Run: 2026-10-20-01M5C68XDYM1B19ZR8JBF7DRFN

Run Details

Duration:
32.5s
Cost:
$0.001116
Provider:
Wafer

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 the pavement, each drop shattering into a thousand needle points against the asphalt. Detective Harlow Quinn ignored the water sluicing down her collar. Her focus was a single point: the back of a grey hoodie, thirty metres ahead, weaving through the late-night stragglers of Soho. The suspect vaulted a bollard, his trainers slapping a syncopated rhythm against the wet street. Quinn followed, her boots finding the same slick concrete with the same brutal economy. Her worn leather watch, soaked through, bit into her wrist. He turned a corner onto a narrower street, the neon glow of a thousand signs bleeding into the puddles. The Raven’s Nest, a green oval of light, hummed above a black door. He didn't stop there. He ran past, a shadow swallowed by an alleyway. Quinn’s lungs burned. Eighteen years of service and her body still complained. She pushed harder, the alley a throat of darkness. The smell hit her first—wet brick, stale beer, and something else, something metallic and cold, like old blood. The alley ended. Not at a wall. At a hole. A wrought-iron grate, rusted and pried open, sat at the base of a brick wall. A set of stairs spiralled down into the earth. A faint, flickering orange light danced from the depths. There was no other way he could have gone. She paused at the edge, the rain dripping from her close-cropped hair onto the metal grate. Her training screamed at her. Never follow a suspect into an unknown, confined space. Foxes had their holes. You smoked them out or walked away. The memory of DS Morris, a name carved in stone, flashed behind her eyes. Unexplained circumstances. A cold case file thick with reports of things that didn't fit. Her jaw tightened. This wasn't a simple collar. Her gut, a knot of cold certainty, told her that much. She drew her standard-issue radio. "Control, this is Quinn. Pursuing suspect on foot. Entering an underground structure, location... off Bateman Street, behind the Raven's Nest. No backup available. Requesting immediate assistance to that location." Static hissed. A garbled voice, "Received, Quinn... would advise... wait..." She holstered the radio. Waiting wasn't an option. She took the first step down. The air grew colder, thicker, wrapping around her like a damp shroud. The sounds of the city above faded, replaced by the rhythmic drip of water and the distant, low hum of a crowd. The stairs ended at a short, arched tunnel. The flickering orange light came from a series of old, caged bulbs strung along the ceiling. At the end of the tunnel, a heavy, black velvet curtain. The murmur of voices grew louder, a strange discordant melody of chatter, laughter, and something like a low, mournful chant. Quinn approached the curtain and stopped. She pulled the heavy fabric aside just enough to peer through. The Veil Market. She had heard whispers of it in the corridors of the Met, in files that were quickly classified and sealed. A black market. But this was no ordinary black market. It sprawled in an abandoned Tube station, the grand, arched ceiling of the old ticket hall now a canvas for a twisted festival. Stalls made of painted wood and faded canvas lined the platforms. The air was thick with the scent of incense, roasting meat, and ozone. The crowd was a kaleidoscopic mess of the strange and the sinister. She saw people in fine silks bargaining with things that looked like walking shadows. A woman with skin the colour of birch bark was selling bottles of captured moonlight from a rickety cart. A man with no face, just a smooth expanse of skin, tended a stall of whispering masks. And there he was. The grey hoodie. He was walking quickly, nervously, through the throng. He kept looking over his shoulder, his face pale. He wasn't a browser. He was a courier. And he was scared. Her hand went to her side, feeling for the familiar weight of her service pistol. It was there, a comforting solidity in this world of smoke and mirrors. The logic was simple. Backup would never find this place. They would arrive at an empty alley and a pried-open grate. If she let him disappear into this crowd, he was gone. The case would die. DS Morris’s face, waxy in death, swam before her. She had to follow. She was the only one who could. She stepped through the curtain. The first thing that hit her was the noise. It wasn't chaotic; it was