Run: 2026-10-20-01M5C6D2FX6CJ3JG7VV3ED0M24

Run Details

Duration:
20.1s
Cost:
$0.000960
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 cobbles on Greek Street, chasing stray bits of litter into the gutter. Harlow Quinn kept her stride even, boots striking the wet stone. The man ahead of her—Tomás Herrera, the scar on his forearm a pale streak under the sodium lights—threw a glance over his shoulder. His dark curls were flattened by the downpour, his jacket soaked through. He turned right, toward a narrow alley that swallowed the streetlight whole. Quinn followed without breaking step. Her hand rested on her holster. The leather watch on her wrist caught a trace of light and went dark again. She rounded the corner. The alley reeked of wet brick and old grease. Herrera was twenty paces ahead, moving fast. His Saint Christopher medallion swung as he ran. A fire escape ladder clanged. He had kicked a stack of crates. 'Don't make this hard,' Quinn called out. Her voice bounced off the damp walls. Herrera said nothing. He ducked under a low archway that led to a loading yard. His footsteps splashed through a puddle the size of a car tyre. Quinn cleared the arch a second later. The yard opened onto a construction site, the skeleton of a building rising against the bruised sky. Fences. Scaffolding. Perfect for losing a tail. 'Tomás.' She let authority fill her voice. 'You're only adding charges.' He reached the far fence and was through a gap before she could close the distance. Quinn climbed the chain-link with grit, landing hard on the other side. The ground squelched. The construction site gave way to a service road that sloped down toward Camden. Rainwater sluiced along the kerb in a steady stream. Herrera was just ahead, a dark shape against the grey. He knew where he was going. She could see it in the way he moved—not random, not desperate. Purposeful. He disappeared under a railway bridge. Quinn slowed. The bridge was old, its brickwork blackened with soot and moisture. A single bulb burned somewhere in the darkness, weak and yellow. She unsnapped her holster and drew her torch with her free hand. The beam cut through the dark. The tunnel stank of damp earth and something older, like the air from a tomb. Herrera's footsteps echoed, heading deeper. Then they stopped. 'You don't want to follow me, Detective.' His voice came from somewhere ahead. It held a strange calm. 'Come back and we can talk about it.' A low laugh. 'You don't know what you're walking into.' Quinn pressed forward. The tunnel stretched longer than it should have, sloping downward at an angle that didn't match the geography of the streets above. Her torch beam caught marks on the brick—symbols, etched deep. Circles with lines through them. She didn't recognize the script. Her radio crackled. The signal died almost instantly. Static hissed. Ahead, a light bloomed. Not electric. Something warmer and softer, like lanterns. The tunnel opened into a cavernous space she could not have anticipated. It was an underground station, abandoned and repurposed. Tiled walls arched high overhead, and the old platform had been transformed into a thoroughfare lined with stalls. Tarpaulin covered most of them, rain having found its way down through cracks. People moved in the half-light—hooded, cloaked, unfazed by the storm. The Veil Market. The name came to her from somewhere, from a file she had read and dismissed. Herrera stood at the edge of the market, waiting. Her torch beam swept the scene. Bone tokens passed from hand to hand. A woman with pupil-less eyes sold glass vials from a tray. The smell of incense and something sulphurous wafted through the wet air. 'You're in my world now,' Herrera said. He wasn't gloating. His tone was flat, matter-of-fact. 'That badge doesn't mean anything down here.' Quinn kept her gun lowered but ready. Her heart thudded against her ribs. 'You've been running from me for six blocks. You must have a reason.' 'I have reasons for everything.' He stepped closer, his scarred forearm catching the lantern light. 'You've been following the wrong thread, Detective. You want to know who killed your partner?' The name rose in her throat. Morris. Three years and she could still smell the hospital. The rain. The blood. 'Don't,' she said. Her voice was tighter than she wanted. 'I'm not your enemy.' Herrera held up both hands, palms open. 'But you follow me into this market, you'll be walking into something you can't walk out of. Not the same way.' She looked past him. A tunnel led deeper into the station, its darkness absolute. Men guarded it—three of them, broad-shouldered, silent. They watched her without blinking. One had a knuckle-duster that glinted faintly. 'You expect me to turn back.' 'I expect you to make a choice.' Herrera gestured to the market. 'My people come here because your people can't see what's right in front of their faces. You want to arrest me? Fine. But you'll have to explain how you found me. And you'll have to explain those symbols on the wall. And when you can't, they'll put you behind a desk so fast you'll forget what case you were working.' Rainwater dripped from a shattered tile overhead. The sound punctuated the silence between them. Quinn's radio crackled again. Static. Then a voice, faint and distant, calling her name. The signal vanished. 'I'm not here for you,' she said, lowering the torch. 'I'm here for Morris.' Herrera studied her. His expression shifted—something like recognition. 'Then ask the right questions,' he said. 'And leave the gun behind.' He turned and walked toward the tunnel. The guards stepped aside. Quinn looked back the way she had come. The tunnel behind her was dark now, the entrance she'd followed him through lost in shadow. She had no backup. No signal. No certainty about what she was walking into. She holstered her gun. The rain had followed her down here, and it would follow her further. She stepped forward.
