Run: 2026-10-13-01M4V1TYD9GWNYXBG1ANPV496B

Run Details

Duration:
25.2s
Cost:
$0.018664
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
Water sheeted off the corrugated iron roofs of Camden, turning the alleyway into a black canal. Detective Harlow Quinn kept her stride long and measured, her boots smashing through puddles that reflected the sickly orange glow of the streetlamps above. Cold droplets plastered her closely cropped salt-and-pepper hair to her skull. She ignored the chill. Eighteen years with the Met had taught her to compartmentalise discomfort, locking it away behind a sharp jaw and a steady pulse. Thirty yards ahead, Tomás Herrera scrambled over a chain-link fence. The metal rattled violently before his boots hit the tarmac on the other side. He clutched a leather medical bag against his chest like a rugby ball, his dark curls slick with rain. Quinn thumbed the transmit button on her shoulder-mounted radio. "Control, this is DS Quinn. Still in foot pursuit of the suspect from the Soho incident. Heading north-northwest through the Camden Lock alleys. He's carrying a brown leather kit bag. Send units to cut him off at Chalk Farm Road." Static hissed back in her ear, broken and garbled by the heavy brick viaducts towering overhead. "Repeat, Control?" More white noise. The storm and the Victorian masonry were swallowing her signal whole. She released the button and pumped her arms, closing the distance with military precision. She didn't need the cavalry to collar one disgraced paramedic. She had clocked Herrera slipping out the back of The Raven's Nest an hour ago, right after the green neon sign out front flickered off. Whatever that little clique of his was moving through Silas’s bar—narcotics, stolen pharmaceuticals, illegal weapons—Herrera was the mule tonight. And maybe, if she pressed him hard enough in an interview room, his operation would finally give her a thread that led back to what happened to DS Morris three years ago. Ahead, Herrera skidded around a corner stacked high with overflowing commercial bins. His jacket sleeve snagged on a rusted latch. The fabric tore, exposing olive skin and a thick, pale scar running the length of his left forearm. He didn't slow down to check the cut, though his free hand flew up to clutch a silver medallion bouncing against his collarbone. Quinn vaulted a fallen wooden pallet and rounded the corner. "Herrera! Stop! Police!" The alley was a dead end, boxed in by the soot-stained brick of an old railway arch and the boarded-up entrance to a disused Tube station. Rusting iron grilles barred the subterranean stairs, padlocked with chains thick enough to anchor a barge. Rotting posters from a decade ago peeled off the damp tiles. Herrera backed against the iron gate, his chest heaving. Rain dripped from his nose and chin. His warm brown eyes went wide as Quinn advanced, her collapsible baton sliding out of its belt holster with a sharp metallic *clack*. "Nowhere to go, Tommy. Drop the bag and put your hands where I can see them." "Look, Detective, you need to turn around." Herrera's voice carried the clipped cadence of Seville beneath a layer of London grit. He kept his weight on the balls of his feet, glancing over his shoulder at the rusted padlock. "Walk back to your car. Write this off." "And let you walk away with a bag full of class-A substances? Not happening. You lost your NHS licence for a reason, mate. Don't add assaulting an officer to the charge sheet." "It's not drugs." He fumbled in his pocket with his scarred arm, keeping the medical bag pinned to his ribs. "You've got no idea what you're chasing. This isn't a Met matter." "Everything on my streets is a Met matter. Hands out of your pockets! Now!" Quinn lunged forward. Herrera didn't pull a weapon. He pulled out a flat, yellowed disc the size of a poker chip. Even in the gloom, Quinn saw the porous texture of carved bone. Herrera shoved the bone token straight against the rusted face of the padlock. Sparks didn't fly. Instead, a sound like a heavy inhale echoed from the stairwell behind the grille, sucking the falling rain sideways through the bars. A dull violet light pulsed across the ironwork, smelling sharply of ozone and burnt copper. With a wet, metallic groan, the padlock unlatched itself. A gap wide enough for a man parted in the centre of the gate, though the iron bars themselves hadn't bent or moved on their hinges. The space between them simply widened, defying the geometry of the brickwork. Quinn froze, her baton raised mid-strike. Her breath caught in her throat. Three years ago, in an east London warehouse, she had smelled that exact combination of ozone and copper right before the shadows ate DS Morris alive. Herrera didn't waste a second. He threw himself backwards through the impossible gap. "Don't follow me!" he shouted as the darkness swallowed him. "They'll tear you apart down there, Quinn! You don't have a token!" The gap in the iron bars began to narrow, the violet light fading back into the rust. Quinn glanced down at the worn leather watch on her left wrist. The second hand was spinning backwards. Her stomach dropped, cold sweat breaking out beneath her soaked shirt. Every training manual, every ounce of veteran instinct screamed at her to step back, call for armed response, and seal the perimeter. Then she saw Morris’s empty desk back at the station. Quinn lunged forward and jammed the steel tip of her baton into the shrinking gap. The metal shrieked against the invisible force pulling the bars together. Tremors vibrated up her arm, numbing her fingers, as the iron fought to close. Gritting her teeth, she threw her five-foot-nine frame sideways, squeezing