Run: 2026-07-25-01KYCVXGKDG3T32BS3HHM26VC9

Run Details

Duration:
4.8s
Cost:
$0.002342
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
Heavy dampness clung to the abandoned brickwork beneath Camden. Condensation dripped from rusted iron beams overhead, striking the stagnant puddle below with rhythmic metallic pings. Detective Harlow Quinn stepped past the tattered yellow police tape blocking the defunct station entrance. Her boots crunched over shattered porcelain tiles and old train schedules. A flashlight beam cut through the gloom, bouncing off oxidized copper rails and deep shadows. The brass watch on her left wrist ticked against her pulse. Eighteen years on the force taught her the scent of iron and copper, but this air carried something else—ozone and scorched wool. Forensics officers crouched around a scorched patch of ballast near the platform edge. No blood pooled on the concrete. No signs of a blunt instrument or firearm discharge. Just a charred circle spanning three feet across the wooden sleepers, smelling faintly of burnt sage. A junior constable named Vance straightened his back as the detective approached, wiping sweat from his forehead with a gloved thumb. The ground is completely fused, almost like vitrified sand from a lightning strike. Quinn knelt beside the scorch mark, her fingers brushing the blistering edge of a wooden sleeper. The grain curled upward instead of splintering downward, defying the physics of any standard explosive device. Look at the scorch pattern. It radiates outward from a vacuum point, not an epicenter. Vance checked his notebook, flipping a soggy page with a wet snap. Electrical substation blew a transformer down the line two hours ago. Power surge traveled up the old maintenance conduit and arced right here on the tracks. Clean and simple. Quinn traced the edge of the ash with her gloved knuckle, feeling the unnatural smoothness of the melted stone. Transformers blow outward, scorching surrounding walls and ceilings in a conical spray. Look up. The roof tiles are pristine, untouched by heat or soot. Vance shoved his hands deep into his coat pockets, shifting his weight between boots. Heat rises vertically in these tunnels. Drafts probably carried the plume straight up without touching the masonry. Quinn stood, her sharp jaw tightening as she scanned the perimeter of the platform. A faint green luminescence caught her eye near the base of a cast-iron support pillar. She crouched again, unhooking her pocket knife from her belt. She scraped a tiny sliver of the glowing residue onto the flat of the blade. Transformers do not leave phosphorescent copper salts behind, nor do they carve perfect geometric runes into the ballast. Vance sighed, exhaling a cloud of mist into the chilly air. Stress makes ghosts out of shadows, Harlow. We found no prints, no forced entry, and no missing persons reported in this sector. Quinn rose to her full height, her brown eyes narrowing at the entrance tunnel leading deeper into the disused underground labyrinth. She pocketed the knife and the green residue. The transit authority logs show this station was sealed in nineteen-eighty-four with reinforced concrete blocks. Someone removed those blocks from the inside, stacked them neatly against the far wall, and replaced them afterward. Vance frowned, dropping his notebook back into his pocket. Contractors repairing municipal water pipes. They use these old lines for access. Water pipes run thirty feet above us, following the modern Northern Line, not this abandoned spur. Someone went out of their way to build a threshold down here. Quinn walked toward the dark mouth of the tunnel, her hand resting near the butt of her service weapon. The air grew suddenly colder, dropping ten degrees in a single stride. You chase phantoms on every case since Morris died. Quinn didn't turn around, keeping her eyes fixed on the black void swallowing the rails ahead. Morris understood that the city has a second map, one the borough surveyors refuse to draw.
