Run: 2026-02-19-01KHTYRFKR30X71BVDXCQ05KB7

Run Details

Duration:
1m 46s
Cost:
$0.002192
Provider:
SiliconFlow

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 green neon sign buzzed overhead, casting a sickly glow on the damp pavement. Aurora pushed open the heavy door to The Raven’s Nest, the familiar scent of old wood, spilled whiskey, and lemon polish washing over her. It was a Tuesday, slow and quiet. Silas was polishing a glass behind the bar, his movements economical, his gaze missing nothing. She slid onto her usual stool. “Rough one?” He set the glass down without looking up. “The usual clientele. Whispers and bad decisions.” He poured two fingers of a decent Scotch, no ice, and slid it toward her. It was their ritual. She’d just finished her last delivery run for Yu-Fei, and the city’s grime felt like a second skin. The first sip was fire and peat, burning away the memory of London’s endless drizzle. The door creaked open again, letting in a gust of cool night air and a man she hadn't seen in seven years. He’d filled out, the lanky frame of his university days squared off with the solid weight of adulthood. The expensive cut of his charcoal overcoat screamed money, a stark contrast to the worn cords and threadbare jumpers he’d lived in back in Cardiff. His face was harder, the boyish softness carved away by time or circumstance, but the eyes were the same. Evan. His gaze swept the room, a quick, dismissive scan, before landing on her. A flicker of surprise, then a slow, deliberate smile that didn’t reach his eyes. He walked over, the click of his designer shoes on the floorboards unnaturally loud in the quiet bar. “Rory. Fancy that.” Aurora felt the stool beneath her become a block of ice. Her fingers tightened around the glass. Silas had stopped polishing, his attention a tangible weight at her back. “Evan.” Her voice was steadier than she felt. “May I?” He gestured to the stool beside her, already pulling it out. He shrugged off his coat, draping it with care over the backrest. The suit underneath was just as immaculate. He signaled Silas with a curt nod. “Macallan 18. Neat.” He turned back to her, his eyes cataloging her own simple jeans, the delivery-service jacket she’d shrugged off and hung on the stool. “Still drinking the cheap stuff, I see.” “It does the job.” His drink arrived. He swirled the amber liquid, sniffed it with an air of performance. “I was just thinking about Cardiff the other day. The old gang. Brendan and Jennifer’s girl, all grown up and… well. Here.” He finally looked at her directly, a long, assessing stare. “You vanished. One day you were there, top of our torts class, the next… poof. No forwarding address. Your father was livid.” “I left a note.” “A note.” He chuckled, a dry, humorless sound. “Hardly worthy of a future barrister. ‘Gone to London. Don’t worry.’ Very dramatic.” “It wasn’t meant to be dramatic. It was meant to be final.” He took a slow sip, his eyes never leaving hers over the rim of the glass. “Everything was so final with you, wasn’t it? Black and white. Right and wrong. The world doesn’t work like that, Rory. It’s all shades of grey.” “Is that what you tell yourself?” She heard the bite in her own voice and didn’t try to soften it. “Is that the philosophy that got you the fancy coat?” A shadow passed over his face, quick as a cloud. “Ambition isn’t a sin. Some of us had to make something of ourselves. I seem to recall you had ambitions once, too. What was it your dad used to say? ‘The finest legal mind of her generation.’” He leaned closer, his voice dropping, though there was no one else to hear. “And now you’re… what? A barmaid?” “Delivery driver.” He waved a dismissive hand, the silver cufflink at his wrist glinting in the low light. “Same difference. A job for transients. Not for someone with your potential. It’s a waste.” The word hung in the air between them. *Waste*. It echoed other words, older words, spoken in the dark of a different flat. *Ungrateful. Hysterical. A waste of my time.* “Potential is a heavy burden,” she said quietly, tracing the crescent-shaped scar on her wrist with her thumb. A childhood fall from a tree. A simple, clean pain. “Sometimes you have to set it down to save yourself.” “Save yourself from what?” he pressed, his gaze sharpening. It was the same tone he’d used when cross-examining moot court opponents. “From a little pressure? From high expectations? From me?” She didn’t answer. She looked past him, to the wall of black-and-white photographs. A young Silas, standing before the Charles Bridge in Prague. A different life. Evan followed her gaze, then turned back, a new understanding dawning in his expression. It wasn’t kindness. It was a predator recognizing old territory. “Oh, I see. This is still about that, isn’t it? That night.” He shook his head, a parody of regret. “You always did blow things out of proportion. A simple disagreement between two people who cared for each other.” “You threw a book at my head, Evan.” “It was a textbook! And I missed.” He said it with such casual exasperation, as if correcting a minor factual error. “You didn’t miss the wall. There was a dent in the plaster. I paid the landlord extra for that when I left.” He drained his glass and signaled Silas