Run: 2026-02-19-01KHTX61T6PCRZ8PC9VAMZKRC1

Run Details

Duration:
17.7s
Cost:
$0.009548
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 slapped the pavement like gunfire, each drop exploding against the cracked concrete of Soho’s back alleys. Detective Harlow Quinn’s boots skidded on wet cobblestones, her breath coming in tight, controlled bursts. She rounded the corner, coat flaring behind her like the wings of a wounded bird, eyes locked on the figure ahead—half-shadow, half-silhouette—darting between overflowing dumpsters and sagging fire escapes. She didn’t know his name. Not yet. But she knew the shape of guilt, and she’d seen it in the flicker of his eyes through the cafe window three blocks back. He wasn’t just running from her—he was running from something else too. Something deeper than the law. Her fingers brushed the butt of her sidearm, but she didn’t draw. Not here. Not in the open. Too many witnesses. Too many windows. “Stop! Police!” she shouted, voice sharp over the storm. He didn’t look back. Quinn tightened her grip on the worn leather of her wristwatch, a nervous habit she couldn’t shake since Morris died. Her pulse hammered behind her ribs. Eighteen years on the force and she’d never chased anything like this. Not in broad daylight, not in plain sight. This felt wrong. The timing. The route. Every instinct screamed trap. But the alley narrowed, and the figure vanished. She hit the dead end—brick wall, graffiti-tagged bin, fire door chained shut—and for a second, her stomach dropped. Then she saw it: the grate. Loose. Half-covered by a tarp, but not enough. A breath of warmer air curled up from below, carrying the faintest tang of incense and something metallic, like old coin. She dropped to one knee, shoved the tarp aside. Below, stone steps wound down into darkness. The bone token. She remembered the file Morris had hidden—notes scrawled in the margins about “the Market,” about movement under the full moon. She’d thought it was grief talking. Madness. But the token was real. She’d found it wrapped in cloth in his desk drawer, yellowed and carved with unreadable glyphs. She reached into her coat, pulled it from an inside pocket. Cold against her palm. One chance. She pocketed the token and started down. The steps groaned under her weight, slick with mildew and something darker. The air thickened. Her boots echoed like gunshots. Twenty steps. Thirty. Then the corridor opened. And the world changed. The Veil Market stretched beneath Camden in vaulted tunnels once used by the Underground. Arches of crumbling brick framed stalls lit by candlelight and floating orbs of sickly green flame. Canopies of moth-eaten velvet flapped in unseen currents. Figures moved in hooded cloaks, their faces obscured, carrying bundles wrapped in burlap, cages that rattled with unidentifiable movement. A woman with eyes like polished jet sold bottled shadows in glass vials. A man with antlers grafted to his skull bartered over a rusted music box. The scent of burnt sage and rotting lilies clung to the air. Quinn kept low, back to the wall, hand near her holster. Her watch ticked—too loud. She scanned the crowd. Looked for the runner. Looked for anything familiar. A stall to her left sold teeth—human, animal, things with too many roots. A child no older than ten handed over a gold crown in exchange for a vial of swirling mist. Quinn’s jaw tightened. Then—a flicker. There. At the far end. The same build. The same dark coat. She moved. But the market twisted. A straight path curved. Distances lied. She passed a vendor selling mirrors that reflected faces not her own. A clock melted on a shelf, hands spinning backward. She stopped, breathing hard. Her watch—her father’s watch—shivered on her wrist. The leather creaked. Then someone stepped from the shadows. Not the runner. A man, mid-thirties, curly dark hair slick with rain. Olive skin. A scar tracing his forearm like a sentence left unfinished. Around his neck, a metal medallion: Saint Christopher. He blocked her path without touching her. “You shouldn’t be here, Detective.” She didn’t flinch. “And you are?” “Tomás Herrera. I patch up the ones the world forgets.” She studied him. Calm. Confident. No fear. That worried her more than a blade would. “You’re not police. No uniform. No ID.” “No,” he said. “But I know why you’re here. And I know what you’re chasing.” Her fingers twitched. “You helping him?” “Not him. You.” She almost laughed. “You don’t know me.” “I know what you lost.” His voice dropped. “DS Morris. Three years ago. Case never closed. Body never found. Just a stain on the floor and a pair of boots too big for a man his size.” Her breath caught. “How do you know that?” “I was there,” he said. “Not at the scene. But after. They brought him to me. Too late. Whatever took him… it wasn’t human.” She stared. Her hand hovered