Run: 2026-03-03-01KJTYKNGYBF2YYS84Z0TYWE59

Run Details

Duration:
6.2s
Cost:
$0.002256
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 smeared the neon glow of Soho into long, bleeding streaks against the asphalt. The temperature plummeted, turning breath into jagged plumes of gray frost. Harlow Quinn sprinted, her boots drumming a frantic rhythm against the slick cobblestones. Up ahead, the silhouette of a man swerved around a corner, his long coat snapping like a flag in the gale. She lunged, fingers scraping against the rough brick of an alleyway wall as she rounded the bend, eyes locked onto the retreating blur of movement. "Police! Stop where you are!" The command died in her throat, swallowed by the roar of transit traffic and the relentless drumming of rain against metal trash bins. The suspect didn't even turn his head. He vaulted over a rusted chain-link fence, landing with a heavy thud that echoed into the bowels of the city. Harlow reached the fence, her breath hitching in her ribcage. She didn't pause. She scaled the metal, the cold iron biting into her palms, and dropped into the gloom on the other side. He led her toward Camden, his pace relentless, weaving through the labyrinth of back alleys and abandoned construction sites. He didn't run like a common thief. He moved with a practiced, fluid economy, avoiding the puddles and the uneven debris. Harlow felt the weight of her holstered piece against her hip, a cold comfort in the damp night air. Three years in the force had taught her that suspects usually grew sloppy, breathless, panicked. This one was baiting her. They reached the outskirts of the disused Underground station. Steam coiled from the ventilation grates like spectral fingers, smelling of rot and ozone. The suspect vanished into the darkened maw of the station entrance, his shadow merging with the obsidian depths of the stairwell. Harlow skidded to a halt at the threshold. She tapped her wrist, her thumb grazing the worn leather of her watch. The ticking seemed unnaturally loud against the sudden, hollow silence of the station. She pulled a flashlight from her belt, the beam cutting a thick, solid path through the swirling dust. The stairs stretched downward, slick with black grease and grime. "I know you're down there, Herrera. Don't make this harder than it needs to be." There was no sound but the drip of water hitting a stagnant pool somewhere in the darkness. She took a step, then another. The air grew heavy, thick with the scent of metallic tang and charred herbs. This went deeper than the city’s plumbing. The architecture shifted, the familiar brickwork of the London Underground giving way to stone that looked carved rather than built, adorned with runes that seemed to writhe in the edge of her peripheral vision. She reached the landing. Before her, the station transformed. The defunct platforms were crammed with makeshift stalls draped in velvet and iron mesh. A violet haze hung over the area, pulsing with a faint, rhythmic heartbeat. This was the Veil Market—a ghost story she had dismissed as folklore until this very moment. To her left, a stall overflowed with shimmering, translucent vials, each corked with black wax. To her right, a figure sat hunched over a pile of human teeth, sorting them by size. The noise of the city above vanished, replaced by a low, dissonant humming that made her teeth ache. She scanned the crowd, looking for the familiar olive skin and the distinctive scar on the forearm. "Tommy! You can't disappear into this, the law doesn't stop at the surface!" "The law has no jurisdiction where the moon dictates the rent, Detective." The voice came from behind a stack of moth-eaten tapestries. Tomás Herrera stepped into the dim light of a floating lantern. His eyes remained fixed on her, warm brown and utterly devoid of fear. He adjusted the Saint Christopher medallion hanging from his neck, his fingers lingering on the cold metal. "You're past your depth, Harlow. Turn around. Forget you ever saw the subway stairs." "My partner died chasing a shadow just like you, Tomás. You think I’m walking away because it’s a little dark?" She stepped forward, her hand resting on her holster. A vendor nearby stopped his work, his gaze sharpening. The atmosphere grew brittle, energized, as if the air itself grew tired of their presence. Tomas stepped back, retreating toward a tunnel entrance that seemed to bleed darkness. "Morris didn't die because of a shadow, Detective. He died because he tried to solve the wrong equation. You're following his ghost into a trap." "I'm following the evidence. You treated those patients without a license, the ones who didn't exist on paper. You’re the bridge." "I’m a doctor. I heal what the world refuses to acknowledge. If you pull that weapon, you’ll find out exactly what kind of medicine is practiced down here." Harlow felt the temperature drop again, a visceral chill that seeped into her joints. She looked past him into the abyss of the tunnel. She knew the protocol. She knew the risks. She also knew that if she blinked, the trail vanished until the next moon. She locked eyes with him, ignoring the pressure building behind her temples. "I'm not leaving without you." "Then you’ve signed your own medical chart, Detective." He turned and bolted, his feet silent against the damp stone. Harlow didn't hesitate. She plunged into the tunnel after him, the darkness swallowing her, the exit behind her fading into a pinpoint of light. The walls seemed to narrow, the silence replaced by a chorus of whispers that had no origin. She ran, her heart hammering against her ribs, the scent of lavender and rot choking the air. The path split, a tangle of shifting tunnels and dead ends, and she saw him flick around a corner in the distance. She took the turn, sliding on a patch of moisture. She landed hard on one knee, breath forced from her lungs. She looked up, light flicking over her, and realized the path behind her had vanished, replaced by an unbroken wall of solid, unyielding granite. She surged to her feet, hand clenching the cool grip of the metal in her pocket, the weight of the station weighing down on her like a tomb. "Show yourself, Herrera!" The silence that answered was vast, cold, and entirely indifferent.
