Run: 2026-04-24-01KQ0G3R8XR2SYW2434XT7E146

Run Details

Duration:
28.8s
Cost:
$0.058645
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 hammered the cobbles of Soho like a drum roll, and Quinn ran through it with her coat flapping and her breath coming in hard white bursts under the sodium lamps. Ahead of her, twenty yards and pulling, was the curly-haired man who had vaulted the back fence of the Raven's Nest the moment she'd flashed her warrant card. He ran the way medics ran — steady, efficient, not wasting motion. She knew that silhouette. Tomás Herrera, twenty-nine, struck off the paramedic register eighteen months ago for reasons the NHS wouldn't put on paper. He cut left into an alley off Brewer Street. Quinn followed. Puddles exploded under her boots. Eighteen years on the job and her knees still remembered every chase she'd ever taken; they were complaining now, a dull throb each time her heel hit stone. She ignored them. The leather of her watch strap was already soaked through and clinging to her wrist. Somewhere behind her, her radio burbled a call she hadn't answered and wouldn't. She'd told Dispatch she was off-shift. She'd lied. "Herrera!" she called. "Police! Stop running and we'll have a conversation like adults." He did not stop. He ducked under a dripping scaffold and then — she saw it a beat too late — flung himself sideways through a door she'd assumed was bricked up. It wasn't. It only wanted to look that way. Quinn skidded, her hand flying out to catch the damp brick, and forced herself through after him. The door opened onto a stairwell that smelled of mildew and something older, something mineral, a catacomb smell. Her torch came out of her coat pocket in one clean motion, the beam carving a pale wedge through the dark. Below her, footsteps rang down metal treads. She took the stairs two at a time. The rain noise faded overhead and was replaced by a low hum she couldn't place, something underneath hearing, felt in the teeth. The stairwell dumped her out onto a tiled platform. It took her a full second to understand what she was looking at. Old cream tiles, an Underground roundel stripped of its lettering, a curve of tunnel that hadn't seen a working train since before she was born. Camden, she thought. She knew the derelict Tube stops, had filed more than one body report under their names. This was the one beneath the high street, supposedly sealed since the sixties. It was not sealed tonight. Light spilled from the tunnel mouth. Not electric light — too warm, too uneven. Lantern light, dozens of them, and the shapes of stalls, and the swell of voices speaking languages she half-recognised and several she did not. The hum in her teeth sharpened into something almost musical. The smell came next: tallow smoke, wet copper, rosewater, and under that a green-rot sweetness that turned her stomach without giving her anything to name. Tomás was running towards the light. Quinn's boots hit the platform edge and she stopped. Every piece of training she'd ever had was shouting at her. Call backup. Contain the exit. Do not enter an unsecured structure alone, at night, off-book, with no radio coverage and no visual on the suspect beyond a hostile threshold. Protocol was a handrail; she'd leaned on it her whole career. Three years ago, DS Morris had let go of the handrail and had not come home. She still didn't know what had taken him. Only that the paperwork had called it "circumstances undetermined" and that nobody above her pay grade had wanted her asking. She watched Tomás reach the tunnel entrance. A figure there — tall, hooded, the face not quite a face — stopped him. He produced something from his pocket. It glinted yellow-white under the lamps. Bone, she thought, with the dispassionate clarity that came to her when she was frightened. That's a piece of bone. The hooded figure inclined its head, and Tomás slipped past and was gone into the crowd. Quinn's left hand went automatically to her hip, checking that the Glock was still there under her coat. Dry, warm against her ribs. Her right hand held the torch. She had, by any reasonable measure, no business going any further. But she had questions. She had a back room at the Raven's Nest with three sets of footprints in dust that shouldn't have footprints in it, and a dead girl in Whitechapel with a wound no pathologist could classify, and she had Tomás Herrera, ex-NHS, running from her with the panicked certainty of a man who had something to lose. She had Morris's name on a file she couldn't close. She had, standing on this platform, a door that had only opened because he'd made it open. If she turned around, it might not open for her again. Quinn drew a slow breath in through her nose and made a small tally, the way she had been taught at Hendon a lifetime ago. Assets: sidearm, torch, cuffs, eighteen years of instinct, a face nobody here had seen. Liabilities: no backup, no map, no understanding of what this place actually was, and one suspect who had just paid an admission fee she did not possess. She stepped down off the platform. The hooded figure at the tunnel mouth turned its head as she approached. Under the hood, there was a suggestion of bone structure too long for a human skull, and eyes that caught the lantern light at the wrong angle. Quinn kept her torch low, kept her face neutral, kept her hand far from her coat. "I'm looking for a friend," she said. Her voice came out level. Good. The figure did not speak. It held out one narrow hand, palm up, waiting. Quinn reached into her pocket as if she knew what she was doing. Her fingers closed around a pound coin, a key, and the cold rim of something she didn't remember picking up — some small hard thing that had been in the lining of her coat since the Whitechapel scene. She didn't look at it. She simply drew it out and placed it on the waiting palm. The hood tilted. A long pause. Then the figure stepped aside. Quinn walked into the market, and behind her, very softly, she heard the sound of the door she had come through closing itself.