over her gun. “You expect me to believe that?” “I expect you to survive.” The crowd around them shifted. A merchant began packing up, folding cloth over empty trays. The candles dimmed. “It’s closing,” Tomás said. “The Market doesn’t stay in one place long. We have minutes.” “And the man I chased?” “He’s smoke in a storm. You won’t catch him tonight. But you might walk out alive—if you let me help.” Her mind raced. Protocols. Procedure. Years of training screamed at her to cuff him, to call for backup, to shut this place down. But there was no backup. No signal down here. No badge strong enough to hold back what she’d seen already. She looked at Tomás. At the medallion swinging gently from his neck. “You said you know what I lost,” she said. “Then tell me—what killed Morris?” He hesitated. Then stepped closer. “Not what. Who. A watcher from the outer circles. It wears names like coats. He’s here, Detective. In this market. And he’s been watching you since you stepped off that first stair.” A cold ripple ran down her spine. “Why?” “Because you’re close,” Tomás said. “Closer than anyone’s been in decades. And the ones who hide in the dark don’t like the light.” Somewhere in the tunnels, a bell rang—deep, hollow, final. The stalls folded in on themselves. The lights waned. The air grew colder. Tomás turned. “Come with me. Or stay and become another stain on the floor.” She looked down at the bone token in her palm. Then at the last flicker of the runner’s coat disappearing through an archway guarded by two figures in grey rags. Her breath fogged in front of her. She slipped the token back into her pocket and followed Tomás into the dark.
created_at"2026-02-19T12:14:50.187Z" 2/19/2026, 12:14:50 PM
model"writer/palmyra-x5-20250428"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency374
moderation_latency202
generation_time17312
tokens_prompt1140
tokens_completion1794
native_tokens_prompt1004
native_tokens_completion1491
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"
usage0.0095484
router(null)
provider_responses
0
endpoint_id"c684c4e7-1b77-4ca5-9516-7ecc66e2c455"
is_byokfalse
latency373
model_permaslug"writer/palmyra-x5-20250428"
provider_name"Amazon Bedrock"
status200
api_type"completions"
id"gen-1771503290-KLjc1WVAlZZM4nj9Kmko"
upstream_id(null)
total_cost0.0095484
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)
dialogueSentences29
tagDensity0.276
leniency0.552
rawRatio0
effectiveRatio0
95.51% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1114
totalAiIsmAdverbs1
found
0
adverb"gently"
count1
highlights
0"gently"
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)
37.16% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1114
totalAiIsms14
found
0
word"flicker"
count3
1
word"pulse"
count1
2
word"stomach"
count1
3
word"unreadable"
count1
4
word"weight"
count1
5
word"echoed"
count1
6
word"velvet"
count1
7
word"scanned"
count1
8
word"familiar"
count1
9
word"tracing"
count1
10
word"raced"
count1
11
word"down her spine"
count1
highlights
0"flicker"
1"pulse"
2"stomach"
3"unreadable"
4"weight"
5"echoed"
6"velvet"
7"scanned"
8"familiar"
9"tracing"
10"raced"
11"down her spine"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"stomach dropped/sank"
count1
highlights
0"stomach dropped"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences125
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount0
narrationSentences125
filterMatches
0"watch"
1"watch—watch"
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
maxSentenceWordsSeen33
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1094
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions19
wordCount854
uniqueNames11
maxNameDensity0.59
worstName"Tomás"
maxWindowNameDensity2.5
worstWindowName"Tomás"
discoveredNames
Soho1
Harlow1
Quinn4
Morris2
Veil1
Market1
Camden1
Underground1
Saint1
Christopher1
Tomás5
persons
0"Harlow"
1"Quinn"
2"Morris"
3"Market"
4"Saint"
5"Christopher"
6"Tomás"
places
0"Soho"
globalScore1
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences55
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1094
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
mean16.83
std14.64
cv0.87
sampleLengths
061
148
224
39
44
557
68
718
835
99
107
1151
1215
132
147
1527
164
1757
1839
1915
2012
2135
222
2312
242
2531
2614
276
283
2929
307
315
326
3310
3415
357
3615
376
383
397
4037
413
425
4324
4414
455
4618
4715
485
4920
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences125
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs156
matches
0"was running"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount12
semicolonCount0
flaggedSentences9
totalSentences146
ratio0.062
matches
0"She rounded the corner, coat flaring behind her like the wings of a wounded bird, eyes locked on the figure ahead—half-shadow, half-silhouette—darting between overflowing dumpsters and sagging fire escapes."
