Run: 2026-02-25-01KJBKS9C4V4RBFBA1GJR41G25

Run Details

Duration:
1m 27s
Cost:
$0.003225
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 buzzed overhead, casting a sickly, electric glow against the soot-stained brick of the Soho exterior. Inside, The Raven’s Nest smelled of stale lager, leather, and the faint, metallic tang of old maps spread across the tables. Rory pulled her coat tighter, the collar scratching against her neck, and pushed through the heavy oak door. She hadn’t been invited. She’d just come in to check on the lock on the back door, a habit Silas insisted on, though he told her she didn’t have to. She didn’t expect to see anyone, let alone her. The bar was empty, save for the shadows in the corners and the figure sitting at the end of the polished counter. He wasn’t Silas. He wasn’t the mentor she lived above, the quiet man with the grey-streaked auburn beard and the limp that dragged his left leg. This was someone else entirely. A stranger in the dim light. She stopped, her hand still on the latch. The figure turned. Time seemed to stutter, a mechanical fault in the brain, as her memory caught up with her face. Eva. She looked different. Gone was the vibrant, reckless hair she’d had in university, dyed every shade of the rainbow before her hairline began to recede. Eva was wearing a suit that fit well, tailored, expensive. But it was the eyes that hit Rory hardest. They had been brown once, warm, easy. Now they were flat, polished like river stones. “Rory,” Eva said. The name rolled off her tongue like a confession. “Eva,” Rory said. Her voice felt strange, unused. She didn’t know if she should smile. She settled for a tension in her throat that made her swallow hard. “I didn’t think you’d be here.” “Neither did I. I thought you might be in Cardiff.” Rory stepped away from the door, letting her keys jingle softly in her palm. She didn’t move further into the room, as if crossing too many steps would change the reality of the moment. “Did you?” “I got your letter. Three years ago.” Rory nodded. She touched her left wrist instinctively, her fingers brushing the small, crescent-shaped scar there. It was a childhood memory, a knife slip when she was ten, but lately it ached whenever the weather turned. She hated how physical the past had become. “London is loud, Eva. I thought you’d be quiet.” Eva picked up a glass of whiskey she hadn’t poured. She swirled it, the liquid catching the neon light. “Quiet is expensive. Silence is a luxury you have to pay for in this city.” Rory walked slowly toward the counter, keeping her distance. She looked at the map behind the bar, the old one pinned with red pins. She thought of Silas. If she were Silas, she’d have killed the mood. But Silas wasn’t here. He was probably upstairs in his hidden room, the one he used for clandestine meetings, sipping something stronger. But now she was here, with the friend who had told her to leave Evan, the friend who had handed her a train ticket to Soho and told her to run. “How long have you been in town?” Rory asked. “Two weeks. Working through a network. Intelligence side.” Eva shrugged, as if she were talking about the weather. Rory’s hand tightened on her keys. Intelligence. Not the delivery work she did for Yu-Fei’s restaurant. Not the pre-law degree she dropped. It clicked then. The change wasn’t just appearance; it was function. Eva had changed into something harder. “You left Cardiff,” Rory said softly. “I grew up. You stayed.” “I fled.” “I survived.” Eva set the glass down. The corked sound of her voice was like a gavel hitting wood. “Why did you write to me, Rory? It’s been years. I was under the impression you didn’t think I existed anymore.” Rory felt the heat rise in her cheeks. She looked at the floorboards, the worn wood where the bar stool had scraped against them. “I needed to know you were okay. That meant something, once. I couldn’t tell you why I left.” Eva’s eyes flicked to the scar on Rory’s wrist, then back to her face. “I know why you left. Evan.” Rory flinched. She hadn’t mentioned Evan to anyone since she left. “I hear things,” Eva said, her voice dropping. “I hear things everywhere. I keep track of people, Rory. That’s the job. I knew you were safe. I let you go. I let you run.” “Why?” Eva stood up. Her movement was fluid, no limp, no hesitation. She walked toward Rory, close enough to smell the expensive cologne and