Run: 2026-07-25-01KYCRA11TFDEWMSSA8KF7NCTA

Run Details

Duration:
55.2s
Cost:
$0.080545
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 awnings on Camden High Street in sheets, and Quinn had been watching Tomás Herrera's back for eleven minutes before he made her. He'd come out of the chemist with a carrier bag hooked on two fingers, hood up, and he'd looked left first — wrong direction for a man heading home to Kentish Town. That was the tell. Not the look. The wrongness of it. "Tomás," she called. "Just a word." He ran. The bag swung and clipped a bollard and he kept going, trainers slapping the flooded pavement, and Quinn went after him with her coat flapping open and her radio already at her mouth. "Control, this is DS Quinn, I'm in foot pursuit, Camden High Street heading north, male IC3 mid-twenties—" She corrected herself as she ran. "Late twenties. Grey hoodie. Herrera, Tomás, he's flagged on the Marchetti file." Static chewed the reply. Something about units, something about time. Herrera cut across the road without looking. A night bus laid on its horn and the driver's face went by pale behind wet glass, and Quinn followed through the gap, water to her ankles, one hand out on the bus's flank as it passed close enough to smear her coat. "Don't be stupid," she shouted. "You're not in trouble yet." He glanced back. Rain sat in his eyelashes. The Saint Christopher on its chain had come loose from his collar and it flashed once under the streetlight, a small silver stutter, and then he was gone left into the mouth of an alley beside a shuttered tattoo parlour. Quinn had eighteen years on the job and knees that told her about all of them, but she'd run this borough as a probationer and she knew that alley dead-ended in a yard full of catering bins behind a Turkish grill. She took it at speed. He was on the bins. Up on the lid of one, hands on the top of the brick wall, one leg over, and Quinn got a fist into the back of his hoodie and hauled. They came down together in the wet. His elbow caught her cheekbone. The carrier bag burst and glass rolled, small ampoules skittering across the concrete, a spray of them, and a coil of surgical tubing unwound like something living. "Stay down." She had his wrist, the left one, and her thumb found the ridge of old scar tissue along the forearm, thick as a length of cord. "Nice and easy, Tomás. Talk to me about the storage unit in Hackney Wick." "I don't know any storage unit." "You signed for it." "Somebody signed for it." He wasn't fighting. That was the strange part. He'd gone loose under her hands, the way a man does when he's saving himself for one specific second. "Detective. Listen to me. Whatever you think is in there—" "Bodies." "No." "Blood bags. Refrigerated. Human blood, forty-one units, and your fingerprints on thirty of them." She got her cuffs out. "You were a paramedic. You know how that reads." "It reads wrong." His chest went up and down under her forearm. Water ran off the end of his nose. "You lost someone, didn't you." The cuff stopped an inch from his wrist. "Three years ago." Herrera's voice dropped so far under the noise of the rain she had to lean in. "Sergeant. Morris. They took him off the Whitechapel job and nobody ever wrote down what happened." "Who told you that name." "Everyone knows that name." She should have snapped the cuff shut. She thought about it later — over and over, in the flat grey hours — that the whole thing lasted maybe a second and a half, and in that second and a half she did nothing but breathe. Herrera drove the heel of his hand up under her chin and rolled. He went over the wall like a cat. Quinn was on her feet before he'd landed, tasting copper, and she jammed a boot on the bin lid and hauled herself up and over, and dropped eight feet into a service road behind the market buildings, ankle screaming, and she saw him already forty yards off, running for the canal. "Control, suspect made off, we're heading towards the lock—" The radio said nothing at all now. Not static. Nothing. She looked at it, that dead plastic brick, and something in the base of her skull went cold in a way that had nothing to do with the weather. He didn't go to the canal. He went to a hoarding, a long stretch of blue ply plastered with fly-posters for club nights that had happened years ago, and he put both hands flat on it and pushed and a panel swung inward on hinges someone had oiled recently, and he was through. Quinn hit the gap eight seconds behind him. Stairs. Concrete stairs going down, and the wet-mineral smell of deep London, and tile the colour of old teeth. A Tube station. Not one on any map she'd ever carried. The lettering on the wall had been chipped away deliberately, whole words scraped down to the mortar, and someone had strung cable along the ceiling with bulbs in wire cages every twenty feet. Music came up the stairwell. Not from speakers. Strings, played badly, and under it a hundred voices in a space too large for its purpose. She went down two flights and stopped on the landing. Below her the platform opened out and it was full. Stalls. Trestle tables and hanging lanterns and awnings made of sailcloth, and the tracks themselves floored