1"He wasn’t just running from her—he was running from something else too."
2"She hit the dead end—brick wall, graffiti-tagged bin, fire door chained shut—and for a second, her stomach dropped."
3"She remembered the file Morris had hidden—notes scrawled in the margins about “the Market,” about movement under the full moon."
4"Her watch ticked—too loud."
5"A stall to her left sold teeth—human, animal, things with too many roots."
6"Then—a flicker."
7"Her watch—her father’s watch—shivered on her wrist."
8"Somewhere in the tunnels, a bell rang—deep, hollow, final."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount872
adjectiveStacks0
stackExamples(empty)
adverbCount25
adverbRatio0.028669724770642203
lyAdverbCount3
lyAdverbRatio0.0034403669724770644
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
mean7.49
std6.22
cv0.831
sampleLengths
017
115
229
35
42
524
612
75
812
92
104
113
123
139
144
1520
166
1712
188
193
202
212
224
238
2418
256
261
277
2821
299
307
313
3220
336
341
355
3616
3711
384
392
407
4112
423
435
442
451
464
474
4814
4916
50.91% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats14
diversityRatio0.363013698630137
totalSentences146
uniqueOpeners53
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount8
totalSentences98
matches
0"Too many witnesses."
1"Too many windows."
2"Then she saw it: the"
3"Then the corridor opened."
4"Then someone stepped from the"
5"Then stepped closer."
6"Somewhere in the tunnels, a"
7"Then at the last flicker"
ratio0.082
85.31% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount33
totalSentences98
matches
0"She rounded the corner, coat"
1"She didn’t know his name."
2"He wasn’t just running from"
3"Her fingers brushed the butt"
4"she shouted, voice sharp over"
5"He didn’t look back."
6"Her pulse hammered behind her"
7"She hit the dead end—brick"
8"She dropped to one knee,"
9"She remembered the file Morris"
10"She’d thought it was grief"
11"She’d found it wrapped in"
12"She reached into her coat,"
13"She pocketed the token and"
14"Her boots echoed like gunshots."
15"Her watch ticked—too loud."
16"She scanned the crowd."
17"She passed a vendor selling"
18"She stopped, breathing hard."
19"Her watch—her father’s watch—shivered on"
ratio0.337
100.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount70
totalSentences98
matches
0"Rain slapped the pavement like"
1"Detective Harlow Quinn’s boots skidded"
2"She rounded the corner, coat"
3"She didn’t know his name."
4"He wasn’t just running from"
5"Something deeper than the law."
6"Her fingers brushed the butt"
7"she shouted, voice sharp over"
8"He didn’t look back."
9"Quinn tightened her grip on"
10"Her pulse hammered behind her"
11"This felt wrong."
12"Every instinct screamed trap."
13"She hit the dead end—brick"
14"A breath of warmer air"
15"She dropped to one knee,"
16"The bone token."
17"She remembered the file Morris"
18"She’d thought it was grief"
19"She’d found it wrapped in"
ratio0.714
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences98
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences32
technicalSentenceCount0
matches(empty)
62.50% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags8
uselessAdditionCount1
matches
0"she shouted, voice sharp over the storm"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount1
fancyTags
0"she shouted (shout)"
dialogueSentences29
tagDensity0.207
leniency0.414
rawRatio0.167
effectiveRatio0.069
87.1576%