Run: 2026-02-19-01KHTZ2RPJ41K6E49HVPGPGZG3

Run Details

Duration:
30.1s
Cost:
$0.027993
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 rat-grey sky wept over Soho. Rain slicked the pavement into a fractured mirror, distorting the lurid greens and reds of the neon signs. Detective Harlow Quinn’s coat, heavy with water, clung to her frame. Ahead, a figure broke from the muted flow of the crowd, his dark curls plastered to his forehead. Tomás Herrera. He glanced back, just a flicker of movement, but his brown eyes locked with hers across the street. The recognition was instant. A spark of panic. He bolted. Quinn pushed off the grimy wall, her worn boots finding purchase on the slick kerb. The chase was on. She vaulted a low barrier separating the pavement from the road, the impact jarring up her spine. A black cab swerved, its horn blaring a furious note into the night's cacophony. She ignored it, her focus narrowed to the back of Herrera's fleeing form. He was fast, weaving through the late-night revellers with a fluid grace that spoke of desperation. He dodged a stumbling couple, sideswiped a stack of overflowing bins, and disappeared down a narrow alley. Quinn followed without hesitation, her breath pluming in the damp air. The alley was a tight channel of brick and filth, the scent of stale beer and decay thick in her throat. Herrera's footsteps echoed off the walls, a frantic, splashing drumbeat. Quinn matched his rhythm, her long strides eating up the ground between them. She saw the scar on his left forearm as he used his hand to brace against a wall for a sharp turn. Her mind catalogued the detail, filing it away with the rest. Former paramedic. Off-the-books doctor to a very particular clique. The kind of people who left behind crime scenes that twisted in her gut and reminded her of Morris. The alley opened onto another street, a chaotic river of headlights and umbrellas. Herrera plunged into it, a ghost in the urban storm. Quinn pushed harder, the muscles in her legs burning. She shoved past a man holding a wilting newspaper over his head, earning a curse she didn't hear. Her world had shrunk to the space between her and Herrera. Nothing else mattered. The leather of her watch was slick against her wrist. It was Morris’s watch. She never took it off. He led her north, through the labyrinthine bleed between Soho and Camden. The streets grew less polished, the buildings taller and more severe. Herrera glanced over his shoulder again, his olive skin pale in the intermittent glare of streetlights. He was flagging. Good. Quinn felt the familiar, cold surge of adrenaline. She could run all night. Her body was a machine honed by eighteen years on the force, by discipline forged in places much worse than this. He ducked left, into the shadow of a railway bridge where the rain hammered onto corrugated iron with a deafening roar. Quinn followed him under, the sudden change in sound a punch to the ears. Graffiti covered every surface in a riot of colour and overlapping text. Herrera scrambled up a short, steep embankment of gravel and dirt, his hands slipping on the wet earth. He clawed his way to the top and vanished over the edge onto the tracks. Quinn swore, the word swallowed by the din. She took the embankment in three powerful strides, her fingers digging into the mud for purchase. She crested the top and landed lightly on the wooden sleepers between the rails. The tracks stretched into the darkness, two silver ribbons gleaming under the faint city glow. Herrera was a hundred yards ahead, a frantic silhouette against the gloom. Her radio crackled on her belt. She ignored it. No backup would get here in time. This was hers. The chase felt primal now. Away from the cars and the people, it was just the two of them, the rain, and the groan of old steel. Her lungs burned. Each breath was a sharp intake of cold, metallic air. Herrera was stumbling more often, his earlier agility worn down by raw fatigue. He risked another look back, his face a mask of exhaustion and terror. He veered off the main line, leaping down onto a service path that ran alongside a disused tunnel mouth. The entrance was a perfect black arch, sealed with a rusted iron gate festooned with chains and dead vines. A dead end. “Nowhere to go, Herrera.” Her voice was raw, cutting through the drumming rain. He didn't answer. He fumbled at the gate, his hands shaking. Quinn slowed her pace, her hand resting on the butt of her service weapon. She advanced cautiously, her footsteps crunching on the loose ballast. This was wrong. The air felt heavy, charged with something other than the storm. It was the same electric tang she remembered from that warehouse. The night Morris died. Herrera wasn't trying to break the lock. He reached into his jacket pocket and pulled out a small, pale object. It looked like a piece of carved bone, milky white in the gloom. He held it up to the centre of the gate, where a circular metal plate was set into the bars. For a moment, nothing happened. Then, a low hum resonated from the gate, and a faint, sickly green light pulsed from the bone in his hand. The chains slithered away from the gate like startled snakes, retracting into the brickwork. With a groan of tortured metal, the gate swung inward, opening onto absolute darkness. Herrera threw one last desperate look at her and plunged inside. The gate swung shut behind him with a final, echoing clang. The chains snaked back into place. Quinn stood frozen, rain plastering her salt-and-pepper hair to her scalp. She stared at the gate, her heart hammering against her ribs. She drew her weapon, the cold weight of the metal familiar in her hand. She approached the gate, pressing her face close to the bars. The air that seeped out was cold and smelled of damp earth, ozone, and something else. Something sweet and cloying, like overripe fruit and funeral flowers. From a street not far away, a siren wailed, a lonely sound that seemed to belong to another world. Her own world. The world of rules and explanations. Behind this gate was something else entirely. The same something that had taken her partner. She could call it in. Report a suspect evading arrest, last seen at a sealed Tube entrance. They would send a unit. They would find nothing. They would log it as another dead end. Another one of Quinn's hunches that went nowhere. Or she could follow him. She could step through that gate and into the place where the shadows had answers. Her radio crackled again, a garbled spit of static and a distant voice. She thumbed the switch, silencing it. The rain fell, relentless, washing the city clean, but it couldn't touch the wrongness of this place. Her knuckles were white where she gripped her pistol. Her jaw was a hard line of defiance. She stared into the suffocating blackness behind the iron bars, the hum of the city a forgotten memory.
