Run: 2026-09-03-01M1KRVXVC7552RMW0WEV8MS44

Run Details

Duration:
16.1s
Cost:
$0.002532
Provider:
DeepInfra

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 Soho street in sheets, running in rivulets off the awnings and pooling in the gutters where neon bled into it. Harlow Quinn pulled her coat tighter against the wind and kept her eyes on the figure three meters ahead. He was half a head shorter than her, olive skin darkened by the night, short curly dark brown hair plastered to his forehead. The medallion at his throat caught the green wash from the sign above The Raven’s Nest and glinted once before he ducked. Quinn’s boots struck the wet pavement with a deliberate, even cadence. Military precision had kept her alive for eighteen years and it kept her from slipping now. Her watch, worn leather cracked at the strap, counted the seconds against her left wrist. Forty-one years old and she still ran like she was on the parade ground, sharp jaw set, brown eyes narrowed against the rain. He knew the alleys. He shouldn’t, not a man born in Seville who’d been in London less than five years. But he knew them, cutting left past a shuttered curry house, then right through a service yard stacked with black recycling bins. The Saint Christopher medallion swung as he ran. Tomás Herrera. Tommy. The name had surfaced in three separate incident reports she’d pulled that week: an overdose on Blackfriars Bridge where the tox screen came back blank, a missing persons case in Camden where the family swore the boy had been “treated” by a paramedic off the books, a fire at a warehouse in Bethnal Green where the only survivor walked out with a scar along his left forearm that matched the description in the hospital photographs she’d found under a false name. She’d lost Morris three years ago on a case that had no business having unexplained circumstances. She still didn’t understand what had taken him, only that she would not let another ghost slip through her fingers because she hesitated at a threshold. Tomás stopped abruptly at the mouth of an alley behind a laundrette. He pressed his back to brick, breathing hard, listening. Quinn slowed, pistol still holstered, hand resting on the grip. The rain drummed on corrugated roofing above them. Somewhere a tube train rattled. He moved again, faster, down a narrow stairwell she hadn’t seen until he was already halfway down. The stairwell smelled of damp concrete and old oil. At the bottom a steel door, propped open with a brick, led to a service tunnel. Cold air rose from it. Quinn hesitated at the top step. The rain slicked the concrete under her shoes. The sign for The Raven’s Nest was still visible over her shoulder, its distinctive green neon buzzing and flickering against the black windows of Soho. Inside, behind the bar lined with old maps and black-and-white photographs, there was a hidden back room accessible through a bookshelf. She’d put a warrant in for that room three days ago and been told the bookshelf was empty. She knew better. Tomás was going down. She could call it in. She could wait for backup, for a proper search warrant for whatever lay beneath Camden. She could do the by-the-book thing that would keep her pension clean and her superiors happy. The scar on his left forearm caught the weak bulb light as he turned his wrist, checking the medallion. He’d administered unauthorized treatments to supernatural patients, the file said. Lost his license for it. The Metropolitan Police detective in her wanted to know why a disgraced paramedic was running. The other part of her, the part that had watched Morris bleed out in a room that shouldn’t have existed, wanted to follow. Quinn took the stairs. The tunnel was low and narrow, the walls sweating. The air changed as she descended, growing colder and thinner, smelling of earth and iron. Every twenty meters, a rusted sign pointed to disused platforms. She passed a graffiti tag that had been painted over and painted over again, the old layers ghosting through. Footsteps ahead, uneven on loose gravel. Tomás wasn’t running now; he was moving with purpose, as if he knew the route. He paused at a junction where three tunnels met. One was blocked with a fallen support beam. The second led back toward the surface. The third dropped steeply, a spiral stair carved into rock, with no light at all. She could hear him breathe. He wasn’t alone. A soft voice, accented, Spanish, low. “Tommy, you shouldn’t be here.” He answered in the same language, quick and defensive. “I have the token.” The word hit her like a slap. Bone token. The Veil Market entry requirement. She’d read the chatter in the intelligence files, the rumors of an underground market that sold enchanted goods, banned alchemical substances, information. It moved locations every full moon. Current location, according to the last informant: abandoned Tube station beneath Camden. She was beneath Camden. The tunnel ahead opened into a cavernous space that should not have been there. The roof arched high above, supported by iron girders draped in hanging moss that glowed faintly blue. Stalls lined the walls, makeshift tables covered with jars that pulsed, vials that steamed despite the cold, and bundles of herbs that smelled wrong, too