Run: 2026-02-25-01KJBJC560DT7T0M9EW99TKE7Y

Run Details

Duration:
1m 6s
Cost:
$0.017348
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 with a dying insect sound, casting a sickly emerald glow over the wet pavement of Soho. Aurora pulled her collar up against the chill, the cold air biting through the thin material of her jacket. Her delivery bag hung heavy on her shoulder, the weight of the empty containers familiar against her hip. She pushed open the heavy oak door of The Raven’s Nest, expecting silence, or perhaps the clatter of washing glasses, but found neither. The bar was dim, lit by the low amber pool of lights over the polished wood. Maps were pinned to the walls, faded paper with lines that connected cities and coordinates she didn’t have the clearance to ask about. In the back, behind the velvet rope of a stage, Silas sat alone. She had forgotten the way he looked when he wasn’t commanding the room. The grey-streaked auburn hair was combed back, the beard neatly trimmed, but his eyes were dull. He was staring into a glass of whiskey, the silver signet ring on his right hand glinting as his finger tapped an absent rhythm on the bar. He didn’t look up. Aurora stepped further in, her shoulder-length black hair brushing the back of her neck. She moved toward the counter, her gaze catching a shadow in the booth to the left. It was a shape that didn’t belong. Someone was sitting in the dark, obscured by the shadow of the vintage photograph hanging on the wall. Rory froze. The figure pushed off the back of the booth, stepping into the sliver of light. For a second, the world narrowed down to the space between them. The woman was wearing a coat that used to be blue, now faded to a pale wash, much like her eyes. Eva. It had been ten years. Ten years since they sat on the banks of the Taff, sharing cheap wine and dreams of London. Ten years since Rory fled her life in Cardiff and Eva had been the hand that reached out from the other side of the Atlantic to pull her through. And yet, looking at her, Aurora felt a cold shock in her chest. The Eva she remembered had been vibrant, chaotic, always moving. This woman stood still, her posture rigid, her hands tucked into her pockets as if holding herself together. Rory blinked, her bright blue eyes searching the woman’s face for the ghost of the friend she had left behind. A small scar, new and pale, marred the woman’s eyebrow. Eva,” Rory said. The name was a test, a small stone thrown into deep water. Eva’s head snapped up. Her hazel eyes widened, the pupils dilating as if trying to capture a face in the dark. She didn’t smile. She didn’t rush forward. She just stood there, the silence stretching out like a rope pulled taut between two posts. You look tired,” Eva said finally. Her voice was raspy, stripped of the laughter that used to define her. Rory felt the sting of the words. She shifted her weight, the movement bringing the small crescent-shaped scar on her left wrist into view, the phantom pain of it waking up. I am tired,” she replied. She pulled a glass of water from the ice bucket on the bar, her fingers trembling slightly. And you work here now?” Eva asked, gesturing vaguely at the room. Silas is the owner. I live above,” Rory said. It felt strange to have these details spilling out so easily. The lie of it was simple: she was just the delivery girl. Just the flatmate. But she was also the one who knew which maps on the wall marked old operations and which marked new drop points. Eva took a step closer. She looked around, her gaze lingering on the heavy oak, the photographs, the air that smelled of old paper and whiskey. We were going to be partners,” she said softly. What partners,” Rory asked. The law,” Eva said. She laughed, a dry, brittle sound. She said we were going to burn the system down. We were twenty,” Rory said. We were twenty-five when we stopped talking. Twenty-six when you left me,” Eva corrected. The accusation hung in the air, heavy and sharp. Rory looked down at the glass of water. She could see her own reflection, distorted by the curve of the glass. She saw the straight black hair, the bright blue eyes that had gone cold, hardened by a life she hadn’t chosen. She thought of Evan, and the darkness that still followed her sometimes, like a scent she couldn’t wash off. She thought of the flat above this bar, and the quiet safety of a life that felt like hiding. I didn’t leave,” Rory said. Her voice was steady, but her hands were clenched tight against the bar top. I fled. There is a difference. Eva’s eyes darkened. She leaned in, lowering her voice until it was almost a whisper. I know. I heard. But you left me alone in Cardiff. I thought you were safe. I thought you were coming back to finish the work. The silence