Run: 2026-02-19-01KHTX1T9Z6S1SYME70T3QYNJ8

Run Details

Duration:
21.3s
Cost:
$0.010304
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 slashed diagonally across Soho’s narrow streets, slicking the cobbled pavement until it mirrored the fractured glow of neon and streetlamps. Harlow Quinn sprinted around the corner of Berwick Street, her breath sharp in her throat, leather soles slapping against puddles. The man ahead—lean, quick, bundled in a dark trench coat—vaulted over a delivery crate with surprising agility. He didn’t look back. He didn’t need to. He knew she was coming. Her holstered sidearm bounced against her hip, heavy and useless. She hadn’t drawn it. Not yet. Too many bystanders, too many blind corners in this maze of alleyways. One misfire, one ricochet—she’d buried enough good people because of split-second decisions. Another left turn. Into a dead-end service lane between two pubs. Trash bins stacked like barricades. Graffiti peeling off the brick. Harlow slowed—eyes scanning, heart hammering. Then she saw it. A sliver of movement behind a ventilation grate near the ground, half-submerged in runoff. The grating moved—just an inch—then stilled. She approached, crouched low, fingers brushing cold, wet iron. The latch was sprung from the inside. She exhaled, mist curling in the air. Not a rat. Too deliberate. Too quiet. Harlow gripped the edge and pulled. The grate swung open with a squeal, revealing a tight, descending shaft barely wide enough for her shoulders. The scent that rose from it—damp concrete, ozone, something metallic like old blood—made her nose wrinkle. She reached for her torch, flicked it on. The beam danced over moss-stained tiles and a crumbling stone staircase spiraling down into darkness. Three years ago, Morris had followed a lead into an abandoned underground pumping station. They found his body three days later on a disused platform. No visible wounds. But his eyes… they were clouded over, pupils blown black as ink. The coroner said shock. The autopsy said heart failure. Harlow knew better. The case was buried under bureaucratic fog. Closed. Forgotten. Now, the same cold knot formed in her gut. She glanced back at the surface—the wet cobbles, the dim glow of a distant taxi—then switched off the light. And stepped into the dark. The descent took longer than expected. The steps wound deeper than any Tube line should reach. Air grew colder, thick with static. At the bottom, a narrow tunnel stretched ahead, lined with crumbling brick and archways that sagged under unseen pressure. Faint light pulsed ahead—blue, flickering, like a faulty bulb. She moved silent, shoulders brushing damp stone. Her hand rested on her holster. Then voices. Low, guttural. One in English. One in a language she didn’t recognize—sharp consonants, too many syllables. She flattened against the wall, edged forward. The tunnel opened into a vast chamber—once a disused underground station, now unrecognizable. Arched platforms had been repurposed into stalls. Tents of tattered velvet and rusted iron framed booths lit by glass lanterns filled with swirling, colored smoke. People—no, not all people—milled in the dim glow. A woman with too many fingers counted silver coins. A man’s shadow moved independently of his body. A child with eyes like polished stones stared at her before vanishing into a canvas flap. The bone token around her neck—taken from Morris’s locker after his death—ticked warm against her skin. She hadn’t understood its purpose then. Now, she did. This was the Veil Market. The man she’d chased stood at a stall, handing a sealed envelope to a vendor whose face was hidden beneath a cowl of stitched leather. In return, the vendor placed a small, brass-bound box into his hands. Harlow stepped forward. The crowd thinned. Sensing authority. Sensing law. The man looked up. Saw her. He bolted. She gave chase, shoving past a pair of figures arguing over a vial of liquid that shimmered like oil on water. The man vaulted over a low barrier, nearly colliding with a stall selling jars of pulsing organs. One jar cracked. A soft, wet *thump* echoed through the stone. Harlow didn’t slow. He turned hard left, disappearing into a side passage lit by candles embedded in skulls. She followed, boots splashing through shallow water. The passage narrowed, then ended at a heavy iron door, already swinging shut. She caught it before it latched. Inside was a low-ceilinged chamber, cluttered with crates and rusted machinery. Water dripped from exposed pipes. Her suspect stood at the far end, pressing his palm against a hidden seam in the wall. A section slid open—just enough for him to slip through. Harlow approached, gun drawn now. “Metropolitan Police!” Her voice echoed. “Step out. Now.” Silence. Then laughter. Quiet. Mocking. “You’re not welcome here, detective.” The voice wasn’t the suspect’s. It came from the shadows near the door. She spun. A man stood just inside the threshold—late twenties, olive skin, curls damp with tunnel moisture. He wore a faded paramedic’s jacket, unzipped. Around his neck, a medallion caught the dim light: Saint Christopher. His left