Run: 2026-09-03-01M1KRTEHZTB13AEY04E2NZFRA

Run Details

Duration:
16.7s
Cost:
$0.011589
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 hammered the tarmac of Camden High Street, turning the neon reflections into jagged streaks of amber and magenta. Detective Harlow Quinn cut through the downpour, water streaming down her closely cropped salt-and-pepper hair. She kept her pace measured, matching stride to breath with the disciplined cadence drilled into her across eighteen years on the force. Thirty yards ahead, a hooded figure in a dark waxed jacket dodged around a knot of umbrella-toting clubbers outside the Electric Ballroom. Tomás Herrera. Quinn checked her worn leather watch. Half past midnight. The former paramedic moved fast for a man hauling an overstuffed courier bag, his sneakers finding traction on the slick paving stones where others slipped. Herrera cut sharp left into an unlit service alley behind the market stalls. Quinn broke into a sprint. The leather of her boots slammed hard against wet concrete, water spraying up the legs of her trousers. She rounded the brick corner, one hand already unsnapping the holster at her hip. The alley dead-ended at a corrugated iron fence plastered with peeling concert posters. A gap gaped at the base where the metal had been pried back and curled outward like a tin lid. Herrera was already sliding through the gap, his olive-skinned hand catching the edge of the jagged sheet metal. The silver chain of a Saint Christopher medallion swung free from his collar, glinting in the backwash of a distant streetlight. "Police! Stay where you are, Herrera!" The gap rattled shut. Quinn reached the barrier, grabbed the rusted edge, and hauled it open. She ducked low, scraping her shoulder against wet iron as she squeezed through to the other side. The alley opened into the skeletal remains of an abandoned transport depot, overgrown with bindweed and littered with shattered pallets. Rain clattered against rusted corrugated roofing high overhead. Ahead, a concrete stairwell vanished straight into the earth, framed by rotting wooden hoardings and a faded roundel from a century prior. Quinn unholstered her Glock 17, holding it in a low ready position. She flicked on the weapon light. The beam sliced through drifting mist, illuminating muddy boot prints descending the concrete steps. Water ran down the slope of her sharp jaw. DS Morris had followed a lead into a forgotten pit three years ago. They had brought his body out of a sewer main four miles away with no water in his lungs, no marks on his skin, and blood turned to black slush. The official inquest ruled it heart failure. Quinn had spent every night since ripping at the seams of that lie. She started down the stairs. The temperature plummeted with every step. The subterranean air lost the diesel stench of London and took on an odor of wet soot, ozone, and dried lavender. Condensation dripped from tiled walls where Victorian glazed brick peeled away in thick, sodden sheets. At the bottom of the second flight, the stairs ended at a collapsed ticket hall. Rusted turnstiles choked with silt blocked the main concourse, but someone had cleared a narrow gap through the maintenance gate. "Step away from the gate, Tomás." Herrera froze five paces ahead, his hand resting on a heavy iron bulkhead door. He turned slowly, raising his empty hands. His curly dark hair was plastered to his forehead, and rain dripped from the bridge of his nose. He pulled back the sodden sleeve of his left arm, exposing the thick, puckered knife scar running from his wrist to his elbow. "You should turn around, Detective." "Hands where I can see them. Drop the bag." "You don't want this." Herrera patted the courier bag with his fingertips, the movement deliberate. "Stolen trauma kits and black-market coagulants. That's what you think is in here, right? A rogue medic stocking the shelves for local thieves." "I know you stole six crates of military-grade plasma from St Thomas's on Tuesday. I know you've been patching up people who don't show up on any hospital registry in the city." "Because if they go to an NHS ward, they get put in cages or burned in incinerators." Quinn took one slow pace forward, her weapon steady, pointed at center mass. "Turn around. Face the wall." "Look at the door, Quinn." Herrera stepped aside, keeping his palms out. The iron bulkhead wasn't standard London Underground salvage. Intricate script was etched directly into the corroded metal, glowing with