Run: 2026-05-10-01KR8XQZDGMG1ABA8X5H2BC4FG

Run Details

Duration:
17.3s
Cost:
$0.000786
Provider:
SiliconFlow

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 of The Raven’s Nest hummed with a low, electric anxiety, casting a sickly emerald glow over the wet pavement of the Soho alleyway. Aurora climbed the narrow stairs, her breath blooming in small, ragged clouds against the London chill. Her shoulder ached from the heavy thermal bag she’d been lugging around all evening, a dull reminder of the hours spent weaving through traffic for Yu-Fei Cheung’s deliveries. She just wanted a glass of something amber and cheap to wash the scent of exhaust and grease from her throat. As she pushed through the heavy oak door, the atmosphere of the bar swallowed her. It was a dim, velvet-heavy space where the light seemed to struggle against the shadows. Old maps of forgotten territories lined the walls, their edges curled and yellowed, interspersed with grainy black-and-white photographs of men in trench coats and women with secrets behind their eyes. It was the kind of place where people came to be forgotten, or to ensure others were. Aurora shook her damp hair from her shoulders, the black strands clinging to her neck. She caught her reflection in a darkened mirror behind the bar—a face that looked older than twenty-five, eyes a shade of bright blue that felt too piercing for the dimness. She traced the small, crescent-shaped scar on her left wrist, a subconscious habit when she was tired. She made her way toward the far end of the bar, but a sudden movement near a corner booth snagged her attention. A man sat there, hunched over a glass of neat scotch, the amber liquid catching the faint light. He was older, his hair a distinguished auburn shot through with streaks of slate grey, and his beard was trimmed with a precision that suggested a man who still valued order in a chaotic world. Aurora froze. The air in her lungs suddenly felt heavy, like lead. "Eva?" she whispered, though the name felt like a relic from a different life. The man looked up. The name hadn't been spoken, but the recognition hit him with the force of a physical blow. He didn't look like a man named Eva. He was broad-shouldered, his features sharpened by time and perhaps something harder, something more cynical. But the eyes—the way they narrowed in that specific, inquisitive tilt—were unmistakable. "Rory?" he said. His voice had dropped an octave, losing its youthful lilt and gaining a gravelly resonance that made her skin prickle. He stood up, and Aurora noticed a slight, uneven hitch in his gait, a subtle limp that spoke of a life lived in motion. He moved toward her, the shadows of the bar stretching and retreating around him. "You're not... you're not Eva," Aurora said, the realization stumbling out of her. She felt a sudden, sharp pang of embarrassment, the kind that comes from misreading the entire world. The man stopped a few feet from her. A ghost of a smile touched his lips, but it didn't reach his eyes. "No. I'm not. But I suppose I can see why you thought so. We were always mirrors of each other, weren't we?" "I don't understand," Aurora said, her quick mind racing to find the logic, the thread that connected this stranger to the girl who had pulled her out of a nightmare in Cardiff. "The hair, the eyes... everything is different. You look like a different person entirely." "Time does that," he said, gesturing toward the empty stool beside her. "And the things we choose to leave behind. Sit. Please. I'm not a ghost, though I feel like one most days." Aurora sat, her movements stiff. She felt the weight of her delivery uniform, the grime of the city, and the vast, yawning gap of the years between them. "You disappeared. After I moved to London. You just... went silent. No letters, no calls. I thought you'd moved on. I thought you'd forgotten." "I couldn't call," he said softly. He signaled to the bartender, a taciturn man who seemed to move through the shadows with practiced ease. "Not then. Not when the world was still catching up to me." "What happened to you?" she asked, her voice dropping to a conspiratorial whisper. She was used to secrets—she lived in a city built on them—but this felt intimate, a violation of the silence they had maintained for years. He took a slow sip of his scotch, his gaze drifting to the maps on the wall. "I grew up. I saw things that made the girl you knew feel like a fever dream. I realized that the people we were supposed to be—the scholars, the dreamers—were just masks for the people we actually are." "And who are you now?" "Someone who knows how to survive," he replied. He leaned in, the scent of sandalwood and expensive tobacco drifting from him. "And you, Aurora? You look like you're surviving, too. But there's a hardness in your eyes. A stillness." Aurora felt a flush of heat creep up her neck. "I work. I live. I get by. It's not exactly a life of adventure, if that's what you're looking for." "I'm not looking for anything," he said, and for a moment, the mask slipped. The cynicism vanished, replaced by a profound, aching melancholy. "I was just looking for a