Run: 2026-02-19-01KHTYF5SXR6V2AQG5RHXTR75P

Run Details

Duration:
2m 34s
Cost:
$0.014945
Provider:
SiliconFlow

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 hammered Camden High Street, turning the pavement into a river of diesel rainbows and reflected neon. Detective Harlow Quinn’s boots struck the asphalt with the rhythm of a metronome, her shoulders squared, her salt-and-pepper hair plastered flat against her skull. The leather watch on her left wrist—DS Morris’s old watch, its face cracked, its band worn smooth—dug into her bone as she pumped her arms. Three years since Morris had died screaming in that warehouse in Brixton, three years of unexplained blood patterns and shadows that moved against the light, and tonight the same copper-sweet stink of ozone clung to this runner’s trail. The suspect—a wiry figure in a waxed Barbour, hood pulled low—vaulted a chain-link fence bordering the railway embankment. Quinn hit the barrier two seconds later. Her sharp jaw tightened. She grabbed the freezing metal, hauled herself up, felt the scar tissue in her shoulder protest, and dropped onto the gravelled slope beyond. Mud sucked at her boots. The runner didn’t look back, just plunged down a maintenance stairwell cut into the earth, a black rectangle swallowing the streetlight. She followed. The air turned to soup. Concrete walls dripped with condensation that smelled of wet stone and something older—myrrh, rotting orchids, the burnt-hair scent of shorted electronics. Her torch beam cut a jagged line down the steps. Fifty feet down. A hundred. The architecture shifted. The walls bowed outward, lined with ceramic tiles that should have been white but instead displayed an oil-slick iridescence, colours that had no names pulsing beneath the glaze. She emerged onto a platform that shouldn’t exist. The abandoned Tube station stretched into cathedral darkness. Vaulted arches soared overhead, dripping with bioluminescent fungus that painted the scene in shades of infected turquoise. Vendors crowded the tracks where trains had once run, their stalls constructed from driftwood and rusted scaffolding. A woman with skin like smoked glass weighed out powdered moonlight on brass scales. A man with too many fingers shuffled a deck of cards that screamed when he cut them. The runner was already twenty yards ahead, elbowing through a crowd of figures wearing plague masks and modern streetwear alike, moving toward a stall hung with bubbling alembics and jars of suspended organs. Quinn’s hand moved to her holster. The Metropolitan Police warrant card felt flimsy in this place. “Token.” The voice came from her left. A figure blocked the archway leading from the platform into the market proper—a gatekeeper seven feet tall, shoulders wrapped in a shawl of woven hair, face hidden behind a porcelain fox mask. “I’m pursuing a suspect.” Quinn held up her badge. Her voice carried the snap of command, eighteen years of service sharpening each syllable. “Metropolitan Police. Move aside.” “No bone token, no entry.” The gatekeeper’s hand rested on a lever connected to a portcullis of rusted iron teeth. “Police or no. Law of the Veil.” Behind the gate, the runner produced an ivory disk from his pocket—a bone token carved with spiralling sigils that seemed to spin when she looked directly at them. He pressed it to the gate. The mechanism groaned. The runner slipped through, merging with the throng, heading toward a section of the market where alchemical fires burned blue