Run: 2026-02-19-01KHVP9N7Y1YPE8TETN7WEVMXM

Run Details

Duration:
60.0s
Cost:
$0.066464
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 slashed the Camden cobblestones. Water poured from the canvas awnings of closed market stalls, turning the narrow alleys into slick, treacherous ravines. Detective Harlow Quinn ignored the cold seeping through her wool coat. She kept her brown eyes locked on the figure darting through the shadows ahead, maintaining a relentless, driving pace. Eighteen years of service in the Metropolitan Police ingrained a military precision into her stride. She moved with rigid efficiency, her boots landing flat and hard against the wet pavement, avoiding the deepest puddles, cutting corners sharp tight against the brickwork. Water flattened her closely cropped salt-and-pepper hair against her scalp. She checked the worn leather watch on her left wrist without breaking stride. Midnight. The full moon remained hidden behind a thick blanket of storm clouds, leaving the labyrinth of the market illuminated only by flickering halogen security lights. Ahead of her, Tomás Herrera moved with desperate speed. His boots slapped the mud. He hurdled a discarded wooden pallet, slipped on the landing, and slammed his shoulder into a brick wall. He pushed off immediately. Under the harsh glare of a streetlamp, the rain plastered his short curly dark brown hair to his forehead. His olive skin shone with a mixture of rainwater and sweat. Quinn closed the distance. The chase had started two hours ago in Soho. She had planted herself across the street from The Raven's Nest. The bar's distinctive green neon sign had cast an acidic glow over the puddles. Through the rain-streaked windows, she had observed the interior, noting the old maps and faded black-and-white photographs plastered across the walls. She had watched Herrera approach the bookshelf, slide a heavy tome aside, and vanish into the hidden back room. When he finally emerged and slipped out the rear fire exit, she followed him north to Camden. She knew his file. Born in Seville, Spain. Former NHS paramedic. Stripped of his license after an investigation uncovered unauthorized, bizarre medical treatments administered to patients with unexplainable ailments. Herrera ducked into a dead-end alley cluttered with industrial dumpsters beneath a rusted railway bridge. He hit the chain-link fence at the rear, fingers hooking into the metal diamonds. Quinn drew her weapon and stepped under the archway of the bridge. Her sharp jaw set. She kept the muzzle of her Glock lowered but ready. No more running, Herrera. Turn around. Herrera froze against the fence. He let go of the wire. He turned slowly. His chest heaved. A heavy silver St. Christopher medallion swung from his neck, catching the faint light. He raised his hands. As his wet jacket sleeve retreated, a jagged white scar on his left forearm stood stark against his skin—the remnant of a knife attack he refused to explain to the local constabulary. You need to step back, Detective. You lack the context for this pursuit. Put your hands on your head and interlock your fingers. Herrera backed toward the shadow of a massive industrial dumpster. His warm brown eyes darted. He calculated the distance between them, analyzing the geometry of the tight space. My patients require care. Medical care your hospitals cannot provide. I leave now, or people die. You lost your license for malpractice. You operate an unlicensed clinic for a criminal syndicate. Hands on your head. He lunged sideways. He grabbed the release lever of the industrial dumpster and hauled it down. The massive metal bin tipped forward. A cascade of rotting vegetables, glass bottles, and stagnant black water flooded the alley floor between them. Quinn vaulted backward. Glass shattered against her boots. Herrera used the distraction. He scrambled over the top of the fallen dumpster, vaulted the chain-link fence, and dropped into the deep trench of the railway embankment on the other side. Quinn holstered her weapon. She scaled the fence in three fluid motions, swinging her legs over the top of the wire and dropping into the mud below. Herrera sprinted along the tracks. He veered right, disappearing into the mouth of an abandoned Tube station. Iron gates rusted into a perpetual open maw commanded the entrance. Faded enamel signs pointed into absolute blackness. Quinn halted at the threshold. Cold air rushed up from the subterranean depths. It carried an