Run: 2026-03-25-01KMJ8WDW8G7H5VRY280E4WAQX

Run Details

Duration:
1m 49s
Cost:
$0.001270
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 flicker of *The Raven’s Nest* pulsed against the wet pavement like a slow, tired heartbeat. Rain had slicked the Soho streets into mirrors, reflecting fractured glimpses of life inside — amber lamplight, shifting silhouettes, the occasional flare of a cigarette from someone who hadn’t gotten the memo about indoor bans. Inside, the air was thick with old wood, bourbon, and the low hum of jazz piano—*‘Round Midnight* played in a lazy, off-temperament loop from a record player behind the bar. Aurora sat near the back, one boot propped on the rail beneath her stool, her long black hair half-tucked under a damp leather jacket. She swirled a glass of neat Jameson, idly watching the ice surrender to the alcohol. Her left wrist turned, the faint crescent of scar catching the lamplight each time she moved. She hadn’t been to this bar in months. Not since she’d moved above it. “Didn’t think I’d find you in a place like this,” said a voice—low, amused, uncertain. She looked up. Eva stood in the dim haze near the pool table, half in shadow, half in light. Her once-wild curls were now tightly coiled at the nape of her neck, pinned with a silver clip. She wore a tailored navy coat, heels that didn’t belong on Soho’s cobbled lanes, and a gaze that had learned to measure before it trusted. Aurora’s glass paused mid-swirl. “Eva.” The name came out like something exhumed. Eva slid into the booth across from her, not waiting for invitation. “I walked past the flat. Silas said you were here.” She didn’t take off her coat. Didn’t order a drink. Just folded her hands on the table, eyes locked. “You look…” Aurora started, then stopped. The word *different* hovered. So did *older*, but that wasn’t it. Eva had *condensed*. Like she’d been pressed into a smaller, denser form—everything still recognisable, but hardened, compressed under some invisible weight. “You haven’t changed a bit,” Eva said, voice too smooth. “Still drowning in Jameson like it’s 2016.” Aurora’s jaw tightened almost imperceptibly. “Some habits stick.” “Some habits nearly kill you.” Silence settled between them, thick as smoke. Outside, a taxi door slammed. The record needle hissed. “You live above the bar now?” Eva asked. “Above Silas’,” Aurora corrected. “He gives me rent in trade for helping at Golden Empress.” “You deliver food?” “I ride through the city in the rain. Sometimes I miss turns. Sometimes I don’t.” A dry laugh from Eva. “Always answering a question like a riddle.” “Always asking one like a test.” They stared. The past yawned open — years, choices, a narrow flat in Hackney where they’d shared takeaways and secrets, where Aurora had shown up one night with bruised knuckles and a split lip, whispering *I left him*, and Eva had packed her bags without a single question. They had burned that life down together, or so Aurora had thought. “You didn’t call,” Aurora said quietly. “I sent letters.” “To an old address. To a dead name.” Eva’s fingers tapped once on the table. “You changed everything. Phone. Name. Even your handwriting. I found you by accident, Rory. By *accident*.” “Laila was a placeholder,” Aurora said. “Carter is my name. Always was.” “Then why disappear?” Aurora didn’t answer right away. She looked past Eva, past the cracked mirror behind the bar, to the bookshelf near the restrooms. She knew what hid behind it. Silas had shown her last winter, after a man in a trench coat had asked too many questions about *the girl who works the north runs*. “Because vanishing,” she said, “was the only way to make sure he wouldn’t find me. And that *I* wouldn’t go back.” Eva’s expression didn’t soften. “You could’ve let *me* know you were alive.” “You didn’t need my chaos.” “I needed my friend.” “You had your life. Law school. Your father’s firm. You weren’t going to drop it for someone who—” “Who what? Who scared? Broken? Rory, I *knew* who you were.” Aurora looked down. Her scar pulsed faintly—old nerves, old memory. The night