Run: 2026-05-10-01KR8ZAQ3E5B3HW9CRWBQABG7M

Run Details

Duration:
1m 3s
Cost:
$0.000788
Provider:
DeepInfra

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 flickered with a rhythmic, mechanical hum, casting a jaundiced light over the wet Soho pavement. Inside, the air was thick with the scent of stale hops, clove cigarettes, and the damp wool of rain-soaked coats. Aurora stepped through the door, the bell chiming a lonely note that was quickly swallowed by the low murmur of the after-work crowd. She leaned against the mahogany bar, her shoulder-length black hair still clinging to her cheeks in damp strands. Her delivery bag, smelling faintly of sesame oil and ginger from a long shift at Golden Empress, sat heavy on the stool beside her. She didn’t order a drink immediately; she just watched the room. The walls were a gallery of faded history, plastered with yellowing maps of territories that no longer existed and black-and-white photographs of men in trench coats who looked like they had seen too much. Silas was behind the bar, moving with a practiced, economical grace despite the slight, rhythmic hitch in his left leg. He didn’t look up as he polished a highball glass, but he acknowledged her with a brief, knowing nod. The silver signet ring on his right hand caught the dim light, flashing like a signal. "Long shift, Rory?" Silas asked, his voice a gravelly baritone that seemed to vibrate in the small space. "The worst," she replied, rubbing the small crescent-shaped scar on her left wrist—a nervous habit she hadn't managed to kill in a decade. "Traffic on Oxford Street is a nightmare. I think the city is trying to actively push me back to Cardiff." Silas offered a thin, dry smile. "Cardiff is too quiet for you. You’d be bored within a week, and then you’d start reorganizing the local library’s filing system just to feel something." Aurora laughed, but the sound was cut short. The door opened again, admitting a gust of cold London air and a man who looked entirely out of place in the dim, lived-in comfort of the Nest. He was dressed in a charcoal suit that cost more than Aurora’s yearly rent, his posture rigid, his eyes scanning the room with a predatory precision. Aurora froze. The air in her lungs seemed to solidify. "Julian?" she whispered, the name tasting like copper and old grief. The man stopped. His gaze locked onto hers, and for a moment, the noise of the bar vanished. The clink of glasses, the distant laughter, the hum of the neon sign—all of it fell away, leaving only the two of them in a vacuum of shared history. Julian hadn’t changed in the way people usually did. He hadn't grown soft or weathered. Instead, he had become a sharpened version of the boy she had known in university. The softness in his jaw had vanished, replaced by a hard, sculpted line. His eyes, once wide with a frantic, academic curiosity, were now hooded and distant. "Aurora," he said. His voice was a polished stone, smooth and cold. "I heard you disappeared. I didn't realize you’d just moved a few boroughs over." "I didn't disappear," she said, her voice regaining its edge. "I relocated. There’s a difference." Julian stepped closer, his polished oxfords clicking on the hardwood. He stopped a few feet away, maintaining a distance that felt intentional, almost clinical. He looked at her—really looked at her—taking in the delivery uniform, the tired shadows under her bright blue eyes, and the way she held herself, guarded and coiled. "You were the top of the class," Julian said. It wasn't a compliment; it was an observation of a failed investment. "Pre-Law. The brilliance of the Carter lineage. I remember the way you used to dismantle a professor's argument in three sentences. You had a mind like a scalpel, Aurora." "Scalpels are for cutting things out," she replied, shifting her weight. "I decided I was tired of the surgery." Julian let out a short, mirthless breath that might have been a laugh. "Is