Run: 2026-02-25-01KJBDQZM7FHXN5CST1GFJ4R1N

Run Details

Duration:
34.0s
Cost:
$0.016064
Provider:
Alibaba

Model input

System
You are an expert novelist with a gift for vivid, immersive prose. You write in tight third-person limited point of view with a strong narrative voice. Your prose is clean, precise, and engaging — you favor strong verbs, concrete details, and natural-sounding dialogue. You will be given a story bible (codex) containing canonical details about characters, locations, items, and lore. Use these details to ground your writing in the established world. Stay consistent with the codex. Write only the prose of the scene. Do not include titles, chapter headings, markdown formatting, or any commentary before or after the scene.
User/Human
<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> 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.

Model response

AI
The green neon sign above the door buzzed with a low, electric hum that vibrated in Aurora’s teeth before she even pushed the handle. It was a sound she had come to associate with the end of the day, the threshold between the chaotic streets of Soho and the quiet, shadowed safety of The Raven’s Nest. She pushed inside, the bell chiming a dull note against the silence. The air inside was thick with the scent of old wood, stale tobacco, and the faint, metallic tang of rain. Aurora shook the damp from her black hair, letting the water drip onto the worn floorboards. She was tired. Her legs ached from six hours on a delivery bike, weaving through London traffic with a heavy box of dumplings balanced on her back. She moved toward the bar, her eyes scanning the room. It was usually her sanctuary, a place where she didn't have to think about Evan or the court dates that had driven her from Cardiff. Silas was behind the counter, polishing a glass with a slow, deliberate motion. He looked up, his hazel eyes catching the dim light. He wore his usual grey-streaked auburn hair trimmed close, the beard neat against his jaw. He did not smile, but he nodded, a gesture of quiet acknowledgment. He was the only constant in her life since she fled. Aurora reached the bar and set her bag down. She needed a whiskey, something to burn the fatigue out of her throat. She turned to the mirror behind the bottles, catching her reflection. Her eyes were bright blue, but they looked tired, the skin beneath them shadowed. She caught the small crescent-shaped scar on her left wrist, a pale line against her skin. She rubbed her thumb over it, a nervous tic she hadn't been able to break. She was about to speak to Silas when a voice cut through the quiet. Rory. Aurora froze. She knew that voice. It belonged to a time before the abuse, before the flight, before the delivery uniform. She turned slowly. Sitting at a corner table, bathed in the amber glow of a wall sconce, was a woman who looked like a ghost from a different life. It was Eva. But the Eva from her memory was wearing a coat that cost more than Aurora’s monthly rent, her hair styled in a sharp, severe bob that framed a face devoid of the warmth Aurora remembered. Eva stood up. She was taller than Aurora remembered, her posture rigid, her movements precise. I didn't think you'd be here, Eva said. Her voice was smooth, devoid of the lilt they had shared in university lecture halls. I live above it, Aurora said. She felt the words come out flat, defensive. Eva smiled, but it didn't reach her eyes. I know. I just didn't expect to see you. Not like this. Aurora looked down at her delivery jacket, the grease stains on the hem. She looked back up at Eva, who was pristine. There was a weight in the air, a physical pressure that made the bar feel smaller. They were two friends who hadn't seen each other in three years, bridged by a decade of shared history and a chasm of choices. Come sit, Eva said. She gestured to the chair opposite her. Aurora hesitated. She wanted to go upstairs, to her flat, to the safety of her bed. But she couldn't leave. She walked over and sat. Silas appeared at her elbow with a glass of whiskey, no ice. He placed it on the coaster with a silver signet ring glinting on his right hand. He glanced at Eva, his gaze lingering a fraction of a second too long, before moving away to attend to the door as a new customer entered. He knew the look in Eva’s eyes. He had seen it before in Prague, in the eyes of handlers who didn't care about the people they moved around like pawns. You look well, Aurora said. I am well, Eva replied. She didn't ask how Aurora was. She didn't ask about the job, or the flat, or the reason she had run. She took a sip of her wine, a vintage red that cost more than the whiskey in front of Aurora. How is London treating you? Aurora asked. It treats me as it should. Efficiently. Aurora wrapped her hand around the glass. The scar on her wrist throbbed. She remembered the day Eva had told her to leave Cardiff. It had been the only time Eva had ever been afraid for her. Now, Eva looked like