a layered, structured sound. The murmur of a hundred conversations, each word a secret, each deal a transaction. A low, throaty singing came from a stall where a woman with runes tattooed on her face sold charms. The air was so dense with smells it felt like a physical presence. The baby should have been overwhelmed. Instead, her senses sharpened. She saw the fear in the eyes of a man buying a small, bone-coloured token. She saw the gleam of a blade at the belt of a woman in a leather corset. Her sight seemed to cut through the smoke, her hearing picking out the specific rhythm of the suspect's footsteps. She was a hunter in the undergrowth. The suspect, Coyle, was moving towards a stall draped with animal skins. A large man, bald, with a thick, iron-grey beard, ran it. Quinn moved in parallel, herding him with her presence, keeping stalls and crowds between them. Then he stopped. He turned left, disappearing into the mouth of a maintenance tunnel, its entrance black and uninviting. Quinn quickened her pace. This was it. The trap would be sprung in the dark. She reached the tunnel's entrance. The orange light barely penetrated five metres. Beyond was absolute darkness. From inside, she could hear the echo of a scuffle—a grunt, a muffled curse. Then a voice, low and urgent. "You're late, Coyle. The bookkeeper doesn't like late." Another voice, Coyle's, trembling. "I was... I was followed. A cop." A cold, sharp silence. The air in the tunnel seemed to drop ten degrees. "Followed?" The first voice, now with a dangerous edge. "I lost her... him... I lost them. They wouldn't come in here. No way." Quinn smiled, a cold, grim thing. She unholstered her pistol, the familiar weight in her hand. She took a breath of the cold, metallic air. He was wrong about that. She plunged into the darkness. The wet concrete walls of the tunnel closed around her. Her footsteps echoed, a lonely sound. She could hear him ahead, the scuffle growing louder. She could smell a different fear now, the sour tang of a cornered animal. She was ready. The jungle had rules. And she was about to break the most important one. Never corner a dangerous animal alone. But some animals, the detective knew, needed to be put down before they could bite again. The darkness closed in, the wet, unused air filling her lungs. She took the last step into the black, her senses trained forward, into the place where the rules of her world ended.
created_at"2026-10-20T08:19:01.191Z" 10/20/2026, 8:19:01 AM
model"deepseek/deepseek-v4.1-flash-20261017"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency435
moderation_latency(null)
generation_time32444
tokens_prompt1104
tokens_completion2149
native_tokens_prompt1029
native_tokens_completion1903
native_tokens_completion_images(null)
native_tokens_reasoning197
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(null)
usage0.00111614
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1792484341-NbI68AbKHd6SyxadL4aV"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1792484341-TdpcdwqG6FN0AEVey4ja"
upstream_id"chatcmpl-512952e8e8c24f6c86fb51ce35a609ca"
provider_responses
0
endpoint_id"66d4851d-7738-4948-9d40-2ab6dc54f895"
id"chatcmpl-512952e8e8c24f6c86fb51ce35a609ca"
is_byokfalse
latency435
model_permaslug"deepseek/deepseek-v4.1-flash-20261017"
provider_name"Wafer"
status200
total_cost0.00111614
cache_discount(null)
upstream_inference_cost0
provider_name"Wafer"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
87.34% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1185
totalAiIsmAdverbs3
found
0
adverb"quickly"
count2
1
adverb"nervously"
count1
highlights
0"quickly"
1"nervously"
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)
24.05% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1185
totalAiIsms18
found
0
word"depths"
count1
1
word"standard"
count1
2
word"structure"
count1
3
word"rhythmic"
count1
4
word"velvet"
count1
5
word"sinister"
count1
6
word"familiar"
count2
7
word"weight"
count2
8
word"comforting"
count1
9
word"chaotic"
count1
10
word"footsteps"
count2
11
word"quickened"
count1
12
word"echo"
count1
13
word"silence"
count1
14
word"echoed"
count1
highlights
0"depths"
1"standard"
2"structure"
3"rhythmic"
4"velvet"
5"sinister"
6"familiar"
7"weight"
8"comforting"
9"chaotic"
10"footsteps"
11"quickened"
12"echo"
13"silence"
14"echoed"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"air was thick with"
count1
highlights
0"The air was thick with"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells1
