Run: 2026-02-19-01KHTX59J9KZGXS96N6GYCZ7BF

Run Details

Duration:
18.5s
Cost:
$0.010058
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 platform was damp, slick with condensation that dripped from cracked tiles like slow, steady tears. Detective Harlow Quinn stood at the top of a broken escalator, her boots rooted in the grime of what had once been a functioning Tube station — before it became something else. The air smelled of rust, ozone, and beneath it, something bitter. Like burnt hair. She glanced at her watch. Not for the time, but for the habit. The leather strap groaned against her wrist, worn thin from years of pulling it tight when she needed to focus. Below, the crime scene tape fluttered in a draft that had no source. A body lay sprawled on the tracks, limbs splayed unnaturally, clothes torn not by impact, but by something sharper. Cleaner. The forensic team huddled nearby, their flashlights flickering as if the electricity resisted them. Quinn descended slowly, her gait measured. Her eyes scanned the walls first — fractured ceramic tiles, graffiti in no language she recognized, symbols that seemed to shift if stared at too long. One of the uniforms approached, clipboard trembling in his grip. “Detective. We found him an hour ago. No ID. No CCTV — none of the cameras down here are active, even the ones that should be on auxiliary. Medics say he’s been dead less than thirty minutes, but… sir, his insides are gone.” Quinn didn’t flinch. She kept walking. “Wrong,” she said. The officer blinked. “Ma’am?” She stepped over the tape, crouched beside the body. The man was pale, eyes wide open and clouded, mouth frozen in a soundless scream. His chest was caved in, but not crushed — excavated. The ribs had been splayed outward, the cavity inside hollowed, organs missing. But no blood. Not a drop. The tracks beneath him were dry. She pulled her gloves on one knuckle at a time. “If he’d been dead thirty minutes, there’d be pooling. Rigor would’ve started. Liver temp doesn’t match. Someone moved him here after time of death.” She rose, circled the body. Her gaze caught on a small brass disc near the victim’s right hand — half-buried in grime. She knelt again, didn’t touch it. A bone token. Human femur, roughly carved. She’d seen one once before, three years ago, clutched in the fist of her partner, DS Morris. The night he disappeared. The night the ambulance never arrived. The night the incident report vanished. “Detective.” A voice, light but steady, came from behind her. Quinn turned. Eva Kowalski stood at the edge of the platform, satchel slung over one shoulder, round glasses reflecting the dim glow of emergency lights. Her red curls were damp from the tunnel’s humidity, and she tucked a loose strand behind her left ear — a nervous habit Quinn had learned to read like a tell. “What are you doing here?” Quinn said. “I was called,” Eva said. “By the museum. They were notified about unusual energy signatures. I’m the closest consultant.” Quinn narrowed her eyes. “You’re not police. You don’t get clearance for active scenes.” “I do,” Eva said softly, “when the Home Office flags a death as Class-5 occult contamination. Which this one just did. You’d know that if your request for jurisdiction hadn’t been rerouted.” Quinn’s jaw tightened. “You’re telling me the Home Office classified this as what? Witchcraft?” “A more precise term would be *dimensional displacement*,” Eva said, stepping forward. “But yes.” Quinn exhaled through her nose. “The cause of death is blunt force trauma. He fell from the platform.” Eva crouched beside the body, careful not to cross any lines, and gestured to the victim’s shoes. “No scuff marks on the soles. If he’d fallen, even from up there, he’d have dragged one foot. He was placed. And look at the angle of the ribs — pried open from the inside. Not torn. Deliberate. Surgical.” “That doesn’t make sense.” “No,” Eva agreed. “Unless you consider *what* might want to remove a human heart without spilling blood.” Quinn didn’t answer. She stepped back, scanned the tunnel. The rails hummed faintly. Not from current — they hadn’t carried power in decades. She walked to the wall, ran her fingers along a symbol etched into the tile. It wasn’t paint. It was *cut*. Fresh. Eva followed. “That’s a ward. Old. Faint, but active. Meant to repel *something*.” “Then why is it on the inside of the station?” Eva smiled, just slightly. “Because the danger wasn’t coming in. It was already here.” Quinn moved on. Her eyes caught a glint near the third service door — a small object half-covered by debris. She crouched, used her pen to lift it. A brass compass. Tiny. Corroded green with age. The face bore markings she didn’t recognize — tight, angular sigils that seemed to vibrate under light. The needle spun once, twice, then locked — not north, but down the tunnel, eastward. She turned it over. On the back, a single word, scratched in hurried script: *Close*. Eva inhaled sharply. “That’s a Veil Compass,” she said. “They don’t exist outside the Market.” “The what?” “The Veil Market. It’s a network. A black market for things that aren’t supposed to exist. Rifts. Artifacts. Forbidden knowledge. It