Run: 2026-05-31-01KSYXQ9W616G4229N7276BGVB

Run Details

Duration:
43.3s
Cost:
$0.062045
Provider:
Anthropic

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 came down in sheets, turning the Soho pavement into a black mirror that broke and reformed under Detective Harlow Quinn's boots. She ran with her elbows tucked and her breathing measured, eighteen years of training keeping her stride even where a younger officer would have already burned out. Ahead of her, fifty feet and gaining nothing, the man in the dark jacket ducked between two parked cars and cut left down an alley she didn't know. She knew his name. Tomás Herrera. Former paramedic, struck off the NHS register, last seen on no camera that mattered for three weeks. She'd watched him slip out the back of the Raven's Nest twenty minutes ago, the green neon throwing his shadow long across the wet brick, and she'd followed on instinct alone—no warrant, no backup, just the old itch under her sternum that had been there since the night Morris stopped answering his radio. "Herrera!" Her voice tore out of her, swallowed instantly by the downpour. "Police—stop!" He didn't stop. They never did. The alley narrowed and stank of bins and old rain. Her foot skidded on something soft and she threw her shoulder against the wall, recovered, kept moving. Up ahead Herrera vaulted a low chain-link fence with the ease of a man twelve years younger than her, and for one ugly second she thought she'd lose him. Then he glanced back. That was the mistake amateurs made and trained men didn't. He looked, and the looking cost him a half-stride, and Quinn closed three feet of the gap before he tore his eyes forward again. She hit the fence and went over it. Landed hard, knees absorbing the shock, and ran on. They came out onto a wider street—closed shopfronts, a kebab place still throwing greasy yellow light onto the kerb, a man under an umbrella who pressed himself flat against a doorway as the two of them blew past. Camden, she registered. They'd come further north than she'd thought. The rain had picked up, fat and relentless, plastering her cropped hair to her scalp and finding the gap between her collar and her neck. Her leather watch strap had soaked through and clung cold to her wrist. Herrera cut across the road without checking. A taxi blared its horn and swerved, tyres hissing. He didn't slow. He had a destination. That changed things—a man running blind ran in loops and dead-ends, but a man running toward something ran straight, and straight was where you caught them or lost them for good. He angled toward a Tube station. Quinn's stomach tightened. Not a working one—she could see that even at speed. The hoarding around the entrance was painted over with peeling murals, the roundel above the arch faded to a ghost. Camden's bones. One of the dead stations the network had sealed off decades ago and forgotten about. Herrera hit the hoarding, found a panel that swung inward where no panel should have, and was gone into the dark. Quinn pulled up short at the gap, chest heaving, rain running off the sharp line of her jaw. Every instinct that had kept her alive for eighteen years told her to stop here. You didn't follow a suspect into the dark with no light, no backup, no knowledge of the ground. You set a perimeter. You called it in. You waited. She reached for her radio, thumbed it. "Control, this is DI Quinn, in pursuit of a suspect on foot, requesting—" Static. A thin, dead crackle, as though the device had given up the moment she crossed the threshold of the hoarding. She tried again. Nothing. The cold under her sternum spread. Three years ago Morris had gone into a place like this. A door that shouldn't open, a stretch of nothing the radios couldn't reach. She'd waited on the perimeter that night, by the book, because that was what you did. She'd been promoted twice on the strength of how well she followed the book. And Morris had never come out, and the report had said *circumstances unclear*, and no one—not the brass, not the coroner, not the priest at the funeral—had ever been able to tell her what *unclear* meant. She wasn't waiting on a perimeter again. Quinn squeezed through the gap. The hoarding swung shut behind her with a soft, final sound, and the rain became a muffled drumming somewhere above and behind. The dark resolved slowly. There were stairs going down—old tiled steps, cream and oxblood, slick with damp. A faint light bled up from below, the wrong colour for any working light, a greenish-amber that breathed. Her hand found the grip of her baton out of habit. She had no firearm. She wished, suddenly and completely, that she did. She went down. The stairwell turned, and turned again, deeper than any platform had a right to be. Sound changed. The drip of water, yes, and her own footsteps, but underneath them a low murmur that grew with every step—voices, many of them, the rustle and clink and barter of a crowd. A market. Down here, under the dead station, under Camden, under the rain. The stairs let out onto what had been a platform, and Quinn stopped dead at the bottom, her hand tightening on the baton. Stalls lined the curving tunnel where trains had once run, lantern-lit and crowded, the old advertising tiles glowing faintly behind hung cloth and strung bone. The air was thick with smoke that didn't smell like any smoke she knew, sweet and metallic at once. A figure too tall and too thin sold things that moved in jars. Someone laughed, and the laugh had an echo a beat too late. Eyes turned toward her—too many eyes, and not all of them in pairs—and she felt, with the certainty of a detective who had spent her whole life reading rooms, that every single one of them had clocked her for exactly what she was. An outsider. A human. Police. And there, fifty feet down the platform, pausing at a stall draped in black, Tomás Herrera turned and looked back at her again. This time he didn't run. He simply watched her, rain still dripping from his curls, one hand rising to touch something at his throat—a small medallion, catching the lantern light. His expression wasn't fear. It was something closer to pity. Quinn straightened her spine, set her jaw, and stepped off the stairs into the Market. A hand closed around her arm. "You don't have a token," a voice said, very quietly, very near her ear. "And without one, *cariño*, you don't leave." She turned. It was a different man—older, gaunt—but past his shoulder Herrera had already melted back into the crowd, and the green-amber light breathed once more over the bones strung above them all.