narrationSentences119
matches
0"was scared"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount2
narrationSentences119
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)
analyzedSentences123
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen29
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1183
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
totalMentions19
wordCount1119
uniqueNames11
maxNameDensity0.63
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn7
Soho1
Raven1
Nest1
Morris2
Veil1
Market1
Met1
Tube1
Coyle2
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Morris"
4"Coyle"
places
0"Soho"
globalScore1
windowScore1
57.41% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences81
glossingSentenceCount3
matches
0"something like a low, mournful chant"
1"looked like walking shadows"
2"felt like a physical presence"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1183
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences123
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs35
mean33.8
std29.73
cv0.879
sampleLengths
047
139
245
339
410
542
641
747
834
910
1048
1155
1217
133
14139
1536
1628
1745
1811
195
20125
217
2238
2319
2415
2536
268
2711
2814
299
3014
3125
325
3344
3472
99.37% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences119
matches
0"was gone"
1"been overwhelmed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs180
matches
0"was selling"
1"was walking"
73.17% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount1
flaggedSentences3
totalSentences123
ratio0.024
matches
0"The smell hit her first—wet brick, stale beer, and something else, something metallic and cold, like old blood."
1"It wasn't chaotic; it was a layered, structured sound."
2"From inside, she could hear the echo of a scuffle—a grunt, a muffled curse."
88.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1128
adjectiveStacks2
stackExamples
0"small, bone-coloured token."
1"thick, iron-grey beard,"
adverbCount18
adverbRatio0.015957446808510637
lyAdverbCount6
lyAdverbRatio0.005319148936170213
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences123
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences123
mean9.62
std5.52
cv0.574
sampleLengths
015
110
222
315
414
510
619
713
84
99
103
119
129
1318
143
154
163
1715
189
199
209
2116
225
239
244
257
2614
272
2812
293
305
3111
325
3329
342
358
364
374
386
3912
4022
418
4216
4311
4420
456
4611
473
4820
493
34.55% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats19
diversityRatio0.2845528455284553
totalSentences123
uniqueOpeners35
85.47% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences117
matches
0"Instead, her senses sharpened."
1"Then he stopped."
2"Then a voice, low and"
ratio0.026
69.57% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount44
totalSentences117
matches
0"Her focus was a single"
1"Her worn leather watch, soaked"
2"He turned a corner onto"
3"He didn't stop there."
4"He ran past, a shadow"
5"She pushed harder, the alley"
6"She paused at the edge,"
7"Her training screamed at her."
8"You smoked them out or"
9"Her jaw tightened."
10"Her gut, a knot of"
11"She drew her standard-issue radio."
12"She holstered the radio."
13"She took the first step"
14"She pulled the heavy fabric"
15"She had heard whispers of"
16"It sprawled in an abandoned"
17"She saw people in fine"
18"He was walking quickly, nervously,"
19"He kept looking over his"
ratio0.376
41.20% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount98
totalSentences117
matches
0"Detective Harlow Quinn ignored the"
1"Her focus was a single"
2"The suspect vaulted a bollard,"
3"Quinn followed, her boots finding"
4"Her worn leather watch, soaked"
5"He turned a corner onto"
6"The Raven’s Nest, a green"
7"He didn't stop there."
8"He ran past, a shadow"
9"Quinn’s lungs burned."
10"She pushed harder, the alley"
11"The smell hit her first—wet"
12"The alley ended."
13"A wrought-iron grate, rusted and"
14"A set of stairs spiralled"
15"A faint, flickering orange light"
16"She paused at the edge,"
17"Her training screamed at her."
18"Foxes had their holes."
19"You smoked them out or"
ratio0.838
42.74% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences117
matches
0"If she let him disappear"
ratio0.009
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences51
technicalSentenceCount1
matches
0"She saw people in fine silks bargaining with things that looked like walking shadows."
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
86.7621%