Run: 2026-02-19-01KHV72HMZFZMGTV4QCDRGHV3Z

Run Details

Duration:
34.0s
Cost:
$0.024228
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
The rain had turned Soho into a mirror. Every streetlamp doubled itself in the black puddles, and Detective Harlow Quinn ran through the reflections without looking down. She'd clocked him outside the Raven's Nest twenty minutes ago — a thin man in a waxed jacket who'd been watching the entrance for the better part of an hour before slipping inside, staying twelve minutes, then leaving with something tucked under his arm wrapped in brown paper. That was enough. She'd been watching the Nest for six weeks. Anything that moved in or out moved with purpose, and purpose was exactly what she was building a case around. He was fast for someone who didn't know he was being followed. Quinn gained ground on Charing Cross Road, dodging a group of tourists huddled under a single inadequate umbrella, her boots hitting the pavement in the rhythm she'd kept since Hendon training days. Sharp jaw set. Breathing controlled. He glanced back. There it was — the slight rotation of the head, the stumble in his stride. He knew. He broke into a full sprint across the junction at Cambridge Circus, a cab leaning on its horn as he cleared the bonnet by half a metre. Quinn followed without breaking stride, one hand briefly on the warm metal of the cab's roof as she vaulted past. The driver shouted something she didn't catch. He cut left into a narrow passage between two Georgian terraces, then right again onto a street she didn't immediately recognise — the city folding itself into unfamiliar geometry the way it did when you left the main arteries. The green neon of the Raven's Nest sign was already two streets behind her. Rain came in sideways now, needling her cheeks, and she blinked it away. He was heading north. She pulled out her phone without slowing, tried to pin the route, but he ducked into a stairwell she nearly missed entirely — worn stone steps descending below street level, no signage, the kind of entrance that registered as a maintenance shaft unless you were looking. She stopped at the top of the steps. Steam rose from a grille somewhere below. The passage smelled of damp stone and something older, something mineral and faintly sweet that she couldn't name. Fluorescent light flickered up from the bottom of the stairs, weak and intermittent. Quinn stood in the rain and thought about DS Morris. Three years ago, Morris had followed a lead into a building in Bermondsey that shouldn't have contained what it contained. He'd gone in radioing that he had eyes on the suspect. He'd come out two days later in a condition the coroner's report described, inadequately, as exposure-related organ failure. He had been thirty-four years old. He had taken his coffee with two sugars and kept a photograph of his daughter on his desk. She descended. The stairwell opened into what had clearly once been a Tube station — the curved Victorian brickwork was unmistakable, terracotta tiles still adhering to the walls in patches, the ghost of a station name barely legible beneath decades of grime. But the platforms on either side of the dry tracks had been transformed into something that bore no relationship to Transport for London's remit. Stalls. Dozens of them, stretching the length of the platform under a canopy of mismatched lighting — Edison bulbs strung between iron hooks, lanterns burning something that wasn't quite gas, strips of cold blue LEDs that gave the sellers' faces an aquatic pallor. The crowd moved at a low, unhurried frequency entirely at odds with the hour. A man in a long coat with his back to her examined rows of glass vials arranged by colour. Two women conferred in whispered Spanish over a wooden box whose contents Quinn couldn't see from this distance. A child — she thought it was a child — sat on an upturned crate eating something that left dark stains on its fingers. None of them looked up when she arrived. She scanned for the waxed jacket. The crowd was thick enough to lose him, thin enough to track if she moved quickly. She stepped down from the stairwell access onto the platform and felt the change immediately — a shift in air pressure, a faint resistance, as if the atmosphere here maintained a slightly different density. Her ears adjusted with the small pop of altitude change. A hand closed around her wrist. "You're going to want to relax your hand away from that." She looked down. Her right hand had gone automatically to the inside of her jacket where her warrant card lived alongside her personal-issue Glock. She hadn't consciously decided to reach for either. The man holding her wrist was around thirty, olive-skinned, a Saint Christopher medallion catching the blue LED light at his throat. A scar ran the length of his left forearm — she clocked it because his sleeves were rolled to the elbow despite the underground chill. He wasn't gripping hard. His hold was the kind that communicated information rather than force. "Tomás Herrera." She recognised the name from the periphery of her case notes. Former NHS paramedic, license revoked under circumstances the file described vaguely. "You know me." His warm brown eyes moved past her shoulder to the crowd, assessing. "Which means you came in here with a badge and a name and absolutely no idea what this place does to both." "I'm following a suspect." "Everyone down here is someone's suspect." He released her wrist, stepped back, hands open at his sides. "The man you followed — waxed jacket, carrying a package — he's already gone. There are three exits from this platform and he knows all of them. You don't know any." Quinn looked down the length of the market. The stalls receded into shadow at both ends. She couldn't see where they terminated. "What is this place." It wasn't entirely a question. He seemed to understand the distinction. "Somewhere that doesn't appear in any case file you're building." He picked up a small canvas bag from the floor beside him — medical supplies, she noted, the shape of it familiar. "And somewhere that will end your career, your case, and possibly your physical continuity if you start flashing credentials."
