Her radio let out a"
ratio0.244
70.47% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount67
totalSentences86
matches
0"Rain lashed the cracked asphalt"
1"Neon reflections shattered beneath the"
2"She kept her chin tucked"
3"The canvas medical bag slung"
4"He skidded on wet cobblestones,"
5"Harlow pivoted on her heel,"
6"She tapped the transmit button"
7"Static crackled in her ear,"
8"Harlow released the button, cutting"
9"She checked the worn leather"
10"She rounded the corner into"
11"Dumpsters overflowed with sodden cardboard."
12"He went down hard on"
13"Glass vials rolled across the"
14"Harlow closed the distance, her"
15"Herrera scrambled backward, his chest"
16"Rain plastered the dark brown"
17"He shoved the spilled vials"
18"Herrera backed toward a boarded-up"
19"Harlow took two measured steps"
ratio0.779
58.14% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences86
matches
0"Before the giant could shift"
ratio0.012
50.69% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences62
technicalSentenceCount8
matches
0"He skidded on wet cobblestones, catching himself with an olive-skinned hand against a brick wall before darting into a narrow alleyway that reeked of stale frye…"
1"He shoved the spilled vials back into the canvas sack with a hand that bore a jagged, pale scar running the length of the left forearm."
2"Three years of redacted files, a body torn apart in a locked room in Whitechapel, and superiors who told her to take medical leave whenever she asked about the …"
3"The plywood didn't swing open; the wood rippled like disturbed water, revealing a tiled subterranean stairwell that had no business existing behind a nineteenth…"
4"A jagged scar bisected his nose, and his eyes possessed a strange, milky film that reflected the flickering gas lamps mounted along the tunnel ceiling."
5"Herrera was moving fast, his head on a swivel, weaving between a cluster of hooded figures who smelled of wet dog and sulfur."
6"He was heading for a maintenance tunnel at the far end of the platform, his hand clutching the strap of his medical kit like a lifeline."
7"The scarred giant was back on his feet, glaring at her from his post, waiting for her to either leave or make a mistake inside the market boundaries."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags4
uselessAdditionCount0
matches(empty)
16.67% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount2
fancyTags
0"Harlow took (take)"
1"she barked (bark)"
dialogueSentences15
tagDensity0.133
leniency0.267
rawRatio1
effectiveRatio0.267
88.8632%