Run: 2026-07-01-01KWE8ZQTC999ZBP1J6PXH6R1C

Run Details

Duration:
33.5s
Cost:
$0.023008
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 cobblestones of Camden High Street, turning the neon reflections into smeared ribbons of red and green. Detective Harlow Quinn's boots slapped through the puddles, her breath ragged in the cold October air. Thirty yards ahead, a figure in a grey hoodie cut left down an alley, knocking over a stack of empty crates. "Police! Stop!" The words did nothing. They never did with this one. Quinn had been tailing him for six days, ever since the CCTV pulled his face from the warehouse fire in Bermondsey, the one that left three bodies too clean, too dry, like something had drained the moisture straight out of them. Tonight he'd finally slipped, meeting a contact outside a shuttered bookshop, and Quinn had been close enough to see his face before he bolted. She rounded the corner into the alley. Empty. A dead end, brick walls on three sides, rain sluicing off a rusted fire escape. No. Not empty. A grate in the ground, iron bars pried loose, black mouth yawning where the pavement should be solid. Quinn crouched at the edge, weapon drawn, torch beam cutting through drifting steam. Stairs, old ones, Victorian ironwork red with rust, descending into a dark that smelled of ozone and something sweeter underneath, like burnt sugar and old copper coins. "Bloody hell." Her radio hissed static. She thumbed it once, twice. Dead already. Eighteen years on the force had taught her plenty of things, but the sharpest lesson had come three years back, in a tunnel not unlike this one, when DS Morris walked ahead of her into the dark and never walked out. She still had his watch in her desk drawer, the strap gnawed through by something with teeth too small and too many. She should call for backup. Should wait for uniforms, for light, for anything other than her own torch and her own nerve. The hoodie's footsteps echoed below, fading fast. Quinn swore under her breath and went down. The stairs opened into a old Tube platform, tiles cracked and blackened, the ghost of a station sign still legible if she squinted: CAMDEN TOWN, the paint long since peeled to a whisper. But the platform wasn't abandoned. Strings of paper lanterns hung between iron pillars, casting amber light over stalls built from shipping pallets and salvaged doors. The air rippled with sound: haggling voices, low music from an instrument she couldn't name, a chorus of clinking coins that didn't sound like any currency she recognised. A market. Down here. Under London's feet, and she'd never once heard whisper of it in eighteen years of policing these streets. "Oi, papers." A woman blocked her path, face hidden under a scarf, eyes reflecting the lantern light like a cat's. "Bone token or you don't pass, love." "Police." Quinn held up her badge on reflex, though the word tasted useless even as she said it. The woman laughed, a short ugly bark, and turned away as though Quinn had told a joke gone stale. She pushed past. Down the platform, stalls sold things that made her stomach turn if she looked too long: jars of something that pulsed faintly with its own heartbeat, blades that seemed to drink the lantern light rather than reflect it, a cage of small black birds with too many eyes stitched into their feathers. Nobody paid her a second glance. She was the strange thing here, not the goods. She caught sight of the grey hoodie forty feet on, ducking between a spice stall and a man selling what looked like teeth on strings. "Stop!" He didn't. Of course he didn't. Quinn shoved through the crowd, drawing hisses and one shove back sharp enough to bruise. A hand caught her elbow, strong, calloused. "You shouldn't be here." She spun, weapon half-raised, and found a man with warm brown eyes and a medallion glinting at his throat, curly dark hair damp from the rain that had somehow followed them both down. "Neither should you interfere with a police pursuit." "Police pursuit." He said it like the words amused and worried him in equal measure. "This isn't your patch, Detective. You go wandering after him past the lantern line, there's no guarantee you walk back out the way you came." "Who are you?" "Someone who's seen what happens to people who don't know the rules down here." His grip tightened, not unkind, but firm. "That man you're chasing. What's he done?" "Three dead in Bermondsey. Drained dry." Something shifted behind his eyes, recognition, maybe fear. He didn't let go of her arm. "Then you really don't want to follow him where he's going." The hoodie had reached the far end of the platform, where the lantern light gave out to true dark, and a set of doors marked with chalk sigils stood ajar like an invitation. He glanced back once. Even at this distance, Quinn caught the smile on his face, the particular cruelty of someone who knew he'd already won. "He's getting away." "He's getting exactly where he wants you to follow." The stranger's voice dropped, urgent now. "Bermondsey wasn't carelessness, Detective. That fire, those bodies, that was bait. And you took it beautifully." Quinn's jaw tightened, the old stubbornness rising hot beneath her ribs, the same stubbornness that had sent her into a tunnel three years ago after a man calling for help who hadn't been a man at all by the time she found him. She looked at the doors. She looked at the man's warm, worried eyes, the medallion catching lantern light, the scar on his forearm that spoke of violence survived rather than caused. "Give me one good reason to walk away." "Because the last detective who chased something down here," he said quietly, "didn't come back missing. He came back different. And I don't think you want to explain that one to your superintendent." The hoodie vanished through the chalked doors, and darkness swallowed the last trace of him whole.