over with pallets, and the crowd moving between them in a slow river. She saw a woman selling something in jars that moved. She saw a man with no expression at all weighing grey powder on brass scales. Above the tunnel mouth someone had painted a symbol in tar, eight feet high, and Quinn's eyes wanted to slide off it. Herrera was down there. Grey hoodie, cutting right, gone behind a curtain of dried herbs. "Token." The voice came from the dark under the stairs. Quinn spun with her hand going to her hip and found a boy of about sixteen sitting on a milk crate, hood up, holding an umbrella he did not need. "Police," she said. "Congratulations." He didn't move. "Token." "What token." "Then no." He looked past her, up the stairs, bored. "Off you go. It's a nice night for it." Quinn stood there with rain running out of her hair and down inside her collar, and she thought about her radio. Dead. About the pursuit she'd called in that nobody had acknowledged. About the fact that not one soul on this earth knew where she was standing. Eighteen years. Two commendations. A pension in four. And she thought about DS Morris's wife on the doorstep in Chingford asking her, plainly, without heat: what actually happened to him, Harlow? Her hand went to her coat pocket. She'd swept the spilled contents of Herrera's bag off the yard concrete on instinct, the way she'd been trained, evidence first — ampoules, tubing, and something else that had rolled against her boot. She drew it out. A token the size of a poker chip. Yellowed. Not plastic. Bone, drilled through and carved with the same mark as the tar on the tunnel wall. The boy looked at it. Then at her. He tilted the umbrella an inch. "Once you're in," he said, "you're in. Nobody carries you out." Quinn wiped the blood off her lip with her thumb, put the token in his palm, and started down the stairs.
created_at"2026-07-25T13:44:19.267Z" 7/25/2026, 1:44:19 PM
model"anthropic/claude-opus-5-20260723"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency6005
moderation_latency(null)
generation_time55061
tokens_prompt1104
tokens_completion2048
native_tokens_prompt1574
native_tokens_completion2907
native_tokens_completion_images(null)
native_tokens_reasoning260
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"
usage0.080545
router(null)
provider_responses
0
endpoint_id"76cb4608-f48c-483d-8da8-9957fb44244e"
id"msg_011CdNsjkg4yi9fDJfaPnJyq"
is_byokfalse
latency1843
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-1784987059-4fAxgRICzT1bdiedeNSs"
session_id(null)
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api_type"completions"
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upstream_id"msg_011CdNsjkg4yi9fDJfaPnJyq"
total_cost0.080545
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
totalTags11
adverbTagCount1
adverbTags
0"Herrera's voice dropped so [so]"
dialogueSentences31
tagDensity0.355
leniency0.71
rawRatio0.091
effectiveRatio0.065
96.06% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1268
totalAiIsmAdverbs1
found
0
adverb"deliberately"
count1
highlights
0"deliberately"
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)
100.00% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1268
totalAiIsms0
found(empty)
highlights(empty)
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
narrationSentences87
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences87
filterMatches(empty)
hedgeMatches
0"happened to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences106
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen51
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1272
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions9
unquotedAttributions0
matches(empty)
99.77% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions33
wordCount1095
uniqueNames18
maxNameDensity1
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Camden1
High1
Street1
Quinn11
Tomás1
Herrera6
Kentish1
Town1
Static1
Saint1
Christopher1
Turkish1
Water1
London1
Tube1
Morris1
Chingford1
Harlow1
persons
0"Quinn"
1"Tomás"
2"Herrera"
3"Static"
4"Saint"
5"Christopher"
6"Water"
7"Morris"
places
0"Camden"
1"High"
2"Street"
3"Kentish"
4"Town"
5"London"
globalScore0.998
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences52
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1272
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences106
matches
0"knew that alley"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs53
mean24
std19.47
cv0.811
sampleLengths
026
143
26
32
433
535
610
750
810
948
1041
115
1235
1339
1442
156
164
1741
181
191
2028
2125
228
2335
245
254
2645
2713
2859
299
3039
316
3247
338
3463
3525
3610
3786
3815
391
4039
413
425
432
4419
4547
468
4723
4844
4927
93.16% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences87
matches
0"was gone"
1"been chipped"
2"been trained"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs161
matches
0"wasn't fighting"
1"was standing"
61.99% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount0
flaggedSentences3
totalSentences106
ratio0.028
matches
0"He'd come out of the chemist with a carrier bag hooked on two fingers, hood up, and he'd looked left first — wrong direction for a man heading home to Kentish Town."
