Run: 2026-02-19-01KHSYYZG0BCDEV47R9JF34J4G

Run Details

Duration:
33.6s
Cost:
$0.002074
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="4414" name="Eva Kowalski" aliases="Eva, Evie" pronouns="she/her" species="Human" storyRole="Best Friend"> <eyeColor>green</eyeColor> <hair>curly red</hair> <height>5'4"</height> <age>26</age> <glasses>round glasses</glasses> <satchel>worn leather satchel full of books</satchel> <freckles>freckled complexion</freckles> <nervousHabit>tucking hair behind her left ear</nervousHabit> <description>Aurora's childhood friend and an occult researcher.</description> <backstory>Moved to London two years before Aurora and works as a research assistant at the British Museum's restricted archives. She holds a master's degree in Ancient History from Oxford.</backstory> </character> <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> <item id="2004" name="Veil Compass" aliases="the Compass, shadow compass" type="Tool" origin="The Veil Market"> <casingMaterial>small brass compass</casingMaterial> <faceMarkings>face etched with protective sigils</faceMarkings> <needle>points toward the nearest supernatural rift or portal</needle> <patina>casing has a patina of verdigris</patina> <creator>crafted by a Shade artisan</creator> <description>A compass attuned to supernatural energy.</description> </item> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the mystery genre. A detective arrives at a crime scene in an unusual location. Something is wrong — the evidence doesn't add up. A colleague is present, offering a different interpretation. Through careful observation and deduction, the detective begins to see what others have missed. 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
The rain drummed a relentless tattoo against the old subway platform as Detective Harlow Quinn crouched beside the body, her brow furrowed in concentration. This was no ordinary crime scene. The victim, a young woman in her mid-twenties, lay sprawled amid discarded newspapers and the detritus of the abandoned station. Quinn brushed a lock of her salt-and-pepper hair back from her face as she examined the body, her sharp jaw set in a grim line. Something wasn't right. "What have we got, Parson?" she asked, glancing up at the junior detective standing a few paces away. Parson consulted his notes, his brow creased with uncertainty. "Victim's name is Abigail Hensley, 26 years old. Cause of death appears to be blunt force trauma to the head." He hesitated, shifting his weight from one foot to the other. "But, uh, that's not all. There's something... strange about the scene." Quinn arched a single eyebrow, her gaze sweeping the platform. "Strange how?" Parson cleared his throat, clearly uncomfortable. "Well, for one thing, there are no signs of a struggle. No defensive wounds, no signs of a fight. And the victim's personal effects—wallet, phone, jewelry—are all still on her." Quinn nodded, her eyes narrowing. "Robbery wasn't the motive, then." She gestured to the body. "What about the wound? Is it consistent with a beating?" Parson shook his head. "Not exactly. The trauma to the head is... unusual. Almost surgical, in a way." He paused, worrying his lower lip. "And there's something else. The victim's eyes are open, but..." Quinn leaned closer, and her breath caught in her throat. Abigail Hensley's eyes were open, but they were not the unseeing gaze of the dead. They were fixed, unblinking, and glowing with an unearthly light. "What the hell?" Quinn muttered, reaching out to gently close the young woman's eyes. As her fingertips brushed Abigail's skin, she felt a strange tingling sensation, like static electricity. "I, uh, I called in the forensics team," Parson said, his voice wavering slightly. "They should be here soon." Quinn nodded absently, her mind racing. This was no ordinary murder. The evidence simply didn't add up. She rose to her feet, her worn leather watch catching the dim light as she tugged at the sleeve of her coat. "Parson, I want you to canvas the area, see if you can find any witnesses. And keep an eye out for anything... unusual." "Unusual?" Parson echoed, his eyes wide. Quinn fixed him with a stern look. "Trust me, you'll know it when you see it." As Parson hurried off, Quinn turned her attention back to the body, her keen eyes scanning every detail. There had to be something she was missing, some clue that would unlock the mystery of