Run: 2026-02-19-01KHTRPNZRY3HRBE7RZQVR1K13

Run Details

Duration:
30.9s
Cost:
$0.032430
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 pelted Detective Quinn's face as she sprinted after the hooded figure, her boots splashing through puddles that reflected the neon glow of Soho's nightlife. Her quarry darted between late-night revelers, knocking aside a couple sharing an umbrella. Quinn's legs burned, but eighteen years of chasing perps through London's labyrinthine streets had taught her to push through the pain. The suspect veered sharply into a narrow alley. Quinn followed, her hand brushing the brick wall for balance as she navigated the tight space. Her leather watch caught a flash of streetlight – nearly midnight. The timing nagged at her memory, something about tonight being significant. "Police! Stop!" Her voice cut through the drumming rain. The figure glanced back, and Quinn caught a glimpse of something that made her stomach lurch – the suspect's eyes reflected the dim light like a cat's. The same unnatural gleam she'd seen the night Morris disappeared. They burst out of the alley into Camden's busy streets. The suspect vaulted over a construction barrier and disappeared down a closed-off Tube entrance. Quinn skidded to a halt at the top of the stairs, water dripping from her salt-and-pepper hair as she studied the darkness below. Everything about this felt wrong. The station had been abandoned for years, sealed off after a partial collapse. But she'd been tracking this lead for months, trying to piece together what happened to Morris. Her jaw clenched. She'd lost him once by playing it safe. Quinn drew her torch and service weapon, descending the slick steps. The beam cut through darkness thick as tar, illuminating graffiti-covered walls and debris-strewn floors. Her footsteps echoed in the cavernous space. A flash of movement to her left. Quinn spun, weapon raised, but caught only the tail end of a coat disappearing through a maintenance door. She followed, emerging into a service tunnel that shouldn't exist according to any official Underground maps. The air changed – became heavy with incense and something else, something ancient. Music drifted up from below, a discordant melody that made her skin prickle. Quinn's torch beam revealed a steep staircase descending into darkness. "Oi! You can't be down here." Quinn whirled. A man emerged from the shadows, olive-skinned with a distinctive scar running along his left forearm. She recognized him from her surveillance photos – Tomás Herrera, the disgraced paramedic she'd been investigating. "Detective Quinn." He fingered the Saint Christopher medallion at his neck. "This isn't a place for police." "I'm following a suspect." "There are no suspects down there." His warm brown eyes held a warning. "Only things you're not ready to understand. Go back up, Detective. Some doors shouldn't be opened." Quinn's torch beam wavered between Herrera and the stairs. The strange music grew louder, accompanied by voices speaking in languages she'd never heard. Her instincts screamed danger, but Morris's face flashed through her mind – his empty desk, his family still waiting for answers. "Three years ago, my partner disappeared investigating something connected to this place. I'm not walking away." "The Veil Market doesn't welcome uninvited guests." Herrera reached into his pocket and withdrew what looked like a carved token of bone. "But if you're determined to go down there, take this. Don't let anyone see your badge, and whatever you do, don't make any deals." Quinn studied the token, its surface etched with symbols that seemed to shift in the torchlight. The rain drummed above, marking time as she stood at the threshold of a world she'd glimpsed only in her nightmares about Morris's disappearance. She took the token.
