Run: 2026-07-25-01KYCPNG3W8KJQQ7C5WR0FSDBQ

Run Details

Duration:
50.1s
Cost:
$0.075245
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
The rain came down like it had a grudge. Quinn hit Dean Street at a dead run, coat flapping, and the wet hit her face in sheets that stole her breath. Ahead, forty metres and gaining, Tomás Herrera vaulted a stack of bin bags and skidded left toward Soho Square. "Herrera!" Her shout bounced off brick and glass. "You're only making this worse for yourself!" He didn't slow. That was answer enough. She'd had him. Ten minutes ago she'd had him at a corner table in the Raven's Nest, green neon washing his face, a glass of something dark in front of him that he hadn't touched. She'd been polite. She'd sat down across from him and asked about the four bodies in Whitechapel with wounds that no coroner in London could explain, and she'd watched his hand go to the Saint Christopher medallion at his throat, and then he'd smiled and said he needed the toilet, and by the time she'd worked out the toilets were behind her he was already through the fire door. Now her lungs burned and her shoes filled with water and she was gaining anyway, because eighteen years on the job meant she knew how to pace a chase and he didn't. He cut through the square gardens. Quinn went round, along the railings, betting on the exit at the north corner, and she won the bet — he came out of the gate six feet from her and she got a fistful of his jacket. "Stop." She wrenched him against the railing. "Stop running." "You don't understand—" His accent thickened when he was frightened. Seville came through the London vowels. "Detective, please, you have to let me go." "Four people are dead." "I know how many people are dead." His eyes went past her shoulder, up, scanning rooflines. "I saw them before you did. Some of them I tried to keep alive." "Then talk to me." "Not here." He looked at her then, and there was something in his face she'd only seen twice in her career, both times on people who'd already decided they were going to die. "Not in the open. Not tonight." He drove his elbow into her forearm — not hard, not a fighter's blow, a paramedic's blow, precise on the nerve — and her hand opened before her brain agreed to it. He was gone up Sutton Row and she was three seconds behind, cursing. Three seconds became four. Four became a street she didn't know. He knew Soho the way rats know a wall cavity, and he ran it like a man following a line drawn for him years ago, doubling through a service alley behind a Chinese restaurant, over a wall, down onto Charing Cross Road with a bus horn screaming. Quinn's radio crackled at her collarbone. She ignored it. If she called it in she'd have to explain what she was doing chasing an unlicensed medic across the West End with no warrant, on a hunch, on a Tuesday. She'd have to explain the file she kept at home, the one with DS Morris's name on it, the one that had photographs in it that didn't make sense. She kept running. Tottenham Court Road. Northern Line entrance closed for engineering works, hoardings up. Herrera didn't hesitate. He hit the hoarding at speed, hooked his fingers into a gap Quinn hadn't even seen, and pulled a panel back like a curtain. "Don't." She was twenty feet away. "Tomás. Don't." He looked back at her once — and God help her, he looked *sorry* — and slipped through. The panel swung shut. Quinn stood in the rain with her hands on her knees and her breath tearing, and water running off the end of her nose, and she thought about all the ways this went wrong. She was alone. Nobody knew where she was. She had a warrant card, a torch, cuffs, and pepper spray, and eighteen years of instinct telling her that whatever was behind that panel was not a disused Tube station. Three years ago Morris had gone into a place like this. She'd waited at street level, because that was the plan, because he'd said *give me ten minutes*, and she'd given him twelve and then she'd gone in and found his torch still on, still warm, standing upright on the platform edge, and nothing else. Not a mark on the concrete. Not a hair. The inquest called it misadventure. Quinn had spent thirty-six months not calling it anything, because there wasn't a word. Her watch said 11:52. The leather strap was black with rain. She put her hand on the panel. *Don't be stupid, Harlow.