Run: 2026-07-25-01KYCY5DQVN88K0T1Z5HNA1H2T

Run Details

Duration:
2.8s
Cost:
$0.001538
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="4417" name="Tomás Herrera" aliases="Tommy, Tomás, Herrera" pronouns="he/him" species="Human" storyRole="Support"> <eyeColor>warm brown</eyeColor> <hair>short curly dark brown</hair> <height>5'10"</height> <age>29</age> <skinTone>olive skin</skinTone> <scar>scar running along his left forearm from a knife attack</scar> <medallion>Saint Christopher medallion around his neck</medallion> <birthplace>Seville, Spain</birthplace> <description>A former paramedic who provides off-the-books medical care for the clique.</description> <backstory>Born in Seville, Spain. He moved to London to work for the NHS but lost his license after administering unauthorized treatments to supernatural patients.</backstory> </character> <location id="854" name="The Raven's Nest" aliases="the Nest, Raven, Silas' bar" realm="Earth"> <signColor>distinctive green neon sign above the entrance</signColor> <secretRoom>hidden back room accessible through a bookshelf, used for clandestine meetings</secretRoom> <description>A dimly lit bar in Soho, London. The walls are covered with old maps and black-and-white photographs.</description> </location> <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> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the thriller genre. A detective is pursuing a suspect through rain-soaked city streets at night. The chase takes them from the street level down into an underground market. The detective must decide whether to follow the suspect into unfamiliar and potentially dangerous territory. 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 asphalt across Camden High Street, turning the glare of neon store signs into distorted streaks of crimson and amber. Heavy boots slammed against the pavement. Detective Harlow Quinn adjusted her grip on the wet steel of her flashlight, her breath pluming in the damp air. Fifty yards ahead, a dark figure vaulted a rusted chain-link fence, disappearing toward the shuttered entrance of the disused underground station. Water soaked through the shoulders of her trench coat, chilling skin already slick with sweat. The silhouette dropped into the stairwell leading down to the platform tunnels. Harlow closed the distance, her leather-soled shoes sliding on slick concrete as she plunged down the steep steps. Darkness swallowed the light from the street above. The air tasted of stagnant water, ozone, and copper. She clicked the flashlight beam into the void, catching the glint of damp rail tracks stretching into absolute blackness. A heavy iron gate barred the tunnel entrance, its padlock snapped clean through. Harlow ducked beneath the rusted iron bars, stepping past the threshold into the abandoned subterranean network. Her boots crunched over shattered glass and decaying ticket stubs. Ahead, faint, pulsing blue lanterns cast long, crawling shadows against the curved tile walls of the platform. Murmurs echoed through the damp air, sounding like a dozen voices whispering simultaneously in languages she did not recognize. She rounded a concrete pillar, stopping dead. The derelict Underground station transformed into a bustling subterranean bazaar. Stalls constructed from rusted scaffolding and tarpaulins stretched along the tracks. Creatures with skin the color of bruised plums and eyes reflecting yellow light traded glass vials, cured pelts, and glowing trinkets across wooden crates. The sweet, cloying stench of burning myrrh choked the damp air. At the far end of the cavernous platform, a cloaked figure pressed a carved bone token into the palm of a vendor with segmented insect limbs, sliding through a narrow archway carved into the tunnel wall. Harlow gripped the butt of her Glock holstered beneath her coat. The tunnel beyond the archway dropped downward into total pitch, illuminated only by a faint, sickly green glow emanating from deeper within the earth. No Metropolitan Police radio signal penetrated this depth. The heavy silence of the lower tunnels pressed against her eardrums, broken only by the distant, rhythmic dripping of subterranean water.
created_at"2026-07-25T15:26:39.878Z" 7/25/2026, 3:26:39 PM
model"google/gemini-3.5-flash-lite-20260721"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency267
moderation_latency(null)
generation_time2746
tokens_prompt1104
tokens_completion635
native_tokens_prompt1042
native_tokens_completion490
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"
usage0.0015376
router(null)
provider_responses
0
endpoint_id"6bd8f433-79e1-416c-b407-1772eb796c9a"
id"r9VkavuEOL2LjrEP4ZK3sA0"
is_byokfalse
latency267
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-1784993199-oIF5yL2i8rSI5bTgCqeZ"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784993199-bXwuti3grRhwQMCEP47E"
upstream_id"r9VkavuEOL2LjrEP4ZK3sA0"
total_cost0.0015376
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
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount388
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)
9.79% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount388
totalAiIsms7
found
0
word"chilling"
count1
1
word"glint"
count1
2
word"shattered"
count1
3
word"echoed"
count1
4
word"constructed"
count1
5
word"silence"
count1
6
word"rhythmic"
count1
highlights
0"chilling"
1"glint"
2"shattered"
3"echoed"
4"constructed"
5"silence"
6"rhythmic"
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
narrationSentences25
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences25
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences25
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen36
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords388
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions0
unquotedAttributions0
matches(empty)
98.45% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions12
wordCount388
uniqueNames9
maxNameDensity1.03
worstName"Harlow"
maxWindowNameDensity1.5
worstWindowName"Harlow"
discoveredNames
Camden1
High1
Street1
Harlow4
Quinn1
Underground1
Glock1
Metropolitan1
Police1
persons
0"Harlow"
1"Quinn"
2"Glock"
places
0"Camden"
1"High"
2"Street"
globalScore0.985
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences25
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount388
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences25
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs10
mean38.8
std23.63
cv0.609
sampleLengths
069
115
212
354
413
562
67
756
836
964
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences25
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs59
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences25
ratio0
matches(empty)
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount390
adjectiveStacks1
stackExamples
0"faint, sickly green glow"
adverbCount5
adverbRatio0.01282051282051282
lyAdverbCount4
lyAdverbRatio0.010256410256410256
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences25
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences25
mean15.52
std6.87
cv0.442
sampleLengths
022
16
220
321
415
512
618
78
89
919
1013
1116
1210
1317
1419
157
1610
1711
1824
1911
2036
2111
2224
238
2421
100.00% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats0
diversityRatio0.68
totalSentences25
uniqueOpeners17
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences25
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount3
totalSentences25
matches
0"She clicked the flashlight beam"
1"Her boots crunched over shattered"
2"She rounded a concrete pillar,"
ratio0.12
60.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount20
totalSentences25
matches
0"Rain slicked the asphalt across"
1"Detective Harlow Quinn adjusted her"
2"Water soaked through the shoulders"
3"The silhouette dropped into the"
4"Harlow closed the distance, her"
5"Darkness swallowed the light from"
6"The air tasted of stagnant"
7"She clicked the flashlight beam"
8"A heavy iron gate barred"
9"Harlow ducked beneath the rusted"
10"Her boots crunched over shattered"
11"Murmurs echoed through the damp"
12"She rounded a concrete pillar,"
13"The derelict Underground station transformed"
14"Stalls constructed from rusted scaffolding"
15"Creatures with skin the color"
16"The sweet, cloying stench of"
17"Harlow gripped the butt of"
18"The tunnel beyond the archway"
19"The heavy silence of the"
ratio0.8
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences25
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences20
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
88.7416%