Run: 2026-07-01-01KWEA4KEQYNH1QM2WBEDYTFAV

Run Details

Duration:
39.9s
Cost:
$0.027948
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 hammered the pavement outside the Raven's Nest, turning Soho's cobblestones into black mirrors that fractured the green neon into a hundred bleeding fragments. Quinn had been watching the bar for forty minutes when Herrera finally came through the door, collar up, moving fast for a man who wasn't supposed to be running from anything. She fell into step half a block behind him, hands in her coat pockets, rain needling the back of her neck. Eighteen years on the force taught her how to read a walk. Herrera's had gone wrong the moment he glanced back over his shoulder — not once, but twice in the space of ten seconds, the tell of a man who knew he was being followed and hadn't decided yet whether to bolt. He bolted. Quinn broke into a run before her brain caught up with her legs, boots slapping through puddles, breath fogging in the cold. Herrera cut left down an alley between a shuttered kebab shop and a launderette, and she followed, skidding on wet brick, catching herself against a dumpster that reeked of old grease. "Herrera! Stop!" He didn't. He never did, these ones — the clique's people. Three years of chasing shadows that dissolved the moment she got close enough to touch them, and every one of them ran like they had somewhere better to be than a police interview room. The alley spat them out onto Wardour Street, where the rain had chased everyone else indoors. Herrera's dark curls were plastered flat, his medallion swinging loose outside his collar as he sprinted past a shuttered theatre. Quinn's watch had crept up her wrist, and she shoved it back down without slowing, lungs burning now, the sharp copper taste of exertion filling her mouth. He was heading south. Toward Camden, if he kept that line, though nobody in their right mind ran to Camden this time of night in this weather unless they had a reason. Quinn didn't know the reason. That was the problem with everything about this case — the not knowing, the way the ground kept shifting under her the way it had shifted three years ago, when Morris walked into a warehouse in Deptford and came out wrong, came out screaming about things with too many teeth, and then didn't come out at all. She shoved the memory down where it belonged and kept running. Herrera ducked into the mouth of an underpass, and for a second she lost him in the dark, just the echo of his footsteps bouncing off wet concrete. She slowed, hand drifting toward the baton at her hip, every instinct she'd built over eighteen years telling her that this was the moment things went sideways. "Give it up," she called into the dark. "There's nowhere to go." A laugh answered her, short and humourless, from somewhere ahead. "You'd be surprised, Detective." She followed the voice through the underpass and out the other side, into an old service road that ran along a fenced-off stretch of derelict railway. Herrera was thirty feet ahead, vaulting a low barrier with the easy economy of a man who'd done it before. Quinn went over after him, tearing her palm on rusted wire, cursing under her breath. Beyond the barrier, a set of concrete stairs led down into darkness — an abandoned Tube entrance, the kind the city had a dozen of, sealed and forgotten decades ago except this one wasn't sealed. The gate hung open on one hinge, and Herrera was already halfway down the steps, his shape swallowed by the black. Quinn stopped at the top. Rain sheeted off the broken awning above the stairwell, and somewhere below she could hear something that wasn't quite music and wasn't quite voices, a low murmur that seemed to come from the walls themselves. Every rule she'd ever followed told her to call it in, wait for backup, not go into an unmapped hole in the ground after a suspect with no idea what waited at the bottom. She thought of Morris. The warehouse. The way his hand had felt when they pulled what was left of him out — cold in a way that had nothing to do with temperature. "Damn it," she muttered, and went down the stairs anyway. The darkness thickened as she descended, the city noise fading behind her until all she had was the drip of water and her own breathing. Then, ahead, a warm orange light bled around a corner, and the murmur resolved into something like a market — voices haggling, the clink of coin or something that sounded like coin but rang wrong, too high, too clear. She rounded the corner and stopped dead. The old platform stretched away into shadow, lit by strings of lanterns that burned without any visible flame, their light the colour of old whisky. Stalls had been built from scavenged Tube signage and shipping crates, and behind them stood figures that made her hand go, without thinking, back to her baton. A woman with skin like poured wax sold jars of something that moved on its own. A man — if he was a man — stood seven feet tall with a face that kept almost resolving into a face and then didn't. The air smelled of tallow candles and copper and something sweetly rotten underneath it all. Herrera was thirty yards ahead, moving fast through the crowd, and nobody so much as glanced at him. They all glanced at her. A figure near the nearest stall — squat, hooded, its hands too many-fingered — turned its head toward Quinn with unhurried interest, the way a spider might regard something caught at the edge of its web. "Copper," it said, and the word carried down the platform like a struck bell, rippling through the crowd. Heads turned. The murmur died. Quinn's hand found the doorframe behind her, the last piece of ordinary London within reach. Herrera had stopped too, twenty yards off now, watching her with something that wasn't quite triumph and wasn't quite pity. "You don't have a token, Detective," he called back, breathing hard, rain-soaked and unbothered by the world he'd just walked into like it was his front room. "You shouldn't even be able to see this place." "Try me," Quinn said, though her voice came out thinner than she wanted. The hooded thing near the stall took a slow step toward her, and behind it, others began to turn, drawn by the smell of something new. Every rule of policing she'd built her career on screamed at her to retreat back up those stairs, radio it in, treat this like the anomaly it was. She thought of Morris again. Of eighteen years of cases that never quite closed, of files marked *unexplained* that she'd kept in a drawer at home instead of the archive, because some part of her had always known this moment was coming — the moment the ground finally gave way and showed her what was underneath. Quinn let go of the doorframe and stepped onto the platform.