the stale smoke. She stopped a foot away. “Because I needed to know if you could,” Eva said. She reached out, and for a moment, it looked like she was going to touch Rory’s shoulder. She didn’t. She tapped the wall behind Rory instead, a sharp, rhythmic knock. “You’re still running.” Rory straightened her spine. Her bright blue eyes were fixed on Eva’s face, searching for the girl she’d known. But the girl was gone. In her place was a woman who knew the value of a door handle and the weight of a gun. “I’m not running anymore,” Rory said. “I have a job. I have a roof. I have a friend who owns this place.” “Silas,” Eva said. The name tasted like poison in her mouth. “Silas.” “You still trust ghosts, don’t you? Living with a Spymaster. A retired one.” “Retired people have legs,” Rory said, feeling brave. “Like mine.” She tapped her own shoulder, then looked her friend in the eye. “He’s just a man now. Just a neighbor.” Eva laughed, a dry, sharp sound. “He’s not retiring anymore, Rory. People don’t retire from the work they survived. They just stop talking about it.” She reached into her jacket and pulled out a piece of paper. A card. She slid it across the wooden counter. Rory didn’t touch it. “Why are you here, Eva?” Eva leaned against the counter, mirroring Rory’s posture. The years between them felt vast, like a canyon they couldn’t bridge. The unspoken weight of that time, the time they hadn’t spent laughing or crying, just the empty space between. “Because,” Eva said, her voice low, “the network is changing. Silas knows that. And you should too. You think you’re safe up there? Living above the nest?” “Is this a threat?” “It’s an observation.” Eva pushed off the counter and turned. She didn’t look back at the door she’d come through. “Don’t stay in the past, Rory. It’s heavy. It weighs you down.” “I don’t feel heavy.” Eva paused at the door. She looked back, the neon light cutting a strip across her face, shadowing her eyes. “Then you’ll never be free from it.” She stepped out into the Soho night, the bell above the door chiming once before falling silent. The green light buzzed. Rory stood there for a long time, her hand hovering over the card on the counter. She could feel the ghost of the scar on her wrist throbbing. The bar was quiet again, save for the hum of the neon and the distant sound of a siren. She wasn’t running anymore, she told herself. But the feeling of it lingered, heavier than the years she’d spent trying to outrun it.
created_at"2026-02-25T23:58:06.015Z" 2/25/2026, 11:58:06 PM
model"qwen/qwen3.5-flash-20260224"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency455
moderation_latency(null)
generation_time60902
tokens_prompt867
tokens_completion8264
native_tokens_prompt865
native_tokens_completion7847
native_tokens_completion_images(null)
native_tokens_reasoning6184
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"
usage0.0032253
router(null)
provider_responses
0
endpoint_id"5f6b71b5-8672-4b27-8b2d-f674429f9e63"
id"chatcmpl-0a49d18e-9281-9fa2-b849-acb60338c08e"
is_byokfalse
latency455
model_permaslug"qwen/qwen3.5-flash-20260224"
provider_name"Alibaba"
status200
api_type"completions"
id"gen-1772063886-N19R44FpYS8VcyGgBI7P"
upstream_id"chatcmpl-0a49d18e-9281-9fa2-b849-acb60338c08e"
total_cost0.0032253
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
totalTags15
adverbTagCount1
adverbTags
0"Rory said softly [softly]"
dialogueSentences38
tagDensity0.395
leniency0.789
rawRatio0.067
effectiveRatio0.053
87.73% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1222
totalAiIsmAdverbs3
found
0
adverb"softly"
count2
1
adverb"slowly"
count1
highlights
0"softly"
1"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)
54.99% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1222
totalAiIsms11
found
0
word"electric"
count1
1
word"mechanical"
count1
2
word"tension"
count1
3
word"silence"
count1
4
word"clandestine"
count1
5
word"flicked"
count1
6
word"rhythmic"
count1
7
word"weight"
count2
8
word"unspoken"
count1
9
word"could feel"
count1
highlights
0"electric"
1"mechanical"
2"tension"
3"silence"
4"clandestine"
5"flicked"
6"rhythmic"
7"weight"
8"unspoken"
9"could feel"
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
narrationSentences97
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount2
narrationSentences97
filterMatches(empty)
hedgeMatches
0"seemed to"
1"began 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