* She pulled it back and went through. The noise stopped. That was the first wrong thing. The rain, the buses, the drunk shouting on Oxford Street — gone, like someone had shut a door in her head. Behind her the gap in the hoarding showed a strip of orange streetlight and falling water, silent as film. Ahead, a stairwell going down. Tiles the colour of old teeth. The escalators had been ripped out decades ago; someone had bolted a wooden stair into the shaft, and the wood was new, and it was worn in the middle where feet had gone up and down it, thousands of feet, for years. Quinn drew her torch and didn't switch it on. There was light already, coming up from below. Not electric. Warmer than that, and it moved. She went down. Fifty steps. A hundred. The air changed — got thicker, sweeter, spiced with something between cinnamon and wet copper, and under it a low sound she felt in her sternum before she heard it. Voices. Hundreds of them. Trade. The stair ended on a platform, and the platform was not a platform anymore. Stalls ran the length of it and out into the tunnel mouths in both directions, lit by lamps hanging from the curved roof on lengths of chain, and the flames in them were green and blue and one, near the far end, was burning a colour Quinn had no name for. Canvas awnings. Crates. A woman with her face wrapped in grey silk selling teeth from a velvet tray. A man in a suit weighing something on brass scales that had no weights on either side and still tipped. Somebody's child sat on a crate, cross-legged, feeding grapes to something in a cage that had too many joints in its legs. The tiled wall behind them still said NORTHERN LINE in the old lettering. Beneath it, in chalk, someone had written: *DEBTS SETTLED AT THE MOUTH. NO EXCEPTIONS.* Nobody looked at her. That was the second wrong thing, and it was worse than the first. Quinn had walked into a hundred rooms where she wasn't welcome and she knew what it felt like when a room clocked a copper. This room didn't clock her. It *dismissed* her. She stood in her sodden coat with her hand on her useless torch and understood, with a clarity that made her stomach drop, that she was the least dangerous thing on that platform by a considerable margin. Twelve feet in front of her a man sat on a folding stool with a bone the length of her forearm across his knees. "Token," he said. "I'm sorry?" "Bone token." He didn't look up. He was carving something into the bone with a penknife, small and neat. "No token, no market. Up you go." "I'm police." The child on the crate laughed. Actually laughed, out loud, and went back to the grapes. The man with the bone lifted his head. His eyes were entirely ordinary — that was the thing that frightened her — brown, tired, a bit bloodshot, the eyes of a bloke who worked nights. "Yeah," he said. "I know. That's why I'm telling you nicely." Down the platform, past a stall hung with dried things on strings, Quinn caught a flash of a wet jacket and a hand going up to a chain at a throat. Herrera. He'd stopped at a curtained doorway cut into the tunnel wall, and he was talking fast to someone she couldn't see, and then he turned his head and looked straight back down the length of the market at her. He shook his head. Once. *Don't.* Quinn looked at the doorman. At the chalk on the wall. At the green flames and the too-jointed thing in the cage and the woman selling teeth. At 11:58 on her rain-black watch. "What does a token cost?" she said.
created_at"2026-07-25T13:15:37.985Z" 7/25/2026, 1:15:37 PM
model"anthropic/claude-opus-5-20260723"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3039
moderation_latency(null)
generation_time50055
tokens_prompt1104
tokens_completion1977
native_tokens_prompt1574
native_tokens_completion2695
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"
usage0.075245
router(null)
provider_responses
0
endpoint_id"76cb4608-f48c-483d-8da8-9957fb44244e"
id"msg_011CdNqYrE9LufkBHhqCMCUX"
is_byokfalse
latency3039
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-1784985337-adAxB7teEvTKRwUCqqV0"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784985337-WRkJKv67Js0J6tYh5cRY"
upstream_id"msg_011CdNqYrE9LufkBHhqCMCUX"
total_cost0.075245
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
totalTags9
adverbTagCount0
adverbTags(empty)
dialogueSentences22
tagDensity0.409
leniency0.818
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1423
totalAiIsmAdverbs0
found(empty)
highlights(empty)
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)
82.43% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1423
totalAiIsms5
found
0
word"scanning"
count1
1
word"electric"
count1
2
word"silk"
count1
3
word"velvet"
count1
4
word"stomach"
count1
highlights
0"scanning"
1"electric"
2"silk"
3"velvet"
4"stomach"
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
narrationSentences104
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences104
filterMatches
0"know"
1"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences116
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen66
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans6
markdownWords18
totalWords1432
ratio0.013
matches
0"sorry"
1"give me ten minutes"
2"Don't be stupid, Harlow."
3"DEBTS SETTLED AT THE MOUTH. NO EXCEPTIONS."
4"dismissed"
5"Don't."