Evan had grabbed her wrist with a bottle, screaming that she belonged to him. Eva had been the one to bandage it. Eva had held her while she shook. “You don’t get it,” Aurora said. “I wasn’t *scared*. I was *angry*. And angry Rory does stupid things. Dangerous things. I didn’t want you near that version of me.” “And now?” “Now?” A faint, crooked smile. “Now I don’t answer phones that ring after midnight. I don’t walk down alleys alone. I don’t date. I deliver noodles and pay rent by sweeping floors. I go to bed before two. I’m *safe*.” Eva studied her—really studied her—the way a translator might examine a faded manuscript, trying to reconstruct meaning from gaps. “You used to stay up all night reading philosophy,” she said. “You wanted to argue about justice, not deliver pad thai to tourists.” “That Rory didn’t know what justice cost.” The jukebox clicked. Silence. Eva leaned forward, elbows on the table. “Do you ever think about coming back? Cardiff? Your dad? Even your mum?” “My mother sends letters to the flat. I read them. I don’t reply.” “Why?” “They think I’m adrift. That I’ll come home when I’ve grown up.” She looked up, eyes bright blue and clear. “But I’m not adrift, Eva. I’m anchored.” “To what?” “The fact that I’m still here.” A long pause. “You know,” Eva said softly, “I passed the bar last year. Took your father’s old chambers in Cardiff.” Aurora blinked. “Brendan Carter’s practice?” “I kept the name. Honoured the sign on the door.” She hesitated. “He asks about you. Every time.” Aurora turned her glass again. “He wanted me in law.” “And you walked away.” “I ran.” “From him? From the career?” “From everything that made me feel like I had to be *somebody*.” Eva exhaled slowly. “You were already somebody.” Outside, the rain slowed to a drizzle. The neon buzzed. Then, heavy footsteps. Silas emerged from behind the bookshelf, his silhouette sharp against the dim back room. He moved slow, favouring his left leg, the silver signet on his right hand catching the light as he reached for a bottle. His eyes found Aurora. Then Eva. He didn’t smile. Didn’t interfere. Just poured himself two fingers of bourbon and retreated toward the end of the bar, leaving space like a seasoned conductor knows when to lower the baton. Eva watched him. “That’s Silas Blackwood, isn’t he? The one they said used to work for MI6?” Aurora didn’t look. “He owns the place.” “He looks like a man who knows how to keep secrets.” “He does.” “You involved in… whatever he’s running back there?” “No.” A beat. “Not officially.” Eva studied her—really looked this time. Not at the leather jacket, not at the still-young face, but at the stillness beneath it. The quiet in her hands. The way she didn’t flinch at sudden noises. The way she scanned exits. “You’re not just hiding,” Eva said finally. “You’re watching.” Aurora sipped her drink. “Somebody has to.” The record ended. The needle lifted. The silence that followed was not empty. It was full of everything they hadn’t said—years of unsent letters, birthdays missed, grief folded into pockets and worn like talismans. The weight wasn’t in the words. It was in the spaces between. In the fact that Eva still wore the silver locket Rory had given her for her twenty-first. In the way Rory still kept Eva’s old number memorised, though she’d never call. “I should go,” Eva said, standing. Aurora didn’t stop her. But as Eva turned, coat swinging around her ankles, she paused. “You were my best friend,” she said, not looking back. “And you left me like I was part of the fire.” Aurora closed her eyes. When she opened them, Eva was gone. The door hadn’t even finished swinging shut. Silas appeared beside her booth, wiping a glass with a cloth. “She lasted longer than I thought,” he said. Aurora stared at her glass. “You listened?” “Hearing isn’t listening. Knowing when not to intervene—that’s skill.” She said nothing. After a while, Silas placed the bourbon bottle on the table and poured her another inch. “Some people,” he said, “don’t understand that running isn’t cowardice. Sometimes it’s the only honest thing left.”
