Run: 2026-10-20-01M5C6NFM2HFHV16MXKF4V31FT

Run Details

Duration:
1m 17s
Cost:
$0.003910
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="4414" name="Eva Kowalski" aliases="Eva, Evie" pronouns="she/her" species="Human" storyRole="Best Friend"> <eyeColor>green</eyeColor> <hair>curly red</hair> <height>5'4"</height> <age>26</age> <glasses>round glasses</glasses> <satchel>worn leather satchel full of books</satchel> <freckles>freckled complexion</freckles> <nervousHabit>tucking hair behind her left ear</nervousHabit> <description>Aurora's childhood friend and an occult researcher.</description> <backstory>Moved to London two years before Aurora and works as a research assistant at the British Museum's restricted archives. She holds a master's degree in Ancient History from Oxford.</backstory> </character> <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> <item id="2004" name="Veil Compass" aliases="the Compass, shadow compass" type="Tool" origin="The Veil Market"> <casingMaterial>small brass compass</casingMaterial> <faceMarkings>face etched with protective sigils</faceMarkings> <needle>points toward the nearest supernatural rift or portal</needle> <patina>casing has a patina of verdigris</patina> <creator>crafted by a Shade artisan</creator> <description>A compass attuned to supernatural energy.</description> </item> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the mystery genre. A detective arrives at a crime scene in an unusual location. Something is wrong — the evidence doesn't add up. A colleague is present, offering a different interpretation. Through careful observation and deduction, the detective begins to see what others have missed. 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
The access shaft dropped from a maintenance hatch behind a shuttered kebab shop on Camden High Street. Harlow climbed down steel rungs, gloved hands sliding on condensation. Below, the abandoned Tube station breathed cold air through cracked tiles. Police work lamps stood on the platform, white and harsh, throwing long shadows across soot-stained alcoves. “Quinn.” DS Pike waited by the ticket hall, hands in his pockets. “Took your time.” “Traffic.” She ducked under the tape. “What's the story?” Pike jerked his chin toward the platform. “Male, thirties. Throat cut. Body posed. Chalk circle, candles, the whole circus. Major Crimes thinks cult. I think somebody watched too many horror films and wanted a distraction.” Harlow walked the platform edge. Dust lay thick on the tiles, except for a path of boot prints leading from the service tunnel to the body. Uniforms had already trampled a second path. The victim lay on his back inside a chalk circle. Dark suit, white shirt, no tie. Blood had gathered beneath his shoulders and dried to a brown-black crust. Five candle stubs sat at compass points around him, unlit. A bone token rested in his right hand, a drilled disc of pale bone threaded with leather. Pike crouched at the circle. “No wallet. No mobile. Token's a ritual thing. We've got a book at the Yard with symbols like that.” “Which book?” “Some Victorian occult rubbish. Pictures of circles, pentagrams, naked women with goat heads.” Harlow leaned closer. The chalk lines crossed the platform tiles with clean edges. No smudges. No scuff marks from a struggle. The victim's shoes—black oxfords—gleamed under the work lamps. She touched the sole of one shoe with a gloved finger. Dry. Clean. “He didn't walk here.” Pike looked up. “What?” “The platform's covered in dust. Boot prints from the tunnel, ours, yours. His soles are clean. His trouser cuffs have no soot. If he walked in, he'd be filthy to the knees.” “Maybe they cleaned him up.” “Clean shoes, clean cuffs, clean shirt. Then they cut his throat and posed him in a dust pit. Why bother