Run: 2026-04-25-01KQ2FBNVGENSSQNZRB711MP1Z

Run Details

Duration:
27.2s
Cost:
$0.000543
Provider:
DeepSeek

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 rain had settled into that stubborn London drizzle that seeped through collars and found its way into bones. Rory had been wiping down the same section of the bar for the better part of ten minutes, watching the few patrons nursing their drinks in the amber glow of Silas’ establishment. The bell above the door chimed. She looked up out of habit, ready with a practiced nod for whoever was foolish enough to venture out on a Tuesday this late. The man who stepped through shook water from his coat, a dark wool thing that looked expensive in a way that didn't quite fit the Raven’s usual crowd. He was lean, sharp-jawed, with salt beginning to thread through his dark hair at the temples. His eyes swept the room with the quick assessment of someone used to entering unfamiliar spaces. Those eyes landed on her. And stopped. Rory’s hand stilled on the rag. There was something in the set of his shoulders, the way his mouth opened slightly before he caught himself. She knew that face. Knew it from another lifetime, from Liverpool street corners and university libraries and a version of herself she’d buried so deep she almost didn’t recognise the girl who had known him. “Rory?” His voice cracked on the name. Not with age—he wasn’t that old, none of them were that old—but with the weight of years unspooled between them. “Declan.” She said it flat, testing the name on her tongue. It tasted like smoke and cheap wine and laughter that had long since turned to ash. He crossed the distance in three long strides, rain dripping from his sleeves onto the polished wood. Up close, she could see the changes the dim light had softened from a distance. The crow’s feet at the corners of his eyes. The silver in his stubble. The way he held himself now, like a man who had learned to take up space rather than shrink from it. “I don’t believe it.” He ran a hand through his wet hair. “I was in town for a meeting, saw the sign—thought I’d grab a drink before heading back. I never—Christ, how long has it been?” “Six years.” She didn’t have to calculate it. She had counted every one. “Six years.” He repeated it like he was testing the shape of the number. “You look…” She waited. “Different,” he finished, and there was something complicated in his voice. Not quite admiration, not quite accusation. “So do you.” She set the rag down and straightened. Behind her, the bottles caught the light, their labels faded and familiar. “What are you drinking?” “Whatever you’re having.” She poured two whiskeys, the good stuff Silas kept under the counter for regulars who knew to ask. Declan took his without hesitation, the way he’d never used to. The Declan she remembered had sipped cider through a straw and complained about the bitterness of hops. “You work here?” He gestured vaguely at the bar, at her apron, at the life she’d built in the spaces he couldn’t see. “Part-time. I do deliveries for a Chinese place down the road. This is just evenings.” “Deliveries.” He said it like she’d told him she trained circus elephants. “You have a law degree, Rory.” “Had one. Doesn’t mean I have to use it.” She lifted her glass, let the whiskey burn its way down. “What about you? Still chasing ambulances?” He flinched. Good. She’d aimed for that. “Corporate now. Mergers and acquisitions. Made partner last year.” “Congratulations.” She didn’t bother hiding the flatness in her voice. “It’s good money.” “I’m sure it is.” The silence stretched between them, filled with the low murmur of other conversations, the clink of glasses, the distant sound of traffic bleeding through the walls. Declan’s fingers traced the rim of his glass, a nervous habit she remembered from exam seasons past. “I looked for you,” he said quietly. “After. I went to your flat, but you’d already left. Your landlord said you’d gone to London. No forwarding address.” “I know.” “You didn’t want to be found.” “I didn’t.” He nodded, slow and deliberate, like he was working through a difficult equation. The rain had stopped hammering against the windows; the city had settled into its late-night hum. “Evan,” he said. “Don’t.” “I’m not—I’m not trying to—Rory, I just want to understand.” She picked up a glass, turned it over in her hands. The light caught the distortion of her fingerprints on the crystal. “There’s nothing to understand. I made choices. Some of them were bad. Some of them were necessary. You don’t get to pick through the debris six years later and ask for explanations.” “I’m not asking for explanations.” His voice had roughened. “I’m asking if you’re okay.” The question landed like a stone in still water. She set the glass down carefully, watching