forearm bore a long, jagged scar visible beneath pushed-up sleeves. He didn’t look afraid. “You don’t want to go in there,” he said, calm. “That way leads deeper than you’re ready to follow.” “Step aside,” Harlow said. “I’m not here for you.” “No,” he said, stepping forward. “You’re here for him. But you don’t know what he is. Or what he’s carrying.” The brass-bound box flashed in her mind. Morris’s clouded eyes. “Then tell me.” He hesitated. Then pulled a key from his pocket—old, tarnished, shaped like a spiral. “This place—what you see out there—it’s not just a market. It’s a junction. And that box? It’s not a commodity. It’s a lock. And he’s not a thief. He’s a courier for Silas.” Harlow’s grip tightened on the gun. “Silas?” “The man who owns the bar on Frith Street. The Raven’s Nest.” She knew the place. Had been inside twice—official business. Nothing unusual. But now she remembered: the bookshelf that didn’t quite fit. The cold spot near the back wall. “He’s not just a bar owner,” the man whispered. “He’s a gatekeeper. And that box? It keeps something sealed beneath his bar. Something that’s been quiet for a long time.” Harlow inched toward the hidden passage. “If you go in there,” the man warned, “you won’t come back the same. They don’t.” She glanced at him. Saw the truth in his eyes—the same haunted look she carried since Morris died. “You know what happened to my partner,” she said. He didn’t answer. Didn’t need to. Rainwater dripped from her coat onto the stone floor. A distant chime echoed through the tunnels—three slow, metallic tones. The man—Tomás—stepped in front of the passage. “Last chance,” he said. “Turn back. File a report. Forget you saw this.” Harlow holstered her gun. And drew the bone token from beneath her collar. It glowed faintly in her palm. “I’ve been looking for this place for three years,” she said. “And I’m not leaving without answers.” She stepped past him. Into the dark.
created_at"2026-02-19T12:12:31.687Z" 2/19/2026, 12:12:31 PM
model"writer/palmyra-x5-20250428"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency547
moderation_latency226
generation_time20687
tokens_prompt1140
tokens_completion1937
native_tokens_prompt1004
native_tokens_completion1617
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"
usage0.0103044
router(null)
provider_responses
0
endpoint_id"c684c4e7-1b77-4ca5-9516-7ecc66e2c455"
is_byokfalse
latency547
model_permaslug"writer/palmyra-x5-20250428"
provider_name"Amazon Bedrock"
status200
api_type"completions"
id"gen-1771503151-pXTZfLRXaid1lXWRoq8z"
upstream_id(null)
total_cost0.0103044
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
totalTags9
adverbTagCount0
adverbTags(empty)
dialogueSentences21
tagDensity0.429
leniency0.857
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1180
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)
53.39% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1180
totalAiIsms11
found
0
word"fractured"
count1
1
word"scanning"
count1
2
word"flicked"
count1
3
word"pumping"
count1
4
word"pulsed"
count1
5
word"velvet"
count1
6
word"shimmered"
count1
7
word"echoed"
count3
8
word"silence"
count1
highlights
0"fractured"
1"scanning"
2"flicked"
3"pumping"
4"pulsed"
5"velvet"
6"shimmered"
7"echoed"
8"silence"
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
narrationSentences134
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences134
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences146
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen35
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords1
totalWords1145
ratio0.001
matches
0"thump"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions9
unquotedAttributions0
matches(empty)
93.53% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions31
wordCount974
uniqueNames15
maxNameDensity1.13
worstName"Harlow"
maxWindowNameDensity2
worstWindowName"Harlow"
discoveredNames
Soho1
Quinn1
Berwick1
Street1
Morris4
Tube1
English1
Veil1
Market1
Silence1
Saint1
Christopher1
Harlow11
Tomás1
One4
persons
0"Quinn"
1"Morris"
2"Saint"
3"Christopher"
4"Harlow"
5"Tomás"
places
0"Soho"
1"Berwick"
2"Street"
3"English"
globalScore0.935
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences70
glossingSentenceCount1
matches
0"quite fit"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1145
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences146
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs65
mean17.62
std17.33
cv0.984
sampleLengths
071
140
226
34
436
514
640
723
861
99
1019
115
1250
1313
142
1523
1679
1725
185
1937
203
217
226
232
2449
253
2635
276
2833
2910
305
318
321
334
345
355
368
372
3845
394
4019
419
4220
4310
443
4514
4633
477
4812
4928
94.79% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences134
matches
0"were clouded"
1"was buried"
2"been repurposed"
3"was hidden"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs182
matches
0"was coming"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount25
semicolonCount0
flaggedSentences18
totalSentences146
ratio0.123
matches
0"The man ahead—lean, quick, bundled in a dark trench coat—vaulted over a delivery crate with surprising agility."
