Run: 2026-07-25-01KYD6X50CH2R1J2E53G88CA0Z

Run Details

Duration:
9.4s
Cost:
$0.000247
Provider:
Poolside

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 sign of The Raven's Nest hummed its familiar tune as Aurora Carter pushed through the heavy oak door, her delivery bag slung over one shoulder. The scent of aged whiskey and old wood wrapped around her like a memory, sharp and familiar. She’d passed this place a hundred times since moving into the flat above it, but tonight, something made her pause. The dim lighting caught the scar on her left wrist—still a pale crescent, still a reminder of the childhood accident she’d tried to forget. “Evening,” she said, approaching the counter where Silas Blackwood sat, one hand resting on a chipped marble surface. His silhouette was unmistakable: the way his auburn hair caught the low light, the slight curve of his beard, the silver ring glinting on his right hand. He looked up, and the corner of his mouth twitched—not quite a smile, but something close. “Aurora.” His voice was gravel and smoke, the same as always. “What brings you to my neck of the woods?” She set the bag down with a soft thud. “Golden Empress order. Extra chili. Just like you like it.” He nodded, already reaching for a glass. “Always was particular about your cooking, even when you were just delivering it.” She shifted uncomfortably, fingers tracing the rim of her water glass. “Still am.” The bell above the door chimed again. A young man in a leather jacket slipped in, nodding at Silas before taking a stool at the far end of the bar. The space between them felt heavier now, the years stretching like a taut wire. “You never told me you were still working there,” Silas said, sliding a glass toward her. “Or that you were living above this place.” “I moved back,” she said flatly. “After… after things with Evan got bad.” Silas’s fingers stilled on the glass. “Ah.” It wasn’t a question. It was a door closing, or maybe opening. Aurora rubbed her wrists, the scar catching the light. “You remember that, don’t you? The scar. From the swing set when I was nine.” “How could I forget?” He set the glass down, his hazel eyes narrowing slightly. “You used to pinch my earlobe whenever you wanted attention. Now look at you—delivery girl, flat above my bar, still playing it cool.” “That’s not—” She cut herself off, then harder. “I didn’t want to see you. Not really. Not after…” “After what?” “After you knew about Evan.” The words hung there, sharp as broken glass. Silas leaned back, his knee creaking faintly. The old injury, the one that had kept him from a mission in Prague, the one that had ended his career. He’d known about Evan—or rather, he’d suspected. Hadn’t said anything, hadn’t pressed. Just watched from the shadows as she packed her bags and left Cardiff without looking back. “You never called,” he said. “I didn’t want to burden you.” “Bullshit.” She flinched. “What?” “You think I don’t know you? Still think you’re some fragile thing that needs protecting?” His voice was softer now, worn thin at the edges. “You came back here because you’re tired, Rory. Tired of pretending you don’t need people.” The nickname caught her off guard. She’d assumed he’d moved on, that the old references were just stories now. But here he was, using it like a glove. “I’m not—” “Look at me.” He pushed his chair back, standing. The movement was fluid, despite the limp. “You’re still wearing that stupid scar. Still think it means something.” She lifted her sleeve, revealing the pale line on her wrist. “It’s just skin.” “No,” he said, stepping closer. “It’s proof you survived.” The space between them collapsed into silence. Outside, the city pulsed with its usual chaos—sirens, laughter, voices. Inside, the bar felt like a tomb, the photographs on the walls watching with hollow eyes. “You could’ve stayed,” she whispered. “I could’ve also let you get killed.” “That’s not fair.” “Isn’t it?” He laughed, low and bitter. “I was supposed to be the one who protected you. Instead, I let you walk into a storm.” She looked away, focusing on the condensation on his glass. “I don’t remember much from that time. Just… fragments. The way he’d grab you, the way he’d disappear for hours.” “I heard him scream once,” he said. “In the alley behind the pub. You were inside, pretending not to hear.” Memory or imagination, she couldn’t tell anymore. But something in his tone made her shiver. “Why are you telling me this?” “Because you’re here. Because you’re still here.” She turned to face him, searching his features. The maps on the walls, the black-and-white photos—all of them ghosts. “What do you want from me?” “Nothing,” he said. “Just… don’t disappear again.” The words were a knife twist. She wanted to argue, to point out how easy it was for him to say that, how much he’d abandoned her in more ways than one. But the truth was, she’d never fully recovered from that period—never stopped wondering if she’d been foolish to leave, foolish to trust him with her past. “You don’t know what it was like,” she said. “I know you came back,” he said. “That’s enough.” The bell chimed again. The young man at the bar called out something to the bartender. Life, moving on. Aurora wiped her hands on her jeans, the scar burning faintly. “I should go,” she said. “Where?” “Home.” He studied her, then nodded. “Home.” She paused at the door, glancing back. “You ever regret it?” “Regret what?” “Leaving.” For a long moment, he said nothing. Then: “Sometimes the ghosts catch up.” She stepped into the night, the green neon sign flickering behind her. The scar on her wrist pulsed, a tiny rebellion against the dark.
created_at"2026-07-25T17:59:25.971Z" 7/25/2026, 5:59:25 PM
model"poolside/laguna-xs-2.1-20260625"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency64
moderation_latency(null)
generation_time7827
tokens_prompt1063
tokens_completion2000
native_tokens_prompt1065
native_tokens_completion1794
native_tokens_completion_images(null)
native_tokens_reasoning419
native_tokens_cached1056
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)
usage0.0002475
router(null)
provider_responses
0
endpoint_id"089ec178-f6dc-4450-aff5-46f68798ce97"
id"chatcmpl-742f6ac0fe6c43cfadf524686b85144a"
is_byokfalse
latency64
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))"