created_at"2026-04-24T19:40:19.105Z" 4/24/2026, 7:40:19 PM
model"anthropic/claude-4.7-opus-20260416"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1697
moderation_latency(null)
generation_time28789
tokens_prompt914
tokens_completion1584
native_tokens_prompt1269
native_tokens_completion2092
native_tokens_completion_images(null)
native_tokens_reasoning47
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"
usage0.058645
router(null)
provider_responses
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endpoint_id"0fa65117-00d9-4835-808d-9b68041d9ce4"
id"ca8be566-f3fd-4700-8cb3-99547ef61f02"
is_byokfalse
latency658
model_permaslug"anthropic/claude-4.7-opus-20260416"
provider_name"Amazon Bedrock"
status200
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request_id"req-1777059619-88Zz8krR3Wu6rqdQAumT"
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api_type"completions"
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upstream_id"ca8be566-f3fd-4700-8cb3-99547ef61f02"
total_cost0.058645
cache_discount(null)
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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
totalTags3
adverbTagCount0
adverbTags(empty)
dialogueSentences4
tagDensity0.75
leniency1
rawRatio0
effectiveRatio0
90.47% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1049
totalAiIsmAdverbs2
found
0
adverb"very"
count1
1
adverb"softly"
count1
highlights
0"very"
1"softly"
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)
66.63% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1049
totalAiIsms7
found
0
word"efficient"
count1
1
word"throb"
count1
2
word"footsteps"
count1
3
word"electric"
count1
4
word"stomach"
count1
5
word"structure"
count2
highlights
0"efficient"
1"throb"
2"footsteps"
3"electric"
4"stomach"
5"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
narrationSentences83
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences83
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences84
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen56
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1056
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions8
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions32
wordCount1038
uniqueNames15
maxNameDensity0.87
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Soho1
Quinn9
Raven2
Nest2
Herrera2
Brewer1
Street1
Dispatch1
Underground1
Tube1
Morris2
Tomás5
Glock1
Whitechapel2
Hendon1
persons
0"Quinn"
1"Raven"
2"Herrera"
3"Morris"
4"Tomás"
places
0"Soho"
1"Brewer"
2"Street"
3"Whitechapel"
4"Hendon"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences60
glossingSentenceCount1
matches
0"not quite a face — stopped him"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1056
matches(empty)
47.62% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount3
totalSentences84
matches
0"knew that silhouette"
1"look that way"
2"checking that the"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs25
mean42.24
std30.59
cv0.724
sampleLengths
094
183
213
341
417
576
679
75
873
96
109
1195
1254
1316
1440
1570
1628
1766
186
1956
2013
2114
2268
2311
2423
84.13% Passive voice overuse
Target: ≤2% passive sentences
passiveCount5
totalSentences83
matches
0"was bricked"
1"was replaced"
2"was frightened"
3"was gone"
4"been taught"
5.07% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount5
totalVerbs171
matches
0"were complaining"
1"was looking"
2"was running"
3"was shouting"
4"was doing"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount7
semicolonCount2
flaggedSentences7
totalSentences84
ratio0.083
matches
0"He ran the way medics ran — steady, efficient, not wasting motion."
