Run: 2026-02-25-01KJBFDZAJXP0HE0TBAR5FQTAE

Run Details

Duration:
35.9s
Cost:
$0.015604
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 rain in Soho did not fall so much as it hung, a damp suspension that clung to the wool of Aurora’s coat and turned the pavement into a slick, black mirror. She pushed open the door of The Raven’s Nest, the green neon sign above the entrance buzzing with a low, electric hum that vibrated in her teeth. The smell hit her first—stale ale, lemon polish, and the underlying scent of old paper that seemed to seep out of the walls. She adjusted the thermal bag slung over her shoulder, the weight of the Golden Empress takeout boxes familiar and grounding against her hip. She wasn't supposed to be here. The order had been for the back office, a routine drop for Yu-Fei’s regulars, but the front door had been unlocked, and the silence inside was heavy, pressing against her eardrums. Aurora stepped further into the dimness. The walls were a patchwork of history, covered in yellowed maps of cities she had never visited and black-and-white photographs of men in suits who looked like they knew where the bodies were buried. She scanned the room, expecting the usual emptiness of a Tuesday afternoon lull, but there was a figure seated at the far end of the bar. He sat with his back to the wall, a posture that spoke of habit rather than comfort. His hair was a grey-streaked auburn, cut short and neat, matching the beard that framed a jawline set in a permanent, quiet tension. He held a glass of amber liquid, his right hand resting on the counter. A silver signet ring caught the low light, glinting like a warning. Aurora froze. The air in her lungs seemed to solidify. Silas. It had been five years. Five years since the last time she had seen him, back when she was still living in Cardiff, before the split with Evan, before the flight to London that had landed her in the flat above this very bar. She had assumed he was dead, or at least that he had moved on to some other shadowed corner of the world. He turned his head slowly, his hazel eyes finding hers in the gloom. There was no surprise in them, only a deep, weary recognition. He set the glass down. The movement was stiff; he favored his left leg, the knee that had been ruined in Prague years ago, a limp she had only heard rumors of until now. “Rory,” he said. His voice was lower than she remembered, roughened by smoke and time. “Silas,” she replied, her voice steadier than she felt. She walked toward the bar, the delivery bag feeling suddenly too large, too conspicuous. She set it down on the counter. “I didn’t know you were back in London.” “I’m not,” he said. “Not really. Just visiting.” She looked at him, really looked at him. The lines around his eyes were deeper, carved by a decade of things he wouldn’t say. He looked older than his fifty-eight years, the weight of his past pressing down on his shoulders. She pulled her sleeve down instinctively, covering the small crescent-shaped scar on her left wrist. It was a reflex, a habit from the years she had spent hiding bruises, but the scar was old now, white and faint. “I live above you,” she said, the words feeling inadequate. “I didn’t know you were in the building.” “I’ve been away,” Silas said. He tapped the silver ring on his right hand against the wood of the bar. “The Nest needed tending. I came back to check the locks.” Aurora leaned against the counter. The neon buzz seemed louder now. “You could have called.” “Would you have answered?” She looked away, toward the bookshelf at the back of the room. She knew what was behind it. A secret room. A place for clandestine meetings. She had walked past it a hundred times, unaware of the hidden world that operated in the margins of her life. “I’ve been busy.” “Delivery work suits you,” Silas said, nodding at the thermal bag. “You always did like to move.” “I had to move.” She touched the scar again, her thumb tracing the crescent shape. “You know why.” Silas poured himself another drink, the liquid glugging softly into the glass. “I know about Evan.” “Do you?” She looked back at him. Her bright blue eyes searched his face for any sign of judgment. “I didn’t want to be a project.” “No,” Silas agreed. “You were never a project. You were a variable I couldn’t control.” The admission hung in the air, sharp and unexpected. Aurora felt a tightness in her chest. She had spent years running from the feeling of being a variable, something to be managed, calculated, and discarded. But Silas had always been different. He was the mentor, the spymaster, the man who knew how to disappear. “I thought you were gone for good,” she said. “I was,” Silas said. He pushed the glass away. “MI6 doesn’t like loose ends. I had to tie up a few of my own.” Aurora studied the maps on the wall behind him. They were old, the ink faded, marking routes that no longer existed. “And now?” “Now I’m just a bar owner with a bad knee.” He gestured to his leg, a self-deprecating gesture that didn’t quite reach his eyes. “It rains too much in London. It makes the joint ache.” She laughed, a short, dry sound that surprised her. “I live in the flat above. I hear you walking around at night.” “I walk around because I don’t sleep.” The silence stretched between them, filled with the unspoken weight of the years they had missed. She had been twenty then, terrified and angry. He had been fifty-three, tired and dangerous. Now she was twenty-five, working for a restaurant she didn’t