Run: 2026-02-19-01KHTY76813SMHNJ8QKZ7EWN2C

Run Details

Duration:
31.4s
Cost:
$0.031413
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
The rain fell on Soho in a relentless, grey sheet, blurring the neon signs into watercolour smears across the windscreen of her unmarked saloon. Detective Harlow Quinn sat behind the wheel, engine off, the rhythmic thump of the wipers counting out a slow, patient beat. For two hours, the only change in the view had been the shifting reflections in the puddles swelling along the kerb. Her gaze remained fixed on the pub opposite, The Raven's Nest, its distinctive green sign casting an sickly pallor on the wet pavement. Her target was inside. The pub door swung open, spilling a wave of boozy laughter and warm light onto the street. A figure emerged, pulling the collar of a long, black coat high against the downpour. Quinn’s hands tightened on the steering wheel. That was him. He paused under the awning, a shadow against the light, and turned his head. For a fraction of a second, his eyes met hers through the rain-streaked glass. There was no recognition, no alarm, just a cold, flat assessment. Then he bolted. Quinn was out of the car before the door finished slamming shut, her feet pounding the slick tarmac. The air was cold and sharp in her lungs. He had a head start, a dark shape darting down a narrow alleyway choked with overflowing bins and discarded kitchen refuse. The smell of grease and wet cardboard filled her nostrils. She hurdled a stack of sodden newspapers, her worn leather watch catching the faint glow of a distant streetlamp. Her movements were economical, honed by years of drills and chases that ended in less forgiving places than this. He was fast. He vaulted a low wall at the end of the alley, and she followed, her palms scraping against the rough, mossy brick. She landed with a jolt that shot up her shins, ignoring the sting. She was on a wider thoroughfare now, Camden-bound. The suspect weaved through the sparse late-night crowd, a wraith slipping between umbrellas and hunched shoulders. Quinn pushed past a couple, a clipped "Police" her only apology as they stumbled aside. The distance between them was closing. She could see the frantic, jerky turn of his head as he looked back. He was losing steam. He cut sharply left, across four lanes of traffic. A horn blared, a screech of tyres on wet asphalt. Quinn didn't hesitate. She saw the gap between a double-decker bus and a black cab, a fleeting window of opportunity. She sprinted, the world a blur of red taillights and white headlights. The bus's horn sounded like a ship's bellow in her ear as its metal flank rushed past inches from her shoulder. She made it, her heart hammering against her ribs, a hot knot of adrenaline in her stomach. The suspect was scrambling towards the skeletal remains of an old, decommissioned Tube station, a relic swallowed by modern high-rises. Its arched entrance was a black mouth, covered by a heavy, ornate iron gate that should have been rusted shut for decades. He fumbled at his pocket, produced something small, and pressed it against the lock. With a low groan of protesting metal, a section of the gate slid inwards just enough for a person to squeeze through. He was gone. Quinn reached the gate seconds later, her breath rasping. She shoved against the heavy iron, but it was already grinding shut. Solid. Immovable. Panic, cold and unwelcome, pricked at her. She wasn't losing him. Not after this. Her eyes scanned the grimy stonework, the street, anywhere. A glint of white on the dark, wet ground caught her eye. She bent and snatched it up. It was a token, carved from bone, smooth and cool to the touch. A strange symbol, like a coiled serpent, was etched into its surface. The gap in the gate was almost closed. Without thinking, she found a small, recessed slot near the lock and jammed the bone token inside. It clicked. The grinding stopped, then reversed. The gate groaned open a few inches. It was enough. She wrenched it wider and slipped through into the darkness, the gate sliding shut behind her with a final, echoing clang that sealed her in. A wave of cold, stagnant air washed over her. It smelled of deep earth, of damp rot and ozone, and something else, a faintly sweet scent like night-blooming flowers and decay. She stood at the top of a spiral staircase that descended into profound blackness. Her hand went to the grip of her service weapon beneath her jacket, the familiar weight a small comfort in the suffocating dark. She took the stairs one at a time, her footsteps the only sound, each one a deliberate choice to go deeper. The staircase opened onto a long, wide platform, cavernous and vast. And it was anything but abandoned. The space throbbed with life and a riot of impossible light. The vaulted tile ceilings, stained and cracked, were lit by glowing fungi that pulsed with soft blues and purples. Stalls constructed from scrap metal and petrified wood lined the platform, their wares illuminated by captured sparks of light buzzing in glass jars. A crowd, thick and clamorous, moved through the cavern. Some looked human, dressed in fashions from a dozen different eras, but many did not. A man with skin like polished obsidian bargained with a vendor whose face was a swirling vortex of shadow. A woman with iridescent scales on her arms examined ablade that seemed to drink the light around it. The air was thick with the chatter of unknown languages and the scent of exotic spices, scorched metal, and that same sweet, cloying smell of rot. Quinn stood frozen at the edge of the platform, a ghost from another world. Her police-issue boots felt clumsy and loud on the ancient tiles. Her practical coat was a drab anomaly in a sea of silks, leathers, and materials she couldn't name. She scanned the impossible crowd, her eyes searching for a familiar long, black coat. He was here somewhere, swallowed by this menagerie. Her badge meant nothing here. Her authority was a joke. Every instinct screamed at her to retreat, to claw her way back to the rain and the familiar, dirty streets of London. Back to a world that made sense. But the image of her partner, Morris, flashed in her mind—his face pale and confused in the moments before he was taken by something she still couldn't explain. This place… it felt like the edge of that same abyss. The suspect she'd chased was part of it. He had answers. Her sharp jaw tightened. She took a breath, the strange, thick air flooding her lungs. Pulling her collar up, Quinn lowered her chin and stepped off the stairs, melting into the throng of the Veil Market.
