Run: 2026-07-25-01KYCRM33MMCQR2J2Z542ARWQH

Run Details

Duration:
51.9s
Cost:
$0.075295
Provider:
Amazon Bedrock

Model input

System
You are an expert fiction writer. Always keep the following rules in mind: - Write in past tense and use General English spelling, grammar, and colloquialisms/slang. - Write in active voice - Always follow the "show, don't tell" principle. - Avoid adverbs and cliches and overused/commonly used phrases. Aim for fresh and original descriptions. - Convey events and story through dialogue. - Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. - Skip "he/she said said" dialogue tags and convey people's actions or face expressions through their speech - Avoid mushy dialog and descriptions, have dialogue always continue the action, never stall or add unnecessary fluff. Vary the descriptions to not repeat yourself. - Put dialogue on its own paragraph to separate scene and action. - Reduce indicators of uncertainty like "trying" or "maybe" When writing text: - NEVER conclude the scene on your own, follow the beat instructions very closely. - NEVER end with foreshadowing. - NEVER write further than what I prompt you with. - AVOID imagining possible endings, NEVER deviate from the instructions. - STOP EARLY if the continuation contains what was required in the instructions. You do not need to fill out the full amount of words possible.
User/Human
Take into account the following glossary of characters/locations/items/lore... when writing your response: <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> Continue the story using the following instructions: <instructions> 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. </instructions>

