Run: 2026-04-24-01KPZTY8GA1KE3FJ3WQ41ZKW3Q

Run Details

Duration:
28.9s
Cost:
$0.056620
Provider:
Amazon Bedrock

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 across Camden, the kind that drummed on tin and turned gutters into rivers, and Harlow Quinn ran with it flattening her cropped hair against her scalp, the collar of her jacket plastered to her neck. The man ahead of her — five-ten, olive skin, a Saint Christopher bouncing against his collarbone with every stride — had clocked her outside the Raven's Nest twenty minutes ago and not slowed since. Tomás Herrera. She'd memorized the name off a hospital disciplinary docket three months back, but she'd never had him in sight until tonight, leaving Silas's bar with a satchel he'd been clutching like a newborn. When their eyes had met through the rain, he'd gone. Not a fumble of panic, not the idiot sprint of a guilty man. He'd simply turned and moved, and she'd understood he was good at this. She was better. Her boots slapped across the zebra crossing at Camden High Street. A taxi laid on its horn; she waved her warrant card without looking, and the driver swallowed whatever he'd been about to shout. Tomás darted left into Buck Street, past shuttered market stalls sagging under wet tarpaulins. She pushed harder. The leather watch on her left wrist ticked against her pulse, a second metronome beneath the thudding of her heart. Eighteen years. Eighteen years of running people down in this city, and she'd learned the geometry of a chase the way sailors learn tides. He was slowing. He had to be. He'd been sprinting nearly a mile. Except he wasn't slowing. He crossed beneath a dripping railway bridge where the sodium light pooled yellow and shivering in puddles, and for a heartbeat she lost him behind a support pillar. When she cleared it, he was fifteen yards ahead and veering right, off the pavement entirely, toward the boarded face of the old disused Tube entrance she'd walked past a thousand times without a thought. Camden Road Underground. Closed since before she'd made detective. Plywood over the arch. A faded notice in council font. Tomás put his shoulder into the plywood and it swung inward like a door on hinges. "Herrera!" Her voice cracked out across the street and he glanced back — just once, just long enough for her to see the expression on his face. It wasn't fear of her. It was something else. A calculation. A warning, maybe. Then he slipped inside and the plywood swung shut with a soft, deliberate click, as though it had been hung that way by someone who cared. She reached it eight seconds later and stopped. The rain hammered her shoulders. Water sluiced down the back of her neck. She stood with one hand flat against the wet plywood and her other resting on the butt of her baton, and she made herself breathe. Eighteen years, she thought again. She knew the unwritten rules of a pursuit. You didn't follow a running man into a place you didn't know without calling it in. You didn't go down into the dark alone. Especially not when the man you were chasing had, according to a discreet whisper from a contact at the General Medical Council, been struck off for treating patients no hospital would admit. Especially not when your partner had gone into the dark three years ago and come back a closed coffin and a folder of unanswered questions. Morris's name surfaced in her chest the way it always did, unbidden, with the taste of pennies. She could still see the look on the Superintendent's face at the inquest. *Unexplained.