Run: 2026-07-25-01KYCSETMRCM98AWKGH0CTE9CX

Run Details

Duration:
5.1s
Cost:
$0.002549
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 concrete sweat chilled the air of the disused Camden platform. Detective Harlow Quinn stepped past the heavy yellow police tape, her boots crunching on glass and rusted iron. Salt-and-pepper hair cropped close to her skull, she scanned the defunct Tube tracks stretching into absolute dark. A worn leather watch on her left wrist ticked against her pulse. Eighteen years on the force taught her the language of violence, but this platform spoke a dialect she lacked. A uniform pointed toward the center of the tracks. "Body dropped an hour ago. Transit workers found him." Quinn approached the rail. The victim lay sprawled across the wooden ties, limbs twisted at impossible angles. No blood pooled beneath him. His clothes bore thick layers of gray grime peculiar to abandoned subterranean tunnels, yet his skin remained unnaturally pale and pristine. Sergeant Miller crouched beside the corpse, his pencil tapping against a notebook. "Standard overdose," Miller announced without looking up. "Junky crawled down here, hit a bad vein, rolled onto the rails." Quinn narrowed her eyes, studying the lack of needle tracks on the exposed arms. "Look at the hands, Miller." Miller sighed, shifting his weight. "Tremors. Happens when the withdrawal sets in hard." "His fingernails are packed with red clay," Quinn countered, kneeling to bring her face inches from the victim's palm. "Camden has gray limestone and soot. This soil came from somewhere else." Miller grunted, waving a hand dismissively. "Found a baggie in his pocket. Fentanyl-laced powder. Open and shut." Quinn reached out, her gloved fingers brushing the hem of the dead man's heavy wool coat. A faint, sweet scent rose from the fabric—ozone and crushed mint. Fentanyl smelled like nothing. "He didn't crawl down the stairs," Quinn said, her voice dropping an octave. "The transit gates at street level remain welded shut with rust. Nobody breached them tonight." Miller stood up, joints cracking in the damp chill. "Maintenance door on the north side is busted open. Kids sneak down here to drink." Quinn rose to her full height, her sharp jaw tightening. She walked past Miller toward the tunnel wall, sweeping her flashlight beam across the curved brickwork. Graffiti covered every square inch of surface except for a distinct three-foot radius directly above the corpse. "Explain the missing paint," Quinn demanded. Miller blinked, squinting at the clean brick. "Acid wash? Vagrants clean up their spots sometimes." "Paint doesn't vanish because someone scrubs it. The soot is gone too. The wall breathes." Quinn pressed her bare palm against the cold brick. A low vibration thrummed through her fingertips, matching the erratic rhythm of her watch. "The air pressure here dropped ten millibars in the last minute. Feel it in your ears." Miller swallowed hard, rubbing his neck. "Just the ventilation shafts acting up. The station sits right below the Northern Line." "The Northern Line stopped running an hour before midnight," Quinn snapped. She traced the edge of the clean brick circle with her thumb, finding faint, scorched grooves carved into the mortar. Not graffiti. Sigils. The same strange geometric markings she cataloged in her dead partner's case files three years ago. "He fell from the ceiling, Miller. Not the street." Miller scoffed, stepping closer to the tracks. "Gravity pulls down, Quinn. People fall down." "Not when something opens beneath them," Quinn said, drawing her service weapon. The metallic click echoed off the curved ceiling. "Check his pockets again. Actually check them." Miller hesitated, then knelt beside the corpse. He plunged a hand into the deep wool pocket of the dead man's coat. His fingers emerged clutching a small brass compass with a patina of verdigris, its face etched with protective markings. The needle inside spun wildly, ignoring magnetic north entirely, pointing straight up toward the vaulted darkness of the tunnel roof. "What is this junk?" Miller muttered, dropping the brass object into an evidence bag with shaking fingers. "Evidence," Quinn whispered, staring up into the blackness where the station roof dissolved into the earth.