that what we're calling it? Living in a flat above a pub and delivering takeout? It’s a very committed performance of humility." The tension between them was a physical thing, a taut wire stretched to the breaking point. For years, Julian had been the golden boy, the one who had navigated the social hierarchies of their youth with an ease that bordered on the sociopathic. He had been the bridge between Aurora’s intellect and the world of power she had been groomed for. And then, the crash had come—a messy, jagged break involving secrets and betrayals that neither of them had ever properly named. "What are you doing here, Julian?" she asked. "This isn't your kind of place. Too many stains on the carpet." "I’m in town for a merger," he said, glancing around the bar with a flicker of distaste. "I remembered this place from a tip. A 'discreet' spot. I didn't expect to find a ghost haunting the premises." Silas stepped in then, sliding a glass of amber liquid toward Julian without being asked. He didn't speak, but his hazel eyes were narrowed, observing Julian with the detached scrutiny of a man who had spent his life reading people for weaknesses. The silence from the bartender was more oppressive than any question. Julian ignored the drink. He stepped a fraction closer, his voice dropping. "Do you ever wonder where it went wrong? The trajectory we were on?" Aurora felt the familiar pull of the old gravity. For a second, she wasn't twenty-five and exhausted; she was twenty, sitting in a rain-slicked courtyard in Cardiff, believing that they were the only two people in the world who understood the architecture of ambition. "It didn't go wrong," Aurora said, her voice steady despite the hammering of her heart. "It just ended. You chose the trajectory. I just stopped flying in your wake." Julian’s expression flickered. For a heartbeat, the mask slipped, and she saw the hollowed-out boy beneath the charcoal suit—the one who had been terrified of being ordinary, the one who had pushed her away the moment she became a mirror reflecting his own insecurities. "I tried to find you," he lied. The lie was effortless, polished to a high sheen. "After everything. I wrote letters." "I never got any letters," she said. The silence that followed was heavy with the weight of the unspoken. It was the silence of years spent pretending the other didn't exist, of regrets that had fermented into something bitter and permanent. Julian looked at her wrist, his eyes catching the crescent scar. He remembered the day she’d gotten it; he remembered the way he had held her hand while she cried, promising her that they would always be the exception to the rule. "You look tired, Aurora," he said softly. "I'm exhausted," she admitted, and for the first time, it didn't feel like a defeat. "But I sleep better than you do. I can tell by the way you're standing. You're waiting for someone to tell you that you've won, but you've forgotten what the prize was." Julian stared at her, and for a moment, she thought he might reach out. He didn't. He stepped back, the distance returning, the wall sliding back into place. He looked at the amber drink Silas had poured, then back at her. "Some things are better left as ghosts," he said. He turned and walked toward the door, his stride confident and rhythmic. He didn't look back as he stepped out into the Soho rain, the green neon sign flashing once, twice, and then plunging the entrance into a brief, suffocating darkness. Aurora stood still for a long time, the ghost of his presence lingering in the scent of expensive cologne and cold rain. She felt a sudden, sharp lightness in her chest, as if a tether she hadn't known she was still dragging had finally snapped. Silas reached over and pushed a glass of water toward her. "He was a loud noise in a quiet room," Silas said softly. Aurora took a sip of the water, her blue eyes reflecting the flickering green light of the sign. "He always was."