returned, heavier this time. Silas shifted in his chair in the back, the leather creaking. He hadn’t moved a muscle, but the slight limp in his leg shifted his weight. He knew what this was. He always knew. Rory felt a sudden wave of loyalty toward the man sitting in the shadows, the one who had offered her a roof when the world turned its back. I’m not the same woman,” Rory said. And I’m not the woman who ran after you,” Eva replied. Her hand moved to her pocket, fingers brushing against something metal. She pulled her hand out, empty, but the gesture lingered. I’m just a lawyer now. I’m just a worker. Aurora looked at her friend. She looked at the changes. The lines around the eyes that weren’t there before. The posture that had lost its spring. They were both older, but Eva seemed to have aged a decade, while Rory felt she had only aged a year, stuck in a loop of survival and survival. Time does that,” Aurora said. She pushed the glass forward, sliding it across the bar toward Eva. The condensation on the glass made a wet mark on the wood. Time,” Eva echoed. She reached for the glass, her hand shaking slightly. She looked at Rory, really looked at her, as if seeing the weight of the delivery bag, the tiredness in the shoulders, the way her eyes darted to the door every time it opened. You’re still running,” she said. Aurora didn’t deny it. She took a breath, the cold air filling her lungs. She looked past Eva to the window, where the London rain blurred the streetlights into streaks of neon. I’m not running,” she said. Eva finished her water. The ice had melted. She set the glass down, the clink sharp in the quiet room. She didn’t say goodbye. She didn’t say she was staying. She just turned, her coat flaring slightly, and walked toward the door. Aurora watched her go. She watched the green neon sign flicker one last time before the power stabilized. She looked at Silas. He was still staring into his glass. He didn’t look at her. He didn’t nod. He just watched the rain hit the glass, his silver ring catching the light as he lifted the whiskey to his lips. Rory touched the scar on her wrist. She knew the feeling of regret now. It tasted like old wine and cold rain. It tasted like a life that had been offered and refused, a path that had been walked away from. She turned back to the bar, the door still swinging gently on its hinges, carrying the scent of the city in with her.
created_at"2026-02-25T23:33:01.254Z" 2/25/2026, 11:33:01 PM
model"qwen/qwen3.5-35b-a3b-20260224"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency515
moderation_latency(null)
generation_time65602
tokens_prompt867
tokens_completion8875
native_tokens_prompt865
native_tokens_completion8566
native_tokens_completion_images(null)
native_tokens_reasoning6913
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"
usage0.01734825
router(null)
provider_responses
0
endpoint_id"48c1210f-b7d2-4688-a340-f7424fc99d2b"
id"chatcmpl-82cf19fc-94f6-9c53-862f-12fe953f9b98"
is_byokfalse
latency515
model_permaslug"qwen/qwen3.5-35b-a3b-20260224"
provider_name"Alibaba"
status200
api_type"completions"
id"gen-1772062381-2ZCfqqMeDO0OtW6UpqFr"
upstream_id"chatcmpl-82cf19fc-94f6-9c53-862f-12fe953f9b98"
total_cost0.01734825
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
totalTags8
adverbTagCount0
adverbTags(empty)
dialogueSentences16
tagDensity0.5
leniency1
rawRatio0
effectiveRatio0
77.06% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1308
totalAiIsmAdverbs6
found
0
adverb"slightly"
count3
1
adverb"softly"
count1
2
adverb"really"
count1
3
adverb"gently"
count1
highlights
0"slightly"
1"softly"
2"really"
3"gently"
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)
38.84% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1308
totalAiIsms16
found
0
word"chill"
count1
1
word"weight"
count4
2
word"familiar"
count1
3
word"silence"
count3
4
word"velvet"
count1
5
word"glinting"
count1
6
word"chaotic"
count1
7
word"eyebrow"
count1
8
word"whisper"
count1
9
word"echoed"
count1
10
word"flicker"
count1
highlights
0"chill"
1"weight"
2"familiar"
3"silence"
4"velvet"
5"glinting"
6"chaotic"
7"eyebrow"
8"whisper"
9"echoed"
10"flicker"
66.67% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches2
maxInWindow2
found
0
label"eyes widened/narrowed"
count1
1
label"hung in the air"
count1
highlights
0"eyes widened"
1"hung in the air"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells2
narrationSentences67
matches
0"felt the sting"
1"the feeling of regret"
78.89% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences67
filterMatches
0"look"
1"know"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences68
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen68
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1308
