Run: 2026-09-03-01M1KRANVXA0KW4411HKKBFSBA

Run Details

Duration:
16.6s
Cost:
$0.011720
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 came down in sheets over Camden, turning the asphalt into black glass and drowning the hum of late-night traffic. Detective Harlow Quinn lunged across the slick tarmac, her combat boots finding purchase on the curb. Ahead, a hooded figure sprinted through the downpour, weaving between shuttered storefronts and parked delivery vans. Water sprayed from beneath his heels in wide arcs. He clutched a canvas trauma bag tight against his ribcage. "Met Police! Halt and drop the bag!" Tomás Herrera did not slow. He hooked a sharp left into an alleyway wedged between a kebab shop and a Victorian brick terrace. His sneakers skidded across wet cobblestones, his free hand catching a grease-slick brick wall to steady his momentum. The rain flattened his dark curls against his olive forehead. Around his neck, a silver Saint Christopher medallion swung in violent arcs, catching the orange flicker of a sodium streetlamp. Quinn rounded the corner three paces behind him. Her salt-and-pepper hair dripped into her eyes. She wiped her forehead with the back of her sleeve, her brown eyes locked onto the broad line of his shoulders. Her right hand rested against the butt of her sidearm beneath her waxed jacket. "You don't want to add fleeing an officer to the sheet, Herrera! Pull up!" "Go home, Detective! There is nothing on this street for you!" Tomás shoved a rusted wheelie bin backward. It clattered across the alley, spilling takeout cartons and sodden cardboard across Quinn’s path. She vaulted the metal edge with clean, practiced form, landing hard on the far side without breaking stride. Her worn leather watch scraped against the masonry as she brushed past a drainage pipe. Eighteen years on the force kept her lungs steady, though the damp chill cut deep into her chest. Tomás reached a dead end dominated by a builder’s hoarding. Rotten plywood covered a service entrance marked with faded London Underground roundels and peeling council condemnation notices. He threw his weight against the center plank. The wood splintered with a sharp crack, exposing a jagged gap into blackness. He squeezed through the gap. The satchel caught on a rusted nail, tearing the canvas before he wrenched it free and vanished inside. Quinn reached the breach a second later. She drew her tactical flashlight from her belt, thumbing the switch. A sharp beam cut through floating dust and pulverized plaster. Stone steps descended steeply into the belly of the earth, swallowed by thick, damp shadows. Cold air rushed up to meet her. It carried no scent of sewer or London clay. It smelled of sulfur, burned ozone, and dried lavender. Quinn squeezed through the broken plywood, her sharp jaw set tight. She kept her back to the curved brick wall of the stairwell, descending one step at a time. The beam of her torch swept over cracked white Victorian tiles, long since layered in soot and spiderwebs. Decades-old railway maps hung from the plaster in rotten shreds. Below her, footsteps echoed—hasty, erratic, slapping against stagnant pools of water. "Paramedic credentials don't cover breaking and entering, Tomás! Stop on the landing!" The footsteps halted. The silence of the dead station pressed against Quinn’s ears, thick and unnatural. "You're out of your precinct, Quinn. Turn around while the stairs still lead up." "Drop the satchel and step into the light with your hands clear." She rounded the final spiral of the staircase. The beam caught Tomás standing before a massive iron security grille that blocked the defunct platform tunnel. The gate was forged from heavy, blackened iron, etched with deep geometric grooves that did not belong to any municipal transit authority. Tomás turned his head toward the glare, squinting. Water dripped from the crook of his jaw onto his collar. A thick, pale scar cut a clean line down his exposed left forearm as he raised a hand to block the light. "You think this is about stolen morphine and illegal stitches. You have no idea what walks under this city." "I know you patched up three gunshot victims from the wharf shootout and dumped them before my team arrived. That makes you an accessory." "I saved their lives. The hospital would have dissected them." Tomás turned his back on her flashlight. He reached into his leather jacket and pulled out a carved piece of polished white bone the size of a coin. He pressed it into a circular indentation in the iron gate. The metal groaned. The etched grooves flared with a dull, ember-like heat, spitting tiny blue sparks against the damp platform wall. The heavy gate slid backward into the stone with the hiss of escaping steam. Beyond the threshold lay no abandoned railway tracks. The tunnel opened into an immense, vaulted cavern lit by clusters of pale green lanterns suspended from iron ribs. A crowded thoroughfare stretched through the dark, lined with stalls built from scavenged timber, brass pipes, and velvet awnings. Thick, sweet smoke drifted from copper braziers, curling downward against gravity to hug the flagstones. Figures in heavy cloaks and tailored coats moved between the stalls, bartering in low, resonant whispers that made Quinn’s teeth ache. Glass jars filled with shimmering, viscous fluids lined the nearest trestle table, alongside bundles of bone, iron sigils, and crates of unmarked lead canisters. The temperature plummeted. A dry, biting frost touched Quinn’s cheek—the exact same sudden cold that had filled the sealed evidence vault three years ago, the night DS Morris died with his eyes wide and his chest crushed from the inside out. Tomás stepped across the iron threshold. He looked back at her over his shoulder, his warm brown eyes hard with warning. "Stay on your side of the gate, Detective. Your badge doesn't carry weight past the iron." He turned and melted into the moving crowd of the subterranean market, his satchel tucked under his arm. Quinn stopped at the threshold. Her boot hovered an inch above the scorched seam where the modern tile met the impossible stone of the cavern. Behind her lay the stairs: wet rain, streetlights, radio dispatch, and the predictable logic of the Metropolitan Police. Ahead lay a labyrinth that defied every report she had ever filed, reeking of the cold mystery that had killed her partner. Her hand dropped from the flashlight to the grip of her pistol. Her leather watch clicked against the silence of her wrist. Quinn drew a breath of the sulfur air and stepped across the iron line.