created_at"2026-05-10T12:55:53.205Z" 5/10/2026, 12:55:53 PM
model"google/gemma-4-31b-it-20260402"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency150
moderation_latency(null)
generation_time63043
tokens_prompt867
tokens_completion2028
native_tokens_prompt859
native_tokens_completion1780
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)
usage0.00078807
router(null)
provider_responses
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endpoint_id"4149ab03-3b69-45a0-b94c-6c253b8641a1"
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is_byokfalse
latency63
model_permaslug"google/gemma-4-31b-it-20260402"
provider_name"DeepInfra"
status200
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http_referer(null)
request_id"req-1778417753-FfadchOtv3tUny38r8sU"
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api_type"completions"
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upstream_id"chatcmpl-Rjcp3BFFBksa0CXgxKVw5pqP"
total_cost0.00078807
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provider_name"DeepInfra"
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Evaluation details

Result Evaluator Details Meta Data
75.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags16
adverbTagCount2
adverbTags
0"he said softly [softly]"
1"Silas said softly [softly]"
dialogueSentences30
tagDensity0.533
leniency1
rawRatio0.125
effectiveRatio0.125
81.67% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1364
totalAiIsmAdverbs5
found
0
adverb"quickly"
count1
1
adverb"really"
count1
2
adverb"very"
count1
3
adverb"softly"
count2
highlights
0"quickly"
1"really"
2"very"
3"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)
30.35% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1364
totalAiIsms19
found
0
word"flickered"
count2
1
word"rhythmic"
count3
2
word"mechanical"
count1
3
word"scanning"
count1
4
word"weight"
count2
5
word"tension"
count1
6
word"navigated"
count1
7
word"flicker"
count1
8
word"silence"
count3
9
word"oppressive"
count1
10
word"familiar"
count1
11
word"effortless"
count1
12
word"unspoken"
count1
highlights
0"flickered"
1"rhythmic"
2"mechanical"
3"scanning"
4"weight"
5"tension"
6"navigated"
7"flicker"
8"silence"
9"oppressive"
10"familiar"
11"effortless"
12"unspoken"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"air was thick with"
count1
highlights
0"the air was thick with"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences74
matches(empty)
84.94% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount3
narrationSentences74
filterMatches(empty)
hedgeMatches
0"seemed to"
1"managed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences88
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen43
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1358
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions22
unquotedAttributions0
matches(empty)
66.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions36
wordCount1063
uniqueNames10
maxNameDensity1.03
worstName"Julian"
maxWindowNameDensity3
worstWindowName"Julian"
discoveredNames
Raven1
Nest2
Soho2
Golden1
Empress1
Silas7
London1
Aurora9
Julian11
Cardiff1
persons
0"Raven"
1"Nest"
2"Empress"
3"Silas"
4"Aurora"
5"Julian"
places
0"Soho"
1"Golden"
2"London"
3"Cardiff"
globalScore0.983
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences60
glossingSentenceCount1
matches
0"looked like they had seen too much"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1358
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences88
matches
0"believing that they"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs37
mean36.7
std21.39
cv0.583
sampleLengths
066
187
255
318
443
532
662
710
811
947
1057
1126
1215
1352
1450
1519
1636
1782
1820
1937
2053
2125
2244
2329
2444
2521
267
2776
287
2947
3041
319
3241
3345
3411
3512
3621
81.56% Passive voice overuse
Target: ≤2% passive sentences
passiveCount5
totalSentences74
matches
0"was dressed"
1"been groomed"
2"being asked"
3"were narrowed"
4"been terrified"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs186
matches
0"was still dragging"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount6
semicolonCount4
flaggedSentences9
totalSentences88
ratio0.102
matches
0"She didn’t order a drink immediately; she just watched the room."
1"\"The worst,\" she replied, rubbing the small crescent-shaped scar on her left wrist—a nervous habit she hadn't managed to kill in a decade."
2"The clink of glasses, the distant laughter, the hum of the neon sign—all of it fell away, leaving only the two of them in a vacuum of shared history."
3"He looked at her—really looked at her—taking in the delivery uniform, the tired shadows under her bright blue eyes, and the way she held herself, guarded and coiled."
4"It wasn't a compliment; it was an observation of a failed investment."
5"And then, the crash had come—a messy, jagged break involving secrets and betrayals that neither of them had ever properly named."
6"For a second, she wasn't twenty-five and exhausted; she was twenty, sitting in a rain-slicked courtyard in Cardiff, believing that they were the only two people in the world who understood the architecture of ambition."
7"For a heartbeat, the mask slipped, and she saw the hollowed-out boy beneath the charcoal suit—the one who had been terrified of being ordinary, the one who had pushed her away the moment she became a mirror reflecting his own insecurities."
8"He remembered the day she’d gotten it; he remembered the way he had held her hand while she cried, promising her that they would always be the exception to the rule."
