Run: 2026-04-27-01KQ732HQ6SA4HPCE7BPENVPTT

Run Details

Duration:
1m 30s
Cost:
$0.013986
Provider:
Morph

Model input

System
You are an expert novelist with a gift for vivid, immersive prose. You write in tight third-person limited point of view with a strong narrative voice. Your prose is clean, precise, and engaging — you favor strong verbs, concrete details, and natural-sounding dialogue. You will be given a story bible (codex) containing canonical details about characters, locations, items, and lore. Use these details to ground your writing in the established world. Stay consistent with the codex. Write only the prose of the scene. Do not include titles, chapter headings, markdown formatting, or any commentary before or after the scene.
User/Human
<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> 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.

Model response

AI
Rain hammered the cobblestones outside The Raven’s Nest, turning the Soho district into a slick, treacherous grid. Quinn hated weather like this. It blurred edges, muffled footfalls, played favorites with shadows. But it also washed away the city’s polite veneer. Three years ago, beneath a sky just as heavy, DS Morris had vanished into a fog that shouldn’t have existed. She’d spent a thousand hours learning to read the gaps between what was lawful and what was not. Eighteen years on the Metropolitan Police didn’t prepare you for the things that waited beneath the asphalt. Still, the training held. Her frame stayed loose, shoulders rolled forward, eyes tracking the black-wet coat two alleys ahead. The suspect didn’t run. That was the tell. Running meant panic. This was tactical. They knew the grid. Quinn favored the perimeter, cutting corners with the economical stride of someone who’d spent a decade on active shooter drills and midnight stakeouts. Her left wrist tapped against her thigh. She glanced down. The worn leather strap of her watch caught the dim streetlamp glow. Twenty-three fourteen. Full moon rising. Of course. The calendar never lied, though she still didn’t trust what it promised. She slipped beneath a rusted fire escape, boots hitting wet brick. The suspect’s footsteps echoed deeper ahead, a rhythmic slap-slap-slap against steel grating. Quinn pressed her back to the alley wall, tasting exhaust and damp wool. She’d been tailing the clique’s money trail for months. Shell corporations. Off-book clinics. Hushed transfers. Tonight, the trail had a pulse. A courier. Small. Fast. Moving with purpose toward Camden. Quinn adjusted her grip on her service piece, unholstered but safe, fingers resting on the beavertail. She moved. The courier reached a concrete staircase swallowed by scaffolding and police tape. Abandoned Tube access. Circle line. Pre-war demolition. Quinn didn’t hesitate. She cut the yellow tape with her pocket knife, stepped through. The concrete steps descended into a throat of cold, damp air. Each step echoed. The smell changed. Ozone. Wet limestone. Something underneath it sweet, coppery, like crushed marigolds and old blood. The courier reached the bottom first. A heavy iron door, rusted at the hinges, stood ajar. Beyond it, a brass plaque caught the feeble light. Quinn crouched, peering over the concrete lip. A figure heavy wool coat stepped up to the door. From a leather pouch, they drew a token. Not metal. Bone. Carved with spirals, worn smooth by thumb and forefinger. They pressed it to a lock mechanism that wasn’t a lock. It was a reader. A scanner for something else. The door clicked. Aged hinges groaned. The courier slipped inside. Quinn’s breath caught. Her training screamed protocols. Secure perimeter. Call it in. Wait for backup. But backup was a lie in this neighborhood. Backup meant paperwork, red tape, and another three years wondering where Morris went. She looked at her watch again. Twenty-three seventeen. Rain fell harder now, drumming against the concrete canopy above. The iron door stood open only a slit. Darkness pooled inside. She could smell it now. Alchemical, yes, but wrong. The air felt heavy, thick as velvet. The Veil Market. She’d seen the whispers in forensic reports, the missing persons overlapping with black-market transactions nobody could trace. Bone tokens. Full-moon rotations. She’d dismissed it as urban legend until the pattern matched. Quinn slid her gun into her waistband, checked the chamber, and stepped down the remaining six stairs. Her boots hit stone. She closed the distance to the iron door. Pushed it. It yielded with a low, mournful groan. The space beyond was impossible. Not a stairwell. A cavernous hall stripped of its