Run: 2026-04-24-01KQ0G01D6JTM048QZ2TV0XR9D

Run Details

Duration:
34.3s
Cost:
$0.068920
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 came down in sheets that turned Camden High Street into a smear of sodium light and moving shadow, and Detective Harlow Quinn ran through it with her coat slapping wet against her thighs and her breath cutting hot in her throat. Ahead of her, Tomás Herrera threaded the Friday-night crowd like a man who had practiced it, shoulders low, the collar of his jacket turned up against the downpour. He did not look back. He did not need to. He'd made her outside The Raven's Nest twenty minutes ago — she'd seen the recognition snap behind his eyes the moment she'd stepped through the green neon — and he'd been running ever since. "Herrera!" she shouted, and the word tore away into traffic. "Tomás, stop!" He didn't. He jinked left, shoulder-checked a drunk tourist into the gutter, and bolted across Chalk Farm Road on the wrong side of the light. A black cab slammed its brakes, horn dragging, and Quinn went after him, one hand out to the bonnet as she slid past. The driver mouthed something obscene. She didn't care. She was watching the back of Herrera's head, the little dark curls plastered now to his neck, the Saint Christopher catching a streetlamp's white when his jacket flared. Patron saint of travellers. Funny, she thought, in the detached way she always thought when her pulse was up. Funny for a man who couldn't stop running. He cut down a side street — one of those narrow service roads that smelled of bin-juice even in rain — and the crowd thinned to nothing. Her boots hit a cobbled stretch and she felt the impact travel up into her knees. Eighteen years she'd been doing this. Eighteen years and a worn leather watchstrap that had gone through three buckles and one funeral, and she still moved like the army had taught her to move, spine straight, hands loose, eyes on the target and the target only. Herrera ducked under a scaffolding strut and disappeared around a corner. When Quinn rounded it, he was gone. She slowed, drew her baton — not her firearm, not yet; Met rules, and besides, she didn't believe he was armed — and stepped into the alley with her back to the brick. Rainwater ran from her cropped hair down the sharp angle of her jaw. Her breath steamed. The alley dead-ended at a boarded-up doorway and a sagging wrought-iron gate that had once, by the look of the tile-work above it, been the entrance to an Underground station. CAMDEN TOWN — one of the old disused ones, the kind the Tube Board pretended had never existed. She'd passed it a hundred times in the back of panda cars and never given it a second thought. The gate was open. A sliver, no more. Beyond it, a staircase went down into dark. Quinn crouched, torch clicked on, beam cutting a cone through the wet. Footprints on the top step, fresh, water pooling in the tread-marks. Smaller than she'd expected. He'd gone quiet on the descent; she couldn't hear him below. She thumbed her radio. "DI Quinn to control. In pursuit of suspect Tomás Herrera, entering the disused station off—" She glanced at the alley mouth. No street sign. "—off Hartland Road, Camden. Requesting backup to my location, over." The radio hissed. Not static, exactly. Something closer to interference, like a wasp in a tin. Then a voice came, but it was not the voice of control, and the words it used were not words Quinn knew, and after a second the hiss ate them too. "Control," she said again. "Control, do you copy." Nothing. She stood very still for a count of five. Rain ticked on the cobbles behind her. Somewhere above, a siren wailed past on the High Street and did not slow. The gate breathed cold air up out of the dark, and the cold had a smell on it — not damp, not mildew, but something more like burnt honey, and under that, very faintly, iron. Three years ago, in a basement off Shadwell, her partner DS Morris had walked through a door and not come back out. She had gone in after him and found the room empty. No other exits. No body. No blood. Just the same burnt-honey smell, faint enough that afterwards she'd told herself she'd imagined it. She had spent three years telling herself she'd imagined it. She wasn't imagining this. Quinn closed her eyes for a second. Opened them. Clicked the torch off so she wouldn't announce herself, and stepped through the gate. The stairs were Victorian tile, cracked, slick with something that was not only water. Her hand found the rail — wrought iron, cold enough to bite through her glove — and she went down one step at a time, feeling ahead with the toe of her boot. The sounds of the street shortened behind her, then shut off entirely, as if a door had closed though no door had moved. Her ears popped. At the first landing, the stairwell opened into a tunnel, and the tunnel was not empty. Lanterns hung at intervals along it — not electric; actual flame, green-tinged, the colour of the bar's neon she had just left, but smaller and steadier. By their light she saw figures moving, a lot of them, the shapes of people and the shapes not-quite of people, hooded and unhooded, cloaked and in ordinary anoraks, carrying baskets and cases and small covered cages. A low murmur rose off them — a market's murmur, the bargain-hum she knew from Brick Lane on a Sunday morning — but threaded through with languages her ear could not catch hold of. Stalls ran the length of the platform beyond, where once trains had screamed, and on those stalls she saw things that her brain, trained and stubborn and decorated and eighteen years in, refused in the first instant to parse. A man nearest her turned his head. He had no eyes, only a fine line of stitches where the eyes should have been, and he looked at her anyway. He smiled very slightly and went back to his business. Quinn's hand went to the grip of her baton and stayed there. Twenty feet down the platform, half-turned, scanning the crowd for her and not seeing her yet, stood Tomás Herrera. He was speaking urgently to a woman in a long oilskin who held a small scale in one palm. A bone token, white as a milk tooth, passed between them. Herrera's hand was shaking. Quinn watched him. Watched the crowd. Watched the green flame bend without wind. She thought of Morris. She thought of the burnt-honey smell in the Shadwell basement and of every file she had flagged over three years and been told, politely and then less politely, to unflag. She thought of the radio in her pocket that did not work down here, and of the fact that no one on the surface knew where she was, and of the way the stitched-eyed man had smiled as if he had been expecting her. Eighteen years of training said: withdraw. Call it in from street level. Come back with a team, with warrants, with floodlights, with the full and unambiguous weight of the Metropolitan Police. Eighteen years of training had not prepared her for a market that smelled of burnt honey, or for a suspect who flinched at bone. Across the platform, Herrera pocketed whatever the woman had given him and began to move. Quinn stepped off the last stair, into the green light, and followed.
