Run: 2026-07-25-01KYD6R28E7RAY5MB1NHB4QQTN

Run Details

Duration:
13.8s
Cost:
$0.000253
Provider:
Poolside

Model input

System
You are an expert novelist with a gift for vivid, immersive prose. You write in tight third-person limited point of view with a strong narrative voice. Your prose is clean, precise, and engaging — you favor strong verbs, concrete details, and natural-sounding dialogue. You will be given a story bible (codex) containing canonical details about characters, locations, items, and lore. Use these details to ground your writing in the established world. Stay consistent with the codex. Write only the prose of the scene. Do not include titles, chapter headings, markdown formatting, or any commentary before or after the scene.
User/Human
<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> 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.

Model response

AI
The amber glow of the bar’s single hanging lamp caught the edge of something familiar in the stranger sitting alone at the far end of the counter. Aurora Carter paused mid-step, her delivery bag settling onto her shoulder with a soft thud. She’d been working late—Golden Empress closed at nine, and the last delivery to a flat in Bloomsbury had taken longer than expected. The streets were slick from an early evening drizzle, and she’d ducked into The Raven's Nest for warmth, for the quiet hum of conversation, for the chance to sit without feeling like she was always running somewhere. Silas looked up from the map he was tracing with a fingertip, his hazel eyes catching the light. He nodded once—polite, routine. But when he looked away, something in his posture shifted, just slightly, like a compass needle twitching north. Aurora kept moving. She ordered a whiskey on the rocks from the bartender, a guy she’d never seen before, and waited. She liked this hour. The place was nearly empty, the kind of quiet that made voices feel heavier, thoughts louder. She perched on a stool at the bottom step of the staircase, close enough to overhear if someone spoke, but far enough from the action. That’s when she saw him again. He was standing by the bookshelf now, running his thumb along the spines of old paperbacks. When he turned, recognition flickered across his face like a struck match. Aurora felt her throat tighten. “Rory?” She didn’t answer right away. She was measuring the distance between them—the years, the silence, the unspoken things. He crossed the bar without waiting for the bartender to call out a price. “You left without saying goodbye,” he said, voice low. Not angry. Just disappointed. “I thought you didn’t want to see me.” “I didn’t say that.” He stopped just in front of her stool. Rainwater had darkened his hairline, and there were lines around his eyes she didn’t remember. Not new lines—old ones, just more of them. More weathered. More distant. “You look different,” she said. “So do you.” But it was he who looked changed. More than that—stripped down. She could see it in the way he held himself, in the way his hand lingered near his jacket pocket, in the slight tilt of his head, like he was always listening for something. Always waiting. “I’m not surprised,” she said. “You always saw things coming.” He laughed, but it didn’t reach his eyes. “I used to think I could change things,” he said. “Then I realized how much it cost.” Aurora studied him. The man who had once been her mentor, her confidant, the man who had taught her how to read people, how to disappear, how to survive—was now a stranger wearing familiar clothes and an old face. “You never told me about this part,” she said. “This part?” “The running. The lying. The pretending to be someone else every night.” She exhaled, sharp and bitter. “When did you stop being Silas Blackwood and start being just another ghost?” He didn’t answer right away. Instead, he pulled out a chair and sat. Not on the stool beside her, but across from her, close enough to see the small crescent-shaped scar on her left wrist. “You always were too good at reading people,” he said. “Maybe that’s why I got away.” The words hung in the air, heavy with something they both knew but wouldn’t name. “How long have you been watching me?” she asked. “Since you walked in.” “Then you know I don’t like being watched.” “I know.” She looked down at her hands. “Eva said to come here. Said you might still be around.” “She’s right.” “And you let her talk me into it.” “I didn’t let her. She made me.” A long silence. The bartender passed by, refilling glasses. The green neon sign outside cast a faint emerald hue across the worn wooden floor. “What happened to you?” she asked. “I asked myself the same thing every morning for the last twenty years.” “You never called.” “I tried once. Left a message. You never returned it.” “Where were you supposed to go?” she said, voice rising just a fraction. “To a country where I didn’t exist? To a life where I couldn’t reach you?” “I thought if I disappeared, you’d forget.” “That’s not forgetting. That’s abandoning.” He flinched like she’d struck him. “I didn’t abandon you, Rory. I protected you.” “From what? My own life?” “From me.” She stood up slowly, leaning against the counter for balance. “You taught me how to disappear. How to become nothing so that nothing could find