Run: 2026-09-23-01M37NY9YQWGRR7PA60DK112DR

Run Details

Duration:
1m 3s
Cost:
$0.076984
Provider:
Claude Platform on AWS

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 had found its way inside her collar three streets ago, and Harlow Quinn had stopped noticing. She kept her eyes on the figure forty yards ahead. Dark jacket, hood up, a stride that ate pavement without looking hurried. Tomás Herrera moved like someone who had spent years running toward emergencies and had never lost the habit of economy. He hadn't looked back once since Camden High Street. That was what bothered her. A man who didn't know he was being followed looked back out of idle habit. A man who did know kept his eyes forward and trusted his ears. She'd picked him up outside the Raven's Nest at a quarter past eleven, under the green neon that turned the rain above the doorway into falling glass. She had watched that door for six nights running from a borrowed Vauxhall with a flask of coffee gone cold on the passenger seat. Six nights of drunks and tourists and the occasional man in a good coat who went in and did not come out again by any door she could see. Tonight Herrera had come out alone, glanced once at the sky, and set off north on foot like a man with an appointment. She'd left the car. Tailing by car in Soho was a fool's game anyway. Now he cut left past the shuttered market stalls. The canvas awnings sagged under the weight of water, and the smell of fried onions from the afternoon trade still clung to the wet air. Quinn checked her watch out of reflex, the old leather strap dark with rain on her left wrist. 12:04. Her breath came even. Eighteen years on the Met and she could still hold a pace like this for an hour, and she was quietly, privately proud of it. Herrera turned down a service lane between two warehouses, and she lost him. She took the corner wide, one hand at her hip where there was no weapon, only the radio she hadn't used and wouldn't. Nobody at the Yard knew she was out here. Nobody would have approved it. The lane ran fifty yards to a chain-link fence and a railway embankment, lit by a single sodium lamp that buzzed like a trapped wasp. Bins. A stack of pallets. A drainpipe gargling. No Herrera. Quinn stood still and let the rain drum on her shoulders. She had learned that from Morris. *When you lose them, stop. The street will tell you where they went if you shut up long enough to listen.* She had heard his voice in her head a thousand times in three years, and it still landed like a hand on the back of her neck. A scrape of metal on concrete. Low, to the right. Behind the pallets, set into the base of the warehouse wall, was a grille she would have walked past in daylight. Old ironwork, painted over so many times the pattern had blurred into lumps. It stood a hand's width ajar. Beyond it, a stairwell dropped into darkness, and printed on the tiles of the first landing, just visible under years of grime, was the ghost of a London Underground roundel. Red ring, blue bar. The name on the bar had been chiselled away. Quinn crouched. Wet footprints on the top step, heel-heavy, recently made. Fading fast in the damp. She knew the Tube map the way most Londoners knew it, which was to say she knew the dead stations were down there somewhere, sealed and forgotten, the subject of pub trivia and late-night documentaries. She did not know of one here. She pulled the grille open. It swung without a sound, and she liked that less than if it had shrieked. Somebody oiled these hinges. The stairs went down in a tight spiral. The rain noise faded behind her within twenty steps, replaced by a warm draught rising from below. The air smelled of old dust and hot metal, with something sweeter underneath. Cloves, maybe. Burnt sugar. She took out her pocket torch and didn't turn it on. There was light ahead, a low amber glow that crept up the curve of the wall, and a sound she took for the distant rush of a train until she was close enough to pick out voices in it. Hundreds of them. Laughter. Haggling. A rhythmic clinking like someone counting coins onto a plate. At the bottom, the stairwell opened onto a short passage, and at the end of the passage stood a man. He was very tall and very still, wearing a long coat buttoned to the throat, and his face was hard to look at. Not ugly. It was simply difficult to fix on, as though her eyes kept sliding off it toward something more comfortable. Behind him, the passage widened into an old platform, and the platform was full. Quinn pressed herself into the shadow of the last turn and looked. Stalls ran the length of the platform and spilled down onto the tracks. Lanterns hung from the old cable brackets, burning with flames that were not quite the colour of flame. There were tables of glass vials. Racks of dried things she did not want to name. A woman with a heron's stillness was weighing silver dust on a brass scale. A cluster of hooded figures crowded around a man who was apparently selling nothing but folded scraps of paper, and paying for them in something that glinted. The tiled walls were pasted over with handbills in scripts she didn't recognise. Something small and many-legged skittered along a rail and was caught and bagged by a child with far too many rings on her fingers. And there, halfway down the platform, pushing his hood back and shaking the rain out of short dark curls, was Tomás Herrera. He stopped at a stall and spoke to the vendor, an old man with a face like a walnut, and pushed back his left sleeve as if to show something. Even at this distance Quinn caught the pale line of the scar along his forearm. The old man nodded, and began to wrap something in cloth. Herrera touched the medallion at his throat, a quick unthinking gesture, the way her mother used to cross herself passing a church. Quinn