Run: 2026-04-25-01KQ2HBGGDFJK4XENXWGG7RGBX

Run Details

Duration:
34.6s
Cost:
$0.000713
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 slicked Soho's streets to mirror glass by the time Rory pushed through the door of The Raven's Nest. She shook water from her jacket, the neon green sign bleeding colour across the wet fabric. The bar was quiet for a Tuesday—just the low murmur of a couple in the corner and the clink of Silas polishing glasses behind the mahogany. She slipped onto a stool, nodded at him. He slid a pint of bitter across without a word. That was the thing about Silas—he never asked what she was running from. He just poured. The door swung open again, bringing a gust of damp air and the smell of asphalt. A man stood silhouetted against the streetlight, shaking an umbrella that had clearly given up the fight. He folded it, tucked it under his arm, and stepped inside. Rory's hand stopped halfway to her glass. It was the walk she recognised first. That slight roll in the stride, the way he carried his weight like he was always about to start dancing. She'd watched that walk cross the Great Hall at Cardiff a hundred times. He looked up, scanning the room for an empty seat. His eyes landed on her. The pause lasted a heartbeat too long. "Rory?" She set her glass down. "Tom." He crossed the room like he was testing the floorboards for traps. Stopped two feet from her stool. He'd filled out since university—shoulders broader, jaw sharper. His hair was shorter, greying at the temples. He wore a suit that cost more than her month's rent, but the tie was pulled loose and the top button undone. "Bloody hell," he said. "I don't—what are you doing in London?" "Delivering Chinese food, mostly." He blinked. It was the wrong answer. She saw him recalculate, slotting this version of her into the memory of the girl who'd argued constitutional law with professors twice her age. "Right," he said. "You're joking." "Do I look like I'm joking?" He pulled out the stool beside her, slowly, as if asking permission. She didn't stop him. Silas appeared with a second glass, set it down without being asked, and retreated to his post behind the bar. Tom took a long drink. Set the glass down. Wiped his mouth with the back of his hand—an old habit she remembered from nights spent cramming in the library, surviving on coffee and whatever biscuits they could nick from the common room. "I heard you left," he said. "After, you know." She did know. After Evan. After the bruise she'd tried to cover with foundation, after Eva had shown up at her flat with a packed bag and a train ticket. After she'd stopped answering her phone. "I heard you stayed." "Someone had to." He said it lightly, but the words landed wrong, settled in the space between them like something that couldn't be taken back. He seemed to feel it too. "I didn't mean—" "Yes, you did." He let out a breath. Ran his thumb along the rim of his glass. "We looked for you. After graduation. Tried to track you down through Eva, but she said you'd gone dark." "Eva respected my choices." "Eva knew something she wasn't telling." Rory picked at the label on her bottle. It was coming loose at the edges, the glue giving way to moisture. She peeled a strip off, rolled it between her fingers into a tight little coil. "I couldn't stay," she said. "You know that." "I know I showed up at your flat and found the door open and your bookshelf tipped over. I know Evan stood in the hallway telling everyone you'd finally cracked, gone off your meds, made a scene. I know I didn't believe him. And I know you never called to tell me otherwise." The words hung in the air. She watched them settle into the wood grain of the bar, into the dim amber light, into the quiet hum of the cooler behind the counter. "He hurt you," Tom said. Not a question. She didn't answer. Didn't need to. "I would have killed him." His voice was steady, flat. The voice of a man who'd said this to himself a thousand times. "If I'd known. If you'd told me." "You'd be in prison." "I'd be fine with that." She looked at him then. Really looked. This wasn't the boy who'd helped her plagiarise a philosophy essay at three in the morning, who'd laughed so hard at a terrible film he'd fallen out of his seat. The lines around his eyes were deeper. The light in them was different—not gone, but banked. Carefully regulated. "You look tired," she said. "I'm a barrister now. We all look tired." "Did you ever find out what you wanted?" He smiled, but it didn't reach his eyes. "I found out what I was good at. That's not the same thing." Silas moved past them with a tray of clean glasses, the clink of crystal marking time. A car hissed through the wet street outside. Someone laughed in the corner, bright and careless. "I think about it sometimes," Tom said. "The night before I sat my final exam. You called me at two in the morning because you couldn't sleep, and we walked down to the bay and watched the sunrise. Do you remember?" She remembered. The cold seeping through her trainers. The way the light had caught the water, turned it to something that looked almost alive. Tom had talked about his father's expectations, about the weight of being the son who had to succeed. She'd talked about wanting to disappear. "You said you wanted to go somewhere nobody knew your name," he continued. "I thought you were being dramatic. I told you to stop romanticising your own life." "You were right." "Was I?" Rory took a long drink. The bitter was good—Silas had a knack for it, for the small alchemies that made a place feel like home. She set the glass down, watched the foam settle. "Evan got into my head," she