Run: 2026-04-25-01KQ2JGS00S4CCV6R8CDE720ZC

Run Details

Duration:
39.9s
Cost:
$0.000821
Provider:
DeepSeek

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 hummed low and steady, casting its emerald glow across the wet pavement. Silas Blackwood was polishing a glass that didn't need polishing, watching the ghost of his own reflection warp in the bulbous curve of the crystal. The Raven's Nest was quiet for a Thursday—a few regulars nursing pints at the corner, the soft crackle of Miles Davis from the old turntable behind the bar. He set the glass down and flexed his left knee, the familiar twinge a metronome for his thoughts. The door opened with a sigh of damp air. Silas looked up. The man who entered was thin in a way that suggested recent loss, his coat hanging loose on shoulders that had once been broad. He paused at the threshold, scanning the room with a wariness that Silas recognized—the kind that came from too many years of watching your back. Their eyes met. A flicker of recognition, then uncertainty. Silas tilted his head. He knew that jawline, the way the man held himself even now, pulled inward like a man expecting a blow. But the face belonged to someone else. Someone twenty years younger. “Thomas?” The name came out rough, a question he already knew the answer to. The man stepped forward, and the light caught the grey in his hair, the lines carved deep around his mouth. “Silas.” A pause. “You’re still standing.” There was no humor in it. Silas set down the towel and came around the bar, the limp more pronounced tonight, his knee protesting the cold. He stopped an arm’s length away and studied the man who had once been his partner. Thomas Carver used to have the kind of presence that filled a room—loud, confident, reckless. Now he looked like a photograph left too long in the sun. “It’s been a while,” Silas said. The understatement sat heavy between them. “Twelve years.” Thomas’s eyes dropped to Silas’s leg, then flicked away. “Prague still giving you trouble?” “It gives me character.” Silas gestured to a booth near the back, away from the few other patrons. “Sit. You look like you need a drink.” Thomas did not argue. He slid into the worn leather, his coat falling open to reveal a sweater that had seen better days. Silas limped behind the bar, poured two fingers of Laphroaig into a crystal tumbler—the good stuff, saved for moments like this—and brought it over with a second glass for himself. Thomas wrapped his hands around the glass without drinking. His knuckles were scarred, the nails chewed down. “I wasn’t sure you’d still be here.” “Where else would I be?” “Dead. Or in prison. Take your pick.” Thomas let out a breath that was almost a laugh. “You got out clean. I always admired that about you.” Silas took a sip of the whisky, let it burn its way down. “I didn’t get out clean, Tom. I got out lucky. There’s a difference.” Thomas finally drank. The amber liquid disappeared in two swallows. He set the glass down and stared at the empty bottom. “I’ve been thinking about those days a lot lately. The old crew. Jensen. Markov. Even that bastard Collins.” He looked up, and there was something raw in his eyes. “You ever wonder what happened to all of us?” “I know what happened to most of us.” Silas kept his voice level. “Collins retired to Cornwall and breeds terriers. Jensen died in ’09. Car accident in Bucharest. Markov—well, Markov is Markov. Probably running guns in some desert.” Thomas nodded slowly. “And me.” Silas didn’t answer. He didn’t need to. The difference between who Thomas had been and who sat before him was written in every hollow of his face. There had been a time when Thomas Carver could talk his way into any room, charm the secrets out of a stone, and still have energy left for a night of bad decisions. He had a laugh that could fill a corridor, a temper that could empty one. Now the laugh was gone, and the temper had been beaten down into something that looked a lot like surrender. “I saw Evan Morton last month,” Thomas said abruptly. Silas’s hand stilled on his glass. Evan Morton. The name was a splinter under his skin, one he’d thought he’d removed years ago. He said nothing. “He’s running a private security outfit out of Dubai. Has a wife, two kids. Drives a fucking Mercedes.” Thomas shook his head. “Do you remember what he did to that asset in Minsk? The girl?” “I remember.” Silas remembered too many things. That was the curse of his trade. “He got promoted. Fast-tracked. And we—” Thomas broke off, jaw tight. “We did what we were told, and we still ended up here. You with a limp and a bar. Me with—this.” He gestured at himself, a vague, bitter sweep of his hand. Silas leaned back. The booth creaked. The Miles Davis record had ended, and the needle was scratching softly in the run-out groove. He should get up, flip it, but the moment held him pinned. “You’re still alive,” Silas said quietly. “That counts for something.” “Does it?” Thomas’s voice cracked on the edges. “Because some days I’m not so sure. I wake up and I don’t know who I’m supposed to be anymore. I’m not the man who did those things, and I’m not the man who could have done something else. I’m just—stuck. In between.” Silas looked at him. Really looked. He saw the tremor in Thomas’s fingers, the way he avoided eye contact, the thousand small tells of a man who had been hollowed out by regret. Once, Silas would have had a strategy for this. A way to talk him down, build him up. That had been his job: to make broken things whole enough to function. But he was retired now. The tools had gone rusty. “You’re not stuck,” Silas said. “You’re just in a different place. We all are.” Thomas let out a sound that wasn’t quite a laugh. “That’s the problem. I don’t know how I got here. I don’t know when I stopped being the person I thought I was going to be.” The words hung in the air, dense as smoke. Silas thought about the silver signet ring on his right hand, the one he never took off. It had belonged to his father, who had been a postman in Bristol. A simple life, a straight line. Silas had spent forty years in the shadows, bending lines into knots, and now he polished glasses and listened to jazz and tried not to think