familiar face. Even if it was a ghost of one." They sat in silence for a long moment, the low hum of the bar providing a rhythmic backdrop to the unspoken tension. Aurora thought of Cardiff, of the rain-slicked streets and the terrifying, suffocating presence of Evan. She thought of how much she had wanted to change, to reinvent herself in the sprawl of London, and how she had succeeded only in becoming a more efficient version of her own survival. "Do you ever miss it?" she asked suddenly. "The way things were? Before everything got so... complicated?" He looked at her then, really looked at her, and she saw the regret shimmering in the depths of his eyes. It was a heavy, suffocating thing, a weight that seemed to pull at the very fabric of his being. "Every single day," he admitted. "I miss the simplicity of being wrong. Now, when I'm wrong, the consequences aren't just a bruised ego or a broken heart. They're permanent." "I'm sorry," Aurora said, though she wasn't sure what she was apologizing for. For surviving? For changing? For the fact that they were both strangers now? "Don't be," he said, reaching out as if to touch her hand, then hesitating and pulling back. "We did what we had to do. That's the only truth there is." He stood up, the limp more pronounced now that he was moving with purpose. "I should go. This place... it has a way of pulling you down if you stay too long." "Will I see you again?" Aurora asked, the question feeling foolish even as it left her lips. He paused, looking back at her over his shoulder. The green neon light caught the silver in his hair, making him look like a figure out of an old, tragic play. "The world is smaller than you think, Rory. And much more repetitive." As he disappeared into the shadows of the exit, Aurora remained seated, her drink untouched. She watched the door swing shut, the heavy oak thudding back into place. She felt a strange sense of mourning, not for the man who had just left, but for the version of herself that might have known him. She looked down at her hands, at the small scar on her wrist. The city outside was still loud, still hungry, still indifferent to the wreckage of lives left in its wake. She finished her drink in one swallow, the amber liquid burning a path down her throat, and wondered if the next time she saw a ghost, she would even recognize it.
created_at"2026-05-10T12:28:10.554Z" 5/10/2026, 12:28:10 PM
model"google/gemma-4-26b-a4b-it-20260403"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3310
moderation_latency(null)
generation_time16836
tokens_prompt867
tokens_completion1908
native_tokens_prompt859
native_tokens_completion1707
native_tokens_completion_images(null)
native_tokens_reasoning0
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"
service_tier(null)
usage0.00078588
router(null)
provider_responses
0
endpoint_id"eb382d64-dce1-42d5-b23d-6fefb91948a3"
id"chatcmpl-96e1186bcc344b0b"
is_byokfalse
latency3310
model_permaslug"google/gemma-4-26b-a4b-it-20260403"
provider_name"SiliconFlow"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1778416090-pSB57nYtPtNBLuTxCXK1"
session_id(null)
api_type"completions"
id"gen-1778416090-wLeO1emfsH4CQYZ19vIn"
upstream_id"chatcmpl-96e1186bcc344b0b"
total_cost0.00078588
cache_discount(null)
upstream_inference_cost0
provider_name"SiliconFlow"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
62.07% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags14
adverbTagCount2
adverbTags
0"he said softly [softly]"
1"she asked suddenly [suddenly]"
dialogueSentences29
tagDensity0.483
leniency0.966
rawRatio0.143
effectiveRatio0.138
81.13% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1325
totalAiIsmAdverbs5
found
0
adverb"suddenly"
count2
1
adverb"softly"
count1
2
adverb"really"
count1
3
adverb"very"
count1
highlights
0"suddenly"
1"softly"
2"really"
3"very"
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)
5.66% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1325
totalAiIsms25
found
0
word"electric"
count1
1
word"chill"
count1
2
word"reminder"
count1
3
word"velvet"
count1
4
word"ensure"
count1
5
word"traced"
count1
6
word"chaotic"
count1
7
word"lilt"
count1
8
word"resonance"
count1
9
word"pang"
count1
10
word"racing"
count1
11
word"weight"
count2
12
word"practiced ease"
count1
13
word"whisper"
count1
14
word"silence"
count2
15
word"profound"
count1
16
word"familiar"
count1
17
word"rhythmic"
count1
18
word"unspoken"
count1
19
word"tension"
count1
20
word"efficient"
count1
21
word"depths"
count1
22
word"sense of"
count1
highlights
0"electric"
1"chill"
2"reminder"
3"velvet"
4"ensure"
5"traced"
6"chaotic"
7"lilt"
8"resonance"
9"pang"
10"racing"
11"weight"
12"practiced ease"
13"whisper"
14"silence"
15"profound"
16"familiar"
17"rhythmic"
18"unspoken"
19"tension"
20"efficient"
21"depths"
22"sense of"
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
emotionTells1
narrationSentences66
matches
0"felt a flush"
56.28% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount3
narrationSentences66
filterMatches
0"look"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences81
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen40
