Run: 2026-04-25-01KQ2JP9YWM6KT5VN6XA0SFKWN

Run Details

Duration:
42.6s
Cost:
$0.000837
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 a black mirror by the time Rory slid onto her usual stool at the Raven’s Nest. Silas nodded from behind the bar, a rag moving in slow circles over a crystal tumbler. She didn’t need to order. He poured a fingers-width of Powers, set it on a napkin, and returned to his polishing. She liked the quiet of early evening. The door only opened twice in the first hour—a pair of tourists who left after one overpriced pint, then a regular she didn’t know by name. He took a booth near the back, unfolded a newspaper, and became furniture. Rory traced the rim of her glass. Her phone buzzed with a delivery order from Yu-Fei—a single portion of egg drop soup for a flat on Charing Cross Road. She ignored it. Her shift didn’t start for another forty minutes. The door swung open again, bringing a gust of damp air and the rumble of traffic from Old Compton Street. A man in a charcoal overcoat paused on the threshold, blinking against the dim. He shook rain from his collar, scanned the room, and his eyes snagged on her. She knew the face before the name surfaced. The jaw was sharper, the hairline higher, receded into a neat widow’s peak. He was broader across the shoulders, softened slightly by middle management—but the way he held himself, that slight tilt of the head when he wasn’t sure, was unmistakable. “Aurora?” Declan Rees. She hadn’t heard that name in four years. Hadn’t thought about him in two. They’d shared a study carrel in Cardiff’s law library for three terms, cramming torts and contracts until their eyes burned. He’d lent her his notes when she had the flu. She’d bought him a pint after his mother died. Then graduation came, and Evan happened, and she’d burned every bridge between Cardiff and London without looking back. “Declan.” She kept her voice flat, neutral. “Small world.” He crossed the room, unbuttoning his coat. The fabric was expensive—soft wool, bespoke cut. He settled on the stool beside her, leaving a respectful gap. Up close she saw the fine lines at the corners of his eyes, a silver watch glinting beneath his cuff. “I was in town for a conference,” he said. “Corporate litigation—a whole day of merger talks. I needed a drink before the train. Saw the green sign, thought it looked quiet.” “It is quiet.” Silas appeared, silent as smoke. Declan ordered a Macallan, neat. The spymaster poured, set it down, retreated to the far end of the bar. Declan raised his glass. “To… unexpected intersections.” She clinked hers against it, said nothing. He drank, set the glass down, and studied her. She felt the weight of his gaze—the inventory he was taking. Her hair was longer, blacker, tucked behind one ear. The hoodie she wore was threadbare at the cuffs, a stain on the left sleeve from a leaky container of chow mein. She wasn’t the girl who’d annotated case law with colour-coded tabs. “You look good,” he said. It was a lie, kindly meant. “You look rich.” He laughed, and for a second the years cracked open. That was the same laugh—quick, surprised, like he hadn’t expected to find anything funny. “I’m a junior partner now. Rees, Tarrington and Hale. We handle corporate disputes, a little IP.” He paused. “I heard you dropped out.” She took a long sip of the Powers. It burned in a familiar way. “I dropped out.” “Everyone said you were the best in our year. Professor Healy called you the sharpest mind he’d seen in a decade. He still brings you up, you know. Uses you as a cautionary tale—‘potential squandered.’ His words.” “He always did love his adjectives.” Declan’s fingers tightened on his glass. “What happened, Aurora? You vanished. No calls, no emails. I knocked on your door twice. Evan said you’d moved to the continent. Said you didn’t want to be found.” The name sat between them like a live wire. She could feel the heat of it, the memory of Evan’s hand clamped around her wrist, the way he’d twist until her joints crackled. The crescent scar on her left wrist itched. “Evan lied.” Declan waited. She didn’t elaborate. After a moment, he said, “I always thought there was something off about him. The way he talked for you. Finished your sentences. Decided where you ate, who you saw.” He swirled his whisky, watching the amber web on the glass. “I told myself I was being paranoid. That you loved him.” “I did. I was young. I was stupid. I was scared.” “Scared of him?” She rolled up her left sleeve without looking. The scar sat pale against her skin—a perfect crescent, the mark of a button she’d caught falling off a ladder at twelve. Beneath it, fainter, were two yellowing bruises she’d never quite let fade. She touched the scar with her right thumb. “I left while he was at work. Took a train, a bag, and three hundred pounds. A friend in London let me crash on her floor. I started delivering food, found this bar, met Silas. He gave me a room upstairs. That was four years ago.” “You work in a restaurant?” “I work for a restaurant. I deliver.” She said it without shame. The job had saved