she was afraid of nothing, or perhaps everything. I heard you got a job at the firm, Aurora said. Senior Associate. That’s... that’s great, Eva. Eva set the glass down. It made a sharp click against the wood. I’m here because I wanted to see you. To see if you were okay. I’m here, aren’t I? You’re here, but you’re not the Rory I knew. The words hung in the air, heavy and sharp. Aurora felt the sting of them. She had thought she had escaped the past, but here it was, sitting across from her in a tailored coat. I had to change, Aurora said. You did. You look like you’re surviving. I am surviving. Eva leaned forward. The light caught the coldness in her expression. I could help you. Get you out of the delivery work. Get you a real job. You have the degree. You have the mind. Aurora looked at the scar on her wrist. It was a reminder of the accident that had started it all, the one that had led to the ex, the one that had led to the fear. She looked at Eva, the friend who had pulled her out of the fire, only to try and drag her back into a different kind of cage. I’m not sure I want a real job, Eva. I’m sure I don’t want the one you’re offering. Eva sat back. She looked at Silas, who was watching them from the shadows of the bookshelf that hid the secret room. She knew he was listening. Everyone in the Nest listened. You’re making a mistake, Eva said. Maybe. But it’s mine. Eva stood up again. She picked up her coat. She looked at Aurora one last time, a flicker of something human crossing her face before the mask slid back into place. Don’t call me if you change your mind. I won’t. Eva turned and walked out into the rain. The bell chimed again, a lonely sound. Aurora sat alone at the table, the whiskey untouched. She watched the green neon sign through the window, the light flickering in the wet glass. Silas walked over, wiping his hands on a rag. He didn't ask what had happened. He just placed a fresh coaster in front of her. She lifted the glass. The liquid was dark, reflecting the maps on the wall behind the bar. She thought of the life she had left in Cardiff, the life she had built in London, and the life she had lost in the space between. She took a drink. It burned, just like she wanted. Silas leaned against the bar, his slight limp visible as he shifted his weight. He looked at her, his hazel eyes softening. She was always like that, Silas said. Who? Eva. She thinks the world is a puzzle to be solved. She forgets that people aren't pieces. Aurora traced the rim of the glass. I know. You stayed. I stayed. Silas nodded. He turned back to the bottles, his silver ring catching the light. The bar was quiet again, the weight of the moment settling into the wood and the shadows. Aurora finished her drink, the warmth spreading through her chest, and for the first time that night, she felt steady. She was not the girl who had fled. She was the woman who had survived. And that was enough.
created_at"2026-02-25T22:12:05.903Z" 2/25/2026, 10:12:05 PM
model"qwen/qwen3.5-122b-a10b-20260224"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency477
moderation_latency(null)
generation_time33851
tokens_prompt867
tokens_completion5193
native_tokens_prompt865
native_tokens_completion4912
native_tokens_completion_images(null)
native_tokens_reasoning3192
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"
usage0.0160644
router(null)
provider_responses
0
endpoint_id"33d466d1-d2f7-45ed-8ff3-fda7d2e32351"
id"chatcmpl-7f91b4e5-4069-98ef-8b5a-926e35d90f49"
is_byokfalse
latency477
model_permaslug"qwen/qwen3.5-122b-a10b-20260224"
provider_name"Alibaba"
status200
api_type"completions"
id"gen-1772057525-TqqMxdmwRF2KaSftaH2F"
upstream_id"chatcmpl-7f91b4e5-4069-98ef-8b5a-926e35d90f49"
total_cost0.0160644
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
96.25% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1333
totalAiIsmAdverbs1
found
0
adverb"slowly"
count1
highlights
0"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)
32.48% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1333
totalAiIsms18
found
0
word"electric"
count1
1
word"vibrated"
count1
2
word"chaotic"
count1
3
word"silence"
count1
4
word"scanning"
count1
5
word"sanctuary"
count1
6
word"warmth"
count2
7
word"lilt"
count1
8
word"pristine"
count1
9
word"weight"
count3
10
word"glinting"
count1
11
word"throbbed"
count1
12
word"reminder"
count1
13
word"flicker"
count1
14
word"traced"
count1
highlights
0"electric"
1"vibrated"
2"chaotic"
3"silence"
4"scanning"
5"sanctuary"
6"warmth"
7"lilt"
8"pristine"
9"weight"
10"glinting"
11"throbbed"
12"reminder"
13"flicker"
14"traced"
66.67% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches2
maxInWindow2
found
0
label"weight of words/silence"
count1
1
label"hung in the air"
count1
highlights
0"the weight of the moment"
1"hung in the air"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells2
narrationSentences139
matches
0"was afraid"
1"felt the sting"
81.19% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount5
hedgeCount1