said. "He made me believe I couldn't survive without him. That I was too weak, too broken, too much for anyone else to handle. I stayed because I believed him, and I left because Eva made me see I was wrong. But I didn't leave because I was brave. I left because I ran out of reasons to stay." Tom was quiet. The silence stretched, filled with all the things they hadn't said in seven years. "You're not the person I remember," he said. "No. I'm not." "Is that a good thing?" She thought about the girl who'd argued constitutional law, who'd believed the world could be fixed with the right arguments and enough coffee. She thought about the woman who delivered Chinese food to strangers, who lived above a bar in Soho, who'd learned that survival wasn't about winning—it was about knowing when to walk away. "I don't know yet," she said. "Ask me again in another seven years." Tom lifted his glass. She lifted hers. The toast was unspoken, but they drank it anyway. He stayed until last call, and they didn't talk about the past again. They talked about the weather, about the state of London, about the terrible coffee at the café down the street. They talked about everything except what was really there—the space between who they'd been and who they'd become, the weight of time settling into their bones. When he left, he paused at the door. Rain streaked the glass, distorting the green neon into something soft and blurred. "This place," he said. "It suits you." She didn't answer. She watched him unfold his broken umbrella, step into the wet night, and disappear into the Soho drizzle. The door swung shut. Silas appeared, took the empty glasses, and polished the bar with a clean rag. "Old friend?" he asked. "Someone I used to know." He didn't press. He never did.
created_at"2026-04-25T14:40:30.738Z" 4/25/2026, 2:40:30 PM
model"deepseek/deepseek-v4-flash-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency725
moderation_latency(null)
generation_time34334
tokens_prompt1094
tokens_completion2807
native_tokens_prompt992
native_tokens_completion2410
native_tokens_completion_images(null)
native_tokens_reasoning716
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"
usage0.000713328
router(null)
provider_responses
0
endpoint_id"722e0746-2034-4d6e-a08f-e6271849ee9e"
id"05fd4540-4516-4744-8225-d899dca7e8a9"
is_byokfalse
latency291
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-1777128030-3yJkxuR11vw60KyR7Wkq"
session_id(null)
api_type"completions"
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upstream_id"05fd4540-4516-4744-8225-d899dca7e8a9"
total_cost0.000713328
cache_discount0.000100352
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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
totalTags14
adverbTagCount0
adverbTags(empty)
dialogueSentences46
tagDensity0.304
leniency0.609
rawRatio0
effectiveRatio0
81.29% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1336
totalAiIsmAdverbs5
found
0
adverb"slowly"
count1
1
adverb"lightly"
count1
2
adverb"really"
count2
3
adverb"carefully"
count1
highlights
0"slowly"
1"lightly"
2"really"
3"carefully"
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)
66.32% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1336
totalAiIsms9
found
0
word"weight"
count3
1
word"dancing"
count1
2
word"scanning"
count1
3
word"crystal"
count1
4
word"almost alive"
count1
5
word"silence"
count1
6
word"unspoken"
count1
highlights
0"weight"
1"dancing"
2"scanning"
3"crystal"
4"almost alive"
5"silence"
6"unspoken"
66.67% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches2
maxInWindow2
found
0
label"let out a breath"
count1
1
label"hung in the air"
count1
highlights
0"let out a breath"
1"hung in the air"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences99
matches(empty)
99.57% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount2
narrationSentences99
filterMatches
0"feel"
hedgeMatches
0"tried to"
1"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences130
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen58
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1327
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions31
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions29
wordCount969
uniqueNames14
maxNameDensity0.62
worstName"Silas"
maxWindowNameDensity2
worstWindowName"Tom"
discoveredNames
Soho3
Rory4
Raven1
Nest1
Tuesday1
Silas6
Great1
Hall1
Cardiff1
Evan1
Eva1
Tom6
Chinese1
London1
persons
0"Rory"
1"Raven"
2"Silas"
3"Evan"
4"Eva"
5"Tom"
places
0"Soho"
1"Cardiff"
2"London"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences59
glossingSentenceCount1
matches
0"as if asking permission"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.754
wordCount1327
matches
0"not gone, but banked"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount2
totalSentences130
matches
0"watched that walk"
1"learned that survival"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs62
mean21.4
std18.56
cv0.867
sampleLengths
063
134
244
37
440
515
67
71
86
956
1011
114
1231
135
146
1536
1642
179
1836
194
2034
213
2233
234
246
2536
268
2753
2832
298
306
3130
324
335
3455
355
368
378
3821
3932
4041
4148
4228
433
442
4534
4665
4717
488
493
98.17% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences99
matches
0"was pulled"
1"being asked"
89.50% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs181
matches
0"was running"
1"was testing"
2"was coming"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount8
semicolonCount0
flaggedSentences8
totalSentences130
ratio0.062
matches
0"The bar was quiet for a Tuesday—just the low murmur of a couple in the corner and the clink of Silas polishing glasses behind the mahogany."
