Run: 2026-05-20-01KS25X0ASF199AM9QPTGYY3YA

Run Details

Duration:
11.7s
Cost:
$0.017306
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="4414" name="Eva Kowalski" aliases="Eva, Evie" pronouns="she/her" species="Human" storyRole="Best Friend"> <eyeColor>green</eyeColor> <hair>curly red</hair> <height>5'4"</height> <age>26</age> <glasses>round glasses</glasses> <satchel>worn leather satchel full of books</satchel> <freckles>freckled complexion</freckles> <nervousHabit>tucking hair behind her left ear</nervousHabit> <description>Aurora's childhood friend and an occult researcher.</description> <backstory>Moved to London two years before Aurora and works as a research assistant at the British Museum's restricted archives. She holds a master's degree in Ancient History from Oxford.</backstory> </character> <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> <item id="2004" name="Veil Compass" aliases="the Compass, shadow compass" type="Tool" origin="The Veil Market"> <casingMaterial>small brass compass</casingMaterial> <faceMarkings>face etched with protective sigils</faceMarkings> <needle>points toward the nearest supernatural rift or portal</needle> <patina>casing has a patina of verdigris</patina> <creator>crafted by a Shade artisan</creator> <description>A compass attuned to supernatural energy.</description> </item> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the mystery genre. A detective arrives at a crime scene in an unusual location. Something is wrong — the evidence doesn't add up. A colleague is present, offering a different interpretation. Through careful observation and deduction, the detective begins to see what others have missed. 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 dripped from a rusted pipe overhead, hitting the cracked Victorian tiling with a rhythmic, hollow metallic ping. Detective Harlow Quinn adjusted the collar of her wool coat against the subterranean draught. The air down here, in this disused branch of the Camden Underground, smelled of damp soot, copper, and something sweet that rotted just out of sight. Yellow police tape sliced across the tiled archway, its bright plastic glare casting synthetic shadows over the crumbling brickwork. Officer Miller stood by the barrier, his thumbs hooked into his tactical vest. He offered a tight, uneasy nod as Harlow approached, her boots echoing on the concrete. "Forensics are still twenty minutes out, Detective," Miller said, his breath pluming in the damp air. "The boys from the local division flagged it. They figured a vagrant crawled down from the street level to escape the sleet." Harlow stepped under the tape, her leather shoes finding purchase on the slick, grime-coated floor. She checked the worn leather watch on her left wrist. Three in the morning. The city above slept under a blanket of freezing rain, oblivious to the arteries of brick and iron beneath its feet. "They found him an hour ago," Miller continued, falling into step behind her. "No ID. Just a John Doe in expensive rags." Harlow didn't answer. She walked toward the center of the platform, where a single halogen work light cut through the gloom. The beam illuminated a body slumped against the curved wall of the tunnel. The man looked about forty. He wore a tailored charcoal overcoat, now ruined by grease and filth. His fingers, stiffened by rigor mortis, clawed at the air. "Open-and-shut mugging gone wrong," Miller said, gesturing with a gloved hand toward the victim's torn collar. "Pockets are clean. Watch is gone. Probably interrupted a drug deal or stumbled into the wrong camp. It’s a straight-line slip from the street-level grate." Harlow knelt beside the corpse, her joints pop-ping in the quiet of the tunnel. She didn't touch him yet. Her brown eyes swept over the scene, cataloging details with the cold precision of an appraiser. "Look at the knees, Miller." The officer frowned, leaning down. "What about them? He fell." "The knees of his trousers are immaculate," Harlow said, her finger hovering an inch above the fabric. "No grass stains from the street, no mud from the entrance shaft. If he crawled down here, or if he was dragged, there would be smears of coal dust. The soles of his shoes are clean too. Barely any wear." She leaned closer to the victim's face. The skin had a strange, translucent quality, almost like wax. His eyes were wide, the pupils blown to the edges of the iris, staring at the curved ceiling. "He didn't walk down here," Harlow murmured. "And he wasn't dragged." "Someone carried him?" Miller shrugged. "Strong bloke, then. Or two of them." "Look at the blood." Harlow pointed to a dark, neat pool beneath the man's left ear. "It’s stagnant. There's no arterial spray on the tiles behind him. The neck wound is deep, severing the carotid, but the blood flow didn't splatter the wall. His heart wasn't beating when he bled." Miller shifted his weight, the leather of his utility belt crunching. "So they killed him somewhere else and dumped him." "Where's the trail?" Harlow stood, turning in a slow circle. Her gaze scanned the platform, then locked onto a heavy, iron-reinforced wooden door set into the back wall of the station. A brass plaque, green with verdigris, hung crookedly from a single screw. "He didn't drop from the ceiling, Miller. If they brought a corpse down the main shaft, they’d leave a trail of disturbed moss and dust. The dust on these stairs is forty years deep and perfectly