created_at"2026-03-25T10:33:13.356Z" 3/25/2026, 10:33:13 AM
model"qwen/qwen3-235b-a22b-07-25"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1782
moderation_latency(null)
generation_time109431
tokens_prompt1094
tokens_completion2332
native_tokens_prompt1012
native_tokens_completion1965
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"
usage0.00127008
router(null)
provider_responses
0
endpoint_id"ce835ea8-00c7-4686-831d-7733dac5e2d9"
id"019d248e3aef7fa532fa1b3545667d7a"
is_byokfalse
latency1782
model_permaslug"qwen/qwen3-235b-a22b-07-25"
provider_name"SiliconFlow"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1774434793-EgYGRLSpnqO14CjMrFcX"
upstream_id"019d248e3aef7fa532fa1b3545667d7a"
total_cost0.00127008
cache_discount(null)
upstream_inference_cost0
provider_name"SiliconFlow"

Evaluation details

Result Evaluator Details Meta Data
85.71% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags20
adverbTagCount4
adverbTags
0"Aurora started then [then]"
1"Aurora said quietly [quietly]"
2"Eva said softly [softly]"
3"Eva said finally [finally]"
dialogueSentences70
tagDensity0.286
leniency0.571
rawRatio0.2
effectiveRatio0.114
82.03% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1391
totalAiIsmAdverbs5
found
0
adverb"tightly"
count1
1
adverb"really"
count2
2
adverb"softly"
count1
3
adverb"slowly"
count1
highlights
0"tightly"
1"really"
2"softly"
3"slowly"
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)
60.46% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1391
totalAiIsms11
found
0
word"flicker"
count1
1
word"pulsed"
count2
2
word"fractured"
count1
3
word"weight"
count2
4
word"silence"
count3
5
word"footsteps"
count1
6
word"scanned"
count1
highlights
0"flicker"
1"pulsed"
2"fractured"
3"weight"
4"silence"
5"footsteps"
6"scanned"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"air was thick with"
count1
highlights
0"the air was thick with"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences104
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences104
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences152
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen45
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans15
markdownWords26
totalWords1385
ratio0.019
matches
0"The Raven’s Nest"
1"‘Round Midnight"
2"different"
3"older"
4"condensed"
5"I left him"
6"accident"
7"the girl who works the north runs"
8"I"
9"me"
10"knew"
11"scared"
12"angry"
13"safe"
14"somebody"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions27
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions59
wordCount869
uniqueNames10
maxNameDensity2.88
worstName"Eva"
maxWindowNameDensity5
worstWindowName"Eva"
discoveredNames
Raven1
Soho2
Jameson1
Eva25
Didn2
Aurora20
Hackney1
Evan1
Rory2
Silas4
persons
0"Raven"
1"Jameson"
2"Eva"
3"Aurora"
4"Evan"
5"Rory"
6"Silas"
places
0"Soho"
1"Hackney"
globalScore0.062
windowScore0
98.98% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences49
glossingSentenceCount1
matches
0"appeared beside her booth, wiping a glass with a cloth"
55.60% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches2
per1kWords1.444
wordCount1385
matches
0"Not at the leather jacket, not at the still-young face, but at the stillness beneath it"
1"not at the still-young face, but at the stillness beneath it"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount2
totalSentences152
matches
0"burned that life"
1"screaming that she"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs83
mean16.69
std17.58
cv1.054
sampleLengths
083
169
215
33
459
54
68
741
838
917
108
115
1216
138
1415
153
1615
1712
186
1960
206
213
228
2323
2412
253
2654
2721
2812
295
304
3118
3211
3341
3429
352
3640
3719
3823
397
404
4120
4213
431
4427
452
466
473
4818
495
98.52% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences104
matches
0"been pressed"
1"was gone"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs169
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount10
semicolonCount0
flaggedSentences9
totalSentences152
ratio0.059
matches
0"Rain had slicked the Soho streets into mirrors, reflecting fractured glimpses of life inside — amber lamplight, shifting silhouettes, the occasional flare of a cigarette from someone who hadn’t gotten the memo about indoor bans."
