Run: 2026-07-25-01KYCSMEFCEA11XYW77RDP2QHN

Run Details

Duration:
11.6s
Cost:
$0.011246
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
Sheeted rain transformed the Soho tarmac into a black mirror, churning the reflection of the green neon sign outside The Raven's Nest into a emerald smear. Detective Harlow Quinn adjusted the collar of her heavy coat, water dripping from her salt-and-pepper hair into her eyes. Up ahead, thirty yards past the pool of streetlamp light, a figure sprinted down the alley toward the curve of Old Compton Street. "Stop right there!" Quinn's voice cracked like a pistol shot across the empty pavement. Tomás Herrera didn't look back. His boots struck the drenched asphalt in frantic beats, his right hand clutching something small against his chest while his left arm—etched with that jagged forearm scar—pumped for leverage. The silver Saint Christopher medallion ricocheted off his collarbone with every stride. Quinn lunged forward, her leather soles slapping against the flooded cobblestones. Eighteen years on the force hadn't softened her stride; she ran with the cold, measured efficiency of a woman who calculated distance in bullet trajectories and step-counts. Rain stung her face, tasting of ozone and diesel exhaust. Three years since DS Morris went into an alley like this and came back in a zinc body bag with no blood left in his veins. She wasn't losing another trail. Tomás cut sharp to the left, ducking beneath a rusted fire escape. Metal grated against brick as he jammed his shoulder into a heavy wooden door tucked behind a bank of overflowing wheelie bins. The door swung wide on crying hinges. Quinn rounded the corner, her service weapon clear of the leather holster before her feet hit the alley floor. "Police! Don't move!" The door clicked shut. She slammed against the wet oak, twisting the brass handle. It gave way with a heavy thud, pulling her into an oppressive, subterranean heat. The smell struck her first—not the familiar damp rot of London sewers, but thick, resinous frankincense, scorched copper, and something sickeningly sweet, like crushed plums left in the sun. The wooden stairs spiraled downward into an abyss of cracked white subway tiles. Dust kicked up in dry clouds, coating her wet throat. "Herrera! You've got nowhere to run down here!" She descended three steps at a time, keeping her back flush against the tiled wall, gun barrel pointed into the gloom below. A shadow darted across the landing two levels down. Tomás bounced off the iron railing, his dark curls plastered to his forehead, breathless curses echoing in fast Spanish up the stairwell. He fumbled in his coat pocket, pulling out a flat piece of carved ivory—a bone token that gleamed under the dead fluorescent bulb overhead. Quinn reached the base of the stairs just as Tomás threw his weight against a decommissioned iron turnstile. Beyond it lay the rusted throat of an abandoned Northern Line platform beneath Camden, buried under fifty feet of clay and concrete. "End of the line, Tommy." Quinn leveled her weapon at his shoulder blades. "Hands on the turnstile. Do it now." Tomás turned slowly, his olive skin pale beneath the grime of the descent. He pressed the bone token against a blank brass plate beside the turnstile. A heavy, pneumatic hiss tore through the tunnel, rattling the iron grating. "You shouldn't be down here, Detective," Tomás rasped, his warm brown eyes wide with a frantic mix of panic and pity. "Your badge won't buy you an exit pass from this place." "Try me." Quinn took two steps forward, the rubber heels of her boots crunching on broken glass. "You're wanted for questioning in connection with three unexplainable casualties at St. Thomas'. Step away from the gate." "Those people were dying of things your doctors couldn't see." Tomás backed through the turnstile as the iron bars swung inward with a heavy, mechanical groan. "I gave them a chance. That's all I ever do." "You're a disgrace to your uniform, Herrera." "I haven't worn that uniform in two years!" Tomás yelled, his voice bouncing down the curved tile ceiling. "Go back upstairs, Quinn. Go back to your radio and your incident reports. If you cross this line, Morris's file won't be the only one they mark open-unresolved." Quinn froze, her index finger twitching against the trigger guard. The cold leather of her watch pressed against her wrist, ticking silently. "What did you say?" "I know why you've been tracking the Nest," Tomás said quietly, stepping back into the shadow of the platform. "I know what you found in that alley three years ago. The marks on his neck. The frost on the pavement in July." The air around them shifted. The ambient hum of street traffic above evaporated, replaced by a low, rhythmic thrum that vibrated through the soles of Quinn's boots. Lantern light—flickering violet and amber—spilled out from the mouth of the subway tunnel ahead. Voices murmured in languages that made the back of her neck prickle, a chorus of bargaining, iron clinking against stone, and the strange, wet rustle of feathers. The Veil Market sat opened before her, an underground bazaar breathing beneath the city's skin. Tomás turned and melted into the low-hanging smog of the platform, his dark coat swallowing his outline. Quinn stood at the iron barrier, her chest heaving. Her hand shook—just a fraction of an inch, but enough to make the sights of her gun blur against the violet haze. Beyond the turnstile lay a realm that shattered every report she had ever filed, every law she had sworn to uphold. If she stepped through, there was no backup, no radio channel, no protocol. Just the dark, and whatever killed her partner. She looked at the brass plate, still glowing faintly where the bone token had touched it. Then she looked down the platform at the retreating shadow of the man who held the answers. Quinn holstered her weapon, snapped her coat tight around her chest, and vaulted the turnstile.