unnatural chill. It smelled of ozone, copper, and damp earth. A sharp spike of adrenaline pierced her chest. Three years ago, she had followed DS Morris into a similar darkness. They had tracked a murder suspect into an abandoned subterranean reservoir. She remembered the metallic stench of the air. She remembered the impossible shadows stretching across the wet concrete. She remembered Morris bleeding out from wounds no human weapon could inflict, tearing his throat out while the perpetrator dissolved into mist. The official report cited an animal attack. Quinn knew the truth hid in the spaces between the lines. She gripped the textured handle of her sidearm. She stepped into the descent. The transition erased the ambient sounds of the city. The rain faded into a muffled hum, replaced by the rhythmic dripping of water deep within the station. Broken escalators stretched down into the abyss, locked in place by decades of rust. Quinn descended the metal steps. Her rubber soles made no sound. At the bottom of the escalator shaft, the tunnel opened into a wide, vaulted concourse. Phosphorescent fungi clung to the cracked ceramic tiles lining the walls, casting a sickly pale blue light over the platform. Herrera stood at the far end of the concourse. A massive iron bulkhead blocked the tunnel. A hulking figure draped in a patchwork leather coat stood in front of the door. Quinn pressed her back against a tiled pillar. She observed. The entity blocking the door leaned forward. The hood fell back, revealing a face devoid of eyes, covered entirely in thick, rippling scar tissue down to a lipless mouth. Full moon tonight, flesh-mender. The market lies below. Present the toll. Herrera unzipped the breast pocket of his jacket. He withdrew a long, carved object. A bone token. I require passage to the apothecary stalls. The guardians huge hands closed over the bone token. The air pressure in the concourse dropped. The iron bulkhead groaned, sliding upward on rusted tracks. A cacophony of sound spilled from the gap. The Veil Market revealed itself. Dozens of makeshift stalls constructed from scavenged train parts and glowing crystal lined the platform of the buried tunnel. Patrons in elaborate robes and tattered modern street clothes bartered over glass vials filled with swirling luminescent liquids. Smoke in unnatural shades of violet and crimson drifted through the air. The scent of roasted meat mixed with burning sulfur. Herrera adjusted his collar. He stepped under the heavy iron door and vanished into the bustling crowd of the supernatural black market. The guardian gripped the release lever, preparing to seal the bulkhead. Quinn stood motionless behind the pillar. Her breathing slowed. The hum of the unnatural energy vibrating through the underground station rattled her teeth. Every instinct screamed at her to retreat, to return to the surface, to call for backup that would never arrive. This place operated under different laws. A single misstep here meant suffering the same fate as DS Morris. She thumbed the safety off her Glock. She tightened her grip on the grip until her knuckles turned white. She stepped away from the pillar, leaving the shadows behind, and walked directly toward the closing iron door.
created_at"2026-02-19T19:33:42.621Z" 2/19/2026, 7:33:42 PM
model"google/gemini-3.1-pro-preview-20260219"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3268
moderation_latency(null)
generation_time59867
tokens_prompt1140
tokens_completion3544
native_tokens_prompt1042
native_tokens_completion5365
native_tokens_completion_images0
native_tokens_reasoning3806
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"
usage0.066464
router(null)
provider_responses
0
endpoint_id"2abf5677-0826-45d9-8470-3d62c31d54a1"
is_byokfalse
latency3268
model_permaslug"google/gemini-3.1-pro-preview-20260219"
provider_name"Google AI Studio"
status200
api_type"completions"
id"gen-1771529622-wEduGmDLQPmuRQjyhSPI"
upstream_id(null)
total_cost0.066464
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
95.98% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1244
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)
51.77% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1244
totalAiIsms12
found
0
word"treacherous"
count1
1
word"stark"
count1
2
word"calculated"
count1
3
word"shattered"
count1
4
word"maw"
count1
5
word"depths"
count1
6
word"chill"
count1
7
word"rhythmic"
count1
8
word"hulking"
count1
9
word"cacophony"
count1
10
word"constructed"