93.32% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1079
adjectiveStacks1
stackExamples
0"small crescent-shaped scar"
adverbCount44
adverbRatio0.04077849860982391
lyAdverbCount15
lyAdverbRatio0.013901760889712697
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences88
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences88
mean15.43
std8.52
cv0.552
sampleLengths
023
120
223
318
424
511
634
720
819
916
1018
1123
1220
136
1426
158
1628
1726
182
198
2011
213
2215
2329
249
256
2615
2713
2814
293
309
3114
3210
335
3410
3514
3628
379
3812
3929
4011
418
4213
4323
4416
4527
4618
4721
488
4912
42.05% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.3068181818181818
totalSentences88
uniqueOpeners27
50.51% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences66
matches
0"Instead, he had become a"
ratio0.015
44.24% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount29
totalSentences66
matches
0"She leaned against the mahogany"
1"Her delivery bag, smelling faintly"
2"She didn’t order a drink"
3"He didn’t look up as"
4"she replied, rubbing the small"
5"He was dressed in a"
6"she whispered, the name tasting"
7"His gaze locked onto hers,"
8"He hadn't grown soft or"
9"His eyes, once wide with"
10"His voice was a polished"
11"she said, her voice regaining"
12"He stopped a few feet"
13"He looked at her—really looked"
14"It wasn't a compliment; it"
15"she replied, shifting her weight"
16"He had been the bridge"
17"he said, glancing around the"
18"He didn't speak, but his"
19"He stepped a fraction closer,"
ratio0.439
5.45% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount60
totalSentences66
matches
0"The green neon sign of"
1"Aurora stepped through the door,"
2"She leaned against the mahogany"
3"Her delivery bag, smelling faintly"
4"She didn’t order a drink"
5"The walls were a gallery"
6"Silas was behind the bar,"
7"He didn’t look up as"
8"The silver signet ring on"
9"Silas asked, his voice a"
10"she replied, rubbing the small"
11"Silas offered a thin, dry"
12"Aurora laughed, but the sound"
13"The door opened again, admitting"
14"He was dressed in a"
15"The air in her lungs"
16"she whispered, the name tasting"
17"The man stopped."
18"His gaze locked onto hers,"
19"The clink of glasses, the"
ratio0.909
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences66
matches(empty)
ratio0
0.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences44
technicalSentenceCount9
matches
0"Aurora stepped through the door, the bell chiming a lonely note that was quickly swallowed by the low murmur of the after-work crowd."
1"The door opened again, admitting a gust of cold London air and a man who looked entirely out of place in the dim, lived-in comfort of the Nest."
2"He was dressed in a charcoal suit that cost more than Aurora’s yearly rent, his posture rigid, his eyes scanning the room with a predatory precision."
3"He stopped a few feet away, maintaining a distance that felt intentional, almost clinical."
4"For years, Julian had been the golden boy, the one who had navigated the social hierarchies of their youth with an ease that bordered on the sociopathic."
5"He didn't speak, but his hazel eyes were narrowed, observing Julian with the detached scrutiny of a man who had spent his life reading people for weaknesses."
6"For a second, she wasn't twenty-five and exhausted; she was twenty, sitting in a rain-slicked courtyard in Cardiff, believing that they were the only two people…"
7"It was the silence of years spent pretending the other didn't exist, of regrets that had fermented into something bitter and permanent."
8"She felt a sudden, sharp lightness in her chest, as if a tether she hadn't known she was still dragging had finally snapped."
62.50% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags16
uselessAdditionCount2
matches
0"she said, her voice regaining its edge"
1"Aurora said, her voice steady despite the hammering of her heart"
56.25% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags16
fancyCount3
fancyTags
0"she whispered (whisper)"
1"he lied (lie)"
2"she admitted (admit)"
dialogueSentences30
tagDensity0.533
leniency1
rawRatio0.188
effectiveRatio0.188
72.4835%