me. But you never taught me how to come back.” “I’m here now.” “Are you? Or are you just another version of the past—polite, distant, full of things left unsaid?” He reached into his jacket pocket, pulled out a folded piece of paper, and placed it on the counter. “It’s not what you think.” She picked it up. Her name was scrawled in handwriting she almost didn’t recognize—familiar, but older, rougher. Aurora stared at it. Then at him. “What is this?” “An address. Fifth floor, flat 5B, Camden. My sister’s. She never knew about the work. Never knew about any of it. I wanted you to have it.” “Why?” “Because you’re not who you pretend to be, Rory. None of us are.” She looked at him then, really looked, searching his face for the boy she’d once known—the one who’d stayed over at her place after university, who’d helped her pack when she fled London, who’d promised he’d always be there. “You never told me about Elena,” she said. “I didn’t want to drag you into it.” “You never told me anything.” “I was afraid.” “Of what?” “Of hurting you.” She let the paper slip from her fingers. It fluttered to the floor like a fallen bird. “You were always afraid,” she whispered. “I was trying to protect you.” “From what? The truth?” He nodded, his silver signet ring catching the light. “I was going to call you. I just… kept putting it off.” “For how long?” “Since the day you left.” She closed her eyes, fighting back something tight in her chest—anger? Grief? Relief? “Why now?” she asked. “Because they found her.” “Who?” “The people you used to work for. They’re not interested in me anymore. But they remember you. They remember what you did in Prague.” Aurora’s breath caught. “You’re lying.” “I have papers. Photos. Records. They want you to come see them. To confirm something. Something about a leak.” She backed away, slowly. “Let me go back to my life,” she said. “You can’t.” “Yes, I can. I’ve been doing it for years.” “You don’t want to. You want to run back to the person you used to be. To the life you left behind.” “I left because I had to.” “And I left because I thought you needed space.” She turned, walked to the door, paused. “If I go back, if I see them again… it’s not because of you. It’s because of me.” He stood, watching her move. “Would you come back?” she asked, not turning. “Would I ever leave?” Outside, the rain had stopped. The streets were washed clean, reflecting the green glow of the sign. Inside, the silence stretched between them, full of everything they’d lost, everything they’d survived, and everything they might still find.
created_at"2026-07-25T17:56:39.318Z" 7/25/2026, 5:56:39 PM
model"poolside/laguna-xs-2.1-20260625"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency99
moderation_latency(null)
generation_time12751
tokens_prompt846
tokens_completion1961
native_tokens_prompt877
native_tokens_completion1768
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached400
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
service_tier(null)
usage0.00025278
router(null)
provider_responses
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endpoint_id"089ec178-f6dc-4450-aff5-46f68798ce97"
id"chatcmpl-4ba51e28b07649a89250f80848c5858e"
is_byokfalse
latency98
model_permaslug"poolside/laguna-xs-2.1-20260625"
provider_name"Poolside"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
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request_id"req-1785002199-85E5lNCyDY4dxQAd2yBn"
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api_type"completions"
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upstream_id"chatcmpl-4ba51e28b07649a89250f80848c5858e"
total_cost0.00025278
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provider_name"Poolside"
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data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags15
adverbTagCount0
adverbTags(empty)
dialogueSentences70
tagDensity0.214
leniency0.429
rawRatio0
effectiveRatio0
83.95% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1246
totalAiIsmAdverbs4
found
0
adverb"slightly"
count1
1
adverb"slowly"
count2
2
adverb"really"
count1
highlights
0"slightly"
1"slowly"
2"really"
80.00% AI-ism character names
Target: 0 AI-default names (16 tracked, −20% each)
codexExemptions
0"Blackwood"
found
0"Elena"
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
55.86% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1246
totalAiIsms11
found
0
word"familiar"
count3
1
word"warmth"
count1
2
word"tracing"
count1
3
word"flickered"
count1
4
word"silence"
count3
5
word"unspoken"
count1
6
word"fluttered"
count1
highlights
0"familiar"
1"warmth"
2"tracing"
3"flickered"
4"silence"
5"unspoken"
6"fluttered"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"hung in the air"
count1
highlights
0"hung in the air"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences77
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences77
filterMatches
0"feel"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences132
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen40
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1236
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions27
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions13
wordCount726
uniqueNames8
maxNameDensity0.83
worstName"Aurora"