* The word had sat in her mouth like a stone for three years now, and she had spent those years grinding her teeth against it. She had followed every lead that took her anywhere near the edges of whatever strangeness Morris had stumbled into. Every lead led to the same small circle of people. Silas. The woman with the white eyes who drank at his bar. And, lately, a man with a Saint Christopher medallion and a bag full of God-knew-what. She pressed the plywood. It gave. "Control," she said into her radio, voice low and flat. "DI Quinn. I'm at the old Camden Road Underground entrance, Buck Street side. In pursuit of a suspect, male, late twenties, on foot, entered the premises. Requesting backup, no blues, no sirens. Tell them to come quiet." Static. Then: "Received, Quinn. ETA eight minutes." Eight minutes was a long time in the dark. She took her torch from her belt. Clicked it on. Pushed the plywood aside and stepped through. The rain fell away behind her as though a door had closed on it. The silence struck first — thick, wadded, the kind of silence that belonged underground. Then the smell: damp brick, rust, and beneath those something she didn't have a name for. Sweet. Floral. Wrong. Like a flower shop left locked for a week. A staircase spiraled down, tiled in Edwardian cream and green, most of the tiles cracked or gone. Her torch beam splashed across the wall and caught a symbol scratched into the plaster at eye level: a half-moon inside a circle, fresh, the plaster dust still white at its edges. Beneath it, a smaller mark — a single rough line like a tally. She had seen that symbol before. In a photograph clipped to the inside of Morris's casebook. Her breath went out of her in one hard, silent rush. Somewhere below, very faint, she heard voices. Not one voice. Many. A hum of speech like the murmur of a crowded room. Impossible. The station had been sealed for decades. Backup, eight minutes. The symbol on the wall, three years old in her head and fresh on this plaster. Tomás Herrera's footsteps already fading into whatever was down there. Harlow Quinn set her jaw, the sharp line of it hardening in the dim bounce of the torchlight, and she thought of DS Morris, and she thought of the word *unexplained*, and she thought, very clearly: *Not this time.* She thumbed the radio off. No one was calling her back from this. Then she started down the stairs, one careful, deliberate step at a time, into the breathing dark.
created_at"2026-04-24T13:30:19.031Z" 4/24/2026, 1:30:19 PM
model"anthropic/claude-4.7-opus-20260416"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency861
moderation_latency(null)
generation_time28785
tokens_prompt914
tokens_completion1519
native_tokens_prompt1269
native_tokens_completion2011
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)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"end_turn"
usage0.05662
router(null)
provider_responses
0
endpoint_id"0fa65117-00d9-4835-808d-9b68041d9ce4"
id"4a6daf84-f3bb-4752-af39-2d47b81173bc"
is_byokfalse
latency859
model_permaslug"anthropic/claude-4.7-opus-20260416"
provider_name"Amazon Bedrock"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777037419-hdFzqSrXLat3Sdh4iTPZ"
session_id(null)
api_type"completions"
id"gen-1777037419-8pMIPrmw1eKMxAnpD3IP"
upstream_id"4a6daf84-f3bb-4752-af39-2d47b81173bc"
total_cost0.05662
cache_discount(null)
upstream_inference_cost0
provider_name"Amazon Bedrock"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags2
adverbTagCount0
adverbTags(empty)
dialogueSentences4
tagDensity0.5
leniency1
rawRatio0
effectiveRatio0
90.30% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1031
totalAiIsmAdverbs2
found
0
adverb"very"
count2
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)
75.75% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1031
totalAiIsms5
found
0
word"pulse"
count1
1
word"whisper"
count1
2
word"silence"
count2
3
word"footsteps"
count1
highlights
0"pulse"
1"whisper"
2"silence"
3"footsteps"
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
narrationSentences85
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences85
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences86
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen40
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans3
markdownWords5
totalWords1036
ratio0.005
matches
0"Unexplained."
1"unexplained"
2"Not this time."
