Run: 2026-07-25-01KYCPRYBAGXPKG65CVV86JKQJ

Run Details

Duration:
52.8s
Cost:
$0.072620
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
The rain had been falling since four in the afternoon, and by half past eleven Soho had given up trying to drain it. Water ran along the gutters in fast black ribbons, carrying cigarette filters and takeaway lids toward drains already choked. Detective Harlow Quinn stood in the doorway of a shuttered dry cleaner's on Brewer Street, coat collar up, and watched the green neon of The Raven's Nest bleed across the wet pavement in long smeared strokes. She'd been there two hours. Her feet had passed through cold into numb and out the other side into a dull, insistent ache. The watch on her left wrist said 23:34 and the leather strap had gone soft and dark with damp. Eighteen years and she still hadn't learned to bring the proper boots. The door of the Nest opened. Light spilled, then a figure — and she knew him before she'd registered a single feature, knew him by the way he came out of a room, checking left first, always left, a habit that belonged to men who'd spent time being hunted. Tomás Herrera. Twenty-nine. Struck off the register eighteen months ago. A file three inches thick with nothing chargeable in it. He had a canvas satchel across his body and he held it the way you hold something that matters. He turned left, walked twenty paces, and then — Quinn saw it happen, saw the exact instant — his shoulders changed. He'd clocked the reflection in the dry cleaner's glass, or her breath, or nothing at all, just the animal certainty of being watched. He ran. "Herrera!" She was out of the doorway before she'd finished the word, and the rain hit her face like a slap. "Tomás Herrera, stop — Metropolitan Police—" He didn't stop. Of course he didn't stop. Nobody ever stopped. He was fast, and he was younger, and he knew the streets like a man who'd worked them with a green bag over his shoulder for six years, knew which alleys had bins in them and which had a gap in the fence at the far end. He went right onto Wardour Street and Quinn went after him, boots slamming through standing water, coat heavy as a wet sail. A cyclist swerved and shouted. A group of students scattered, laughing, filming. She ran the way she'd been taught eighteen years ago and had never stopped doing: shoulders square, arms tight, eyes on the target's hips because hips don't lie about which way a man's going to turn. Her lungs began to burn at the corner of Oxford Street and she welcomed it. Pain was information. Pain meant she was still closing. He wasn't heading for a car. That was the thing that snagged in her mind even while her body did the work. Men who ran usually ran toward something — a vehicle, a flat, a mate's sofa. Herrera ran with purpose, but he ran north, into the tangle above Oxford Street, and she'd already put out the call and heard the response and knew that units were seven minutes out and seven minutes was a lifetime. He crossed against the lights on Tottenham Court Road. A night bus laid on the horn and its headlamps swung across him and for half a second Quinn saw the flash of the medallion at his throat, bright against olive skin, and thought: Saint Christopher. Patron saint of travellers. She filed it. Then the tube station, then past it, then the long grim run up toward Camden with the rain coming harder and the traffic thinning and her heart going like a fist on a door. He was slowing. So was she, but he was slowing faster. She got within twenty metres of him at the canal bridge and shouted again and heard her own voice come out ragged, and he glanced back — once — and she saw his face properly for the first time. He wasn't frightened of her. That was what stayed with her afterward. He was frightened, absolutely, a man's whole body wound tight with it, but when he looked back over his shoulder at a detective sergeant twenty metres behind him, his expression wasn't fear. It was something closer to apology. He turned off the road so suddenly she nearly overran the gap. It was a hoarding. Blue construction ply, tagged over three times, with a NO ENTRY sign gone illegible under weather. Herrera hit it with the flat of his hand at hip height and a section swung inward on hinges she'd never have found and he was gone. Quinn stopped. Water sluiced off her hair and down the back of her neck. Behind the ply was a stairwell. Old tile, cream and oxblood, the colours of the Underground before the Underground was the Underground. A ticket hall gone to ruin, the wooden booth half-collapsed, the floor an inch deep in filthy water. And beyond it, down, a set of stairs, and coming up those stairs — she felt it more than saw it — a light that was not the colour of any light she knew. Not the flat white of LEDs, not sodium orange. Something warm and low and faintly moving, like firelight seen through green glass. And sound. Voices, dozens of them, the particular layered murmur of a market. At quarter to midnight. Under Camden. In a station that had been sealed since before she was born. Quinn put her hand on the doorframe. Her fingers had gone white. Three years ago she had stood at the mouth of another dark place, a lock-up in Deptford, and she had said to DS Morris, wait for the van. And Morris — who had a wife and a bad knee and a laugh like a drain — had said don't be soft, and gone in. They'd found his warrant card. They'd found one shoe. They had never, in three years, found a single thing that made any sense, and when she'd written up what she'd heard through that door — the sound, the impossible bloody sound of it — a superintendent had looked at her with enormous kindness and suggested she take some leave. She'd taken the leave. She'd come back. She had not stopped standing at the