her—the simple rhythm of taking packages from Point A to B, of every day being interchangeable, of not being watched or followed or argued into corners. Declan finished his whisky in one gulp. He signalled for another. “When I heard you’d left law, I assumed you’d done something glamorous. Journalism, maybe. Or opened a bookshop in Paris. Something that fit the version of you I kept in my head.” “The version I kept in my head was a lot of things. None of them were real.” He turned to face her fully. The rain had stopped; a slice of neon from the sign outside bled green across his cheekbone. “I got married. Two years ago. Emily. She’s a paediatrician. We have a daughter, Isla. She’s ten months old.” “Congratulations.” The word felt hollow. She meant it anyway. “I don’t say this to make you feel…” He trailed off. “I don’t know why I said it. To fill the space, maybe. To prove I’m not still the kid with outlines on his fingers, pulling all-nighters with you.” “You’ve done well, Declan. You should be proud.” “I am. But I also feel like a fraud. Because I sit in glass offices and argue about liquidated damages, and I think about that study carrel. The way we’d argue causation until three in the morning. The way you always won.” He smiled, but it didn’t reach his eyes. “I miss that person. Not the lawyer—you. Before he got his hooks in.” She could have said something dismissive. Could have changed the subject. Instead she held his gaze and let the silence stretch until it became its own answer. “I met someone,” she said. “Not a relationship. Just someone who showed me that trust doesn’t have to come with a price. He owns this bar. He’s old, and he limps, and he knows things I’ll never ask about. He let me borrow a book once. I still haven’t given it back.” Declan laughed again, softer this time. “That’s the most Aurora thing you’ve said all night.” “Maybe I’m still in here after all.” He reached into his coat and pulled out a business card, slid it across the bar top. “My mobile. If you ever want to talk. Or just have another drink. No expectations, no catching up required. A fresh start.” She looked at the card. Thick paper, raised lettering. The kind of thing solicitor Rees, Tarrington and Hale spent good money on. She didn’t touch it. “I’ll think about it.” He nodded, finished his second drink, and stood. “The conference is annual. I’ll be back next September. Same hotel, same need for a quiet bar.” He buttoned his coat. “If you’re here, I’m here. If you’re not, I’ll raise a glass anyway.” “Take care, Declan.” “You too, Aurora.” He hesitated, as if he wanted to say more, then turned and walked out. The door swung shut, muting the street noise. The green neon flickered once, steadied. Silas appeared at her elbow, a fresh glass of Powers already in hand. “Old friend?” “Old ghost.” He set the glass down, and she wrapped both hands around it. The warmth seeped into her palms. She didn’t take the card. She didn’t need to. Some doors, once closed, stayed shut. But it was good to know they’d once opened at all.
created_at"2026-04-25T15:03:53.056Z" 4/25/2026, 3:03:53 PM
model"deepseek/deepseek-v4-flash-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency625
moderation_latency(null)
generation_time42526
tokens_prompt1094
tokens_completion3157
native_tokens_prompt992
native_tokens_completion2851
native_tokens_completion_images(null)
native_tokens_reasoning854
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"
usage0.000836808
router(null)
provider_responses
0
endpoint_id"722e0746-2034-4d6e-a08f-e6271849ee9e"
id"2fb8bb33-a32c-4c70-8314-d33eddd309e1"
is_byokfalse
latency288
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-1777129433-LyvElzzXlsfTcU2pG4a2"
session_id(null)
api_type"completions"
id"gen-1777129433-GoCROqg8uVNbVuEOv57E"
upstream_id"2fb8bb33-a32c-4c70-8314-d33eddd309e1"
total_cost0.000836808
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
totalTags11
adverbTagCount0
adverbTags(empty)
dialogueSentences44
tagDensity0.25
leniency0.5
rawRatio0
effectiveRatio0
96.57% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1456
totalAiIsmAdverbs1
found
0
adverb"slightly"
count1
highlights
0"slightly"
80.00% AI-ism character names
Target: 0 AI-default names (16 tracked, −20% each)
codexExemptions
0"Blackwood"
found
0"Emily"
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
55.36% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1456
totalAiIsms13
found
0
word"crystal"
count1
1
word"traced"
count1
2
word"scanned"
count1
3
word"glinting"
count1
4
word"weight"
count1
5
word"coded"
count1
6
word"familiar"
count1
7
word"potential"
count1
8
word"could feel"
count1
9
word"perfect"
count1
10
word"silence"
count1
11
word"flickered"
count1
12
word"warmth"
count1
highlights
0"crystal"
1"traced"
2"scanned"
3"glinting"
4"weight"
5"coded"
6"familiar"
7"potential"
8"could feel"
9"perfect"
10"silence"
11"flickered"
12"warmth"
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
narrationSentences90
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences90
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences123