the ripples of his words spread through the quiet between them. “I’m alive,” she said. “That’s more than some people get.” Declan’s jaw tightened. For a moment, he looked like he might argue, might push, might reach across the bar and shake the truth out of her. But the years had taught him something too. He let his shoulders drop. “I missed you,” he said. “Every day, for a long time. And then I got busy, and I stopped missing you as much, and that felt like a different kind of betrayal.” Rory’s throat constricted. She stared at the grain of the wood beneath her hands, following the lines like they might lead somewhere. “You were supposed to be my best man,” she said. The words came out small, stripped of the armour she’d spent half a decade welding into place. “At the wedding. You were supposed to stand next to me and tell me I was making a mistake, and instead you told me you were happy for me.” “I thought I was being supportive.” “I needed you to be honest.” He set his glass down hard enough to slosh whiskey across the bar. “I didn’t know, Rory. None of us knew. He seemed—” Declan’s voice broke, caught, reformed. “He seemed like a good bloke. He seemed like he made you happy.” “He did make me happy. At first. That’s what they do.” The admission hung between them, raw and bleeding. Rory wiped up the spilled whiskey with a cloth, moved slowly, deliberately gave herself something to do with her hands. “I found out later,” Declan said. “After you disappeared. I heard things. Called around. There was a police report you never filed, a hospital visit you never told anyone about. I wanted to find you, tell you I was sorry.” “Sorry wouldn’t have fixed anything.” “No. But it might have meant something.” She looked at him then, really looked. Saw the ghost of the boy who’d stayed up with her all night before her torts exam, who’d held her hair back when she’d drunk too much at Freshers’ Week, who’d promised her that the world was wide and they would conquer it together. That boy was still in there, buried under the corporate suits and the salt-and-pepper stubble, but he was still there. “You got a place to stay tonight?” she asked. “Hotel near Covent Garden.” “Good. Finish your drink. Tell me about this partnership of yours.” He blinked, caught off-balance. “You want to hear about that?” “I want to hear about you. The parts you’re willing to share.” She poured herself another finger of whiskey. “We’ve got time. The bar doesn’t close for another two hours.” Declan’s smile came slow, tentative, like a muscle he hadn’t used in years. But it came. “Two hours,” he said. “That’s not nearly enough.” “It’s a start.” He raised his glass. She raised hers. They drank, and the rain started up again outside, and somewhere in the back room Silas turned up the volume on his ancient radio, filling the space with something soft and bluesy that didn’t ask any questions either of them were ready to answer.
created_at"2026-04-25T14:05:39.06Z" 4/25/2026, 2:05:39 PM
model"deepseek/deepseek-v4-flash-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency579
moderation_latency(null)
generation_time27107
tokens_prompt1094
tokens_completion2133
native_tokens_prompt992
native_tokens_completion1801
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached896
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"
usage0.000542808
router(null)
provider_responses
0
endpoint_id"722e0746-2034-4d6e-a08f-e6271849ee9e"
id"455c37e9-00b8-406f-85e2-f7fabcdd4234"
is_byokfalse
latency454
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-1777125939-V50EfBSLSCBxfNuTVAKY"
session_id(null)
api_type"completions"
id"gen-1777125939-hZ384p7noClMNyWiHka4"
upstream_id"455c37e9-00b8-406f-85e2-f7fabcdd4234"
total_cost0.000542808
cache_discount0.000100352
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
totalTags23
adverbTagCount2
adverbTags
0"He gestured vaguely [vaguely]"
1"he said quietly [quietly]"
dialogueSentences56
tagDensity0.411
leniency0.821
rawRatio0.087
effectiveRatio0.071
81.38% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1343
totalAiIsmAdverbs5
found
0
adverb"slightly"
count1
1
adverb"carefully"
count1
2
adverb"slowly"
count1
3
adverb"deliberately"
count1
4
adverb"really"
count1
highlights
0"slightly"
1"carefully"
2"slowly"
3"deliberately"
4"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)
77.66% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1343
totalAiIsms6
found
0
word"weight"
count1
1
word"calculate"
count1
2
word"familiar"
count1
3
word"silence"
count1
4
word"traced"
count1
5
word"crystal"
count1
highlights
0"weight"
1"calculate"
2"familiar"
3"silence"
4"traced"
5"crystal"
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
narrationSentences79
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences79
