Run: 2026-02-19-01KHTX2PXDTFVHR5607CMYWPGJ

Run Details

Duration:
22.8s
Cost:
$0.011231
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="4412" name="Aurora Carter" aliases="Rory, Laila, Aurora, Carter, Malphora" pronouns="she/her" species="Human" storyRole="Protagonist"> <eyeColor>bright blue</eyeColor> <hair>straight shoulder-length black</hair> <height>5'6"</height> <age>25</age> <scar>small crescent-shaped scar on her left wrist from a childhood accident</scar> <description>Aurora, referred to by her friends as Rory, is cool-headed, intelligent, and known for quick out-of-the-box thinking.</description> <backstory>Born in Cardiff to an Irish barrister father (Brendan Carter) and Welsh teacher mother (Jennifer Carter née Ellis), Rory reluctantly pursued Pre-Law at Cardiff University. She fled to London at the behest of her childhood friend Eva after leaving an abusive ex named Evan. By day, Rory works part-time as a delivery person for Yu-Fei Cheung's Golden Empress restaurant. She lives in a flat above Silas' bar.</backstory> </character> <character id="4413" name="Silas Blackwood" aliases="Silas, Si, the Spymaster" pronouns="he/him" species="Human" storyRole="Mentor"> <eyeColor>hazel</eyeColor> <hair>grey-streaked auburn</hair> <height>6'1"</height> <age>58</age> <beard>neatly trimmed, matching his grey-streaked auburn hair</beard> <limp>slight limp in his left leg from an old knee injury</limp> <signetRing>silver signet ring, always worn on his right hand</signetRing> <description>Silas is a retired intelligence operative turned bar owner. He carries himself with quiet authority.</description> <backstory>Former MI6 field agent who retired after a botched operation in Prague left him with a permanent knee injury. He opened "The Raven's Nest" bar in Soho as a front for his network of contacts.</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> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the literary fiction genre. Two old friends who haven't seen each other in years run into each other unexpectedly at a bar. One of them has changed significantly. Through their conversation and the tension between who they were and who they've become, reveal the weight of time and unspoken regret. 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 green neon of The Raven’s Nest buzzed faintly against the damp pavement, casting a sickly glow over the slick cobbles of the Soho alley. Rain had fallen in steady sheets all evening, and the air smelled of wet wool and old cigarettes. Aurora shoved the heavy oak door open, her black coat damp at the shoulders, her breath tight from climbing the three flights to her flat above the bar. She hadn’t meant to go in—but the lights were on, a rare sight this late, and something tugged at her, a low hum beneath her ribs. The bar was nearly empty. A single figure sat near the back, shoulders squared to the wall, one hand wrapped around a tumbler of amber liquid. Silas stood behind the bar, polishing a glass with the same slow, deliberate motion he’d had for years—like he was sanding down time itself. She stepped inside, shook the moisture from her sleeves. “Still open?” Silas glanced up. His hazel eyes took her in—her sharp cheekbones slick with rain, the faint shadow under her eyes, the way she held her left wrist instinctively when tired. “You live here,” he said. “You don’t need permission.” “Force of habit.” She unbuttoned her coat, draping it over the back of a stool. “Didn’t expect anyone. Thought you’d turned in.” “Old habits die harder than people,” Silas said, setting the glass down. “You look like you’ve been running.” “Delivery run. Rain turned into a downpour near Bayswater. Had to shield the dumplings like they were state secrets.” She managed a smirk, but it didn’t reach her eyes. He poured her a ginger tea from the pot warming behind the till, no sugar. He remembered. She turned toward the back of the bar, and that’s when she saw him. The man at the corner table looked up. His hair was shorter, bleached at the ends like it had spent years in the sun. A jagged scar ran from his temple down to his jaw, half-hidden by stubble. But his eyes—pale green, wide-set, always a little too knowing—froze her mid-step. “Evan.” He smiled. Not warm. Not cruel. Just… familiar. The kind of smile that knew the exact shape of your silence. “Aurora Carter. Or do you go by Rory now?” Her breath hitched, but her voice stayed level. “I never went by anything else.” He gestured to the seat across from him. “Sit. I’ll buy you a drink. Or… tea, I suppose.” He nodded toward the steaming cup in her hands. She didn’t move. Silas placed a hand on the bar, light but firm. “You know him?” Aurora didn’t