cleaning his shoes and not the blood?” Pike stood. “Staging. Cultists are weird.” “Weird isn't a method.” Harlow walked around the circle. The chalk lines ran under the body. No breaks. No scuff marks where the victim's heels rested. She pointed. “The circle was drawn around him. Or under him before he was placed. Either way, no one drew it while he was dying.” Pike shrugged. “So they killed him first. Doesn't change the cult angle.” “It changes the order.” Harlow knelt by the candle stubs. The wicks were white and stiff. No wax had melted onto the tiles. “These candles never burned.” “Maybe they didn't get to light them.” “Five candles, five points, one body. The staging is a prop. Somebody wanted us to see a ritual.” She picked up the bone token between two fingers. It had a notch on one edge, worn smooth, and a faint rank smell, like old meat and vinegar. Not a ritual object. A pass. She'd seen one before, in a case file three years old, in Morris's handwriting. Her jaw tightened. She set the token down. Pike toed the chalk line. “Or somebody wanted their mates to think they'd done a ritual. A gang making a point.” “Gangs don't carry bone tokens with notches. They carry knives and short tempers.” Harlow turned the token in the light. “This is old. Worn smooth. Used.” “Used for what?” “Entry.” Pike pulled out his mobile. “I'll get forensics to photograph the circle.” “Tell them to photograph the arch first.” “What arch?” Harlow crossed the platform to the far wall. A brick arch had been sealed with grey blocks, but the mortar around the lower courses had crumbled. She put her palm against the brick. Cold air bled through the seams. A faint draft carried the smell of wet stone and something else—burning fat, maybe, and spice. The work lamps hummed behind her. Pike came over. “That's a dead end. The old lift shaft. Sealed in the sixties.” “Then why is it breathing?” He pressed his hand to the brick. His mouth opened, then closed. Harlow pulled the compass from her coat pocket—the brass one from the victim's jacket, bagged and tagged, but she'd signed it out before the techs arrived. The casing had a green patina. Sigils covered the face. She flipped the lid. The needle swung, quivered, and settled on the brick arch. Pike stared. “It's a prop.” “Feel the weight. Look at the engraving.” Harlow turned the compass in her palm. “Machine-cut brass, hand-etched sigils, glass bezel. A prop would be tin and paint. This is a tool.” “A tool for what?” The needle twitched toward the arch. Harlow stepped left. The needle followed. She stepped right. It followed again. She held the compass against the brick. The needle pressed to the glass, straining. Pike took a step back. “Okay. That's odd.” “Odd is a start.” Harlow handed him the compass. “Get a lamp on this arch. Clear the platform. I want the brickwork photographed before anyone touches it.” “And the body?” “The body's a message. The arch is the door.” She looked at the victim's clean shoes, the unlit candles, the chalk circle drawn around a man who never walked into the room. “Someone brought him here, killed him, and built a stage. Not to hide the body. To hide the entrance.” Pike held the compass at arm's length. The needle pointed at the brick like a finger. “You think there's something behind this wall?” Harlow picked up the bone token. The notch fit her thumb. She thought of Morris, of the file with his handwriting, of the same notch on a token sealed in an evidence bag three years ago. She didn't say his name. “I think the circle is a curtain.” Harlow pressed the token into Pike's palm. “Find me a sledgehammer.” Pike didn't move. “That's a listed structure.” “Then find me a mason.” Harlow took the token back, pressed it against the brick. The air moved. Somewhere behind the wall, a latch clicked.