about the things he’d done. “You don’t get to choose the person you become,” Silas said slowly. “You only get to choose what you do with who you are.” Thomas was quiet for a long moment. Then he reached into his coat and pulled out a worn photograph, creased and faded. He slid it across the table. Silas picked it up. It was the two of them, thirty years younger, standing on a rooftop in Budapest. The sun was setting behind them, and they were laughing at something—he couldn’t remember what. They’d both had their whole lives ahead of them. They’d both been sure they could handle whatever came. “I found this in an old jacket,” Thomas said. “I don’t know why I kept it. I don’t know why I came here tonight. I just—I needed to see someone who knew me before.” Silas handed the photograph back. His fingers brushed Thomas’s, and for a moment, the contact was a bridge across the years. “I know you, Tom. You’re still in there.” Thomas pocketed the photo and wiped his eyes with the back of his hand. “I don’t know if that’s a comfort or a curse.” They sat in silence while the needle lifted and the turntable clicked off. Silas pushed himself to his feet, favoring his knee, and limped over to flip the record. The first notes of Davis’s trumpet rose again, cool and melancholy. “Stay for another,” Silas said. It wasn’t a question. Thomas looked at the empty glass, then at Silas. For a second, the ghost of his old grin flickered across his face. “Yeah. Okay.” Silas poured two more fingers of whisky and sat back down. The green light from the sign bled through the frosted window, staining their hands as they raised their glasses. There was nothing left to say. The weight of time pressed down, unspoken, between the clink of glass and the quiet hum of the city outside. They were older now. Changed. But at least they remembered who they had been. And for tonight, that was enough.
created_at"2026-04-25T15:00:51.844Z" 4/25/2026, 3:00:51 PM
model"deepseek/deepseek-v4-flash-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency621
moderation_latency(null)
generation_time39522
tokens_prompt867
tokens_completion3217
native_tokens_prompt816
native_tokens_completion2830
native_tokens_completion_images(null)
native_tokens_reasoning902
native_tokens_cached768
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"
usage0.000820624
router(null)
provider_responses
0
endpoint_id"722e0746-2034-4d6e-a08f-e6271849ee9e"
id"007cd6b4-9dce-440d-8eee-4eb65c93ff05"
is_byokfalse
latency301
model_permaslug"deepseek/deepseek-v4-flash-20260423"
provider_name"DeepSeek"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777129251-FDhovn4Ah8NshX4p5F0L"
session_id(null)
api_type"completions"
id"gen-1777129251-uyYJk0jtfNFlzSy7JxT2"
upstream_id"007cd6b4-9dce-440d-8eee-4eb65c93ff05"
total_cost0.000820624
cache_discount0.000086016
upstream_inference_cost0
provider_name"DeepSeek"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
0.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags18
adverbTagCount4
adverbTags
0"Thomas said abruptly [abruptly]"
1"Silas remembered too [too]"
2"Silas said quietly [quietly]"
3"Silas said slowly [slowly]"
dialogueSentences39
tagDensity0.462
leniency0.923
rawRatio0.222
effectiveRatio0.205
86.29% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1459
totalAiIsmAdverbs4
found
0
adverb"slowly"
count2
1
adverb"softly"
count1
2
adverb"really"
count1
highlights
0"slowly"
1"softly"
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)
62.30% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1459
totalAiIsms11
found
0
word"crystal"
count2
1
word"familiar"
count1
2
word"scanning"
count1
3
word"flicker"
count1
4
word"flicked"
count1
5
word"charm"
count1
6
word"silence"
count1
7
word"flickered"
count1
8
word"weight"
count1
9
word"unspoken"
count1
highlights
0"crystal"
1"familiar"
2"scanning"
3"flicker"
4"flicked"
5"charm"
6"silence"
7"flickered"
8"weight"
9"unspoken"
66.67% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches3
maxInWindow2
found
0
label"let out a breath"
count1
1
label"hung in the air"
count1
2
label"flicker of emotion"
count1
highlights
0"let out a breath"
1"hung in the air"
2"A flicker of recognition"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences104
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences104
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences124
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen44
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1449
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions10
unquotedAttributions0
matches(empty)
20.97% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions63
wordCount1085
uniqueNames13
maxNameDensity2.58
worstName"Silas"
maxWindowNameDensity4
worstWindowName"Silas"
discoveredNames
Blackwood1
Raven1
Nest1
Thursday1
Miles2
Davis3
Silas28
Carver2
Thomas20
Laphroaig1
Morton1
Bristol1
Budapest1
persons
0"Blackwood"
1"Raven"
2"Davis"
3"Silas"
4"Carver"
5"Thomas"
6"Morton"
places
0"Bristol"
1"Budapest"
globalScore0.21
windowScore0.333
78.57% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences70
glossingSentenceCount2
matches
0"looked like a photograph left too long in"
1"quite a laugh"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1449
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences124
matches
0"knew that jawline"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs40
mean36.23
std24.4
cv0.674
sampleLengths
087
19
261
335
414
526
669
712
816
926
1053
1124
125
1327
1426
1559
1638
175
1895
199
2026
2135
2214
2343
2434
2510
2651
2774
2814
2936
3076
3124
3280
3334
3429
3524
3640
379
3824
3976
88.39% Passive voice overuse
Target: ≤2% passive sentences
passiveCount5
totalSentences104
matches
0"were scarred"
1"was written"
2"was gone"
3"been beaten"
4"been hollowed"
5"was retired"
63.95% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs196
matches
0"was polishing"
1"was scratching"
2"was setting"
3"were laughing"
27.65% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount6
semicolonCount0
flaggedSentences5
totalSentences124
ratio0.04
matches
0"The Raven's Nest was quiet for a Thursday—a few regulars nursing pints at the corner, the soft crackle of Miles Davis from the old turntable behind the bar."