look at Silas. “Yeah. We go way back.” Her voice clipped, careful. Evan chuckled. “Way back. That’s one way to put it.” He took a sip of his drink. “You look different. Calmer. Less fire.” “You look like you fought a war and lost the map.” That made him laugh—short, sharp. “Fair.” She turned to Silas. “I need a minute.” He gave a single nod, then disappeared into the storeroom, the door clicking shut behind him. Aurora slid into the booth. The leather creaked beneath her. Rain streaked the window behind Evan, blurring the red glow of a passing taxi. “You’re in London,” she said. “Passing through.” He rolled the glass between his palms. “Work took me to Belgrade. Came up for a meeting. Thought I’d see if the city still tasted like regret.” “And it does.” “More than ever.” Silence pooled between them, thick and laced with things they both knew but would never name. She studied him—the new lines around his eyes, the way his left hand trembled slightly when he set the glass down. The Evan she’d known had never shaken. “You left without saying goodbye,” he said finally. “I left because I was still breathing.” Her voice stayed low, even. “I didn’t owe you a farewell speech.” “You could’ve told someone. Eva. Me.” “You *were* someone, Evan. That was the problem.” He flinched. Not much. Just a twitch at the corner of his mouth. “I was never—“ “Stop.” She leaned forward, elbows on the table. “Don’t say you were never violent. Don’t say you didn’t mean it. I know what I lived through. I know what it felt like to lie awake listening to your footsteps on the stairs, wondering if tonight was the night you’d come back with a belt or a fist or a lie that hurt worse than both.” He stared at her. The scar on his face looked fresh in the dim light. “I wasn’t a good man,” he said. “I know that now.” “Now?” “Prague. Two years ago. I was working security for a contractor—private outfit, no oversight. Got caught in an op that went sideways. Woke up in a hospital with a cracked skull and a man’s blood on my boots I didn’t remember putting there.” He pressed his thumb to the scar. “They said I tried to stop it. That I turned on my own team. Maybe I did. Maybe I didn’t. Memory’s a hole now. But I remember enough to know I was never the hero I thought I was.” Aurora said nothing. Her fingers brushed the crescent scar on her wrist—old reflex. “You changed,” he said. “You used to bite your lip when you were angry. Now you don’t react at all.” “I learned not to.” “I used to scare you.” “You still do.” He looked away. Outside, the rain slowed. A bus hissed past on the wet street. “I’m not him anymore,” Evan said. “You don’t get to decide that,” she replied. “I do. And I’m not convinced.” He let that hang. Then: “Why’d you become a delivery rider?” “Because it keeps me moving,” she said. “Because I don’t have to talk to people. Because the route maps don’t lie.” “You were going to be a barrister.” “I was going to be what my father wanted. What you wanted. What everyone thought a quiet girl from Cardiff should be.” Her voice sharpened. “I wanted to breathe. I wanted to walk down the street without calculating escape routes. I wanted to not know what a chokehold feels like when it’s applied slowly, like a question.” Evan closed his eyes. When he opened them, his gaze was raw. “I’d give anything to take it back.” “You can’t.” “No. But I can stand in bars and watch the woman I destroyed order ginger tea like it’s a miracle she’s alive.” She exhaled. The anger had burnt clean, leaving only fatigue. “You didn’t destroy me.” “You left with nothing.” “I left with everything that mattered.” Footsteps. Silas reappeared, slower than before, the limp more pronounced. He placed a small file on the bar—dark blue cover, no label. Looked at Aurora. Then at Evan. “Didn’t expect to see you again,” Silas said. Evan tilted his head. “Still in the business, Si?” “Retired.” “Retired people don’t keep dossiers on former intelligence assets.” Silas didn’t deny it. Aurora looked between them. “You know each other?” Silas met her gaze. “We cross paths. Long time ago.” Evan smirked, but it was tired. “He tried to recruit me. I said no. Too honest for my taste.” “And now?” Silas asked. “Now I’m looking for a second chance. Or maybe just absolution. Doesn’t matter. No one’s handing it out.” Silence again. The clock behind the bar ticked. Aurora stood. “I’m done.” Evan didn’t move. “Rory.” She paused. “I’m sorry,” he said. “Not because it fixes anything. But because you should’ve heard it.” She looked at him—really looked. Not at the scar, not at the memories. At the man who was no longer a monster, but wasn’t yet anything else. “Keep your apology,” she said. “Spend it on being someone else.”