Abigail Hensley's death. A soft scuffing sound behind her made Quinn whirl around, her hand instinctively reaching for the pistol at her hip. But she relaxed when she saw a familiar figure emerge from the shadows. "Eva," she said, acknowledging the young woman with a nod. "I should have known you'd turn up." Eva Kowalski, Quinn's long-time friend and occasional partner in the occult, offered a sheepish smile. "I, uh, heard about the body. Thought you might need some... specialized assistance." Quinn eyed her skeptically. "And how, pray tell, did you 'hear' about this?" Eva's freckled cheeks flushed slightly as she adjusted the strap of her worn leather satchel. "I have my sources," she said evasively. "Anyway, I figured you could use a fresh pair of eyes." Quinn considered this for a moment, then sighed. "Fine. But stay out of the way of the forensics team, will you?" Eva nodded eagerly, her green eyes alight with curiosity as she moved closer to the body. She knelt beside Abigail Hensley, her gaze sweeping over the young woman's features. Suddenly, her hand shot out, and she grasped the victim's wrist, her fingers probing for a pulse. Quinn watched, her brow furrowed, as Eva's expression shifted from one of curiosity to one of growing alarm. "What is it?" Quinn asked, her voice low. Eva looked up, her eyes wide behind her round glasses. "She's... she's not dead." Quinn's eyes widened in disbelief. "What are you talking about? Parson said the cause of death was blunt force trauma." "I know, I know," Eva said, her words tumbling out in a rush. "But there's a pulse, however faint. And her eyes..." She gestured to Abigail's face. "They're not the eyes of the dead. There's something... else going on here." Quinn stared at the body, her mind racing. If Abigail Hensley wasn't dead, then what the hell had happened to her? And where did that unearthly light in her eyes come from? "Alright," Quinn said, her voice clipped. "We need to get her to a hospital, immediately." She turned to Parson, who had just returned from his canvassing. "Parson, call for an ambulance. Tell them we have a possible... unusual situation." Parson's eyes widened, but he nodded and hurried off to make the call. Quinn turned back to Eva, her expression grim. "I don't know what's going on here, but I intend to find out. And I'll need your help." Eva nodded, her own expression serious. "Of course. I'm with you, Harlow." As the sound of the approaching ambulance echoed through the abandoned station, Quinn couldn't shake the feeling that this was only the beginning of a much larger mystery. And she had a sinking suspicion that the answers she sought would lead her down a path she wasn't entirely prepared for.
created_at"2026-02-19T03:26:41.474Z" 2/19/2026, 3:26:41 AM
model"anthropic/claude-3-haiku"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency241
moderation_latency166
generation_time33029
tokens_prompt1149
tokens_completion1414
native_tokens_prompt1145
native_tokens_completion1430
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"
usage0.00207375
router(null)
provider_responses
0
endpoint_id"401c6f0f-caeb-4c84-92b7-e163dbccf7c2"
id"559251f1-7309-49ef-8146-9c936e75b74f"
is_byokfalse
latency240
model_permaslug"anthropic/claude-3-haiku"
provider_name"Amazon Bedrock"
status200
api_type"completions"
id"gen-1771471601-lWmGwcPm1QeJz67PQtxY"
upstream_id"559251f1-7309-49ef-8146-9c936e75b74f"
total_cost0.00207375
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
totalTags14
adverbTagCount1
adverbTags
0"she said evasively [evasively]"
dialogueSentences33
tagDensity0.424
leniency0.848
rawRatio0.071
effectiveRatio0.061
73.03% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount927
totalAiIsmAdverbs5
found
0
adverb"gently"
count1
1
adverb"slightly"
count2
2
adverb"eagerly"
count1
3
adverb"suddenly"
count1
highlights
0"gently"
1"slightly"
2"eagerly"
3"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)
29.88% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount927
totalAiIsms13
found
0
word"furrowed"
count2
1
word"weight"
count1
2
word"eyebrow"
count1
3
word"wavering"
count1
4
word"racing"
count2
5
word"echoed"
count2
6
word"scanning"
count1
7
word"familiar"
count1
8
word"pulse"
count2
highlights
0"furrowed"
1"weight"
2"eyebrow"
3"wavering"
4"racing"
5"echoed"
6"scanning"
7"familiar"
8"pulse"
66.67% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches2
maxInWindow2
found
0
