Run: 2026-07-25-01KYCW58N4RJXGQ9VEMKYRM256

Run Details

Duration:
3.6s
Cost:
$0.001300
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 of Camden High Street, turning the sodium lights into jagged smears of amber and rust. Detective Harlow Quinn adjusted the collar of her trench coat, water soaking through the wool as she tracked the fleeing figure ahead. The runner cut sharply between two idling delivery vans, boots splashing through oil-slicked puddles. Harlow pushed off the curb, leg muscles burning from the sustained sprint. A worn leather watch on her left wrist scraped against the damp fabric of her sleeve as she pumped her arms, eyes locked on the dark jacket vanishing down a concrete stairwell. Metal railings bit into Harlow's palm as she descended three flights of stairs two at a time. The air shifted, heavy with the scent of ozone, damp earth, and roasted cardamom. A rusted iron gate hung half-off its hinges, marking the threshold of the abandoned Underground station. Shadows stretched long across tiled walls caked in decades of soot and peeling greasepaint advertisements. The runner slipped through a narrow gap in a plywood hoarding blocking the old ticket barrier. Harlow cleared the barrier in a vault, boots hitting the platform with bone-rattling force. Farther down the tracks, glowing emerald light spilled from an arched tunnel entrance, casting erratic patterns against the curved ceiling. A crowd milled beneath the flickering neon sign bolted to the brickwork above the tunnel mouth. Figures wrapped in heavy cloaks and mismatched modern streetwear traded glass vials and bundles wrapped in greasy brown paper. Low murmurs echoed off the vaulted roof, blending with the rhythmic drip of subterranean water. Harlow reached the edge of the market, hand hovering over the Glock holstered beneath her coat. A vendor with reptilian irises paused mid-transaction, tilting his head toward her with a serpentine twitch. "You lack the currency for this bazaar, officer." Harlow kept her gaze fixed on the emerald glow deeper within the tunnels.
created_at"2026-07-25T14:51:37.517Z" 7/25/2026, 2:51:37 PM
model"google/gemini-3.5-flash-lite-20260721"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1405
moderation_latency(null)
generation_time3487
tokens_prompt1104
tokens_completion499
native_tokens_prompt1042
native_tokens_completion395
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"
usage0.0013001
router(null)
provider_responses
0
endpoint_id"6bd8f433-79e1-416c-b407-1772eb796c9a"
id"es1kar6HLp-5sOIP6ejsgAo"
is_byokfalse
latency1405
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-1784991097-Ix6FbwCHZsHRut5ntPY3"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784991097-1AbyE8L0r36ct66q9uhf"
upstream_id"es1kar6HLp-5sOIP6ejsgAo"
total_cost0.0013001
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)
wordCount314
totalAiIsmAdverbs1
found
0
adverb"sharply"
count1
highlights
0"sharply"
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)
68.15% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount314
totalAiIsms2
found
0
word"echoed"
count1
1
word"rhythmic"
count1
highlights
0"echoed"
1"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
narrationSentences18
matches(empty)
63.49% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences18
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences19
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen32
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords314
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions0
unquotedAttributions0
matches(empty)
51.96% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions12
wordCount306
uniqueNames7
maxNameDensity1.96
worstName"Harlow"
maxWindowNameDensity2
worstWindowName"Harlow"
discoveredNames
Camden1
High1
Street1
Harlow6
Quinn1
Underground1
Glock1
persons
0"Harlow"
1"Quinn"
2"Glock"
places
0"Camden"
1"High"
2"Street"
globalScore0.52
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences18
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount314
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences19
matches(empty)
98.90% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs9
mean34.89
std17.31
cv0.496
sampleLengths
055
144
247
315
450
550
632
78
813
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences18
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs51
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences19
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount310
adjectiveStacks0
stackExamples(empty)
adverbCount1
adverbRatio0.0032258064516129032
lyAdverbCount1
lyAdverbRatio0.0032258064516129032
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences19
echoCount0
echoWords(empty)
54.44% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences19
mean16.53
std4.73
cv0.286
sampleLengths
019
122
214
312
432
517
614
716
815
916
1014
1120
1216
1319
1415
1516
1616
178
1813
96.49% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats0
diversityRatio0.5789473684210527
totalSentences19
uniqueOpeners11
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences18
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount0
totalSentences18
matches(empty)
ratio0
15.56% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount16
totalSentences18
matches
0"Rain slicked the asphalt of"
1"Detective Harlow Quinn adjusted the"
2"The runner cut sharply between"
3"Harlow pushed off the curb,"
4"A worn leather watch on"
5"Metal railings bit into Harlow's"
6"The air shifted, heavy with"
7"A rusted iron gate hung"
8"Shadows stretched long across tiled"
9"The runner slipped through a"
10"Harlow cleared the barrier in"
11"A crowd milled beneath the"
12"Figures wrapped in heavy cloaks"
13"Harlow reached the edge of"
14"A vendor with reptilian irises"
15"Harlow kept her gaze fixed"
ratio0.889
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences18
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences18
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
84.4356%