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
totalMentions43
wordCount992
uniqueNames26
maxNameDensity0.4
worstName"Morris"
maxWindowNameDensity1
worstWindowName"Camden"
discoveredNames
Camden3
Harlow2
Quinn2
Saint2
Christopher2
Raven1
Nest1
Herrera2
Silas2
High1
Street2
Buck1
Tube1
Road1
Underground1
General1
Medical1
Council1
Superintendent1
Morris4
God-knew-what1
Static1
Eight1
Edwardian1
Tomás4
Eighteen3
persons
0"Harlow"
1"Quinn"
2"Saint"
3"Christopher"
4"Herrera"
5"Silas"
6"Buck"
7"Superintendent"
8"Morris"
9"Tomás"
places
0"Camden"
1"Raven"
2"High"
3"Street"
4"Road"
5"Underground"
6"General"
7"Edwardian"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences56
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1036
matches(empty)
89.15% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount2
totalSentences86
matches
0"hung that way"
1"seen that symbol"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs27
mean38.37
std31.68
cv0.826
sampleLengths
074
171
23
3108
44
582
616
767
88
938
1069
1125
12112
136
1447
157
169
1717
1856
1962
2016
2111
2230
2329
2439
2513
2617
92.88% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences85
matches
0"been hung"
1"been struck"
2"been sealed"
5.35% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs137
matches
0"was slowing"
1"wasn't slowing"
2"were chasing"
3"was calling"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount1
flaggedSentences5
totalSentences86
ratio0.058
matches
0"The man ahead of her — five-ten, olive skin, a Saint Christopher bouncing against his collarbone with every stride — had clocked her outside the Raven's Nest twenty minutes ago and not slowed since."
1"A taxi laid on its horn; she waved her warrant card without looking, and the driver swallowed whatever he'd been about to shout."
2"\"Herrera!\" Her voice cracked out across the street and he glanced back — just once, just long enough for her to see the expression on his face."
3"The silence struck first — thick, wadded, the kind of silence that belonged underground."
4"Beneath it, a smaller mark — a single rough line like a tally."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount991
adjectiveStacks0
stackExamples(empty)
adverbCount32
adverbRatio0.03229061553985873
lyAdverbCount8
lyAdverbRatio0.008072653884964682
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences86
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences86
mean12.05
std10.18
cv0.845
sampleLengths
040
134
22
333
410
513
613
73
811
923
1014
113
1220
132
1422
153
164
176
184
1928
2035
213
226
234
246
2516
2627
275
284
292
303
3126
328
335
348
3525
365
378
3816
398
4032
4125
4217
4313
4426
4519
4610
471
4811
4915
74.03% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.5
totalSentences86
uniqueOpeners43
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount6
totalSentences73
matches
0"Then he slipped inside and"
1"Especially not when the man"
2"Especially not when your partner"
3"Then the smell: damp brick,"
4"Somewhere below, very faint, she"
5"Then she started down the"
ratio0.082
77.53% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount26
totalSentences73
matches
0"She'd memorized the name off"
1"He'd simply turned and moved,"
2"She was better."
3"Her boots slapped across the"
4"She pushed harder."
5"He was slowing."
6"He had to be."
7"He'd been sprinting nearly a"
8"He crossed beneath a dripping"
9"Her voice cracked out across"
10"It wasn't fear of her."
11"It was something else."
12"She reached it eight seconds"
13"She stood with one hand"
14"She knew the unwritten rules"
15"You didn't follow a running"
16"You didn't go down into"
17"She could still see the"
18"She had followed every lead"
19"She pressed the plywood."
ratio0.356
100.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount50
totalSentences73
matches
0"Rain came down in sheets"
1"The man ahead of her"
2"She'd memorized the name off"
3"He'd simply turned and moved,"
4"She was better."
5"Her boots slapped across the"
6"A taxi laid on its"
7"Tomás darted left into Buck"
8"She pushed harder."
9"The leather watch on her"
10"He was slowing."
11"He had to be."
12"He'd been sprinting nearly a"
13"He crossed beneath a dripping"
14"Camden Road Underground."
15"Plywood over the arch."
16"A faded notice in council"
17"Tomás put his shoulder into"
18"Her voice cracked out across"
19"It wasn't fear of her."
ratio0.685
68.49% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences73
matches
0"And, lately, a man with"
ratio0.014
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences39
technicalSentenceCount1
matches
0"Rain came down in sheets across Camden, the kind that drummed on tin and turned gutters into rivers, and Harlow Quinn ran with it flattening her cropped hair ag…"
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount1
matches
0"she said, voice low and flat"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences4
tagDensity0.25
leniency0.5
rawRatio0
effectiveRatio0
85.7830%