Run: 2026-07-01-01KWE9D4M2NNSQ6RP83AJXW4CJ

Run Details

Duration:
34.3s
Cost:
$0.022998
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 the green neon sign into a smear of emerald against the wet black street. Quinn kept to the shadows across the road, watching the door, watching the man who'd slipped out of it thirty seconds ago and hadn't looked back once. She'd clocked him the moment he left—the way he moved like he expected to be followed, shoulders hunched, collar up, cutting across Dean Street instead of taking the straight line to the tube. Amateur mistake. People who wanted to disappear should never look like they were trying to disappear. Quinn had run his face through half a dozen mental files before she'd even crossed the road. No name yet. But she'd seen him twice before, both times near Silas' bar, both times gone before she could get close enough to ask a single question. Tonight, she wasn't losing him. "Come on, then," she muttered, and started walking. The rain made everything difficult—footing, visibility, the sound of her own boots slapping wet stone. She used it anyway, let it cover her, matched her pace to the rhythm of the storm. He turned onto Old Compton Street and she followed, thirty yards back, hood up, hands in her coat pockets where her fingers found the shape of her phone, her cuffs, the small reassurance of routine. He picked up his pace. Not running yet, but close to it. Quinn's pulse ticked up to match him. "Oi," she called, no real hope he'd stop. "Police. I want a word." He bolted. She swore and broke into a run, feet skidding on the slick pavement, water soaking through her trousers to the knee within three strides. He was fast, younger than her by a good fifteen years, but he didn't know the streets the way she did after eighteen years walking them. He cut down an alley off Wardour Street that Quinn knew dead-ended into a fire escape and a locked gate. Except when she came round the corner after him, the alley was empty. She stopped, chest heaving, rain streaming down her collar. The gate at the end stood exactly where it always had, padlocked, rusted, undisturbed. No fire escape ladder pulled down. No sign of him at all. "Bollocks." Then she saw it—a service hatch set into the cobbles near the wall, the kind used decades ago for coal deliveries, half-hidden under a dead patch of ivy. The metal lid sat askew, rain sheeting into the gap beneath it. Quinn crouched, put her palm against the cold iron, and looked down into darkness that smelled of damp stone and something underneath that, something sweetish and wrong, like old copper coins left in a fist too long. Every instinct she'd built over eighteen years told her to call it in. Wait for backup, wait for light, wait for someone who could tell her what the hell was under Soho that wasn't on any council map she'd ever pulled. She thought of Morris. The tunnel three years ago, the one that hadn't been on any map either. The blood on the walls that wasn't human blood, according to the lab, except the lab couldn't tell her what it was instead. She thought of Morris' face the last time she saw it, and the sound he made that she still heard some nights. "Don't," she said out loud, to herself, to the rain. "Don't be stupid." She called it in anyway, because eighteen years of training didn't disappear just because her chest was tight and her hands weren't quite steady. Static answered before a voice did. "Control, this is DI Quinn, requesting—" The signal died. Not faded—died, mid-syllable, the little bars on her phone screen blinking to nothing like something had reached out and pinched them off. Quinn stared at the phone. Looked back down into the hatch. "Right," she said. "Right, then." She went down. The ladder was old iron, slick with condensation, and it dropped her into a narrow brick passage that smelled of the underground the way the Tube did—dust and electricity and old stone—except colder, and threaded through with something that made the hair on her arms stand up. Sound behaved strangely down here, her own footsteps arriving a half-second late, as though the tunnel was still deciding whether to let her hear them. Light pooled ahead, amber and unsteady, and voices drifted with it—dozens of them, low, overlapping, punctuated by something that might have been a bell or might have been laughter pitched too high to be entirely human. Quinn's hand went to her hip out of habit, though she carried no weapon that would help her here—not that she knew that yet. She only knew that every year on the force had trained her to walk toward trouble, not away from it, and that habit carried her forward now past the shape of her own doubt. The passage opened into what had once, clearly, been a Tube platform. Old tile work, cracked and stained, curved along the walls, tube-line roundels ghosted beneath layers of soot and paint. But the platform itself had become something else entirely: stalls built from scavenged doors and shopfronts, lanterns strung on wire overhead, a crowd moving between them that Quinn's eyes kept sliding off of, unable to fully settle on faces that seemed to have too many angles, too many teeth, too much stillness in the eyes. Her suspect stood forty feet away at a stall selling small dark bottles, exchanging something with the vendor—a coin, pale and irregular, that caught the lantern light like it was carved from bone rather than cut from it. He looked up. He saw her. For one long moment neither of them moved, rain still dripping from Quinn's coat onto tile that hadn't seen weather in sixty years, the whole market seeming to draw one collective breath around the fact of her, an outsider, a badge nobody down here had asked to see. Then he turned and walked, unhurried now, deeper into the market, confident she wouldn't follow. Quinn's jaw tightened. "Try me," she said, low, and started walking after him, past stalls that sold things she didn't have names for yet, deeper into the dark beneath Camden, further from any signal that could call for help.