her shoulders through the narrowing slot and wrenching the baton free just as the bars slammed shut behind her with the ring of a church bell. She tumbled onto slick, dry stone steps. The sound of the London rain vanished instantly. Not muffled by earth and concrete, just gone, sliced off as if someone had muted a television. Quinn pushed herself up onto one knee, her baton drawn, brown eyes scanning the gloom. The stairwell descended deep into the belly of Camden, lit not by fluorescent tubes, but by glass jars hanging from the tiled walls. Inside each jar, pale green flames burned without wicks or smoke, casting long, wavering shadows down the steps. From below rose a low, thrumming murmur—hundreds of voices bartering in languages that scraped against Quinn's ears like gravel. The air tasted thick, heavy with dried sage, wet fur, and the metallic tang of old blood. Down at the bottom of the stairs, where the old ticket hall should have been, a sprawling bazaar stretched out across the subterranean platforms. Stalls stitched together from dark canvas and warped timber crowded the tracks. Figures in heavy cloaks and sharp tailored suits moved between them. At the nearest stall, a vendor with eyes that reflected the green firelight like a cat's was weighing out silver powder on brass scales, while a customer counted out more of those yellowed bone tokens. Fifty feet into the crowd, a dark curly head bobbed between two towering figures in butcher's aprons. Herrera was moving fast, clutching the Saint Christopher medallion at his throat as he pushed deeper into the market. Quinn stood at the threshold of the bottom step. Behind her, the iron gate was solid once more, an unbroken wall of rust blocking the way back to the rain and the world that made sense. Ahead lay the impossible, and the only man who could tell her what killed her partner. She slid the baton back into her belt, unbuttoned her soaked coat to clear the draw to her handcuffs, and stepped off the stairs into the crowd.
created_at"2026-10-13T16:34:23.797Z" 10/13/2026, 4:34:23 PM
model"google/gemini-4-argon-20261013"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1262
moderation_latency(null)
generation_time25132
tokens_prompt1104
tokens_completion1929
native_tokens_prompt1072
native_tokens_completion1652
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)
usage0.018664
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791909263-mADRRD1UtGVta6N2vB9D"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791909263-B0D0GxqouIZ30e7hm6I9"
upstream_id"j13Oar2nNd-H1MkPkMC8mQg"
provider_responses
0
endpoint_id"4934736c-d662-4fe3-98eb-56def8c8c174"
id"j13Oar2nNd-H1MkPkMC8mQg"
is_byokfalse
latency1262
model_permaslug"google/gemini-4-argon-20261013"
provider_name"Google AI Studio"
status200
total_cost0.018664
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
totalTags3
adverbTagCount0
adverbTags(empty)
dialogueSentences12
tagDensity0.25
leniency0.5
rawRatio0
effectiveRatio0
96.13% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1292
totalAiIsmAdverbs1
found
0
adverb"sharply"
count1
highlights
0"sharply"
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)
49.69% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1292
totalAiIsms13
found
0
word"measured"
count1
1
word"chill"
count1
2
word"pulse"
count1
3
word"flickered"
count1
4
word"weight"
count1
5
word"gloom"
count2
6
word"echoed"
count1
7
word"pulsed"
count1
8
word"stomach"
count1
9
word"vibrated"
count1
10
word"scanning"
count1
11
word"wavering"
count1
highlights
0"measured"
1"chill"
2"pulse"
3"flickered"
4"weight"
5"gloom"
6"echoed"
7"pulsed"
8"stomach"
9"vibrated"
10"scanning"
11"wavering"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"stomach dropped/sank"
count1
highlights
0"stomach dropped"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences76
matches(empty)
86.47% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount2
narrationSentences76
filterMatches
0"watch"
hedgeMatches
0"happened to"
1"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences85
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
markdownWords1
totalWords1289
ratio0.001
matches
0"clack"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
97.23% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions41
wordCount1137
uniqueNames16
maxNameDensity1.06
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Camden2
Harlow1
Quinn12
Met1
Tomás1
Herrera10
Victorian1
Raven1
Nest1
Silas1
Morris3
Tube1
Seville1
London3
Saint1
Christopher1
persons
0"Camden"
1"Harlow"
2"Quinn"
3"Met"
4"Tomás"
5"Herrera"
6"Raven"
7"Silas"
8"Morris"
9"Saint"
10"Christopher"
places
0"Seville"
1"London"
globalScore0.972
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences70
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.776
wordCount1289
matches
0"not by fluorescent tubes, but by glass jars hanging from the tiled walls"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences85
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs35
mean36.83
std26.38
cv0.716
sampleLengths
077
143
29
340
416
52
6114
761
810
93
1053
1139
1216
1347
1432
1532
1614
1733
1813
1987
2038
2113
2222
2317
2451
2510
2676
277
2825
2956
3036
3182
3236
3352
3427
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences76
matches(empty)
86.36% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs176
matches
0"were swallowing"
1"was spinning"
2"was weighing"
75.63% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount3
semicolonCount0
flaggedSentences2
totalSentences85
ratio0.024
matches
0"Whatever that little clique of his was moving through Silas’s bar—narcotics, stolen pharmaceuticals, illegal weapons—Herrera was the mule tonight."
