Run: 2026-07-01-01KWEA2JDHXX9XCT5440ZTYGZ8

Run Details

Duration:
31.2s
Cost:
$0.021738
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 a slick mirror of green neon. Quinn kept thirty feet between herself and Herrera, close enough to see the medallion glint at his throat every time he passed under a streetlamp, far enough that he hadn't clocked her yet. He moved fast for a man carrying a duffel bag full of God-knew-what. Eighteen years on the force had taught her the difference between someone late for a train and someone running from something. Herrera ran like the second kind. "Herrera. Metropolitan Police. Stop where you are." He didn't stop. He cut left down an alley thick with steam from a restaurant vent, and Quinn's boots hit the wet brick a half-second behind him. Her radio crackled at her hip—dispatch asking for her location—but she didn't answer. Backup meant paperwork, meant explaining why a decorated detective was chasing a former paramedic through Soho at midnight over what looked like nothing. Morris used to tell her that curiosity would get her killed one day. Three years since he'd said it. Three years since something had killed him instead, something she still couldn't put a name to. Herrera vaulted a low fence, dropped his bag over first, then went after it like it mattered more than his own legs. Quinn followed, palms scraping brick, and landed in a service yard that smelled of bins and old fryer oil. "You're making this worse for yourself." "You have no idea," Herrera called back, not even turning, "how much worse this could get." He disappeared down a stairwell she hadn't noticed, one of those ignored entrances to the old Underground network, chained shut with a padlock that should have stopped him and didn't. The chain lay in the gutter, cut clean, like someone had known he'd need this exit before he did. Quinn stood at the top of the steps, rain sluicing off her collar, and made herself breathe. Above ground, London made sense. Below ground, in her experience, it stopped making sense fast. She'd read the reports. Officers who'd gone into old Tube tunnels chasing suspects and come out three hours later swearing only twenty minutes had passed. Stations that weren't on any map humming with light and noise that vanished the second uniforms arrived. She drew her torch instead of her weapon and went down. The stairwell dumped her into a service corridor slick with condensation, pipes running along the ceiling like exposed ribs. Herrera's footsteps echoed ahead, unhurried now, like he knew she'd follow and wasn't afraid of it. That bothered her more than the running had. "Herrera. Slow down." "Detective, I really wouldn't—" his voice bounced strangely off the tiles, "—I really wouldn't finish that sentence if I were you." The corridor opened onto a platform that had no business being lit. Where Quinn expected darkness and rat-scrabble she found strings of bulbs, hundreds of them, strung between makeshift stalls built from old carriage doors and shop fittings scavenged from a hundred different decades. The smell hit her first—copper and incense and something like ozone before a storm. Then the sound, low murmuring in a dozen languages, the clink of coin that didn't look like any coin she recognised. A woman with silver eyes and no pupils looked up from a stall of bottled smoke and watched Quinn the way you'd watch a fox that had wandered into your kitchen. Herrera stood twenty feet away, at the edge of the crowd, watching her with something that wasn't quite triumph. Waiting to see what she'd do. Quinn's hand drifted to her badge, an old reflex, useless down here and she knew it. Every instinct that had kept her alive eighteen years told her to radio it in, call for backup, treat this like any other unlicensed market raid. But there was no backup for this. No procedure. Morris's face surfaced in her mind, the last thing she remembered clearly before the blank three hours that ended with him gone and her standing alone in a tunnel not unlike this one, blood on her hands that wasn't hers. "What is this place?" "Somewhere you shouldn't be." Herrera's voice had lost its edge, gone almost gentle. "Go home, Detective. Whatever you think you're chasing, it's bigger than a caution and a caution's not what you'll get down here." "Is this what happened to Morris?" Something flickered across his face—recognition, maybe pity—gone before she could read it properly. "I don't know who that is." He was lying. She'd built a career on knowing when people lied, on the half-second hitch before a false word, and Herrera had it now, plain as the scar on his forearm. A bell somewhere in the market rang, three notes, and the murmur of the crowd shifted, wary, stalls beginning to shutter with a speed that felt rehearsed. The silver-eyed woman was gone. Herrera glanced past Quinn's shoulder toward the tunnel mouth she'd come through, then back at her, and for the first time looked genuinely frightened. "You need to leave. Now. Whoever you called, whoever's coming—" "I didn't call anyone." "Then something else knows you're here." The lights along the platform dimmed in a wave, bulb by bulb, starting from the far end and rolling toward them like a tide going out. Quinn's torch beam felt suddenly thin and useless against it. Every rational year of service told her to run back up those stairs, back into the rain, back to a city that made sense. She thought of Morris. Of three years without an answer. She thumbed off the torch instead, and let the dark come.
