Run: 2026-05-19-01KS0TQDVEQANFAR3184MPR7WS

Run Details

Duration:
29.5s
Cost:
$0.057372
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 slammed into the Camden pavement, shattering the reflection of emerald neon signs into ripples of dark light. Harlow Quinn blinked the grease and water from her eyes. Twenty yards ahead, Tomás Herrera cut through the downpour like a shearing blade. His short curly hair clung to his scalp, water streaming off his chin as he darted between two shuttered market stalls. "Herrera! Stop!" The wind snatched the command, tearing it to shreds before it reached him. The Spaniard didn't even turn his head. He vaulted a low iron barrier, his left sleeve riding up to expose the pale, puckered line of an old knife scar on his forearm. Quinn adjusted her grip on her heavy torch. Sweat mingled with the cold rain sliding down her sharp jaw. She cut the corner, her shoulder grazing the damp brickwork of a fishmonger's shop. Her knees, worn from eighteen years on the beat, fired protests with every stride. She forced them silent. A row of metal bins rattled as Herrera barged through them in the alleyways, sending plastic bags and rotting cabbage leaves into the gutter. He was fast, paramedic lungs keeping him light on his feet, but he was panicked. Panic made people messy. "Herrera! Stand down!" The Spaniard didn't stall. He leaped over a sprawling puddle, the movement pulling back his jacket sleeve further to reveal a Saint Christopher medallion swinging wildly from his neck. He lunged toward a set of rusted iron stairs that led downwards, disappearing into the throat of an abandoned Tube station. Quinn skidded to the lip of the stairwell. Grime-clogged steps descended into pitch-black stillness. A draft rolled up from the depths, carrying the stench of ancient soot, stagnant water, and something sickly sweet, like crushed lavender and copper. She touched the grip of her baton. The memory of DS Morris clutched at her chest—three years since he vanished into a case that defied every report she had ever filed. Herrera was her only link left. "There's nowhere to run, Tommy." Her voice echoed off the cracked green tiles lining the staircase. No answer came back, only the frantic patter of rubber soles fading into the subterranean dark. Quinn checked her left wrist. The watch-face on her worn leather band remained scratched but readable under the dim streetlights: 11:44 PM. She plunged down. The air grew instantly thicker, heavy with the weight of tons of London soil. Her torch beam sliced through the gloom, painting yellow circles on walls peeling with sixty-year-old posters of West End plays. Dust danced in the light. She moved with cautious, measured strides, her ears straining for the slightest sound. A distant metallic clang clattered through the tunnels. Quinn broke into a slowly accelerating jog, keeping her weight on the boss of her feet to mute her steps. She rounded a bend where the ceiling dipped so low she had to duck her head. The standard subway tiles gave way to raw, dripping brick. The modern world was peeling away with every step she took. The tunnel opened into a cavernous, disused platform. The tracks had been torn up long ago, leaving a trench of dark mud. At the far side of the platform, a single gas lantern flickered, casting long, monstrous shadows against the curved wall. Herrera stood before a massive iron gate that blocked the continuation of the line. Beside the gate stood a figure wrapped in a heavy woollen coat, their face obscured by a lowered hood. "Let me through," Herrera's voice shook, echoing off the damp masonry. "She's right behind me." The hooded gatekeeper held out a gloved hand, palm upward. Herrera fumbled in his pocket, his fingers trembling. He drew out a small, pale object about the size of a coin. It gleamed dull white in the lantern light—a carved fragment of human bone. He pressed the token into the guard’s open palm. The guard pocketed the bone and hauled on a rusted iron lever. The gate groaned open, screeching like a dying animal. "Police!" Quinn lunged across the platform, her boots sinking into the wet silt of the empty track bed. "Herrera, don't move!" Herrera bolted through the widening gap. "I can't go back, Quinn!" He scrambled over a mound of debris on the other side of the gate, his boots kicking up clouds of grey soot. "You don't understand what's down here!" The guard stepped into the center of the threshold, blocking the closing gate. The hood shifted, revealing pale, leather-textured skin and two eyes that reflected the lantern light like a cat’s. "Payment," the guard rasped, the voice sounding like dry leaves scraped across stone. Quinn stopped three paces from the gate. She shone her