created_at"2026-07-25T14:07:29.271Z" 7/25/2026, 2:07:29 PM
model"google/gemini-3.6-flash-20260721"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency563
moderation_latency(null)
generation_time11491
tokens_prompt1104
tokens_completion1489
native_tokens_prompt1042
native_tokens_completion1291
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"
usage0.0112455
router(null)
provider_responses
0
endpoint_id"5d6d133d-a953-4781-a835-7ee76f4e1388"
id"IcNkaoW9GomY-8YPyO7x2Ak"
is_byokfalse
latency563
model_permaslug"google/gemini-3.6-flash-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-1784988449-ffCO7SBgo5iIm2vDGRhP"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784988449-kFoOX9cBA9IwjhfINZsM"
upstream_id"IcNkaoW9GomY-8YPyO7x2Ak"
total_cost0.0112455
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
0.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags8
adverbTagCount2
adverbTags
0"Quinn's voice cracked like [like]"
1"Tomás said quietly [quietly]"
dialogueSentences17
tagDensity0.471
leniency0.941
rawRatio0.25
effectiveRatio0.235
94.92% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount985
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)
34.01% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount985
totalAiIsms13
found
0
word"churning"
count1
1
word"etched"
count1
2
word"measured"
count1
3
word"calculated"
count1
4
word"oppressive"
count1
5
word"familiar"
count1
6
word"gloom"
count1
7
word"echoing"
count1
8
word"weight"
count1
9
word"mechanical"
count1
10
word"rhythmic"
count1
11
word"vibrated"
count1
12
word"shattered"
count1
highlights
0"churning"
1"etched"
2"measured"
3"calculated"
4"oppressive"
5"familiar"
6"gloom"
7"echoing"
8"weight"
9"mechanical"
10"rhythmic"
11"vibrated"
12"shattered"
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
narrationSentences53
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences53
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences62
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen31
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords978
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
66.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions39
wordCount817
uniqueNames20
maxNameDensity1.35
worstName"Quinn"
maxWindowNameDensity3
worstWindowName"Tomás"
discoveredNames
Soho1
Raven1
Nest1
Harlow1
Quinn11
Old1
Compton1
Street1
Tomás10
Herrera1
Saint1
Christopher1
Morris1
London1
Spanish1
Northern1
Line1
Camden1
Veil1
Market1
persons
0"Harlow"
1"Quinn"
2"Tomás"
3"Herrera"
4"Saint"
5"Christopher"
6"Morris"
7"Camden"
8"Market"
places
0"Soho"
1"Raven"
2"Old"
3"Compton"
4"Street"
5"London"
globalScore0.827
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences49
glossingSentenceCount0
matches(empty)
97.75% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords1.022
wordCount978
matches
0"not the familiar damp rot of London sewers, but thick, resinous frankincense, scorched copper"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences62
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs27
mean36.22
std19.79
cv0.546
sampleLengths
068
114
246
379
441
522
64
753
823
930
1055
1140
1220
1338
1432
1535
1636
177
1846
1926
2042
2168
2215
2317
2473
2533
2615
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences53
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs122
matches
0"wasn't losing"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount7
semicolonCount1
flaggedSentences6
totalSentences62
ratio0.097
matches
0"His boots struck the drenched asphalt in frantic beats, his right hand clutching something small against his chest while his left arm—etched with that jagged forearm scar—pumped for leverage."