own, and he was older, still carrying the same dangerous weight. “I’m not the same person I was,” Aurora said softly. “No,” Silas agreed. “You’re not. You’re sharper.” “And you?” “I’m tired.” He looked at her, and for a moment, the mask slipped. She saw the man who had taught her how to lock a door, how to spot a tail, how to survive. “I’m tired, Rory. But I’m still here.” She reached into her pocket and pulled out a pen, then a small notepad. She scribbled something down and slid it across the bar. “If you need anything. The food. The water. The silence.” Silas looked at the note, then at her. He didn’t pick it up. He just nodded. “I know where to find you.” “I know you do.” She picked up the delivery bag. The weight of it felt different now, lighter. She turned to leave, the door opening to let in a gust of cold wind and the smell of wet concrete. “Rory,” Silas called out. She paused, hand on the door handle. The green neon sign buzzed behind her. “Welcome home,” he said. She didn’t turn back. She stepped out into the rain, the door clicking shut behind her, sealing the warmth and the history inside. The street was empty, the city moving in the distance, indifferent to the small reunion that had just taken place in the shadows. She touched her wrist again, feeling the scar beneath the wool, and walked into the night, knowing that the past was no longer something she had to run from, but something she carried with her, like a map she had finally learned to read.
created_at"2026-02-25T22:41:35.065Z" 2/25/2026, 10:41:35 PM
model"qwen/qwen3.5-122b-a10b-20260224"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency480
moderation_latency(null)
generation_time35846
tokens_prompt867
tokens_completion5006
native_tokens_prompt865
native_tokens_completion4768
native_tokens_completion_images(null)
native_tokens_reasoning3114
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"
usage0.0156036
router(null)
provider_responses
0
endpoint_id"33d466d1-d2f7-45ed-8ff3-fda7d2e32351"
id"chatcmpl-32658305-ce72-9c76-af4d-5942ddea505d"
is_byokfalse
latency480
model_permaslug"qwen/qwen3.5-122b-a10b-20260224"
provider_name"Alibaba"
status200
api_type"completions"
id"gen-1772059295-D9SmdzEB7rEyK5N4xdWc"
upstream_id"chatcmpl-32658305-ce72-9c76-af4d-5942ddea505d"
total_cost0.0156036
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
totalTags17
adverbTagCount1
adverbTags
0"Aurora said softly [softly]"
dialogueSentences40
tagDensity0.425
leniency0.85
rawRatio0.059
effectiveRatio0.05
72.07% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1253
totalAiIsmAdverbs7
found
0
adverb"very"
count1
1
adverb"slowly"
count1
2
adverb"suddenly"
count1
3
adverb"really"
count2
4
adverb"softly"
count2
highlights
0"very"
1"slowly"
2"suddenly"
3"really"
4"softly"
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)
12.21% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1253
totalAiIsms22
found
0
word"electric"
count1
1
word"vibrated"
count1
2
word"weight"
count5
3
word"familiar"
count1
4
word"silence"
count3
5
word"scanned"
count1
6
word"tension"
count1
7
word"glinting"
count1
8
word"gloom"
count1
9
word"clandestine"
count1
10
word"tracing"
count1
11
word"variable"
count2
12
word"calculated"
count1
13
word"unspoken"
count1
14
word"warmth"
count1
highlights
0"electric"
1"vibrated"
2"weight"
3"familiar"
4"silence"
5"scanned"
6"tension"
7"glinting"
8"gloom"
9"clandestine"
10"tracing"
11"variable"
12"calculated"
13"unspoken"
14"warmth"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"hung in the air"
count1
highlights
0"hung in the air"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences86
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount2
narrationSentences86
filterMatches(empty)
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences109
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen44
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1252
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions16
unquotedAttributions0
matches(empty)
66.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions28
wordCount1043
uniqueNames13
maxNameDensity0.96
worstName"Silas"
maxWindowNameDensity3
worstWindowName"Silas"
discoveredNames
Soho1
Aurora7
Raven1
Nest1
Golden1
Empress1
Yu-Fei1
Tuesday1
Cardiff1
Evan1
London1
Prague1
Silas10
persons
0"Aurora"
1"Raven"
2"Yu-Fei"
3"Evan"
4"Silas"
places
0"Soho"
1"Cardiff"
2"London"
3"Prague"
globalScore1
windowScore0.667
0.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences64
glossingSentenceCount4
matches
0"paper that seemed to seep out of the walls"
1"looked like they knew where the bodies we"
2"seemed louder now"
3"quite reach his eyes"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1252
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences109
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs42
mean29.81
std25.35
cv0.85
sampleLengths
0105
137
266
366
410
51
666
758
815
938
108
1179
1218
1331
1415
154
1650
1717
1818
1916
2026
2115
2254
239
2424
2523
2635
2722
287
2952
3010
317
322
3341
3434
3522
364
3735
384
3914
404
4190
93.02% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences86
matches
0"been unlocked"
1"were buried"
2"been ruined"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs172
matches
0"was still living"
90.43% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount1
flaggedSentences2
totalSentences109
ratio0.018
matches
0"The smell hit her first—stale ale, lemon polish, and the underlying scent of old paper that seemed to seep out of the walls."
