Run: 2026-09-03-01M1KRTKQP6ER0DSVY58GQE2PE

Run Details

Duration:
14.2s
Cost:
$0.010461
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
Damp soot and copper hung heavy in the air below Camden High Street. Harlow Quinn ducked beneath the rusted iron lintel of the sealed access shaft, stepping onto the abandoned track bed of the disused underground branch. Water dripped from cracked Victorian brickwork, ticking rhythmically against the metal ties. Floodlights hummed, casting harsh white beams across the curved tunnel walls and cutting through decades of undisturbed subterranean dust. Her left wrist rotated by reflex. The worn leather strap of her watch dug into her skin: half past two in the morning. "Mind the third rail, Harlow. Power's dead, but the damp makes everything bite." Detective Sergeant Craig Miller stood ten paces ahead on the concrete platform, holding a portable halogen lamp over a crumpled overcoat. "Forensics is still bagging up near the old ticket hall. I figured you'd want the first look at the main event." Quinn walked the wooden ties, her boots crunching into the dry ballast. Her jaw tightened as she took in the perimeter. The platform belonged to a station sealed during the Blitz, yet no thick layer of grime coated the tiles near the center. Instead, clean rectangular voids marked the floor where tables or stalls had stood hours before. The air carried a faint, sweet tang of burnt sage and sulfur, sharp enough to mask the usual London rot. "Three perimeter grates locked from the street," Miller said, sweeping his light across the victim. "Padlocks intact. Chains uncut. We're looking at squatters with a grudge. Found him wedged between the platform edge and the rail bed." Quinn stepped up to the edge of the platform and crouched, balancing on the balls of her feet. Her closely cropped salt-and-pepper hair caught the harsh glare of the work light. The victim lay on his back, eyes fixed on the vaulted ceiling. Frost glazed his open collar and the lapels of his heavy wool coat. "Squatters don't carry bespoke tailoring, Craig." Quinn leaned closer, examining the man's chest. "Look at the stitch work on the collar. Hand-sewn silk lining. No wallet, no phone, no keys." "Muggers took the valuables and dumped him down the ventilation shaft." Miller tapped his pen against his spiral notepad. "Classic disposal. Fight breaks out over a dead-drop or a bad batch of street gear, somebody pulls a blade, body goes down the hole." "Look at the wound." Quinn pointed a gloved index finger at the center of the chest. A clean, circular puncture pierced the fabric and the sternum beneath. "There is no blood on the wool." Miller frowned, leaning his bulky frame over the platform edge. "Internal hemorrhaging. Bled out into the thoracic cavity." "Without a single drop soaking the weave of a wool-blend coat?" Quinn shook her head. "A puncture through the ribcage tears arterial tissue. Blood pools outward before the heart ceases pumping. The edges of this fabric are cauterized. Not by heat—by cold. Look at the perimeter of the hole." Fine white ice crystals clung to the jagged edges of the severed thread. Quinn extended her hand, hovering her bare palm an inch above the corpse. The air radiated a deep, winter chill that made the hair on her arms stand up. The temperature in the tunnel hovered around twelve degrees Celsius, yet her breath plumed white directly over the torso. "He died somewhere else," Miller insisted. "Carried down here in a refrigerated van, then pushed through the maintenance intake." "The maintenance shaft is twelve inches wide," Quinn said, standing to her full height. Her posture remained rigid, squared to the tunnel axis. "A child couldn't slip through without stripping skin against the corrugated steel. Show me the drag marks." Miller shone his halogen beam across the concrete apron. Dust coated the far side of the platform, gray and thick as flour, but the track bed around them showed only their own fresh boot impressions. "They swept behind themselves," Miller muttered. "Criminals get smart." "They swept forty yards of ballast without shifting a single stone?" Quinn stepped off the platform, walking the line where the tiles met the iron track. "They took the time to broom the air?" She stopped near a rusted emergency telephone box bolted to the wall. At foot level, a small scatter of white shards caught the floodlight. Quinn knelt, withdrawing a pair of stainless steel tweezers from her coat pocket. She pinched one of the fragments and lifted it to the light. It was not porcelain or limestone. The curve was distinctly organic, polished smooth on one side and notched along the edge with seven deliberate grooves. "Bone," Quinn said. "Could be