1"Eighteen years on the force hadn't softened her stride; she ran with the cold, measured efficiency of a woman who calculated distance in bullet trajectories and step-counts."
2"The smell struck her first—not the familiar damp rot of London sewers, but thick, resinous frankincense, scorched copper, and something sickeningly sweet, like crushed plums left in the sun."
3"He fumbled in his coat pocket, pulling out a flat piece of carved ivory—a bone token that gleamed under the dead fluorescent bulb overhead."
4"Lantern light—flickering violet and amber—spilled out from the mouth of the subway tunnel ahead."
5"Her hand shook—just a fraction of an inch, but enough to make the sights of her gun blur against the violet haze."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount828
adjectiveStacks0
stackExamples(empty)
adverbCount15
adverbRatio0.018115942028985508
lyAdverbCount5
lyAdverbRatio0.006038647342995169
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences62
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences62
mean15.77
std7.22
cv0.457
sampleLengths
026
119
223
314
45
529
612
711
827
910
1026
115
1212
1322
147
1519
163
174
1810
1914
2029
2113
2210
2330
249
2522
2624
2718
2822
2913
307
3113
3213
3312
3421
3511
3617
3718
3826
3910
407
4118
4228
4310
4412
454
4619
4723
485
4922
89.25% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.5645161290322581
totalSentences62
uniqueOpeners35
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences53
matches
0"Just the dark, and whatever"
1"Then she looked down the"
ratio0.038
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount9
totalSentences53
matches
0"His boots struck the drenched"
1"She wasn't losing another trail."
2"She slammed against the wet"
3"It gave way with a"
4"She descended three steps at"
5"He fumbled in his coat"
6"He pressed the bone token"
7"Her hand shook—just a fraction"
8"She looked at the brass"
ratio0.17
44.91% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount44
totalSentences53
matches
0"Detective Harlow Quinn adjusted the"
1"Quinn's voice cracked like a"
2"Tomás Herrera didn't look back."
3"His boots struck the drenched"
4"The silver Saint Christopher medallion"
5"Quinn lunged forward, her leather"
6"Rain stung her face, tasting"
7"She wasn't losing another trail."
8"Tomás cut sharp to the"
9"Metal grated against brick as"
10"The door swung wide on"
11"Quinn rounded the corner, her"
12"The door clicked shut."
13"She slammed against the wet"
14"It gave way with a"
15"The smell struck her first—not"
16"The wooden stairs spiraled downward"
17"Dust kicked up in dry"
18"She descended three steps at"
19"A shadow darted across the"
ratio0.83
94.34% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences53
matches
0"If she stepped through, there"
ratio0.019
65.64% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences37
technicalSentenceCount4
matches
0"Eighteen years on the force hadn't softened her stride; she ran with the cold, measured efficiency of a woman who calculated distance in bullet trajectories and…"
1"He fumbled in his coat pocket, pulling out a flat piece of carved ivory—a bone token that gleamed under the dead fluorescent bulb overhead."
2"The ambient hum of street traffic above evaporated, replaced by a low, rhythmic thrum that vibrated through the soles of Quinn's boots."
3"Voices murmured in languages that made the back of her neck prickle, a chorus of bargaining, iron clinking against stone, and the strange, wet rustle of feather…"
62.50% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags8
uselessAdditionCount1
matches
0"Tomás yelled, his voice bouncing down the curved tile ceiling"
91.18% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount1
fancyTags
0"Tomás yelled (yell)"
dialogueSentences17
tagDensity0.118
leniency0.235
rawRatio0.5
effectiveRatio0.118
84.7052%