created_at"2026-10-20T08:21:17.448Z" 10/20/2026, 8:21:17 AM
model"deepseek/deepseek-v4.1-flash-20261017"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency357
moderation_latency(null)
generation_time20041
tokens_prompt1104
tokens_completion1821
native_tokens_prompt1029
native_tokens_completion1590
native_tokens_completion_images(null)
native_tokens_reasoning123
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)
usage0.00095964
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1792484477-PT99TiATJMzw8TWXiqBA"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1792484477-BD93Im4KMfIOZTvDVsRL"
upstream_id"chatcmpl-f0e4eb7276f34574b95b3f845cfe60d8"
provider_responses
0
endpoint_id"66d4851d-7738-4948-9d40-2ab6dc54f895"
id"chatcmpl-f0e4eb7276f34574b95b3f845cfe60d8"
is_byokfalse
latency357
model_permaslug"deepseek/deepseek-v4.1-flash-20261017"
provider_name"Wafer"
status200
total_cost0.00095964
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
totalTags3
adverbTagCount0
adverbTags(empty)
dialogueSentences0
tagDensity1
leniency1
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount994
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)
59.76% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount994
totalAiIsms8
found
0
word"footsteps"
count2
1
word"perfect"
count1
2
word"echoed"
count1
3
word"etched"
count1
4
word"electric"
count1
5
word"shattered"
count1
6
word"silence"
count1
highlights
0"footsteps"
1"perfect"
2"echoed"
3"etched"
4"electric"
5"shattered"
6"silence"
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
narrationSentences108
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences108
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences129
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen25
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords988
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions8
unquotedAttributions0
matches(empty)
94.38% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions29
wordCount809
uniqueNames12
maxNameDensity1.11
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Greek1
Street1
Quinn9
Tomás1
Herrera7
Saint1
Christopher1
Camden1
Veil1
Market1
You3
Rainwater2
persons
0"Quinn"
1"Tomás"
2"Herrera"
3"Saint"
4"Christopher"
5"Market"
6"You"
7"Rainwater"
places
0"Greek"
1"Street"
2"Camden"
globalScore0.944
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences64
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount988
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences129
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs40
mean24.7
std18.33
cv0.742
sampleLengths
061
112
230
336
414
558
611
731
852
96
1042
1123
127
1311
148
1510
1645
1710
1873
1918
209
2136
2222
2326
2430
2520
2610
2732
2833
296
3072
3114
3217
3314
348
3512
3611
3738
384
3916
98.77% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences108
matches
0"were flattened"
1"been transformed"
62.07% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs145
matches
0"was going"
1"wasn't gloating"
2"was walking"
32.12% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount6
semicolonCount0
flaggedSentences5
totalSentences129
ratio0.039
matches
0"The man ahead of her—Tomás Herrera, the scar on his forearm a pale streak under the sodium lights—threw a glance over his shoulder."
1"She could see it in the way he moved—not random, not desperate."
2"Her torch beam caught marks on the brick—symbols, etched deep."
3"Men guarded it—three of them, broad-shouldered, silent."
4"His expression shifted—something like recognition."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount141
adjectiveStacks0
stackExamples(empty)
adverbCount2
adverbRatio0.014184397163120567
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences129
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences129
mean7.66
std4.58
cv0.598
sampleLengths
015
111
223
312
412
55
66
715
84
99
107
118
125
137
147
157
163
1712
1812
197
2017
211
221
235
247
254
2616
2712
283
2914
309
3110
326
3312
341
356
362
3711
3811
3912
406
4115
425
433
447
456
465
478
483
497
47.29% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats9
diversityRatio0.32558139534883723
totalSentences129
uniqueOpeners42
69.44% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences96
matches
0"Then they stopped."
1"Then a voice, faint and"
ratio0.021
74.17% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount35
totalSentences96
matches
0"His dark curls were flattened"
1"He turned right, toward a"
2"Her hand rested on her"
3"She rounded the corner."
4"His Saint Christopher medallion swung"
5"He had kicked a stack"
6"Her voice bounced off the"
7"He ducked under a low"
8"His footsteps splashed through a"
9"He reached the far fence"
10"He knew where he was"
11"She could see it in"
12"He disappeared under a railway"
13"She unsnapped her holster and"
14"His voice came from somewhere"
15"It held a strange calm."
16"Her torch beam caught marks"
17"She didn't recognize the script."
18"Her radio crackled."
19"It was an underground station,"
ratio0.365
27.71% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount83
totalSentences96
matches
0"Harlow Quinn kept her stride"
1"The man ahead of her—Tomás"
2"His dark curls were flattened"
3"He turned right, toward a"
4"Quinn followed without breaking step."
5"Her hand rested on her"
6"The leather watch on her"
7"She rounded the corner."
8"The alley reeked of wet"
9"Herrera was twenty paces ahead,"
10"His Saint Christopher medallion swung"
11"A fire escape ladder clanged."
12"He had kicked a stack"
13"Her voice bounced off the"
14"Herrera said nothing."
15"He ducked under a low"
16"His footsteps splashed through a"
17"Quinn cleared the arch a"
18"The yard opened onto a"
19"He reached the far fence"
ratio0.865
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences96
matches(empty)
ratio0
96.77% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences31
technicalSentenceCount2
matches
0"He turned right, toward a narrow alley that swallowed the streetlight whole."
1"The tunnel stretched longer than it should have, sloping downward at an angle that didn't match the geography of the streets above."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags3
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
85.4155%