Run: 2026-07-25-01KYCTJSMNBW786TKQ9M5T22S3

Run Details

Duration:
22.7s
Cost:
$0.026156
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 Camden High Street in sheets of cold lead, washing neon light across the wet asphalt like spilled dye. Harlow Quinn cut through the downpour, her boots striking the pavement with practiced, military rhythm. Water streamed down her closely cropped salt-and-pepper hair, clinging to the sharp angle of her jaw. Thirty yards ahead, a dark jacket cut through the downpour, weaving around closed shopfronts and abandoned bus stops. "Stand down, Herrera!" Quinn cleared the corner, heels digging into slick brick. She unholstered her sidearm, keeping the barrel low, pointed at the pavement. Tomás Herrera did not stop. He vaulted the bonnet of a parked delivery van, his soles squealing on wet paint. His olive skin glistened under the amber streetlights, dark curls plastered flat against his forehead. As he twisted to clear the vehicle, his left sleeve pulled back, exposing the jagged white scar running down his forearm. "Go home, Detective!" Herrera landed hard on the pavement, slipping before catching his balance against a iron lamppost. "You're out of your depth!" "You're breaching court orders and running illegal freight!" Quinn closed the distance, her breath coming in tight, controlled bursts. She checked her watch—the worn leather strap soaked through, ticking steadily against her wrist. "Stop right there!" Herrera sprinted down an alleyway squeezed between a closed butcher shop and a boarded-up railway arch. The alley reeked of rotting produce and stagnant runoff. He hit a row of stacked plastic crates, sending them tumbling into Quinn’s path. Quinn planted her boot, leaping over the skittering plastic. Her shoulder clipped a brick corner, sending a jolt of pain through her arm, but she kept her gaze locked on the silver disc swinging wildly from Herrera's neck. The Saint Christopher medallion caught the flash of a passing ambulance siren, a glint of polished silver in the gloom. "There's nowhere to go, Tomás!" Quinn slammed into the alley wall, rebounding off the wet masonry to maintain her momentum. "That's a dead end!" Herrera proved her wrong. He reached a rusted, padlocked chain-link fence at the rear of the alley, jammed a brass key into an unmapped utility box beside a service door, and threw his weight against the iron panel. The heavy door groaned open, revealing a downward staircase engulfed in absolute darkness. "Don't do it!" Quinn roared, reaching the threshold just as Herrera slipped through the gap. She threw her body against the iron frame before it could slam shut. The door struck her left shoulder with a dull crunch. Quinn gritted her teeth, shoving her boot into the jamb. She leveraged her hips, forcing the door back until the rusted hinges screamed in protest. Below her lay a steep, concrete stairwell leading into the disused veins of the London Underground. Rain didn't fall here; it dripped from concrete fissures overhead, plinking against broken tile with a hollow sound. The stench hit her immediately—a thick, unnatural mixture of copper, ozone, and burnt lavender that drowned out the crisp smell of rainwater. Quinn clicked on her tactical flashlight. The beam sliced through the thick dust hanging in the air, illuminating steps coated in decades of grime and discarded wrappers. "I can hear you down there!" Quinn descended, keeping her back pressed against the moist tile wall, weapon held in a two-handed tactical grip. "The whole grid is monitored, Herrera! You're cornering yourself!" From forty feet below, her flashlight caught the sudden turn of Herrera's face. He stood on a rusted metal landing, breathing heavily, hands resting on his knees. Blood trickled from a fresh scrape on his knuckle. "This isn't your jurisdiction, Quinn!" Herrera shouted up the stairwell, his voice reverberating off the curved tiles, strangely dampened by the heavy air. "You turn around now, you go back to the station, you live to see forty-two!" "You think a few dark stairs scare me?" Quinn took three rapid steps down, her tactical light blinding him. "Drop the coat! Hands on your head!" Herrera shielded his eyes with his scarred forearm. "You have no idea what's down here. You think you're tracking a rogue paramedic? You're walking into a furnace!" He pulled an oval object from his coat pocket—a piece of polished bone the size of a coin—and pressed it against a heavy steel door set into the back wall of the landing. The rusted steel hummed. A low, hydraulic hiss echoed up the shaft, followed by the heavy clunk of iron deadbolts retracting. "Tomás!" Quinn jumped down the final four stairs, landing hard on the concrete platform just as the steel door swung open. A wave of dry heat rolled out from the gap, accompanied by a low, rhythmic thrum that vibrated directly through the soles of her boots. It sounded like a thousand quiet voices speaking different languages at once, layered over the clinking of glassware and the crackle of open