created_at"2026-10-20T08:25:53.033Z" 10/20/2026, 8:25:53 AM
model"deepseek/deepseek-v4.1-flash-20261017"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency471
moderation_latency(null)
generation_time77229
tokens_prompt1112
tokens_completion8328
native_tokens_prompt1059
native_tokens_completion7481
native_tokens_completion_images(null)
native_tokens_reasoning5999
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)
usage0.00390994
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1792484753-YZywweW2Y6qIfAPSa6wd"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1792484753-fYU8LvI7SM03UNnAaOiD"
upstream_id"chatcmpl-1f7453f4cf384ff8b04324bc19be2c58"
provider_responses
0
endpoint_id"66d4851d-7738-4948-9d40-2ab6dc54f895"
id"chatcmpl-1f7453f4cf384ff8b04324bc19be2c58"
is_byokfalse
latency470
model_permaslug"deepseek/deepseek-v4.1-flash-20261017"
provider_name"Wafer"
status200
total_cost0.00390994
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
totalTags11
adverbTagCount1
adverbTags
0"Harlow walked around [around]"
dialogueSentences46
tagDensity0.239
leniency0.478
rawRatio0.091
effectiveRatio0.043
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1025
totalAiIsmAdverbs0
found(empty)
highlights(empty)
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)
80.49% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1025
totalAiIsms4
found
0
word"quivered"
count1
1
word"weight"
count1
2
word"etched"
count1
3
word"structure"
count1
highlights
0"quivered"
1"weight"
2"etched"
3"structure"
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
narrationSentences82
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences82
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences117
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
totalWords1021
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
37.46% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions34
wordCount622
uniqueNames7
maxNameDensity2.25
worstName"Pike"
maxWindowNameDensity3.5
worstWindowName"Harlow"
discoveredNames
Camden1
High1
Street1
Tube1
Pike14
Morris2
Harlow14
persons
0"Pike"
1"Morris"
2"Harlow"
places
0"Camden"
1"High"
2"Street"
globalScore0.375
windowScore0.5
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences48
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1021
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences117
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs45
mean22.69
std20.53
cv0.905
sampleLengths
054
115
29
335
488
524
62
713
842
94
104
1132
125
1327
146
1551
1612
1727
187
1974
2021
2126
223
231
2412
257
262
2761
2815
295
3012
3150
325
3331
344
3532
368
3727
383
3951
4023
4141
4218
437
4425
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences82
matches
0"been sealed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs107
matches(empty)
69.60% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount0
flaggedSentences3
totalSentences117
ratio0.026
matches
0"The victim's shoes—black oxfords—gleamed under the work lamps."
1"A faint draft carried the smell of wet stone and something else—burning fat, maybe, and spice."
2"Harlow pulled the compass from her coat pocket—the brass one from the victim's jacket, bagged and tagged, but she'd signed it out before the techs arrived."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount628
adjectiveStacks0
stackExamples(empty)
adverbCount9
adverbRatio0.014331210191082803
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences117
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences117
mean8.73
std7.08
cv0.811
sampleLengths
017
110
211
316
412
53
66
73
87
928
105
1121
127
1310
146
1512
1610
1717
185
1919
202
2113
223
2310
242
256
268
2711
281
291
304
313
321
3332
345
3527
362
374
389
397
402
418
422
4323
442
4510
4610
476
487
494
72.93% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.452991452991453
totalSentences117
uniqueOpeners53
45.66% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences73
matches
0"Somewhere behind the wall, a"
ratio0.014
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount17
totalSentences73
matches
0"She ducked under the tape"
1"She touched the sole of"
2"She picked up the bone"
3"It had a notch on"
4"She'd seen one before, in"
5"Her jaw tightened."
6"She set the token down."
7"She put her palm against"
8"He pressed his hand to"
9"His mouth opened, then closed."
10"She flipped the lid."
11"She stepped right."
12"It followed again."
13"She held the compass against"
14"She looked at the victim's"
15"She thought of Morris, of"
16"She didn't say his name."
ratio0.233
21.64% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount64
totalSentences73
matches
0"The access shaft dropped from"
1"Harlow climbed down steel rungs,"
2"Police work lamps stood on"
3"DS Pike waited by the"
4"She ducked under the tape"
5"Pike jerked his chin toward"
6"Harlow walked the platform edge."
7"Dust lay thick on the"
8"Uniforms had already trampled a"
9"The victim lay on his"
10"Blood had gathered beneath his"
11"A bone token rested in"
12"Pike crouched at the circle."
13"Harlow leaned closer."
14"The chalk lines crossed the"
15"The victim's shoes—black oxfords—gleamed under"
16"She touched the sole of"
17"Pike looked up."
18"Harlow walked around the circle"
19"The chalk lines ran under"
ratio0.877
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences73
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences19
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags11
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount1
fancyTags
0"Harlow pressed (press)"
dialogueSentences46
tagDensity0.022
leniency0.043
rawRatio1
effectiveRatio0.043
87.5928%