moves. Full moon. New location. Last known site was Brixton. But if this is here…” Quinn stood. “Then it’s underneath Camden now.” Eva stared at her. “You know about it.” “I know I found one of these in Morris’s pocket the night he vanished,” Quinn said, voice low. “I know the report was scrubbed. I know no one would tell me what he was investigating. I know he died down here — or something like it.” Silence settled between them, thick with things unsaid. Eva took a breath. “This man wasn’t murdered. He was a *key*.” Quinn looked at her. “They take the heart,” Eva said, “not to kill. But to *unlock*. Some portals require a living sacrifice. A conduit. His heart was removed while he was still alive — that’s why there’s no blood. It was consumed by the rift. That’s why the air tastes like burnt hair. Dimensional bleed.” Quinn turned back to the body. Re-examined the ribcage. The edges weren’t jagged. They were smooth. Clean. Like they’d been dissolved from within. She looked down the tunnel again. The compass needle still pointed east. “How close is the rift?” Eva hesitated. “If the compass is active… close enough to open. Tonight. During the moonrise.” Quinn holstered the compass, reached for her radio. It crackled with static. Dead. She turned to the officer at the top of the escalator. “Evacuate the station. Now. Call for backup. Armed response.” The uniform hesitated. “We don’t have jurisdiction this deep—” “I don’t care,” Quinn said. “Get them out. Something’s coming. And it’s not human.”
created_at"2026-02-19T12:14:25.359Z" 2/19/2026, 12:14:25 PM
model"writer/palmyra-x5-20250428"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency383
moderation_latency94
generation_time18277
tokens_prompt1149
tokens_completion1833
native_tokens_prompt1034
native_tokens_completion1573
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"
usage0.0100584
router(null)
provider_responses
0
endpoint_id"c684c4e7-1b77-4ca5-9516-7ecc66e2c455"
is_byokfalse
latency383
model_permaslug"writer/palmyra-x5-20250428"
provider_name"Amazon Bedrock"
status200
api_type"completions"
id"gen-1771503265-o4mOTiylMMjpqa6gAgqZ"
upstream_id(null)
total_cost0.0100584
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
totalTags10
adverbTagCount1
adverbTags
0"Eva said softly [softly]"
dialogueSentences37
tagDensity0.27
leniency0.541
rawRatio0.1
effectiveRatio0.054
82.08% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1116
totalAiIsmAdverbs4
found
0
adverb"slowly"
count1
1
adverb"softly"
count1
2
adverb"slightly"
count1
3
adverb"sharply"
count1
highlights
0"slowly"
1"softly"
2"slightly"
3"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)
64.16% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1116
totalAiIsms8
found
0
word"fluttered"
count1
1
word"measured"
count1
2
word"scanned"
count2
3
word"fractured"
count1
4
word"etched"
count1
5
word"glint"
count1
6
word"silence"
count1
highlights
0"fluttered"
1"measured"
2"scanned"
3"fractured"
4"etched"
5"glint"
6"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
narrationSentences92
matches(empty)
96.27% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount2
narrationSentences92
filterMatches
0"watch"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences119
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen50
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans7
markdownWords8
totalWords1126
ratio0.007
matches
0"dimensional displacement"
1"what"
2"cut"
3"something"
4"Close"
5"key"
6"unlock"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions15
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions35
wordCount671
uniqueNames7
maxNameDensity2.53
worstName"Quinn"
maxWindowNameDensity5
worstWindowName"Eva"
discoveredNames
Harlow1
Quinn17
Tube1
Morris1
Kowalski1
Eva13
Silence1
persons
0"Harlow"
1"Quinn"
2"Morris"
3"Kowalski"
4"Eva"
5"Silence"
places(empty)
globalScore0.233
windowScore0
28.05% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences41
glossingSentenceCount2
matches
0"symbols that seemed to shift if stared at too long"
1"sigils that seemed to vibrate under light"
0.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches3
per1kWords2.664
wordCount1126
matches
0"Not for the time, but for the habit"
1"not by impact, but by something sharper"
2"not north, but down the tunnel, eastward"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences119
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs49
mean22.98
std20.39
cv0.887
sampleLengths
095
147
242
343
46
53
64
758
834
968
101
1111
1254
137
1419
1514
1632
1714
1814
1918
2056
214
2217
2345
2413
2510
2614
2728
2840
2915
303
3112
322
3336
347
358
3646
378
3812
394
4051
4123
4212
435
4415
4513
4620
479
4814
93.82% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences92
matches
0"was caved"
1"been splayed"
2"been dissolved"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs135
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount9
semicolonCount0
flaggedSentences9
totalSentences119
ratio0.076
matches
0"Detective Harlow Quinn stood at the top of a broken escalator, her boots rooted in the grime of what had once been a functioning Tube station — before it became something else."
