Run: 2026-07-25-01KYCR7XXK8XVH0VQGM086HFJ7

Run Details

Duration:
50.6s
Cost:
$0.073945
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 down like it had a grudge, hammering the pavement outside the kebab shop on Kentish Town Road, and Quinn saw him through the window before he saw her. Curly hair flattened to his skull. Olive skin gone grey under the strip lighting. He had a paper bag in one hand and a phone pressed to his ear, and when he turned his head, the Saint Christopher medallion caught the light and gave him away as surely as a fingerprint. She keyed her radio, then thought better of it and let go. The bell over the door jangled. Tomás Herrera looked up, and eighteen years of decorated service told her exactly what she'd see next — the flick of the eyes to her waist, to the exits, the shift of weight onto the balls of the feet. "Tomás Herrera." She held up her warrant card, water running off the plastic. "Metropolitan Police. I want twenty minutes of your time and then you can go home." "You have the wrong man." "You've got a scar on your left forearm, a Spanish accent, and you were struck off the register in March. I've got the right man." He dropped the paper bag. He went out the back, through a beaded curtain and a kitchen that smelled of scorched lamb fat, and Quinn went after him, shouldering past a teenager holding two cans of Coke. Her shoulder took the fire door. The alley beyond was a black slot of brick and rain, wheelie bins slumped like drunks, and Herrera was already at the far end, arms pumping, feet slapping through standing water. "Herrera! Stop!" He didn't. They never did. She ran. Forty-one years old and she still ran well — she'd made a point of it, of never becoming the sort of detective who arrived after the running was finished — and she closed six feet in the first thirty yards. Then he hit the street and the crowd swallowed him. Camden on a Friday night, in the rain. Umbrellas at eye level. Music leaking out of every doorway, three different songs fighting for the same air. Herrera cut left across the traffic and a cab horn tore open the street, tyres shrieking, a driver leaning out to scream something the rain flattened into nothing. Quinn went after him between the bumper and the kerb. Water came up over her ankle, cold enough to sting. "Move. Police. Move." The lock crowd outside the pub parted, slow and resentful. She lost him. Found him again — the medallion, a wink of silver under a streetlamp — and he was going right, off the main drag, down towards the canal. Her lungs began to complain. She let them. He knew these streets. That was the thing she filed away as she ran, the thing she'd think about later: he never checked a street sign, never hesitated at a junction. He took a gap in the hoarding by the old bridge works that she wouldn't have known was there, and then a set of steps down to the towpath where the lamps had been out so long the council had probably forgotten them. The water beside her lay black and pockmarked. A narrowboat sat dark, chimney cold. Her footsteps and his footsteps came back off the tunnel mouth ahead, doubled, tripled, and for a moment she couldn't tell whether he was in front of her or behind. "Herrera!" Her voice bounced. "Nobody's charging you with anything! I want to talk about the twelfth of October!" The running stopped. She slowed. Twenty feet ahead, at the mouth of the tunnel, he'd turned around. He stood with his hands on his knees, chest heaving, and he was laughing — the ugly, breathless kind of laugh that came out of people right before they cried. "The twelfth of October," he repeated. "You should go home, detective." "Three people went into a building on Bayham Street. Two came out. The third's on a slab with her blood volume down forty per cent and no wound to explain it." Quinn kept walking, easy, hands loose. "You were seen going in with a bag. Medical bag. You tell me what you did in there and this is a witness statement, not a caution." "You wouldn't believe the statement." "Try me. I've got a very open mind and very wet socks." He straightened. Wiped his face with the back of his wrist. And she watched something in him tip over — some calculation land the wrong way — because he glanced left, at the brick wall under the bridge, and she understood a half-second too late that the chase wasn't finished. He hit the wall and the wall opened. Not a door. Not the way a door opened. A section of Victorian brick swung inward on nothing she could see, and behind it was a stairwell — white tile, cracked and yellowed, the kind that used to say things like WAY OUT and NO SPITTING in enamel letters. A draught came out of it. Warm. It smelled of cardamom and hot metal and something else, something like a butcher's shop in August. Herrera went down the stairs three at a time. Quinn stopped at the threshold with her hand on the frame and her heart going like a fist on a door. Eighteen years. She had walked into crack houses in Tottenham and a burning flat in Peckham and once, memorably, a shipping container that turned out to have four men in it and one of them with a machete. She had never in her life seen a wall do that. Three years ago DS