Run: 2026-05-10-01KR91BXYEP5ZGZBH0RYN4TNK8

Run Details

Duration:
1m 16s
Cost:
$0.001059
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 hummed with a low, electric vibration that Aurora could feel in her teeth whenever she stood too close to the entrance. Inside, the bar smelled of damp wool, old mahogany, and the faint, metallic tang of the city filtering in from the Soho streets. It was a dim space, the kind of place where the shadows felt intentional, clinging to the corners and the edges of the black-and-white photographs that lined the walls. Aurora leaned against the brass rail of the bar, her shoulder-length black hair falling forward to shield her face. She was still wearing her delivery gear, the fabric worn thin at the elbows, a smudge of grease across her forearm from a bike chain that had slipped two streets back. She watched Silas move behind the bar. He moved with a measured, rhythmic precision, despite the slight, telltale hitch in his left leg. The silver signet ring on his right hand caught the light every time he polished a glass, a flash of cold metal against his weathered skin. "Rough shift, Rory?" Silas asked, his voice a gravelly baritone that seemed to vibrate in the low ceiling. "The usual," she replied, her voice flat but not unkind. "Three rain-soaked orders and a customer who tried to tip me in expired coupons." Silas offered a thin, knowing smile. He didn't ask for details; he knew the architecture of her life well enough. He was the one who provided the flat upstairs and the quiet sanctuary of the Nest, a man who understood the necessity of disappearing. The door groaned open, admitting a gust of cold October air and a woman who looked entirely out of place in the subterranean gloom of the bar. She was draped in a camel-colored wool coat that probably cost more than Aurora’s bike and the flat above the bar combined. Her blonde hair was pulled back into a severe, architectural bun, and her eyes scanned the room with a clinical efficiency that made Aurora’s pulse spike. Aurora froze. The glass of water in her hand felt suddenly heavy, the condensation slick against her palm. "Eva?" the word escaped Aurora as a whisper, barely audible over the low murmur of the other patrons. The woman stopped. She turned slowly, her gaze locking onto Aurora. For a long moment, neither of them spoke. The silence between them wasn't empty; it was crowded with the ghosts of Cardiff, the echoing halls of the university, and the frantic, whispered phone calls in the dead of night three years ago. Eva stepped forward, the click of her heels sharp against the wooden floor. She looked like a stranger wearing a friend's face. The Eva Aurora had known was a girl of oversized sweaters and ink-stained fingers, a girl who laughed too loudly in the library and dreamed of social justice. This woman was a polished blade, all sharp lines and controlled expressions. "Rory," Eva said. Her voice had changed too—it was lower now, stripped of its childhood lilt, replaced by a curated professional cadence. "What are you doing in London?" Aurora asked. She instinctively pulled her sleeve down, covering the small crescent-shaped scar on her left wrist. "Consulting," Eva replied, her eyes flicking down to Aurora’s delivery uniform. A shadow of something—pity, perhaps, or disappointment—crossed her features. "I’m here for a few weeks. I didn't know you were still... in the city." "I'm still here," Aurora said. "I live above the bar." Eva glanced around the room, her gaze lingering on the old maps and the dim lighting. "It’s very... atmospheric. Quite a change from the law library." The mention of the library hit Aurora like a physical blow. Pre-Law. The path laid out for her by her father, the barrister, and the expectations of a life lived in the structured corridors of justice. She thought of the textbooks she had abandoned, the lecture halls she had fled, and the suffocating grip of Evan. The memory of him was a cold weight in her stomach, a phantom pressure around her throat. "I don't do law anymore," Aurora said, her voice regaining its cool edge. "I gathered," Eva replied. She didn't smile. "I heard you’d drifted. I tried to call you a year ago, but the number was disconnected." "I changed it. A lot of things changed." Eva stepped closer, the scent of expensive perfume—something floral and oppressive—cutting through the smell of the bar. She reached out as if to touch Aurora’s arm, then hesitated, her hand hovering in the air before dropping back to her side. "You look tired, Rory," Eva whispered. "You look like you’re hiding." "Some things are worth hiding from," Aurora replied. The tension between them stretched, a taut wire vibrating with everything they weren't saying. Eva had been the one to pull her out, the one who had coordinated the escape, providing the initial funds and the encouragement