created_at"2026-04-24T19:38:17.591Z" 4/24/2026, 7:38:17 PM
model"anthropic/claude-4.7-opus-20260416"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1870
moderation_latency(null)
generation_time33914
tokens_prompt914
tokens_completion1884
native_tokens_prompt1269
native_tokens_completion2503
native_tokens_completion_images(null)
native_tokens_reasoning58
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"
usage0.06892
router(null)
provider_responses
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endpoint_id"0fa65117-00d9-4835-808d-9b68041d9ce4"
id"798b3674-2e1e-4209-ac7f-d8694e16d068"
is_byokfalse
latency919
model_permaslug"anthropic/claude-4.7-opus-20260416"
provider_name"Amazon Bedrock"
status200
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http_referer(null)
request_id"req-1777059497-vVjvSX7LfFxEgNnADFsl"
session_id(null)
api_type"completions"
id"gen-1777059497-6bbcFDKb0vqSsSHne5oa"
upstream_id"798b3674-2e1e-4209-ac7f-d8694e16d068"
total_cost0.06892
cache_discount(null)
upstream_inference_cost0
provider_name"Amazon Bedrock"
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Evaluation details

Result Evaluator Details Meta Data
0.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags3
adverbTagCount1
adverbTags
0"she said again [again]"
dialogueSentences6
tagDensity0.5
leniency1
rawRatio0.333
effectiveRatio0.333
84.08% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1256
totalAiIsmAdverbs4
found
0
adverb"very"
count3
1
adverb"slightly"
count1
highlights
0"very"
1"slightly"
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)
80.10% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1256
totalAiIsms5
found
0
word"pulse"
count1
1
word"electric"
count1
2
word"tinged"
count1
3
word"scanning"
count1
4
word"weight"
count1
highlights
0"pulse"
1"electric"
2"tinged"
3"scanning"
4"weight"
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
narrationSentences88
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences88
filterMatches(empty)
hedgeMatches
0"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences90
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen45
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1268
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions53
wordCount1244
uniqueNames30
maxNameDensity0.72
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Herrera"
discoveredNames
Camden2
High2
Street2
Detective1
Harlow1
Quinn9
Tomás2
Herrera6
Friday-night1
Raven1
Nest1
Chalk1
Farm1
Road2
Saint1
Christopher1
Met1
Underground1
Tube1
Board1
Hartland1
Shadwell2
Morris2
Victorian1
Brick1
Lane1
Sunday1
Metropolitan1
Police1
Eighteen4
persons
0"Harlow"
1"Quinn"
2"Tomás"
3"Herrera"
4"Saint"
5"Christopher"
6"Met"
7"Board"
8"Morris"
places
0"Camden"
1"High"
2"Street"
3"Raven"
4"Chalk"
5"Farm"
6"Road"
7"Underground"
8"Hartland"
9"Shadwell"
10"Brick"
11"Lane"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences62
glossingSentenceCount1
matches
0"not-quite of people, hooded and unhooded, cloaked and in ordinary anoraks, carrying baskets and cases and small covered cages"
42.27% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches2
per1kWords1.577
wordCount1268
matches
0"not damp, not mildew, but something more like burnt honey"
1"not mildew, but something more like burnt honey"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences90
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs30
mean42.27
std38.51
cv0.911
sampleLengths
0115
112
2111
389
411
57
6116
716
838
94
1034
1147
128
131
1465
1565
164
1723
1873
1916
20136
2139
2212
2353
2413
2578
2631
2724
2815
2912
93.30% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences88
matches
0"was gone"
1"was armed "
2"been told"
61.11% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs192
matches
0"was watching"
1"wasn't imagining"
2"was speaking"
3"was shaking"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount14
semicolonCount3
flaggedSentences10
totalSentences90
ratio0.111
matches
0"He'd made her outside The Raven's Nest twenty minutes ago — she'd seen the recognition snap behind his eyes the moment she'd stepped through the green neon — and he'd been running ever since."
