Run: 2026-04-25-01KQ2F8AF44X9AFG51VR0VMP1X

Run Details

Duration:
46.9s
Cost:
$0.000934
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 rain had settled into that particular London rhythm—not quite a downpour, not quite a drizzle, just enough to make the pavement gleam under the streetlights and send the evening crowd ducking into doorways. Aurora Carter stood behind the bar of The Raven’s Nest, wiping a glass with a rag that had seen better days, watching the condensation bead and slide down the window. The green neon sign outside cast its pale glow across the wet street, and she thought, not for the first time, that Soho after dark had a way of making everyone look like they were waiting for something. She wasn’t waiting for anything. Not anymore. The bell above the door chimed—a tinny, off-key note that Silas refused to fix—and a man stepped in out of the wet. He shook his umbrella with practiced efficiency, folded it, and scanned the room with the quick, assessing glance of someone used to reading spaces. His suit was charcoal grey, well cut, the kind that whispered money rather than shouted it. His shoes were polished despite the rain. His hair was the same sandy brown she remembered, but shorter now, receding just slightly at the temples. It took her a full three seconds to place him. Three seconds of her brain rifling through old files, old faces, old nights in Cardiff student pubs where the beer was cheap and the conversation ran until dawn. Then it clicked. “Liam?” He turned at the sound of her voice, and for a moment his face was a blank canvas—polite, neutral, the expression of a man who had been to too many networking events and learned to hide his reactions. Then recognition flickered, and something else. Surprise, maybe. Or wariness. “Rory?” She set the glass down and dried her hands on her jeans. “Last time I checked.” She gestured at the bar. “What are you doing here? Last I heard, you were in Manchester. Corporate law. Big offices. Lots of billable hours.” He smiled, but it didn’t quite reach his eyes. “Got transferred to London last year. Figured I’d find a quiet place for a drink. Didn’t expect to find you pouring them.” “Life’s full of surprises.” She said it lightly, but the words sat heavy in her mouth. She watched him take a seat at the bar, watched the way he settled into the stool like he was taking a deposition, all careful posture and measured movements. “You look…” He trailed off, and she could see him editing himself in real time. “Different.” “Different how?” “I don’t know. The hair. The—” He gestured vaguely at her arms, her clothes. “The whole thing. You used to dress like you were going to court even when you were just going to the library.” She laughed, and it came out rougher than she intended. “That was a long time ago.” “Four years.” “Feels longer.” He ordered a single malt, neat, and she poured it with the practiced hand of someone who had done this a thousand times. The amber liquid caught the low light, and she watched him swirl it once before taking a sip. He didn’t wince. He’d learned to drink like that, too—acquired taste, acquired posture, acquired life. “So,” he said, setting the glass down, “you’re not a lawyer.” “No.” “You’re a bartender.” “Delivery driver, mostly. I fill in here for Silas when he needs an extra hand.” He nodded slowly, the way people do when they’re processing information they don’t quite know how to file. She remembered that about him—the careful consideration before every response, the way he treated conversation like a chess game. It had made him a good debater, back in the university union. It had made him exhausting to date. “I heard about Evan,” he said, and his voice dropped, not quite to a whisper but close. “I’m sorry.” She picked up the glass she’d been drying and started wiping it again, just to have something to do with her hands. “It’s done. I’m done.” “That why you left Cardiff?” “That’s why I left a lot of things.” The silence stretched between them, filled by the low murmur of other conversations, the clink of glasses, the distant hum of a city that never stopped moving. Aurora set the glass down and leaned on the bar, studying him the way he’d studied the room when he walked in. He looked successful. That was the word. Successful in that polished, slightly hollow way that law firms cultivated. His hands were clean, no calluses, no scars. His wedding ring caught the light—plain gold, no fuss. She hadn’t known he was married. She hadn’t known a lot of things. “You changed your name,” he said. “Aurora’s