created_at"2026-05-31T11:46:47.828Z" 5/31/2026, 11:46:47 AM
model"anthropic/claude-4.8-opus-20260528"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3463
moderation_latency(null)
generation_time43233
tokens_prompt914
tokens_completion1718
native_tokens_prompt1264
native_tokens_completion2229
native_tokens_completion_images(null)
native_tokens_reasoning51
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"end_turn"
service_tier"default"
usage0.062045
router(null)
provider_responses
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endpoint_id"b0d3beaa-5ff7-4666-a749-b1bb2b14c916"
id"msg_019qfFrn1vRCgEkfT1CbhJYa"
is_byokfalse
latency1324
model_permaslug"anthropic/claude-4.8-opus-20260528"
provider_name"Anthropic"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.16.0; linux; x64))"
http_referer(null)
request_id"req-1780228007-VdocF3y0ARsjGn9LIGol"
session_id(null)
preset_id(null)
api_type"completions"
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upstream_id"msg_019qfFrn1vRCgEkfT1CbhJYa"
total_cost0.062045
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upstream_inference_cost0
provider_name"Anthropic"
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Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags2
adverbTagCount0
adverbTags(empty)
dialogueSentences5
tagDensity0.4
leniency0.8
rawRatio0
effectiveRatio0
78.28% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1151
totalAiIsmAdverbs5
found
0
adverb"slowly"
count1
1
adverb"suddenly"
count1
2
adverb"completely"
count1
3
adverb"very"
count2
highlights
0"slowly"
1"suddenly"
2"completely"
3"very"
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)
78.28% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1151
totalAiIsms5
found
0
word"measured"
count1
1
word"stomach"
count1
2
word"resolved"
count1
3
word"footsteps"
count1
4
word"echo"
count1
highlights
0"measured"
1"stomach"
2"resolved"
3"footsteps"
4"echo"
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
narrationSentences86
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences86
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences88
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen54
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans3
markdownWords4
totalWords1137
ratio0.004
matches
0"circumstances unclear"
1"unclear"
2"cariño"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions32
wordCount1110
uniqueNames13
maxNameDensity0.63
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"You"
discoveredNames
Soho1
Detective1
Harlow1
Quinn7
Herrera6
Raven1
Nest1
Morris3
Tube1
Camden3
Tomás2
Market1
You4
persons
0"Harlow"
1"Quinn"
2"Herrera"
3"Raven"
4"Morris"
5"Camden"
6"Tomás"
7"You"
places
0"Soho"
1"Tube"
2"Market"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences58
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1137
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences88
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs24
mean47.38
std32.79
cv0.692
sampleLengths
077
176
213
36
494
517
686
754
877
918
1043
1151
1290
137
1485
153
1662
1723
18117
1923
2040
2115
2227
2333
97.10% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences86
matches
0"was gone"
1"been promoted"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs180
matches
0"wasn't waiting"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount13
semicolonCount0
flaggedSentences10
totalSentences88
ratio0.114
matches
0"She'd watched him slip out the back of the Raven's Nest twenty minutes ago, the green neon throwing his shadow long across the wet brick, and she'd followed on instinct alone—no warrant, no backup, just the old itch under her sternum that had been there since the night Morris stopped answering his radio."