narrationSentences139
filterMatches
0"know"
1"feel"
2"look"
hedgeMatches
0"tend to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences139
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen35
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1333
ratio0
matches(empty)
0.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions13
unquotedAttributions7
matches
0"I live above it, Aurora said."
1"Come sit, Eva said."
2"You look well, Aurora said."
3"I am well, Eva replied."
4"I heard you got a job at the firm, Aurora said."
5"I had to change, Aurora said."
6"She was always like that, Silas said."
33.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions77
wordCount1333
uniqueNames13
maxNameDensity1.73
worstName"Aurora"
maxWindowNameDensity4
worstWindowName"Eva"
discoveredNames
Aurora23
Soho1
Raven1
Nest2
London3
Evan1
Cardiff3
Silas8
Eva23
Prague1
Associate1
Rory2
You8
persons
0"Aurora"
1"Raven"
2"Evan"
3"Silas"
4"Eva"
5"Rory"
6"You"
places
0"Soho"
1"London"
2"Cardiff"
3"Prague"
4"Associate"
globalScore0.637
windowScore0.333
95.05% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences91
glossingSentenceCount2
matches
0"looked like a ghost from a different life"
1"looked like she was afraid of nothing, or"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1333
matches(empty)
94.72% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount3
totalSentences139
matches
0"knew that voice"
1"like that, Silas"
2"forgets that people"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs51
mean26.14
std25.37
cv0.971
sampleLengths
088
178
261
378
414
51
624
764
815
923
1014
1120
1262
1311
1425
1585
165
1746
187
197
2049
2111
222
234
2427
254
269
2735
286
297
303
3135
3263
3318
3432
356
364
3731
388
392
4015
4150
4254
4322
447
451
4617
479
482
492
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences139
matches(empty)
94.18% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs252
matches
0"was wearing"
1"was, sitting"
2"was watching"
3"was listening"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences139
ratio0
matches(empty)
88.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1335
adjectiveStacks2
stackExamples
0"usual grey-streaked auburn"
1"small crescent-shaped scar"
adverbCount32
adverbRatio0.02397003745318352
lyAdverbCount8
lyAdverbRatio0.00599250936329588
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences139
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences139
mean9.59
std7.23
cv0.754
sampleLengths
024
132
212
320
416
53
624
710
825
913
1010
1115
1212
1311
149
1513
1611
1714
1816
1915
2014
211
222
234
2415
253
2626
273
2835
293
3012
318
3215
336
348
358
362
377
383
3913
409
4116
4224
434
447
452
4614
474
485
4912
33.45% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats23
diversityRatio0.20863309352517986
totalSentences139
uniqueOpeners29
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences122
matches(empty)
ratio0
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount78
totalSentences122
matches
0"It was a sound she"
1"She pushed inside, the bell"
2"She was tired."
3"Her legs ached from six"
4"She moved toward the bar,"
5"It was usually her sanctuary,"
6"He looked up, his hazel"
7"He wore his usual grey-streaked"
8"He did not smile, but"
9"He was the only constant"
10"She needed a whiskey, something"
11"She turned to the mirror"
12"Her eyes were bright blue,"
13"She caught the small crescent-shaped"
14"She rubbed her thumb over"
15"She was about to speak"
16"She knew that voice."
17"It belonged to a time"
18"She turned slowly."
19"It was Eva."
ratio0.639
17.38% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount108
totalSentences122
matches
0"The green neon sign above"
1"It was a sound she"
2"She pushed inside, the bell"
3"The air inside was thick"
4"Aurora shook the damp from"
5"She was tired."
6"Her legs ached from six"
7"She moved toward the bar,"
8"It was usually her sanctuary,"
9"Silas was behind the counter,"
10"He looked up, his hazel"
11"He wore his usual grey-streaked"
12"He did not smile, but"
13"He was the only constant"
14"Aurora reached the bar and"
15"She needed a whiskey, something"
16"She turned to the mirror"
17"Her eyes were bright blue,"
18"She caught the small crescent-shaped"
19"She rubbed her thumb over"
ratio0.885
81.97% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences122
matches
0"Now, Eva looked like she"
1"To see if you were"
ratio0.016
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences52
technicalSentenceCount3
matches
0"The green neon sign above the door buzzed with a low, electric hum that vibrated in Aurora’s teeth before she even pushed the handle."
1"But the Eva from her memory was wearing a coat that cost more than Aurora’s monthly rent, her hair styled in a sharp, severe bob that framed a face devoid of th…"
2"He glanced at Eva, his gaze lingering a fraction of a second too long, before moving away to attend to the door as a new customer entered."
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
77.1560%