and green. Quinn’s heart hammered against her ribs. She stepped closer. The gatekeeper didn’t retreat. The proximity revealed details—etchings on the fox mask depicting scenes of pursuit, hunters becoming hunted, teeth growing from eyes. “Last chance, Detective.” A new voice, softer, accented. Spanish. Warm. Tomás Herrera leaned against the tunnel wall beside the gate, his olive skin grey in the fungal light, his short curly hair beaded with sweat. The scar on his left forearm—she remembered it from his NHS file, the knife attack that had preceded his dismissal—peeked from beneath his rolled sleeve. His Saint Christopher medallion caught a spark of green flame from a nearby brazier. He clutched a medical bag, its contents rattling with glass vials. “You shouldn’t be here, Harlow.” He used her first name like a warning. “This isn’t your jurisdiction. This isn’t even your physics.” “The runner’s carrying evidence from the Morris case.” Quinn’s fingers brushed the grip of her Glock. “Three years I’ve chased ghosts. Three years of reports gathering dust because the forensics came back impossible. That smell—” She inhaled sharply. “It’s the same as the warehouse. The same as where Morris died.” Tomás adjusted his grip on the bag. His warm brown eyes flicked toward the gate, then back to her face. He didn’t deny it. “Some doors open only one way. You step through, you don’t come back the same. Or at all.” Beyond the iron bars, the runner had reached the far wall of the station, where a temporary wooden door led deeper—into the Veil Market’s shifting heart, the place that moved every full moon according to whispers Quinn had always dismissed as junkie prophecy. He was purchasing something from a vendor wearing a hat made of living crows. He was getting away. Quinn looked at her watch. The cracked face showed 11:47. Morris had died at 11:47. The hands had stuck there for three years, the mechanism broken, but she wore it anyway. She looked at the gate. The bone token requirement. The supernatural marketplace. The end of her rational world. A scuffle erupted nearby. A pickpocket, skinny and trembling, stumbled against the gatekeeper, dropping three ivory disks that clattered on the tile like dice. The gatekeeper roared. The crowd surged. In the chaos, one bone token skittered across the floor, spinning in a circle of its own momentum, and came to rest against Quinn’s boot. She looked down. She looked up at the narrowing gap where the runner had vanished. Her sharp jaw set. Her military precision demanded closure. Her sanity screamed. Harlow Quinn bent, closed her fist around the cold ivory token, and stepped toward the gate.
created_at"2026-02-19T12:37:17.762Z" 2/19/2026, 12:37:17 PM
model"moonshotai/kimi-k2.5-0127"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency913
moderation_latency(null)
generation_time153685
tokens_prompt1140
tokens_completion5929
native_tokens_prompt1000
native_tokens_completion4905
native_tokens_completion_images(null)
native_tokens_reasoning3599
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.014945
router(null)
provider_responses
0
endpoint_id"34bb2131-6727-40e5-9dec-8793b254ba5c"
id"019c75e798b3a47bc87f3871e808939d"
is_byokfalse
latency911
model_permaslug"moonshotai/kimi-k2.5-0127"
provider_name"SiliconFlow"
status200
api_type"completions"
id"gen-1771504637-W641lKwtrZRmDd6ToWnf"
upstream_id"019c75e798b3a47bc87f3871e808939d"
total_cost0.014945
cache_discount(null)
upstream_inference_cost0
provider_name"SiliconFlow"