1"The movement was stiff; he favored his left leg, the knee that had been ruined in Prague years ago, a limp she had only heard rumors of until now."
88.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1053
adjectiveStacks2
stackExamples
0"heavy, pressing against her"
1"small crescent-shaped scar"
adverbCount42
adverbRatio0.039886039886039885
lyAdverbCount9
lyAdverbRatio0.008547008547008548
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences109
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences109
mean11.49
std8.46
cv0.737
sampleLengths
032
127
223
323
46
531
66
734
826
917
1023
1114
1212
132
148
151
165
1739
1822
1913
2011
215
2229
233
2412
259
2614
277
288
294
304
318
3216
3317
3415
3523
3610
378
385
3915
4011
415
426
434
444
4512
466
473
485
4921
38.07% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats13
diversityRatio0.23853211009174313
totalSentences109
uniqueOpeners26
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences76
matches(empty)
ratio0
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount47
totalSentences76
matches
0"She pushed open the door"
1"She adjusted the thermal bag"
2"She wasn't supposed to be"
3"She scanned the room, expecting"
4"He sat with his back"
5"His hair was a grey-streaked"
6"He held a glass of"
7"It had been five years."
8"She had assumed he was"
9"He turned his head slowly,"
10"He set the glass down."
11"His voice was lower than"
12"she replied, her voice steadier"
13"She walked toward the bar,"
14"She set it down on"
15"She looked at him, really"
16"He looked older than his"
17"She pulled her sleeve down"
18"It was a reflex, a"
19"she said, the words feeling"
ratio0.618
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount72
totalSentences76
matches
0"The rain in Soho did"
1"She pushed open the door"
2"The smell hit her first—stale"
3"She adjusted the thermal bag"
4"She wasn't supposed to be"
5"The order had been for"
6"Aurora stepped further into the"
7"The walls were a patchwork"
8"She scanned the room, expecting"
9"He sat with his back"
10"His hair was a grey-streaked"
11"He held a glass of"
12"A silver signet ring caught"
13"The air in her lungs"
14"It had been five years."
15"She had assumed he was"
16"He turned his head slowly,"
17"He set the glass down."
18"The movement was stiff; he"
19"His voice was lower than"
ratio0.947
65.79% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences76
matches
0"Now she was twenty-five, working"
ratio0.013
69.60% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences39
technicalSentenceCount4
matches
0"The rain in Soho did not fall so much as it hung, a damp suspension that clung to the wool of Aurora’s coat and turned the pavement into a slick, black mirror."
1"She pushed open the door of The Raven’s Nest, the green neon sign above the entrance buzzing with a low, electric hum that vibrated in her teeth."
2"The walls were a patchwork of history, covered in yellowed maps of cities she had never visited and black-and-white photographs of men in suits who looked like …"
3"The street was empty, the city moving in the distance, indifferent to the small reunion that had just taken place in the shadows."
36.76% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags17
uselessAdditionCount3
matches
0"she replied, her voice steadier than she felt"
1"she said, the words feeling inadequate"
2"She touched, her thumb tracing the crescent shape"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags12
fancyCount2
fancyTags
0"Silas agreed (agree)"
1"Silas agreed (agree)"
dialogueSentences40
tagDensity0.3
leniency0.6
rawRatio0.167
effectiveRatio0.1
74.4208%