count1
11
word"crystal"
count1
highlights
0"treacherous"
1"stark"
2"calculated"
3"shattered"
4"maw"
5"depths"
6"chill"
7"rhythmic"
8"hulking"
9"cacophony"
10"constructed"
11"crystal"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"knuckles turned white"
count1
highlights
0"knuckles turned white"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences124
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences124
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences124
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen33
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1234
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions0
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions47
wordCount1234
uniqueNames20
maxNameDensity0.89
worstName"Herrera"
maxWindowNameDensity2
worstWindowName"Herrera"
discoveredNames
Camden2
Harlow1
Quinn10
Metropolitan1
Police1
Tomás1
Herrera11
Soho1
Raven1
Nest1
Seville1
Spain1
Glock2
St1
Detective2
Tube1
Morris3
Veil1
Market1
You4
persons
0"Harlow"
1"Quinn"
2"Police"
3"Tomás"
4"Herrera"
5"Glock"
6"Morris"
7"Market"
8"You"
places
0"Metropolitan"
1"Soho"
2"Raven"
3"Seville"
4"Spain"
5"St"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences87
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1234
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences124
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs35
mean35.26
std27.3
cv0.774
sampleLengths
094
149
266
3124
429
526
66
767
813
910
1028
1116
1219
1339
148
1531
1627
1735
1826
1989
2013
2152
2235
2331
2410
2529
2611
2717
287
2925
3071
3122
3211
3361
3437
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences124
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs202
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount0
flaggedSentences1
totalSentences124
ratio0.008
matches
0"As his wet jacket sleeve retreated, a jagged white scar on his left forearm stood stark against his skin—the remnant of a knife attack he refused to explain to the local constabulary."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1244
adjectiveStacks1
stackExamples
0"unauthorized, bizarre medical treatments"
adverbCount19
adverbRatio0.01527331189710611
lyAdverbCount9
lyAdverbRatio0.007234726688102894
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences124
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences124
mean9.95
std6.23
cv0.626
sampleLengths
05
118
211
319
415
526
610
713
81
925
109
115
1218
134
1419
1511
164
179
1811
1914
2021
2119
2217
234
244
253
2618
2715
2814
2912
304
3110
324
332
345
356
363
373
384
3910
404
4132
426
437
4410
4510
465
4713
484
496
50.27% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats16
diversityRatio0.3790322580645161
totalSentences124
uniqueOpeners47
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences121
matches(empty)
ratio0
67.93% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount46
totalSentences121
matches
0"She kept her brown eyes"
1"She moved with rigid efficiency,"
2"She checked the worn leather"
3"His boots slapped the mud."
4"He hurdled a discarded wooden"
5"He pushed off immediately."
6"His olive skin shone with"
7"She had planted herself across"
8"She had watched Herrera approach"
9"She knew his file."
10"He hit the chain-link fence"
11"Her sharp jaw set."
12"She kept the muzzle of"
13"He let go of the"
14"He turned slowly."
15"His chest heaved."
16"He raised his hands."
17"You need to step back,"
18"You lack the context for"
19"His warm brown eyes darted."
ratio0.38
46.78% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount100
totalSentences121
matches
0"Rain slashed the Camden cobblestones."
1"Water poured from the canvas"
2"Detective Harlow Quinn ignored the"
3"She kept her brown eyes"
4"She moved with rigid efficiency,"
5"Water flattened her closely cropped"
6"She checked the worn leather"
7"The full moon remained hidden"
8"His boots slapped the mud."
9"He hurdled a discarded wooden"
10"He pushed off immediately."
11"His olive skin shone with"
12"Quinn closed the distance."
13"The chase had started two"
14"She had planted herself across"
15"The bar's distinctive green neon"
16"She had watched Herrera approach"
17"She knew his file."
18"Herrera ducked into a dead-end"
19"He hit the chain-link fence"
ratio0.826
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences121
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences53
technicalSentenceCount0
matches(empty)
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
86.8910%