Run: 2026-07-25-01KYCV92JEV81PEAMJAR5HHYNJ

Run Details

Duration:
5.3s
Cost:
$0.002502
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
Rain slicked the tiles of the abandoned Camden Underground station. Detective Harlow Quinn stepped past the yellow police tape, boots crunching on glass and plaster. A rusted turnstile hung by one hinge. Below, the platform stretched into darkness, lit only by the harsh glare of crime scene lamps. Her partner, Inspector Vance, stood over the body sprawled near the dead tracks. Vance nudged a worn leather satchel with the toe of his shoe. Another junkie OD. Fentanyl-laced crap, no doubt. The underground tunnels are full of them lately. Quinn knelt beside the victim. Curly red hair fanned out across the soot-stained concrete. Round glasses lay shattered a few feet away. A freckled complexion, stark white against the grey grime. Eva Kowalski. The archivist from the British Museum. Look at the arms. Zero track marks. No foam at the mouth. Vance crossed his arms, the nylon of his jacket whispering. Needles aren't the only way. Could be a swallowed baggie. Stomach contents will tell us. Quinn ignored him, fingers hovering over the cold flesh of Eva’s wrist. A worn leather watch sat on the opposite wrist, its face cracked. The second hand ticked, perfectly operational, despite the corpse possessing no pulse. No decomposition either, yet the air smelled of ozone and ancient dust, like copper pennies left in the rain. Stomach acid burns the throat. Smell that? Vance sniffed the air, wrinkling his nose. Damp concrete and sewer gas. Standard tube station rot. Ozone. Quinn tapped the side of Eva’s satchel. It bulged with heavy, square shapes. Unzipped it. Bound volumes tumbled out, leather-bound manuscripts with singed edges. Not standard reading material for a vagrant. Vance checked his notebook, pencil poised. Museum employee. Probably stole some rare texts, got high over her loot, heart gave out in the damp. Case closed. Quinn stood up, towering over Vance by three inches. Her sharp jaw set into a hard line. A trained historian does not stash Camden archive parchment in an abandoned Tube tunnel at midnight. She walked the perimeter of the platform, eyes scanning the curved brick walls. Scorch marks scarred the masonry behind the bench. Deep, circular burns. No soot trails leading to them. Just localized heat intense enough to bake the mortar. Vance followed her, boot heels clicking against the concrete. You are hunting ghosts again, Harlow. Ever since Morris bought it, you see conspiracies in every alley. Quinn pointed a gloved finger at the scorch marks. Paint doesn't blister like that from a stray cigarette. And look at the tracks. Vance sighed, walking to the rail edge. Iron rails. Covered in rust. So what? Run your thumb along the inside edge of the third rail. Vance crouched, dragging a leather-gloved finger down the rusted steel. He pulled his hand back fast, wiping his palm on his thigh. It’s warm. Hot, actually. Power hasn’t run through these lines since the sixties. Quinn paced back to the body, kneeling once more beside the dead archivist. She reached into Eva’s coat pocket, extracting a small brass object. A casing of verdigris-stained metal. Sigils etched into the face. The needle spun wildly, ignoring magnetic north, trembling toward the black tunnel entrance leading deeper into the earth. Not a standard overdose. Quinn flipped the brass casing in her palm. Someone dragged her down here, or she ran. But she didn't die of a weak heart. Vance pulled out his radio, keying the mic with a heavy thumb. I will call the coroner, get the meat wagon down here. We bag the books, log the trinket into evidence. Leave the compass. Quinn slipped the brass tool into her own coat pocket. Harlow, that is tampering. That is the only piece of the puzzle that makes sense. Quinn stood, brushing ash from her knees. The rest of this scene is a very expensive lie.