1"One misfire, one ricochet—she’d buried enough good people because of split-second decisions."
2"Harlow slowed—eyes scanning, heart hammering."
3"The grating moved—just an inch—then stilled."
4"The scent that rose from it—damp concrete, ozone, something metallic like old blood—made her nose wrinkle."
5"She glanced back at the surface—the wet cobbles, the dim glow of a distant taxi—then switched off the light."
6"Faint light pulsed ahead—blue, flickering, like a faulty bulb."
7"One in a language she didn’t recognize—sharp consonants, too many syllables."
8"The tunnel opened into a vast chamber—once a disused underground station, now unrecognizable."
9"People—no, not all people—milled in the dim glow."
10"The bone token around her neck—taken from Morris’s locker after his death—ticked warm against her skin."
11"A section slid open—just enough for him to slip through."
12"A man stood just inside the threshold—late twenties, olive skin, curls damp with tunnel moisture."
13"Then pulled a key from his pocket—old, tarnished, shaped like a spiral."
14"Had been inside twice—official business."
15"Saw the truth in his eyes—the same haunted look she carried since Morris died."
16"A distant chime echoed through the tunnels—three slow, metallic tones."
17"The man—Tomás—stepped in front of the passage."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1007
adjectiveStacks1
stackExamples
0"over moss-stained tiles"
adverbCount35
adverbRatio0.03475670307845084
lyAdverbCount5
lyAdverbRatio0.004965243296921549
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences146
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences146
mean7.84
std5.62
cv0.717
sampleLengths
021
120
217
34
44
55
610
74
82
912
1012
113
128
135
145
155
164
1714
186
199
207
217
223
232
242
256
2618
2716
288
2915
3014
3111
323
333
349
354
365
373
387
391
401
419
4219
435
446
4510
466
4719
489
497
56.39% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats11
diversityRatio0.3835616438356164
totalSentences146
uniqueOpeners56
89.29% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences112
matches
0"Too many bystanders, too many"
1"Then she saw it."
2"Then pulled a key from"
ratio0.027
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount32
totalSentences112
matches
0"He didn’t look back."
1"He didn’t need to."
2"He knew she was coming."
3"Her holstered sidearm bounced against"
4"She hadn’t drawn it."
5"She approached, crouched low, fingers"
6"She exhaled, mist curling in"
7"She reached for her torch,"
8"They found his body three"
9"they were clouded over, pupils"
10"She glanced back at the"
11"She moved silent, shoulders brushing"
12"Her hand rested on her"
13"She flattened against the wall,"
14"She hadn’t understood its purpose"
15"She gave chase, shoving past"
16"He turned hard left, disappearing"
17"She followed, boots splashing through"
18"She caught it before it"
19"Her suspect stood at the"
ratio0.286
80.54% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount85
totalSentences112
matches
0"Rain slashed diagonally across Soho’s"
1"Harlow Quinn sprinted around the"
2"The man ahead—lean, quick, bundled"
3"He didn’t look back."
4"He didn’t need to."
5"He knew she was coming."
6"Her holstered sidearm bounced against"
7"She hadn’t drawn it."
8"Another left turn."
9"Trash bins stacked like barricades."
10"Graffiti peeling off the brick."
11"Harlow slowed—eyes scanning, heart hammering."
12"A sliver of movement behind"
13"The grating moved—just an inch—then"
14"She approached, crouched low, fingers"
15"The latch was sprung from"
16"She exhaled, mist curling in"
17"Harlow gripped the edge and"
18"The grate swung open with"
19"The scent that rose from"
ratio0.759
89.29% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences112
matches
0"Now, the same cold knot"
1"Now, she did."
ratio0.018
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences38
technicalSentenceCount2
matches
0"At the bottom, a narrow tunnel stretched ahead, lined with crumbling brick and archways that sagged under unseen pressure."
1"She gave chase, shoving past a pair of figures arguing over a vial of liquid that shimmered like oil on water."
69.44% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags9
uselessAdditionCount1
matches
0"he said, calm"
54.76% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags8
fancyCount2
fancyTags
0"the man whispered (whisper)"
1"the man warned (warn)"
dialogueSentences21
tagDensity0.381
leniency0.762
rawRatio0.25
effectiveRatio0.19
89.1806%