1"They came out onto a wider street—closed shopfronts, a kebab place still throwing greasy yellow light onto the kerb, a man under an umbrella who pressed himself flat against a doorway as the two of them blew past."
2"That changed things—a man running blind ran in loops and dead-ends, but a man running toward something ran straight, and straight was where you caught them or lost them for good."
3"Not a working one—she could see that even at speed."
4"And Morris had never come out, and the report had said *circumstances unclear*, and no one—not the brass, not the coroner, not the priest at the funeral—had ever been able to tell her what *unclear* meant."
5"There were stairs going down—old tiled steps, cream and oxblood, slick with damp."
6"The drip of water, yes, and her own footsteps, but underneath them a low murmur that grew with every step—voices, many of them, the rustle and clink and barter of a crowd."
7"Eyes turned toward her—too many eyes, and not all of them in pairs—and she felt, with the certainty of a detective who had spent her whole life reading rooms, that every single one of them had clocked her for exactly what she was."
8"He simply watched her, rain still dripping from his curls, one hand rising to touch something at his throat—a small medallion, catching the lantern light."
9"It was a different man—older, gaunt—but past his shoulder Herrera had already melted back into the crowd, and the green-amber light breathed once more over the bones strung above them all."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1129
adjectiveStacks0
stackExamples(empty)
adverbCount44
adverbRatio0.03897254207263064
lyAdverbCount9
lyAdverbRatio0.007971656333038087
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences88
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences88
mean12.92
std10.64
cv0.824
sampleLengths
022
127
228
34
42
517
653
712
81
93
103
1110
1217
1329
144
1510
1624
178
189
1938
203
217
2225
2313
247
259
263
274
2831
296
303
3110
3220
332
3415
3521
3618
3715
3818
394
404
412
427
4314
4420
453
461
476
4811
4913
59.09% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.4090909090909091
totalSentences88
uniqueOpeners36
44.44% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences75
matches
0"Then he glanced back."
ratio0.013
54.67% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount31
totalSentences75
matches
0"She ran with her elbows"
1"She knew his name."
2"She'd watched him slip out"
3"Her voice tore out of"
4"He didn't stop."
5"They never did."
6"Her foot skidded on something"
7"He looked, and the looking"
8"She hit the fence and"
9"They came out onto a"
10"They'd come further north than"
11"Her leather watch strap had"
12"He didn't slow."
13"He had a destination."
14"He angled toward a Tube"
15"You didn't follow a suspect"
16"You set a perimeter."
17"You called it in."
18"She reached for her radio,"
19"She tried again."
ratio0.413
40.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount63
totalSentences75
matches
0"Rain came down in sheets,"
1"She ran with her elbows"
2"She knew his name."
3"She'd watched him slip out"
4"Her voice tore out of"
5"He didn't stop."
6"They never did."
7"The alley narrowed and stank"
8"Her foot skidded on something"
9"That was the mistake amateurs"
10"He looked, and the looking"
11"She hit the fence and"
12"They came out onto a"
13"Camden, she registered."
14"They'd come further north than"
15"The rain had picked up,"
16"Her leather watch strap had"
17"Herrera cut across the road"
18"A taxi blared its horn"
19"He didn't slow."
ratio0.84
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences75
matches(empty)
ratio0
12.99% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences44
technicalSentenceCount8
matches
0"Rain came down in sheets, turning the Soho pavement into a black mirror that broke and reformed under Detective Harlow Quinn's boots."
1"Former paramedic, struck off the NHS register, last seen on no camera that mattered for three weeks."
2"She'd watched him slip out the back of the Raven's Nest twenty minutes ago, the green neon throwing his shadow long across the wet brick, and she'd followed on …"
3"They came out onto a wider street—closed shopfronts, a kebab place still throwing greasy yellow light onto the kerb, a man under an umbrella who pressed himself…"
4"A thin, dead crackle, as though the device had given up the moment she crossed the threshold of the hoarding."
5"A faint light bled up from below, the wrong colour for any working light, a greenish-amber that breathed."
6"The drip of water, yes, and her own footsteps, but underneath them a low murmur that grew with every step—voices, many of them, the rustle and clink and barter …"
7"Eyes turned toward her—too many eyes, and not all of them in pairs—and she felt, with the certainty of a detective who had spent her whole life reading rooms, t…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences5
tagDensity0.2
leniency0.4
rawRatio0
effectiveRatio0
82.1617%