maxWindowNameDensity1
worstWindowName"Aurora"
discoveredNames
Carter1
Golden1
Empress1
Bloomsbury1
Raven1
Nest1
Aurora6
London1
persons
0"Carter"
1"Empress"
2"Aurora"
places
0"Raven"
1"London"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences40
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.809
wordCount1236
matches
0"Not on the stool beside her, but across from her, close enough to see the small crescent-shap"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences132
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs93
mean13.29
std15.15
cv1.14
sampleLengths
0101
140
266
36
433
51
632
713
88
94
1035
115
123
1347
1410
158
1617
1739
189
192
2030
2135
2210
236
2415
259
264
278
282
2917
302
318
327
3324
346
3513
363
3710
3828
397
405
416
428
435
442
4510
4625
473
4817
4919
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences77
matches
0"was scrawled"
0.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount5
totalVerbs144
matches
0"was always running"
1"was tracing"
2"was standing"
3"was measuring"
4"was always listening"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount9
semicolonCount0
flaggedSentences9
totalSentences132
ratio0.068
matches
0"She’d been working late—Golden Empress closed at nine, and the last delivery to a flat in Bloomsbury had taken longer than expected."
1"He nodded once—polite, routine."
2"She was measuring the distance between them—the years, the silence, the unspoken things."
3"Not new lines—old ones, just more of them."
4"More than that—stripped down."
5"The man who had once been her mentor, her confidant, the man who had taught her how to read people, how to disappear, how to survive—was now a stranger wearing familiar clothes and an old face."
6"Her name was scrawled in handwriting she almost didn’t recognize—familiar, but older, rougher."
7"She looked at him then, really looked, searching his face for the boy she’d once known—the one who’d stayed over at her place after university, who’d helped her pack when she fled London, who’d promised he’d always be there."
8"She closed her eyes, fighting back something tight in her chest—anger?"
82.70% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount737
adjectiveStacks1
stackExamples
0"small crescent-shaped scar"
adverbCount39
adverbRatio0.052917232021709636
lyAdverbCount6
lyAdverbRatio0.008141112618724558
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences132
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences132
mean9.36
std7.83
cv0.836
sampleLengths
027
115
222
337
418
54
618
73
818
94
1016
1125
126
1316
1412
155
161
175
1813
1914
209
212
222
238
244
258
2615
278
282
292
305
313
327
334
3434
352
365
375
388
3910
407
413
4236
439
442
4517
4613
475
488
4922
53.28% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.3560606060606061
totalSentences132
uniqueOpeners47
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences59
matches
0"More than that—stripped down."
1"Instead, he pulled out a"
2"Then at him."
ratio0.051
9.83% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount31
totalSentences59
matches
0"She’d been working late—Golden Empress"
1"He nodded once—polite, routine."
2"She ordered a whiskey on"
3"She liked this hour."
4"She perched on a stool"
5"He was standing by the"
6"She didn’t answer right away."
7"She was measuring the distance"
8"He crossed the bar without"
9"he said, voice low"
10"He stopped just in front"
11"She could see it in"
12"He laughed, but it didn’t"
13"She exhaled, sharp and bitter"
14"He didn’t answer right away."
15"She looked down at her"
16"she said, voice rising just"
17"He flinched like she’d struck"
18"She stood up slowly, leaning"
19"He reached into his jacket"
ratio0.525
44.75% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount49
totalSentences59
matches
0"The amber glow of the"
1"Aurora Carter paused mid-step, her"
2"She’d been working late—Golden Empress"
3"The streets were slick from"
4"Silas looked up from the"
5"He nodded once—polite, routine."
6"Aurora kept moving."
7"She ordered a whiskey on"
8"She liked this hour."
9"The place was nearly empty,"
10"She perched on a stool"
11"That’s when she saw him"
12"He was standing by the"
13"Aurora felt her throat tighten."
14"She didn’t answer right away."
15"She was measuring the distance"
16"He crossed the bar without"
17"he said, voice low"
18"He stopped just in front"
19"Rainwater had darkened his hairline,"
ratio0.831
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences59
matches(empty)
ratio0
87.91% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences26
technicalSentenceCount2
matches
0"The man who had once been her mentor, her confidant, the man who had taught her how to read people, how to disappear, how to survive—was now a stranger wearing …"
1"She looked at him then, really looked, searching his face for the boy she’d once known—the one who’d stayed over at her place after university, who’d helped her…"
25.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags15
uselessAdditionCount3
matches
0"he said, voice low"
1"she said, voice rising just a fraction"
2"she asked, not turning"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags14
fancyCount1
fancyTags
0"she whispered (whisper)"
dialogueSentences70
tagDensity0.2
leniency0.4
rawRatio0.071
effectiveRatio0.029
77.4425%