still Aurora. I just go by Rory now. More casual.” “No, I mean—your surname. Carter. It used to be Malphora.” She felt something tighten in her chest, a small muscle she’d learned to keep relaxed most days. “My mother’s maiden name. I took it after the divorce.” “You got divorced?” “No.” She picked up another glass, checked it for smudges. “I divorced my father’s name. And everything that came with it.” He didn’t push. He never had, not really. That was part of his charm and part of his failure—he knew when to stop asking, but he never knew when to start. She remembered nights in her cramped student flat, trying to explain the weight of her father’s expectations, the way Brendan Carter’s disappointment could fill a room like smoke. Liam had listened. He’d nodded. He’d said the right things. And then he’d gone back to his own life, his own ambitions, and the distance between them had calcified into something neither of them knew how to bridge. “I’m sorry I didn’t keep in touch,” he said. “You did. For a while. Then you didn’t.” “I thought you needed space.” “I needed a lot of things. Space wasn’t one of them.” The words came out sharper than she intended, and she saw him flinch, just slightly. She exhaled and ran a hand through her hair. “Sorry. That was—that’s not fair. You didn’t know.” “I should have known.” “No.” She shook her head. “I didn’t let anyone know. That’s the whole point.” He finished his whiskey in two long swallows and set the glass down with a quiet clink. “Another?” She poured without asking, and this time he didn’t swirl it. He just drank. “Do you ever think about going back?” he asked. “Finishing your degree? Practicing?” “No.” “No hesitation?” “None.” She leaned on the bar, closer now, her voice dropping. “I spent twenty-two years of my life doing what other people wanted. My father wanted a lawyer. Evan wanted a wife. The university wanted a good student, a good daughter, a good girl who stayed in her lane and didn’t make waves. I did it all. I was perfect. And you know what it got me?” He waited. “A scar on my wrist and a flat above a bar in Soho.” She pulled back her sleeve to show him the crescent mark, pale against her skin. “That’s the only thing I kept. The rest I threw away.” He looked at the scar for a long time, and when he met her eyes again, his were different. Softer. The way they used to be, back before the billable hours and the tailored suits and the wedding ring. “You’re not the person I knew,” he said. “No. I’m not.” “But you’re still Rory.” She didn’t know what to do with that, so she just nodded. Somewhere behind her, she heard Silas’s uneven footsteps on the stairs, the familiar limp that told her he was coming down to check on the evening’s receipts. The bar would get busier soon. The night would swallow the moment, and Liam would leave, and she’d go back to wiping glasses and delivering noodles and pretending the past was just a story she’d read somewhere. But for now, in the green glow of the neon sign, she looked at the man she’d once thought she might marry, and she saw the ghost of the boy he’d been. And she wondered if he saw the ghost of the girl she’d been, too. “You look tired,” she said. “I am.” He smiled, and this time it reached his eyes, just barely. “You look… alive.” “That’s the best compliment I’ve had in months.” He laughed, and it sounded genuine, a crack in the polished surface. “Same Rory. Still sharp.” “Always.” He finished his drink and stood, pulling out his wallet. She waved him off. “It’s on the house. Consider it a welcome-to-London gift.” He hesitated, then nodded and tucked the wallet away. “Thank you.” “Take care of yourself, Liam.” “You too.” He paused at the door, hand on the handle, and looked back. “And Rory? For what it’s worth—I think you made the right call.” Then he was gone, swallowed by the rain and the neon and the endless city night. Aurora picked up his empty glass and wiped the ring it left on the bar. Silas appeared beside her, leaning on his good leg, and said nothing for a long moment. “Friend of yours?” he asked finally. “Used to be.” “Still is, by the look of it.” She shook her head. “We’re not the same people anymore.” Silas grunted, a sound that could have meant anything. He picked up a glass and started polishing it with the rag she’d abandoned. “Nobody ever is, Rory. That’s what time does.” She looked at the door, where the rain streaked the glass and turned the street into a watercolor of light and shadow. “Yeah,” she said, soft enough that the words barely reached her own ears. “I know.”
