Run: 2026-02-17-01KHNEWEKA0GF2F9G3V25YSZDC

Run Details

Duration:
1m 54s
Cost:
$0.001530
Provider:
SambaNova

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
The rain fell in sheets, a cold, grey curtain that slicked the cobbles of Soho and turned the neon signs into bleeding watercolors. Detective Harlow Quinn’s breath clouded the air in sharp, controlled puffs, her movements an exercise in military precision even as her heart hammered against her ribs. Ahead, a figure—a smear of dark clothing and panic—shoved past a group of tourists huddled under an awning, sending a burst of angry shouts into the wet night. “Met Police! Stop!” Her voice was a whip-crack, swallowed almost instantly by the drumming rain Of course he didn’t. He was her only lead. A low-level fence named Danny “Fingers” McGraw, who’d suddenly developed a bankroll far beyond his usual pickpocketing take. The case was a tangle of missing persons with odd, unexplainable details—faint, phosphorescent residue at one scene, whispers of strange symbols at another. Echoes of the case that had taken Morris. Quinn pushed the thought down, a familiar, cold stone in her gut. Focus. McGraw ducked into an alleyway so narrow it was little more than a fissure between two buildings. Quinn followed, her shoulder scraping against wet brick. The alley opened onto a slightly wider service lane, cluttered with overflowing bins and the sour smell of decay. McGraw was faster than he looked, scrambling over a chain-link fence with a clatter. Quinn took the fence cleanly, the worn leather of her watch strap catching for a second on the cold metal. She landed with a splash in a deep puddle, the water soaking through her trousers. She ignored it. Her sharp jaw was set, her brown eyes fixed on her quarry as he disappeared through a rusted service door. She wrenched the door open. It led not into a building, but down. A set of steep, concrete stairs descended into darkness, smelling of damp earth and ozone. The sound of the rain faded, replaced by a low, subterranean murmur. A green neon sign, flickering erratically, cast a sickly glow over a heavy oak door at the bottom. *The Raven’s Nest*. Silas’s bar. A known haunt for the city’s stranger elements. She descended, her hand resting on the butt of her service weapon. The door to the bar was slightly ajar. She pushed it open. The air inside was thick with the smell of old wood, spilled beer, and something else, something metallic and sharp she couldn’t name. The bar was a long, dark throat, the walls lined with yellowed maps and photographs of a London that no longer existed. A few patrons hunched over their drinks, their faces obscured by shadow. None of them looked up. None of them seemed to care about the soaked detective in their midst. Behind the bar, a tall man with a face like a rumpled sheet was polishing a glass. Silas. His eyes, pale and knowing, flicked to her, then past her, towards a bookshelf stacked with old ledgers and bottles of dubious-looking liquors. It was a subtle gesture, almost imperceptible, but Quinn caught it. The bookshelf stood slightly ajar, revealing a sliver of deeper darkness behind it. The hidden room. McGraw had gone to ground. She moved quickly, weaving through the mismatched tables. As she passed a booth in the corner, a man looked up. He had warm brown eyes and short, curly dark brown hair, his olive skin looking sallow in the dim light. A faint, silvery scar ran along his left forearm. Around his neck, a Saint Christopher medallion glinted. Tomás Herrera. She knew his file. Lost his paramedic’s license for playing doctor with patients who had… unusual ailments. He was watching her with a calm, assessing intensity that felt out of place. He gave a minute, almost weary shake of his head. A warning. She ignored him. Her focus was on the bookshelf. She squeezed through the gap. The room beyond was small, windowless, and empty save for a single figure slumped against the far wall. It wasn’t McGraw. It was a young woman, her skin pale and waxy, her breathing shallow and ragged. She was unconscious, one hand curled around a small, carved bone token. A medic’s kit, unprofessional and well-used, was open on the floor beside her. Herrera’s work. A muffled scraping sound came from the opposite wall. A section of the brickwork, cleverly disguised, was swinging inward. McGraw’s panicked face appeared for a second in the new darkness before he vanished into it. Quinn hesitated. This was beyond procedure. This was off the map. She had a sick woman who needed help and a suspect fleeing into a hole in