a faint, phosphor-green luminescence that cast no reflection on the wet tiles. In the center of the door hung an iron slot shaped like an open jaw. "You crossed through three dead jurisdictions coming down here," Herrera pointed toward the gloom behind her. "Your radio died the second you cleared the first landing. Your phone is searching for a tower that doesn't exist on this frequency." Quinn checked the corner of her vision; the red indicator on her shoulder mic blinked dead black. "I don't need a radio to put you in zip-ties." "You pull the trigger down here, and whatever comes to investigate the noise won't be wearing a high-vis vest." Herrera reached into his jacket pocket. "Keep those hands where I can see them!" He produced a sliver of polished ivory, three inches long, carved with runic notches. A bone token. "Morris didn't listen either," Herrera murmured. "He found a clinic in Whitechapel. Saw something he couldn't put in an incident report, so he kicked down a door he couldn't close." Quinn's grip tightened until her knuckles burned white. "What do you know about Morris?" "I know he died because he treated the Veil like a street gang with turf." Herrera slid the bone token into the iron mouth on the bulkhead. The mechanism engaged with the grinding shriek of ungreased gears. Heavy bolts slammed back inside the frame. The iron door groaned open on ancient counterweights, breaking an unbroken seal of cold, dead air. Beyond lay an abandoned platform, but the darkness was fractured by hundreds of lanterns hanging from vaulted cast-iron ribs. Stall canopies of crimson, midnight blue, and tattered canvas spanned the tracks as far as the mist allowed. Figures in heavy cloaks and industrial respirator masks moved between wooden trestles laden with jars of shimmering powdered minerals, bottled vapors, and rolls of parchment that hummed with static electricity. A low roar rose from the cavern—a mix of bartering in dead dialects, clinking glassware, and the unnatural hiss of alchemical burners. The Veil Market. Herrera backed through the opening, his boots crossing the threshold onto the stone platform. "Go back to the precinct, Detective. File your report. Tell your superintendent I lost you in the tunnels." Quinn lowered the pistol half an inch, looking past him into the vast, luminous subterranean bazaar. The hair on the back of her neck stood up as the pressure in her ears shifted, a low thrum vibrating through the soles of her boots. Every protocol she had followed for two decades demanded that she secure the exit, retreat to the surface, and call for tactical support. But tactical support had buried Morris in a closed-casket service and sealed his file under national security redactions. She took a long, steady breath, her sharp jaw set against the cold. Quinn stepped through the iron doorway onto the platform.
created_at"2026-09-03T13:55:03.878Z" 9/3/2026, 1:55:03 PM
model"google/gemini-3.7-flash-20260813"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2681
moderation_latency(null)
generation_time16631
tokens_prompt1104
tokens_completion2522
native_tokens_prompt1042
native_tokens_completion2882
native_tokens_completion_images0
native_tokens_reasoning1292
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"
usage0.011589
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788443703-Un3u7c5Gp37cMISYoQ9Y"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788443703-Hlj7SE6ZHBipap4DC0jW"
upstream_id"OHyZarG8Aaev1MkPobK90QI"
provider_responses
0
endpoint_id"dd072012-3274-417d-97e3-e290cba37e31"
id"OHyZarG8Aaev1MkPobK90QI"
is_byokfalse
latency2681
model_permaslug"google/gemini-3.7-flash-20260813"
provider_name"Google AI Studio"
status200
total_cost0.011589
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
totalTags2
adverbTagCount0
adverbTags(empty)
dialogueSentences20
tagDensity0.1
leniency0.2
rawRatio0
effectiveRatio0
95.86% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1207
totalAiIsmAdverbs1
found
0
adverb"slowly"
count1
highlights
0"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)
54.43% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1207
totalAiIsms11
found
0
word"streaming"
count1
1
word"measured"
count1
2
word"electric"
count1
3
word"glinting"
count1
4
word"shattered"
count1
5
word"flicked"
count1
6
word"standard"
count1
7
word"intricate"
count1
8
word"etched"
count1
9
word"gloom"
count1
10
word"fractured"
count1
highlights
0"streaming"
1"measured"
2"electric"
3"glinting"
4"shattered"
5"flicked"