Morris had gone through a door in Wapping ahead of her and come back out with his hair white and no memory of his wife's name, and the inquest had used the phrase *stress-related dissociative episode* eleven times, and Quinn had counted every one. Down the stairs, faint, someone was playing a fiddle. "Ticket." She spun. A boy sat on an upturned crate just inside the entrance, fourteen at most, hood up, a book open on his knee. He hadn't been there. She'd have sworn on the Bible he hadn't been there. "Say that again." "Ticket." He didn't look up. "No token, no market. Rules." "Police." She showed the card. He glanced at it the way you'd glance at a bus timetable in a foreign country. "Don't mean nothing down here, love." "What's down there?" "Everything." He turned a page. "Bloke who just went past, he had a token. You don't." Quinn crouched. The rain drummed on the towpath behind her, on the canal, on the roof of the dark narrowboat, and in front of her the warm cardamom air moved past her face and down into the tile. There, on the second step, catching the light: a small flat disc, ivory-coloured, drilled through with a single hole. Bone. Still wet from his hand. She picked it up. "He dropped it," she said. The boy looked up for the first time. Under the hood his eyes were the wrong colour entirely. "Then you've got a ticket," he said. "Wouldn't recommend it." Quinn stood. She thought about the radio in her pocket and the report she'd have to write and the words she'd have to find for it, and how none of them existed. She thought about Morris saying her name in the hospital like it was a word in a language he'd stopped speaking. The fiddle stopped. Down in the dark, a crowd made a sound — a low collective *ahhh*, like a market when the price drops. She closed her fist around the bone and went down the stairs.
created_at"2026-07-25T13:43:10.524Z" 7/25/2026, 1:43:10 PM
model"anthropic/claude-opus-5-20260723"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4233
moderation_latency(null)
generation_time50461
tokens_prompt1104
tokens_completion1980
native_tokens_prompt1574
native_tokens_completion2643
native_tokens_completion_images(null)
native_tokens_reasoning204
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"
usage0.073945
router(null)
provider_responses
0
endpoint_id"76cb4608-f48c-483d-8da8-9957fb44244e"
id"msg_011CdNsefugVkhNfBKtTjaeN"
is_byokfalse
latency1720
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-1784986990-R3j815zvlLTJTqvGlJPc"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784986990-2NJ7Q6hxtGlR7IQBqHWd"
upstream_id"msg_011CdNsefugVkhNfBKtTjaeN"
total_cost0.073945
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)
dialogueSentences26
tagDensity0.346
leniency0.692
rawRatio0
effectiveRatio0
92.14% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1273
totalAiIsmAdverbs2
found
0
adverb"very"
count2
highlights
0"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)
84.29% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1273
totalAiIsms4
found
0
word"weight"
count1
1
word"pumping"
count1
2
word"footsteps"
count2
highlights
0"weight"
1"pumping"
2"footsteps"
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
narrationSentences82
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences82
filterMatches(empty)
hedgeMatches
0"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences99
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen48
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans2
markdownWords4
totalWords1283
ratio0.003
matches
0"stress-related dissociative episode"
1"ahhh"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions11
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions27
wordCount1089
uniqueNames16
maxNameDensity0.73
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Kentish1
Town1
Road1
Quinn8
Saint1
Christopher1
Herrera4
Coke1
Friday1
Victorian1
August1
Tottenham1
Peckham1
Morris2
Wapping1
Bible1
persons
0"Quinn"
1"Saint"
2"Christopher"
3"Herrera"
4"Morris"
places
0"Kentish"
1"Town"
2"Road"
3"August"
4"Tottenham"
5"Peckham"
6"Wapping"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences52
glossingSentenceCount1
matches
0"something like a butcher's shop in August"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1283
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences99
matches
0"works that she"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs50
mean25.66
std22.13
cv0.862
sampleLengths
030
151
212
345
428
55
625
75
869
92
105
1152
1274
133
1440
158
1674
1744
1818
193
2044
2111
2264
235
2412
2550
268
2773
289
2921
3049
3148
329
331
3438
353
3610
3721
386
393
4016
4138
4225
434
445
4518
4610
4753
4824
4912
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences82
matches(empty)
83.04% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs171
matches
0"was going"
1"was laughing "
2"was playing"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount10
semicolonCount0
flaggedSentences7
totalSentences99
ratio0.071
matches
0"Tomás Herrera looked up, and eighteen years of decorated service told her exactly what she'd see next — the flick of the eyes to her waist, to the exits, the shift of weight onto the balls of the feet."