the wall. The choice was a physical weight on her shoulders. She keyed her radio. “Dispatch, this is Detective Quinn. I require immediate medical assistance at The Raven’s Nest, Soho. Unconscious female, location is a back room. Suspect has fled the scene through an unknown egress. I am in pursuit.” The static that hissed back was thick, distorted, as if the signal was struggling to penetrate the old walls. She wasn’t sure the message had gone through. Cursing under her breath, she made her choice. She couldn’t let McGraw vanish. Not with what he might know. She left the woman, trusting that Silas or the unsettlingly calm Herrera would do something, and plunged into the opening. A narrow, rough-hewn tunnel sloped sharply downward. The air grew colder, carrying with it a bizarre cacophony—the murmur of a crowd, the clink of glass, strange, melodic chimes, and the low thrum of something that felt like a misplaced heartbeat. The tunnel ended at an archway, and the world opened up. Quinn stopped dead, her breath catching in her throat. She stood on a metal gantry overlooking a vast, cavernous space. It was an abandoned Tube station, its old tiled walls now covered with vibrant, chaotic graffiti depicting symbols and creatures from a fever dream. Below, stretching along the ghost of a platform and into the dark tunnels beyond, was a market. But it was like no market she had ever seen. Stalls made of scrap metal and rich velvet were lit by glowing orbs that floated in the air, casting shifting, unnatural light. The crowd was a tapestry of the bizarre. A woman with iridescent scales dusted across her cheekbones haggled over a jar of swirling smoke. A tall figure whose shadow didn’t quite match its form examined a dagger that wept a black, oily substance. The air was thick with the scent of exotic spices, ozone, and the coppery tang of blood. The Veil Market. She’d heard the whispers, dismissed them as the ramblings of cranks and junkies. But here it was, real and humming with a dangerous energy. And there, fifty yards away, scrambling down a ladder from the gantry and melting into the throng, was McGraw. Her training screamed at her to hold back, to call for backup that would never come, to observe and assess this unbelievable crime scene. But Morris’s face flashed in her mind—his laughter, the confusion in his eyes just before it all went wrong. This place, this underground world, was connected. She knew it in her bones. Clenching her jaw, her salt-and-pepper hair plastered to her scalp, Quinn descended the ladder. The hum of the market seemed to intensify, a physical pressure against her skin. She moved through the crowd, her posture rigid, her eyes scanning constantly. People turned to look at her, their gazes curious, hostile, or unnervingly blank. She was an intruder here. A predator who had wandered into a much larger, much darker jungle. She spotted McGraw ducking behind a stall selling what looked like bottled lightning. She quickened her pace, her hand never leaving her weapon. A man stepped into her path. He was gaunt, dressed in immaculate, out-of-fashion clothes. He didn’t speak, just held out a skeletal hand. In his palm lay a small, carved bone token, identical to the one clutched by the sick woman upstairs. The entry requirement. “The market has rules, little knife,” he whispered, his voice like dry leaves skittering on stone. “You cut, you pay. You have not paid.” Beyond him, McGraw glanced back, a flash of triumph in his eyes, before he disappeared around a corner into one of the dark, branching tunnels. Quinn stared at the token, then at the gaunt man. She was in their territory now. Deep in it. The rules had changed. She could either pay the price for entry or be bled dry. The chase was over. The real danger had just begun.
created_at"2026-02-17T09:30:37.202101+00:00" 2/17/2026, 9:30:37 AM
model"deepseek/deepseek-chat-v3.1"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1810
moderation_latency(null)
generation_time113670
tokens_prompt931
tokens_completion2139
native_tokens_prompt827
native_tokens_completion1874
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.00152955
router(null)
provider_responses
0
id"efeac4d1-bce9-4b6b-aa8d-92dc24731ca4"
status200
is_byokfalse
latency1752
endpoint_id"1dda4bb9-c626-4816-bb54-99665323fef0"
provider_name"SambaNova"
model_permaslug"deepseek/deepseek-chat-v3.1"
api_type"completions"
id"gen-1771320523-6hf5dltBdwBoM6OeUQLX"
upstream_id"efeac4d1-bce9-4b6b-aa8d-92dc24731ca4"
total_cost0.00152955
cache_discount(null)
upstream_inference_cost0
provider_name"SambaNova"