watched a newcomer come down the stairs past her. A thin woman in a raincoat who didn't glance at the shadows where Quinn stood. At the bottom, she held out her palm to the doorman. On it lay something small and pale and carved. The doorman looked at it, looked through her, and stepped aside. A token. Bone, by the look of it. So that was the rule. No token, no entry. And Quinn had no idea what happened to people who tried without one. She should go back up. That was the sane choice, the procedural one. Log the location. Come back in daylight with a warrant and six uniforms and a torch that actually got switched on. Except she knew exactly how that would go. She would come back tomorrow and the grille would be rusted shut. The stairwell would end in a wall of breeze blocks. And someone at the Yard would look at her the way they had looked at her three years ago, when she'd stood in the incident room and tried to explain what she had seen in that flat in Bermondsey. What had been standing over Morris's body. How it had turned to look at her before the lights went out. *Stress,* they'd said. *Trauma. Take the leave, Harlow.* She had taken the leave. She had also taken one thing from Morris's effects before his wife could collect them. It had been in his jacket pocket the night he died, and it had never made any sense. She had carried it every day since, zipped into the inside pocket of whatever coat she wore, the way other people carried a photograph. Quinn put her hand inside her coat now and closed her fingers around it. It was the size of a large coin, slightly curved, yellowed with age. One face was carved with a spiral pattern so fine it looked grown rather than cut. For three years she had assumed it was a charm, a trinket, something Morris had picked up off an evidence table and forgotten about. She looked at the woman's token. She looked at the thing in her hand. Her pulse was going harder now than it had during the chase. Down on the platform, Herrera tucked his wrapped parcel under his arm and moved deeper into the crowd, toward the dark mouth of the tunnel where the stalls thinned out and the lantern light gave up. In thirty seconds she would lose him for good. Morris had known about this place. The certainty settled in her chest, cold and heavy. Morris had been here, or somewhere like it, and he had never said a word to her. Whatever had killed him had come from down here. She'd been circling it for three years in the dark without knowing its shape. Quinn checked her watch. 12:19. She straightened her collar, squared her shoulders, and stepped out of the shadow. The doorman's gaze found her at once. It had the weight of a hand pressed flat against her sternum. She walked toward him with her spine straight and her face set, the way she'd walked into a hundred rooms full of men who wanted her gone, and held out her palm. For a long moment he didn't move. The noise of the market seemed to recede, as if the whole platform were holding its breath. His eyes, whatever colour they were, lingered on the spiral carving, then lifted to her face with an expression she couldn't read and didn't like. "This one," he said, in a voice like gravel shifting underwater, "was not given to you." "No," Quinn said. "It was given to my partner." Another pause. Then, slowly, the doorman stepped aside. She closed her fist around the token and walked past him into the amber light. The smell of cloves and burnt sugar wrapped around her, and somewhere down the platform a dark curly head disappeared into the tunnel's mouth. She went after it.
created_at"2026-09-23T17:45:14.985Z" 9/23/2026, 5:45:14 PM
model"anthropic/claude-opus-5.5-20260921"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency10870
moderation_latency(null)
generation_time62605
tokens_prompt888
tokens_completion2587
native_tokens_prompt1266
native_tokens_completion3596
native_tokens_completion_images(null)
native_tokens_reasoning524
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"
usage0.076984
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790185515-019gK0EgCupvEQSEBRfM"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790185515-b5ZJaqQPUu2qMJVV2hGr"
upstream_id"msg_011CfLneJtEt9CLJmHMEdVqH"
provider_responses
0
endpoint_id"3a2388bc-3740-4e64-a1f5-4e301726b6b9"
id"msg_011CfLneJtEt9CLJmHMEdVqH"
is_byokfalse
latency7365
model_permaslug"anthropic/claude-opus-5.5-20260921"
provider_name"Claude Platform on AWS"
status200
total_cost0.076984
cache_discount(null)
upstream_inference_cost0
provider_name"Claude Platform on AWS"
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
totalTags2
adverbTagCount0
adverbTags(empty)
dialogueSentences3
tagDensity0.667
leniency1
rawRatio0
effectiveRatio0
88.33% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1714
totalAiIsmAdverbs4
found
0
adverb"very"
count2
1
adverb"slightly"
count1
2
adverb"slowly"
count1
highlights
0"very"
1"slightly"
2"slowly"
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)
82.50% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1714
totalAiIsms6
found
0
word"weight"
count2
1
word"rhythmic"
count1
2
word"comfortable"
count1
3
word"charm"
count1
4
word"pulse"
count1
highlights
0"weight"
1"rhythmic"
2"comfortable"
3"charm"
4"pulse"
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
narrationSentences136
matches(empty)
79.83% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount4
narrationSentences136
filterMatches
0"watch"
hedgeMatches
0"began to"
1"happened to"
2"tried to"
3"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences137
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen43
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans3
markdownWords27
totalWords1714
ratio0.016
matches
0"When you lose them, stop. The street will tell you where they went if you shut up long enough to listen."