twentieth-century scaffolding. The ceiling arched high above, lost in shadow. The walls were rough-hewn stone, veined with strange luminescent residue. Lanterns burned with cold blue flame. Stalls lined the perimeter, draped in heavy velvet, hawking things that made her stomach turn. Vials of swirling silver. Bundles of dried herbs that pulsed faintly. Scrolls. Codices. Ledgers. The air thrummed with hushed voices. Transactions. A black market operating in the open, but not the open she knew. The Veil Market. And it was shifting. Tonight’s full moon meant rotation. Everything would shift soon. She had minutes. She moved along the perimeter, boots silent on the packed earth floor. Shadows clung to her coat. She needed the courier. She needed the clique. Then she saw him. Leaning against a stone pillar near a stall trading in glass orbs and iron-bound ledgers. Tall. Nearly six feet. Olive skin. Short, dark brown curls plastered to his forehead by the humidity. Tomás Herrera. Twenty-nine. Former paramedic. The Med had lost his badge after treating patients who didn’t play by NHS rules. Quinn had run his file twice. Off-book medical supply chain. He wasn’t the courier. He was the triage. The medic. He was watching the crowd with those warm brown eyes. Calm. Assessing. A silver medallion peeked from his collar. Saint Christopher. Protector of travelers. Fitting. Quinn stepped into his line of sight. He didn’t flinch. Just looked up. His gaze raked over her, lingering on her height, her stance, the way she held herself like she was ready to strike. You’re loud for a ghost, Detective. She froze. Her name in the heavy air. He knew. Of course he did. The clique didn’t operate in silos. Mr. Herrera. Tomás. He didn’t smile. His voice was low, steady. That’s what they call me when they want stitches or sedatives. You’re not here for either. I’m here for the courier. Tomás’s eyes narrowed. His left forearm shifted. A jagged scar ran along his left forearm, a knife attack. She’d seen the police report. Unarmed suspect. No witnesses. Just a shadow and a cut. You shouldn’t have followed them down here. This doesn’t run on Met jurisdiction. It runs on evidence. Quinn took a step closer. Where did they go? They went where the moon points. You know what happens when the moon points. They vanish. They trade. They disappear into places your precinct reports can’t touch. She didn’t blink. And when I pull this market clean, you go with them. And Morris doesn’t get left behind. Tomás’s expression flickered. Just a millisecond. Then he leaned in. Morris didn’t vanish, Quinn. He was taken. There’s a difference. And if you take one more step past that threshold, you’ll know why. Quinn looked past him. The crowd shifted. A velvet curtain parted. Beyond lay a deeper dark. Stone stairs descending again. The air grew colder. The bone token had opened more than a stall. It had opened a gate. The market was shifting. The floor hummed beneath her boots. Every instinct screamed to retreat. To call it in. To live to file another report. But eighteen years of wearing the badge had taught her one thing. Hesitation gets good people killed. She’d lost Morris to the dark. She wouldn’t lose herself to fear. She stepped past Tomás. The curtain swallowed her. The door clicked shut behind her. The market dissolved into a roar of footsteps and fading voices. She was in. And she wasn't coming back without answers.
created_at"2026-04-27T09:07:09.169Z" 4/27/2026, 9:07:09 AM
model"qwen/qwen3.6-27b-20260422"
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external_user(null)
streamedtrue
cancelledfalse
latency1001
moderation_latency(null)
generation_time90299
tokens_prompt914
tokens_completion6297
native_tokens_prompt870
native_tokens_completion5628
native_tokens_completion_images(null)
native_tokens_reasoning4435
native_tokens_cached832
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"
usage0.0139857
router(null)
provider_responses
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endpoint_id"826cab4e-dc26-4472-83be-e4ddd5ebd2ab"
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is_byokfalse
latency882
model_permaslug"qwen/qwen3.6-27b-20260422"
provider_name"Morph"
status200
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Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1182
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)
45.01% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1182
totalAiIsms13
found
0
word"treacherous"
count1
1
word"footsteps"
count2
2
word"echoed"
count2
3
word"rhythmic"
count1
4
word"pulse"
count1
5
word"velvet"
count3
6
word"stomach"
count1
7
word"pulsed"
count1
8
word"flickered"