created_at"2026-07-25T14:47:23.517Z" 7/25/2026, 2:47:23 PM
model"google/gemini-3.5-flash-lite-20260721"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency392
moderation_latency(null)
generation_time4706
tokens_prompt1112
tokens_completion1000
native_tokens_prompt1073
native_tokens_completion808
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"
usage0.0023419
router(null)
provider_responses
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endpoint_id"6bd8f433-79e1-416c-b407-1772eb796c9a"
id"e8xkauWoJOvR-8YPqISsqAo"
is_byokfalse
latency392
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-1784990843-TBlNmD4fL6bPhF40S9vj"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784990843-DTjL9IHiUO0dXGG5MTlM"
upstream_id"e8xkauWoJOvR-8YPqISsqAo"
total_cost0.0023419
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
totalTags0
84.08% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount628
totalAiIsmAdverbs2
found
0
adverb"completely"
count1
1
adverb"suddenly"
count1
highlights
0"completely"
1"suddenly"
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)
12.42% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount628
totalAiIsms11
found
0
word"rhythmic"
count1
1
word"shattered"
count1
2
word"porcelain"
count1
3
word"gloom"
count1
4
word"pulse"
count1
5
word"standard"
count1
6
word"traced"
count1
7
word"pristine"
count1
8
word"weight"
count1
9
word"scanned"
count1
10
word"perfect"
count1
highlights
0"rhythmic"
1"shattered"
2"porcelain"
3"gloom"
4"pulse"
5"standard"
6"traced"
7"pristine"
8"weight"
9"scanned"
10"perfect"
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
narrationSentences50
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences50
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences50
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen23
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords627
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions0
unquotedAttributions0
matches(empty)
94.18% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions19
wordCount627
uniqueNames7
maxNameDensity1.12
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Camden1
Harlow2
Quinn7
Vance5
Northern1
Line1
Morris2
persons
0"Harlow"
1"Quinn"
2"Vance"
3"Morris"
places(empty)
globalScore0.942
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences46
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount627
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences50
matches
0"understood that the"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs27
mean23.22
std12.01
cv0.517
sampleLengths
051
115
233
344
421
513
632
715
812
929
1019
1124
1214
1317
1454
1518
1611
1722
1829
1933
209
2112
2228
2331
249
2516
2616
98.25% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences50
matches
0"was sealed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs98
matches(empty)
85.71% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount0
flaggedSentences1
totalSentences50
ratio0.02
matches
0"Eighteen years on the force taught her the scent of iron and copper, but this air carried something else—ozone and scorched wool."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount631
adjectiveStacks0
stackExamples(empty)
adverbCount15
adverbRatio0.02377179080824089
lyAdverbCount7
lyAdverbRatio0.011093502377179081
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences50
echoCount0
echoWords(empty)
87.73% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences50
mean12.54
std4.63
cv0.369
sampleLengths
09
116
215
311
415
511
622
713
86
99
1016
1121
1213
1316
1416
155
1610
1712
1811
1915
203
2119
2212
232
2410
2514
266
2711
2814
2915
3010
3115
3218
3311
347
3515
3621
378
3815
3918
409
415
427
4316
4412
4519
4612
479
4816
4916
92.67% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.58
totalSentences50
uniqueOpeners29
68.03% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences49
matches
0"Just a charred circle spanning"
ratio0.02
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount8
totalSentences49
matches
0"Her boots crunched over shattered"
1"It radiates outward from a"
2"She crouched again, unhooking her"
3"She scraped a tiny sliver"
4"We found no prints, no"
5"She pocketed the knife and"
6"They use these old lines"
7"You chase phantoms on every"
ratio0.163
51.84% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount40
totalSentences49
matches
0"Condensation dripped from rusted iron"
1"Detective Harlow Quinn stepped past"
2"Her boots crunched over shattered"
3"A flashlight beam cut through"
4"The brass watch on her"
5"Forensics officers crouched around a"
6"A junior constable named Vance"
7"The ground is completely fused,"
8"Quinn knelt beside the scorch"
9"The grain curled upward instead"
10"It radiates outward from a"
11"Vance checked his notebook, flipping"
12"Power surge traveled up the"
13"Quinn traced the edge of"
14"Transformers blow outward, scorching surrounding"
15"The roof tiles are pristine,"
16"Vance shoved his hands deep"
17"Drafts probably carried the plume"
18"Quinn stood, her sharp jaw"
19"A faint green luminescence caught"
ratio0.816
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences49
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences37
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
89.1631%