chicken wings from last week's vagrants," Miller said, coming up behind her. "Carved bovine rib. Look at the fracture. Snapped under pressure, not dropped. Like an admission token broken in half upon entry." Quinn turned the fragment over. A faint violet residue stained the fractured edge. The scent returned—cold iron, ozone, and ash. Memory struck without warning: an alley behind St. Jude’s three years ago, the rain washing over DS Morris’s empty trench coat, the exact same scent lingering in a doorway where no physical body remained. Her fingers tightened around the tweezers until the metal dug through the latex. "You're seeing ghosts again, Harlow," Miller said softly. "I know this place feels off. Old tunnels play tricks with acoustics and draft lines. But a body is a body. We treat it like an illicit gathering gone violent. Some ravers found a way in, took too much ketamine, had a dispute, and cleared out." "Ravers don't dismantle entire trading stalls in thirty minutes without leaving tire tracks or pallet splintering." Quinn pointed to the rectangular voids on the platform. "Look at the dust boundaries. The lines are sharp. The objects resting there were heavy enough to compress the lime residue over decades, yet they vanished without scraping the floor. No drag lines. No dolly wheels." She moved past him, following the subtle draft toward the tunnel's dark throat where the Northern line had been bricked off in 1940. The air grew thinner, tasting of cold pennies and dry paper. "Quinn, wait for the secondary lighting team," Miller called out, his boots crunching hesitantly on the gravel. "The structural integrity past the signal box hasn't been certified." Quinn ignored him, drawing her penlight from her pocket. The narrow beam cut the gloom, reflecting off the rail steel. Ten yards into the darkness, between two rotted timber ties, a dull greenish gleam broke through the gravel. She crouched, brushing aside the loose stones. Her fingers closed around a circular brass casing, roughly two inches in diameter. The metal felt heavy, layered with a thick patina of verdigris that spoke to age and dampness. Sigils, deep and intricate, were cut into the rim, circling a glass face that had cracked straight across the diameter. Beneath the shattered glass, a blackened steel needle did not point north. It spun in slow, deliberate rotations, stopping every few seconds to shudder toward the solid brick wall at the tunnel's dead end. "What did you find?" Miller's heavy steps echoed off the low ceiling as he caught up. Quinn closed her fingers over the brass casing, slipping it into her deep coat pocket before rising. Her expression remained flat, her jaw set like stone. "A dropped component from whoever cleared the room," Quinn said, stepping back toward the lit platform. "Call the coroner. Tell them we need the thoracic cavity opened before sunrise, and tell them to bring thermal imaging for the tissue analysis." "They'll laugh us out of the room if we ask for a cryogenic protocol on a tube station stabbing," Miller said, shaking his head. "Let them laugh," Quinn said, stepping past him toward the service ladder. "Then make them measure the frost on his ribs."
created_at"2026-09-03T13:55:09.182Z" 9/3/2026, 1:55:09 PM
model"google/gemini-3.7-flash-20260813"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1582
moderation_latency(null)
generation_time14078
tokens_prompt1112
tokens_completion2187
native_tokens_prompt1073
native_tokens_completion2575
native_tokens_completion_images0
native_tokens_reasoning899
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"default"
usage0.010461
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788443709-oMiuiGQ6cROETSoeXWZW"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788443709-Gltqwy3mQiyJj7O1ZuKT"
upstream_id"PXyZao2lFb2j1MkPt7md4QI"
provider_responses
0
endpoint_id"dd072012-3274-417d-97e3-e290cba37e31"
id"PXyZao2lFb2j1MkPt7md4QI"
is_byokfalse
latency1578
model_permaslug"google/gemini-3.7-flash-20260813"
provider_name"Google AI Studio"
status200
total_cost0.010461
cache_discount(null)
upstream_inference_cost0
provider_name"Google AI Studio"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags20
adverbTagCount1
adverbTags
0"Miller said softly [softly]"
dialogueSentences36
tagDensity0.556
leniency1
rawRatio0.05
effectiveRatio0.05
92.32% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1302
totalAiIsmAdverbs2
found
0
adverb"softly"
count1
1
adverb"hesitantly"
count1
highlights
0"softly"
1"hesitantly"
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)
65.44% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1302
totalAiIsms9
found
0
word"silk"
count1
1
word"pumping"
count1
2
word"chill"
count1
3
word"porcelain"