created_at"2026-07-25T14:36:13.786Z" 7/25/2026, 2:36:13 PM
model"google/gemini-3.5-flash-lite-20260721"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency266
moderation_latency(null)
generation_time5285
tokens_prompt1112
tokens_completion979
native_tokens_prompt1073
native_tokens_completion872
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"
usage0.0025019
router(null)
provider_responses
0
endpoint_id"6bd8f433-79e1-416c-b407-1772eb796c9a"
id"3clkaqvQMpOb-8YPuJ6h2Qk"
is_byokfalse
latency266
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-1784990173-ljXdCphGJ9VYkTLvEGf3"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784990173-47BZWx87Tthg4lmHKO2t"
upstream_id"3clkaqvQMpOb-8YPuJ6h2Qk"
total_cost0.0025019
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
84.33% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount638
totalAiIsmAdverbs2
found
0
adverb"perfectly"
count1
1
adverb"very"
count1
highlights
0"perfectly"
1"very"
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)
13.79% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount638
totalAiIsms11
found
0
word"shattered"
count1
1
word"stark"
count1
2
word"stomach"
count2
3
word"pulse"
count1
4
word"standard"
count3
5
word"scanning"
count1
6
word"etched"
count1
7
word"magnetic"
count1
highlights
0"shattered"
1"stark"
2"stomach"
3"pulse"
4"standard"
5"scanning"
6"etched"
7"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
narrationSentences83
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences83
filterMatches
0"watch"
1"see"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences83
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen19
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords638
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions0
unquotedAttributions0
matches(empty)
71.63% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions37
wordCount638
uniqueNames12
maxNameDensity1.57
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Vance"
discoveredNames
Camden2
Underground1
Harlow3
Quinn10
Inspector1
Vance10
Kowalski1
British1
Museum2
Eva4
Tube1
Morris1
persons
0"Harlow"
1"Quinn"
2"Inspector"
3"Vance"
4"Kowalski"
5"Eva"
6"Morris"
places
0"British"
globalScore0.716
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences53
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount638
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences83
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs25
mean25.52
std13.35
cv0.523
sampleLengths
048
125
215
339
412
525
655
77
816
932
1026
1133
1239
1326
1423
1514
1611
1722
1813
1952
2028
2132
2213
234
2428
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences83
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs105
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences83
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount643
adjectiveStacks0
stackExamples(empty)
adverbCount17
adverbRatio0.026438569206842923
lyAdverbCount9
lyAdverbRatio0.013996889580093312
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences83
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences83
mean7.69
std4.1
cv0.533
sampleLengths
010
115
27
316
413
512
63
74
88
95
109
118
129
132
146
154
163
175
1810
195
205
215
2212
2312
2412
2519
265
272
287
295
304
311
327
336
342
359
367
376
382
3916
402
419
428
4316
4413
458
463
476
489
499
100.00% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats0
diversityRatio0.6385542168674698
totalSentences83
uniqueOpeners53
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences73
matches
0"Probably stole some rare texts,"
1"Just localized heat intense enough"
2"Ever since Morris bought it,"
ratio0.041
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount9
totalSentences73
matches
0"Her partner, Inspector Vance, stood"
1"It bulged with heavy, square"
2"Her sharp jaw set into"
3"She walked the perimeter of"
4"You are hunting ghosts again,"
5"He pulled his hand back"
6"She reached into Eva’s coat"
7"I will call the coroner,"
8"We bag the books, log"
ratio0.123
100.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount48
totalSentences73
matches
0"Rain slicked the tiles of"
1"Detective Harlow Quinn stepped past"
2"A rusted turnstile hung by"
3"Her partner, Inspector Vance, stood"
4"Vance nudged a worn leather"
5"Another junkie OD."
6"The underground tunnels are full"
7"Quinn knelt beside the victim."
8"A freckled complexion, stark white"
9"The archivist from the British"
10"Vance crossed his arms, the"
11"Needles aren't the only way."
12"Stomach contents will tell us."
13"Quinn ignored him, fingers hovering"
14"A worn leather watch sat"
15"The second hand ticked, perfectly"
16"Stomach acid burns the throat."
17"Vance sniffed the air, wrinkling"
18"Quinn tapped the side of"
19"It bulged with heavy, square"
ratio0.658
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences73
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences27
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
92.3250%