uniform." "Maybe they were careful." "Nobody is that careful in the dark." Harlow walked toward the iron-reinforced door. As she neared it, a faint vibration hummed through the soles of her shoes. It wasn't the rumble of the Northern Line; the frequency was too high, a frantic buzzing that made the fillings in her teeth ache. She reached out, her gloved hand hovering over the iron handle. "That's just an old maintenance locker, Ma'am," Miller said, his voice dropping a register. "We checked it. Locked tight. Lock's rusted shut from the inside." Harlow didn’t pull back. Her fingers brushed the iron. The metal felt blisteringly hot, despite the freezing underground draft. Her gaze traveled downward, stopping at the threshold. A tiny, glittering fragment lay wedged in the gap between the door and the stone floor. She knelt again, pulling a pair of tweezers from her pocket. She pinched the object and lifted it into the harsh halogen light. It was a small, curved piece of bone, no larger than a fingernail, polished smooth and etched with a delicate, geometric spiral. "What is that?" Miller asked. "A button?" "No." Harlow held it closer. The bone seemed to absorb the light rather than reflect it. A strange, metallic scent wafted from the fragment, similar to the ozone smell after a lightning strike. "This is a token." Three years ago, when DS Morris went missing, Harlow had found a similar piece of bone in the glove compartment of his abandoned patrol car. The official report called it a stray relic from an old burglary case. Harlow had never believed them. She slipped the bone fragment into a plastic evidence bag, her chest tightening with a familiar, cold determination. "Get the crowbar from the patrol car," Harlow ordered. "Detective, we should wait for forensics," Miller protested. "If we mess with the structure—" "Now, Miller." The officer hesitated, then turned and jogged back toward the stairs, his flashlight beam bouncing off the wet walls. Harlow stood alone in the silence. The dripping water seemed to slow, the intervals between the drops stretching. She looked back at the corpse. From this angle, she noticed something else. The victim's right hand wasn't clawing the air in terror. The fingers were curled around an invisible shape. Harlow knelt beside the hand, tilting her head. Beneath the fingernails was a sticky, dark substance. Not mud. It was a thick, black grease that smelled of burnt sugar. She reached into her inner coat pocket and pulled out a small brass compass she had recovered from a raid on an illegal antiquities dealer in Soho six months ago. She had never been able to get the needle to point north; it spun erratically, defying every law of physics. She held the compass over the dead man's palm. The needle steadied. It stopped spinning, trembling violently as it pointed directly at the iron-reinforced door. Harlow's thumb traced the protective sigils etched into the brass casing. The metal grew warm in her hand. The compass wasn't broken. It was pointing toward whatever lay behind that door. At the entry point of the Veil Market. The sound of footsteps echoed down the corridor, fast and light. It wasn't Miller’s heavy tread. Harlow quickly slipped the compass back into her pocket and stood, her hand instinctively dropping to the baton at her hip. A figure stepped into the halogen light. She was young, wearing a thick yellow raincoat that looked absurdly bright in the gloomy tunnel, her curly red hair damp from the sleet outside. A heavy, worn leather satchel hung across her shoulder, bulging with the corners of old books. The girl stopped short, her green eyes widening behind round glasses as she saw the police tape and the body. Her hand flew to her left ear, nervously tucking a stray red curl behind it. "Oh," the girl said, her voice small, echoing in the damp space. "I... I think I took a wrong turn."
created_at"2026-05-20T07:51:44.735Z" 5/20/2026, 7:51:44 AM
model"google/gemini-3.5-flash-20260519"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency791
moderation_latency(null)
generation_time11626
tokens_prompt1149
tokens_completion2001
native_tokens_prompt1073
native_tokens_completion1744
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"standard"
usage0.0173055
router(null)
provider_responses
0
endpoint_id"bd50061c-e1d8-469e-96b1-d322e77378f8"
id"EGgNavvwNZa__uMP29DIqQE"
is_byokfalse
latency790
model_permaslug"google/gemini-3.5-flash-20260519"
provider_name"Google AI Studio"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.15.0; linux; x64))"
http_referer(null)
request_id"req-1779263504-bJNnaLJL4K3acrBiay7c"
session_id(null)
api_type"completions"
id"gen-1779263504-Ip8uZ3gtlaVRKKyMUR1M"
upstream_id"EGgNavvwNZa__uMP29DIqQE"
total_cost0.0173055
cache_discount(null)
upstream_inference_cost0
provider_name"Google AI Studio"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags15
adverbTagCount0
adverbTags(empty)
dialogueSentences33
tagDensity0.455
leniency0.909
rawRatio0
effectiveRatio0
88.39% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1292
totalAiIsmAdverbs3
found
0
adverb"perfectly"
count1
1
adverb"quickly"
count1
2
adverb"nervously"
count1
highlights
0"perfectly"
1"quickly"
2"nervously"
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)
41.95% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1292
totalAiIsms15
found
0
word"rhythmic"
count1
1
word"synthetic"
count1
2
word"echoing"
count2
3
word"gloom"
count1
4
word"weight"
count1