to vanish. Eva had been the lifeline. But looking at her now, Aurora realized that while she had survived by stripping her life down to the barest essentials, Eva had survived by building a fortress of status and success. They had both fled the same shadow, but they had run in opposite directions. "I'm staying at the Savoy," Eva said, the name of the hotel sounding like a provocation in the dim light of the Nest. "If you want to get dinner. Truly get caught up. I want to know if you're... safe." Aurora looked at Silas. He was watching them from behind the bar, his hazel eyes unreadable, his expression neutral. He knew the value of a secret and the danger of a bridge rebuilt too quickly. Aurora looked back at Eva. She saw the woman she had once loved like a sister, but she also saw the distance between them—a distance measured not in miles, but in the way they viewed the world. Eva saw a tragedy in Aurora's delivery uniform; Aurora saw a mask in Eva's camel coat. "I can't," Aurora said. "I have a shift tomorrow. And I don't think I'd fit in at the Savoy." Eva’s expression hardened, a flicker of the old, impulsive girl surfacing through the polish. "Is that pride, Rory? Or are you still just afraid?" The question hung in the air, sharp and jagged. Aurora felt the familiar surge of analytical clarity, the ability to see the move before it was made. She realized that Eva didn't want to reconnect; she wanted to verify the wreckage. She wanted to see how far Aurora had fallen so she could feel the height of her own ascent. "Maybe a bit of both," Aurora said calmly. "But I'm safer here than I ever was in Cardiff." Eva stared at her for a long time, the silence stretching until it became uncomfortable. Then, the mask slid back into place. The professional cadence returned, the eyes cooled, and the stranger returned to the surface. "I see," Eva said. "Well. It was good to see you, Rory. I'm glad you're alive." Eva turned and walked toward the door. The click of her heels faded as she stepped back out into the Soho night, leaving the door to swing shut with a heavy thud. Aurora stood still for a long time, the hum of the green neon sign vibrating through the floorboards. She felt a strange mixture of grief and relief, as if she had just closed a book she had been unable to finish for years. Silas slid a fresh glass of water toward her, the silver ring on his hand catching the light. "You okay?" he asked. Aurora looked down at her wrist, the sleeve of her jacket still pulled tight over the scar. She slowly slid the fabric up, exposing the small, crescent-shaped mark to the dim light of the bar. "I'm fine," Aurora said, and for the first time in three years, she realized she actually meant it. "Just a ghost passing through."
created_at"2026-05-10T13:31:30.134Z" 5/10/2026, 1:31:30 PM
model"google/gemma-4-31b-it-20260402"
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external_user(null)
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cancelledfalse
latency782
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generation_time76272
tokens_prompt867
tokens_completion2762
native_tokens_prompt857
native_tokens_completion2494
native_tokens_completion_images(null)
native_tokens_reasoning798
native_tokens_cached0
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num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
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origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
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usage0.00105913
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provider_responses
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latency521
model_permaslug"google/gemma-4-31b-it-20260402"
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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 calmly [calmly]"
dialogueSentences30
tagDensity0.567
leniency1
rawRatio0.059
effectiveRatio0.059
77.56% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1337
totalAiIsmAdverbs6
found
0
adverb"suddenly"
count1
1
adverb"slowly"
count2
2
adverb"very"
count1
3
adverb"truly"
count1
4
adverb"quickly"
count1
highlights
0"suddenly"
1"slowly"
2"very"
3"truly"
4"quickly"
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)
17.73% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1337
totalAiIsms22
found
0
word"electric"
count1
1
word"could feel"
count2
2
word"measured"
count2
3
word"rhythmic"
count1
4
word"sanctuary"
count1
5
word"gloom"
count1
6
word"scanned"
count1
7
word"pulse"
count1
8
word"whisper"
count1
9
word"silence"
count2
10
word"echoing"
count1
11
word"lilt"
count1
12
word"weight"
count1
13
word"stomach"
count1
14
word"oppressive"
count1
15
word"tension"
count1
16
word"unreadable"
count1
17
word"flicker"
count1
18
word"familiar"
count1
highlights
0"electric"
1"could feel"
2"measured"
3"rhythmic"
4"sanctuary"
5"gloom"
