Run: 2026-07-25-01KYCQWVDD2S4B8ZX59W3TRYQ4

Run Details

Duration:
49.2s
Cost:
$0.073345
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 needle through her collar as she came off Inverness Street at a dead run, boots slapping puddles that shattered the neon into wet confetti. Forty metres ahead, the man in the grey jacket looked back. "Herrera!" She got his name out on a half-breath. "Police! Stop where you are!" He didn't stop. He stripped off his jacket mid-stride and dumped it, which told her everything — a man who dumps his jacket in November has been chased before and knows what a bright colour costs you. Her radio crackled against her sternum. "Control, DI Quinn, foot pursuit north from Camden High Street, male IC3 or IC4, five-ten, dark curly hair, white tee, heading toward the lock. I want a unit on Chalk Farm Road." "Received, ma'am. Nearest unit is eight minutes." "Eight—" She swore, tucked her chin, and ran harder. Eighteen years and her knees still worked, mostly. She'd learned to run in the days before body cams, when a chase had a kind of honesty to it, and she'd learned that most men bolted in straight lines because panic didn't do geometry. Herrera did geometry. He cut left through the gap between a shuttered vape shop and a scaffolding tower, vaulted a stack of pallets without slowing, and vanished. She followed. The alley stank of frying oil and pigeon. Somewhere above her a tarp thrashed in the wind like something drowning. "Tomás." She let her voice carry, flat and reasonable, the voice she used on men holding knives. "You're not under arrest. I want to talk about Wednesday night." His answer came from the dark, closer than she expected. "Then send a letter." "Wednesday night a man came into the Royal Free with two puncture wounds in his neck and a litre of blood missing, and he told the triage nurse a Spanish medic had already treated him in a bar in Soho. Green neon sign. Ring any bells?" Movement — a scrape of grit. She got her torch up and caught him, ten metres on, one hand on a drainpipe. Wet shirt, chest heaving, Saint Christopher swinging bright at his throat. The scar on his left forearm shone under the beam like a seam of solder. "You don't know what you're chasing," he said. "I'm chasing a man who ran." "That's fair." And he was gone again, up over a wall, gone before she'd shifted her weight. She took the wall. It cost her a fingernail and a strip of skin off her palm and she didn't notice until later. They came out on Chalk Farm Road with the rain sheeting sideways and the market gates chained shut, the whole street stripped down to steel shutters and the smell of the canal. Herrera ran with his arms loose, no wasted motion — paramedic legs, she thought, a man who'd spent years carrying weight up stairwells. He crossed against a night bus. The driver's horn tore the street in half. Quinn crossed behind him and felt the wash of heat off the bus's flank, close enough to taste diesel. "Control, subject crossing Chalk Farm—" Her radio spat a burst of white noise and died. She looked down at it. The little green light had gone out. She thumbed it twice. Nothing. She'd seen a radio die like that once before. Three years ago, in a stairwell in Deptford, with Morris breathing beside her, and then Morris not breathing beside her, and then no Morris at all. Nineteen days of searching and a coroner's file with a blank where the cause of death should have been. Her jaw set. She ran. Herrera turned off the road at a hoarding papered over with faded posters for a club that had shut in 2011. He didn't climb it. He put his shoulder into a specific plywood panel and the panel swung inward like a door, because it was a door, and she was twenty metres back and running and she saw exactly how his hand went to the edge and guided it — a man doing something he'd done a hundred times. She caught the panel with her boot before it closed. Beyond was a stairwell going down. Old tile, cream and oxblood, the pattern of an Underground station that hadn't seen a passenger in seventy years. Somebody had strung a cable along the wall and hung bulbs off it every few metres, and the bulbs weren't electric — they held something that moved, a slow drift of pale light like milk turning in water. Rain hammered the plywood behind her. Down the shaft, footsteps, receding. "Herrera." Her voice went nowhere. The tiles ate it. She went down two flights, hand on the rail, and the rail was warm. At the bottom the passage widened. There'd been an arch once, and someone had built into it: a booth of mismatched timber, a curtain of what she badly wanted to believe was leather, and a woman in a wheelchair the size of a throne, wrapped in a coat sewn from at least nine other coats. She was knitting. The needles were bone. "Token," the woman said. Quinn had her warrant card out before she'd decided to. "Metropolitan Police. A man came through here thirty seconds ago—" "Token." "Did he come through here?" The needles clicked. Behind the woman, past the