Run: 2026-02-19-01KHTR23A2BWJCFK91EKR7TNT2

Run Details

Duration:
17.2s
Cost:
$0.001826
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 pounded the pavement as Detective Harlow Quinn raced down the dimly lit street, her eyes trained on the fleeing figure ahead. The sharp sound of her boots against the asphalt echoed through the alleyway, adrenaline coursing through her veins. This was no ordinary suspect - Harlow had been hunting this one for weeks, piecing together the clues that tied them to a string of unsolved cases. Now, finally, she had her chance. Ahead, the figure darted down a set of stone steps, disappearing into the darkness below. Harlow didn't hesitate, taking the steps two at a time as she followed the suspect into the unknown. The air grew thick and damp, the scent of mildew and wet stone filling Harlow's nostrils. She blinked, her eyes adjusting to the low light. Where was she? The walls were rough-hewn, the floor cracked and uneven. This wasn't a normal subway tunnel - it had a sense of age and secrecy that made the hairs on the back of her neck stand on end. Harlow paused, ears straining to catch any sounds of her quarry. There - the faint patter of footsteps, growing fainter by the second. She took a deep breath and pressed on, her hand resting on the butt of her service weapon. The tunnel opened up into a cavernous space, the air alive with the hum of voices and the clatter of...what, exactly? Harlow emerged into a sprawling underground market, stalls and makeshift shops lining the walls in a dizzying array of sights and sounds. Peculiar items glinted in the flickering light - crystals, talismans, jars filled with strange liquids. Harlow's eyes narrowed as she scanned the crowd, searching for any sign of her suspect. There - a flash of movement at the far end of the market. Harlow surged forward, weaving between the stalls and vendors, her heart pounding in her ears. "Stop! Police!" she shouted, but her voice was swallowed by the cacophony around her. The suspect darted down a narrow side passage, disappearing from view. Harlow gritted her teeth and pressed on, ignoring the curious and wary glances from the market-goers. The passage grew darker, the air colder. Harlow's hand tightened around her weapon as she advanced, her senses on high alert. She couldn't shake the feeling that she was being watched, that the shadows themselves were closing in around her. Suddenly, a figure stepped out from the gloom, blocking her path. Harlow's fingers tensed on the trigger, but a familiar face greeted her. "Tomás," she breathed, recognizing the former paramedic. "What are you doing here?" Tomás raised his hands, his warm brown eyes filled with a mixture of concern and wariness. "Detective Quinn, you shouldn't be down here. This place is...dangerous." Harlow's jaw tightened. "I'm in pursuit of a suspect. Did you see where they went?" Tomás hesitated, his gaze flickering to the side. "I can't help you, Harlow. Not this time." Harlow's eyes narrowed. "Tomás, if you know something, you need to tell me. Lives are at stake." "I'm sorry," Tomás said, his voice barely above a whisper. "But I can't. Not here." Harlow's frustration mounted, but she could see the genuine concern in Tomás' eyes. She knew he had his own reasons for being in this place, reasons he kept hidden from the world. And something told her those reasons were connected to the very case she was trying to solve. "Tomás, please," she said, her voice softening. "I need your help. I can't do this alone." Tomás held her gaze for a long moment, then sighed. "Alright. But we need to be careful." He turned and led Harlow down the passage, the air growing colder and the shadows deeper. Harlow's grip on her weapon tightened, her heart pounding in her chest. They emerged into a dimly lit chamber, the walls lined with shelves of strange and unsettling artifacts. In the center of the room stood a figure, their back to Harlow and Tomás. "There," Tomás whispered, gesturing towards the figure. "That's your suspect." Harlow took a step forward, her eyes narrowing. "Alright, freeze! Police!" The figure turned, and Harlow felt her breath catch in her throat. It was a woman, her features partially obscured by a dark hood, but Harlow would recognize those sharp features and piercing brown eyes anywhere. "Detective Quinn," the woman purred, her voice dripping with menace. "I was wondering when you'd catch up to me." Harlow's hand trembled as she leveled her weapon at the woman. "Silas...what is the meaning of this?" Silas - the owner of the Raven's Nest bar, a fixture in the Soho community and, as Harlow had long suspected, the ringleader of a criminal clique with ties to the supernatural. "My dear detective," Silas said, her lips curling into a twisted smile. "Welcome to my domain."