maxSentenceWordsSeen31
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1222
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions14
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions52
wordCount933
uniqueNames8
maxNameDensity2.25
worstName"Rory"
maxWindowNameDensity5
worstWindowName"Rory"
discoveredNames
Soho3
Raven1
Nest1
Silas5
Rory21
Evan2
Eva18
Yu-Fei1
persons
0"Nest"
1"Silas"
2"Rory"
3"Evan"
4"Eva"
5"Yu-Fei"
places
0"Soho"
1"Raven"
globalScore0.375
windowScore0
32.81% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences64
glossingSentenceCount3
matches
0"as if crossing too many steps would change the reality of the moment"
1"looked like she was going to touch Rory’s"
2"tasted like poison in her mouth"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1222
matches(empty)
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
totalParagraphs43
mean28.42
std23.47
cv0.826
sampleLengths
088
19
259
329
41
559
612
734
810
936
107
1153
1234
1390
149
1518
1639
176
185
192
2040
2142
2220
2311
2434
251
2631
2743
2844
2922
3011
311
3213
3330
3446
359
3639
3727
384
3932
404
4127
4291
94.41% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences97
matches
0"been invited"
1"were fixed"
2"was gone"
83.04% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs171
matches
0"was wearing"
1"were talking"
2"wasn’t running"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount1
flaggedSentences1
totalSentences120
ratio0.008
matches
0"The change wasn’t just appearance; it was function."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount937
adjectiveStacks0
stackExamples(empty)
adverbCount29
adverbRatio0.030949839914621132
lyAdverbCount8
lyAdverbRatio0.008537886872998933
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
mean10.18
std6.82
cv0.67
sampleLengths
019
121
218
34
426
59
622
73
823
95
106
118
123
1318
141
153
1622
1710
189
197
208
213
229
233
245
257
2613
276
2810
2914
3020
312
327
332
3414
3520
368
379
3810
399
4015
419
4215
434
449
454
4618
4731
489
4918
38.33% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats14
diversityRatio0.2916666666666667
totalSentences120
uniqueOpeners35
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences85
matches(empty)
ratio0
50.59% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount36
totalSentences85
matches
0"She hadn’t been invited."
1"She’d just come in to"
2"She didn’t expect to see"
3"He wasn’t Silas."
4"He wasn’t the mentor she"
5"She stopped, her hand still"
6"She looked different."
7"They had been brown once,"
8"Her voice felt strange, unused."
9"She didn’t know if she"
10"She settled for a tension"
11"She didn’t move further into"
12"She touched her left wrist"
13"It was a childhood memory,"
14"She hated how physical the"
15"She swirled it, the liquid"
16"She looked at the map"
17"She thought of Silas."
18"He was probably upstairs in"
19"It clicked then."
ratio0.424
30.59% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount73
totalSentences85
matches
0"The green neon sign buzzed"
1"Rory pulled her coat tighter,"
2"She hadn’t been invited."
3"She’d just come in to"
4"She didn’t expect to see"
5"The bar was empty, save"
6"He wasn’t Silas."
7"He wasn’t the mentor she"
8"This was someone else entirely."
9"A stranger in the dim"
10"She stopped, her hand still"
11"The figure turned."
12"Time seemed to stutter, a"
13"She looked different."
14"Eva was wearing a suit"
15"They had been brown once,"
16"The name rolled off her"
17"Her voice felt strange, unused."
18"She didn’t know if she"
19"She settled for a tension"
ratio0.859
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences85
matches
0"Now they were flat, polished"
1"If she were Silas, she’d"
ratio0.024
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences36
technicalSentenceCount2
matches
0"He wasn’t the mentor she lived above, the quiet man with the grey-streaked auburn beard and the limp that dragged his left leg."
1"She looked back, the neon light cutting a strip across her face, shadowing her eyes."
25.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags15
uselessAdditionCount3
matches
0"Eva shrugged, as if she were talking about the weather"
1"Eva said, her voice dropping"
2"Eva said, her voice low,"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags10
fancyCount0
fancyTags(empty)
dialogueSentences38
tagDensity0.263
leniency0.526
rawRatio0
effectiveRatio0
79.9164%