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions10
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions46
wordCount1342
uniqueNames29
maxNameDensity0.82
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Dean1
Street2
Tomás1
Herrera3
Soho2
Square1
Raven1
Nest1
Whitechapel1
London2
Saint1
Christopher1
Seville1
Sutton1
Row1
Chinese1
Charing1
Cross1
Road2
West1
End1
Tuesday1
Morris2
Court1
Line1
Quinn11
God1
Tube1
Oxford1
persons
0"Tomás"
1"Herrera"
2"Saint"
3"Christopher"
4"Morris"
5"Line"
6"Quinn"
7"God"
places
0"Dean"
1"Street"
2"Soho"
3"Raven"
4"Whitechapel"
5"London"
6"Seville"
7"Charing"
8"Cross"
9"Road"
10"West"
11"End"
12"Court"
13"Oxford"
globalScore1
windowScore1
70.63% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences63
glossingSentenceCount2
matches
0"something between cinnamon and wet copper, and"
1"felt like when a room clocked a copper"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1432
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences116
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs50
mean28.64
std26.99
cv0.942
sampleLengths
050
115
27
3104
432
544
69
724
84
930
104
1139
1245
1358
1468
153
1639
178
1818
194
2034
2138
2283
2311
247
254
267
2749
2853
2925
303
3139
3214
33111
3427
354
3682
3724
383
392
4026
412
4216
4335
4411
4571
466
4727
486
497
95.14% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences104
matches
0"was frightened"
1"was gone"
2"been ripped"
3"was worn"
44.96% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount5
totalVerbs215
matches
0"was gaining"
1"was doing"
2"was burning"
3"was carving"
4"was talking"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount9
semicolonCount1
flaggedSentences7
totalSentences116
ratio0.06
matches
0"Quinn went round, along the railings, betting on the exit at the north corner, and she won the bet — he came out of the gate six feet from her and she got a fistful of his jacket."
1"He drove his elbow into her forearm — not hard, not a fighter's blow, a paramedic's blow, precise on the nerve — and her hand opened before her brain agreed to it."
2"He looked back at her once — and God help her, he looked *sorry* — and slipped through."
3"The rain, the buses, the drunk shouting on Oxford Street — gone, like someone had shut a door in her head."
4"The escalators had been ripped out decades ago; someone had bolted a wooden stair into the shaft, and the wood was new, and it was worn in the middle where feet had gone up and down it, thousands of feet, for years."
5"The air changed — got thicker, sweeter, spiced with something between cinnamon and wet copper, and under it a low sound she felt in her sternum before she heard it."
6"His eyes were entirely ordinary — that was the thing that frightened her — brown, tired, a bit bloodshot, the eyes of a bloke who worked nights."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1337
adjectiveStacks0
stackExamples(empty)
adverbCount28
adverbRatio0.020942408376963352
lyAdverbCount3
lyAdverbRatio0.002243829468960359
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences116
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences116
mean12.34
std12.79
cv1.036
sampleLengths
09
122
219
38
47
53
64
73
832
93
1066
1132
126
1338
147
152
1610
176
188
194
2016
2114
224
2333
246
2532
2613
274
287
2947
306
313
3230
3329
343
353
369
373
3824
396
402
4118
424
4334
443
455
4630
4711
4844
496
65.23% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats11
diversityRatio0.4482758620689655
totalSentences116
uniqueOpeners52
37.04% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences90
matches
0"Actually laughed, out loud, and"
ratio0.011
73.33% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount33
totalSentences90
matches
0"Her shout bounced off brick"
1"He didn't slow."
2"She'd had him."
3"She'd been polite."
4"She'd sat down across from"
5"He cut through the square"
6"She wrenched him against the"
7"His accent thickened when he"
8"His eyes went past her"
9"He looked at her then,"
10"He drove his elbow into"
11"He was gone up Sutton"
12"He knew Soho the way"
13"She ignored it."
14"She'd have to explain the"
15"She kept running."
16"He hit the hoarding at"
17"She was twenty feet away"
18"He looked back at her"
19"She was alone."
ratio0.367
82.22% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount68
totalSentences90
matches
0"The rain came down like"
1"Quinn hit Dean Street at"
2"Her shout bounced off brick"
3"He didn't slow."
4"That was answer enough."
5"She'd had him."
6"She'd been polite."
7"She'd sat down across from"
8"He cut through the square"
9"Quinn went round, along the"
10"She wrenched him against the"
11"His accent thickened when he"
12"Seville came through the London"
13"His eyes went past her"
14"He looked at her then,"
15"He drove his elbow into"
16"He was gone up Sutton"
17"He knew Soho the way"
18"Quinn's radio crackled at her"
19"She ignored it."
ratio0.756
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences90
matches
0"Now her lungs burned and"
1"If she called it in"
ratio0.022
69.60% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences39
technicalSentenceCount4
matches
0"Quinn hit Dean Street at a dead run, coat flapping, and the wet hit her face in sheets that stole her breath."
1"Somebody's child sat on a crate, cross-legged, feeding grapes to something in a cage that had too many joints in its legs."
2"She stood in her sodden coat with her hand on her useless torch and understood, with a clarity that made her stomach drop, that she was the least dangerous thin…"
3"His eyes were entirely ordinary — that was the thing that frightened her — brown, tired, a bit bloodshot, the eyes of a bloke who worked nights."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags9
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount1
fancyTags
0"Her shout (shout)"
dialogueSentences22
tagDensity0.182
leniency0.364
rawRatio0.25
effectiveRatio0.091
87.3530%