1"Forty-one years old and she still ran well — she'd made a point of it, of never becoming the sort of detective who arrived after the running was finished — and she closed six feet in the first thirty yards."
2"Found him again — the medallion, a wink of silver under a streetlamp — and he was going right, off the main drag, down towards the canal."
3"He stood with his hands on his knees, chest heaving, and he was laughing — the ugly, breathless kind of laugh that came out of people right before they cried."
4"And she watched something in him tip over — some calculation land the wrong way — because he glanced left, at the brick wall under the bridge, and she understood a half-second too late that the chase wasn't finished."
5"A section of Victorian brick swung inward on nothing she could see, and behind it was a stairwell — white tile, cracked and yellowed, the kind that used to say things like WAY OUT and NO SPITTING in enamel letters."
6"Down in the dark, a crowd made a sound — a low collective *ahhh*, like a market when the price drops."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1082
adjectiveStacks0
stackExamples(empty)
adverbCount29
adverbRatio0.026802218114602587
lyAdverbCount7
lyAdverbRatio0.006469500924214418
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences99
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences99
mean12.96
std12.14
cv0.936
sampleLengths
030
16
28
337
412
56
639
713
815
95
1025
115
1232
136
1431
152
162
173
182
1940
2010
218
224
2314
2428
2510
2610
273
2810
293
3027
315
323
334
3427
3543
368
376
3830
394
4014
413
422
4312
4430
456
465
4737
4827
495
71.04% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.47474747474747475
totalSentences99
uniqueOpeners47
96.62% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences69
matches
0"Then he hit the street"
1"Still wet from his hand."
ratio0.029
51.88% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount29
totalSentences69
matches
0"He had a paper bag"
1"She keyed her radio, then"
2"She held up her warrant"
3"He dropped the paper bag."
4"He went out the back,"
5"Her shoulder took the fire"
6"They never did."
7"She lost him."
8"Her lungs began to complain."
9"She let them."
10"He knew these streets."
11"He took a gap in"
12"Her footsteps and his footsteps"
13"Her voice bounced"
14"He stood with his hands"
15"He hit the wall and"
16"It smelled of cardamom and"
17"She had walked into crack"
18"She had never in her"
19"He hadn't been there."
ratio0.42
61.45% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount55
totalSentences69
matches
0"Rain came down like it"
1"Olive skin gone grey under"
2"He had a paper bag"
3"She keyed her radio, then"
4"The bell over the door"
5"Tomás Herrera looked up, and"
6"She held up her warrant"
7"He dropped the paper bag."
8"He went out the back,"
9"Her shoulder took the fire"
10"The alley beyond was a"
11"They never did."
12"Camden on a Friday night,"
13"Umbrellas at eye level."
14"Music leaking out of every"
15"Herrera cut left across the"
16"Quinn went after him between"
17"Water came up over her"
18"The lock crowd outside the"
19"She lost him."
ratio0.797
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences69
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences36
technicalSentenceCount2
matches
0"Forty-one years old and she still ran well — she'd made a point of it, of never becoming the sort of detective who arrived after the running was finished — and …"
1"A section of Victorian brick swung inward on nothing she could see, and behind it was a stairwell — white tile, cracked and yellowed, the kind that used to say …"
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
totalTags3
fancyCount1
fancyTags
0"he repeated (repeat)"
dialogueSentences26
tagDensity0.115
leniency0.231
rawRatio0.333
effectiveRatio0.077
88.0157%