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1318
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions14
unquotedAttributions0
matches(empty)
90.24% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions23
wordCount1004
uniqueNames10
maxNameDensity1.2
worstName"Aurora"
maxWindowNameDensity2
worstWindowName"Aurora"
discoveredNames
Raven1
Nest1
Soho1
London2
Yu-Fei1
Cheung1
Eva1
Aurora12
Cardiff2
Evan1
persons
0"Raven"
1"Nest"
2"Yu-Fei"
3"Cheung"
4"Eva"
5"Aurora"
6"Evan"
places
0"Soho"
1"London"
2"Cardiff"
globalScore0.902
windowScore1
60.71% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences56
glossingSentenceCount2
matches
0"felt like a relic from a different life"
1"weight that seemed to pull at the very fabric of his being"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.759
wordCount1318
matches
0"not for the man who had just left, but for the version of herself"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences81
matches(empty)
96.41% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs32
mean41.19
std20.08
cv0.487
sampleLengths
092
177
262
375
412
514
656
723
838
930
1044
1146
1233
1352
1436
1538
1655
175
1839
1930
2039
2171
2217
2340
2429
2526
2630
2732
2817
2943
3054
3163
94.63% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences66
matches
0"been spoken"
1"was used"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs169
matches
0"was apologizing"
37.04% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount0
flaggedSentences3
totalSentences81
ratio0.037
matches
0"She caught her reflection in a darkened mirror behind the bar—a face that looked older than twenty-five, eyes a shade of bright blue that felt too piercing for the dimness."
1"But the eyes—the way they narrowed in that specific, inquisitive tilt—were unmistakable."
2"She was used to secrets—she lived in a city built on them—but this felt intimate, a violation of the silence they had maintained for years."
88.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1017
adjectiveStacks2
stackExamples
0"dim, velvet-heavy space"
1"small, crescent-shaped scar"
adverbCount28
adverbRatio0.02753195673549656
lyAdverbCount8
lyAdverbRatio0.007866273352999017
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences81
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences81
mean16.27
std7.9
cv0.486
sampleLengths
027
116
228
321
415
515
630
717
815
930
1017
1122
1218
1335
142
1510
1614
174
1817
198
2015
2112
223
2320
2424
2514
2613
2717
288
2914
3022
3132
3214
3312
3421
355
3623
3724
386
3918
4012
4113
4225
4317
4438
455
468
4713
4818
4910
42.80% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats12
diversityRatio0.345679012345679
totalSentences81
uniqueOpeners28
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences60
matches(empty)
ratio0
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount36
totalSentences60
matches
0"Her shoulder ached from the"
1"She just wanted a glass"
2"It was a dim, velvet-heavy"
3"It was the kind of"
4"She caught her reflection in"
5"She traced the small, crescent-shaped"
6"She made her way toward"
7"He was older, his hair"
8"she whispered, though the name"
9"He didn't look like a"
10"He was broad-shouldered, his features"
11"His voice had dropped an"
12"He stood up, and Aurora"
13"He moved toward her, the"
14"She felt a sudden, sharp"
15"he said, gesturing toward the"
16"She felt the weight of"
17"he said softly"
18"He signaled to the bartender,"
19"she asked, her voice dropping"
ratio0.6
1.67% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount55
totalSentences60
matches
0"The green neon sign of"
1"Aurora climbed the narrow stairs,"
2"Her shoulder ached from the"
3"She just wanted a glass"
4"It was a dim, velvet-heavy"
5"It was the kind of"
6"Aurora shook her damp hair"
7"She caught her reflection in"
8"She traced the small, crescent-shaped"
9"She made her way toward"
10"A man sat there, hunched"
11"He was older, his hair"
12"The air in her lungs"
13"she whispered, though the name"
14"The man looked up."
15"The name hadn't been spoken,"
16"He didn't look like a"
17"He was broad-shouldered, his features"
18"His voice had dropped an"
19"He stood up, and Aurora"
ratio0.917
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences60
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences42
technicalSentenceCount2
matches
0"She caught her reflection in a darkened mirror behind the bar—a face that looked older than twenty-five, eyes a shade of bright blue that felt too piercing for …"
1"She felt a sudden, sharp pang of embarrassment, the kind that comes from misreading the entire world."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags14
uselessAdditionCount4
matches
0"she whispered, though the name felt like a relic from a different life"
1"Aurora said, the realization stumbling out of her"
2"she asked, her voice dropping to a conspiratorial whisper"
3"Aurora asked, the question feeling foolish even as it left her lips"
81.03% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags14
fancyCount2
fancyTags
0"she whispered (whisper)"
1"he admitted (admit)"
dialogueSentences29
tagDensity0.483
leniency0.966
rawRatio0.143
effectiveRatio0.138
69.9221%