created_at"2026-07-01T07:43:46.655Z" 7/1/2026, 7:43:46 AM
model"anthropic/claude-sonnet-5-20260630"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency5341
moderation_latency(null)
generation_time39894
tokens_prompt1140
tokens_completion1797
native_tokens_prompt1574
native_tokens_completion2480
native_tokens_completion_images(null)
native_tokens_reasoning82
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"
usage0.027948
router(null)
provider_responses
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endpoint_id"37b16f45-eeae-45f3-9b85-2137f7c6d61b"
id"msg_01STYELyujZijS75yhnkXF5s"
is_byokfalse
latency2584
model_permaslug"anthropic/claude-sonnet-5-20260630"
provider_name"Amazon Bedrock"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.17.0; linux; x64))"
http_referer(null)
request_id"req-1782891826-VXwdN1XPNM7baSTQycII"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1782891826-YDKhxAS2KgvFy3hwpETt"
upstream_id"msg_01STYELyujZijS75yhnkXF5s"
total_cost0.027948
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
totalTags5
adverbTagCount0
adverbTags(empty)
dialogueSentences9
tagDensity0.556
leniency1
rawRatio0
effectiveRatio0
95.73% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1170
totalAiIsmAdverbs1
found
0
adverb"sweetly"
count1
highlights
0"sweetly"
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)
78.63% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1170
totalAiIsms5
found
0
word"fractured"
count1
1
word"echo"
count1
2
word"footsteps"
count1
3
word"resolved"
count1
4
word"resolving"
count1
highlights
0"fractured"
1"echo"
2"footsteps"
3"resolved"
4"resolving"
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
narrationSentences58
matches(empty)
68.97% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount2
narrationSentences58
filterMatches
0"watch"
hedgeMatches
0"seemed to"
1"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences62
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen56
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords1
totalWords1181
ratio0.001
matches
0"unexplained"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions9
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions34
wordCount1148
uniqueNames13
maxNameDensity0.87
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Herrera"
discoveredNames
Raven1
Nest1
Soho1
Herrera9
Wardour1
Street1
Camden2
Morris3
Deptford1
Tube2
Quinn10
Heads1
London1
persons
0"Nest"
1"Herrera"
2"Morris"
3"Quinn"
4"Heads"
places
0"Raven"
1"Soho"
2"Wardour"
3"Street"
4"Camden"
5"Deptford"
6"London"
globalScore1
windowScore1
0.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences46
glossingSentenceCount3
matches
0"murmur that seemed to come from the walls themselves"
1"quite music and wasn't quite voices, a low murmur that seemed to come from the walls themselves"
2"something like a market — voices haggling, t"
3"sounded like coin but rang wrong, too high"
4"quite triumph and wasn't quite pity"
5"quite pity"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.847
wordCount1181
matches
0"not once, but twice in the space of ten seconds, the tell of a man who kne"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences62
matches
0"kept that line"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs30
mean39.37
std27.82
cv0.707
sampleLengths
055
174
22
353
42
545
663
794
811
955
1012
1114
1261
1356
145
1569
1633
1710
1864
197
20109
2123
2236
2323
2435
2536
2613
2754
2856
2911
87.11% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences58
matches
0"being followed"
1"were plastered"
2"been built"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs195
matches
0"was heading"
1"was coming "
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount11
semicolonCount0
flaggedSentences9
totalSentences62
ratio0.145
matches
0"Herrera's had gone wrong the moment he glanced back over his shoulder — not once, but twice in the space of ten seconds, the tell of a man who knew he was being followed and hadn't decided yet whether to bolt."