created_at"2026-04-25T14:03:49.097Z" 4/25/2026, 2:03:49 PM
model"deepseek/deepseek-v4-flash-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency546
moderation_latency(null)
generation_time46703
tokens_prompt867
tokens_completion3723
native_tokens_prompt816
native_tokens_completion3234
native_tokens_completion_images(null)
native_tokens_reasoning1048
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"
usage0.000933744
router(null)
provider_responses
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endpoint_id"722e0746-2034-4d6e-a08f-e6271849ee9e"
id"261bd069-f273-40b1-b47c-ce68bcdd8eba"
is_byokfalse
latency275
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-1777125829-4xiUsvnBeYzk0mhT1sCR"
session_id(null)
api_type"completions"
id"gen-1777125829-6kblkpQBwCtOAJt4enaL"
upstream_id"261bd069-f273-40b1-b47c-ce68bcdd8eba"
total_cost0.000933744
cache_discount0.000086016
upstream_inference_cost0
provider_name"DeepSeek"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags19
adverbTagCount3
adverbTags
0"He gestured vaguely [vaguely]"
1"She pulled back [back]"
2"he asked finally [finally]"
dialogueSentences68
tagDensity0.279
leniency0.559
rawRatio0.158
effectiveRatio0.088
81.57% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1628
totalAiIsmAdverbs6
found
0
adverb"slightly"
count3
1
adverb"lightly"
count1
2
adverb"slowly"
count1
3
adverb"really"
count1
highlights
0"slightly"
1"lightly"
2"slowly"
3"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)
69.29% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1628
totalAiIsms10
found
0
word"scanned"
count1
1
word"flickered"
count1
2
word"measured"
count1
3
word"whisper"
count1
4
word"silence"
count1
5
word"charm"
count1
6
word"weight"
count1
7
word"perfect"
count1
8
word"footsteps"
count1
9
word"familiar"
count1
highlights
0"scanned"
1"flickered"
2"measured"
3"whisper"
4"silence"
5"charm"
6"weight"
7"perfect"
8"footsteps"
9"familiar"
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
narrationSentences93
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences93
filterMatches
0"look"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences142
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen57
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1617
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions13
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions17
wordCount1182
uniqueNames10
maxNameDensity0.34
worstName"Silas"
maxWindowNameDensity1
worstWindowName"Silas"
discoveredNames
London1
Carter2
Raven1
Nest1
Soho1
Silas4
Cardiff1
Brendan1
Liam2
Aurora3
persons
0"Carter"
1"Raven"
2"Nest"
3"Silas"
4"Brendan"
5"Liam"
6"Aurora"
places
0"London"
1"Soho"
2"Cardiff"
globalScore1
windowScore1
0.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences67
glossingSentenceCount5
matches
0"not quite a downpour, not quite a drizzle, just enough to make the pavement gleam under the streetlights and send the evening crowd ducking into doorways"
1"not quite a drizzle, just enough to make the pavement gleam under the streetlights and send the evening crowd ducking into doorways"
2"quite reach his eyes"
3"quite know how to file"
4"not quite to a whisper but close"
5"appeared beside her, leaning on his good leg, and said nothing for a long moment"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.618
wordCount1617
matches
0"not quite to a whisper but close"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences142
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs75
mean21.56
std22.94
cv1.064
sampleLengths
0102
17
287
338
43
51
648
71
841
931
1045
1116
122
1336
1416
152
162
1756
1811
191
203
2115
2256
2319
2426
255
268
2749
2848
296
3011
3110
3227
333
3421
3597
369
378
385
3911
4032
414
4214
4318
4414
4513
461
472
4867
492
97.72% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences93
matches
0"was married"
1"was gone"
81.48% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs225
matches
0"were waiting"
1"wasn’t waiting"
2"was taking"
3"was coming"
2.01% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount8
semicolonCount0
flaggedSentences7
totalSentences142
ratio0.049
matches
0"The rain had settled into that particular London rhythm—not quite a downpour, not quite a drizzle, just enough to make the pavement gleam under the streetlights and send the evening crowd ducking into doorways."