count1
4
word"fractured"
count1
5
word"gloom"
count1
6
word"intricate"
count1
7
word"shattered"
count1
8
word"echoed"
count1
highlights
0"silk"
1"pumping"
2"chill"
3"porcelain"
4"fractured"
5"gloom"
6"intricate"
7"shattered"
8"echoed"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"hung in the air"
count1
highlights
0"hung heavy in the air"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences68
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences68
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences84
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen46
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1300
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions13
unquotedAttributions0
matches(empty)
47.71% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions42
wordCount831
uniqueNames15
maxNameDensity2.05
worstName"Quinn"
maxWindowNameDensity3
worstWindowName"Quinn"
discoveredNames
Camden1
High1
Street1
Quinn17
Victorian1
Sergeant1
Craig1
Miller12
Blitz1
London1
Fine1
Celsius1
St1
Morris1
Northern1
persons
0"Quinn"
1"Sergeant"
2"Craig"
3"Miller"
4"Morris"
places
0"Camden"
1"High"
2"Street"
3"London"
4"St"
globalScore0.477
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences61
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1300
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences84
matches(empty)
89.08% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs35
mean37.14
std17.15
cv0.462
sampleLengths
068
123
255
378
437
556
630
743
834
918
1049
1161
1219
1340
1435
159
1634
1749
1825
193
2014
2141
2247
2354
2461
2534
2627
2738
2857
2934
3016
3126
3240
3324
3421
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences68
matches
0"been bricked"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs136
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount0
flaggedSentences1
totalSentences84
ratio0.012
matches
0"The scent returned—cold iron, ozone, and ash."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount834
adjectiveStacks0
stackExamples(empty)
adverbCount16
adverbRatio0.019184652278177457
lyAdverbCount8
lyAdverbRatio0.009592326139088728
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences84
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences84
mean15.48
std7.64
cv0.493
sampleLengths
013
124
212
319
46
517
634
721
812
99
1022
1115
1220
1315
1422
1518
1613
1712
1813
1913
2017
2119
2224
2316
2411
257
2610
278
2815
2934
3013
3113
3216
3319
346
3513
3614
379
3817
399
4026
416
423
4326
448
4512
4612
4713
4812
496
88.89% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.5476190476190477
totalSentences84
uniqueOpeners46
51.28% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences65
matches
0"Instead, clean rectangular voids marked"
ratio0.015
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount13
totalSentences65
matches
0"Her left wrist rotated by"
1"Her jaw tightened as she"
2"Her closely cropped salt-and-pepper hair"
3"Her posture remained rigid, squared"
4"She stopped near a rusted"
5"She pinched one of the"
6"It was not porcelain or"
7"Her fingers tightened around the"
8"She moved past him, following"
9"She crouched, brushing aside the"
10"Her fingers closed around a"
11"It spun in slow, deliberate"
12"Her expression remained flat, her"
ratio0.2
13.85% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount58
totalSentences65
matches
0"Harlow Quinn ducked beneath the"
1"Water dripped from cracked Victorian"
2"Floodlights hummed, casting harsh white"
3"Her left wrist rotated by"
4"The worn leather strap of"
5"Detective Sergeant Craig Miller stood"
6"Quinn walked the wooden ties,"
7"Her jaw tightened as she"
8"The platform belonged to a"
9"The air carried a faint,"
10"Miller said, sweeping his light"
11"Quinn stepped up to the"
12"Her closely cropped salt-and-pepper hair"
13"The victim lay on his"
14"Frost glazed his open collar"
15"Quinn leaned closer, examining the"
16"Miller tapped his pen against"
17"Quinn pointed a gloved index"
18"A clean, circular puncture pierced"
19"Miller frowned, leaning his bulky"
ratio0.892
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences65
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences37
technicalSentenceCount1
matches
0"The metal felt heavy, layered with a thick patina of verdigris that spoke to age and dampness."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags20
uselessAdditionCount1
matches
0"Miller called out, his boots crunching hesitantly on the gravel"
66.67% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags11
fancyCount3
fancyTags
0"Miller insisted (insist)"
1"Miller muttered (mutter)"
2"Miller called out (call out)"
dialogueSentences36
tagDensity0.306
leniency0.611
rawRatio0.273
effectiveRatio0.167
87.1744%