sweet. Figures moved between them, some human, some not quite. The light came from nowhere and everywhere, a dim amber that made the rain on the surface seem a world away. Tomás stood at the edge of the market, a small carved bone clenched in his fist, his Saint Christopher medallion catching the strange light. He wasn’t a buyer. He was a courier. Or a healer. The scar on his forearm was fresh, pink at the edges, as if it had been reopened. A woman stepped in front of him, tall, with hair the color of ash. She held out a hand. “Payment.” Tomás hesitated, glanced back toward the stairwell. His eyes met Quinn’s for a half second before he looked away. He didn’t run. He handed over the bone token. Quinn’s fingers tightened on her coat. She was alone, twenty feet above the market floor, with no radio signal, no backup, and no warrant for a place that didn’t officially exist. The market shifted every full moon; by morning it could be gone, and any evidence with it. She could pull back now, note the location, build a case, come back with a team and proper authority. Or she could step down into the dark and see what her partner had died trying to understand. Her watch ticked against her wrist. Rain still fell above, somewhere far away. She thought of Morris’s last report, the one that had been redacted beyond recognition. She thought of the blank tox screens and the boy who walked out of a fire unscathed. She thought of the bookshelf behind The Raven’s Nest and the clandestine meetings that happened there, and the fact that Tomás Herrera kept showing up at every dead end. The market murmured below, a low trade of whispers and barter. Quinn took a breath, pushed the pistol down from the holster, and began to descend the spiral stair into the unfamiliar and potentially dangerous territory, each step deliberate, each breath measured, her sharp jaw set against the cold that rose to meet her.
created_at"2026-09-03T13:55:52.31Z" 9/3/2026, 1:55:52 PM
model"meta/muse-glimmer-30b-20260810"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency219
moderation_latency(null)
generation_time16071
tokens_prompt888
tokens_completion2438
native_tokens_prompt830
native_tokens_completion2041
native_tokens_completion_images(null)
native_tokens_reasoning629
native_tokens_cached640
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)
usage0.0025318
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788443752-XVeIIVMaVoy9zfBlIz5h"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788443752-GZLK4bzmlejrISw4dclK"
upstream_id"chatcmpl-RFVDZE6Eh0XFMA5ieV8LPMLp"
provider_responses
0
endpoint_id"a9912acb-568e-4147-8ed3-5d20aea22135"
id"chatcmpl-RFVDZE6Eh0XFMA5ieV8LPMLp"
is_byokfalse
latency129
model_permaslug"meta/muse-glimmer-30b-20260810"
provider_name"DeepInfra"
status200
total_cost0.0025318
cache_discount0.0001664
upstream_inference_cost0
provider_name"DeepInfra"
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
totalTags1
adverbTagCount0
adverbTags(empty)
dialogueSentences4
tagDensity0.25
leniency0.5
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1218
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)
83.58% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1218
totalAiIsms4
found
0
word"footsteps"
count1
1
word"pulsed"
count1
2
word"clandestine"
count1
3
word"measured"
count1
highlights
0"footsteps"
1"pulsed"
2"clandestine"
3"measured"
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
narrationSentences91
matches(empty)
95.76% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences91
filterMatches
0"watch"
hedgeMatches
0"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences94
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen81
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1218
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions48
wordCount1207
uniqueNames22
maxNameDensity0.66
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Soho2
Quinn8
Raven3
Nest3
Seville1
London1
Saint2
Christopher2
Herrera2
Blackfriars1
Bridge1
Camden4
Bethnal1
Green1
Morris3
Metropolitan1
Police1
Spanish1
Veil1
Market1
Tube1
Tomás7
persons
0"Quinn"
1"Raven"
2"Saint"
3"Christopher"
4"Herrera"
5"Morris"
6"Market"
7"Tomás"
places
0"Soho"
1"Seville"
2"London"
3"Blackfriars"
4"Bridge"
5"Camden"
6"Bethnal"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences71
glossingSentenceCount1
matches
0"not quite"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1218
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences94
matches
0"pulled that week"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs31
mean39.29
std24.19
cv0.616
sampleLengths
042
145
265
350
484
542
644
747
881
94
1036
1149
1223
134
1453
1560
168
1711
1813
1954
204
2187
2252
2320
2428
2567
2618
2713
2860
2911
3043
85.98% Passive voice overuse
Target: ≤2% passive sentences
passiveCount5
totalSentences91
matches
0"been told"
1"been painted"
2"was blocked"
3"been reopened"
4"been redacted"
95.83% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs192
matches
0"was going"
1"was running"
2"wasn’t running"
82.07% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount2
flaggedSentences2
totalSentences94
ratio0.021
matches
0"Tomás wasn’t running now; he was moving with purpose, as if he knew the route."