torch directly into the guard's face. The creature didn't flinch, its vertical pupils contracting to pinpricks. Behind it, the dark tunnel stretched into an impossible expanse, illuminated by distant, colored lanterns and the hum of a subterranean crowd. She heard the faint, chaotic noise of a bustling marketplace—tinkling glass, strange stringed instruments, and the murmurs of a hundred unfamiliar tongues. The Veil Market. "Step aside," Quinn raised her baton, her knuckles white. "Official police business." The guard's lips peeled back, revealing two rows of flat, square teeth. "Payment," the rasp repeated. "The price is a bone of the hand. Or a token of the dead." Quinn's gaze darted past the creature. Herrera was a fading silhouette, his dark jacket blending into the subterranean crowds of the market fifty yards away. If she turned back now to call for backup, he would vanish into this bizarre, terrifying underworld forever. If she pushed forward, she would step into a world that defied every law she had sworn to uphold. She took a slow, deep breath, her heart hammering against her ribs. The heavy iron gate began its slow, mechanical descent, the teeth of the latch aligning. Her watch ticked against her wrist, the seconds slipping away in the damp dark. Her hand drifted down to her pocket.
created_at"2026-05-19T19:17:13.203Z" 5/19/2026, 7:17:13 PM
model"google/gemini-3.5-flash-20260519"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1717
moderation_latency(null)
generation_time29369
tokens_prompt1140
tokens_completion3908
native_tokens_prompt1042
native_tokens_completion6201
native_tokens_completion_images0
native_tokens_reasoning4889
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"standard"
usage0.057372
router(null)
provider_responses
0
endpoint_id"bd50061c-e1d8-469e-96b1-d322e77378f8"
id"ObcMas_gFf3Q_uMPvc-YyQo"
is_byokfalse
latency1717
model_permaslug"google/gemini-3.5-flash-20260519"
provider_name"Google AI Studio"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.15.0; linux; x64))"
http_referer(null)
request_id"req-1779218233-UYRtCkotfNsz1dKF20k2"
session_id(null)
api_type"completions"
id"gen-1779218233-ak5jjdjPSpVSBLhmWmiC"
upstream_id"ObcMas_gFf3Q_uMPvc-YyQo"
total_cost0.057372
cache_discount(null)
upstream_inference_cost0
provider_name"Google AI Studio"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags6
adverbTagCount0
adverbTags(empty)
dialogueSentences14
tagDensity0.429
leniency0.857
rawRatio0
effectiveRatio0
95.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1001
totalAiIsmAdverbs1
found
0
adverb"slowly"
count1
highlights
0"slowly"
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)
40.06% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1001
totalAiIsms12
found
0
word"streaming"
count1
1
word"depths"
count1
2
word"echoed"
count1
3
word"weight"
count2
4
word"gloom"
count1
5
word"measured"
count1
6
word"standard"
count1
7
word"flickered"
count1
8
word"echoing"
count1
9
word"chaotic"
count1
10
word"mechanical"
count1
highlights
0"streaming"
1"depths"
2"echoed"
3"weight"
4"gloom"
5"measured"
6"standard"
7"flickered"
8"echoing"
9"chaotic"
10"mechanical"
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
narrationSentences74
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences74
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences82
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen27
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords998
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions30
wordCount945
uniqueNames14
maxNameDensity0.95
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Camden1
Quinn9
Tomás1
Herrera8
Spaniard2
Saint1
Christopher1
Tube1
Morris1
London1
West1
End1
Veil1
Market1
persons
0"Quinn"
1"Tomás"
2"Herrera"
3"Spaniard"
4"Saint"
5"Christopher"
6"Morris"
places
0"Camden"
1"London"
2"West"
3"End"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences66
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount998
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences82
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs35
mean28.51
std20.14
cv0.706
sampleLengths
062
12
245
351
443
53
650
738
837
95
1049
113
1252
138
1457
1542
1633
1715
1810
1943
2021
2121
226
2333
2431
2513
2670
273
2812
2912
3018
3162
3212
3329
347
95.78% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences74
matches
0"was panicked"
1"been torn"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs149
matches
0"was peeling"
38.33% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount3
semicolonCount0
flaggedSentences3
totalSentences82
ratio0.037
matches
0"The memory of DS Morris clutched at her chest—three years since he vanished into a case that defied every report she had ever filed."