Model response

AI
Rain came off the roof of the kebab shop in a sheet and Quinn ran through it without slowing. Ahead of her, forty yards up Kentish Town Road, Tomás Herrera vaulted a bike rack and kept going. He ran like a man who'd been trained to move fast while carrying something heavy — elbows tight, head level, no wasted motion. Paramedic's run. She'd clocked it the second he'd bolted from the doorway of the launderette, and she'd known then he wouldn't tire in the first mile. "Herrera!" She got it out between breaths. "Metropolitan Police! Stop running and we can do this indoors!" He glanced back. That was the mistake amateurs made and he made it anyway, and in the orange wash of the streetlamp she saw his face clearly for the first time in eleven days of surveillance photographs. Younger than the file. Terrified in a specific way — not of her. That detail lodged somewhere behind her ribs and stayed there. He cut left into the alley behind the shuttered market stalls. She followed, boots skidding on wet cardboard, one hand out to catch a wall that was slick with something she chose not to identify. Bins. A fire escape. A tarpaulin sagging under a hundredweight of rain that dumped on her shoulders as she shouldered past it. "You're going to run out of alley," she called. "I've had eighteen years of learning where they go." "You've had none of this!" His accent thickened when he shouted. Seville in it, and gravel. "Go home, Detective." "Not my strong suit." The alley opened onto a service road and he took the corner too wide, hand slapping the brick to steady himself, and she gained six yards. Enough to see the sports bag banging against his hip. Enough to see, when he corrected, a flash of gold at his throat on a chain. He hit the fence at the end of the service road and went over it like water. She hit it three seconds later and went over like a forty-one-year-old woman with a bad left knee, and the landing sent a spike of white up her thigh. She swore, straightened, ran. Camden after midnight in November was a set of tunnels made of rain. Sodium light, standing water, a night bus hissing past with its windows fogged and one passenger asleep against the glass. Herrera crossed against the lights and a cab leaned on its horn and swerved and he didn't break stride. Quinn went through the gap the cab left, close enough to feel the heat of the bonnet on her shins. "Tommy." She tried his name the way his friends said it. She'd heard it on a phone intercept twice. "Tommy, listen. Nobody's charged you. Nobody's even written you up. All I want is a name." He didn't answer. He was slowing, though — not from exhaustion. From arriving. He took a right through a gap between two hoardings where the plywood had been pried and rehung, and Quinn came through after him into a pocket of dead ground behind the buildings. Weeds through concrete. A rusted winch. A brick arch, blackened, with a steel plate bolted over it and the plate hanging half off its hinges like a jaw. Above the arch, ghosted into the brick where an enamel sign had been stripped away, she could still read the shape of the letters. A station name. One of the closed ones. One of the ones that weren't on any map printed after 1924. Herrera stopped in front of the gap, chest heaving, and turned to face her. "Don't," he said. Quinn slowed to a walk. Rain ran off her jaw. She kept her hands where he could see them and she kept the distance at fifteen feet, which was the distance she'd been taught and had never once found comforting. "Bag down," she said. "Then we talk about what's in it." "You don't understand what's under there." "Educate me." "There is no version of tonight where I do that." He was pulling something from his jacket pocket, and she moved her hand toward her hip, and he saw it and stopped. Held the thing up. Small. Pale. Curved, the size of a domino. Bone. She could see the porous grain of it in the streetlight bleed. "What is that." "A ticket." He almost laughed. There was no humour anywhere in it. "You want the name, Detective? The name is not a person. That is your problem. That has been your problem since the beginning." "Since the beginning of what?" "Since Morris." The rain kept falling. Quinn heard it on the hoarding, on the weeds, on the steel plate. She heard her own pulse in her ears with a clarity she hadn't experienced since the night she'd stood in a stairwell in Deptford and found her partner's radio still transmitting from a room with nobody in it. "Say that again," she said. "No." Herrera stepped backwards, into the arch. "I'm sorry. I mean that. But I am not the one who is going to explain it to you." "You don't get to say his name and walk." "Watch me." He turned and dropped into the dark, and she heard his boots ring on iron — a ladder, or a stair — and then heard nothing but water finding its way down. Quinn covered the ground in four strides and stopped at the threshold. Cold came up out of it. Not the cold of the street. Something older and drier, moving upward against the rain like breath, carrying dust and rust and, faintly, under it, an odour she couldn't place — burnt sugar and copper and something floral that had died a long time ago. Far below, past a bend in the tunnel, light moved. Not torchlight. Green, and low, and steady as a pilot flame. And there was noise down there. That was the part that made her hand tighten on the doorframe. Voices, a lot of them, and the clatter of trade, and somebody laughing, and under all of it a low sustained note like a wet finger on glass. A market. A market three hundred feet beneath a borough where she had personally kicked in ninety doors and never once heard a rumour of it. She did the arithmetic she was paid to do. No radio down there. No signal. No backup, because she'd come out alone at eleven at night on the strength of a hunch her DCI had described, in writing, as "a personal matter that has begun to affect Detective Quinn's caseload." No warrant. No known exits. No map. An unknown number of persons, at least one of whom knew things about the death of DS Adam Morris that had never appeared in any file, including the one she'd read four hundred times. Every rule she'd built a career on said: mark the location, walk back to the road, call it in at first light with a firearms unit and a dog. She looked down at her left wrist. The watch had been Morris's. The strap had been sweated through and dried out so many times it had gone soft as skin, and the second hand had a little stutter in it, and she had never had it fixed. "Ninety seconds," she said to nobody. "In, eyes on him, out." She was lying and she knew it. Quinn stepped onto the first rung. The iron gave, half an inch, and settled. She reached back with her right hand, hooked the steel plate, and dragged it most of the way shut behind her — enough to hide the gap from the hoardings, not enough to lock. Then she went down into the green light, one hand on the ladder, one hand on the grip of a baton that suddenly seemed like a very stupid thing to be holding.
created_at"2026-07-25T13:49:49.053Z" 7/25/2026, 1:49:49 PM
