Run: 2026-07-25-01KYCPPCP82E9B665EKW6T2DS0

Run Details

Duration:
53.5s
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
Rain came down like it had a grudge. Quinn felt it running inside her collar, tracing the ridge of her spine, and she ran anyway, boots slapping through the sodium-lit slick of Camden High Street. Forty metres ahead, the man in the grey jacket vaulted a bollard. "Police! Stop!" He didn't. They never did. What he did was glance back — just a flick of the head, water flying off his curls — and she caught the face for the second time that night. Olive skin. Something bright at his throat catching the streetlight. A medallion on a chain, bouncing as he ran. Herrera. Tomás Herrera. Struck off the paramedic register eighteen months ago, no fixed address on file, and a name that kept surfacing in the margins of her case like a stain coming through wallpaper. Quinn went after him. Her radio was a dead weight on her shoulder. She'd tried it twice on Kentish Town Road and got nothing but a hiss that sounded almost like breathing, and she'd stopped trying because there were only so many times you could hear that and stay reasonable about it. Three years ago Morris had gone into a stairwell in Deptford with a working radio, and what came back over the air before he stopped answering was the same hiss. She didn't think about that. She ran. Herrera cut left into Buck Street, past the shuttered market stalls, tarpaulins bulging with rainwater and dumping it in sudden grey slabs. He was quick. Quick and clever — he took the narrow gaps, the places her shoulders would catch, and twice she lost half a second squeezing through where he'd flowed. But he was tiring. She heard it. That ragged edge in the breath, the way his stride started to slap instead of spring. Eighteen years. Quinn had run down men in Peckham, Tottenham, on a canal towpath in January with a knife wound in her forearm. She knew the sound of a man about to stop. "Herrera!" She had breath for it. She wanted him to know she had breath for it. "You keep going, you'll finish the night in a cell either way. Make it easy." He answered without turning, and his voice came back over his shoulder, torn up by the running. "Not going to a cell." "That's not how it works." "You don't know how anything works." He went right. Off the road, down a service lane behind the old stables, and Quinn's stomach did something unpleasant because she knew the lane. She'd walked it in daylight with a clipboard and a uniform constable, checking the backs of premises for a burglary series in the spring. It ended in a wall. It ended in a brick wall with a fire escape ladder up to a roof and nothing else, and if he went up that ladder she'd have him, because she was faster on a ladder than any man who'd already run a mile. He didn't go up the ladder. He went to the wall — to a section of hoarding, plywood painted over with layers of flyers, DRAINAGE WORKS and something for a club night in November — and he hit it with his shoulder, and it swung. Quinn came to a stop with twenty feet between them. Water hammered the bins on either side of her. Herrera stood in the gap, one hand braced on the plywood, chest heaving, and the light coming out from behind him was wrong. Not the wrong colour. The wrong *behaviour*. It moved like light off water when there was no water, and it fell on his face in slow ripples, and it made the wet stone under his feet look like the inside of a shell. "Don't." Herrera got the word out between breaths. He wasn't threatening her. That was the thing that stopped her cold — there was nothing in it but warning, the flat professional warning of a man who'd spent years telling people not to move the injured. "Detective. Whatever your name is. Don't follow me through here." "Detective Sergeant Harlow Quinn." She kept her hands loose. Kept her weight forward. "Metropolitan Police." "Congratulations." He coughed, spat into the rain. "Go home." "What's behind the board, Tomás?" "Nothing you have paperwork for." She took a step. He took one back, and the ripple-light slid over his shoulders like something looking at her. "You've been in three places I care about," she said. "Nineteenth of last month, Silas' bar in Soho — the one with the green sign. Second of this month, a lock-up in Hackney Wick where a man lost four pints of blood and then apparently walked home. And tonight." Another step. "Tonight you were kneeling over a woman in an alley off Inverness Street with your hands inside her and she was talking to you. Talking, Tomás. With that much of her open." "She's alive because of that." "She was on fire and it wasn't burning her." Herrera's mouth moved into something that wasn't a smile. "Then you already know. So go home." He turned and went through the gap. Quinn stood in the rain with the plywood swinging and the light breathing out of it, and she did the arithmetic she'd been avoiding for three years. No radio. No backup. No PACE caution that would survive a courtroom. A pursuit into premises she couldn't describe on a form because the form assumed the premises had a street number. Her watch said 11:52 and the leather strap had gone dark with water and Morris had bought her that watch, second-hand, for her thirty-eighth birthday, four months before he walked into a stairwell. *Everything about this is wrong,* she thought. *Everything about this is exactly the same.