5
word"scanned"
count1
6
word"etched"
count2
7
word"familiar"
count1
8
word"structure"
count1
9
word"silence"
count1
10
word"traced"
count1
11
word"footsteps"
count1
12
word"echoed"
count1
highlights
0"rhythmic"
1"synthetic"
2"echoing"
3"gloom"
4"weight"
5"scanned"
6"etched"
7"familiar"
8"structure"
9"silence"
10"traced"
11"footsteps"
12"echoed"
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
narrationSentences87
matches
0"r in terror"
93.60% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount2
narrationSentences87
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)
analyzedSentences105
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen40
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1292
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions9
unquotedAttributions0
matches(empty)
53.75% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions39
wordCount987
uniqueNames12
maxNameDensity1.93
worstName"Harlow"
maxWindowNameDensity3
worstWindowName"Harlow"
discoveredNames
Victorian1
Harlow19
Quinn1
Camden1
Underground1
Miller10
Northern1
Line1
Morris1
Soho1
Veil1
Market1
persons
0"Victorian"
1"Harlow"
2"Quinn"
3"Underground"
4"Miller"
5"Morris"
places
0"Soho"
globalScore0.537
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences69
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1292
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences105
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs48
mean26.92
std16.87
cv0.627
sampleLengths
018
140
247
338
450
522
634
727
841
935
105
1110
1257
1335
1411
1512
1650
1720
1880
194
2013
2138
2211
2325
2427
2516
2645
277
2837
2943
3018
319
3214
332
3419
3531
3610
3737
3850
399
4016
4139
4211
435
4421
4548
4635
4720
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences87
matches
0"were curled"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs162
matches
0"wasn't clawing"
1"was pointing"
88.44% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount2
flaggedSentences2
totalSentences105
ratio0.019
matches
0"It wasn't the rumble of the Northern Line; the frequency was too high, a frantic buzzing that made the fillings in her teeth ache."
1"She had never been able to get the needle to point north; it spun erratically, defying every law of physics."
88.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount992
adjectiveStacks2
stackExamples
0"rhythmic, hollow metallic ping."
1"slick, grime-coated floor."
adverbCount21
adverbRatio0.021169354838709676
lyAdverbCount10
lyAdverbRatio0.010080645161290322
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences105
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences105
mean12.3
std7.49
cv0.609
sampleLengths
018
114
226
319
413
515
616
722
815
910
104
1121
1213
139
143
1518
1613
175
1812
1910
2016
2125
2214
235
2416
255
265
275
2817
2940
307
3110
3218
337
344
355
367
3716
3834
3911
409
4110
4221
4312
4437
454
4613
4714
4824
4911
59.37% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.3904761904761905
totalSentences105
uniqueOpeners41
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences81
matches(empty)
ratio0
81.73% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount28
totalSentences81
matches
0"He offered a tight, uneasy"
1"She checked the worn leather"
2"She walked toward the center"
3"He wore a tailored charcoal"
4"His fingers, stiffened by rigor"
5"She didn't touch him yet."
6"Her brown eyes swept over"
7"She leaned closer to the"
8"His eyes were wide, the"
9"Her gaze scanned the platform,"
10"It wasn't the rumble of"
11"She reached out, her gloved"
12"Her fingers brushed the iron."
13"Her gaze traveled downward, stopping"
14"She knelt again, pulling a"
15"She pinched the object and"
16"It was a small, curved"
17"She slipped the bone fragment"
18"She looked back at the"
19"It was a thick, black"
ratio0.346
3.21% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount74
totalSentences81
matches
0"Water dripped from a rusted"
1"Detective Harlow Quinn adjusted the"
2"The air down here, in"
3"Officer Miller stood by the"
4"He offered a tight, uneasy"
5"Miller said, his breath pluming"
6"Harlow stepped under the tape,"
7"She checked the worn leather"
8"The city above slept under"
9"Miller continued, falling into step"
10"Harlow didn't answer."
11"She walked toward the center"
12"The beam illuminated a body"
13"The man looked about forty."
14"He wore a tailored charcoal"
15"His fingers, stiffened by rigor"
16"Miller said, gesturing with a"
17"Harlow knelt beside the corpse,"
18"She didn't touch him yet."
19"Her brown eyes swept over"
ratio0.914
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences81
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences47
technicalSentenceCount1
matches
0"She was young, wearing a thick yellow raincoat that looked absurdly bright in the gloomy tunnel, her curly red hair damp from the sleet outside."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags15
uselessAdditionCount4
matches
0"Miller said, his breath pluming in the damp air"
1"Harlow said, her finger hovering an inch above the fabric"
2"Miller said, his voice dropping a register"
3"the girl said, her voice small, echoing in the damp space"
28.79% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags10
fancyCount4
fancyTags
0"Miller continued (continue)"
1"Harlow murmured (murmur)"
2"Harlow ordered (order)"
3"Miller protested (protest)"
dialogueSentences33
tagDensity0.303
leniency0.606
rawRatio0.4
effectiveRatio0.242
77.5737%