for another. The silence stretched, thick and uncomfortable. The bar felt smaller, the walls closer. “We were kids,” he said, his voice lower now, losing some of its polished edge. “Stressed. Finals. You know how it was. I wasn’t… I wasn’t at my best.” “You were exactly who you were.” The second drink arrived. He didn’t touch it immediately. He just stared into it, and for a fleeting second, the successful man vanished, and she saw the anxious, intense boy she’d once thought she loved. The one who’d held her hand during her mother’s illness, who’d quizzed her for exams until dawn. “I looked for you, you know,” he murmured. “After. Asked around. No one knew a thing. It was like you’d been erased.” He finally looked up, and his eyes held a genuine, bewildered hurt that was somehow more disarming than his anger. “Why, Rory? Why such a… a nuclear option? We could have talked.” She thought of the packed bag hidden under Eva’s bed. The train ticket bought with cash. The sheer, animal terror of those final weeks. The way he’d check her phone, question her about every minute of her day, his apologies always followed by a new set of rules. How telling him she was leaving felt more dangerous than just disappearing. “Talking with you was like negotiating a surrender,” she said, her voice flat. “I decided I didn’t want to surrender anymore.” He flinched as if she’d struck him. The vulnerability vanished, sealed behind a wall of cold pride. He stood up, pulling a leather wallet from his inside pocket. He tossed a fifty-pound note onto the bar, far more than the cost of his drinks. “Well. It seems you got your victory. You’re here, living your authentic life.” The sarcasm was acid. He shrugged his coat back on, buttoning it with sharp, precise movements. “I have a merger to close tomorrow. Multi-million pound deal. The kind of thing that actually affects people’s lives.” He stood there for a moment, a silhouette against the green neon, a man who had become exactly what he’d always wanted to be. And he looked profoundly, utterly lonely. “Goodbye, Aurora.” He didn’t wait for a reply. The door swung shut behind him, swallowing him into the night. Aurora released a breath she didn’t realize she’d been holding. Her hands were trembling. She clenched them into fists on the sticky bar top. Silas materialized, picking up the fifty-pound note with distaste. He cleared Evan’s glass. He didn’t speak. He simply refilled her Scotch, pushing the fresh glass next to her half-finished one. She picked it up, the crystal cool against her palm. She looked at her reflection in the dark mirror of the bar back, at the girl from Cardiff who was gone, and the woman in London who had taken her place. The weight of the years settled on her shoulders, not as a regret, but as a fact. A choice made. A life lived. She took a long, slow drink, and this time, she tasted nothing at all.
created_at"2026-02-19T12:42:22.717Z" 2/19/2026, 12:42:22 PM
model"deepseek/deepseek-chat-v3.1"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4758
moderation_latency(null)
generation_time105498
tokens_prompt1110
tokens_completion2181
native_tokens_prompt995
native_tokens_completion1923
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.00219165
router(null)
provider_responses
0
endpoint_id"5d5c9c1d-af0d-4e4a-8aee-c5cd2b3883f3"
id"019c75ec4ea0cf9332c128623a25f381"
is_byokfalse
latency4758
model_permaslug"deepseek/deepseek-chat-v3.1"
provider_name"SiliconFlow"
status200
api_type"completions"
id"gen-1771504942-UpXaxAitgR9ZWz5OYF7w"
upstream_id"019c75ec4ea0cf9332c128623a25f381"
total_cost0.00219165
cache_discount(null)
upstream_inference_cost0
provider_name"SiliconFlow"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags14
adverbTagCount2
adverbTags
0"He turned back [back]"
1"she said quietly [quietly]"
dialogueSentences41
tagDensity0.341
leniency0.683
rawRatio0.143
effectiveRatio0.098
92.97% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1423
totalAiIsmAdverbs2
found
0
adverb"very"
count1
1
adverb"utterly"
count1
highlights
0"very"
1"utterly"
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)
43.78% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1423
totalAiIsms16
found
0
word"familiar"
count1
1
word"weight"
count3
2
word"stark"
count1
3
word"flicker"
count1
4
word"tangible"
count1
5
word"glinting"
count1
6
word"potential"
count2
7
word"echoed"
count1
8
word"tracing"
count1
9
word"predator"
count1
10
word"silence"
count1
11
word"fleeting"
count1
12
word"crystal"
count1
highlights
0"familiar"
1"weight"
2"stark"
3"flicker"
4"tangible"
5"glinting"
6"potential"
7"echoed"
8"tracing"
9"predator"
10"silence"
11"fleeting"
12"crystal"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"hung in the air"
count1
highlights
0"hung in the air"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells1
narrationSentences95
matches
0"A flicker of surprise"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences95
filterMatches(empty)
hedgeMatches
0"try to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences120
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen51
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans2
markdownWords8
totalWords1414
ratio0.006
matches
0"Waste"
1"Ungrateful. Hysterical. A waste of my time."