1"From below rose a low, thrumming murmur—hundreds of voices bartering in languages that scraped against Quinn's ears like gravel."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1149
adjectiveStacks0
stackExamples(empty)
adverbCount32
adverbRatio0.0278503046127067
lyAdverbCount11
lyAdverbRatio0.009573542210617928
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences85
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences85
mean15.16
std8.07
cv0.532
sampleLengths
016
124
211
34
422
510
614
719
89
940
1016
112
123
1311
1414
1510
1625
1719
1832
1912
208
2118
2223
2310
243
2526
2616
2711
289
297
3023
3116
3221
3318
348
3532
3620
3712
3814
393
405
4113
4212
4313
443
4522
4615
479
4826
4912
93.73% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.5764705882352941
totalSentences85
uniqueOpeners49
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences76
matches
0"More white noise."
1"Instead, a sound like a"
2"Then she saw Morris’s empty"
ratio0.039
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount17
totalSentences76
matches
0"She ignored the chill."
1"He clutched a leather medical"
2"She released the button and"
3"She didn't need the cavalry"
4"She had clocked Herrera slipping"
5"His jacket sleeve snagged on"
6"He didn't slow down to"
7"His warm brown eyes went"
8"He kept his weight on"
9"He fumbled in his pocket"
10"He pulled out a flat,"
11"Her breath caught in her"
12"He threw himself backwards through"
13"he shouted as the darkness"
14"Her stomach dropped, cold sweat"
15"She tumbled onto slick, dry"
16"She slid the baton back"
ratio0.224
100.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount54
totalSentences76
matches
0"Water sheeted off the corrugated"
1"Detective Harlow Quinn kept her"
2"She ignored the chill."
3"The metal rattled violently before"
4"He clutched a leather medical"
5"Quinn thumbed the transmit button"
6"Static hissed back in her"
7"The storm and the Victorian"
8"She released the button and"
9"She didn't need the cavalry"
10"She had clocked Herrera slipping"
11"Whatever that little clique of"
12"His jacket sleeve snagged on"
13"The fabric tore, exposing olive"
14"He didn't slow down to"
15"Quinn vaulted a fallen wooden"
16"The alley was a dead"
17"Herrera backed against the iron"
18"Rain dripped from his nose"
19"His warm brown eyes went"
ratio0.711
65.79% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences76
matches
0"Even in the gloom, Quinn"
ratio0.013
91.84% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences56
technicalSentenceCount4
matches
0"Detective Harlow Quinn kept her stride long and measured, her boots smashing through puddles that reflected the sickly orange glow of the streetlamps above."
1"From below rose a low, thrumming murmur—hundreds of voices bartering in languages that scraped against Quinn's ears like gravel."
2"At the nearest stall, a vendor with eyes that reflected the green firelight like a cat's was weighing out silver powder on brass scales, while a customer counte…"
3"Behind her, the iron gate was solid once more, an unbroken wall of rust blocking the way back to the rain and the world that made sense."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags3
uselessAdditionCount0
matches(empty)
66.67% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount1
fancyTags
0"he shouted (shout)"
dialogueSentences12
tagDensity0.083
leniency0.167
rawRatio1
effectiveRatio0.167
93.6509%