Run: 2026-02-19-01KHTXHA56B12YXEN9BPSPYDDV

Run Details

Duration:
1m 31s
Cost:
$0.019616
Provider:
Alibaba

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 pallor over the wet pavement of Soho. Aurora Carter pushed open the heavy oak door of The Raven's Nest and stepped out of the rain. Water dripped from the hem of her jacket onto the worn floorboards. The air inside smelled of stale beer, lemon polish, and old paper. Maps covered the walls, their edges curling in the humidity. Black-and-white photographs watched from the shadows, faces frozen in moments long past. She moved toward the bar, her boots making no sound on the wood. The place was empty save for one man polishing a glass behind the counter. He wore a white shirt with the sleeves rolled up to the elbows. Grey streaks ran through his auburn hair. A neat beard framed a jawline that looked carved from stone. He set the glass down and looked up. Hazel eyes met bright blue. The man's hand paused on the counter. He wore a silver signet ring on his right hand. The metal caught the dim light. Aurora stopped three feet from the bar. She placed her hands on the surface. The wood felt cool under her palms. She turned her left wrist slightly. The crescent-shaped scar stood out against her skin, pale and thin. Silas Blackwood straightened his spine. He stepped around the end of the bar. A slight limp dragged his left leg with each step. He stopped in front of her. You look like your father. His voice was low, rough like gravel under a boot. People tell me that. Aurora kept her gaze fixed on the bottles behind him. Rows of amber and green glass lined the shelves. Dust motes danced in the light from the neon sign outside. They told me you were dead. Silas reached for a bottle of whiskey. He poured two fingers into a tumbler. He slid it across the wood. The liquid sloshed against the side. I heard you were in Cardiff. Studying law. I left. She wrapped her fingers around the glass. The warmth seeped into her skin. She did not drink. You left everything. I left what I needed to leave. Silas leaned against the bar. He crossed his arms over his chest. The fabric of his shirt pulled tight across his shoulders. Eva told me you were coming to London. She did not tell me you would walk through my door. I did not know this was your place. Aurora looked around the room. The maps showed borders that no longer existed. The photographs depicted men in suits standing outside buildings that had been bombed out during the war. You live upstairs. I sleep upstairs. I do not come down. Silas nodded. He tapped his signet ring against the wood. A dull thud echoed in the quiet room. Why tonight? The rain got worse. Aurora lifted the glass. She took a sip. The whiskey burned her throat. She set the glass down. You changed. Time does that. You look tired. Silas rubbed his left knee. His fingers pressed into the fabric of his trousers. The knee gives me trouble when it rains. Old injury. Prague. I remember you walking without a limp. You were ten years younger. So was I. Silas walked around the bar again. He stood on the other side of the wood. He picked up a rag and wiped a spot on the counter. He wiped the same spot three times. Your father asked me to look out for you. Before he died. Aurora flinched. Her hand tightened around the glass. He is dead? Three years ago. Heart attack. She looked down at the drink. The amber liquid swirled as her hand shook. She stilled her hand. He never called. He did not know how. Silas tossed the rag into a sink behind him. It landed with a wet slap. You ran away from Evan. Aurora lifted her head. Her black hair fell across her face. She brushed it back with a sharp movement. How do you know that name? Eva talks. She worries. She should not have told you. She told me you needed a place. I gave you the flat. I did not ask questions. Aurora stepped back from the bar. The floorboard creaked under her weight. You knew him? I knew of him. Silas walked toward her. He stopped when he saw her shoulders tense. He raised his hands. Palms open. I am not him, Rory. Do not call me that. Silas dropped his hands. He turned away. He walked back to the shelves. He picked up a bottle of gin. He held it up to the light. Your mother taught me how to make a proper martini. In Cardiff. Before you were born. Aurora watched his back. The grey streaks in his hair looked like ash in the dim light. She loved this city. She loved you. Silas set the bottle down. He turned around. He leaned his hips against the counter. You have his eyes. I have my mother's eyes. You have his stubbornness. Aurora finished the whiskey. She set the glass on the counter. The clink sounded loud in the silence. I need to go upstairs. It is late. I know. The rain hammered against the window. The green neon sign flickered. A buzz filled the air, then stopped. The room plunged into darker shadow. Silas reached into his pocket. He pulled out a key. He placed it on the bar. For the back door. Less noise. Aurora looked at the key. Brass, worn smooth by touch. Why give me this? Because you will not ask for it. She picked up the key. The metal felt cold. She closed her fist around it. Thank you. Silas nodded. He picked up the glass she had used. He turned toward the sink. Rory. She stopped. Her hand rested on the door handle. Do not stay away so long next time. Aurora opened the door. The sound of the rain rushed in, loud and demanding. She stepped into the hallway. The light from the bar spilled onto the worn carpet. I make no promises. She pulled the door shut. The latch clicked. Silas stood behind the bar. He held the glass in both hands. He stared at the spot where she had stood. The wood retained the heat of her palms for a moment, then cooled. He set the glass in the sink. He turned off the tap. The silence returned to the room. He looked at the maps on the wall. The borders remained fixed. The people in the photographs remained still. He rubbed his knee again. He walked to the window. He looked out at the street. The green neon sign reflected in the puddles on the pavement. He turned back to the bar. He picked up the rag. He wiped the spot where she had placed her glass. He wiped it once. He wiped it twice. He set the rag down. He waited. The clock on the wall ticked. The sound measured the seconds. He poured another drink. He did not drink it. He watched the door.