1"Stress,"
2"Trauma. Take the leave, Harlow."
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
totalMentions44
wordCount1700
uniqueNames19
maxNameDensity0.71
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Harlow2
Quinn12
Herrera7
Camden1
High1
Street1
Raven1
Nest1
Vauxhall1
Soho1
Met1
Yard2
Morris6
London1
Underground1
Tube1
Londoners1
Tomás2
Bermondsey1
persons
0"Harlow"
1"Quinn"
2"Herrera"
3"Morris"
4"Tube"
5"Londoners"
6"Tomás"
places
0"Camden"
1"High"
2"Street"
3"Raven"
4"Vauxhall"
5"Soho"
6"London"
7"Bermondsey"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences100
glossingSentenceCount2
matches
0"not quite the colour of flame"
1"a man who was apparently selling nothing but"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1714
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount2
totalSentences137
matches
0"watched that door"
1"liked that less"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs39
mean43.95
std34.26
cv0.78
sampleLengths
018
184
2103
314
482
513
670
72
865
910
1083
1116
1242
1324
14107
1520
1658
1712
18125
1922
2078
2156
228
2322
24123
258
2662
2714
2853
2914
3057
3155
3218
3351
3449
3516
369
378
3843
89.78% Passive voice overuse
Target: ≤2% passive sentences
passiveCount6
totalSentences136
matches
0"being followed"
1"been chiselled"
2"was caught"
3"got switched"
4"was carved"
5"were, lingered"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs268
matches
0"was weighing"
1"was apparently selling"
2"was going"
3"were holding"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences137
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1704
adjectiveStacks0
stackExamples(empty)
adverbCount55
adverbRatio0.03227699530516432
lyAdverbCount12
lyAdverbRatio0.007042253521126761
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences137
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences137
mean12.51
std9.09
cv0.727
sampleLengths
018
110
212
320
49
55
615
713
827
924
1029
1123
124
1310
149
1525
1618
171
184
1925
2013
2123
229
235
2425
251
264
273
282
2911
306
315
3243
336
344
3521
3613
376
3830
394
409
412
429
435
4435
457
465
4715
484
498
69.63% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats11
diversityRatio0.4666666666666667
totalSentences135
uniqueOpeners63
27.32% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences122
matches
0"Then, slowly, the doorman stepped"
ratio0.008
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount35
totalSentences122
matches
0"She kept her eyes on"
1"He hadn't looked back once"
2"She'd picked him up outside"
3"She had watched that door"
4"She'd left the car."
5"Her breath came even."
6"She took the corner wide,"
7"She had learned that from"
8"It stood a hand's width"
9"She knew the Tube map"
10"She did not know of"
11"She pulled the grille open."
12"It swung without a sound,"
13"She took out her pocket"
14"He was very tall and"
15"It was simply difficult to"
16"He stopped at a stall"
17"She should go back up."
18"She would come back tomorrow"
19"She had taken the leave."
ratio0.287
100.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount83
totalSentences122
matches
0"The rain had found its"
1"She kept her eyes on"
2"Tomás Herrera moved like someone"
3"He hadn't looked back once"
4"That was what bothered her."
5"A man who didn't know"
6"A man who did know"
7"She'd picked him up outside"
8"She had watched that door"
9"Tonight Herrera had come out"
10"She'd left the car."
11"The canvas awnings sagged under"
12"Quinn checked her watch out"
13"Her breath came even."
14"Herrera turned down a service"
15"She took the corner wide,"
16"Nobody at the Yard knew"
17"Nobody would have approved it."
18"The lane ran fifty yards"
19"A stack of pallets."
ratio0.68
81.97% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences122
matches
0"Now he cut left past"
1"Even at this distance Quinn"
ratio0.016
85.71% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences75
technicalSentenceCount6
matches
0"She'd picked him up outside the Raven's Nest at a quarter past eleven, under the green neon that turned the rain above the doorway into falling glass."
1"The lane ran fifty yards to a chain-link fence and a railway embankment, lit by a single sodium lamp that buzzed like a trapped wasp."
2"She knew the Tube map the way most Londoners knew it, which was to say she knew the dead stations were down there somewhere, sealed and forgotten, the subject o…"
3"It was simply difficult to fix on, as though her eyes kept sliding off it toward something more comfortable."
4"A cluster of hooded figures crowded around a man who was apparently selling nothing but folded scraps of paper, and paying for them in something that glinted."
5"She walked toward him with her spine straight and her face set, the way she'd walked into a hundred rooms full of men who wanted her gone, and held out her palm…"
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
totalTags2
fancyCount0
fancyTags(empty)
dialogueSentences3
tagDensity0.667
leniency1
rawRatio0
effectiveRatio0
93.5026%