Run: 2026-04-24-01KQ0GCNBWMA18JFJFAY4GFDD3

Run Details

Duration:
31.3s
Cost:
$0.064245
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 in sheets, slicking the pavement until the streetlights bled across it in long orange streaks. Quinn moved at a hard clip, her coat plastered to her shoulders, her breath cutting white through the dark. Ahead, Herrera ran. He had twenty metres on her and the kind of stride that said he'd done this before. She clocked the way he took the corners, clipping the brickwork with his left hand, never slowing. A paramedic's legs. A runner's lungs. "Herrera! Stop where you are!" He didn't turn. Didn't even flinch. Just vaulted the low railing outside the shuttered chemist and cut south, his trainers kicking up a spray that caught the light like struck flint. Quinn went after him. Eighteen years of service and she'd learned early that you didn't shout twice. You ran, or you lost them. Her radio crackled at her collar. She'd stopped listening to it three streets back. Dispatch wanted a unit, dispatch wanted a location, dispatch wanted half a dozen things she couldn't give them while her boots were hammering wet stone. Herrera ducked into an alley. She followed, shoulder scraping brick, and caught the flash of his jacket twenty feet down. A bin went over behind him. He didn't look back. He ran like he had somewhere specific to be, not away from something but toward it, and that was the thing that bothered her most. A man with a plan was worse than a man in a panic. "Tomás." She kept her voice low this time, saving breath. "Tomás, don't make me do this in the rain." The alley spat them out onto Camden High Street. Saturday night, even in the downpour, and the pavement still had its drunks and its queue outside the chippy, umbrellas tilting. Herrera cut through the crowd with his head down and his elbows tight. Somebody swore at him. Somebody else laughed. Quinn shoved past with her badge up, not that anyone looked. She lost him for three seconds at the lights. Three seconds was enough. When the crowd parted she saw him cross against the traffic, horn blaring, and drop down the steps of what used to be the Camden Town Tube entrance. The one boarded up since '07. The one with the council hoarding on it, peeling now, graffiti layered so thick it looked quilted. He slipped through a gap in the boards like he'd done it a hundred times. Quinn reached the top of the steps and stopped. Her hand went to her radio. Then to her sidearm, which she didn't carry, which she never carried, which eighteen years of policing in this city had not required of her. Rain ran down the back of her neck and under her collar. Her left wrist throbbed where she'd caught it on the railing, and the leather of her watch strap had gone dark with wet. Below her, the stairs dropped into black. "Control, DCI Quinn. I've got a foot pursuit terminating at the old Camden Town entrance, northbound side. Suspect has entered the structure. Requesting—" The radio hissed. Not the usual crackle. A long, flat hiss, like breath through teeth. Then silence. She tried again. Nothing. Not even the carrier tone. She stood on the top step with her hand on the hoarding and felt the wind come up the stairwell against her face. It didn't smell like an abandoned Tube station. It didn't smell like damp concrete or piss or rust. It smelled like cold iron and something sweet underneath, something that reminded her, absurdly, of the greenhouse at Kew where her mother had taken her as a child. Three years ago, Morris had gone into a place that smelled like that. And Morris hadn't come out. Quinn shut her eyes. She'd put Herrera on the board two months back. Former paramedic, struck off, no fixed address that stuck. Seen twice at the Raven's Nest in Soho, both times with faces she couldn't get IDs on. Tonight she'd watched him leave a flat in Kentish Town with a satchel that clinked when he moved, and she'd called out, and he'd looked her dead in the eye for half a second before he ran. He hadn't looked afraid. He'd looked sorry. That was the detail that kept snagging her. A man who runs isn't sorry. A man who's sorry doesn't run. Unless he's running toward something he needs more than he needs to be free of you. She took the first step down. The hoarding gave more easily than it should have. The nails had been pulled and set back loose. Somebody maintained this entrance. Somebody used it. Her torch was in her coat pocket. She brought it out, thumbed it on, and the beam cut a narrow tunnel through the dark. Old tile, cream and green, Edwardian by the look of it. Posters half-peeled from the walls, advertising films that had come out when she was at school. Dust on the steps, but not as much as there should have been. Footprints in it. Dozens. Going down. She went down. At the bottom of the first flight the air changed. Warmer. A draught from somewhere further in, carrying voices — not English, not any one