created_at"2026-02-19T15:07:41.409Z" 2/19/2026, 3:07:41 PM
model"anthropic/claude-4.6-sonnet-20260217"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency819
moderation_latency163
generation_time33285
tokens_prompt1140
tokens_completion1581
native_tokens_prompt1126
native_tokens_completion1390
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)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.024228
router(null)
provider_responses
0
endpoint_id"83d802cb-44f2-45a0-a9d5-cb9bf79777c8"
id"38c8d371-7595-40b8-a153-3e218e271d7a"
is_byokfalse
latency818
model_permaslug"anthropic/claude-4.6-sonnet-20260217"
provider_name"Amazon Bedrock"
status200
api_type"completions"
id"gen-1771513661-s1b0VrjzlqrnbYn02V4P"
upstream_id"38c8d371-7595-40b8-a153-3e218e271d7a"
total_cost0.024228
cache_discount(null)
upstream_inference_cost0
provider_name"Amazon Bedrock"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags5
adverbTagCount0
adverbTags(empty)
dialogueSentences10
tagDensity0.5
leniency1
rawRatio0
effectiveRatio0
90.33% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1034
totalAiIsmAdverbs2
found
0
adverb"quickly"
count1
1
adverb"slightly"
count1
highlights
0"quickly"
1"slightly"
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)
75.82% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1034
totalAiIsms5
found
0
word"flickered"
count1
1
word"scanned"
count1
2
word"chill"
count1
3
word"absolutely"
count1
4
word"familiar"
count1
highlights
0"flickered"
1"scanned"
2"chill"
3"absolutely"
4"familiar"
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
narrationSentences63
matches(empty)
97.51% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount2
narrationSentences63
filterMatches(empty)
hedgeMatches
0"tried to"
1"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences69
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen47
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1043
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
totalMentions34
wordCount926
uniqueNames25
maxNameDensity0.65
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Soho1
Detective1
Harlow1
Quinn6
Raven2
Nest3
Charing1
Cross1
Road1
Hendon1
Cambridge1
Circus1
Georgian1
Morris2
Bermondsey1
Tube1
Victorian1
Transport1
London1
Edison1
Spanish1
Glock1
Saint1
Christopher1
Former1
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Morris"
4"Edison"
5"Saint"
6"Christopher"
places
0"Soho"
1"Charing"
2"Cross"
3"Road"
4"Cambridge"
5"Georgian"
6"Bermondsey"
7"Transport"
8"London"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences52
glossingSentenceCount1
matches
0"quite gas, strips of cold blue LEDs that gave the"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1043
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences69
matches
0"radioing that he"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs29
mean35.97
std28.59
cv0.795
sampleLengths
027
179
249
33
417
554
666
750
88
938
1010
1173
122
1364
14118
158
1666
176
1811
1932
2061
2124
2237
234
2448
2522
264
2711
2851
88.55% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences63
matches
0"being followed"
1"been transformed"
2"were rolled"
65.77% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs149
matches
0"was building"
1"was heading"
2"were looking"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount11
semicolonCount0
flaggedSentences10
totalSentences69
ratio0.145
matches
0"She'd clocked him outside the Raven's Nest twenty minutes ago — a thin man in a waxed jacket who'd been watching the entrance for the better part of an hour before slipping inside, staying twelve minutes, then leaving with something tucked under his arm wrapped in brown paper."
1"There it was — the slight rotation of the head, the stumble in his stride."
2"He cut left into a narrow passage between two Georgian terraces, then right again onto a street she didn't immediately recognise — the city folding itself into unfamiliar geometry the way it did when you left the main arteries."