1"The market shifted every full moon; by morning it could be gone, and any evidence with it."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1212
adjectiveStacks0
stackExamples(empty)
adverbCount34
adverbRatio0.028052805280528052
lyAdverbCount9
lyAdverbRatio0.007425742574257425
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences94
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences94
mean12.96
std10.51
cv0.811
sampleLengths
023
119
223
322
411
516
615
723
84
916
1022
118
122
131
1481
1516
1626
1712
189
1910
208
215
2217
239
2416
255
266
278
2825
2921
3018
313
324
335
3415
3516
3619
3710
385
3915
4023
414
429
4315
4410
4519
466
4715
489
498
38.30% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats14
diversityRatio0.3191489361702128
totalSentences94
uniqueOpeners30
37.88% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences88
matches
0"Somewhere a tube train rattled."
ratio0.011
65.45% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount34
totalSentences88
matches
0"He was half a head"
1"Her watch, worn leather cracked"
2"He knew the alleys."
3"He shouldn’t, not a man"
4"She’d lost Morris three years"
5"She still didn’t understand what"
6"He pressed his back to"
7"He moved again, faster, down"
8"She’d put a warrant in"
9"She knew better."
10"She could call it in."
11"She could wait for backup,"
12"She could do the by-the-book"
13"He’d administered unauthorized treatments to"
14"She passed a graffiti tag"
15"He paused at a junction"
16"She could hear him breathe."
17"He wasn’t alone."
18"He answered in the same"
19"She’d read the chatter in"
ratio0.386
33.86% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount75
totalSentences88
matches
0"Harlow Quinn pulled her coat"
1"He was half a head"
2"The medallion at his throat"
3"Quinn’s boots struck the wet"
4"Military precision had kept her"
5"Her watch, worn leather cracked"
6"He knew the alleys."
7"He shouldn’t, not a man"
8"The Saint Christopher medallion swung"
9"The name had surfaced in"
10"She’d lost Morris three years"
11"She still didn’t understand what"
12"Tomás stopped abruptly at the"
13"He pressed his back to"
14"Quinn slowed, pistol still holstered,"
15"The rain drummed on corrugated"
16"He moved again, faster, down"
17"The stairwell smelled of damp"
18"Quinn hesitated at the top"
19"The rain slicked the concrete"
ratio0.852
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences88
matches(empty)
ratio0
40.82% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences49
technicalSentenceCount7
matches
0"She’d lost Morris three years ago on a case that had no business having unexplained circumstances."
1"She could do the by-the-book thing that would keep her pension clean and her superiors happy."
2"She passed a graffiti tag that had been painted over and painted over again, the old layers ghosting through."
3"She’d read the chatter in the intelligence files, the rumors of an underground market that sold enchanted goods, banned alchemical substances, information."
4"The roof arched high above, supported by iron girders draped in hanging moss that glowed faintly blue."
5"Stalls lined the walls, makeshift tables covered with jars that pulsed, vials that steamed despite the cold, and bundles of herbs that smelled wrong, too sweet."
6"She thought of the bookshelf behind The Raven’s Nest and the clandestine meetings that happened there, and the fact that Tomás Herrera kept showing up at every …"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags1
uselessAdditionCount0
matches(empty)
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount1
fancyTags
0"The name had (have)"
dialogueSentences4
tagDensity0.25
leniency0.5
rawRatio1
effectiveRatio0.5
81.9846%