* She'd stood at the bottom of the Deptford stairwell for eleven minutes. Eleven. She'd counted them afterwards from the call log, sat at her kitchen table at four in the morning with a glass of something she didn't finish. Eleven minutes waiting for the unit she'd requested. And when she'd gone up, the flat had been empty, the window shut from the inside, and Morris' shoes had been standing neatly in the middle of the floor with his feet not in them. She'd done it right. She'd followed procedure, she'd waited for support, and procedure had eaten her partner. Quinn went to the gap. Up close it smelled of cold and copper and, underneath, something like cut grass. The plywood was warm. Not warm from the day — there'd been no day, it had rained since Tuesday — warm the way a hand is warm. She put her palm flat on it and felt a pulse that didn't match her own. She went through. The rain stopped like a switch. That was the first thing — three seconds of downpour and then nothing on her head, and the roar of it cut to a hum behind her, and the silence had weight. She was on a staircase. Tiled walls, cream and oxblood, that particular Edwardian tiling the Underground used a century ago, and half of it was gone and the plaster behind it hung open like a wound. The steps went down further than they had any business going. Her torch found the bottom and lost interest. There was a sound rising up out of it. Voices, hundreds of them, the specific overlapping burr of a market — but pitched wrong, some of it too low, some of it going up past where she could follow, and threaded through it a bell being rung at intervals with no rhythm she could count. Light bloomed from below, that same slow ripple, red and gold. And forty feet down, Herrera stopped on a landing and looked up at her, and his face wasn't triumphant. It was frightened for her, which was worse. "You have no token," he called up. "Do you understand what I'm saying? You can't buy anything, you can't sell anything, and you can't ask for anything. Not water. Not directions. Nothing." Quinn came down two steps. Her hand was on the rail and the rail was bone-smooth and she chose not to look at it. "Then answer my questions and I won't have to ask anyone else." "That's not—" He dragged a hand down his face. Water and something darker came off his palm. "The Market moves every full moon. Tonight it's under Camden. Tomorrow it's not here and neither is that staircase, and if you're still inside when it goes—" "Then we'd both better be quick." Somewhere below, the crowd noise dipped, all at once, the way a room goes quiet when a stranger walks in. Quinn took the next step down.
created_at"2026-07-25T13:16:07.246Z" 7/25/2026, 1:16:07 PM
model"anthropic/claude-opus-5-20260723"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2156
moderation_latency(null)
generation_time53387
tokens_prompt1104
tokens_completion2040
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_011CdNqb1gDzSHhpfSB5RLuw"
is_byokfalse
latency2155
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-1784985367-X11IskRjsD6GkDgVEYLG"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784985367-STdcAwPkkPZR0gWTbmox"
upstream_id"msg_011CdNqb1gDzSHhpfSB5RLuw"
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
totalTags8
adverbTagCount0
adverbTags(empty)
dialogueSentences26
tagDensity0.308
leniency0.615
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1443
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)
75.74% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1443
totalAiIsms7
found
0
word"tracing"
count1
1
word"weight"
count3
2
word"stomach"
count1
3
word"pulse"
count1
4
word"silence"
count1
highlights
0"tracing"
1"weight"
2"stomach"
3"pulse"
4"silence"
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
narrationSentences94
matches(empty)
97.26% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences94
filterMatches
0"look"
1"watch"
hedgeMatches
0"started to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences112
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen45
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans3
markdownWords13
totalWords1454
ratio0.009
matches
0"behaviour"
1"Everything about this is wrong,"
2"Everything about this is exactly the same."
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
totalMentions38
wordCount1196
uniqueNames20
maxNameDensity0.75
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Herrera"
discoveredNames
Camden1
High1
Street2
Herrera7
Kentish1
Town1
Road1
Morris2
Deptford2
Buck1
Peckham1
Tottenham1
January1
Quinn9
November1
Kept1
Tuesday1
Edwardian1
Underground1
Water2
persons
0"Street"
1"Herrera"
2"Morris"
3"Buck"
4"Quinn"
5"Kept"
6"Tuesday"
7"Edwardian"
8"Underground"
9"Water"
places
0"Camden"
1"High"
2"Kentish"
3"Town"
4"Road"
5"Deptford"
6"Peckham"
7"Tottenham"
8"January"
9"November"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences61
glossingSentenceCount1
matches
0"something like cut grass"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1454
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences112
matches
0"up that ladder"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs50
mean29.08
std26.51
cv0.912
sampleLengths
035
112
22
354
434
54
678
77
875
933
1031
1117
125
135
146
1597
166
1739
1842
1943
2055
2115
229
235
245
2520
2683
275
289
2916
307
3127
3265
3314
3482
3517
365
3757
383
3993
4055
4111
4227
4332
4424
4512
4644
476
4820
496
94.06% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences94
matches
0"was gone"
1"being rung"
2"was frightened"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs195
matches
0"wasn't threatening"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount10
semicolonCount0
flaggedSentences7
totalSentences112
ratio0.063
matches
0"What he did was glance back — just a flick of the head, water flying off his curls — and she caught the face for the second time that night."