created_at"2026-09-03T13:46:27.078Z" 9/3/2026, 1:46:27 PM
model"google/gemini-3.7-flash-20260813"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1906
moderation_latency(null)
generation_time16529
tokens_prompt1104
tokens_completion2487
native_tokens_prompt1042
native_tokens_completion2917
native_tokens_completion_images0
native_tokens_reasoning1557
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"
usage0.01172025
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788443187-NEkafBiIpSYyUpMoLWed"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788443187-oZAfDwLKh7G6bfNww6SI"
upstream_id"M3qZatX7DLe8jMcPwpy48AY"
provider_responses
0
endpoint_id"dd072012-3274-417d-97e3-e290cba37e31"
id"M3qZatX7DLe8jMcPwpy48AY"
is_byokfalse
latency1906
model_permaslug"google/gemini-3.7-flash-20260813"
provider_name"Google AI Studio"
status200
total_cost0.01172025
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
totalTags0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1077
totalAiIsmAdverbs0
found(empty)
highlights(empty)
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)
39.65% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1077
totalAiIsms13
found
0
word"flicker"
count1
1
word"chill"
count1
2
word"weight"
count2
3
word"footsteps"
count2
4
word"echoed"
count1
5
word"silence"
count2
6
word"etched"
count2
7
word"velvet"
count1
8
word"predictable"
count1
highlights
0"flicker"
1"chill"
2"weight"
3"footsteps"
4"echoed"
5"silence"
6"etched"
7"velvet"
8"predictable"
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
narrationSentences69
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences69
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences79
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen39
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1075
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
96.58% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions30
wordCount936
uniqueNames13
maxNameDensity1.07
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Camden1
Harlow1
Quinn10
Herrera1
Victorian2
Saint1
Christopher1
London2
Underground1
Tomás7
Morris1
Metropolitan1
Police1
persons
0"Camden"
1"Harlow"
2"Quinn"
3"Herrera"
4"Victorian"
5"Saint"
6"Christopher"
7"Tomás"
8"Morris"
places
0"London"
globalScore0.966
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences63
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1075
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences79
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs35
mean30.71
std19.94
cv0.649
sampleLengths
020
151
27
371
450
514
611
721
851
948
1023
1143
1225
1357
1411
1512
1616
1714
1812
1947
2041
2119
2224
2310
2439
2535
268
2798
2841
2921
3016
3118
3225
3340
3436
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences69
matches
0"was forged"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs147
matches(empty)
70.52% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount0
flaggedSentences2
totalSentences79
ratio0.025
matches
0"Below her, footsteps echoed—hasty, erratic, slapping against stagnant pools of water."
1"A dry, biting frost touched Quinn’s cheek—the exact same sudden cold that had filled the sealed evidence vault three years ago, the night DS Morris died with his eyes wide and his chest crushed from the inside out."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount943
adjectiveStacks1
stackExamples
0"over cracked white Victorian"
adverbCount11
adverbRatio0.01166489925768823
lyAdverbCount2
lyAdverbRatio0.0021208907741251328
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences79
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences79
mean13.61
std6.04
cv0.444
sampleLengths
020
116
216
39
410
57
65
718
818
910
1020
118
127
1321
1414
1514
1611
177
1814
1918
2015
2118
2210
2317
248
2513
265
2718
287
2911
3010
3115
327
339
349
3511
3618
3718
3810
3911
4012
413
4213
4314
4412
458
4617
4722
488
4911
57.38% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.4050632911392405
totalSentences79
uniqueOpeners32
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences69
matches(empty)
ratio0
86.67% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount23
totalSentences69
matches
0"He clutched a canvas trauma"
1"He hooked a sharp left"
2"His sneakers skidded across wet"
3"Her salt-and-pepper hair dripped into"
4"She wiped her forehead with"
5"Her right hand rested against"
6"It clattered across the alley,"
7"She vaulted the metal edge"
8"Her worn leather watch scraped"
9"He threw his weight against"
10"He squeezed through the gap."
11"She drew her tactical flashlight"
12"It carried no scent of"
13"It smelled of sulfur, burned"
14"She kept her back to"
15"She rounded the final spiral"
16"He reached into his leather"
17"He pressed it into a"
18"He looked back at her"
19"He turned and melted into"
ratio0.333
39.71% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount58
totalSentences69
matches
0"Rain came down in sheets"
1"Detective Harlow Quinn lunged across"
2"Water sprayed from beneath his"
3"He clutched a canvas trauma"
4"Tomás Herrera did not slow."
5"He hooked a sharp left"
6"His sneakers skidded across wet"
7"The rain flattened his dark"
8"Quinn rounded the corner three"
9"Her salt-and-pepper hair dripped into"
10"She wiped her forehead with"
11"Her right hand rested against"
12"Tomás shoved a rusted wheelie"
13"It clattered across the alley,"
14"She vaulted the metal edge"
15"Her worn leather watch scraped"
16"Tomás reached a dead end"
17"He threw his weight against"
18"The wood splintered with a"
19"He squeezed through the gap."
ratio0.841
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences69
matches(empty)
ratio0
84.55% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences49
technicalSentenceCount4
matches
0"The beam caught Tomás standing before a massive iron security grille that blocked the defunct platform tunnel."
1"The gate was forged from heavy, blackened iron, etched with deep geometric grooves that did not belong to any municipal transit authority."
2"Figures in heavy cloaks and tailored coats moved between the stalls, bartering in low, resonant whispers that made Quinn’s teeth ache."
3"Ahead lay a labyrinth that defied every report she had ever filed, reeking of the cold mystery that had killed her partner."
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
85.6354%