Run: 2026-02-25-01KJBH7K8G5GH9HBSE9PE6YS30

Run Details

Duration:
1m 13s
Cost:
$0.003472
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 like a trapped insect, casting a sickly pallor over the cobblestones of Soho before cutting out for the night. Aurora pushed through the heavy oak door and stepped into the scent of stale beer, old leather, and the sharp tang of disinfectant that defined The Raven's Nest. She hadn’t come down from the flat above for over three years. She had lived in the building, breathed the same air, but kept a distance she wasn’t ready to explain. The bar was empty save for the man behind the counter. Silas Blackwood didn’t look up immediately. His hands moved with the rhythmic precision of a butcher who knew exactly where every knife must rest. He was wearing a dark shirt, his sleeves rolled up to reveal forearms that had gone from muscle to sinew. When he finally glanced up, his hazel eyes caught the dim light of the pendant lamps hanging over the tables, where old maps and black-and-white photographs were pinned to the walls like memories of a man no longer at war. Silas set the glass down. He leaned forward, a hand resting near his right pocket where his silver signet ring gleamed under the low light. He didn’t smile. He didn’t have to. He had the weight of an old soldier in his posture, the quiet authority that had kept her alive in London long before this moment. “Rory,” he said. The name wasn’t a question, but it wasn’t a greeting either. It was an acknowledgement of a ghost. “Silas.” The way he moved revealed the old knee. He shifted his weight, a slight, subconscious limp beginning to take hold the moment he straightened his spine. It was the same injury from Prague. She had seen him limp before the bar, but never with the calculated grace she used now. He was a hundred years older than three years, and yet, time was a cruel thief who had skipped her. “You’re not dead,” he said, his voice rougher than the memories she carried. “You’re not running a ghost story,” she replied. She moved toward the bar, her shoes finding the grooves in the floorboards she had once learned by heart. She kept her left wrist turned slightly under the counter, hiding the small crescent-shaped scar there from the harsh overhead light. Silas moved to the side of the bar, leaning against the oak. The grey-streaked auburn of his beard matched his hair, a halo of dust in the gloom. He didn’t ask why she had been hiding in the flat next door and never coming down for a pint. The maps on the wall behind them told him enough of the world’s secrets; he didn’t need to hunt them for his own friend. “Why come in now?” Silas asked. He reached for a bottle of something dark and poured a measure, not offering her a glass. Just the liquid in the air, a signal of what could be had, if she wanted it. “I heard something. About Prague.” Silas’s expression didn’t tighten. He just let out a breath, a sound like air leaving a tire. “People hear things.” “People talk to the wrong people.” They looked at each other. Aurora was twenty-five, with shoulder-length black hair that had grown a little longer than she liked, straight and unadorned. Silas was fifty-eight, his face marked by lines that had been there ten years ago but had deepened into ravines since. He was a man who had survived. She was still trying to figure out how to exist. “I didn’t know if you were in on it,” Silas said finally. “When you left Evan. When you fled.” “I wasn’t in on anything,” she lied. Or perhaps she wasn’t. She didn’t know anymore. She looked at the signet ring, the silver catching the neon flicker outside. He had worn it since she met him, a symbol of his rank that wasn’t there for him to keep. “I just needed to disappear.” “You’re not gone,” Silas said, tapping the counter with a calloused finger. “Your room, above the bar. It’s still there. The door opens. You’re here.” The tension hung between them, heavy and tangible. It was the weight of the unspoken regret, the things they hadn’t said in the years of the flat’s quiet hum. She had avoided the bar because it felt like an accusation. Every time she saw him, she saw what she had escaped. And he saw it too, the woman who had run to him and hid in the dark. “Time changes things,” Aurora said. Her voice was cool, steady, the cool-headedness that defined her. But she wasn’t steady at all. “Time changes everyone,” Silas agreed. He straightened, the pain in his knee flaring. He didn’t rub it. He never did. He just waited for the ache to pass. “I thought you were dead. I thought you were hiding somewhere where no one could find you. Not even me.” “Where were you?” she asked. “When I needed you. When the police came around again, you were gone.” Silas looked away, his gaze landing on a photograph of a man in a trench coat from