created_at"2026-07-25T14:04:25.122Z" 7/25/2026, 2:04:25 PM
model"google/gemini-3.5-flash-lite-20260721"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency344
moderation_latency(null)
generation_time5048
tokens_prompt1112
tokens_completion1062
native_tokens_prompt1073
native_tokens_completion891
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"default"
usage0.0025494
router(null)
provider_responses
0
endpoint_id"6bd8f433-79e1-416c-b407-1772eb796c9a"
id"acJkarDEDMii_uMP7bvJ-Q4"
is_byokfalse
latency343
model_permaslug"google/gemini-3.5-flash-lite-20260721"
provider_name"Google AI Studio"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1784988265-oNlCBBww82vi1R0sR75h"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784988265-1L9RP6gjPA4I38qgpRYU"
upstream_id"acJkarDEDMii_uMP7bvJ-Q4"
total_cost0.0025494
cache_discount(null)
upstream_inference_cost0
provider_name"Google AI Studio"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags9
adverbTagCount0
adverbTags(empty)
dialogueSentences23
tagDensity0.391
leniency0.783
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount664
totalAiIsmAdverbs0
found(empty)
highlights(empty)
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)
9.64% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount664
totalAiIsms12
found
0
word"chilled"
count1
1
word"scanned"
count1
2
word"pulse"
count1
3
word"pristine"
count1
4
word"standard"
count1
5
word"weight"
count1
6
word"chill"
count1
7
word"traced"
count1
8
word"cataloged"
count1
9
word"echoed"
count1
10
word"etched"
count1
11
word"magnetic"
count1
highlights
0"chilled"
1"scanned"
2"pulse"
3"pristine"
4"standard"
5"weight"
6"chill"
7"traced"
8"cataloged"
9"echoed"
10"etched"
11"magnetic"
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
narrationSentences43
matches(empty)
76.41% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences43
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences57
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen24
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords663
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions6
unquotedAttributions0
matches(empty)
19.85% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions26
wordCount461
uniqueNames5
maxNameDensity2.6
worstName"Quinn"
maxWindowNameDensity4
worstWindowName"Quinn"
discoveredNames
Camden1
Harlow1
Quinn12
Tube1
Miller11
persons
0"Harlow"
1"Quinn"
2"Tube"
3"Miller"
places(empty)
globalScore0.198
windowScore0.333
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences34
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount663
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences57
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs25
mean26.52
std18.76
cv0.707
sampleLengths
077
19
29
343
412
519
614
75
813
931
1017
1131
1228
1324
1443
156
1615
1754
1820
1959
2014
2127
2260
2317
2416
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences43
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs81
matches(empty)
92.73% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount0
flaggedSentences1
totalSentences57
ratio0.018
matches
0"A faint, sweet scent rose from the fabric—ozone and crushed mint."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount465
adjectiveStacks1
stackExamples
0"same strange geometric markings"
adverbCount9
adverbRatio0.01935483870967742
lyAdverbCount5
lyAdverbRatio0.010752688172043012
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences57
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences57
mean11.63
std5.24
cv0.451
sampleLengths
011
118
217
312
419
59
69
74
813
95
1021
1112
127
1312
1414
155
165
178
1819
1912
206
2111
2216
2311
244
2513
2615
279
2815
2910
3016
3117
326
337
348
3524
3614
3716
386
3914
4011
4120
422
431
4416
459
467
477
4812
498
96.49% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats0
diversityRatio0.5789473684210527
totalSentences57
uniqueOpeners33
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences39
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount5
totalSentences39
matches
0"His clothes bore thick layers"
1"She walked past Miller toward"
2"She traced the edge of"
3"He plunged a hand into"
4"His fingers emerged clutching a"
ratio0.128
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount36
totalSentences39
matches
0"Detective Harlow Quinn stepped past"
1"Salt-and-pepper hair cropped close to"
2"A worn leather watch on"
3"A uniform pointed toward the"
4"Quinn approached the rail."
5"The victim lay sprawled across"
6"His clothes bore thick layers"
7"Sergeant Miller crouched beside the"
8"Miller announced without looking up"
9"Quinn narrowed her eyes, studying"
10"Miller sighed, shifting his weight."
11"Quinn countered, kneeling to bring"
12"Miller grunted, waving a hand"
13"Quinn reached out, her gloved"
14"A faint, sweet scent rose"
15"Fentanyl smelled like nothing."
16"Quinn said, her voice dropping"
17"Miller stood up, joints cracking"
18"Quinn rose to her full"
19"She walked past Miller toward"
ratio0.923
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences39
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences20
technicalSentenceCount0
matches(empty)
13.89% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags9
uselessAdditionCount2
matches
0"Quinn countered, kneeling to bring her face inches from the victim's palm"
1"Quinn said, her voice dropping an octave"
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags8
fancyCount6
fancyTags
0"Miller announced (announce)"
1"Quinn demanded (demand)"
2"Quinn pressed (press)"
3"Quinn snapped (snap)"
4"Miller muttered (mutter)"
5"Quinn whispered (whisper)"
dialogueSentences23
tagDensity0.348
leniency0.696
rawRatio0.75
effectiveRatio0.522
76.7670%