Evaluation details

Result Evaluator Details Meta Data
0.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags4
adverbTagCount2
adverbTags
0"a whip-crack swallowed almost [almost]"
1"The static that hissed back was thick [back]"
dialogueSentences5
tagDensity0.8
leniency1
rawRatio0.5
effectiveRatio0.5
79.02% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1430
totalAiIsmAdverbs6
found
0
adverb"suddenly"
count1
1
adverb"slightly"
count3
2
adverb"quickly"
count1
3
adverb"sharply"
count1
highlights
0"suddenly"
1"slightly"
2"quickly"
3"sharply"
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)
54.55% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1430
totalAiIsms13
found
0
word"echoes"
count1
1
word"familiar"
count1
2
word"flicked"
count1
3
word"intensity"
count1
4
word"weight"
count1
5
word"cacophony"
count1
6
word"chaotic"
count1
7
word"velvet"
count1
8
word"tapestry"
count1
9
word"clenching"
count1
10
word"scanning"
count1
11
word"predator"
count1
12
word"quickened"
count1
highlights
0"echoes"
1"familiar"
2"flicked"
3"intensity"
4"weight"
5"cacophony"
6"chaotic"
7"velvet"
8"tapestry"
9"clenching"
10"scanning"
11"predator"
12"quickened"
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
emotionTells0
narrationSentences120
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount2
narrationSentences120
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)
analyzedSentences121
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen54
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords3
totalWords1417
ratio0.002
matches
0"The Raven’s Nest"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions37
wordCount1364
uniqueNames15
maxNameDensity0.73
worstName"McGraw"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Soho1
Harlow1
Quinn9
Danny1
McGraw10
Morris2
Raven1
London1
Saint1
Christopher1
Herrera3
Silas3
Tube1
Veil1
Market1
persons
0"Harlow"
1"Quinn"
2"Danny"
3"McGraw"
4"Morris"
5"Raven"
6"Saint"
7"Christopher"
8"Herrera"
9"Silas"
10"Market"
places
0"Soho"
1"London"
globalScore1
windowScore1
66.67% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences90
glossingSentenceCount3
matches
0"felt like a misplaced heartbeat"
1"quite match its form examined a dagger that wept a black, oily substance"
2"looked like bottled lightning"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.706
wordCount1417
matches
0"not into a building, but down"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences121
matches
0"trusting that Silas"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs30
mean47.23
std24.07
cv0.51
sampleLengths
077
119
267
358
458
571
624
775
865
98
10102
1114
1263
1335
1438
1566
1639
1751
189
1962
2082
2127
2219
2356
2470
2523
2645
2724
2825
2945
99.42% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences120
matches
0"were lit"
1"was connected"
83.55% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs229
matches
0"was polishing"
1"was watching"
2"was swinging"
3"was struggling"
48.41% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount0
flaggedSentences4
totalSentences121
ratio0.033
matches
0"Ahead, a figure—a smear of dark clothing and panic—shoved past a group of tourists huddled under an awning, sending a burst of angry shouts into the wet night."
1"The case was a tangle of missing persons with odd, unexplainable details—faint, phosphorescent residue at one scene, whispers of strange symbols at another."
2"The air grew colder, carrying with it a bizarre cacophony—the murmur of a crowd, the clink of glass, strange, melodic chimes, and the low thrum of something that felt like a misplaced heartbeat."
3"But Morris’s face flashed in her mind—his laughter, the confusion in his eyes just before it all went wrong."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1377
adjectiveStacks0
stackExamples(empty)
adverbCount42
adverbRatio0.030501089324618737
lyAdverbCount17
lyAdverbRatio0.012345679012345678
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences121
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences121
mean11.71
std7.86
cv0.671
sampleLengths
023
126
228
319
45
518
623
78
812
91
1017
118
1219
1314
1420
1515
163
1720
185
198
2015
2112
2218
233
242
258
2612
278
284
2923
3022
3112
325
3313
3417
351
3623
3711
3813
393
405
418
4212
4320
449
458
462
474
4811
492
38.57% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats15
diversityRatio0.30578512396694213
totalSentences121
uniqueOpeners37
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences112
matches(empty)
ratio0
73.57% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount41
totalSentences112
matches
0"Her voice was a whip-crack,"
1"He was her only lead."
2"She landed with a splash"
3"She ignored it."
4"Her sharp jaw was set,"
5"She wrenched the door open."
6"It led not into a"
7"She descended, her hand resting"
8"She pushed it open."
9"His eyes, pale and knowing,"
10"It was a subtle gesture,"
11"She moved quickly, weaving through"
12"He had warm brown eyes"
13"She knew his file."
14"He was watching her with"
15"He gave a minute, almost"
16"She ignored him."
17"Her focus was on the"
18"She squeezed through the gap."
19"It wasn’t McGraw."
ratio0.366
35.89% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount95
totalSentences112
matches
0"The rain fell in sheets,"
1"Detective Harlow Quinn’s breath clouded"
2"Her voice was a whip-crack,"
3"He was her only lead."
4"A low-level fence named Danny"
5"The case was a tangle"
6"Echoes of the case that"
7"Quinn pushed the thought down,"
8"McGraw ducked into an alleyway"
9"Quinn followed, her shoulder scraping"
10"The alley opened onto a"
11"McGraw was faster than he"
12"Quinn took the fence cleanly,"
13"She landed with a splash"
14"She ignored it."
15"Her sharp jaw was set,"
16"She wrenched the door open."
17"It led not into a"
18"A set of steep, concrete"
19"The sound of the rain"
ratio0.848
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences112
matches(empty)
ratio0
73.73% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences62
technicalSentenceCount6
matches
0"The rain fell in sheets, a cold, grey curtain that slicked the cobbles of Soho and turned the neon signs into bleeding watercolors."
1"Lost his paramedic’s license for playing doctor with patients who had…"
2"He was watching her with a calm, assessing intensity that felt out of place."
3"The air grew colder, carrying with it a bizarre cacophony—the murmur of a crowd, the clink of glass, strange, melodic chimes, and the low thrum of something tha…"
4"Stalls made of scrap metal and rich velvet were lit by glowing orbs that floated in the air, casting shifting, unnatural light."
5"A tall figure whose shadow didn’t quite match its form examined a dagger that wept a black, oily substance."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags4
uselessAdditionCount0
matches(empty)
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount2
fancyTags
0"The static that hissed back was thick (hiss be)"
1"he whispered (whisper)"
dialogueSentences5
tagDensity0.4
leniency0.8
rawRatio1
effectiveRatio0.8
75.1124%