1"He cut down a side street — one of those narrow service roads that smelled of bin-juice even in rain — and the crowd thinned to nothing."
2"She slowed, drew her baton — not her firearm, not yet; Met rules, and besides, she didn't believe he was armed — and stepped into the alley with her back to the brick."
3"CAMDEN TOWN — one of the old disused ones, the kind the Tube Board pretended had never existed."
4"He'd gone quiet on the descent; she couldn't hear him below."
5"\"—off Hartland Road, Camden. Requesting backup to my location, over.\""
6"The gate breathed cold air up out of the dark, and the cold had a smell on it — not damp, not mildew, but something more like burnt honey, and under that, very faintly, iron."
7"Her hand found the rail — wrought iron, cold enough to bite through her glove — and she went down one step at a time, feeling ahead with the toe of her boot."
8"Lanterns hung at intervals along it — not electric; actual flame, green-tinged, the colour of the bar's neon she had just left, but smaller and steadier."
9"A low murmur rose off them — a market's murmur, the bargain-hum she knew from Brick Lane on a Sunday morning — but threaded through with languages her ear could not catch hold of."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount538
adjectiveStacks0
stackExamples(empty)
adverbCount8
adverbRatio0.01486988847583643
lyAdverbCount1
lyAdverbRatio0.0018587360594795538
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences90
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences90
mean14.09
std11.34
cv0.805
sampleLengths
043
128
25
35
434
510
62
72
823
923
105
113
1228
134
1415
158
1627
1716
186
1940
2011
217
2233
2313
243
2530
2618
2719
284
294
308
3112
3211
334
3411
354
3621
373
3810
393
403
4110
4231
434
444
451
469
477
4814
4935
60.37% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats14
diversityRatio0.45555555555555555
totalSentences90
uniqueOpeners41
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences83
matches
0"Then a voice came, but"
1"Somewhere above, a siren wailed"
2"Just the same burnt-honey smell,"
ratio0.036
85.06% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount28
totalSentences83
matches
0"He did not look back."
1"He did not need to."
2"He'd made her outside The"
3"she shouted, and the word"
4"He jinked left, shoulder-checked a"
5"She didn't care."
6"She was watching the back"
7"He cut down a side"
8"Her boots hit a cobbled"
9"She slowed, drew her baton"
10"Her breath steamed."
11"She'd passed it a hundred"
12"He'd gone quiet on the"
13"She thumbed her radio."
14"She glanced at the alley"
15"she said again"
16"She stood very still for"
17"She had gone in after"
18"She had spent three years"
19"She wasn't imagining this."
ratio0.337
100.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount57
totalSentences83
matches
0"The rain came down in"
1"He did not look back."
2"He did not need to."
3"He'd made her outside The"
4"she shouted, and the word"
5"He jinked left, shoulder-checked a"
6"A black cab slammed its"
7"The driver mouthed something obscene."
8"She didn't care."
9"She was watching the back"
10"Patron saint of travellers."
11"He cut down a side"
12"Her boots hit a cobbled"
13"Herrera ducked under a scaffolding"
14"She slowed, drew her baton"
15"Rainwater ran from her cropped"
16"Her breath steamed."
17"The alley dead-ended at a"
18"CAMDEN TOWN — one of"
19"She'd passed it a hundred"
ratio0.687
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences83
matches(empty)
ratio0
68.45% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences48
technicalSentenceCount5
matches
0"The rain came down in sheets that turned Camden High Street into a smear of sodium light and moving shadow, and Detective Harlow Quinn ran through it with her c…"
1"Ahead of her, Tomás Herrera threaded the Friday-night crowd like a man who had practiced it, shoulders low, the collar of his jacket turned up against the downp…"
2"Eighteen years and a worn leather watchstrap that had gone through three buckles and one funeral, and she still moved like the army had taught her to move, spin…"
3"The alley dead-ended at a boarded-up doorway and a sagging wrought-iron gate that had once, by the look of the tile-work above it, been the entrance to an Under…"
4"She thought of the radio in her pocket that did not work down here, and of the fact that no one on the surface knew where she was, and of the way the stitched-e…"
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags3
uselessAdditionCount1
matches
0"she shouted, and the word tore away into traffic"
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount1
fancyTags
0"she shouted (shout)"
dialogueSentences6
tagDensity0.333
leniency0.667
rawRatio0.5
effectiveRatio0.333
75.8246%