Run: 2026-10-08-01M4DAMZPSA36TPDVVAP9KK6ZF

Run Details

Duration:
15.1s
Cost:
$0.001210
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 settled into the kind of steady, indifferent drizzle that made London look like an old photograph of itself. Harlow Quinn kept her distance across Camden High Street, one hand in the pocket of her long grey coat, the other resting near the worn leather strap of her watch. The hands read twenty past eleven. Tomás Herrera had not looked back once in the last ten minutes, which told her he didn't think he was being followed, or that he had stopped caring. She had been watching him since Soho. The green neon above the Raven's Nest had buzzed behind her as he stepped out, collar up, a hand pressed flat against his chest as if to steady something beneath his shirt. She had seen the glint of metal at his throat under the streetlight. A Saint Christopher, the kind sold in tourist shops along the Thames. The kind of thing a man kept when he had nothing else he trusted. He cut left past the closed shutters of a record shop and onto a side street that ran downhill toward the canal. Quinn quickened her pace. Her shoes found the slick cobbles and she adjusted without thinking, the way she had adjusted on a thousand wet nights over eighteen years. Military habit. Her father had called it precision. Her last commanding officer had called it a fault, because it made her predictable. The street narrowed. Iron railings, a dead streetlamp, the smell of wet brick and river mud. Tomás slowed at a boarded-up entrance set into the hillside, a squat stone arch above a stairway that dropped into darkness. The sign had been painted over years ago, but the letters still ghosted through: UNDERGROUND. Someone had chained the grille. Someone had also cut the chain. Quinn stopped at the corner and pressed her back to the wall. Her pulse was steady. It always was, until it wasn't. Tomás reached into his coat and drew out something pale that caught the light. A small carved disc, yellowed, the size of a coin. He held it up to the gap in the boards, almost reverently, and the air beyond the arch shivered. There was no other word for it. The darkness stirred like water disturbed by a stone, and a faint sound drifted up the steps: music, distant and wrong, a reedy tune played in a key she didn't recognise, underneath the rattle of voices. Three years ago, she had stood in a corridor very much like this one with DS Morris's blood drying on her glove and a witness who wouldn't stop repeating that the dead man had walked straight into the wall. The report had said gas leak. The report had said a lot of things. Quinn had written most of them herself, and she had never believed a single word. She took a breath and started forward. Tomás was already descending. She reached the top of the steps just as he turned at the bottom, and for a second their eyes met across the distance. He didn't look surprised. He looked tired, and he looked resigned, and then he looked past her shoulder with a flicker of fear that she didn't like at all. "Detective," he called up, his voice carrying strangely in the stone. "You should go home." "You're under arrest for the Halloway assault," she said. "Step away from the door and put your hands where I can see them." He laughed, short and humourless. "There's no door, Detective. Not for you." The arch was closing. She could see it happen, the darkness drawing in like a curtain, the cold air rising to meet her face with a smell of old iron and something sweeter underneath, like lilies left too long in a vase. Her hand went to her hip out of habit, to a holster that held nothing that would matter down there. Behind her, a bin lid clattered in the alley. She did not turn. Someone was watching from the rooftops; she could feel it on the back of her neck, the same prickle she had felt the night Morris died. Options presented themselves with brutal clarity. She could radio it in. She could wait at the top of the steps for backup that would take forty minutes to arrive and would find nothing but a chained grille and a dead end. She could walk away, go home, and wake tomorrow with another file marked closed. Or she could go down into the place that had taken her partner and find out what it had done with him. Quinn checked the watch on her left wrist. Twenty-three minutes past eleven. The music below rose and fell, and somewhere a crowd murmured in a language that might have been English if she had listened harder. She stepped onto the first stair. Then the second. The arch sealed above her with a sound like a held breath released, and the rain fell away behind her as if it had never existed at all.