1"Inside, the air was thick with old wood, bourbon, and the low hum of jazz piano—*‘Round Midnight* played in a lazy, off-temperament loop from a record player behind the bar."
2"“Didn’t think I’d find you in a place like this,” said a voice—low, amused, uncertain."
3"Like she’d been pressed into a smaller, denser form—everything still recognisable, but hardened, compressed under some invisible weight."
4"The past yawned open — years, choices, a narrow flat in Hackney where they’d shared takeaways and secrets, where Aurora had shown up one night with bruised knuckles and a split lip, whispering *I left him*, and Eva had packed her bags without a single question."
5"Her scar pulsed faintly—old nerves, old memory."
6"Eva studied her—really studied her—the way a translator might examine a faded manuscript, trying to reconstruct meaning from gaps."
7"Eva studied her—really looked this time."
8"It was full of everything they hadn’t said—years of unsent letters, birthdays missed, grief folded into pockets and worn like talismans."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount880
adjectiveStacks0
stackExamples(empty)
adverbCount31
adverbRatio0.035227272727272725
lyAdverbCount10
lyAdverbRatio0.011363636363636364
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences152
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences152
mean9.11
std7.5
cv0.824
sampleLengths
018
135
230
324
415
516
68
76
815
93
1016
1118
1225
134
148
1512
1616
174
189
196
204
217
223
2318
2410
257
265
273
285
297
305
314
328
334
3411
353
3615
375
387
396
402
4146
4212
436
443
458
467
4716
486
496
40.35% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats17
diversityRatio0.3092105263157895
totalSentences152
uniqueOpeners47
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences89
matches
0"Just folded her hands on"
1"Then, heavy footsteps."
2"Just poured himself two fingers"
ratio0.034
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount19
totalSentences89
matches
0"She swirled a glass of"
1"Her left wrist turned, the"
2"She hadn’t been to this"
3"She looked up."
4"Her once-wild curls were now"
5"She wore a tailored navy"
6"She didn’t take off her"
7"They had burned that life"
8"She looked past Eva, past"
9"She knew what hid behind"
10"Her scar pulsed faintly—old nerves,"
11"She looked up, eyes bright"
12"He moved slow, favouring his"
13"His eyes found Aurora."
14"He didn’t smile."
15"It was full of everything"
16"It was in the spaces"
17"she said, not looking back"
18"She said nothing."
ratio0.213
61.12% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount71
totalSentences89
matches
0"The green neon flicker of"
1"Rain had slicked the Soho"
2"Aurora sat near the back,"
3"She swirled a glass of"
4"Her left wrist turned, the"
5"She hadn’t been to this"
6"She looked up."
7"Eva stood in the dim"
8"Her once-wild curls were now"
9"She wore a tailored navy"
10"Aurora’s glass paused mid-swirl."
11"The name came out like"
12"Eva slid into the booth"
13"She didn’t take off her"
14"Aurora started, then stopped"
15"The word *different* hovered."
16"Eva had *condensed*."
17"Eva said, voice too smooth"
18"Aurora’s jaw tightened almost imperceptibly."
19"The record needle hissed."
ratio0.798
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences89
matches(empty)
ratio0
89.95% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences27
technicalSentenceCount2
matches
0"Rain had slicked the Soho streets into mirrors, reflecting fractured glimpses of life inside — amber lamplight, shifting silhouettes, the occasional flare of a …"
1"Silas had shown her last winter, after a man in a trench coat had asked too many questions about *the girl who works the north runs*."
50.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags20
uselessAdditionCount3
matches
0"Eva said, voice too smooth"
1"She looked up, eyes bright blue and clear"
2"she said, not looking back"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags15
fancyCount1
fancyTags
0"Aurora corrected (correct)"
dialogueSentences70
tagDensity0.214
leniency0.429
rawRatio0.067
effectiveRatio0.029
80.7571%