created_at"2026-03-03T22:55:26.763Z" 3/3/2026, 10:55:26 PM
model"google/gemini-3.1-flash-lite-preview-20260303"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency555
moderation_latency(null)
generation_time6120
tokens_prompt1140
tokens_completion1592
native_tokens_prompt1042
native_tokens_completion1330
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)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"STOP"
usage0.0022555
router(null)
provider_responses
0
endpoint_id"e004ce39-eb0c-4474-93d5-55072e725970"
is_byokfalse
latency555
model_permaslug"google/gemini-3.1-flash-lite-preview-20260303"
provider_name"Google AI Studio"
status200
api_type"completions"
id"gen-1772578526-QwTjKUSlrImYWvofdWYw"
upstream_id(null)
total_cost0.0022555
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
90.46% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1048
totalAiIsmAdverbs2
found
0
adverb"very"
count1
1
adverb"utterly"
count1
highlights
0"very"
1"utterly"
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)
18.89% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1048
totalAiIsms17
found
0
word"echoed"
count1
1
word"gloom"
count1
2
word"weight"
count2
3
word"spectral"
count1
4
word"maw"
count1
5
word"depths"
count1
6
word"silence"
count3
7
word"familiar"
count2
8
word"velvet"
count1
9
word"rhythmic"
count1
10
word"scanned"
count1
11
word"chill"
count1
12
word"clenching"
count1
highlights
0"echoed"
1"gloom"
2"weight"
3"spectral"
4"maw"
5"depths"
6"silence"
7"familiar"
8"velvet"
9"rhythmic"
10"scanned"
11"chill"
12"clenching"
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
narrationSentences64
matches(empty)
53.57% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount3
narrationSentences64
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)
analyzedSentences76
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen34
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1047
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
totalMentions17
wordCount878
uniqueNames11
maxNameDensity0.68
worstName"Harlow"
maxWindowNameDensity1.5
worstWindowName"Harlow"
discoveredNames
Soho1
Quinn1
Camden1
Underground2
London1
Veil1
Market1
Herrera1
Saint1
Christopher1
Harlow6
persons
0"Quinn"
1"Underground"
2"Herrera"
3"Saint"
4"Christopher"
5"Harlow"
places
0"Soho"
1"Camden"
2"London"
globalScore1
windowScore1
18.42% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences57
glossingSentenceCount3
matches
0"seemed unnaturally loud against the sudden, hollow silence of the station"
1"runes that seemed to writhe in the edge of her peripheral vision"
2"entrance that seemed to bleed darkness"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.955
wordCount1047
matches
0"no sound but"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences76
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs26
mean40.27
std29.07
cv0.722
sampleLengths
084
15
283
379
444
562
615
778
852
967
1013
1112
1251
1314
1420
1546
1625
1721
1828
1958
205
218
2291
2373
243
2510
99.78% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences64
matches
0"were crammed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs142
matches
0"was baiting"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount0
flaggedSentences1
totalSentences76
ratio0.013
matches
0"This was the Veil Market—a ghost story she had dismissed as folklore until this very moment."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount881
adjectiveStacks0
stackExamples(empty)
adverbCount17
adverbRatio0.019296254256526674
lyAdverbCount4
lyAdverbRatio0.004540295119182747
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences76
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences76
mean13.78
std6.5
cv0.472
sampleLengths
014
111
213
321
425
55
623
77
820
910
103
1120
1219
137
1414
1519
1615
175
189
1914
2021
218
2213
2313
2418
2510
2615
2717
286
2914
307
3134
324
335
3414
3513
3616
3715
3817
3918
4017
4113
4212
4310
4411
4513
4617
4714
4820
499
36.40% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats14
diversityRatio0.32894736842105265
totalSentences76
uniqueOpeners25
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences64
matches(empty)
ratio0
45.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount28
totalSentences64
matches
0"She lunged, fingers scraping against"
1"He vaulted over a rusted"
2"She didn't pause."
3"She scaled the metal, the"
4"He led her toward Camden,"
5"He didn't run like a"
6"He moved with a practiced,"
7"They reached the outskirts of"
8"She tapped her wrist, her"
9"She pulled a flashlight from"
10"She took a step, then"
11"She reached the landing."
12"She scanned the crowd, looking"
13"His eyes remained fixed on"
14"He adjusted the Saint Christopher"
15"She stepped forward, her hand"
16"She looked past him into"
17"She knew the protocol."
18"She knew the risks."
19"She also knew that if"
ratio0.438
6.88% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount58
totalSentences64
matches
0"Rain smeared the neon glow"
1"The temperature plummeted, turning breath"
2"Harlow Quinn sprinted, her boots"
3"She lunged, fingers scraping against"
4"The command died in her"
5"The suspect didn't even turn"
6"He vaulted over a rusted"
7"Harlow reached the fence, her"
8"She didn't pause."
9"She scaled the metal, the"
10"He led her toward Camden,"
11"He didn't run like a"
12"He moved with a practiced,"
13"Harlow felt the weight of"
14"This one was baiting her."
15"They reached the outskirts of"
16"Steam coiled from the ventilation"
17"The suspect vanished into the"
18"Harlow skidded to a halt"
19"She tapped her wrist, her"
ratio0.906
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount3
totalSentences64
matches
0"Before her, the station transformed."
1"To her left, a stall"
2"To her right, a figure"
ratio0.047
55.39% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences49
technicalSentenceCount6
matches
0"He vaulted over a rusted chain-link fence, landing with a heavy thud that echoed into the bowels of the city."
1"The architecture shifted, the familiar brickwork of the London Underground giving way to stone that looked carved rather than built, adorned with runes that see…"
2"He adjusted the Saint Christopher medallion hanging from his neck, his fingers lingering on the cold metal."
3"Harlow felt the temperature drop again, a visceral chill that seeped into her joints."
4"She ran, her heart hammering against her ribs, the scent of lavender and rot choking the air."
5"The silence that answered was vast, cold, and entirely indifferent."
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
80.8265%