1"Her eyes scanned the walls first — fractured ceramic tiles, graffiti in no language she recognized, symbols that seemed to shift if stared at too long."
2"His chest was caved in, but not crushed — excavated."
3"Her gaze caught on a small brass disc near the victim’s right hand — half-buried in grime."
4"Her red curls were damp from the tunnel’s humidity, and she tucked a loose strand behind her left ear — a nervous habit Quinn had learned to read like a tell."
5"Not from current — they hadn’t carried power in decades."
6"Her eyes caught a glint near the third service door — a small object half-covered by debris."
7"The face bore markings she didn’t recognize — tight, angular sigils that seemed to vibrate under light."
8"The needle spun once, twice, then locked — not north, but down the tunnel, eastward."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount665
adjectiveStacks0
stackExamples(empty)
adverbCount21
adverbRatio0.031578947368421054
lyAdverbCount7
lyAdverbRatio0.010526315789473684
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences119
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences119
mean9.46
std9.21
cv0.974
sampleLengths
016
132
211
33
45
58
620
713
819
91
1014
116
1226
1310
1443
153
163
173
183
191
209
2115
2210
2312
243
253
266
2710
2824
295
3017
316
323
334
3417
354
366
376
381
399
402
4123
4231
437
445
4514
464
4710
4832
493
53.78% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.35294117647058826
totalSentences119
uniqueOpeners42
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences76
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount22
totalSentences76
matches
0"She glanced at her watch."
1"Her eyes scanned the walls"
2"She kept walking."
3"She stepped over the tape,"
4"His chest was caved in,"
5"She pulled her gloves on"
6"She rose, circled the body."
7"Her gaze caught on a"
8"She knelt again, didn’t touch"
9"She’d seen one once before,"
10"Her red curls were damp"
11"She stepped back, scanned the"
12"She walked to the wall,"
13"It wasn’t paint."
14"It was *cut*."
15"Her eyes caught a glint"
16"She crouched, used her pen"
17"She turned it over."
18"They were smooth."
19"She looked down the tunnel"
ratio0.289
38.95% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount64
totalSentences76
matches
0"The platform was damp, slick"
1"Detective Harlow Quinn stood at"
2"The air smelled of rust,"
3"She glanced at her watch."
4"The leather strap groaned against"
5"A body lay sprawled on"
6"The forensic team huddled nearby,"
7"Quinn descended slowly, her gait"
8"Her eyes scanned the walls"
9"Quinn didn’t flinch."
10"She kept walking."
11"The officer blinked."
12"She stepped over the tape,"
13"The man was pale, eyes"
14"His chest was caved in,"
15"The ribs had been splayed"
16"The tracks beneath him were"
17"She pulled her gloves on"
18"She rose, circled the body."
19"Her gaze caught on a"
ratio0.842
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences76
matches(empty)
ratio0
18.63% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences23
technicalSentenceCount4
matches
0"The platform was damp, slick with condensation that dripped from cracked tiles like slow, steady tears."
1"The forensic team huddled nearby, their flashlights flickering as if the electricity resisted them."
2"Her eyes scanned the walls first — fractured ceramic tiles, graffiti in no language she recognized, symbols that seemed to shift if stared at too long."
3"The face bore markings she didn’t recognize — tight, angular sigils that seemed to vibrate under light."
75.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags10
uselessAdditionCount1
matches
0"Quinn said, voice low"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags10
fancyCount1
fancyTags
0"Eva agreed (agree)"
dialogueSentences37
tagDensity0.27
leniency0.541
rawRatio0.1
effectiveRatio0.054
71.6914%