language, a low murmur that braided together and came apart. Light, too. Not electric. Something yellower. It flickered against the far wall of the next landing like firelight off water. She turned the corner and stopped again. The passage ahead opened out. Where the ticket hall should have been, where she remembered from the briefing photos a boarded-up empty floor with pigeon shit and needles, there was instead a room. Stalls. Lanterns strung on cable. A figure in a long coat weighing something on a set of brass scales. Another figure — tall, wrong somehow in the shoulders — leaning on a pillar with a cigarette that gave off blue smoke. And beyond them, crossing the room at a fast walk, not running now, Herrera. He pulled something from inside his jacket and pressed it into the palm of a woman at the far stall. The woman nodded him through a curtain of hanging chains. Quinn pressed herself against the tile. Her radio was dead. Her back-up didn't know where she was. She didn't have a weapon. She didn't have a name for what she was looking at, and the part of her that had made Detective Chief Inspector at thirty-eight was telling her, very clearly, to go back up those stairs. The other part of her — the part that still heard Morris on the phone three years ago, saying Harlow, it's not what we think it is, it's not — that part took a slow breath and thumbed the torch off. She stepped out of the stairwell and into the market.
created_at"2026-04-24T19:45:11.039Z" 4/24/2026, 7:45:11 PM
model"anthropic/claude-4.7-opus-20260416"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2237
moderation_latency(null)
generation_time31187
tokens_prompt1140
tokens_completion1710
native_tokens_prompt1579
native_tokens_completion2254
native_tokens_completion_images(null)
native_tokens_reasoning70
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"
usage0.064245
router(null)
provider_responses
0
endpoint_id"0fa65117-00d9-4835-808d-9b68041d9ce4"
id"258cfea8-e5ca-4a8d-bd01-340bbaaf8cf1"
is_byokfalse
latency901
model_permaslug"anthropic/claude-4.7-opus-20260416"
provider_name"Amazon Bedrock"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777059911-9JikTgNp7xnL6CgioW3J"
session_id(null)
api_type"completions"
id"gen-1777059911-HCuCNt2f29K2okl9lDXw"
upstream_id"258cfea8-e5ca-4a8d-bd01-340bbaaf8cf1"
total_cost0.064245
cache_discount(null)
upstream_inference_cost0
provider_name"Amazon Bedrock"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags1
adverbTagCount0
adverbTags(empty)
dialogueSentences4
tagDensity0.25
leniency0.5
rawRatio0
effectiveRatio0
95.57% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1129
totalAiIsmAdverbs1
found
0
adverb"very"
count1
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)
77.86% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1129
totalAiIsms5
found
0
word"throbbed"
count1
1
word"structure"
count1
2
word"silence"
count1
3
word"electric"
count1
4
word"flickered"
count1
highlights
0"throbbed"
1"structure"
2"silence"
3"electric"
4"flickered"
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
emotionTells1
narrationSentences103
matches
0"looked afraid"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences103
filterMatches
0"watch"
1"think"
hedgeMatches(empty)
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
maxSentenceWordsSeen39
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1134
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions37
wordCount1095
uniqueNames20
maxNameDensity0.55
worstName"Quinn"
maxWindowNameDensity1
worstWindowName"Herrera"
discoveredNames
Herrera5
Camden2
High1
Street1
Town2
Tube2
Kew1
Morris3
Raven1
Nest1
Soho1
Kentish1
Edwardian1
English1
Detective1
Chief1
Inspector1
Harlow1
Quinn6
Somebody4
persons
0"Herrera"
1"Morris"
2"Quinn"
3"Somebody"
places
0"Camden"
1"High"
2"Street"
3"Town"
4"Tube"
5"Kew"
6"Raven"
7"Soho"
8"Kentish"
globalScore1
windowScore1
74.24% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences66
glossingSentenceCount2
matches
0"smelled like cold iron and something sweet"
1"smelled like that"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.882
wordCount1134
matches
0"not away from something but toward it"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences106
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs37
mean30.65
std23.7
cv0.773
sampleLengths
037
13
240
35
431
523
639
768
819
961
109
1155
1215
139
1466
157
1623
1717
189
1969
2018
214
2272
237
2436
256
2625
2770
283
2955
307
3174
3244
336
3451
3541
3610
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences103
matches
0"been pulled"
91.30% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs184
matches
0"were hammering"
1"was looking"
2"was telling"
61.99% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount0
flaggedSentences3
totalSentences106
ratio0.028
matches
0"A draught from somewhere further in, carrying voices — not English, not any one language, a low murmur that braided together and came apart."