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions15
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions26
wordCount1007
uniqueNames14
maxNameDensity0.6
worstName"Silas"
maxWindowNameDensity1
worstWindowName"Silas"
discoveredNames
Raven1
Nest1
Tuesday1
Scotch2
Yu-Fei1
London2
Cardiff2
Silas6
Charles1
Bridge1
Prague1
Eva1
Evan3
Aurora3
persons
0"Scotch"
1"Silas"
2"Eva"
3"Evan"
4"Aurora"
places
0"Raven"
1"London"
2"Cardiff"
3"Charles"
4"Bridge"
5"Prague"
globalScore1
windowScore1
81.51% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences73
glossingSentenceCount2
matches
0"felt like a second skin"
1"as if correcting a minor factual error"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.707
wordCount1414
matches
0"not as a regret, but as a fact"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences120
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs46
mean30.74
std19.64
cv0.639
sampleLengths
060
18
215
352
422
563
645
73
829
98
1032
1140
124
1369
144
1521
1612
1742
1830
1967
202
2131
2230
2338
2430
2526
2663
278
2821
2922
3022
3129
326
3352
3454
3560
3621
3744
3848
3930
402
4117
4224
4330
4464
4514
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences95
matches
0"was gone"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs155
matches
0"was polishing"
1"was leaving"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences120
ratio0
matches(empty)
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1016
adjectiveStacks1
stackExamples
0"cross-examining moot court"
adverbCount33
adverbRatio0.03248031496062992
lyAdverbCount13
lyAdverbRatio0.012795275590551181
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences120
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences120
mean11.78
std7.99
cv0.678
sampleLengths
014
124
27
315
46
52
68
77
815
94
1018
1115
1222
1318
1425
1519
161
1713
1814
1918
203
2111
226
2312
248
2513
2612
277
287
2926
307
314
323
3312
3432
3522
364
378
3813
3912
4016
4126
4220
4310
4410
4551
466
472
4816
4915
42.22% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats16
diversityRatio0.3333333333333333
totalSentences120
uniqueOpeners40
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences90
matches(empty)
ratio0
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount55
totalSentences90
matches
0"It was a Tuesday, slow"
1"She slid onto her usual"
2"He set the glass down"
3"He poured two fingers of"
4"It was their ritual."
5"She’d just finished her last"
6"He’d filled out, the lanky"
7"His face was harder, the"
8"His gaze swept the room,"
9"He walked over, the click"
10"Her fingers tightened around the"
11"Her voice was steadier than"
12"He gestured to the stool"
13"He shrugged off his coat,"
14"He signaled Silas with a"
15"He turned back to her,"
16"His drink arrived."
17"He swirled the amber liquid,"
18"He finally looked at her"
19"He chuckled, a dry, humorless"
ratio0.611
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount88
totalSentences90
matches
0"The green neon sign buzzed"
1"Aurora pushed open the heavy"
2"It was a Tuesday, slow"
3"Silas was polishing a glass"
4"She slid onto her usual"
5"He set the glass down"
6"He poured two fingers of"
7"It was their ritual."
8"She’d just finished her last"
9"The first sip was fire"
10"The door creaked open again,"
11"He’d filled out, the lanky"
12"The expensive cut of his"
13"His face was harder, the"
14"His gaze swept the room,"
15"A flicker of surprise, then"
16"He walked over, the click"
17"Aurora felt the stool beneath"
18"Her fingers tightened around the"
19"Silas had stopped polishing, his"
ratio0.978
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences90
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences44
technicalSentenceCount1
matches
0"The one who’d held her hand during her mother’s illness, who’d quizzed her for exams until dawn."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags14
uselessAdditionCount5
matches
0"he pressed, his gaze sharpening"
1"He shook, a parody of regret"
2"He said, as if correcting a minor factual error"
3"he said, his voice lower now, losing some of its polished edge"
4"she said, her voice flat"
76.83% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags7
fancyCount3
fancyTags
0"He chuckled (chuckle)"
1"he pressed (press)"
2"he murmured (murmur)"
dialogueSentences41
tagDensity0.171
leniency0.341
rawRatio0.429
effectiveRatio0.146
77.7104%