created_at"2026-02-19T10:45:17.771Z" 2/19/2026, 10:45:17 AM
model"anthropic/claude-3-haiku"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency319
moderation_latency153
generation_time16934
tokens_prompt1140
tokens_completion1230
native_tokens_prompt1125
native_tokens_completion1236
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"
usage0.00182625
router(null)
provider_responses
0
endpoint_id"401c6f0f-caeb-4c84-92b7-e163dbccf7c2"
id"0419848e-a1e5-4615-b885-a40289bedd7a"
is_byokfalse
latency319
model_permaslug"anthropic/claude-3-haiku"
provider_name"Amazon Bedrock"
status200
api_type"completions"
id"gen-1771497917-Z3CDUtCLbRJrQo8J9XyV"
upstream_id"0419848e-a1e5-4615-b885-a40289bedd7a"
total_cost0.00182625
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
totalTags8
adverbTagCount0
adverbTags(empty)
dialogueSentences20
tagDensity0.4
leniency0.8
rawRatio0
effectiveRatio0
81.18% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount797
totalAiIsmAdverbs3
found
0
adverb"suddenly"
count1
1
adverb"barely above a whisper"
count1
2
adverb"very"
count1
highlights
0"suddenly"
1"barely above a whisper"
2"very"
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)
24.72% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount797
totalAiIsms12
found
0
word"raced"
count1
1
word"echoed"
count1
2
word"sense of"
count1
3
word"footsteps"
count1
4
word"scanned"
count1
5
word"pounding"
count2
6
word"cacophony"
count1
7
word"gloom"
count1
8
word"familiar"
count1
9
word"whisper"
count1
10
word"trembled"
count1
highlights
0"raced"
1"echoed"
2"sense of"
3"footsteps"
4"scanned"
5"pounding"
6"cacophony"
7"gloom"
8"familiar"
9"whisper"
10"trembled"
66.67% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches2
maxInWindow2
found
0
label"eyes widened/narrowed"
count2
highlights
0"eyes narrowed"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences51
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences51
filterMatches(empty)
hedgeMatches(empty)
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
maxSentenceWordsSeen31
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords801
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions6
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions33
wordCount691
uniqueNames7
maxNameDensity3.18
worstName"Harlow"
maxWindowNameDensity4.5
worstWindowName"Harlow"
discoveredNames
Detective1
Harlow22
Quinn1
Tomás6
Raven1
Nest1
Soho1
persons
0"Harlow"
1"Quinn"
2"Tomás"
3"Raven"
places
0"Nest"
1"Soho"
globalScore0
windowScore0.167
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences47
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount801
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences64
matches
0"watched, that the"
93.91% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs30
mean26.7
std12.78
cv0.479
sampleLengths
040
133
233
365
441
543
630
728
814
927
1040
1123
1212
1326
1415
1516
1617
1715
1849
1916
2017
2128
2232
2310
2411
2536
2619
2717
2832
2916
84.62% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences51
matches
0"was swallowed"
1"being watched"
2"were connected"
80.95% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs112
matches
0"were closing"
1"was trying"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount6
semicolonCount0
flaggedSentences6
totalSentences64
ratio0.094
matches
0"This was no ordinary suspect - Harlow had been hunting this one for weeks, piecing together the clues that tied them to a string of unsolved cases."
1"This wasn't a normal subway tunnel - it had a sense of age and secrecy that made the hairs on the back of her neck stand on end."
2"There - the faint patter of footsteps, growing fainter by the second."
3"Peculiar items glinted in the flickering light - crystals, talismans, jars filled with strange liquids."
4"There - a flash of movement at the far end of the market."
5"Silas - the owner of the Raven's Nest bar, a fixture in the Soho community and, as Harlow had long suspected, the ringleader of a criminal clique with ties to the supernatural."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount495
adjectiveStacks0
stackExamples(empty)
adverbCount6
adverbRatio0.012121212121212121
lyAdverbCount5
lyAdverbRatio0.010101010101010102
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
mean12.52
std6.29
cv0.503
sampleLengths
022
118
227
36
415
518
616
79
83
99
1028
1111
1212
1318
1421
1522
1615
1715
1813
1915
2014
2111
2216
237
2414
2519
2611
2712
287
295
3016
3110
323
3312
348
358
363
3714
3810
395
4013
4119
4217
437
449
4510
467
4716
4812
4917
68.75% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats1
diversityRatio0.421875
totalSentences64
uniqueOpeners27
65.36% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences51
matches
0"Suddenly, a figure stepped out"
ratio0.02
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount10
totalSentences51
matches
0"She blinked, her eyes adjusting"
1"She took a deep breath"
2"she shouted, but her voice"
3"She couldn't shake the feeling"
4"she breathed, recognizing the former"
5"She knew he had his"
6"she said, her voice softening"
7"He turned and led Harlow"
8"They emerged into a dimly"
9"It was a woman, her"
ratio0.196
18.82% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount45
totalSentences51
matches
0"Rain pounded the pavement as"
1"The sharp sound of her"
2"This was no ordinary suspect"
3"Harlow didn't hesitate, taking the"
4"The air grew thick and"
5"She blinked, her eyes adjusting"
6"The walls were rough-hewn, the"
7"This wasn't a normal subway"
8"Harlow paused, ears straining to"
9"There - the faint patter"
10"She took a deep breath"
11"The tunnel opened up into"
12"Harlow emerged into a sprawling"
13"Peculiar items glinted in the"
14"Harlow's eyes narrowed as she"
15"There - a flash of"
16"Harlow surged forward, weaving between"
17"she shouted, but her voice"
18"The suspect darted down a"
19"Harlow gritted her teeth and"
ratio0.882
98.04% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences51
matches
0"Now, finally, she had her"
ratio0.02
81.63% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences35
technicalSentenceCount3
matches
0"This was no ordinary suspect - Harlow had been hunting this one for weeks, piecing together the clues that tied them to a string of unsolved cases."
1"This wasn't a normal subway tunnel - it had a sense of age and secrecy that made the hairs on the back of her neck stand on end."
2"Harlow surged forward, weaving between the stalls and vendors, her heart pounding in her ears."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags8
uselessAdditionCount4
matches
0"she shouted, but her voice was swallowed by the cacophony around her"
1"Tomás said, his voice barely above a whisper"
2"she said, her voice softening"
3"the woman purred, her voice dripping with menace"
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount3
fancyTags
0"she shouted (shout)"
1"she breathed (breathe)"
2"Tomás whispered (whisper)"
dialogueSentences20
tagDensity0.3
leniency0.6
rawRatio0.5
effectiveRatio0.3
75.4884%