1"Eighteen years on the job and her knees still remembered every chase she'd ever taken; they were complaining now, a dull throb each time her heel hit stone."
2"He ducked under a dripping scaffold and then — she saw it a beat too late — flung himself sideways through a door she'd assumed was bricked up."
3"Not electric light — too warm, too uneven."
4"Protocol was a handrail; she'd leaned on it her whole career."
5"A figure there — tall, hooded, the face not quite a face — stopped him."
6"Her fingers closed around a pound coin, a key, and the cold rim of something she didn't remember picking up — some small hard thing that had been in the lining of her coat since the Whitechapel scene."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1038
adjectiveStacks1
stackExamples
0"Dry, warm against her"
adverbCount31
adverbRatio0.029865125240847785
lyAdverbCount10
lyAdverbRatio0.009633911368015413
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences84
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences84
mean12.57
std9.54
cv0.759
sampleLengths
031
128
212
34
419
59
62
75
828
93
1015
1113
126
132
143
1510
164
1728
182
197
2017
2118
2221
237
248
2522
269
2713
2825
293
3016
3113
325
336
348
3524
3610
3725
386
399
4011
412
423
4324
4411
4516
468
4720
487
4915
69.84% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.47619047619047616
totalSentences84
uniqueOpeners40
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences76
matches
0"Somewhere behind her, her radio"
1"Only that the paperwork had"
2"Then the figure stepped aside."
ratio0.039
72.63% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount28
totalSentences76
matches
0"He ran the way medics"
1"She knew that silhouette."
2"He cut left into an"
3"She ignored them."
4"She'd told Dispatch she was"
5"He did not stop."
6"He ducked under a dripping"
7"It only wanted to look"
8"Her torch came out of"
9"She took the stairs two"
10"It took her a full"
11"She knew the derelict Tube"
12"It was not sealed tonight."
13"She still didn't know what"
14"She watched Tomás reach the"
15"He produced something from his"
16"It glinted yellow-white under the"
17"Her right hand held the"
18"She had, by any reasonable"
19"She had a back room"
ratio0.368
85.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount57
totalSentences76
matches
0"He ran the way medics"
1"She knew that silhouette."
2"Tomás Herrera, twenty-nine, struck off"
3"He cut left into an"
4"Puddles exploded under her boots."
5"She ignored them."
6"The leather of her watch"
7"She'd told Dispatch she was"
8"He did not stop."
9"He ducked under a dripping"
10"It only wanted to look"
11"Quinn skidded, her hand flying"
12"The door opened onto a"
13"Her torch came out of"
14"She took the stairs two"
15"The rain noise faded overhead"
16"The stairwell dumped her out"
17"It took her a full"
18"Camden, she thought."
19"She knew the derelict Tube"
ratio0.75
65.79% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences76
matches
0"If she turned around, it"
ratio0.013
23.81% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences42
technicalSentenceCount7
matches
0"Rain hammered the cobbles of Soho like a drum roll, and Quinn ran through it with her coat flapping and her breath coming in hard white bursts under the sodium …"
1"Ahead of her, twenty yards and pulling, was the curly-haired man who had vaulted the back fence of the Raven's Nest the moment she'd flashed her warrant card."
2"The door opened onto a stairwell that smelled of mildew and something older, something mineral, a catacomb smell."
3"Old cream tiles, an Underground roundel stripped of its lettering, a curve of tunnel that hadn't seen a working train since before she was born."
4"The smell came next: tallow smoke, wet copper, rosewater, and under that a green-rot sweetness that turned her stomach without giving her anything to name."
5"She had a back room at the Raven's Nest with three sets of footprints in dust that shouldn't have footprints in it, and a dead girl in Whitechapel with a wound …"
6"Her fingers closed around a pound coin, a key, and the cold rim of something she didn't remember picking up — some small hard thing that had been in the lining …"
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
totalTags2
fancyCount0
fancyTags(empty)
dialogueSentences4
tagDensity0.5
leniency1
rawRatio0
effectiveRatio0
83.4996%