1"He paused at the threshold, scanning the room with a wariness that Silas recognized—the kind that came from too many years of watching your back."
2"Thomas Carver used to have the kind of presence that filled a room—loud, confident, reckless."
3"Silas limped behind the bar, poured two fingers of Laphroaig into a crystal tumbler—the good stuff, saved for moments like this—and brought it over with a second glass for himself."
4"The sun was setting behind them, and they were laughing at something—he couldn’t remember what."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1092
adjectiveStacks0
stackExamples(empty)
adverbCount36
adverbRatio0.03296703296703297
lyAdverbCount8
lyAdverbRatio0.007326007326007326
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences124
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences124
mean11.69
std8.07
cv0.69
sampleLengths
016
125
228
318
49
53
624
725
83
96
104
1120
127
134
1414
1520
163
173
186
1920
2016
2115
2212
236
246
2511
265
2718
288
294
3019
3130
329
338
347
355
3617
3710
3813
3913
403
417
4211
4329
449
4513
4625
473
482
493
45.16% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.28225806451612906
totalSentences124
uniqueOpeners35
69.44% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences96
matches
0"Once, Silas would have had"
1"Then he reached into his"
ratio0.021
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount24
totalSentences96
matches
0"He set the glass down"
1"He paused at the threshold,"
2"Their eyes met."
3"He knew that jawline, the"
4"He stopped an arm’s length"
5"He slid into the worn"
6"His knuckles were scarred, the"
7"He set the glass down"
8"He looked up, and there"
9"He didn’t need to."
10"He had a laugh that"
11"He said nothing."
12"He gestured at himself, a"
13"He should get up, flip"
14"He saw the tremor in"
15"It had belonged to his"
16"He slid it across the"
17"It was the two of"
18"They’d both had their whole"
19"They’d both been sure they"
ratio0.25
17.29% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount85
totalSentences96
matches
0"The green neon sign hummed"
1"Silas Blackwood was polishing a"
2"The Raven's Nest was quiet"
3"He set the glass down"
4"The door opened with a"
5"Silas looked up."
6"The man who entered was"
7"He paused at the threshold,"
8"Their eyes met."
9"A flicker of recognition, then"
10"Silas tilted his head."
11"He knew that jawline, the"
12"Someone twenty years younger."
13"The name came out rough,"
14"The man stepped forward, and"
15"Silas set down the towel"
16"He stopped an arm’s length"
17"Thomas Carver used to have"
18"The understatement sat heavy between"
19"Thomas’s eyes dropped to Silas’s"
ratio0.885
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences96
matches
0"Now he looked like a"
1"Now the laugh was gone,"
ratio0.021
55.75% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences41
technicalSentenceCount5
matches
0"Silas Blackwood was polishing a glass that didn't need polishing, watching the ghost of his own reflection warp in the bulbous curve of the crystal."
1"The man who entered was thin in a way that suggested recent loss, his coat hanging loose on shoulders that had once been broad."
2"He paused at the threshold, scanning the room with a wariness that Silas recognized—the kind that came from too many years of watching your back."
3"Thomas Carver used to have the kind of presence that filled a room—loud, confident, reckless."
4"He slid into the worn leather, his coat falling open to reveal a sweater that had seen better days."
69.44% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags18
uselessAdditionCount2
matches
0"The name came out, a question he already knew the answer to"
1"Thomas broke, jaw tight"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags7
fancyCount0
fancyTags(empty)
dialogueSentences39
tagDensity0.179
leniency0.359
rawRatio0
effectiveRatio0
78.3960%