1"It gleamed dull white in the lantern light—a carved fragment of human bone."
2"She heard the faint, chaotic noise of a bustling marketplace—tinkling glass, strange stringed instruments, and the murmurs of a hundred unfamiliar tongues."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount954
adjectiveStacks1
stackExamples
0"revealing pale, leather-textured skin"
adverbCount21
adverbRatio0.0220125786163522
lyAdverbCount8
lyAdverbRatio0.008385744234800839
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences82
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences82
mean12.17
std6.38
cv0.524
sampleLengths
018
110
213
321
42
513
67
725
88
911
1014
1114
124
1324
1415
154
163
174
1825
1921
208
216
2224
237
2424
256
265
2711
2816
295
3017
313
3214
3320
345
3513
368
3720
3816
3910
4011
418
4214
4320
4414
4519
4611
474
4810
498
46.75% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats10
diversityRatio0.35365853658536583
totalSentences82
uniqueOpeners29
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences74
matches(empty)
ratio0
95.68% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount23
totalSentences74
matches
0"His short curly hair clung"
1"He vaulted a low iron"
2"She cut the corner, her"
3"Her knees, worn from eighteen"
4"She forced them silent."
5"He was fast, paramedic lungs"
6"He leaped over a sprawling"
7"He lunged toward a set"
8"She touched the grip of"
9"Her voice echoed off the"
10"She plunged down."
11"Her torch beam sliced through"
12"She moved with cautious, measured"
13"She rounded a bend where"
14"He drew out a small,"
15"It gleamed dull white in"
16"He pressed the token into"
17"He scrambled over a mound"
18"She shone her torch directly"
19"She heard the faint, chaotic"
ratio0.311
14.05% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount66
totalSentences74
matches
0"Rain slammed into the Camden"
1"Harlow Quinn blinked the grease"
2"His short curly hair clung"
3"The wind snatched the command,"
4"The Spaniard didn't even turn"
5"He vaulted a low iron"
6"Quinn adjusted her grip on"
7"Sweat mingled with the cold"
8"She cut the corner, her"
9"Her knees, worn from eighteen"
10"She forced them silent."
11"A row of metal bins"
12"He was fast, paramedic lungs"
13"Panic made people messy."
14"The Spaniard didn't stall."
15"He leaped over a sprawling"
16"He lunged toward a set"
17"Quinn skidded to the lip"
18"A draft rolled up from"
19"She touched the grip of"
ratio0.892
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences74
matches
0"If she turned back now"
1"If she pushed forward, she"
ratio0.027
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences45
technicalSentenceCount2
matches
0"He lunged toward a set of rusted iron stairs that led downwards, disappearing into the throat of an abandoned Tube station."
1"The hood shifted, revealing pale, leather-textured skin and two eyes that reflected the lantern light like a cat’s."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags6
uselessAdditionCount3
matches
0"He scrambled, his boots kicking up clouds of grey soot"
1"the guard rasped, the voice sounding like dry leaves scraped across stone"
2"Quinn raised, her knuckles white"
78.57% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount1
fancyTags
0"the rasp repeated (repeat)"
dialogueSentences14
tagDensity0.071
leniency0.143
rawRatio1
effectiveRatio0.143
83.2741%