1"The bell above the door chimed—a tinny, off-key note that Silas refused to fix—and a man stepped in out of the wet."
2"He turned at the sound of her voice, and for a moment his face was a blank canvas—polite, neutral, the expression of a man who had been to too many networking events and learned to hide his reactions."
3"He’d learned to drink like that, too—acquired taste, acquired posture, acquired life."
4"She remembered that about him—the careful consideration before every response, the way he treated conversation like a chess game."
5"His wedding ring caught the light—plain gold, no fuss."
6"That was part of his charm and part of his failure—he knew when to stop asking, but he never knew when to start."
91.53% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1191
adjectiveStacks1
stackExamples
0"same sandy brown she"
adverbCount51
adverbRatio0.042821158690176324
lyAdverbCount10
lyAdverbRatio0.008396305625524769
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences142
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences142
mean11.39
std9.42
cv0.828
sampleLengths
034
130
238
35
42
522
624
716
87
918
1010
1128
123
131
1438
156
162
172
181
1912
209
2120
229
2322
2416
2529
2615
271
282
2914
3022
3110
326
332
342
3523
3618
373
3812
3911
401
413
4215
4318
4419
4512
467
4717
482
4922
47.65% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats14
diversityRatio0.34507042253521125
totalSentences142
uniqueOpeners49
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount4
totalSentences82
matches
0"Then it clicked."
1"Then recognition flickered, and something"
2"Somewhere behind her, she heard"
3"Then he was gone, swallowed"
ratio0.049
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount56
totalSentences82
matches
0"She wasn’t waiting for anything."
1"He shook his umbrella with"
2"His suit was charcoal grey,"
3"His shoes were polished despite"
4"His hair was the same"
5"It took her a full"
6"He turned at the sound"
7"She set the glass down"
8"She gestured at the bar"
9"He smiled, but it didn’t"
10"She said it lightly, but"
11"She watched him take a"
12"He trailed off, and she"
13"He gestured vaguely at her"
14"She laughed, and it came"
15"He ordered a single malt,"
16"He didn’t wince."
17"He’d learned to drink like"
18"he said, setting the glass"
19"He nodded slowly, the way"
ratio0.683
14.88% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount73
totalSentences82
matches
0"The rain had settled into"
1"Aurora Carter stood behind the"
2"The green neon sign outside"
3"She wasn’t waiting for anything."
4"The bell above the door"
5"He shook his umbrella with"
6"His suit was charcoal grey,"
7"His shoes were polished despite"
8"His hair was the same"
9"It took her a full"
10"He turned at the sound"
11"She set the glass down"
12"She gestured at the bar"
13"He smiled, but it didn’t"
14"She said it lightly, but"
15"She watched him take a"
16"He trailed off, and she"
17"He gestured vaguely at her"
18"She laughed, and it came"
19"He ordered a single malt,"
ratio0.89
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences82
matches(empty)
ratio0
95.24% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences45
technicalSentenceCount3
matches
0"Aurora Carter stood behind the bar of The Raven’s Nest, wiping a glass with a rag that had seen better days, watching the condensation bead and slide down the w…"
1"He turned at the sound of her voice, and for a moment his face was a blank canvas—polite, neutral, the expression of a man who had been to too many networking e…"
2"He ordered a single malt, neat, and she poured it with the practiced hand of someone who had done this a thousand times."
98.68% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags19
uselessAdditionCount1
matches
0"She said, but the words sat heavy in her mouth"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags10
fancyCount0
fancyTags(empty)
dialogueSentences68
tagDensity0.147
leniency0.294
rawRatio0
effectiveRatio0
79.3352%