1"She thought about it later — over and over, in the flat grey hours — that the whole thing lasted maybe a second and a half, and in that second and a half she did nothing but breathe."
2"She'd swept the spilled contents of Herrera's bag off the yard concrete on instinct, the way she'd been trained, evidence first — ampoules, tubing, and something else that had rolled against her boot."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1094
adjectiveStacks0
stackExamples(empty)
adverbCount25
adverbRatio0.022851919561243144
lyAdverbCount8
lyAdverbRatio0.007312614259597806
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences106
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences106
mean12
std11.6
cv0.967
sampleLengths
026
132
24
33
44
53
63
72
833
923
1012
114
126
137
1443
155
165
173
185
1940
2041
215
225
2330
247
255
2627
2728
2814
296
304
317
325
3319
3410
351
361
3719
389
3912
408
415
428
4319
4416
455
464
477
4838
4913
88.05% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.5566037735849056
totalSentences106
uniqueOpeners59
45.66% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences73
matches
0"Then at her."
ratio0.014
72.05% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount27
totalSentences73
matches
0"He'd come out of the"
1"She corrected herself as she"
2"He glanced back."
3"She took it at speed."
4"He was on the bins."
5"They came down together in"
6"His elbow caught her cheekbone."
7"She had his wrist, the"
8"He wasn't fighting"
9"He'd gone loose under her"
10"She got her cuffs out"
11"His chest went up and"
12"She should have snapped the"
13"She thought about it later"
14"He went over the wall"
15"She looked at it, that"
16"He didn't go to the"
17"He went to a hoarding,"
18"She went down two flights"
19"She saw a woman selling"
ratio0.37
55.89% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount59
totalSentences73
matches
0"Rain came off the awnings"
1"He'd come out of the"
2"That was the tell."
3"The wrongness of it."
4"The bag swung and clipped"
5"She corrected herself as she"
6"Static chewed the reply."
7"Something about units, something about"
8"Herrera cut across the road"
9"A night bus laid on"
10"He glanced back."
11"Rain sat in his eyelashes."
12"The Saint Christopher on its"
13"Quinn had eighteen years on"
14"She took it at speed."
15"He was on the bins."
16"They came down together in"
17"His elbow caught her cheekbone."
18"The carrier bag burst and"
19"She had his wrist, the"
ratio0.808
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences73
matches(empty)
ratio0
31.25% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences32
technicalSentenceCount5
matches
0"The bag swung and clipped a bollard and he kept going, trainers slapping the flooded pavement, and Quinn went after him with her coat flapping open and her radi…"
1"Quinn had eighteen years on the job and knees that told her about all of them, but she'd run this borough as a probationer and she knew that alley dead-ended in…"
2"She looked at it, that dead plastic brick, and something in the base of her skull went cold in a way that had nothing to do with the weather."
3"He went to a hoarding, a long stretch of blue ply plastered with fly-posters for club nights that had happened years ago, and he put both hands flat on it and p…"
4"Quinn spun with her hand going to her hip and found a boy of about sixteen sitting on a milk crate, hood up, holding an umbrella he did not need."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags11
uselessAdditionCount0
matches(empty)
85.48% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount2
fancyTags
0"She corrected (correct)"
1"she shouted (shout)"
dialogueSentences31
tagDensity0.161
leniency0.323
rawRatio0.4
effectiveRatio0.129
87.6460%