1"That was the thing about Silas—he never asked what she was running from."
2"He'd filled out since university—shoulders broader, jaw sharper."
3"Wiped his mouth with the back of his hand—an old habit she remembered from nights spent cramming in the library, surviving on coffee and whatever biscuits they could nick from the common room."
4"The light in them was different—not gone, but banked."
5"The bitter was good—Silas had a knack for it, for the small alchemies that made a place feel like home."
6"She thought about the woman who delivered Chinese food to strangers, who lived above a bar in Soho, who'd learned that survival wasn't about winning—it was about knowing when to walk away."
7"They talked about everything except what was really there—the space between who they'd been and who they'd become, the weight of time settling into their bones."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount977
adjectiveStacks0
stackExamples(empty)
adverbCount20
adverbRatio0.02047082906857728
lyAdverbCount6
lyAdverbRatio0.006141248720573183
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences130
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences130
mean10.21
std9.39
cv0.919
sampleLengths
021
116
226
38
410
513
63
716
817
911
107
117
1220
1313
1410
155
167
171
185
191
2012
216
228
238
2422
254
267
274
282
295
3024
313
322
336
3412
354
3620
375
384
3933
406
413
423
432
4425
456
464
4725
486
493
45.64% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats9
diversityRatio0.3153846153846154
totalSentences130
uniqueOpeners41
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences81
matches(empty)
ratio0
17.53% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount41
totalSentences81
matches
0"She shook water from her"
1"She slipped onto a stool,"
2"He slid a pint of"
3"He just poured."
4"He folded it, tucked it"
5"It was the walk she"
6"She'd watched that walk cross"
7"He looked up, scanning the"
8"His eyes landed on her."
9"She set her glass down."
10"He crossed the room like"
11"He'd filled out since university—shoulders"
12"His hair was shorter, greying"
13"He wore a suit that"
14"It was the wrong answer."
15"She saw him recalculate, slotting"
16"He pulled out the stool"
17"She didn't stop him."
18"She did know."
19"He said it lightly, but"
ratio0.506
15.56% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount72
totalSentences81
matches
0"The rain had slicked Soho's"
1"She shook water from her"
2"The bar was quiet for"
3"She slipped onto a stool,"
4"He slid a pint of"
5"That was the thing about"
6"He just poured."
7"The door swung open again,"
8"A man stood silhouetted against"
9"He folded it, tucked it"
10"Rory's hand stopped halfway to"
11"It was the walk she"
12"That slight roll in the"
13"She'd watched that walk cross"
14"He looked up, scanning the"
15"His eyes landed on her."
16"The pause lasted a heartbeat"
17"She set her glass down."
18"He crossed the room like"
19"He'd filled out since university—shoulders"
ratio0.889
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences81
matches(empty)
ratio0
46.33% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences37
technicalSentenceCount5
matches
0"A man stood silhouetted against the streetlight, shaking an umbrella that had clearly given up the fight."
1"She saw him recalculate, slotting this version of her into the memory of the girl who'd argued constitutional law with professors twice her age."
2"This wasn't the boy who'd helped her plagiarise a philosophy essay at three in the morning, who'd laughed so hard at a terrible film he'd fallen out of his seat…"
3"She thought about the girl who'd argued constitutional law, who'd believed the world could be fixed with the right arguments and enough coffee."
4"She thought about the woman who delivered Chinese food to strangers, who lived above a bar in Soho, who'd learned that survival wasn't about winning—it was abou…"
89.29% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags14
uselessAdditionCount1
matches
0"He said, but the words landed wrong, settled in the space between them like something that couldn't be taken back"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags14
fancyCount1
fancyTags
0"he continued (continue)"
dialogueSentences46
tagDensity0.304
leniency0.609
rawRatio0.071
effectiveRatio0.043
77.1954%