created_at"2026-02-19T12:47:59.704Z" 2/19/2026, 12:47:59 PM
model"google/gemini-2.5-pro"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2841
moderation_latency(null)
generation_time30062
tokens_prompt1140
tokens_completion2498
native_tokens_prompt1042
native_tokens_completion2669
native_tokens_completion_images0
native_tokens_reasoning1188
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"
usage0.0279925
router(null)
provider_responses
0
endpoint_id"b261d15b-95ce-4c8c-8bce-00eb0dc1ff77"
is_byokfalse
latency2841
model_permaslug"google/gemini-2.5-pro"
provider_name"Google AI Studio"
status200
api_type"completions"
id"gen-1771505279-7PJBiLC8mwjEtRn2894g"
upstream_id(null)
total_cost0.0279925
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
totalTags0
87.43% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1193
totalAiIsmAdverbs3
found
0
adverb"very"
count1
1
adverb"lightly"
count1
2
adverb"cautiously"
count1
highlights
0"very"
1"lightly"
2"cautiously"
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)
20.37% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1193
totalAiIsms19
found
0
word"fractured"
count1
1
word"flicker"
count1
2
word"cacophony"
count1
3
word"footsteps"
count2
4
word"echoed"
count1
5
word"chaotic"
count1
6
word"familiar"
count2
7
word"gleaming"
count1
8
word"gloom"
count2
9
word"perfect"
count1
10
word"charged"
count1
11
word"electric"
count1
12
word"resonated"
count1
13
word"pulsed"
count1
14
word"echoing"
count1
15
word"weight"
count1
highlights
0"fractured"
1"flicker"
2"cacophony"
3"footsteps"
4"echoed"
5"chaotic"
6"familiar"
7"gleaming"
8"gloom"
9"perfect"
10"charged"
11"electric"
12"resonated"
13"pulsed"
14"echoing"
15"weight"
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
emotionTells1
narrationSentences110
matches
0"A spark of panic"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences110
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)
analyzedSentences110
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen22
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1187
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions1
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions30
wordCount1183
uniqueNames7
maxNameDensity0.93
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Soho2
Harlow1
Quinn11
Herrera11
Morris3
Camden1
Tube1
persons
0"Harlow"
1"Quinn"
2"Herrera"
3"Morris"
places
0"Soho"
globalScore1
windowScore1
90.48% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences84
glossingSentenceCount2
matches
0"looked like a piece of carved bone, milky"
1"sound that seemed to belong to another world"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1187
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences110
matches(empty)
55.45% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs20
mean59.35
std20.42
cv0.344
sampleLengths
055
128
263
388
461
583
677
780
865
919
1066
1141
1213
1364
1479
1556
1673
1743
1862
1971
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences110
matches(empty)
83.72% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs172
matches
0"was flagging"
1"was stumbling"
2"wasn't trying"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences110
ratio0
matches(empty)
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1189
adjectiveStacks1
stackExamples
0"faint, sickly green light pulsed"
adverbCount25
adverbRatio0.021026072329688814
lyAdverbCount5
lyAdverbRatio0.004205214465937763
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences110
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences110
mean10.79
std5.54
cv0.513
sampleLengths
06
118
211
318
42
518
64
74
82
915
104
1117
1214
1313
1416
1517
1611
1721
1810
1913
2022
2111
222
237
2419
2513
2610
279
2818
2911
303
3110
324
335
3412
3511
3616
373
381
398
405
4121
4221
4314
4412
4518
4615
478
4816
4914
40.00% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats11
diversityRatio0.2909090909090909
totalSentences110
uniqueOpeners32
62.89% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences106
matches
0"Away from the cars and"
1"Then, a low hum resonated"
ratio0.019
46.42% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount46
totalSentences106
matches
0"He glanced back, just a"
1"She vaulted a low barrier"
2"She ignored it, her focus"
3"He was fast, weaving through"
4"He dodged a stumbling couple,"
5"She saw the scar on"
6"Her mind catalogued the detail,"
7"She shoved past a man"
8"Her world had shrunk to"
9"It was Morris’s watch."
10"She never took it off."
11"He led her north, through"
12"He was flagging."
13"She could run all night."
14"Her body was a machine"
15"He ducked left, into the"
16"He clawed his way to"
17"She took the embankment in"
18"She crested the top and"
19"Her radio crackled on her"
ratio0.434
11.89% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount95
totalSentences106
matches
0"The rat-grey sky wept over"
1"Rain slicked the pavement into"
2"Detective Harlow Quinn’s coat, heavy"
3"He glanced back, just a"
4"The recognition was instant."
5"A spark of panic."
6"Quinn pushed off the grimy"
7"The chase was on."
8"She vaulted a low barrier"
9"A black cab swerved, its"
10"She ignored it, her focus"
11"He was fast, weaving through"
12"He dodged a stumbling couple,"
13"Quinn followed without hesitation, her"
14"The alley was a tight"
15"Herrera's footsteps echoed off the"
16"Quinn matched his rhythm, her"
17"She saw the scar on"
18"Her mind catalogued the detail,"
19"The kind of people who"
ratio0.896
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences106
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences65
technicalSentenceCount3
matches
0"He was fast, weaving through the late-night revellers with a fluid grace that spoke of desperation."
1"The kind of people who left behind crime scenes that twisted in her gut and reminded her of Morris."
2"He veered off the main line, leaping down onto a service path that ran alongside a disused tunnel mouth."
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
83.0880%