model"anthropic/claude-opus-5-20260723"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4788
moderation_latency(null)
generation_time51787
tokens_prompt1104
tokens_completion2032
native_tokens_prompt1574
native_tokens_completion2697
native_tokens_completion_images(null)
native_tokens_reasoning226
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"
usage0.075295
router(null)
provider_responses
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endpoint_id"76cb4608-f48c-483d-8da8-9957fb44244e"
id"msg_011CdNtA48iMqSzUAECHLfDQ"
is_byokfalse
latency1514
model_permaslug"anthropic/claude-opus-5-20260723"
provider_name"Amazon Bedrock"
status200
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http_referer(null)
request_id"req-1784987389-rvByoCSc2eRgT95kIh4O"
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api_type"completions"
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upstream_id"msg_011CdNtA48iMqSzUAECHLfDQ"
total_cost0.075295
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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
totalTags11
adverbTagCount0
adverbTags(empty)
dialogueSentences28
tagDensity0.393
leniency0.786
rawRatio0
effectiveRatio0
92.36% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1309
totalAiIsmAdverbs2
found
0
adverb"suddenly"
count1
1
adverb"very"
count1
highlights
0"suddenly"
1"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)
88.54% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1309
totalAiIsms3
found
0
word"charged"
count1
1
word"comforting"
count1
2
word"pulse"
count1
highlights
0"charged"
1"comforting"
2"pulse"
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
narrationSentences92
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences92
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences108
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen38
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1316
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions13
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions22
wordCount1145
uniqueNames12
maxNameDensity0.61
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Quinn7
Kentish1
Town1
Road1
Tomás1
Herrera4
Seville1
November1
Held1
Deptford1
Adam1
Morris2
persons
0"Quinn"
1"Tomás"
2"Herrera"
3"Adam"
4"Morris"
places
0"Kentish"
1"Town"
2"Road"
3"Seville"
4"November"
5"Deptford"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences59
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1316
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences108
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs46
mean28.61
std23.38
cv0.817
sampleLengths
019
167
217
350
410
557
618
719
84
952
1046
114
1272
1335
1413
1561
1644
1714
183
1940
2011
216
222
2344
2413
253
2635
275
282
2955
305
3126
329
332
3432
3512
3672
3772
389
3982
4029
4147
4211
437
4448
4532
82.38% Passive voice overuse
Target: ≤2% passive sentences
passiveCount6
totalSentences92
matches
0"been trained"
1"been pried"
2"been stripped"
3"been taught"
4"was paid"
5"been sweated"
90.11% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs182
matches
0"was slowing"
1"was pulling"
2"was lying"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount7
semicolonCount0
flaggedSentences6
totalSentences108
ratio0.056
matches
0"He ran like a man who'd been trained to move fast while carrying something heavy — elbows tight, head level, no wasted motion."
1"Terrified in a specific way — not of her."
2"He was slowing, though — not from exhaustion."
3"He turned and dropped into the dark, and she heard his boots ring on iron — a ladder, or a stair — and then heard nothing but water finding its way down."
4"Something older and drier, moving upward against the rain like breath, carrying dust and rust and, faintly, under it, an odour she couldn't place — burnt sugar and copper and something floral that had died a long time ago."
5"She reached back with her right hand, hooked the steel plate, and dragged it most of the way shut behind her — enough to hide the gap from the hoardings, not enough to lock."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1141
adjectiveStacks0
stackExamples(empty)
adverbCount32
adverbRatio0.028045574057843997
lyAdverbCount4
lyAdverbRatio0.0035056967572304996
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences108
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences108
mean12.19
std10.51
cv0.863
sampleLengths
019
118
223
32
424
57
610
73
834
94
109
1110
1211
1324
141
153
1618
179
189
1911
205
213
224
2326
2410
2516
2617
2729
284
2913
3020
3119
3220
3311
348
3516
363
378
382
3933
403
413
4222
4324
443
455
4612
4714
483
495
68.21% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats13
diversityRatio0.48148148148148145
totalSentences108
uniqueOpeners52
42.74% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences78
matches
0"Then she went down into"
ratio0.013
86.67% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount26
totalSentences78
matches
0"He ran like a man"
1"She'd clocked it the second"
2"She got it out between"
3"He glanced back."
4"He cut left into the"
5"She followed, boots skidding on"
6"His accent thickened when he"
7"He hit the fence at"
8"She hit it three seconds"
9"She swore, straightened, ran."
10"She tried his name the"
11"She'd heard it on a"
12"He didn't answer."
13"He was slowing, though —"
14"He took a right through"
15"She kept her hands where"
16"He was pulling something from"
17"She could see the porous"
18"He almost laughed"
19"She heard her own pulse"
ratio0.333
100.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount56
totalSentences78
matches
0"Rain came off the roof"
1"He ran like a man"
2"She'd clocked it the second"
3"She got it out between"
4"He glanced back."
5"That was the mistake amateurs"
6"That detail lodged somewhere behind"
7"He cut left into the"
8"She followed, boots skidding on"
9"A fire escape."
10"A tarpaulin sagging under a"
11"His accent thickened when he"
12"Seville in it, and gravel."
13"The alley opened onto a"
14"He hit the fence at"
15"She hit it three seconds"
16"She swore, straightened, ran."
17"Camden after midnight in November"
18"Sodium light, standing water, a"
19"Herrera crossed against the lights"
ratio0.718
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences78
matches(empty)
ratio0
69.60% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences39
technicalSentenceCount4
matches
0"He ran like a man who'd been trained to move fast while carrying something heavy — elbows tight, head level, no wasted motion."
1"She followed, boots skidding on wet cardboard, one hand out to catch a wall that was slick with something she chose not to identify."
2"A tarpaulin sagging under a hundredweight of rain that dumped on her shoulders as she shouldered past it."
3"An unknown number of persons, at least one of whom knew things about the death of DS Adam Morris that had never appeared in any file, including the one she'd re…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags11
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount0
fancyTags(empty)
dialogueSentences28
tagDensity0.179
leniency0.357
rawRatio0
effectiveRatio0
87.3533%