6"standard"
7"intricate"
8"etched"
9"gloom"
10"fractured"
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
filterCount1
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)
analyzedSentences87
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen33
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1206
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions1
unquotedAttributions0
matches(empty)
50.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions39
wordCount958
uniqueNames17
maxNameDensity1.15
worstName"Quinn"
maxWindowNameDensity3.5
worstWindowName"Herrera"
discoveredNames
Camden1
High1
Street1
Harlow1
Quinn11
Electric1
Ballroom1
Herrera11
Saint1
Christopher1
Glock1
Morris2
London2
Victorian1
Underground1
Veil1
Market1
persons
0"Harlow"
1"Quinn"
2"Herrera"
3"Saint"
4"Christopher"
5"Morris"
6"Victorian"
places
0"Camden"
1"High"
2"Street"
3"Electric"
4"London"
globalScore0.926
windowScore0.5
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences61
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1206
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences87
matches
0"demanded that she"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs51
mean23.65
std20.54
cv0.869
sampleLengths
019
159
22
334
413
537
672
76
84
929
1050
1132
1272
135
1442
1535
166
1762
185
199
204
2111
2223
2332
2417
2513
265
275
287
2946
3039
3117
3210
3319
346
358
3617
3730
388
396
4015
4112
4233
4389
443
4514
4618
4743
4841
4913
84.92% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences69
matches
0"been pried"
1"was plastered"
2"was etched"
3"was fractured"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs147
matches
0"was already sliding"
77.18% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount1
flaggedSentences2
totalSentences87
ratio0.023
matches
0"Quinn checked the corner of her vision; the red indicator on her shoulder mic blinked dead black."
1"A low roar rose from the cavern—a mix of bartering in dead dialects, clinking glassware, and the unnatural hiss of alchemical burners."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount967
adjectiveStacks1
stackExamples
0"faint, phosphor-green luminescence"
adverbCount15
adverbRatio0.015511892450879007
lyAdverbCount4
lyAdverbRatio0.004136504653567736
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences87
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences87
mean13.86
std7.12
cv0.513
sampleLengths
019
115
222
322
42
56
63
725
813
95
1018
1114
1213
1320
1418
1521
166
174
1812
1917
2020
218
2222
2312
246
2514
269
2713
2830
297
3013
315
326
3321
3415
3515
3620
376
3814
397
4018
4123
425
439
444
4511
4623
4732
4817
4913
77.39% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats1
diversityRatio0.47126436781609193
totalSentences87
uniqueOpeners41
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences67
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount11
totalSentences67
matches
0"She kept her pace measured,"
1"She rounded the brick corner,"
2"She ducked low, scraping her"
3"She flicked on the weapon"
4"They had brought his body"
5"She started down the stairs."
6"He turned slowly, raising his"
7"His curly dark hair was"
8"He pulled back the sodden"
9"He produced a sliver of"
10"She took a long, steady"
ratio0.164
49.55% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount55
totalSentences67
matches
0"Detective Harlow Quinn cut through"
1"She kept her pace measured,"
2"Quinn checked her worn leather"
3"The former paramedic moved fast"
4"Herrera cut sharp left into"
5"Quinn broke into a sprint."
6"The leather of her boots"
7"She rounded the brick corner,"
8"The alley dead-ended at a"
9"A gap gaped at the"
10"Herrera was already sliding through"
11"The silver chain of a"
12"The gap rattled shut."
13"Quinn reached the barrier, grabbed"
14"She ducked low, scraping her"
15"The alley opened into the"
16"Rain clattered against rusted corrugated"
17"Quinn unholstered her Glock 17,"
18"She flicked on the weapon"
19"The beam sliced through drifting"
ratio0.821
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences67
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences47
technicalSentenceCount1
matches
0"Figures in heavy cloaks and industrial respirator masks moved between wooden trestles laden with jars of shimmering powdered minerals, bottled vapors, and rolls…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount1
fancyTags
0"Herrera murmured (murmur)"
dialogueSentences20
tagDensity0.05
leniency0.1
rawRatio1
effectiveRatio0.1
86.1112%