created_at"2026-07-01T07:42:40.061Z" 7/1/2026, 7:42:40 AM
model"anthropic/claude-sonnet-5-20260630"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3062
moderation_latency(null)
generation_time31125
tokens_prompt1140
tokens_completion1431
native_tokens_prompt1574
native_tokens_completion1859
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"
usage0.021738
router(null)
provider_responses
0
endpoint_id"37b16f45-eeae-45f3-9b85-2137f7c6d61b"
id"msg_01CG4WLWSvLgtGHMAfBkF4YK"
is_byokfalse
latency3050
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-1782891760-BcR64VCl5gYbxFClrfCV"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1782891760-6KPGGw3hW1LOLUC1PoY1"
upstream_id"msg_01CG4WLWSvLgtGHMAfBkF4YK"
total_cost0.021738
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
46.15% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags3
adverbTagCount1
adverbTags
0"his voice bounced strangely [strangely]"
dialogueSentences13
tagDensity0.231
leniency0.462
rawRatio0.333
effectiveRatio0.154
84.13% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount945
totalAiIsmAdverbs3
found
0
adverb"really"
count2
1
adverb"suddenly"
count1
highlights
0"really"
1"suddenly"
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)
73.54% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount945
totalAiIsms5
found
0
word"glint"
count1
1
word"footsteps"
count1
2
word"echoed"
count1
3
word"the last thing"
count1
4
word"flickered"
count1
highlights
0"glint"
1"footsteps"
2"echoed"
3"the last thing"
4"flickered"
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
narrationSentences53
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences53
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences63
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen40
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords939
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions6
unquotedAttributions0
matches(empty)
96.81% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions29
wordCount846
uniqueNames10
maxNameDensity1.06
worstName"Herrera"
maxWindowNameDensity1.5
worstWindowName"Herrera"
discoveredNames
Raven1
Nest1
Soho2
Herrera9
God-knew-what1
Quinn9
Underground1
London1
Tube1
Morris3
persons
0"Nest"
1"Herrera"
2"Quinn"
3"Tube"
4"Morris"
places
0"Raven"
1"Soho"
2"London"
globalScore0.968
windowScore1
0.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences46
glossingSentenceCount3
matches
0"looked like nothing"
1"something like ozone before a storm"
2"quite triumph"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount939
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences63
matches
0"finish that sentence"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs30
mean31.3
std27.36
cv0.874
sampleLengths
051
140
27
398
441
56
616
749
874
911
1043
113
1221
1379
1431
1525
1691
174
1835
196
2013
216
2232
2356
2410
254
266
2760
2810
2911
92.02% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences53
matches
0"being lit"
1"was gone"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs147
matches
0"was chasing"
1"was lying"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount6
semicolonCount0
flaggedSentences4
totalSentences63
ratio0.063
matches
0"Her radio crackled at her hip—dispatch asking for her location—but she didn't answer."
1"\"Detective, I really wouldn't—\" his voice bounced strangely off the tiles, \"—I really wouldn't finish that sentence if I were you.\""
2"The smell hit her first—copper and incense and something like ozone before a storm."
3"Something flickered across his face—recognition, maybe pity—gone before she could read it properly."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount481
adjectiveStacks0
stackExamples(empty)
adverbCount14
adverbRatio0.029106029106029108
lyAdverbCount3
lyAdverbRatio0.006237006237006237
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences63
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences63
mean14.9
std9.07
cv0.608
sampleLengths
018
133
213
321
46
57
63
724
813
923
1013
116
1216
1322
1419
156
1616
1730
1819
1917
205
2110
224
2321
2417
2511
2619
2716
288
293
3021
3112
3232
3314
3421
3531
3619
376
3816
3926
407
412
4240
434
4413
4522
466
4713
486
493
78.31% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.5079365079365079
totalSentences63
uniqueOpeners32
64.10% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences52
matches
0"Then the sound, low murmuring"
ratio0.019
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount12
totalSentences52
matches
0"He moved fast for a"
1"He didn't stop."
2"He cut left down an"
3"Her radio crackled at her"
4"He disappeared down a stairwell"
5"She'd read the reports."
6"She drew her torch instead"
7"his voice bounced strangely off"
8"He was lying."
9"She'd built a career on"
10"She thought of Morris."
11"She thumbed off the torch"
ratio0.231
65.77% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount41
totalSentences52
matches
0"Quinn kept thirty feet between"
1"He moved fast for a"
2"Herrera ran like the second"
3"He didn't stop."
4"He cut left down an"
5"Her radio crackled at her"
6"Backup meant paperwork, meant explaining"
7"Morris used to tell her"
8"Herrera vaulted a low fence,"
9"Quinn followed, palms scraping brick,"
10"Herrera called back, not even"
11"He disappeared down a stairwell"
12"The chain lay in the"
13"Quinn stood at the top"
14"She'd read the reports."
15"Officers who'd gone into old"
16"Stations that weren't on any"
17"She drew her torch instead"
18"The stairwell dumped her into"
19"Herrera's footsteps echoed ahead, unhurried"
ratio0.788
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences52
matches(empty)
ratio0
27.03% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences37
technicalSentenceCount6
matches
0"Quinn followed, palms scraping brick, and landed in a service yard that smelled of bins and old fryer oil."
1"He disappeared down a stairwell she hadn't noticed, one of those ignored entrances to the old Underground network, chained shut with a padlock that should have …"
2"Then the sound, low murmuring in a dozen languages, the clink of coin that didn't look like any coin she recognised."
3"Every instinct that had kept her alive eighteen years told her to radio it in, call for backup, treat this like any other unlicensed market raid."
4"Morris's face surfaced in her mind, the last thing she remembered clearly before the blank three hours that ended with him gone and her standing alone in a tunn…"
5"A bell somewhere in the market rang, three notes, and the murmur of the crowd shifted, wary, stalls beginning to shutter with a speed that felt rehearsed."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags3
uselessAdditionCount1
matches
0"Herrera called back, not even turning,"
73.08% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount1
fancyTags
0"Herrera called back (call back)"
dialogueSentences13
tagDensity0.077
leniency0.154
rawRatio1
effectiveRatio0.154
76.6980%