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions17
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions38
wordCount1080
uniqueNames12
maxNameDensity0.93
worstName"Eva"
maxWindowNameDensity2
worstWindowName"Eva"
discoveredNames
Soho1
Raven1
Nest1
Silas4
Taff1
London2
Rory8
Cardiff2
Eva10
Atlantic1
Aurora6
Evan1
persons
0"Raven"
1"Nest"
2"Silas"
3"Taff"
4"Rory"
5"Eva"
6"Aurora"
7"Evan"
places
0"Soho"
1"London"
2"Cardiff"
globalScore1
windowScore1
0.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences49
glossingSentenceCount4
matches
0"as if holding herself together"
1"as if trying to capture a face in the dark"
2"felt like hiding"
3"tasted like old wine and cold rain. It ta"
4"tasted like a life that had been offered"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1308
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences68
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs34
mean38.47
std26.96
cv0.701
sampleLengths
081
1108
24
355
417
533
61
793
830
915
1044
1119
1253
1312
1457
1535
164
1720
185
1923
2080
2125
2241
2368
247
2541
2655
2729
2851
2932
305
3142
3259
3364
84.32% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences67
matches
0"were pinned"
1"was combed"
2"been ten"
3"been offered"
4"been walked"
0.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount7
totalVerbs189
matches
0"wasn’t commanding"
1"was staring"
2"was sitting"
3"was wearing"
4"were coming"
5"was staying"
6"was still staring"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences68
ratio0
matches(empty)
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount676
adjectiveStacks1
stackExamples
0"small crescent-shaped scar"
adverbCount14
adverbRatio0.020710059171597635
lyAdverbCount5
lyAdverbRatio0.0073964497041420114
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences68
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences68
mean19.24
std15.57
cv0.809
sampleLengths
021
119
218
323
416
523
613
713
816
927
104
1114
1216
137
1418
152
1615
1712
1821
191
205
2118
2229
2313
2410
2518
2620
2710
2815
2944
306
3113
327
3324
3422
3512
364
3753
3835
394
404
416
4210
435
4414
459
468
4713
4821
4919
40.69% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats9
diversityRatio0.3235294117647059
totalSentences68
uniqueOpeners22
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences55
matches(empty)
ratio0
67.27% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount21
totalSentences55
matches
0"Her delivery bag hung heavy"
1"She pushed open the heavy"
2"She had forgotten the way"
3"He was staring into a"
4"He didn’t look up."
5"She moved toward the counter,"
6"It was a shape that"
7"It had been ten years."
8"Her voice was raspy, stripped"
9"She shifted her weight, the"
10"She laughed, a dry, brittle"
11"She said we were going"
12"We were twenty-five when we"
13"She could see her own"
14"She saw the straight black"
15"She thought of Evan, and"
16"She thought of the flat"
17"I’m not the same"
18"She pushed the glass forward,"
19"She took a breath, the"
ratio0.382
23.64% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount48
totalSentences55
matches
0"The green neon sign buzzed"
1"Aurora pulled her collar up"
2"Her delivery bag hung heavy"
3"She pushed open the heavy"
4"The bar was dim, lit"
5"Maps were pinned to the"
6"She had forgotten the way"
7"The grey-streaked auburn hair was"
8"He was staring into a"
9"He didn’t look up."
10"Aurora stepped further in, her"
11"She moved toward the counter,"
12"It was a shape that"
13"Someone was sitting in the"
14"The figure pushed off the"
15"The woman was wearing a"
16"It had been ten years."
17"The Eva she remembered had"
18"This woman stood still, her"
19"Rory blinked, her bright blue"
ratio0.873
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences55
matches(empty)
ratio0
55.75% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences41
technicalSentenceCount5
matches
0"This woman stood still, her posture rigid, her hands tucked into her pockets as if holding herself together."
1"Eva’s head snapped up. Her hazel eyes widened, the pupils dilating as if trying to capture a face in the dark. She didn’t smile. She didn’t rush forward. She ju…"
2"She saw the straight black hair, the bright blue eyes that had gone cold, hardened by a life she hadn’t chosen."
3"Eva finished her water. The ice had melted. She set the glass down, the clink sharp in the quiet room. She didn’t say goodbye. She didn’t say she was staying. S…"
4"Rory touched the scar on her wrist. She knew the feeling of regret now. It tasted like old wine and cold rain. It tasted like a life that had been offered and r…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags7
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences16
tagDensity0.063
leniency0.125
rawRatio0
effectiveRatio0
74.2373%