created_at"2026-02-19T12:20:59.179Z" 2/19/2026, 12:20:59 PM
model"qwen/qwen3.5-397b-a17b-20260216"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency823
moderation_latency(null)
generation_time90451
tokens_prompt1094
tokens_completion5518
native_tokens_prompt1061
native_tokens_completion5272
native_tokens_completion_images(null)
native_tokens_reasoning3708
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"
usage0.0196158
router(null)
provider_responses
0
endpoint_id"ca5088a7-9042-417b-bdd4-4c1fdc8f16ee"
is_byokfalse
latency495
model_permaslug"qwen/qwen3.5-397b-a17b-20260216"
provider_name"AtlasCloud"
status429
1
endpoint_id"180484a2-e24b-495a-ba41-b34b680d5a9f"
id"chatcmpl-9775af73-7767-9eb6-814f-01a378d6ab35"
is_byokfalse
latency823
model_permaslug"qwen/qwen3.5-397b-a17b-20260216"
provider_name"Alibaba"
status200
api_type"completions"
id"gen-1771503659-p42Oiv3N70qSTXLhUExb"
upstream_id"chatcmpl-9775af73-7767-9eb6-814f-01a378d6ab35"
total_cost0.0196158
cache_discount(null)
upstream_inference_cost0
provider_name"Alibaba"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
95.79% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1188
totalAiIsmAdverbs1
found
0
adverb"slightly"
count1
highlights
0"slightly"
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)
70.54% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1188
totalAiIsms7
found
0
word"warmth"
count1
1
word"echoed"
count1
2
word"weight"
count1
3
word"silence"
count2
4
word"flickered"
count1
5
word"measured"
count1
highlights
0"warmth"
1"echoed"
2"weight"
3"silence"
4"flickered"
5"measured"
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
narrationSentences196
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount4
hedgeCount0
narrationSentences196
filterMatches
0"look"
1"know"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences196
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen18
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1185
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions0
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions46
wordCount1185
uniqueNames12
maxNameDensity1.1
worstName"Silas"
maxWindowNameDensity2.5
worstWindowName"You"
discoveredNames
Soho1
Carter1
Raven1
Nest1
Blackwood1
Cardiff2
London1
Evan1
Rory2
Aurora12
Silas13
You10
persons
0"Carter"
1"Raven"
2"Blackwood"
3"Evan"
4"Rory"
5"Aurora"
6"Silas"
7"You"
places
0"Soho"
1"Cardiff"
2"London"
globalScore0.951
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences97
glossingSentenceCount1
matches
0"looked like ash in the dim light"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1185
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences196
matches
0"know that name"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs82
mean14.45
std21.41
cv1.481
sampleLengths
080
171
223
338
429
55
610
74
830
96
1026
118
122
1317
143
157
1622
1719
188
1930
203
218
2218
232
244
2518
262
273
283
2914
3011
317
328
3334
3412
358
363
375
3818
393
405
4115
425
4319
446
454
466
4717
4812
493
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences196
matches
0"been bombed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs227
matches
0"were coming"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences196
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1188
adjectiveStacks0
stackExamples(empty)
adverbCount25
adverbRatio0.021043771043771045
lyAdverbCount2
lyAdverbRatio0.0016835016835016834
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences196
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences196
mean6.05
std3.04
cv0.503
sampleLengths
016
118
212
312
410
512
613
714
813
97
1011
118
125
137
1410
156
167
177
187
196
2011
215
228
2310
246
255
2610
274
2810
299
3011
316
327
337
346
356
366
372
382
397
406
414
423
437
445
457
4610
478
4811
498
33.67% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats32
diversityRatio0.20918367346938777
totalSentences196
uniqueOpeners41
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences176
matches(empty)
ratio0
1.82% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount96
totalSentences176
matches
0"She moved toward the bar,"
1"He wore a white shirt"
2"He set the glass down"
3"He wore a silver signet"
4"She placed her hands on"
5"She turned her left wrist"
6"He stepped around the end"
7"He stopped in front of"
8"You look like your father."
9"His voice was low, rough"
10"They told me you were"
11"He poured two fingers into"
12"He slid it across the"
13"I heard you were in"
14"She wrapped her fingers around"
15"She did not drink."
16"You left everything."
17"I left what I needed"
18"He crossed his arms over"
19"She did not tell me"
ratio0.545
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount164
totalSentences176
matches
0"The green neon sign buzzed"
1"Aurora Carter pushed open the"
2"Water dripped from the hem"
3"The air inside smelled of"
4"Maps covered the walls, their"
5"She moved toward the bar,"
6"The place was empty save"
7"He wore a white shirt"
8"A neat beard framed a"
9"He set the glass down"
10"Hazel eyes met bright blue."
11"The man's hand paused on"
12"He wore a silver signet"
13"The metal caught the dim"
14"Aurora stopped three feet from"
15"She placed her hands on"
16"The wood felt cool under"
17"She turned her left wrist"
18"The crescent-shaped scar stood out"
19"Silas Blackwood straightened his spine."
ratio0.932
85.23% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount3
totalSentences176
matches
0"Before he died."
1"Before you were born."
2"Because you will not ask"
ratio0.017
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences27
technicalSentenceCount1
matches
0"The photographs depicted men in suits standing outside buildings that had been bombed out during the war."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags0
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
85.6794%