created_at"2026-02-19T12:13:00.727Z" 2/19/2026, 12:13:00 PM
model"writer/palmyra-x5-20250428"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency399
moderation_latency123
generation_time22440
tokens_prompt1094
tokens_completion2076
native_tokens_prompt1009
native_tokens_completion1771
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"
usage0.0112314
router(null)
provider_responses
0
endpoint_id"c684c4e7-1b77-4ca5-9516-7ecc66e2c455"
is_byokfalse
latency399
model_permaslug"writer/palmyra-x5-20250428"
provider_name"Amazon Bedrock"
status200
api_type"completions"
id"gen-1771503180-pdWBnU7XXUKAWEnsTKEs"
upstream_id(null)
total_cost0.0112314
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
totalTags23
adverbTagCount1
adverbTags
0"he said finally [finally]"
dialogueSentences72
tagDensity0.319
leniency0.639
rawRatio0.043
effectiveRatio0.028
88.49% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1303
totalAiIsmAdverbs3
found
0
adverb"slightly"
count1
1
adverb"slowly"
count1
2
adverb"really"
count1
highlights
0"slightly"
1"slowly"
2"really"
100.00% AI-ism character names
Target: 0 AI-default names (16 tracked, −20% each)
codexExemptions
0"Blackwood"
found(empty)
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
69.30% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1303
totalAiIsms8
found
0
word"familiar"
count1
1
word"silence"
count3
2
word"trembled"
count1
3
word"footsteps"
count2
4
word"calculating"
count1
highlights
0"familiar"
1"silence"
2"trembled"
3"footsteps"
4"calculating"
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
narrationSentences95
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences95
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences143
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen57
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords1
totalWords1290
ratio0.001
matches
0"were"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions21
unquotedAttributions0
matches(empty)
50.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions32
wordCount693
uniqueNames7
maxNameDensity1.59
worstName"Silas"
maxWindowNameDensity3.5
worstWindowName"Evan"
discoveredNames
Raven1
Nest1
Soho1
Silas11
Evan9
Silence2
Aurora7
persons
0"Raven"
1"Nest"
2"Silas"
3"Evan"
4"Silence"
5"Aurora"
places
0"Soho"
globalScore0.706
windowScore0.5
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
wordCount1290
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences143
matches
0"let that hang"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs77
mean16.75
std18
cv1.074
sampleLengths
097
150
211
339
422
518
629
717
814
950
101
1120
129
1314
1427
153
1613
1714
1823
1911
206
218
2216
2324
245
2529
263
273
2844
298
3019
316
328
3316
3465
3515
3611
371
3889
3913
4020
414
425
433
443
4512
466
4714
4811
4921
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences95
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs130
matches
0"was sanding"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount10
semicolonCount0
flaggedSentences9
totalSentences143
ratio0.063
matches
0"She hadn’t meant to go in—but the lights were on, a rare sight this late, and something tugged at her, a low hum beneath her ribs."
1"Silas stood behind the bar, polishing a glass with the same slow, deliberate motion he’d had for years—like he was sanding down time itself."
2"His hazel eyes took her in—her sharp cheekbones slick with rain, the faint shadow under her eyes, the way she held her left wrist instinctively when tired."
3"But his eyes—pale green, wide-set, always a little too knowing—froze her mid-step."
4"That made him laugh—short, sharp."
5"She studied him—the new lines around his eyes, the way his left hand trembled slightly when he set the glass down."
6"Her fingers brushed the crescent scar on her wrist—old reflex."
7"He placed a small file on the bar—dark blue cover, no label."
8"She looked at him—really looked."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount842
adjectiveStacks1
stackExamples
0"same slow, deliberate motion"
adverbCount20
adverbRatio0.023752969121140142
lyAdverbCount7
lyAdverbRatio0.00831353919239905
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences143
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences143
mean9.02
std8.89
cv0.985
sampleLengths
025
118
228
326
45
521
624
79
82
93
1027
115
124
1315
147
1512
166
1729
1815
192
2014
218
2216
2314
2412
251
262
272
282
291
301
3112
329
338
346
358
3619
373
3810
393
405
419
422
4315
446
4511
465
471
484
494
48.02% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats13
diversityRatio0.34265734265734266
totalSentences143
uniqueOpeners49
96.62% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences69
matches
0"Just a twitch at the"
1"Then at Evan."
ratio0.029
51.88% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount29
totalSentences69
matches
0"She hadn’t meant to go"
1"She stepped inside, shook the"
2"His hazel eyes took her"
3"She unbuttoned her coat, draping"
4"She managed a smirk, but"
5"He poured her a ginger"
6"She turned toward the back"
7"His hair was shorter, bleached"
8"Her breath hitched, but her"
9"He gestured to the seat"
10"He nodded toward the steaming"
11"She didn’t move."
12"Her voice clipped, careful"
13"He took a sip of"
14"She turned to Silas."
15"He gave a single nod,"
16"He rolled the glass between"
17"She studied him—the new lines"
18"he said finally"
19"Her voice stayed low, even"
ratio0.42
17.97% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount61
totalSentences69
matches
0"The green neon of The"
1"Rain had fallen in steady"
2"Aurora shoved the heavy oak"
3"She hadn’t meant to go"
4"The bar was nearly empty."
5"A single figure sat near"
6"Silas stood behind the bar,"
7"She stepped inside, shook the"
8"Silas glanced up."
9"His hazel eyes took her"
10"She unbuttoned her coat, draping"
11"Silas said, setting the glass"
12"She managed a smirk, but"
13"He poured her a ginger"
14"She turned toward the back"
15"The man at the corner"
16"His hair was shorter, bleached"
17"A jagged scar ran from"
18"The kind of smile that"
19"Her breath hitched, but her"
ratio0.884
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences69
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences22
technicalSentenceCount1
matches
0"The kind of smile that knew the exact shape of your silence."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags23
uselessAdditionCount1
matches
0"Her voice clipped, careful"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags14
fancyCount1
fancyTags
0"He pressed (press)"
dialogueSentences72
tagDensity0.194
leniency0.389
rawRatio0.071
effectiveRatio0.028
83.8761%