count1
highlights
0"treacherous"
1"footsteps"
2"echoed"
3"rhythmic"
4"pulse"
5"velvet"
6"stomach"
7"pulsed"
8"flickered"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes narrowed"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences202
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount0
narrationSentences202
filterMatches
0"watch"
1"know"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences202
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen23
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1182
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
95.01% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions44
wordCount1182
uniqueNames18
maxNameDensity1.1
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Raven1
Nest1
Soho1
Morris5
Metropolitan1
Police1
Camden1
Tube1
Veil2
Market2
Herrera2
Med1
Christopher1
Detective1
Met1
Quinn13
Tomás5
You4
persons
0"Nest"
1"Morris"
2"Police"
3"Market"
4"Herrera"
5"Med"
6"Christopher"
7"Quinn"
8"Tomás"
9"You"
places
0"Raven"
1"Soho"
2"Camden"
globalScore0.95
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences80
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1182
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences202
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs19
mean62.21
std52.38
cv0.842
sampleLengths
0196
184
2156
3115
438
5108
6101
766
822
925
105
1146
1213
1314
1413
1520
1633
1792
1835
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences202
matches
0"was taken"
82.53% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs227
matches
0"was shifting"
1"was watching"
2"was shifting"
3"wasn't coming"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences202
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1196
adjectiveStacks0
stackExamples(empty)
adverbCount19
adverbRatio0.01588628762541806
lyAdverbCount4
lyAdverbRatio0.0033444816053511705
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences202
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences202
mean5.85
std4.39
cv0.751
sampleLengths
017
15
29
39
420
518
617
74
815
94
104
113
123
134
1423
157
163
1712
182
193
202
2112
2211
2312
2413
259
262
272
282
296
302
311
321
335
3416
352
3612
373
382
392
403
4111
4211
433
443
451
462
4711
486
4910
62.71% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats15
diversityRatio0.4207920792079208
totalSentences202
uniqueOpeners85
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount7
totalSentences159
matches
0"Then she saw him."
1"Nearly six feet."
2"Just looked up."
3"Of course he did."
4"Just a shadow and a"
5"Just a millisecond."
6"Then he leaned in."
ratio0.044
99.25% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount48
totalSentences159
matches
0"It blurred edges, muffled footfalls,"
1"She’d spent a thousand hours"
2"Her frame stayed loose, shoulders"
3"They knew the grid."
4"Her left wrist tapped against"
5"She glanced down."
6"She slipped beneath a rusted"
7"She’d been tailing the clique’s"
8"She cut the yellow tape"
9"They pressed it to a"
10"It was a reader."
11"Her training screamed protocols."
12"She looked at her watch"
13"She could smell it now."
14"She’d seen the whispers in"
15"She’d dismissed it as urban"
16"Her boots hit stone."
17"She closed the distance to"
18"It yielded with a low,"
19"She had minutes."
ratio0.302
82.64% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount120
totalSentences159
matches
0"Quinn hated weather like this."
1"It blurred edges, muffled footfalls,"
2"She’d spent a thousand hours"
3"Her frame stayed loose, shoulders"
4"The suspect didn’t run."
5"That was the tell."
6"Running meant panic."
7"This was tactical."
8"They knew the grid."
9"Quinn favored the perimeter, cutting"
10"Her left wrist tapped against"
11"She glanced down."
12"The worn leather strap of"
13"The calendar never lied, though"
14"She slipped beneath a rusted"
15"The suspect’s footsteps echoed deeper"
16"Quinn pressed her back to"
17"She’d been tailing the clique’s"
18"Tonight, the trail had a"
19"Quinn adjusted her grip on"
ratio0.755
62.89% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences159
matches
0"To call it in."
1"To live to file another"
ratio0.013
87.91% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences39
technicalSentenceCount3
matches
0"Quinn favored the perimeter, cutting corners with the economical stride of someone who’d spent a decade on active shooter drills and midnight stakeouts."
1"They pressed it to a lock mechanism that wasn’t a lock."
2"Stalls lined the perimeter, draped in heavy velvet, hawking things that made her stomach turn."
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
93.9314%