Run: 2026-05-27-01KSMEE46B8ZBYVVQBGW8C1NQQ

Run Details

Duration:
15.1s
Cost:
$0.000886
Provider:
Parasail

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 green neon sign of The Raven's Nest glowed like a beacon in the Soho night as Aurora pushed open the heavy wooden door. It was a familiar haunt from her university days, pulsing with a comforting beat of jazz music that spilled into the smoky air. She scanned the dimly lit room, searching her childhood friend among the eclectic mix of regulars and loners huddled at the bar and in the worn leather booths. Rory's black pony tail hung like rope down the back of her shirt as she made her way past the bar and the well-worn cocktail tables. She was stopped in front of a compact bookshelf when she heard a voice call out. "Long time no see, Rory." Rory spun around, her eyes adjusting to the low light. There at the bar, his grey-streaked auburn hair gleaming, stood Silas Blackwood, older and more weathered than when she had last seen him five years ago. "Silas? I'll be damned." A wide smile spread across her face as she crossed the room, arms outstretched. They embraced, a bit awkwardly, the weight of lost years between them. So, you've found a place here. How's your...career been going?" Silas asked, eyebrow raised. He always had a knack for reading between the lines. Career? Rory thought, sarcastically. "Well, I suppose things have taken a turn since I was last here. My lawyer education has hardly been useful as a delivery cyclist, but it's a job." They sat at the bar near the dark window, Silas nursing a whisky on the rocks and Rory with a cider. The Pale blue eyes that once sparkled with eager play had lost their luster and now bore the shadows of unfulfilled dreams. She explained the tumultuous path that led her here, to this London pub. Him falling into a bar business, her leaving her boyfriend and moving to a flat above Silas' pub. "I was seeing red, the whole bloody lot of it. Wanted to run and hide from the world," Rory said, her knuckles going white as she clenched her jaw. "Cardiff sucks, mate. All the way round." She took a long swig of cider. Silas nodded slowly. He understood the torment of being back where you once were but lacking the pieces to make it all mean something again. They grew quiet, an old picture of Rory cheery and bright as ever, neon signs flooding out onto the street. Silas furrowed his brow, worry etched on his face. "Seems like we've been running the whole time, Rory. Have we gotten anywhere?" He polished off his glass. "See, the thing about running, is that you don't get anywhere until you stop. Since I've stopped, it's like things have just stacked up on me, not catching up." He adjusted his signet ring, his eyes tracing the bar's musty ornate hardwood. "How's indeed." Rory tilted her head, the scent of smoke enveloping the bar. "It seems like you've got an act down. Them's are some interesting acquaintances you've got." Silas smirked. "Is that so? Aye, they're both. I've never been one to get mixed up in matters out of my league." "I don't see how that has worked out for you, but it's your call. We've all got to find our own way, after all." They got up to leave, the tension in the air and in their conversations left them with a feeling of finality. As Rory pushed the pub's door open, the sound of a living room door prompted a shadow to folded out from the corner. Silas turned back to Rory. He knew, deep down, if indeed he had spoken too freely, he'd have to keep a watch out for any more shady visitors to his bar. He said nothing, just nodded to Rory as she waved goodbye and walked down the cobblestone street, lit by the neon sign.
created_at"2026-05-27T10:07:14.135Z" 5/27/2026, 10:07:14 AM
model"thedrummer/skyfall-36b-v2"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency193
moderation_latency(null)
generation_time14995
tokens_prompt867
tokens_completion912
native_tokens_prompt826
native_tokens_completion845
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached816
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)
usage0.0008855
router(null)
provider_responses
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endpoint_id"1eb01ded-ae11-49e6-8aa6-3067584070bd"
id"chatcmpl-9ef3d0736df7360a"
is_byokfalse
latency193
model_permaslug"thedrummer/skyfall-36b-v2"
provider_name"Parasail"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.15.0; linux; x64))"
http_referer(null)
request_id"req-1779876434-jO5ap81hGlUvz2U6aemD"
session_id(null)
api_type"completions"
id"gen-1779876434-SrXQpaERDBEi2oAEjG8J"
upstream_id"chatcmpl-9ef3d0736df7360a"
total_cost0.0008855
cache_discount0.0002448
upstream_inference_cost0