flame. Beyond the threshold lay no sub-station or maintenance tunnel. The track bed of the abandoned Camden Tube line opened into a vast, cavernous hall illuminated by floating iron braziers and flickering green lanterns. Stalls made of polished dark wood and heavy velvet curtains lined the subterranean platform. Figures draped in long cloaks milled between display cases filled with shimmering jars, dried herbs, bound leather texts, and strange, unidentifiable bone implements. The ceiling arched overhead, dripping with thick copper wires and unnatural, luminescent moss. Herrera stepped across the threshold, turning back to face her from inside the threshold. He stood on a floor paved with pale, smooth stones, completely dry despite the storm raging eighty feet above. "This is the line, Detective," Herrera said quietly, his voice dropping as the strange hum of the market washed over them. "You cross this, and your badge doesn't mean a damn thing. Your gun won't save you down here." Quinn stood on the concrete landing, five feet away. The rain from her jacket dripped onto the cold floor, creating a dark, spreading pool at her feet. She raised her firearm, aligning the sights directly with the center of Herrera's chest. Inside the market, several cloaked figures paused. Unnatural eyes—some glowing like smoldering embers, others entirely black—drifted toward the doorway, locking onto Quinn's uniform, her brass badge, and her steel barrel. The air grew dense, heavy with a pressure that made her inner ear pop. Quinn’s finger rested firmly against the trigger. Her heart beat with slow, deliberate precision. She stared at the threshold, at the boundary where the ordinary city ended and the impossibly deep underbelly began. She looked at Herrera, then past him, into the swirling shadows of the illegal underground market.
created_at"2026-07-25T14:24:03.743Z" 7/25/2026, 2:24:03 PM
model"google/gemini-3.6-flash-20260721"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1482
moderation_latency(null)
generation_time22694
tokens_prompt1104
tokens_completion2552
native_tokens_prompt1042
native_tokens_completion3279
native_tokens_completion_images0
native_tokens_reasoning1829
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"default"
usage0.0261555
router(null)
provider_responses
0
endpoint_id"5d6d133d-a953-4781-a835-7ee76f4e1388"
id"A8dkaqefMfLTjMcP5Zr64As"
is_byokfalse
latency1482
model_permaslug"google/gemini-3.6-flash-20260721"
provider_name"Google AI Studio"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1784989443-7CFuVeAXwFoZPJ1Y9Jjl"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784989443-prGFtdeQhdWE6U49Btxx"
upstream_id"A8dkaqefMfLTjMcP5Zr64As"
total_cost0.0261555
cache_discount(null)
upstream_inference_cost0
provider_name"Google AI Studio"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags10
adverbTagCount1
adverbTags
0"Herrera said quietly [quietly]"
dialogueSentences18
tagDensity0.556
leniency1
rawRatio0.1
effectiveRatio0.1
95.48% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1105
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)
63.80% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1105
totalAiIsms8
found
0
word"glint"
count1
1
word"gloom"
count1
2
word"weight"
count1
3
word"echoed"
count1
4
word"rhythmic"
count1
5
word"vibrated"
count1
6
word"velvet"
count1
7
word"firmly"
count1
highlights
0"glint"
1"gloom"
2"weight"
3"echoed"
4"rhythmic"
5"vibrated"
6"velvet"
7"firmly"
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
emotionTells0
narrationSentences64
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences64
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences72
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen35
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1099
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
72.84% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions37
wordCount972
uniqueNames10
maxNameDensity1.54
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Camden2
High1
Street1
Quinn15
Herrera13
Saint1
Christopher1
London1
Underground1
Tube1
persons
0"Quinn"
1"Herrera"
2"Saint"
3"Christopher"
places
0"Camden"
1"High"
2"Street"
3"London"
globalScore0.728
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences61
glossingSentenceCount1
matches
0"sounded like a thousand quiet voices speak"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1099
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences72
matches(empty)
65.75% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs27
mean40.7
std15.47
cv0.38
sampleLengths
069
124
256
323
436
539
658
724
851
915
1048
1156
1227
1333
1436
1538
1626
1727
1854
1921
2082
2150
2233
2339
2441
2544
2649
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences64
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs172
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount6
semicolonCount1
flaggedSentences5
totalSentences72
ratio0.069
matches
0"She checked her watch—the worn leather strap soaked through, ticking steadily against her wrist."