1"Quick and clever — he took the narrow gaps, the places her shoulders would catch, and twice she lost half a second squeezing through where he'd flowed."
2"He went to the wall — to a section of hoarding, plywood painted over with layers of flyers, DRAINAGE WORKS and something for a club night in November — and he hit it with his shoulder, and it swung."
3"That was the thing that stopped her cold — there was nothing in it but warning, the flat professional warning of a man who'd spent years telling people not to move the injured."
4"Not warm from the day — there'd been no day, it had rained since Tuesday — warm the way a hand is warm."
5"That was the first thing — three seconds of downpour and then nothing on her head, and the roar of it cut to a hum behind her, and the silence had weight."
6"Voices, hundreds of them, the specific overlapping burr of a market — but pitched wrong, some of it too low, some of it going up past where she could follow, and threaded through it a bell being rung at intervals with no rhythm she could count."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount922
adjectiveStacks0
stackExamples(empty)
adverbCount17
adverbRatio0.01843817787418655
lyAdverbCount2
lyAdverbRatio0.0021691973969631237
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences112
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences112
mean12.98
std11.19
cv0.862
sampleLengths
08
127
212
32
42
53
630
72
88
99
101
112
1231
134
149
1539
1630
175
182
1922
203
2127
224
233
2416
252
2621
2710
286
2910
3015
3117
325
335
346
353
3622
3724
385
3943
406
4139
4210
439
4423
454
463
4736
488
494
61.01% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats10
diversityRatio0.41964285714285715
totalSentences112
uniqueOpeners47
40.16% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences83
matches
0"Somewhere below, the crowd noise"
ratio0.012
46.51% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount36
totalSentences83
matches
0"They never did."
1"Her radio was a dead"
2"She'd tried it twice on"
3"She didn't think about that."
4"He was quick."
5"She heard it."
6"She knew the sound of"
7"She had breath for it"
8"She wanted him to know"
9"He answered without turning, and"
10"He went right."
11"She'd walked it in daylight"
12"It ended in a wall."
13"It ended in a brick"
14"He didn't go up the"
15"He went to the wall"
16"It moved like light off"
17"He wasn't threatening her."
18"She kept her hands loose"
19"He coughed, spat into the"
ratio0.434
74.46% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount64
totalSentences83
matches
0"Rain came down like it"
1"Quinn felt it running inside"
2"They never did."
3"Something bright at his throat"
4"A medallion on a chain,"
5"Quinn went after him."
6"Her radio was a dead"
7"She'd tried it twice on"
8"She didn't think about that."
9"Herrera cut left into Buck"
10"He was quick."
11"She heard it."
12"That ragged edge in the"
13"Quinn had run down men"
14"She knew the sound of"
15"She had breath for it"
16"She wanted him to know"
17"He answered without turning, and"
18"He went right."
19"She'd walked it in daylight"
ratio0.771
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences83
matches(empty)
ratio0
69.60% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences39
technicalSentenceCount4
matches
0"Quinn felt it running inside her collar, tracing the ridge of her spine, and she ran anyway, boots slapping through the sodium-lit slick of Camden High Street."
1"Struck off the paramedic register eighteen months ago, no fixed address on file, and a name that kept surfacing in the margins of her case like a stain coming t…"
2"She'd tried it twice on Kentish Town Road and got nothing but a hiss that sounded almost like breathing, and she'd stopped trying because there were only so man…"
3"That was the thing that stopped her cold — there was nothing in it but warning, the flat professional warning of a man who'd spent years telling people not to m…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags8
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount1
fancyTags
0"He coughed (cough)"
dialogueSentences26
tagDensity0.077
leniency0.154
rawRatio0.5
effectiveRatio0.077
85.2936%