curtain, sound spilled up — hundreds of voices layered wrong, like a crowd recorded in a swimming pool, and beneath the voices a low grinding hum that Quinn felt in her back teeth. Something laughed. Something else answered in a language with too many consonants. "Everyone comes through here," the woman said. "Nobody goes back the way they came. Token, Detective." "I don't have a token." "Then you've a decision, haven't you." The woman lifted her chin toward the curtain, and her eyes, when she finally raised them, had no whites at all. "Down there's the Market. Down there, that card in your hand is a piece of plastic with a picture of a stranger on it. You go in without a token, they'll take one thing off you at the door and they get to choose what it is." Quinn looked at the curtain. Air came through it, warm and sweet-rotten, carrying cinnamon and blood and hot metal. "What kind of thing?" "A year. A finger. A name." A shrug that moved the whole architecture of coats. "Your friend paid two years, once. Bought a boy's life with it. Very sentimental, that one." Quinn's thumb found the worn leather strap of her watch and pressed it against the bone of her wrist. Morris had given her that watch. Morris had gone down a stairwell in Deptford and never come up and the file said nothing, nothing, nothing. Somewhere past the curtain, a man shouted in Spanish and was told to shut up. "Eight minutes," Quinn said, to no one. "The unit's eight minutes out." "They'll not find the door," said the woman. "They never do." Quinn slid her warrant card into her inside pocket. She pushed her wet hair back off her forehead with her scraped palm, and she looked once at the stairs behind her, at the pale drifting bulbs, at the rain-noise that had already faded to nothing. Then she put her hand on the curtain and went through.
created_at"2026-07-25T13:37:07.51Z" 7/25/2026, 1:37:07 PM
model"anthropic/claude-opus-5-20260723"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4108
moderation_latency(null)
generation_time49050
tokens_prompt1104
tokens_completion1842
native_tokens_prompt1574
native_tokens_completion2619
native_tokens_completion_images(null)
native_tokens_reasoning106
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"
usage0.073345
router(null)
provider_responses
0
endpoint_id"76cb4608-f48c-483d-8da8-9957fb44244e"
id"msg_011CdNsBurpbcRFCCRP3r7Jh"
is_byokfalse
latency1589
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-1784986627-wnIQy3YrPl0WBfASXijW"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784986627-2mTT2UFCqRYv0QzFnUaX"
upstream_id"msg_011CdNsBurpbcRFCCRP3r7Jh"
total_cost0.073345
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"Her voice went nowhere [nowhere]"
dialogueSentences30
tagDensity0.367
leniency0.733
rawRatio0.091
effectiveRatio0.067
95.92% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1224
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)
79.58% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1224
totalAiIsms5
found
0
word"shattered"
count1
1
word"weight"
count2
2
word"electric"
count1
3
word"footsteps"
count1
highlights
0"shattered"
1"weight"
2"electric"
3"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
narrationSentences76
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences76
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences93
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen53
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1230
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions9
unquotedAttributions0
matches(empty)
66.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions29
wordCount973
uniqueNames15
maxNameDensity0.82
worstName"Quinn"
maxWindowNameDensity3
worstWindowName"Quinn"
discoveredNames
Inverness1
Street1
November1
Eighteen1
Saint1
Christopher1
Chalk1
Farm1
Road1
Deptford2
Morris5
Underground1
Quinn8
Spanish1
Herrera3
persons
0"Saint"
1"Christopher"
2"Morris"
3"Quinn"
4"Herrera"
places
0"Inverness"
1"Street"
2"Chalk"
3"Farm"
4"Road"
5"Deptford"
6"Spanish"
globalScore1
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences53
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1230
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences93
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs46
mean26.74
std21.8
cv0.815
sampleLengths
035
111
214
337
438
57
69
770
822
928
1014
1146
1248
138
146
1517
1623
1769
1819
1932
2054
215
2279
2310
2463
2511
269
2714
2862
294
3020
311
325
3353
3416
355
3674
3719
384
3931
4044
4115
4212
4311
4445
4511
91.41% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences76
matches
0"been chased"
1"was gone"
2"was told"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs171
matches
0"was knitting"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount6
semicolonCount0
flaggedSentences6
totalSentences93
ratio0.065
matches
0"He stripped off his jacket mid-stride and dumped it, which told her everything — a man who dumps his jacket in November has been chased before and knows what a bright colour costs you."