Evaluation details

Result Evaluator Details Meta Data
33.33% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags5
adverbTagCount1
adverbTags
0"She inhaled sharply [sharply]"
dialogueSentences12
tagDensity0.417
leniency0.833
rawRatio0.2
effectiveRatio0.167
94.97% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount994
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)
84.91% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount994
totalAiIsms3
found
0
word"constructed"
count1
1
word"porcelain"
count1
2
word"flicked"
count1
highlights
0"constructed"
1"porcelain"
2"flicked"
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
narrationSentences75
matches(empty)
85.71% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences75
filterMatches
0"watch"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences81
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen44
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords977
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
93.31% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions32
wordCount882
uniqueNames19
maxNameDensity1.13
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Camden1
High1
Street1
Harlow2
Quinn10
Morris3
Brixton1
Barbour1
Tube1
Metropolitan1
Police1
Spanish1
Herrera1
Saint1
Christopher1
Glock1
Tomás2
Veil1
Market1
persons
0"Harlow"
1"Quinn"
2"Morris"
3"Police"
4"Herrera"
5"Saint"
6"Christopher"
7"Tomás"
places
0"Camden"
1"High"
2"Street"
3"Brixton"
4"Veil"
5"Market"
globalScore0.933
windowScore1
94.44% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences45
glossingSentenceCount1
matches
0"sigils that seemed to spin when she looked directly at them"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount977
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences81
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs25
mean39.08
std29.66
cv0.759
sampleLengths
0104
178
22
372
48
5106
616
71
838
927
1027
1159
1232
1310
1475
1522
1650
1742
1861
1931
2018
2155
2215
2312
2416
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences75
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs152
matches
0"was purchasing"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount11
semicolonCount0
flaggedSentences8
totalSentences81
ratio0.099
matches
0"The leather watch on her left wrist—DS Morris’s old watch, its face cracked, its band worn smooth—dug into her bone as she pumped her arms."
1"The suspect—a wiry figure in a waxed Barbour, hood pulled low—vaulted a chain-link fence bordering the railway embankment."
2"Concrete walls dripped with condensation that smelled of wet stone and something older—myrrh, rotting orchids, the burnt-hair scent of shorted electronics."
3"A figure blocked the archway leading from the platform into the market proper—a gatekeeper seven feet tall, shoulders wrapped in a shawl of woven hair, face hidden behind a porcelain fox mask."
4"Behind the gate, the runner produced an ivory disk from his pocket—a bone token carved with spiralling sigils that seemed to spin when she looked directly at them."
5"The proximity revealed details—etchings on the fox mask depicting scenes of pursuit, hunters becoming hunted, teeth growing from eyes."
6"The scar on his left forearm—she remembered it from his NHS file, the knife attack that had preceded his dismissal—peeked from beneath his rolled sleeve."
7"Beyond the iron bars, the runner had reached the far wall of the station, where a temporary wooden door led deeper—into the Veil Market’s shifting heart, the place that moved every full moon according to whispers Quinn had always dismissed as junkie prophecy."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount899
adjectiveStacks1
stackExamples
0"same copper-sweet stink"
adverbCount12
adverbRatio0.013348164627363738
lyAdverbCount3
lyAdverbRatio0.0033370411568409346
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences81
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences81
mean12.06
std9.42
cv0.781
sampleLengths
017
124
225
338
418
57
64
723
85
921
102
115
1221
1310
143
152
163
1728
188
198
2017
2117
2214
2317
2433
256
2610
271
286
2932
309
3114
324
3320
347
3528
366
373
3822
396
403
414
4219
438
441
451
4625
4725
4814
4911
53.09% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats12
diversityRatio0.4074074074074074
totalSentences81
uniqueOpeners33
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences71
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount21
totalSentences71
matches
0"Her sharp jaw tightened."
1"She grabbed the freezing metal,"
2"Her torch beam cut a"
3"She emerged onto a platform"
4"Her voice carried the snap"
5"He pressed it to the"
6"She stepped closer."
7"His Saint Christopher medallion caught"
8"He clutched a medical bag,"
9"He used her first name"
10"She inhaled sharply"
11"His warm brown eyes flicked"
12"He didn’t deny it."
13"He was purchasing something from"
14"He was getting away."
15"She looked at the gate."
16"She looked down."
17"She looked up at the"
18"Her sharp jaw set."
19"Her military precision demanded closure."
ratio0.296
16.34% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount63
totalSentences71
matches
0"Detective Harlow Quinn’s boots struck"
1"The leather watch on her"
2"The suspect—a wiry figure in"
3"Quinn hit the barrier two"
4"Her sharp jaw tightened."
5"She grabbed the freezing metal,"
6"Mud sucked at her boots."
7"The runner didn’t look back,"
8"The air turned to soup."
9"Her torch beam cut a"
10"The architecture shifted."
11"The walls bowed outward, lined"
12"She emerged onto a platform"
13"The abandoned Tube station stretched"
14"Vendors crowded the tracks where"
15"A woman with skin like"
16"A man with too many"
17"The runner was already twenty"
18"Quinn’s hand moved to her"
19"The Metropolitan Police warrant card"
ratio0.887
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences71
matches(empty)
ratio0
12.99% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences33
technicalSentenceCount6
matches
0"Three years since Morris had died screaming in that warehouse in Brixton, three years of unexplained blood patterns and shadows that moved against the light, an…"
1"Concrete walls dripped with condensation that smelled of wet stone and something older—myrrh, rotting orchids, the burnt-hair scent of shorted electronics."
2"The walls bowed outward, lined with ceramic tiles that should have been white but instead displayed an oil-slick iridescence, colours that had no names pulsing …"
3"Vaulted arches soared overhead, dripping with bioluminescent fungus that painted the scene in shades of infected turquoise."
4"The scar on his left forearm—she remembered it from his NHS file, the knife attack that had preceded his dismissal—peeked from beneath his rolled sleeve."
5"Beyond the iron bars, the runner had reached the far wall of the station, where a temporary wooden door led deeper—into the Veil Market’s shifting heart, the pl…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags5
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
78.7698%