1"He never did, these ones — the clique's people."
2"That was the problem with everything about this case — the not knowing, the way the ground kept shifting under her the way it had shifted three years ago, when Morris walked into a warehouse in Deptford and came out wrong, came out screaming about things with too many teeth, and then didn't come out at all."
3"Beyond the barrier, a set of concrete stairs led down into darkness — an abandoned Tube entrance, the kind the city had a dozen of, sealed and forgotten decades ago except this one wasn't sealed."
4"The way his hand had felt when they pulled what was left of him out — cold in a way that had nothing to do with temperature."
5"Then, ahead, a warm orange light bled around a corner, and the murmur resolved into something like a market — voices haggling, the clink of coin or something that sounded like coin but rang wrong, too high, too clear."
6"A man — if he was a man — stood seven feet tall with a face that kept almost resolving into a face and then didn't."
7"A figure near the nearest stall — squat, hooded, its hands too many-fingered — turned its head toward Quinn with unhurried interest, the way a spider might regard something caught at the edge of its web."
8"Of eighteen years of cases that never quite closed, of files marked *unexplained* that she'd kept in a drawer at home instead of the archive, because some part of her had always known this moment was coming — the moment the ground finally gave way and showed her what was underneath."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1140
adjectiveStacks0
stackExamples(empty)
adverbCount39
adverbRatio0.034210526315789476
lyAdverbCount4
lyAdverbRatio0.0035087719298245615
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences62
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences62
mean19.05
std12.71
cv0.667
sampleLengths
024
131
221
312
441
52
622
731
82
92
109
1134
1216
1320
1427
154
1628
175
1857
1911
2028
2127
228
234
2410
254
2626
2720
2815
2935
3021
315
3235
3334
344
352
3627
3710
3825
3939
407
4125
4227
4316
4426
4515
4618
475
4836
4918
56.45% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.3870967741935484
totalSentences62
uniqueOpeners24
61.73% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences54
matches
0"Then, ahead, a warm orange"
ratio0.019
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount14
totalSentences54
matches
0"She fell into step half"
1"He never did, these ones"
2"He was heading south."
3"She shoved the memory down"
4"She slowed, hand drifting toward"
5"she called into the dark"
6"She followed the voice through"
7"She thought of Morris."
8"she muttered, and went down"
9"She rounded the corner and"
10"They all glanced at her."
11"it said, and the word"
12"he called back, breathing hard,"
13"She thought of Morris again."
ratio0.259
24.81% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount47
totalSentences54
matches
0"Quinn had been watching the"
1"She fell into step half"
2"Herrera's had gone wrong the"
3"Quinn broke into a run"
4"Herrera cut left down an"
5"He never did, these ones"
6"The alley spat them out"
7"Herrera's dark curls were plastered"
8"Quinn's watch had crept up"
9"He was heading south."
10"Quinn didn't know the reason."
11"That was the problem with"
12"She shoved the memory down"
13"Herrera ducked into the mouth"
14"She slowed, hand drifting toward"
15"she called into the dark"
16"A laugh answered her, short"
17"She followed the voice through"
18"Herrera was thirty feet ahead,"
19"Quinn went over after him,"
ratio0.87
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences54
matches(empty)
ratio0
17.86% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences40
technicalSentenceCount7
matches
0"Rain hammered the pavement outside the Raven's Nest, turning Soho's cobblestones into black mirrors that fractured the green neon into a hundred bleeding fragme…"
1"Herrera cut left down an alley between a shuttered kebab shop and a launderette, and she followed, skidding on wet brick, catching herself against a dumpster th…"
2"Three years of chasing shadows that dissolved the moment she got close enough to touch them, and every one of them ran like they had somewhere better to be than…"
3"She followed the voice through the underpass and out the other side, into an old service road that ran along a fenced-off stretch of derelict railway."
4"Herrera was thirty feet ahead, vaulting a low barrier with the easy economy of a man who'd done it before."
5"Rain sheeted off the broken awning above the stairwell, and somewhere below she could hear something that wasn't quite music and wasn't quite voices, a low murm…"
6"Stalls had been built from scavenged Tube signage and shipping crates, and behind them stood figures that made her hand go, without thinking, back to her baton."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags5
uselessAdditionCount2
matches
0"it said, and the word carried down the platform like a struck bell, rippling through the crowd"
1"Quinn said, though her voice came out thinner than she wanted"
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount2
fancyTags
0"she muttered (mutter)"
1"he called back (call back)"
dialogueSentences9
tagDensity0.556
leniency1
rawRatio0.4
effectiveRatio0.4
73.0430%