provider_name"Parasail"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
57.14% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags14
adverbTagCount2
adverbTags
0"Rory thought sarcastically. [sarcastically]"
1"My lawyer education has hardly [hardly]"
dialogueSentences19
tagDensity0.737
leniency1
rawRatio0.143
effectiveRatio0.143
92.26% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount646
totalAiIsmAdverbs1
found
0
adverb"slowly"
count1
highlights
0"slowly"
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)
14.86% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount646
totalAiIsms11
found
0
word"beacon"
count1
1
word"familiar"
count1
2
word"comforting"
count1
3
word"scanned"
count1
4
word"gleaming"
count1
5
word"weight"
count1
6
word"eyebrow"
count1
7
word"furrowed"
count1
8
word"etched"
count1
9
word"tracing"
count1
10
word"tension"
count1
highlights
0"beacon"
1"familiar"
2"comforting"
3"scanned"
4"gleaming"
5"weight"
6"eyebrow"
7"furrowed"
8"etched"
9"tracing"
10"tension"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"clenched jaw/fists"
count1
highlights
0"clenched her jaw"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences29
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences29
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences33
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen74
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords646
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
62.62% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions25
wordCount515
uniqueNames12
maxNameDensity1.75
worstName"Rory"
maxWindowNameDensity2.5
worstWindowName"Rory"
discoveredNames
Raven1
Nest1
Soho1
Aurora1
Silas6
Blackwood1
Career1
Rory9
Pale1
London1
Wanted1
Since1
persons
0"Raven"
1"Nest"
2"Aurora"
3"Silas"
4"Blackwood"
5"Rory"
places
0"Soho"
1"London"
globalScore0.626
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences23
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount646
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences33
matches(empty)
98.21% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs18
mean35.89
std17.72
cv0.494
sampleLengths
075
142
25
336
430
524
632
774
843
945
1027
1129
1215
1326
1422
1524
1644
1753
81.06% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences29
matches
0"was stopped"
1"get mixed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs85
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences33
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount328
adjectiveStacks0
stackExamples(empty)
adverbCount13
adverbRatio0.039634146341463415
lyAdverbCount3
lyAdverbRatio0.009146341463414634
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences33
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences33
mean19.58
std14.83
cv0.757
sampleLengths
024
123
228
326
416
55
610
726
818
912
106
1118
1217
1315
1474
1510
1622
1711
1845
1918
209
2114
2215
2315
2419
257
265
273
2814
2914
3010
3144
3253
93.94% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.6666666666666666
totalSentences33
uniqueOpeners22
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences28
matches(empty)
ratio0
62.86% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount11
totalSentences28
matches
0"It was a familiar haunt"
1"She scanned the dimly lit"
2"She was stopped in front"
3"They embraced, a bit awkwardly,"
4"My lawyer education has hardly"
5"They sat at the bar"
6"He adjusted his signet ring,"
7"Them's are some interesting acquaintances"
8"I've never been one to"
9"We've all got to find"
10"They got up to leave,"
ratio0.393
67.14% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount22
totalSentences28
matches
0"The green neon sign of"
1"It was a familiar haunt"
2"She scanned the dimly lit"
3"Rory's black pony tail hung"
4"She was stopped in front"
5"Rory spun around, her eyes"
6"There at the bar, his"
7"A wide smile spread across"
8"They embraced, a bit awkwardly,"
9"Career? Rory thought, sarcastically."
10"My lawyer education has hardly"
11"They sat at the bar"
12"All the way"
13"Silas nodded slowly. He understood"
14"Silas furrowed his brow, worry"
15"He adjusted his signet ring,"
16"Rory tilted her head, the"
17"Them's are some interesting acquaintances"
18"I've never been one to"
19"We've all got to find"
ratio0.786
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences28
matches(empty)
ratio0
77.92% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences11
technicalSentenceCount1
matches
0"It was a familiar haunt from her university days, pulsing with a comforting beat of jazz music that spilled into the smoky air."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags9
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
83.6007%