Run: 2026-04-27-01KQ6Z2Q8ZPZ4R7GVK0X4DTKYT

Run Details

Duration:
1m 16s
Cost:
$0.012449
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 like a trapped insect, throwing a sickly emerald glow across the wet pavement of the Soho alley. Aurora stopped at the threshold, rain still clinging to the shoulders of her coat, and let her eyes adjust to the dimness inside. The air smelled of aged oak, citrus peel, and the faint metallic tang of polished brass. It was a smell that had not changed in seven years, despite everything else. She stepped past the threshold. The door clicked shut behind her, sealing out the London drizzle and the distant hum of traffic. The walls were a patchwork of history: topographical maps of forgotten borders pinned beneath glass, and black-and-white photographs of men in heavy wool coats standing in snow-covered streets that no longer existed by their old names. She knew these walls. She knew the grain of the wood counter, the way the low pendant lamps caught the condensation on tumblers, the quiet rhythm of a space designed for whispered confidences. She also knew who was behind it. He stood near the back, wiping down a row of gin bottles with a white cloth. He was taller than she remembered, though the years had carved new lines around his hazel eyes. His hair was auburn, threaded now with stubborn strands of grey, and his beard followed the same pattern, neatly trimmed but impossible to ignore. He shifted his weight to his right side to reach a high shelf, and Aurora caught the familiar hesitation in his left leg, the slight drag before his heel met the floorboards. The old knee injury. The Prague shadow. He felt her watching. The cloth stilled against the glass. He turned slowly. For a breath, neither of them moved. The bar held its quiet around them. Then his shoulders dropped, just a fraction, and the tension in his jaw unspooled. Rory, he said. His voice was lower than she remembered, roughened by time and something quieter, like a well-worn path. You didn’t change the sign, she said. Her own voice came out steadier than she felt. Good thing. I almost walked past. He set the cloth down on the counter. His right hand rested there, fingers spread slightly. A silver signet ring caught the lamplight, catching the green bleed from the window. He didn’t wear it as jewelry. He wore it like an anchor. I wondered if you’d ever come down, he said. Instead of staying in the flat. I’ve been busy. Deliveries run on a schedule. Yu-Fei doesn’t care about my moods or the weather. A faint smile touched his mouth, but it didn’t reach his eyes. Delivery driver suits you better than pre-law. She felt that one, sharp and familiar, right behind her ribs. She lifted her left hand to brush a strand of straight black hair behind her ear, and the crescent-shaped scar on her wrist caught the light. It had faded to pale pink over the years, but the memory of the glass shard, the running, the screaming, the way it had all begun in a cramped Cardiff university library, never quite left. She traced it without thinking, a nervous habit she couldn’t break. I left that life, she said. You know why. I do. He moved to the end of the counter, leaning against it with his left leg slightly bent to take the pressure off the joint. The quiet authority that used to radiate from him in briefings and shadowed rooms had settled into something slower, more deliberate. He was a retired man now, running a front for a network he no longer commanded, but the way he held himself still made other men in the neighborhood adjust their posture when they walked past. You’re thinner, he added. And you look like you haven’t slept through the night since you arrived. Eva told you my schedule too? Eva sends her regards. And her apologies. She said you’d prefer to hear it from me first. Rory let out a breath she hadn’t realized she’d been holding. The rain on the pavement outside sounded like static. She thought of Evan, of the slammed doors, the way his voice could curdle in a room, the way she’d learned to read his footsteps in the hallway like a weather forecast. She thought of the night she finally left, the way Eva’s call had come through like a lifeline thrown across dark water. Cardiff felt like a country she’d only visited in dreams. Her father’s legal briefs stacked like fortresses. Her mother’s red grading pens clicking against the kitchen table. The path that had been laid out for her, straight and suffocating. She had traded it for a folding chair in a delivery van, a set of stairs that groaned in the night, and a bar that smelled of old maps and regret. I didn’t come down yesterday, she said finally, because I wasn’t ready to look at you and remember what I ran from. It’s easier to be the girl who drops off sesame chicken and asks for extra soy sauce. Less expectation. Expectation is a heavy thing, he agreed. He picked up a tumbler and set it on the counter between them. It was clean, empty, a placeholder. You ran for the right reasons. I’ve never questioned that. You’ve questioned plenty of things. I question everything. That’s what keeps the knees stiff and the sleep short. He tapped the signet ring against the glass. Prague didn’t break me. It just showed me the cost of certainty. I spent years thinking I could control the variables. Then the floor fell out, and I learned that some