3"She pulled out her phone without slowing, tried to pin the route, but he ducked into a stairwell she nearly missed entirely — worn stone steps descending below street level, no signage, the kind of entrance that registered as a maintenance shaft unless you were looking."
4"The stairwell opened into what had clearly once been a Tube station — the curved Victorian brickwork was unmistakable, terracotta tiles still adhering to the walls in patches, the ghost of a station name barely legible beneath decades of grime."
5"Dozens of them, stretching the length of the platform under a canopy of mismatched lighting — Edison bulbs strung between iron hooks, lanterns burning something that wasn't quite gas, strips of cold blue LEDs that gave the sellers' faces an aquatic pallor."
6"A child — she thought it was a child — sat on an upturned crate eating something that left dark stains on its fingers."
7"She stepped down from the stairwell access onto the platform and felt the change immediately — a shift in air pressure, a faint resistance, as if the atmosphere here maintained a slightly different density."
8"A scar ran the length of his left forearm — she clocked it because his sleeves were rolled to the elbow despite the underground chill."
9"\"Somewhere that doesn't appear in any case file you're building.\" He picked up a small canvas bag from the floor beside him — medical supplies, she noted, the shape of it familiar."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount664
adjectiveStacks0
stackExamples(empty)
adverbCount24
adverbRatio0.03614457831325301
lyAdverbCount11
lyAdverbRatio0.016566265060240965
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences69
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences69
mean15.12
std11.26
cv0.745
sampleLengths
08
119
248
33
48
520
612
732
83
92
103
1115
122
1327
1420
157
1639
1714
1813
194
2046
218
227
2318
2413
2510
2620
2711
2818
296
3018
312
3240
3324
341
3542
3614
3719
3818
3924
408
416
4216
4334
4410
456
4611
473
4821
498
70.05% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.463768115942029
totalSentences69
uniqueOpeners32
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences59
matches(empty)
ratio0
30.17% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount28
totalSentences59
matches
0"She'd clocked him outside the"
1"She'd been watching the Nest"
2"He was fast for someone"
3"He glanced back."
4"He broke into a full"
5"He cut left into a"
6"He was heading north."
7"She pulled out her phone"
8"She stopped at the top"
9"He'd gone in radioing that"
10"He'd come out two days"
11"He had been thirty-four years"
12"He had taken his coffee"
13"She scanned for the waxed"
14"She stepped down from the"
15"Her ears adjusted with the"
16"She looked down."
17"Her right hand had gone"
18"She hadn't consciously decided to"
19"He wasn't gripping hard."
ratio0.475
19.32% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount52
totalSentences59
matches
0"The rain had turned Soho"
1"Every streetlamp doubled itself in"
2"She'd clocked him outside the"
3"That was enough."
4"She'd been watching the Nest"
5"Anything that moved in or"
6"He was fast for someone"
7"Quinn gained ground on Charing"
8"He glanced back."
9"He broke into a full"
10"Quinn followed without breaking stride,"
11"The driver shouted something she"
12"He cut left into a"
13"The green neon of the"
14"Rain came in sideways now,"
15"He was heading north."
16"She pulled out her phone"
17"She stopped at the top"
18"Steam rose from a grille"
19"The passage smelled of damp"
ratio0.881
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences59
matches(empty)
ratio0
0.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences33
technicalSentenceCount7
matches
0"She'd clocked him outside the Raven's Nest twenty minutes ago — a thin man in a waxed jacket who'd been watching the entrance for the better part of an hour bef…"
1"Quinn gained ground on Charing Cross Road, dodging a group of tourists huddled under a single inadequate umbrella, her boots hitting the pavement in the rhythm …"
2"She pulled out her phone without slowing, tried to pin the route, but he ducked into a stairwell she nearly missed entirely — worn stone steps descending below …"
3"Three years ago, Morris had followed a lead into a building in Bermondsey that shouldn't have contained what it contained."
4"But the platforms on either side of the dry tracks had been transformed into something that bore no relationship to Transport for London's remit."
5"She stepped down from the stairwell access onto the platform and felt the change immediately — a shift in air pressure, a faint resistance, as if the atmosphere…"
6"His hold was the kind that communicated information rather than force."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags5
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
77.9174%