the eighties pinned to the wall. “I was working. I was working for them. For the network.” “I wasn’t for the network,” she said. He looked back at her. His eyes were tired, hazel and deep. “You were for yourself. That’s the job. That’s the only job you ever gave yourself.” She felt the heat of it in her chest. It wasn’t anger. It was the ache of a door slammed too many times. “I’m not leaving anymore.” Silas nodded slowly. He didn’t believe her. No one believed anyone completely. That was the business. “Don’t say that. Not until you do.” He reached into the bottle drawer and pulled out a second glass. He filled it with amber liquid and slid it across the counter. The sound was sharp, a crack in the silence of the room. He didn’t sit. He just watched her drink. The map behind him showed a route, red lines and blue lines connecting London to the rest of the world. They were still on the line. They were still in the network, whether they liked it or not. “I’ve got a job,” Aurora said, looking at the ring again. “Something for Yu-Fei’s restaurant. Delivery. I’m good at it.” “Delivery,” Silas repeated. “Carrying things. You’re good at that too, aren’t you? Carrying the weight.” She looked up. Her bright blue eyes met his hazel. The silence stretched, thick with the history of a bar that had seen too many good men and women go away. She took the drink. The room was warm, but she shivered. “Come down tomorrow,” Silas said finally, turning back to the bottle. His limp was more pronounced as he turned. “There’s someone else I need you to meet. Someone who changed.” “Who?” “A friend,” he said. He smiled, a small, sad thing that didn’t reach his eyes. “Or someone who used to be one. The Raven’s Nest is a place for people who’ve forgotten their names.” Aurora finished the drink. She set the glass down and wiped the condensation on her palm. She felt the bar settle around her, the weight of the maps and the photos pressing down. She had changed. She knew that. But she couldn’t see the lines in Silas’s face, the way the grey had overtaken the red. He was the mentor who had failed to warn her, and she was the student who had forgotten to ask. She stood up. The door handle was cold under her fingers. Outside, the green neon flickered and died. “See you tomorrow,” she said. “Don’t be late,” Silas replied, his back already turned to the bottle he was polishing. She walked out into the night, the sound of the green sign buzzing fading behind her like a heartbeat that had stopped.
created_at"2026-02-25T23:13:03.254Z" 2/25/2026, 11:13:03 PM
model"qwen/qwen3.5-flash-20260224"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency525
moderation_latency(null)
generation_time72462
tokens_prompt867
tokens_completion8644
native_tokens_prompt865
native_tokens_completion8463
native_tokens_completion_images(null)
native_tokens_reasoning6729
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"
usage0.0034717
router(null)
provider_responses
0
endpoint_id"5f6b71b5-8672-4b27-8b2d-f674429f9e63"
id"chatcmpl-fe7012a4-e28e-98e1-b30a-1409e27075c5"
is_byokfalse
latency525
model_permaslug"qwen/qwen3.5-flash-20260224"
provider_name"Alibaba"
status200
api_type"completions"
id"gen-1772061183-JfXuqHWDejc3l8rXasxf"
upstream_id"chatcmpl-fe7012a4-e28e-98e1-b30a-1409e27075c5"
total_cost0.0034717
cache_discount(null)
upstream_inference_cost0
provider_name"Alibaba"

Evaluation details

Result Evaluator Details Meta Data
85.71% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags17
adverbTagCount2
adverbTags
0"Silas said finally [finally]"
1"Silas said finally [finally]"
dialogueSentences35
tagDensity0.486
leniency0.971
rawRatio0.118
effectiveRatio0.114
88.69% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1326
totalAiIsmAdverbs3
found
0
adverb"slightly"
count1
1
adverb"slowly"
count1
2
adverb"completely"
count1
highlights
0"slightly"
1"slowly"
2"completely"
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)
43.44% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1326
totalAiIsms15
found
0
word"rhythmic"
count1
1
word"weight"
count5
2
word"calculated"
count1
3
word"gloom"
count1
4
word"flicker"
count1
5
word"tension"
count1
6
word"tangible"
count1
7
word"unspoken"
count1
8
word"silence"
count2
9
word"flickered"
count1
highlights
0"rhythmic"
1"weight"
2"calculated"
3"gloom"
4"flicker"
5"tension"
6"tangible"
7"unspoken"
8"silence"
9"flickered"
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
narrationSentences104
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences104
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences122
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen42
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1326
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions19
unquotedAttributions0
matches(empty)