of us only get to choose how we stand in the rubble. Rory looked at the empty glass, then at his face. The years had carved canyons around his eyes, but the intelligence in them had only sharpened. He was a mentor now, by convenience rather than design, because she lived above him and needed someone to ask where to find a lock that wouldn’t jam in the damp. But beneath that, there was the ghost of the man who had once sat across from her father at a Cardiff pub, debating jurisdiction and ethics while she pretended to do her homework. He had been the one who told her that fear was just data waiting to be processed. She had believed him then. She believed him now, even if the processing was slow and painful. I still think in terms of exits, she said. Even in the flat. Even when I’m just brewing tea. I count the windows. I check the stairs. I map the room before I sit down. That’s not fear. That’s geometry. You’re good at geometry. You always were. She almost smiled. Almost. The tension in her shoulders eased, just a fraction. The green neon outside pulsed, casting moving shadows across the photographs on the wall. Somewhere in the back, past the rows of decanters, a bookshelf stood flush against the plaster. She knew what was behind it. She had never asked. Some doors earned their secrecy. Do you ever wonder what would have happened if you’d stayed in? she asked. If the knee hadn’t gone. If Prague had gone the other way. He considered the question. His fingers traced the edge of the signet ring. He looked older when he thought, the weight of his years visible in the set of his jaw. I wonder about that less than I used to. The alternate lives don’t bleed into this one. They just sit in the dark and wait for you to visit. I’ve learned not to visit. There’s no point haunting yourself. It’s easier said than done. It is. He finally pushed the empty glass toward her. Drink? On the house. Or tea. Yu-Fei’s delivery roster keeps you running, but you can still sit for five minutes. Rory hesitated. Then she stepped forward to the counter. The wood was warm beneath her palms. She looked at his hands, then at the maps, then back to his face. The unspoken regret hung between them, not as an accusation, but as a shared gravity. They had both spent years building walls out of necessity. Now they were standing in a room designed for secrets, and the air felt thinner, easier to breathe. Tea, she said. Black. No sugar. He nodded, turning toward the back room. His left leg dragged, just slightly, but his steps were even. He didn’t hurry. He never did anything quickly that he didn’t have to. When he disappeared behind the bookshelf, the faint click of a lock turning echoed through the dim space. Rory stayed at the counter. She touched the crescent on her wrist again. Outside, the green neon buzzed, steady and unrelenting, painting the rain-slicked street in shades of emerald and shadow. Inside, the clock on the wall ticked, measuring time that had passed, and time that had only just begun to move.
created_at"2026-04-27T07:57:20.551Z" 4/27/2026, 7:57:20 AM
model"qwen/qwen3.5-plus-20260420"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency650
moderation_latency(null)
generation_time76275
tokens_prompt867
tokens_completion5552
native_tokens_prompt865
native_tokens_completion5043
native_tokens_completion_images(null)
native_tokens_reasoning3164
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.0124492
router(null)
provider_responses
0
endpoint_id"8b4a0fbb-6705-4f8d-a7f1-ad18ecc0edbc"
id"chatcmpl-f777f8ff-22f5-937f-b26d-f6589452b887"
is_byokfalse
latency650
model_permaslug"qwen/qwen3.5-plus-20260420"
provider_name"Alibaba"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777276640-Fcy73hW9bDjUUTBfLWlN"
session_id(null)
api_type"completions"
id"gen-1777276640-AoCfbpNzDbdSm31VNU1d"
upstream_id"chatcmpl-f777f8ff-22f5-937f-b26d-f6589452b887"
total_cost0.0124492
cache_discount(null)
upstream_inference_cost0
provider_name"Alibaba"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
83.22% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1490
totalAiIsmAdverbs5
found
0
adverb"slowly"
count1
1
adverb"slightly"
count3
2
adverb"quickly"
count1
highlights
0"slowly"
1"slightly"
2"quickly"
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)
53.02% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1490
totalAiIsms14
found
0
word"weight"
count2
1
word"familiar"
count2
2
word"tension"
count2
3
word"traced"
count2
4
word"footsteps"
count1
5
word"variables"
count1
6
word"processed"
count1
7
word"pulsed"
count1
8
word"unspoken"
count1
9
word"echoed"
count1
highlights
0"weight"
1"familiar"
2"tension"
3"traced"
4"footsteps"
5"variables"
6"processed"
7"pulsed"
8"unspoken"
9"echoed"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"let out a breath"
count1
highlights
0"let out a breath"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences144
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount1
narrationSentences144
filterMatches
0"know"
1"look"
2"wonder"
hedgeMatches
0"tended to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences144
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen39
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1490
ratio0
matches(empty)
41.67% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions15
unquotedAttributions5
matches
0"Rory, he said."