mouths of dark places. Her radio crackled against her collarbone. She keyed it without looking. "Control, DS Quinn. Suspect has entered a disused station structure off—" she twisted, found a street sign, gave it. "Access via hoarding, west side. Requesting units and requesting they do not, repeat do not, enter until I've confirmed—" Confirmed what? That there was an underground market beneath Camden populated by God knew what, selling God knew what, and that she was going to walk into it alone, at night, with no vest, no backup, and a torch with a dying battery? Control asked her to repeat. Down the stairs, the strange light shifted, and a shadow crossed it — too tall, or the angle was wrong, or her eyes were full of rain. Quinn thought about the file. Eighteen months of nothing chargeable. Four bodies in eleven months, all of them people she could place within one degree of that green neon sign, all of them signed off by coroners who wouldn't meet her eye. She thought about the way Herrera had looked back at her. Sorry. Like a man who knew what was down there and wished, genuinely, that she'd turn around. She thought: whatever happened to Morris, it went through a door like this one. "Control," she said, and her voice came out steady, which surprised her. "Disregard last. I'm going in." She took the torch out of her pocket, thumbed it on, and the beam looked feeble and stupid against that other light. She left it on anyway. She stepped over the threshold and the water came up over her ankle, shockingly cold, and the rain-noise cut off behind her as though someone had closed a lid. At the head of the stairs there was a turnstile, rusted solid, and beside it a niche in the tilework where a hand had worn the glaze smooth over years. Something small and pale sat in the niche. Quinn crouched, put the torch on it, and looked at a token of yellowed bone the size of a coin, carved with a mark she'd seen once before — inked on the inside of a dead girl's wrist, in a mortuary in Whitechapel, last November. Behind her, twenty feet up and a world away, a siren began to wail down Camden Road. Quinn picked up the token. It was warm. She started down the stairs.
created_at"2026-07-25T13:17:30.863Z" 7/25/2026, 1:17:30 PM
model"anthropic/claude-opus-5-20260723"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2161
moderation_latency(null)
generation_time52656
tokens_prompt888
tokens_completion2006
native_tokens_prompt1264
native_tokens_completion2652
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"
service_tier"default"
usage0.07262
router(null)
provider_responses
0
endpoint_id"76cb4608-f48c-483d-8da8-9957fb44244e"
id"msg_011CdNqhBSX9ouw3KxbpDwDr"
is_byokfalse
latency2161
model_permaslug"anthropic/claude-opus-5-20260723"
provider_name"Amazon Bedrock"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1784985450-Hiblg8n9Uh1eix2lsr0f"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784985450-LduPsQiDkH4HiFGezAVQ"
upstream_id"msg_011CdNqhBSX9ouw3KxbpDwDr"
total_cost0.07262
cache_discount(null)
upstream_inference_cost0
provider_name"Amazon Bedrock"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags3
adverbTagCount0
adverbTags(empty)
dialogueSentences6
tagDensity0.5
leniency1
rawRatio0
effectiveRatio0
96.50% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1429
totalAiIsmAdverbs1
found
0
adverb"suddenly"
count1
highlights
0"suddenly"
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)
93.00% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1429
totalAiIsms2
found
0
word"absolutely"
count1
1
word"structure"
count1
highlights
0"absolutely"
1"structure"
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
narrationSentences97
matches(empty)
98.67% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount3
narrationSentences97
filterMatches(empty)
hedgeMatches
0"began to"
1"happened to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences100
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen48
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1444
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
totalMentions48
wordCount1401
uniqueNames23
maxNameDensity0.64
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Street"
discoveredNames
Soho1
Harlow1
Quinn9
Brewer1
Street4
Raven1
Nest2
Herrera4
Wardour1
Oxford2
Tottenham1
Court1
Road2
Saint1
Christopher1
Camden4
Underground3
Deptford1
Morris3
Confirmed1
God2
Whitechapel1
November1
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Nest"
4"Herrera"
5"Saint"
6"Christopher"
7"Morris"
8"God"
places
0"Soho"
1"Brewer"
2"Street"
3"Wardour"
4"Oxford"
5"Tottenham"
6"Court"
7"Road"
8"Camden"
9"Deptford"
10"Whitechapel"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences64
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1444
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences100
matches
0"knew that units"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs38
mean38
std25.98
cv0.684
sampleLengths
078
154
249
320
463
52
627
711
881
960
1076
1152
1234
1350
145
1545
1612
1747
1814
1996
2031
2112
2254
2359
2418
2511
2638
2743
285
2927
3070
3114
3217
3356
3483
3517
368
375
87.18% Passive voice overuse
Target: ≤2% passive sentences
passiveCount5
totalSentences97
matches
0"being hunted"
1"been taught"
2"was frightened"
3"was gone"
4"been sealed"
82.53% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs227
matches
0"was still closing"
1"wasn't heading"
2"was slowing"
3"was slowing"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount14
semicolonCount0
flaggedSentences9
totalSentences100
ratio0.09
matches
0"Light spilled, then a figure — and she knew him before she'd registered a single feature, knew him by the way he came out of a room, checking left first, always left, a habit that belonged to men who'd spent time being hunted."