created_at"2026-07-01T07:30:57.805Z" 7/1/2026, 7:30:57 AM
model"anthropic/claude-sonnet-5-20260630"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2416
moderation_latency(null)
generation_time34276
tokens_prompt1140
tokens_completion1562
native_tokens_prompt1574
native_tokens_completion1985
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"
usage0.022998
router(null)
provider_responses
0
endpoint_id"37b16f45-eeae-45f3-9b85-2137f7c6d61b"
id"msg_014jyaqJe5uQdyYQG321kBft"
is_byokfalse
latency2416
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-1782891057-G3z9TgeX0EORTzV3GgJu"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1782891057-1zOLNODFBaQOsWXbP6b0"
upstream_id"msg_014jyaqJe5uQdyYQG321kBft"
total_cost0.022998
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
totalTags7
adverbTagCount0
adverbTags(empty)
dialogueSentences10
tagDensity0.7
leniency1
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1058
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)
85.82% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1058
totalAiIsms3
found
0
word"pulse"
count1
1
word"streaming"
count1
2
word"footsteps"
count1
highlights
0"pulse"
1"streaming"
2"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
narrationSentences59
matches(empty)
94.43% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences59
filterMatches
0"hear"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences64
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen55
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1049
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions12
unquotedAttributions0
matches(empty)
99.44% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions26
wordCount989
uniqueNames13
maxNameDensity1.01
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Raven1
Nest1
Dean1
Street3
Tonight1
Old2
Compton1
Wardour1
Quinn10
Soho1
Morris1
Tube2
Camden1
persons
0"Nest"
1"Quinn"
2"Morris"
places
0"Raven"
1"Dean"
2"Street"
3"Tonight"
4"Old"
5"Compton"
6"Wardour"
7"Soho"
globalScore0.994
windowScore1
93.18% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences44
glossingSentenceCount1
matches
0"faces that seemed to have too many angles, too many teeth, too much stillness in the eyes"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.953
wordCount1049
matches
0"Not running yet, but close to it"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences64
matches
0"knew that every"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs35
mean29.97
std23.77
cv0.793
sampleLengths
050
149
245
35
48
567
612
77
813
92
1070
1113
1235
131
1440
1537
1641
1763
1813
1930
206
2125
2211
235
243
2572
2636
2758
2886
2938
306
3148
3215
333
3436
99.32% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences59
matches
0"was carved"
87.01% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs177
matches
0"were trying"
1"wasn't losing"
2"was still deciding"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount9
semicolonCount0
flaggedSentences8
totalSentences64
ratio0.125
matches
0"She'd clocked him the moment he left—the way he moved like he expected to be followed, shoulders hunched, collar up, cutting across Dean Street instead of taking the straight line to the tube."
1"The rain made everything difficult—footing, visibility, the sound of her own boots slapping wet stone."
2"Then she saw it—a service hatch set into the cobbles near the wall, the kind used decades ago for coal deliveries, half-hidden under a dead patch of ivy."