created_at"2026-07-01T07:23:38.713Z" 7/1/2026, 7:23:38 AM
model"anthropic/claude-sonnet-5-20260630"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2015
moderation_latency(null)
generation_time33418
tokens_prompt1140
tokens_completion1511
native_tokens_prompt1574
native_tokens_completion1986
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"
usage0.023008
router(null)
provider_responses
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endpoint_id"37b16f45-eeae-45f3-9b85-2137f7c6d61b"
id"msg_01JmJi2MeRdS98dr6b2YXvMc"
is_byokfalse
latency2015
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-1782890618-c0D9ERARQ1hqIHve1qrH"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1782890618-F0n0YOP4b9NGa3Vz2bak"
upstream_id"msg_01JmJi2MeRdS98dr6b2YXvMc"
total_cost0.023008
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
totalTags6
adverbTagCount1
adverbTags
0"he said quietly [quietly]"
dialogueSentences20
tagDensity0.3
leniency0.6
rawRatio0.167
effectiveRatio0.1
94.98% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount997
totalAiIsmAdverbs1
found
0
adverb"really"
count1
highlights
0"really"
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)
64.89% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount997
totalAiIsms7
found
0
word"footsteps"
count1
1
word"echoed"
count1
2
word"whisper"
count2
3
word"stomach"
count1
4
word"pulsed"
count1
5
word"glinting"
count1
highlights
0"footsteps"
1"echoed"
2"whisper"
3"stomach"
4"pulsed"
5"glinting"
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
narrationSentences57
matches(empty)
92.73% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences57
filterMatches
0"watch"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences71
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen52
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords997
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
90.19% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions20
wordCount836
uniqueNames11
maxNameDensity1.2
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Camden1
High1
Street1
Harlow1
Quinn10
October1
Bermondsey1
Victorian1
Morris1
Tube1
London1
persons
0"Harlow"
1"Quinn"
2"Morris"
places
0"Camden"
1"High"
2"Street"
3"Bermondsey"
4"London"
globalScore0.902
windowScore1
25.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences40
glossingSentenceCount2
matches
0"blades that seemed to drink the lantern light rather than reflect it, a cage of small black birds with too many eyes stitched into their feathers"
1"looked like teeth on strings"
99.70% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords1.003
wordCount997
matches
0"not unkind, but firm"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences71
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs40
mean24.93
std21.04
cv0.844
sampleLengths
056
12
210
365
423
521
640
72
811
963
1022
117
128
1386
1422
1527
1618
1719
1870
1925
201
216
2222
234
2433
258
2640
273
2828
296
3015
3111
3258
333
3431
3543
3631
378
3833
3916
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences57
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs140
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences71
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount837
adjectiveStacks0
stackExamples(empty)
adverbCount31
adverbRatio0.037037037037037035
lyAdverbCount5
lyAdverbRatio0.005973715651135006
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences71
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences71
mean14.04
std11.76
cv0.837
sampleLengths
019
116
221
32
44
56
641
724
87
91
1015
111
122
1318
1413
1527
162
174
185
192
2041
2122
225
2317
247
258
2633
275
2820
2928
302
312
3218
3320
347
3518
3619
373
3852
396
409
4125
421
432
444
4515
467
474
4833
498
92.96% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.5915492957746479
totalSentences71
uniqueOpeners42
66.67% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences50
matches
0"Of course he didn't."
ratio0.02
84.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount17
totalSentences50
matches
0"They never did with this"
1"She rounded the corner into"
2"Her radio hissed static."
3"She thumbed it once, twice."
4"She still had his watch"
5"She should call for backup."
6"She pushed past."
7"She was the strange thing"
8"She caught sight of the"
9"She spun, weapon half-raised, and"
10"He said it like the"
11"His grip tightened, not unkind,"
12"He didn't let go of"
13"He glanced back once."
14"She looked at the doors."
15"She looked at the man's"
16"he said quietly"
ratio0.34
50.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount41
totalSentences50
matches
0"Detective Harlow Quinn's boots slapped"
1"The words did nothing."
2"They never did with this"
3"Quinn had been tailing him"
4"Tonight he'd finally slipped, meeting"
5"She rounded the corner into"
6"A dead end, brick walls"
7"A grate in the ground,"
8"Quinn crouched at the edge,"
9"Stairs, old ones, Victorian ironwork"
10"Her radio hissed static."
11"She thumbed it once, twice."
12"She still had his watch"
13"She should call for backup."
14"The hoodie's footsteps echoed below,"
15"Quinn swore under her breath"
16"The stairs opened into a"
17"Strings of paper lanterns hung"
18"The air rippled with sound:"
19"A woman blocked her path,"
ratio0.82
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences50
matches
0"Even at this distance, Quinn"
ratio0.02
0.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences26
technicalSentenceCount6
matches
0"Stairs, old ones, Victorian ironwork red with rust, descending into a dark that smelled of ozone and something sweeter underneath, like burnt sugar and old copp…"
1"The air rippled with sound: haggling voices, low music from an instrument she couldn't name, a chorus of clinking coins that didn't sound like any currency she …"
2"Down the platform, stalls sold things that made her stomach turn if she looked too long: jars of something that pulsed faintly with its own heartbeat, blades th…"
3"She spun, weapon half-raised, and found a man with warm brown eyes and a medallion glinting at his throat, curly dark hair damp from the rain that had somehow f…"
4"Quinn's jaw tightened, the old stubbornness rising hot beneath her ribs, the same stubbornness that had sent her into a tunnel three years ago after a man calli…"
5"She looked at the man's warm, worried eyes, the medallion catching lantern light, the scar on his forearm that spoke of violence survived rather than caused."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags6
uselessAdditionCount2
matches
0"Quinn held up, though the word tasted useless even as she said it"
1"His grip tightened, not unkind, but firm"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount0
fancyTags(empty)
dialogueSentences20
tagDensity0.1
leniency0.2
rawRatio0
effectiveRatio0
85.3709%