1"I left that life, she said."
2"Expectation is a heavy thing, he agreed."
3"I still think in terms of exits, she said."
4"Tea, she said."
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions26
wordCount1490
uniqueNames9
maxNameDensity0.47
worstName"You"
maxWindowNameDensity1.5
worstWindowName"Eva"
discoveredNames
Soho1
London1
Aurora2
Prague3
Cardiff3
Evan1
Eva3
Rory5
You7
persons
0"Aurora"
1"Evan"
2"Eva"
3"Rory"
4"You"
places
0"Soho"
1"London"
2"Prague"
3"Cardiff"
globalScore1
windowScore1
97.37% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences95
glossingSentenceCount2
matches
0"sounded like static"
1"felt like a country she’d only visited"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.671
wordCount1490
matches
0"not as an accusation, but as a shared gravity"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount2
totalSentences144
matches
0"left that life"
1"learned that some"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs34
mean43.82
std37.49
cv0.855
sampleLengths
075
198
296
313
428
520
622
742
815
917
1019
1183
129
132
1481
1517
166
1717
18144
1941
2036
215
2264
23124
2435
2512
2658
2726
2870
295
3030
3173
326
33101
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences144
matches
0"been laid"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs269
matches
0"were standing"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences144
ratio0
matches(empty)
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1498
adjectiveStacks1
stackExamples
0"familiar, right behind her"
adverbCount57
adverbRatio0.038050734312416554
lyAdverbCount14
lyAdverbRatio0.009345794392523364
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences144
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences144
mean10.35
std8.19
cv0.791
sampleLengths
022
123
216
314
45
517
636
74
829
97
1016
1117
1224
1332
144
153
164
176
183
197
207
2114
223
2317
247
259
262
274
288
298
3014
316
326
339
346
353
365
379
3812
397
4011
4126
4235
4311
446
453
462
4724
4821
4936
36.34% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats21
diversityRatio0.3055555555555556
totalSentences144
uniqueOpeners44
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount5
totalSentences132
matches
0"Then his shoulders dropped, just"
1"Instead of staying in the"
2"Then the floor fell out,"
3"Somewhere in the back, past"
4"Then she stepped forward to"
ratio0.038
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount75
totalSentences132
matches
0"It was a smell that"
1"She stepped past the threshold."
2"She knew these walls."
3"She knew the grain of"
4"She also knew who was"
5"He stood near the back,"
6"He was taller than she"
7"His hair was auburn, threaded"
8"He shifted his weight to"
9"He felt her watching."
10"He turned slowly."
11"His voice was lower than"
12"You didn’t change the sign,"
13"Her own voice came out"
14"I almost walked past."
15"He set the cloth down"
16"His right hand rested there,"
17"He didn’t wear it as"
18"He wore it like an"
19"I wondered if you’d ever"
ratio0.568
35.76% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount112
totalSentences132
matches
0"The green neon sign buzzed"
1"Aurora stopped at the threshold,"
2"The air smelled of aged"
3"It was a smell that"
4"She stepped past the threshold."
5"The door clicked shut behind"
6"The walls were a patchwork"
7"She knew these walls."
8"She knew the grain of"
9"She also knew who was"
10"He stood near the back,"
11"He was taller than she"
12"His hair was auburn, threaded"
13"He shifted his weight to"
14"The old knee injury."
15"The Prague shadow."
16"He felt her watching."
17"The cloth stilled against the"
18"He turned slowly."
19"The bar held its quiet"
ratio0.848
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount5
totalSentences132
matches
0"Even in the flat."
1"Even when I’m just brewing"
2"If the knee hadn’t gone."
3"If Prague had gone the"
4"Now they were standing in"
ratio0.038
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences58
technicalSentenceCount2
matches
0"The quiet authority that used to radiate from him in briefings and shadowed rooms had settled into something slower, more deliberate."
1"But beneath that, there was the ghost of the man who had once sat across from her father at a Cardiff pub, debating jurisdiction and ethics while she pretended …"
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
88.0459%