http_referer(null)
request_id"req-1785002365-JaVdQvRryoieCXHCiLPs"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1785002365-M2Qwr6EaXhyr2PuFdqPg"
upstream_id"chatcmpl-742f6ac0fe6c43cfadf524686b85144a"
total_cost0.0002475
cache_discount0.0000528
upstream_inference_cost0
provider_name"Poolside"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags15
adverbTagCount1
adverbTags
0"she said flatly [flatly]"
dialogueSentences54
tagDensity0.278
leniency0.556
rawRatio0.067
effectiveRatio0.037
89.66% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount967
totalAiIsmAdverbs2
found
0
adverb"slightly"
count1
1
adverb"really"
count1
highlights
0"slightly"
1"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)
53.46% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount967
totalAiIsms9
found
0
word"familiar"
count2
1
word"reminder"
count1
2
word"marble"
count1
3
word"glinting"
count1
4
word"tracing"
count1
5
word"silence"
count1
6
word"pulsed"
count2
highlights
0"familiar"
1"reminder"
2"marble"
3"glinting"
4"tracing"
5"silence"
6"pulsed"
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
narrationSentences66
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences66
filterMatches(empty)
hedgeMatches
0"tried to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences102
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen28
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords960
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions17
unquotedAttributions1
matches
0"For a long moment, he said nothing."
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions16
wordCount643
uniqueNames10
maxNameDensity0.78
worstName"Silas"
maxWindowNameDensity2.5
worstWindowName"Silas"
discoveredNames
Raven1
Nest1
Aurora3
Carter1
Silas5
Blackwood1
Prague1
Evan1
Cardiff1
Memory1
persons
0"Raven"
1"Nest"
2"Aurora"
3"Carter"
4"Silas"
5"Blackwood"
6"Evan"
places
0"Prague"
1"Cardiff"
globalScore1
windowScore0.833
47.96% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences49
glossingSentenceCount2
matches
0"not quite a smile, but something close"
1"felt like a tomb, the photographs on th"
95.83% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords1.042
wordCount960
matches
0"not quite a smile, but something close"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences102
matches
0"on, that the"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs51
mean18.82
std18.6
cv0.988
sampleLengths
089
161
220
319
420
513
644
724
813
97
1036
1137
1218
132
145
1564
165
176
181
193
2040
2128
222
2327
2414
259
2633
275
287
293
3025
3130
3220
3315
346
357
3625
377
3858
399
409
4130
425
431
441
456
4611
472
481
4913
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences66
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs122
matches
0"was, using"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount6
semicolonCount0
flaggedSentences6
totalSentences102
ratio0.059
matches
0"The dim lighting caught the scar on her left wrist—still a pale crescent, still a reminder of the childhood accident she’d tried to forget."
1"He looked up, and the corner of his mouth twitched—not quite a smile, but something close."
2"He’d known about Evan—or rather, he’d suspected."
3"Outside, the city pulsed with its usual chaos—sirens, laughter, voices."
4"The maps on the walls, the black-and-white photos—all of them ghosts."
5"But the truth was, she’d never fully recovered from that period—never stopped wondering if she’d been foolish to leave, foolish to trust him with her past."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount651
adjectiveStacks0
stackExamples(empty)
adverbCount24
adverbRatio0.03686635944700461
lyAdverbCount6
lyAdverbRatio0.009216589861751152
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences102
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences102
mean9.41
std6.58
cv0.699
sampleLengths
028
117
220
324
418
527
616
711
89
99
1010
117
1213
1311
142
157
1623
1714
1816
198
206
217
226
231
244
258
269
2715
2814
2923
308
3110
322
335
348
357
3621
377
385
3916
405
416
421
432
441
4525
4615
476
4813
499
61.11% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.4019607843137255
totalSentences102
uniqueOpeners41
58.48% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences57
matches
0"Just watched from the shadows"
ratio0.018
37.54% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount26
totalSentences57
matches
0"She’d passed this place a"
1"she said, approaching the counter"
2"His silhouette was unmistakable: the"
3"He looked up, and the"
4"His voice was gravel and"
5"She set the bag down"
6"He nodded, already reaching for"
7"She shifted uncomfortably, fingers tracing"
8"she said flatly"
9"It wasn’t a question."
10"It was a door closing,"
11"He set the glass down,"
12"She cut herself off, then"
13"He’d known about Evan—or rather,"
14"His voice was softer now,"
15"She’d assumed he’d moved on,"
16"He pushed his chair back,"
17"She lifted her sleeve, revealing"
18"he said, stepping closer"
19"He laughed, low and bitter"
ratio0.456
30.18% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount49
totalSentences57
matches
0"The green neon sign of"
1"The scent of aged whiskey"
2"She’d passed this place a"
3"The dim lighting caught the"
4"she said, approaching the counter"
5"His silhouette was unmistakable: the"
6"He looked up, and the"
7"His voice was gravel and"
8"She set the bag down"
9"He nodded, already reaching for"
10"She shifted uncomfortably, fingers tracing"
11"The bell above the door"
12"A young man in a"
13"The space between them felt"
14"Silas said, sliding a glass"
15"she said flatly"
16"Silas’s fingers stilled on the"
17"It wasn’t a question."
18"It was a door closing,"
19"Aurora rubbed her wrists, the"
ratio0.86
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences57
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences23
technicalSentenceCount0
matches(empty)
91.67% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags15
uselessAdditionCount1
matches
0"He set, his hazel eyes narrowing slightly"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags12
fancyCount2
fancyTags
0"she whispered (whisper)"
1"He laughed (laugh)"
dialogueSentences54
tagDensity0.222
leniency0.444
rawRatio0.167
effectiveRatio0.074
81.6409%