created_at"2026-02-19T12:32:56.071Z" 2/19/2026, 12:32:56 PM
model"google/gemini-2.5-pro"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2849
moderation_latency(null)
generation_time31330
tokens_prompt1140
tokens_completion2697
native_tokens_prompt1042
native_tokens_completion3011
native_tokens_completion_images0
native_tokens_reasoning1596
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"STOP"
usage0.0314125
router(null)
provider_responses
0
endpoint_id"b261d15b-95ce-4c8c-8bce-00eb0dc1ff77"
is_byokfalse
latency2849
model_permaslug"google/gemini-2.5-pro"
provider_name"Google AI Studio"
status200
api_type"completions"
id"gen-1771504376-HDBpa3hY3MdM61rHuUbZ"
upstream_id(null)
total_cost0.0314125
cache_discount(null)
upstream_inference_cost0
provider_name"Google AI Studio"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags1
adverbTagCount0
adverbTags(empty)
dialogueSentences1
tagDensity1
leniency1
rawRatio0
effectiveRatio0
95.63% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1144
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)
21.33% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1144
totalAiIsms18
found
0
word"rhythmic"
count1
1
word"pounding"
count1
2
word"fleeting"
count1
3
word"stomach"
count1
4
word"scanned"
count2
5
word"glint"
count1
6
word"etched"
count1
7
word"echoing"
count1
8
word"profound"
count1
9
word"familiar"
count3
10
word"weight"
count1
11
word"footsteps"
count1
12
word"throbbed"
count1
13
word"pulsed"
count1
14
word"constructed"
count1
highlights
0"rhythmic"
1"pounding"
2"fleeting"
3"stomach"
4"scanned"
5"glint"
6"etched"
7"echoing"
8"profound"
9"familiar"
10"weight"
11"footsteps"
12"throbbed"
13"pulsed"
14"constructed"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"air was thick with"
count1
highlights
0"The air was thick with"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences91
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences91
filterMatches
0"watch"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences91
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen29
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1136
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions18
wordCount1135
uniqueNames11
maxNameDensity0.7
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Soho1
Harlow1
Quinn8
Raven1
Nest1
Camden-bound1
Tube1
London1
Morris1
Veil1
Market1
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Morris"
places
0"Soho"
1"London"
globalScore1
windowScore1
45.83% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences72
glossingSentenceCount3
matches
0"sounded like a ship's bellow in her ear as"
1"ablade that seemed to drink the light around it"
2"felt like the edge of that same abyss"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1136
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences91
matches(empty)
56.23% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs14
mean81.14
std28.14
cv0.347
sampleLengths
093
184
296
3101
489
581
689
767
889
917
10140
1165
1289
1336
85.98% Passive voice overuse
Target: ≤2% passive sentences
passiveCount5
totalSentences91
matches
0"been rusted"
1"was gone"
2"was etched"
3"were lit"
4"was taken"
86.36% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs176
matches
0"was losing"
1"was scrambling"
2"wasn't losing"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount0
flaggedSentences1
totalSentences91
ratio0.011
matches
0"But the image of her partner, Morris, flashed in her mind—his face pale and confused in the moments before he was taken by something she still couldn't explain."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1143
adjectiveStacks1
stackExamples
0"familiar long, black coat."
adverbCount19
adverbRatio0.016622922134733157
lyAdverbCount7
lyAdverbRatio0.006124234470691163
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences91
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences91
mean12.48
std7.01
cv0.562
sampleLengths
024
121
221
323
44
517
615
77
83
914
1014
1111
123
1318
149
1521
1610
1719
1819
193
2022
2113
228
2316
2415
256
2614
274
289
2910
303
3117
3212
3321
3417
3520
3622
3714
3822
393
409
4112
421
431
447
454
463
479
4812
496
39.01% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats10
diversityRatio0.2967032967032967
totalSentences91
uniqueOpeners27
38.31% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences87
matches
0"Then he bolted."
ratio0.011
36.09% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount40
totalSentences87
matches
0"Her gaze remained fixed on"
1"Her target was inside."
2"He paused under the awning,"
3"He had a head start,"
4"She hurdled a stack of"
5"Her movements were economical, honed"
6"He was fast."
7"He vaulted a low wall"
8"She landed with a jolt"
9"She was on a wider"
10"She could see the frantic,"
11"He was losing steam."
12"He cut sharply left, across"
13"She saw the gap between"
14"She sprinted, the world a"
15"She made it, her heart"
16"Its arched entrance was a"
17"He fumbled at his pocket,"
18"He was gone."
19"She shoved against the heavy"
ratio0.46
28.97% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount75
totalSentences87
matches
0"The rain fell on Soho"
1"Detective Harlow Quinn sat behind"
2"Her gaze remained fixed on"
3"Her target was inside."
4"The pub door swung open,"
5"A figure emerged, pulling the"
6"Quinn’s hands tightened on the"
7"That was him."
8"He paused under the awning,"
9"Quinn was out of the"
10"The air was cold and"
11"He had a head start,"
12"The smell of grease and"
13"She hurdled a stack of"
14"Her movements were economical, honed"
15"He was fast."
16"He vaulted a low wall"
17"She landed with a jolt"
18"She was on a wider"
19"The suspect weaved through the"
ratio0.862
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences87
matches(empty)
ratio0
88.95% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences53
technicalSentenceCount4
matches
0"Quinn was out of the car before the door finished slamming shut, her feet pounding the slick tarmac."
1"Her movements were economical, honed by years of drills and chases that ended in less forgiving places than this."
2"She wrenched it wider and slipped through into the darkness, the gate sliding shut behind her with a final, echoing clang that sealed her in."
3"She stood at the top of a spiral staircase that descended into profound blackness."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags1
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
80.5568%