1"Another figure — tall, wrong somehow in the shoulders — leaning on a pillar with a cigarette that gave off blue smoke."
2"The other part of her — the part that still heard Morris on the phone three years ago, saying Harlow, it's not what we think it is, it's not — that part took a slow breath and thumbed the torch off."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount378
adjectiveStacks0
stackExamples(empty)
adverbCount6
adverbRatio0.015873015873015872
lyAdverbCount1
lyAdverbRatio0.0026455026455026454
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
mean10.7
std8.56
cv0.8
sampleLengths
018
119
23
317
417
53
63
75
83
93
1025
114
1213
136
146
158
1625
175
1815
196
204
2125
2213
2310
249
259
2621
2713
284
293
3011
319
324
3328
346
3517
3615
379
386
3925
4012
4123
427
4323
443
454
468
472
483
491
58.49% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats13
diversityRatio0.42452830188679247
totalSentences106
uniqueOpeners45
70.92% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences94
matches
0"Just vaulted the low railing"
1"Then to her sidearm, which"
ratio0.021
75.32% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount34
totalSentences94
matches
0"He had twenty metres on"
1"She clocked the way he"
2"He didn't turn."
3"You ran, or you lost"
4"Her radio crackled at her"
5"She'd stopped listening to it"
6"She followed, shoulder scraping brick,"
7"He didn't look back."
8"He ran like he had"
9"She kept her voice low"
10"She lost him for three"
11"He slipped through a gap"
12"Her hand went to her"
13"Her left wrist throbbed where"
14"She tried again."
15"She stood on the top"
16"It didn't smell like an"
17"It didn't smell like damp"
18"It smelled like cold iron"
19"She'd put Herrera on the"
ratio0.362
61.06% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount75
totalSentences94
matches
0"Rain came down in sheets,"
1"Quinn moved at a hard"
2"He had twenty metres on"
3"She clocked the way he"
4"A paramedic's legs."
5"A runner's lungs."
6"He didn't turn."
7"Quinn went after him."
8"You ran, or you lost"
9"Her radio crackled at her"
10"She'd stopped listening to it"
11"Dispatch wanted a unit, dispatch"
12"Herrera ducked into an alley."
13"She followed, shoulder scraping brick,"
14"A bin went over behind"
15"He didn't look back."
16"He ran like he had"
17"A man with a plan"
18"She kept her voice low"
19"The alley spat them out"
ratio0.798
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences94
matches(empty)
ratio0
40.82% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences42
technicalSentenceCount6
matches
0"Just vaulted the low railing outside the shuttered chemist and cut south, his trainers kicking up a spray that caught the light like struck flint."
1"He ran like he had somewhere specific to be, not away from something but toward it, and that was the thing that bothered her most."
2"It smelled like cold iron and something sweet underneath, something that reminded her, absurdly, of the greenhouse at Kew where her mother had taken her as a ch…"
3"Posters half-peeled from the walls, advertising films that had come out when she was at school."
4"A draught from somewhere further in, carrying voices — not English, not any one language, a low murmur that braided together and came apart."
5"She didn't have a name for what she was looking at, and the part of her that had made Detective Chief Inspector at thirty-eight was telling her, very clearly, t…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags1
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
86.9194%