82.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions27
wordCount1103
uniqueNames8
maxNameDensity1.36
worstName"Silas"
maxWindowNameDensity2.5
worstWindowName"Silas"
discoveredNames
Soho1
Raven1
Nest1
Blackwood1
London2
Prague1
Silas15
Aurora5
persons
0"Raven"
1"Blackwood"
2"Silas"
3"Aurora"
places
0"Soho"
1"London"
2"Prague"
globalScore0.82
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences69
glossingSentenceCount1
matches
0"felt like an accusation"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1326
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences122
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs38
mean34.89
std25.64
cv0.735
sampleLengths
086
195
257
321
41
570
613
748
872
940
105
1120
126
1362
1419
1553
1625
1768
1821
1948
2018
2134
227
2327
2427
2523
2682
2720
2815
2942
3030
311
3234
3376
3418
355
3615
3722
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences104
matches
0"were pinned"
97.96% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs196
matches
0"was wearing"
1"was still trying"
2"was polishing"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount1
flaggedSentences1
totalSentences122
ratio0.008
matches
0"The maps on the wall behind them told him enough of the world’s secrets; he didn’t need to hunt them for his own friend."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1111
adjectiveStacks1
stackExamples
0"slight, subconscious limp beginning"
adverbCount35
adverbRatio0.0315031503150315
lyAdverbCount9
lyAdverbRatio0.008100810081008101
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences122
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences122
mean10.87
std7.01
cv0.645
sampleLengths
027
128
212
319
411
56
618
720
840
95
1020
113
124
1325
143
1511
167
171
188
1918
207
2117
2220
2313
248
2519
2621
2712
2816
2920
3024
316
3217
3317
345
354
3613
373
386
395
4019
4121
427
4310
4412
457
467
474
484
4913
34.43% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats19
diversityRatio0.28688524590163933
totalSentences122
uniqueOpeners35
35.84% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences93
matches
0"Just the liquid in the"
ratio0.011
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount56
totalSentences93
matches
0"She hadn’t come down from"
1"She had lived in the"
2"His hands moved with the"
3"He was wearing a dark"
4"He leaned forward, a hand"
5"He didn’t smile."
6"He didn’t have to."
7"He had the weight of"
8"It was an acknowledgement of"
9"He shifted his weight, a"
10"It was the same injury"
11"She had seen him limp"
12"He was a hundred years"
13"he said, his voice rougher"
14"She moved toward the bar,"
15"She kept her left wrist"
16"He didn’t ask why she"
17"He reached for a bottle"
18"He just let out a"
19"They looked at each other."
ratio0.602
3.01% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount85
totalSentences93
matches
0"The green neon sign above"
1"Aurora pushed through the heavy"
2"She hadn’t come down from"
3"She had lived in the"
4"The bar was empty save"
5"Silas Blackwood didn’t look up"
6"His hands moved with the"
7"He was wearing a dark"
8"Silas set the glass down."
9"He leaned forward, a hand"
10"He didn’t smile."
11"He didn’t have to."
12"He had the weight of"
13"The name wasn’t a question,"
14"It was an acknowledgement of"
15"The way he moved revealed"
16"He shifted his weight, a"
17"It was the same injury"
18"She had seen him limp"
19"He was a hundred years"
ratio0.914
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences93
matches(empty)
ratio0
36.47% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences47
technicalSentenceCount7
matches
0"Aurora pushed through the heavy oak door and stepped into the scent of stale beer, old leather, and the sharp tang of disinfectant that defined The Raven's Nest…"
1"He had the weight of an old soldier in his posture, the quiet authority that had kept her alive in London long before this moment."
2"Aurora was twenty-five, with shoulder-length black hair that had grown a little longer than she liked, straight and unadorned."
3"He had worn it since she met him, a symbol of his rank that wasn’t there for him to keep."
4"Her voice was cool, steady, the cool-headedness that defined her."
5"The silence stretched, thick with the history of a bar that had seen too many good men and women go away."
6"She walked out into the night, the sound of the green sign buzzing fading behind her like a heartbeat that had stopped."
95.59% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags17
uselessAdditionCount1
matches
0"he said, his voice rougher than the memories she carried"
64.29% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags17
fancyCount3
fancyTags
0"she lied (lie)"
1"Silas agreed (agree)"
2"Silas repeated (repeat)"
dialogueSentences35
tagDensity0.486
leniency0.971
rawRatio0.176
effectiveRatio0.171
78.7144%