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen50
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1447
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions14
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions36
wordCount896
uniqueNames22
maxNameDensity0.78
worstName"Declan"
maxWindowNameDensity2
worstWindowName"Declan"
discoveredNames
Soho1
Rory2
Raven1
Nest1
Powers3
Yu-Fei-a1
Charing1
Cross1
Road1
Old1
Compton1
Street1
Rees2
Cardiff2
Evan2
London1
Silas3
Macallan1
Point1
Declan7
Tarrington1
Hale1
persons
0"Rory"
1"Powers"
2"Rees"
3"Evan"
4"Silas"
5"Declan"
6"Hale"
places
0"Soho"
1"Raven"
2"Yu-Fei-a"
3"Charing"
4"Cross"
5"Road"
6"Old"
7"Compton"
8"Street"
9"Cardiff"
10"London"
11"Point"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences66
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1447
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences123
matches
0"heard that name"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs54
mean26.8
std20.18
cv0.753
sampleLengths
060
146
240
349
449
51
62
771
89
945
1031
113
1224
137
147
1562
1611
173
1847
1917
2037
216
2235
2341
242
2557
2611
273
2850
2946
305
3142
3243
3317
3442
359
3639
378
3863
3927
4052
4115
427
4339
4426
454
4642
473
483
4928
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences90
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs172
matches
0"was taking"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount7
semicolonCount1
flaggedSentences8
totalSentences123
ratio0.065
matches
0"The door only opened twice in the first hour—a pair of tourists who left after one overpriced pint, then a regular she didn’t know by name."
1"He was broader across the shoulders, softened slightly by middle management—but the way he held himself, that slight tilt of the head when he wasn’t sure, was unmistakable."
2"The fabric was expensive—soft wool, bespoke cut."
3"She felt the weight of his gaze—the inventory he was taking."
4"That was the same laugh—quick, surprised, like he hadn’t expected to find anything funny."
5"The scar sat pale against her skin—a perfect crescent, the mark of a button she’d caught falling off a ladder at twelve."
6"The job had saved her—the simple rhythm of taking packages from Point A to B, of every day being interchangeable, of not being watched or followed or argued into corners."
7"The rain had stopped; a slice of neon from the sign outside bled green across his cheekbone."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount907
adjectiveStacks0
stackExamples(empty)
adverbCount22
adverbRatio0.024255788313120176
lyAdverbCount5
lyAdverbRatio0.005512679162072767
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences123
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences123
mean11.76
std9.7
cv0.825
sampleLengths
023
116
25
316
47
526
613
77
822
93
108
1120
1214
1315
148
1513
1628
171
182
198
206
2120
2210
239
2418
257
262
277
287
2911
3020
319
3222
333
345
355
3614
374
383
397
409
4111
429
4322
4411
455
466
473
4810
4914
47.15% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.3170731707317073
totalSentences123
uniqueOpeners39
79.37% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences84
matches
0"Then graduation came, and Evan"
1"Instead she held his gaze"
ratio0.024
0.95% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount46
totalSentences84
matches
0"She didn’t need to order."
1"He poured a fingers-width of"
2"She liked the quiet of"
3"He took a booth near"
4"Her phone buzzed with a"
5"She ignored it."
6"Her shift didn’t start for"
7"He shook rain from his"
8"She knew the face before"
9"He was broader across the"
10"She hadn’t heard that name"
11"They’d shared a study carrel"
12"He’d lent her his notes"
13"She’d bought him a pint"
14"She kept her voice flat,"
15"He crossed the room, unbuttoning"
16"He settled on the stool"
17"She clinked hers against it,"
18"He drank, set the glass"
19"She felt the weight of"
ratio0.548
13.57% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount75
totalSentences84
matches
0"The rain had slicked Soho’s"
1"Silas nodded from behind the"
2"She didn’t need to order."
3"He poured a fingers-width of"
4"She liked the quiet of"
5"The door only opened twice"
6"He took a booth near"
7"Rory traced the rim of"
8"Her phone buzzed with a"
9"She ignored it."
10"Her shift didn’t start for"
11"The door swung open again,"
12"A man in a charcoal"
13"He shook rain from his"
14"She knew the face before"
15"The jaw was sharper, the"
16"He was broader across the"
17"She hadn’t heard that name"
18"They’d shared a study carrel"
19"He’d lent her his notes"
ratio0.893
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences84
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences34
technicalSentenceCount1
matches
0"She wasn’t the girl who’d annotated case law with colour-coded tabs."
79.55% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags11
uselessAdditionCount1
matches
0"She kept, neutral"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount0
fancyTags(empty)
dialogueSentences44
tagDensity0.114
leniency0.227
rawRatio0
effectiveRatio0
81.7504%