label"eyes widened/narrowed"
count2
highlights
0"eyes widened"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells1
narrationSentences55
matches
0"d in disbelief"
90.91% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences55
filterMatches
0"watch"
hedgeMatches
0"happened to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences74
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen32
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords921
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions11
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions49
wordCount612
uniqueNames8
maxNameDensity3.27
worstName"Quinn"
maxWindowNameDensity4
worstWindowName"Quinn"
discoveredNames
Detective1
Harlow1
Quinn20
Parson8
Hensley4
Abigail6
Eva8
Kowalski1
persons
0"Detective"
1"Harlow"
2"Quinn"
3"Parson"
4"Hensley"
5"Abigail"
6"Eva"
7"Kowalski"
places(empty)
globalScore0
windowScore0.333
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences43
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount921
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences74
matches(empty)
86.76% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs34
mean27.09
std12.29
cv0.454
sampleLengths
030
148
218
351
412
536
625
734
835
929
1019
1139
1223
136
1416
1537
1633
1717
1828
1913
2033
2121
2246
2318
248
2514
2620
2740
2832
2939
3013
3126
3212
3350
98.88% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences55
matches
0"were fixed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs108
matches
0"was missing"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences74
ratio0
matches(empty)
96.37% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount616
adjectiveStacks0
stackExamples(empty)
adverbCount21
adverbRatio0.03409090909090909
lyAdverbCount15
lyAdverbRatio0.024350649350649352
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences74
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences74
mean12.45
std6.55
cv0.526
sampleLengths
024
16
220
325
43
518
69
731
811
910
102
116
1230
135
1410
1510
164
1720
1810
1910
2015
2110
2214
2315
2414
255
266
275
286
2922
3023
316
327
339
3418
3519
3620
3713
3810
397
4015
4113
424
439
4415
457
4611
478
4813
4916
66.22% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats1
diversityRatio0.40540540540540543
totalSentences74
uniqueOpeners30
60.61% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences55
matches
0"Suddenly, her hand shot out,"
ratio0.018
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount11
totalSentences55
matches
0"she asked, glancing up at"
1"He hesitated, shifting his weight"
2"She gestured to the body"
3"He paused, worrying his lower"
4"They were fixed, unblinking, and"
5"She rose to her feet,"
6"she said, acknowledging the young"
7"she said evasively"
8"She knelt beside Abigail Hensley,"
9"She gestured to Abigail's face"
10"She turned to Parson, who"
ratio0.2
32.73% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount47
totalSentences55
matches
0"The rain drummed a relentless"
1"This was no ordinary crime"
2"The victim, a young woman"
3"Quinn brushed a lock of"
4"Something wasn't right."
5"she asked, glancing up at"
6"Parson consulted his notes, his"
7"He hesitated, shifting his weight"
8"Quinn arched a single eyebrow,"
9"Parson cleared his throat, clearly"
10"Quinn nodded, her eyes narrowing."
11"She gestured to the body"
12"Parson shook his head."
13"He paused, worrying his lower"
14"Quinn leaned closer, and her"
15"Abigail Hensley's eyes were open,"
16"They were fixed, unblinking, and"
17"Quinn muttered, reaching out to"
18"Parson said, his voice wavering"
19"Quinn nodded absently, her mind"
ratio0.855
90.91% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences55
matches
0"If Abigail Hensley wasn't dead,"
ratio0.018
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences25
technicalSentenceCount1
matches
0"There had to be something she was missing, some clue that would unlock the mystery of Abigail Hensley's death."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags14
uselessAdditionCount5
matches
0"Parson said, his voice wavering slightly"
1"Parson echoed, his eyes wide"
2"Quinn asked, her voice low"
3"Eva said, her words tumbling out in a rush"
4"Quinn said, her voice clipped"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags8
fancyCount1
fancyTags
0"Quinn muttered (mutter)"
dialogueSentences33
tagDensity0.242
leniency0.485
rawRatio0.125
effectiveRatio0.061
83.0989%