1"Rain didn't fall here; it dripped from concrete fissures overhead, plinking against broken tile with a hollow sound."
2"The stench hit her immediately—a thick, unnatural mixture of copper, ozone, and burnt lavender that drowned out the crisp smell of rainwater."
3"He pulled an oval object from his coat pocket—a piece of polished bone the size of a coin—and pressed it against a heavy steel door set into the back wall of the landing."
4"Unnatural eyes—some glowing like smoldering embers, others entirely black—drifted toward the doorway, locking onto Quinn's uniform, her brass badge, and her steel barrel."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount983
adjectiveStacks0
stackExamples(empty)
adverbCount25
adverbRatio0.0254323499491353
lyAdverbCount14
lyAdverbRatio0.014242115971515769
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences72
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences72
mean15.26
std6.68
cv0.438
sampleLengths
020
115
216
318
412
512
65
715
815
921
1018
115
1219
1314
143
1516
169
1714
189
1929
2020
2120
224
234
2434
2513
2615
2713
2810
2910
3015
3116
3218
3322
346
3521
3624
379
3813
3914
409
4123
4215
4319
447
458
4619
4733
484
4917
72.22% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.4583333333333333
totalSentences72
uniqueOpeners33
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences64
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount17
totalSentences64
matches
0"She unholstered her sidearm, keeping"
1"He vaulted the bonnet of"
2"His olive skin glistened under"
3"She checked her watch—the worn"
4"He hit a row of"
5"Her shoulder clipped a brick"
6"He reached a rusted, padlocked"
7"She threw her body against"
8"She leveraged her hips, forcing"
9"He stood on a rusted"
10"He pulled an oval object"
11"It sounded like a thousand"
12"He stood on a floor"
13"She raised her firearm, aligning"
14"Her heart beat with slow,"
15"She stared at the threshold,"
16"She looked at Herrera, then"
ratio0.266
14.69% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount57
totalSentences64
matches
0"Rain lashed Camden High Street"
1"Harlow Quinn cut through the"
2"Water streamed down her closely"
3"Quinn cleared the corner, heels"
4"She unholstered her sidearm, keeping"
5"Tomás Herrera did not stop."
6"He vaulted the bonnet of"
7"His olive skin glistened under"
8"Herrera landed hard on the"
9"Quinn closed the distance, her"
10"She checked her watch—the worn"
11"Herrera sprinted down an alleyway"
12"The alley reeked of rotting"
13"He hit a row of"
14"Quinn planted her boot, leaping"
15"Her shoulder clipped a brick"
16"The Saint Christopher medallion caught"
17"Quinn slammed into the alley"
18"Herrera proved her wrong."
19"He reached a rusted, padlocked"
ratio0.891
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences64
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences41
technicalSentenceCount2
matches
0"The stench hit her immediately—a thick, unnatural mixture of copper, ozone, and burnt lavender that drowned out the crisp smell of rainwater."
1"A wave of dry heat rolled out from the gap, accompanied by a low, rhythmic thrum that vibrated directly through the soles of her boots."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags10
uselessAdditionCount3
matches
0"Quinn cleared, heels digging into slick brick"
1"Quinn closed, her breath coming in tight, controlled bursts"
2"Quinn took, her tactical light blinding him"
38.89% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount2
fancyTags
0"Quinn roared (roar)"
1"Herrera shouted (shout)"
dialogueSentences18
tagDensity0.167
leniency0.333
rawRatio0.667
effectiveRatio0.222
77.4554%