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences114
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
totalWords1337
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions20
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions17
wordCount896
uniqueNames7
maxNameDensity0.78
worstName"Declan"
maxWindowNameDensity2
worstWindowName"Declan"
discoveredNames
London1
Tuesday1
Raven1
Liverpool1
Silas2
Declan7
Rory4
persons
0"Raven"
1"Silas"
2"Declan"
3"Rory"
places
0"London"
1"Liverpool"
globalScore1
windowScore1
0.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences53
glossingSentenceCount4
matches
0"quite fit the Raven’s usual crowd"
1"tasted like smoke and cheap wine and laug"
2"Not quite admiration, not quite accusation"
3"not quite accusation"
4"looked like he might argue, might push, m"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1337
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences114
matches
0"knew that face"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs62
mean21.56
std19.84
cv0.92
sampleLengths
051
16
284
35
42
560
61
726
827
967
1036
1113
1216
132
1417
1526
163
1746
1823
1915
2018
2126
227
239
2410
253
264
2743
2827
292
306
312
3229
333
341
3510
3654
3714
3827
3910
4039
4132
4222
4356
446
456
4641
4711
4828
4940
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences79
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs155
matches
0"was testing"
1"was working"
92.73% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount1
flaggedSentences2
totalSentences114
ratio0.018
matches
0"Not with age—he wasn’t that old, none of them were that old—but with the weight of years unspooled between them."
1"The rain had stopped hammering against the windows; the city had settled into its late-night hum."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount372
adjectiveStacks0
stackExamples(empty)
adverbCount12
adverbRatio0.03225806451612903
lyAdverbCount1
lyAdverbRatio0.002688172043010753
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences114
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences114
mean11.73
std9.02
cv0.769
sampleLengths
019
132
26
324
428
516
616
75
82
96
1019
114
1231
131
146
1520
1611
1716
1817
1915
209
215
2221
2312
2424
258
265
2714
282
292
3011
316
3210
3312
344
353
3618
3711
3817
3923
4015
4112
426
4320
446
452
461
474
489
4910
56.14% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.3684210526315789
totalSentences114
uniqueOpeners42
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences68
matches(empty)
ratio0
20.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount34
totalSentences68
matches
0"She looked up out of"
1"He was lean, sharp-jawed, with"
2"His eyes swept the room"
3"She knew that face."
4"His voice cracked on the"
5"She said it flat, testing"
6"It tasted like smoke and"
7"He crossed the distance in"
8"He ran a hand through"
9"She didn’t have to calculate"
10"She had counted every one."
11"He repeated it like he"
12"he finished, and there was"
13"She set the rag down"
14"She poured two whiskeys, the"
15"He gestured vaguely at the"
16"He said it like she’d"
17"She lifted her glass, let"
18"She’d aimed for that."
19"She didn’t bother hiding the"
ratio0.5
33.53% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount58
totalSentences68
matches
0"The rain had settled into"
1"Rory had been wiping down"
2"The bell above the door"
3"She looked up out of"
4"The man who stepped through"
5"He was lean, sharp-jawed, with"
6"His eyes swept the room"
7"Those eyes landed on her."
8"Rory’s hand stilled on the"
9"She knew that face."
10"His voice cracked on the"
11"She said it flat, testing"
12"It tasted like smoke and"
13"He crossed the distance in"
14"The crow’s feet at the"
15"The silver in his stubble."
16"The way he held himself"
17"He ran a hand through"
18"She didn’t have to calculate"
19"She had counted every one."
ratio0.853
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences68
matches(empty)
ratio0
73.73% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences31
technicalSentenceCount3
matches
0"The man who stepped through shook water from his coat, a dark wool thing that looked expensive in a way that didn't quite fit the Raven’s usual crowd."
1"Knew it from another lifetime, from Liverpool street corners and university libraries and a version of herself she’d buried so deep she almost didn’t recognise …"
2"They drank, and the rain started up again outside, and somewhere in the back room Silas turned up the volume on his ancient radio, filling the space with someth…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags23
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags11
fancyCount1
fancyTags
0"He repeated (repeat)"
dialogueSentences56
tagDensity0.196
leniency0.393
rawRatio0.091
effectiveRatio0.036
81.1727%