created_at"2026-10-08T08:39:03.65Z" 10/8/2026, 8:39:03 AM
model"anthropic/claude-haiku-5.5-20261007"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency15033
moderation_latency(null)
generation_time15033
tokens_prompt888
tokens_completion1158
native_tokens_prompt1266
native_tokens_completion2166
native_tokens_completion_images(null)
native_tokens_reasoning697
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"
usage0.0012096
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791448743-S0P1QK0oaQZatbArGanN"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791448743-86I0RIPLnc1dqWCNE3t3"
upstream_id"msg_011CfpU8J5JHtZ1xPKKJoGKd"
provider_responses
0
endpoint_id"b6cdf493-3a61-441f-a134-e7944fddb980"
id"msg_011CfpU8J5JHtZ1xPKKJoGKd"
is_byokfalse
latency984
model_permaslug"anthropic/claude-haiku-5.5-20261007"
provider_name"Claude Platform on AWS"
status200
total_cost0.0012096
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)
dialogueSentences5
tagDensity0.4
leniency0.8
rawRatio0
effectiveRatio0
94.04% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount839
totalAiIsmAdverbs1
found
0
adverb"very"
count1
highlights
0"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)
64.24% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount839
totalAiIsms6
found
0
word"glint"
count1
1
word"quickened"
count1
2
word"predictable"
count1
3
word"pulse"
count1
4
word"flicker"
count1
5
word"could feel"
count1
highlights
0"glint"
1"quickened"
2"predictable"
3"pulse"
4"flicker"
5"could feel"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"flicker of emotion"
count1
highlights
0"a flicker of fear"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells1
narrationSentences58
matches
0"a flicker of fear"
93.60% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences58
filterMatches
0"look"
1"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences61
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen39
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords839
ratio0
matches(empty)
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
totalMentions23
wordCount806
uniqueNames15
maxNameDensity0.62
worstName"Quinn"
maxWindowNameDensity1
worstWindowName"Quinn"
discoveredNames
London1
Quinn5
Camden1
High1
Street1
Herrera1
Soho1
Raven1
Nest1
Saint1
Christopher1
Thames1
Morris2
English1
Tomás4
persons
0"Quinn"
1"Herrera"
2"Raven"
3"Nest"
4"Saint"
5"Christopher"
6"Morris"
7"Tomás"
places
0"London"
1"Camden"
2"High"
3"Street"
4"Soho"
5"Thames"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences44
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount839
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences61
matches
0"repeating that the"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs18
mean46.61
std25.38
cv0.544
sampleLengths
085
178
272
363
422
586
668
77
857
915
1023
1112
1262
1339
1455
1522
1636
1737
93.16% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences58
matches
0"being followed"
1"been painted"
93.33% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs125
matches
0"was already descending"
1"was watching"
96.02% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount1
flaggedSentences1
totalSentences61
ratio0.016
matches
0"Someone was watching from the rooftops; she could feel it on the back of her neck, the same prickle she had felt the night Morris died."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount808
adjectiveStacks0
stackExamples(empty)
adverbCount20
adverbRatio0.024752475247524754
lyAdverbCount2
lyAdverbRatio0.0024752475247524753
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences61
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences61
mean13.75
std9.91
cv0.721
sampleLengths
021
130
26
328
47
532
613
712
814
922
104
1124
122
136
1414
153
1613
1721
1815
195
206
2112
224
236
2414
2510
2619
277
2836
2939
306
318
3215
337
344
3524
364
3725
3811
394
409
4114
425
437
444
4538
4620
479
484
4926
48.63% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.36065573770491804
totalSentences61
uniqueOpeners22
59.52% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences56
matches
0"Then the second."
ratio0.018
62.86% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount22
totalSentences56
matches
0"She had been watching him"
1"She had seen the glint"
2"He cut left past the"
3"Her shoes found the slick"
4"Her father had called it"
5"Her last commanding officer had"
6"Her pulse was steady."
7"It always was, until it"
8"He held it up to"
9"She took a breath and"
10"She reached the top of"
11"He didn't look surprised."
12"He looked tired, and he"
13"he called up, his voice"
14"He laughed, short and humourless."
15"She could see it happen,"
16"Her hand went to her"
17"She did not turn."
18"She could radio it in."
19"She could wait at the"
ratio0.393
13.57% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount50
totalSentences56
matches
0"The rain had settled into"
1"Harlow Quinn kept her distance"
2"The hands read twenty past"
3"Tomás Herrera had not looked"
4"She had been watching him"
5"The green neon above the"
6"She had seen the glint"
7"A Saint Christopher, the kind"
8"The kind of thing a"
9"He cut left past the"
10"Quinn quickened her pace."
11"Her shoes found the slick"
12"Her father had called it"
13"Her last commanding officer had"
14"The street narrowed."
15"Iron railings, a dead streetlamp,"
16"Tomás slowed at a boarded-up"
17"The sign had been painted"
18"Someone had chained the grille."
19"Someone had also cut the"
ratio0.893
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences56
matches(empty)
ratio0
47.62% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences30
technicalSentenceCount4
matches
0"The rain had settled into the kind of steady, indifferent drizzle that made London look like an old photograph of itself."
1"The green neon above the Raven's Nest had buzzed behind her as he stepped out, collar up, a hand pressed flat against his chest as if to steady something beneat…"
2"Tomás slowed at a boarded-up entrance set into the hillside, a squat stone arch above a stairway that dropped into darkness."
3"Three years ago, she had stood in a corridor very much like this one with DS Morris's blood drying on her glove and a witness who wouldn't stop repeating that t…"
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount1
matches
0"he called up, his voice carrying strangely in the stone"
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount1
fancyTags
0"he called up (call up)"
dialogueSentences5
tagDensity0.4
leniency0.8
rawRatio0.5
effectiveRatio0.4
78.8867%