1"He turned left, walked twenty paces, and then — Quinn saw it happen, saw the exact instant — his shoulders changed."
2"Men who ran usually ran toward something — a vehicle, a flat, a mate's sofa."
3"She got within twenty metres of him at the canal bridge and shouted again and heard her own voice come out ragged, and he glanced back — once — and she saw his face properly for the first time."
4"And beyond it, down, a set of stairs, and coming up those stairs — she felt it more than saw it — a light that was not the colour of any light she knew."
5"And Morris — who had a wife and a bad knee and a laugh like a drain — had said don't be soft, and gone in."
6"They had never, in three years, found a single thing that made any sense, and when she'd written up what she'd heard through that door — the sound, the impossible bloody sound of it — a superintendent had looked at her with enormous kindness and suggested she take some leave."
7"Down the stairs, the strange light shifted, and a shadow crossed it — too tall, or the angle was wrong, or her eyes were full of rain."
8"Quinn crouched, put the torch on it, and looked at a token of yellowed bone the size of a coin, carved with a mark she'd seen once before — inked on the inside of a dead girl's wrist, in a mortuary in Whitechapel, last November."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1391
adjectiveStacks0
stackExamples(empty)
adverbCount38
adverbRatio0.027318475916606758
lyAdverbCount10
lyAdverbRatio0.007189072609633357
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences100
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences100
mean14.44
std12.37
cv0.856
sampleLengths
023
119
236
35
418
519
612
76
843
92
101
117
1210
1319
1421
1523
162
1721
186
193
205
213
2247
2322
245
257
2636
2715
283
296
306
3116
3215
3339
349
3536
364
373
3834
393
408
4139
425
437
4432
456
4612
474
4816
4927
59.67% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats12
diversityRatio0.43
totalSentences100
uniqueOpeners43
74.91% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences89
matches
0"Of course he didn't stop."
1"Then the tube station, then"
ratio0.022
44.72% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount39
totalSentences89
matches
0"She'd been there two hours."
1"Her feet had passed through"
2"He had a canvas satchel"
3"He turned left, walked twenty"
4"He'd clocked the reflection in"
5"She was out of the"
6"He didn't stop."
7"He was fast, and he"
8"He went right onto Wardour"
9"She ran the way she'd"
10"Her lungs began to burn"
11"He wasn't heading for a"
12"He crossed against the lights"
13"She filed it."
14"He was slowing."
15"She got within twenty metres"
16"He wasn't frightened of her."
17"He was frightened, absolutely, a"
18"It was something closer to"
19"He turned off the road"
ratio0.438
77.98% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount68
totalSentences89
matches
0"The rain had been falling"
1"Water ran along the gutters"
2"Detective Harlow Quinn stood in"
3"She'd been there two hours."
4"Her feet had passed through"
5"The watch on her left"
6"The door of the Nest"
7"Light spilled, then a figure"
8"A file three inches thick"
9"He had a canvas satchel"
10"He turned left, walked twenty"
11"He'd clocked the reflection in"
12"She was out of the"
13"He didn't stop."
14"Nobody ever stopped."
15"He was fast, and he"
16"He went right onto Wardour"
17"A cyclist swerved and shouted."
18"A group of students scattered,"
19"She ran the way she'd"
ratio0.764
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences89
matches(empty)
ratio0
36.47% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences47
technicalSentenceCount7
matches
0"Light spilled, then a figure — and she knew him before she'd registered a single feature, knew him by the way he came out of a room, checking left first, always…"
1"He had a canvas satchel across his body and he held it the way you hold something that matters."
2"He was fast, and he was younger, and he knew the streets like a man who'd worked them with a green bag over his shoulder for six years, knew which alleys had bi…"
3"Men who ran usually ran toward something — a vehicle, a flat, a mate's sofa."
4"Then the tube station, then past it, then the long grim run up toward Camden with the rain coming harder and the traffic thinning and her heart going like a fis…"
5"They had never, in three years, found a single thing that made any sense, and when she'd written up what she'd heard through that door — the sound, the impossib…"
6"She stepped over the threshold and the water came up over her ankle, shockingly cold, and the rain-noise cut off behind her as though someone had closed a lid."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags3
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences6
tagDensity0.167
leniency0.333
rawRatio0
effectiveRatio0
85.0541%