1"Movement — a scrape of grit."
2"Herrera ran with his arms loose, no wasted motion — paramedic legs, she thought, a man who'd spent years carrying weight up stairwells."
3"He put his shoulder into a specific plywood panel and the panel swung inward like a door, because it was a door, and she was twenty metres back and running and she saw exactly how his hand went to the edge and guided it — a man doing something he'd done a hundred times."
4"Somebody had strung a cable along the wall and hung bulbs off it every few metres, and the bulbs weren't electric — they held something that moved, a slow drift of pale light like milk turning in water."
5"Behind the woman, past the curtain, sound spilled up — hundreds of voices layered wrong, like a crowd recorded in a swimming pool, and beneath the voices a low grinding hum that Quinn felt in her back teeth."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount971
adjectiveStacks0
stackExamples(empty)
adverbCount26
adverbRatio0.026776519052523172
lyAdverbCount4
lyAdverbRatio0.004119464469618949
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences93
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences93
mean13.23
std11.83
cv0.894
sampleLengths
08
127
211
39
45
53
634
76
832
97
109
118
1235
133
1424
152
168
1712
1817
1911
2010
214
2246
236
2416
2511
2615
278
286
2917
304
3119
3232
3323
346
358
3619
3715
385
397
404
411
429
4326
4419
453
462
4721
484
4954
77.06% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.4946236559139785
totalSentences93
uniqueOpeners46
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences71
matches
0"Somewhere above her a tarp"
1"Somewhere past the curtain, a"
2"Then she put her hand"
ratio0.042
73.52% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount26
totalSentences71
matches
0"She got his name out"
1"He didn't stop."
2"He stripped off his jacket"
3"Her radio crackled against her"
4"She swore, tucked her chin,"
5"She'd learned to run in"
6"He cut left through the"
7"She let her voice carry,"
8"His answer came from the"
9"She got her torch up"
10"She took the wall."
11"It cost her a fingernail"
12"They came out on Chalk"
13"He crossed against a night"
14"Her radio spat a burst"
15"She looked down at it."
16"She thumbed it twice."
17"She'd seen a radio die"
18"Her jaw set."
19"He didn't climb it."
ratio0.366
72.68% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount55
totalSentences71
matches
0"Rain came down like it"
1"Quinn felt it needle through"
2"She got his name out"
3"He didn't stop."
4"He stripped off his jacket"
5"Her radio crackled against her"
6"She swore, tucked her chin,"
7"She'd learned to run in"
8"Herrera did geometry."
9"He cut left through the"
10"The alley stank of frying"
11"She let her voice carry,"
12"His answer came from the"
13"Movement — a scrape of"
14"She got her torch up"
15"The scar on his left"
16"She took the wall."
17"It cost her a fingernail"
18"They came out on Chalk"
19"Herrera ran with his arms"
ratio0.775
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences71
matches(empty)
ratio0
8.93% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences32
technicalSentenceCount6
matches
0"Quinn felt it needle through her collar as she came off Inverness Street at a dead run, boots slapping puddles that shattered the neon into wet confetti."
1"He stripped off his jacket mid-stride and dumped it, which told her everything — a man who dumps his jacket in November has been chased before and knows what a …"
2"Herrera ran with his arms loose, no wasted motion — paramedic legs, she thought, a man who'd spent years carrying weight up stairwells."
3"Old tile, cream and oxblood, the pattern of an Underground station that hadn't seen a passenger in seventy years."
4"Somebody had strung a cable along the wall and hung bulbs off it every few metres, and the bulbs weren't electric — they held something that moved, a slow drift…"
5"She pushed her wet hair back off her forehead with her scraped palm, and she looked once at the stairs behind her, at the pale drifting bulbs, at the rain-noise…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags11
uselessAdditionCount0
matches(empty)
83.33% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount2
fancyTags
0"She swore (swear)"
1"Her radio spat (spit)"
dialogueSentences30
tagDensity0.2
leniency0.4
rawRatio0.333
effectiveRatio0.133
84.9697%