3"Not faded—died, mid-syllable, the little bars on her phone screen blinking to nothing like something had reached out and pinched them off."
4"The ladder was old iron, slick with condensation, and it dropped her into a narrow brick passage that smelled of the underground the way the Tube did—dust and electricity and old stone—except colder, and threaded through with something that made the hair on her arms stand up."
5"Light pooled ahead, amber and unsteady, and voices drifted with it—dozens of them, low, overlapping, punctuated by something that might have been a bell or might have been laughter pitched too high to be entirely human."
6"Quinn's hand went to her hip out of habit, though she carried no weapon that would help her here—not that she knew that yet."
7"Her suspect stood forty feet away at a stall selling small dark bottles, exchanging something with the vendor—a coin, pale and irregular, that caught the lantern light like it was carved from bone rather than cut from it."
96.96% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount138
adjectiveStacks0
stackExamples(empty)
adverbCount6
adverbRatio0.043478260869565216
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences64
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences64
mean16.39
std13.1
cv0.799
sampleLengths
023
127
233
32
414
517
63
725
85
98
1015
1117
1235
135
147
157
168
175
182
1924
2026
2120
2213
239
2414
256
266
271
2828
2912
3037
3113
3228
334
3414
3523
3622
3710
383
3924
406
416
423
4322
445
456
463
472
483
4947
67.19% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.46875
totalSentences64
uniqueOpeners30
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences56
matches
0"Then she saw it—a service"
1"Then he turned and walked,"
ratio0.036
77.14% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount20
totalSentences56
matches
0"She'd clocked him the moment"
1"she muttered, and started walking"
2"She used it anyway, let"
3"He turned onto Old Compton"
4"He picked up his pace."
5"she called, no real hope"
6"She swore and broke into"
7"He was fast, younger than"
8"He cut down an alley"
9"She stopped, chest heaving, rain"
10"She thought of Morris."
11"She thought of"
12"she said out loud, to"
13"She called it in anyway,"
14"She went down."
15"She only knew that every"
16"Her suspect stood forty feet"
17"He looked up."
18"He saw her."
19"she said, low, and started"
ratio0.357
93.93% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount41
totalSentences56
matches
0"Quinn kept to the shadows"
1"She'd clocked him the moment"
2"People who wanted to disappear"
3"Quinn had run his face"
4"Tonight, she wasn't losing him."
5"she muttered, and started walking"
6"The rain made everything difficult—footing,"
7"She used it anyway, let"
8"He turned onto Old Compton"
9"He picked up his pace."
10"Quinn's pulse ticked up to"
11"she called, no real hope"
12"She swore and broke into"
13"He was fast, younger than"
14"He cut down an alley"
15"She stopped, chest heaving, rain"
16"The gate at the end"
17"The metal lid sat askew,"
18"Quinn crouched, put her palm"
19"Every instinct she'd built over"
ratio0.732
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences56
matches(empty)
ratio0
34.63% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences33
technicalSentenceCount5
matches
0"Quinn crouched, put her palm against the cold iron, and looked down into darkness that smelled of damp stone and something underneath that, something sweetish a…"
1"The ladder was old iron, slick with condensation, and it dropped her into a narrow brick passage that smelled of the underground the way the Tube did—dust and e…"
2"Sound behaved strangely down here, her own footsteps arriving a half-second late, as though the tunnel was still deciding whether to let her hear them."
3"Light pooled ahead, amber and unsteady, and voices drifted with it—dozens of them, low, overlapping, punctuated by something that might have been a bell or migh…"
4"But the platform itself had become something else entirely: stalls built from scavenged doors and shopfronts, lanterns strung on wire overhead, a crowd moving b…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags7
uselessAdditionCount0
matches(empty)
50.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount1
fancyTags
0"she muttered (mutter)"
dialogueSentences10
tagDensity0.5
leniency1
rawRatio0.2
effectiveRatio0.2
85.9683%