created_at"2026-02-19T10:56:32.252Z" 2/19/2026, 10:56:32 AM
model"anthropic/claude-3.5-sonnet"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1603
moderation_latency183
generation_time30715
tokens_prompt1140
tokens_completion962
native_tokens_prompt1125
native_tokens_completion856
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"
usage0.03243
router(null)
provider_responses
0
endpoint_id"d4fb79bd-9786-4932-af81-b83040e9f4e4"
id"d3931162-b97e-4131-89f5-7803d711dc18"
is_byokfalse
latency1603
model_permaslug"anthropic/claude-3.5-sonnet"
provider_name"Amazon Bedrock"
status200
api_type"completions"
id"gen-1771498592-QLu4E7RJpZMszkTVWxkN"
upstream_id"d3931162-b97e-4131-89f5-7803d711dc18"
total_cost0.03243
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
totalTags3
adverbTagCount0
adverbTags(empty)
dialogueSentences10
tagDensity0.3
leniency0.6
rawRatio0
effectiveRatio0
91.58% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount594
totalAiIsmAdverbs1
found
0
adverb"sharply"
count1
highlights
0"sharply"
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)
24.24% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount594
totalAiIsms9
found
0
word"navigated"
count1
1
word"stomach"
count1
2
word"lurch"
count1
3
word"jaw clenched"
count1
4
word"footsteps"
count1
5
word"echoed"
count1
6
word"wavered"
count1
7
word"determined"
count1
8
word"etched"
count1
highlights
0"navigated"
1"stomach"
2"lurch"
3"jaw clenched"
4"footsteps"
5"echoed"
6"wavered"
7"determined"
8"etched"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"jaw/fists clenched"
count1
highlights
0"jaw clenched"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences39
matches(empty)
32.97% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount2
narrationSentences39
filterMatches
0"watch"
hedgeMatches
0"happened to"
1"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences45
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen26
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords592
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
40.66% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions27
wordCount503
uniqueNames12
maxNameDensity2.19
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Detective1
Quinn11
Soho1
London1
Morris4
Camden1
Tube1
Underground1
Tomás1
Herrera3
Saint1
Christopher1
persons
0"Detective"
1"Quinn"
2"Morris"
3"Underground"
4"Tomás"
5"Herrera"
6"Saint"
7"Christopher"
places
0"Soho"
1"London"
2"Camden"
globalScore0.407
windowScore0.833
7.14% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences35
glossingSentenceCount2
matches
0"looked like a carved token of bone"
1"symbols that seemed to shift in the torchlight"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount592
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences45
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs19
mean31.16
std16.38
cv0.526
sampleLengths
059
146
29
337
447
545
632
741
836
96
1034
1117
124
1329
1444
1516
1646
1740
184
96.27% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences39
matches
0"been abandoned"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs90
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount0
flaggedSentences5
totalSentences45
ratio0.111
matches
0"Her leather watch caught a flash of streetlight – nearly midnight."
1"The figure glanced back, and Quinn caught a glimpse of something that made her stomach lurch – the suspect's eyes reflected the dim light like a cat's."
2"The air changed – became heavy with incense and something else, something ancient."
3"She recognized him from her surveillance photos – Tomás Herrera, the disgraced paramedic she'd been investigating."
4"Her instincts screamed danger, but Morris's face flashed through her mind – his empty desk, his family still waiting for answers."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount505
adjectiveStacks1
stackExamples
0"illuminating graffiti-covered walls"
adverbCount9
adverbRatio0.01782178217821782
lyAdverbCount5
lyAdverbRatio0.009900990099009901
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences45
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences45
mean13.16
std6.2
cv0.472
sampleLengths
025
113
221
38
416
511
611
79
827
910
1010
1114
1223
135
1413
1516
163
178
1811
1914
207
217
2218
2316
2413
2513
2610
276
282
2916
3016
3111
326
334
3413
3516
369
3714
3821
3916
4022
4124
4216
4324
444
64.44% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats1
diversityRatio0.4
totalSentences45
uniqueOpeners18
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences38
matches(empty)
ratio0
83.16% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount13
totalSentences38
matches
0"Her quarry darted between late-night"
1"Her leather watch caught a"
2"Her voice cut through the"
3"They burst out of the"
4"Her jaw clenched."
5"She'd lost him once by"
6"Her footsteps echoed in the"
7"She followed, emerging into a"
8"She recognized him from her"
9"He fingered the Saint Christopher"
10"His warm brown eyes held"
11"Her instincts screamed danger, but"
12"She took the token."
ratio0.342
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount37
totalSentences38
matches
0"Rain pelted Detective Quinn's face"
1"Her quarry darted between late-night"
2"Quinn's legs burned, but eighteen"
3"The suspect veered sharply into"
4"Quinn followed, her hand brushing"
5"Her leather watch caught a"
6"The timing nagged at her"
7"Her voice cut through the"
8"The figure glanced back, and"
9"The same unnatural gleam she'd"
10"They burst out of the"
11"The suspect vaulted over a"
12"Quinn skidded to a halt"
13"Everything about this felt wrong."
14"The station had been abandoned"
15"Her jaw clenched."
16"She'd lost him once by"
17"Quinn drew her torch and"
18"The beam cut through darkness"
19"Her footsteps echoed in the"
ratio0.974
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences38
matches(empty)
ratio0
32.97% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences26
technicalSentenceCount4
matches
0"Rain pelted Detective Quinn's face as she sprinted after the hooded figure, her boots splashing through puddles that reflected the neon glow of Soho's nightlife…"
1"The figure glanced back, and Quinn caught a glimpse of something that made her stomach lurch – the suspect's eyes reflected the dim light like a cat's."
2"She followed, emerging into a service tunnel that shouldn't exist according to any official Underground maps."
3"Music drifted up from below, a discordant melody that made her skin prickle."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags3
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
72.2476%