6"scanned"
7"pulse"
8"whisper"
9"silence"
10"echoing"
11"lilt"
12"weight"
13"stomach"
14"oppressive"
15"tension"
16"unreadable"
17"flicker"
18"familiar"
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
narrationSentences79
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences79
filterMatches(empty)
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences92
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen34
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1331
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions14
unquotedAttributions0
matches(empty)
31.16% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions61
wordCount1136
uniqueNames9
maxNameDensity2.38
worstName"Aurora"
maxWindowNameDensity4
worstWindowName"Aurora"
discoveredNames
Raven1
Nest3
Aurora27
Soho2
Silas5
October1
Cardiff1
Eva20
Evan1
persons
0"Raven"
1"Nest"
2"Aurora"
3"Silas"
4"Eva"
5"Evan"
places
0"Soho"
1"Cardiff"
globalScore0.312
windowScore0.333
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences62
glossingSentenceCount1
matches
0"looked like a stranger wearing a friend's"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.751
wordCount1331
matches
0"not in miles, but in the way they viewed the world"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences92
matches
0"realized that Eva"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs38
mean35.03
std23.82
cv0.68
sampleLengths
081
199
218
324
444
575
618
718
853
962
1022
1123
1235
1310
1426
1573
1613
1724
188
1940
2011
218
2290
2340
2435
2553
2619
2724
2860
2918
3036
3116
3232
3343
3418
354
3635
3723
91.94% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences79
matches
0"was draped"
1"was pulled"
2"was made"
85.71% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs175
matches
0"was still wearing"
1"weren't saying"
2"was watching"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount6
semicolonCount4
flaggedSentences8
totalSentences92
ratio0.087
matches
0"He didn't ask for details; he knew the architecture of her life well enough."
1"The silence between them wasn't empty; it was crowded with the ghosts of Cardiff, the echoing halls of the university, and the frantic, whispered phone calls in the dead of night three years ago."
2"Her voice had changed too—it was lower now, stripped of its childhood lilt, replaced by a curated professional cadence."
3"A shadow of something—pity, perhaps, or disappointment—crossed her features."
4"Eva stepped closer, the scent of expensive perfume—something floral and oppressive—cutting through the smell of the bar."
5"She saw the woman she had once loved like a sister, but she also saw the distance between them—a distance measured not in miles, but in the way they viewed the world."
6"Eva saw a tragedy in Aurora's delivery uniform; Aurora saw a mask in Eva's camel coat."
7"She realized that Eva didn't want to reconnect; she wanted to verify the wreckage."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1150
adjectiveStacks1
stackExamples
0"small crescent-shaped scar"
adverbCount33
adverbRatio0.028695652173913042
lyAdverbCount12
lyAdverbRatio0.010434782608695653
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences92
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences92
mean14.47
std8.01
cv0.554
sampleLengths
029
123
229
319
431
57
616
726
818
910
1014
116
1214
1324
1427
1522
1626
172
1816
1918
203
218
228
2334
2413
259
2628
2712
283
2919
308
3115
3211
339
3415
355
365
3716
3810
3911
401
4124
4220
4317
4413
454
463
4717
488
4917
40.58% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats11
diversityRatio0.31521739130434784
totalSentences92
uniqueOpeners29
49.02% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences68
matches
0"Then, the mask slid back"
ratio0.015
78.82% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount24
totalSentences68
matches
0"It was a dim space,"
1"She was still wearing her"
2"She watched Silas move behind"
3"He moved with a measured,"
4"she replied, her voice flat"
5"He didn't ask for details;"
6"He was the one who"
7"She was draped in a"
8"Her blonde hair was pulled"
9"She turned slowly, her gaze"
10"She looked like a stranger"
11"Her voice had changed too—it"
12"She instinctively pulled her sleeve"
13"She thought of the textbooks"
14"She didn't smile."
15"She reached out as if"
16"They had both fled the"
17"He was watching them from"
18"He knew the value of"
19"She saw the woman she"
ratio0.353
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount64
totalSentences68
matches
0"The green neon sign of"
1"It was a dim space,"
2"Aurora leaned against the brass"
3"She was still wearing her"
4"She watched Silas move behind"
5"He moved with a measured,"
6"The silver signet ring on"
7"Silas asked, his voice a"
8"she replied, her voice flat"
9"Silas offered a thin, knowing"
10"He didn't ask for details;"
11"He was the one who"
12"The door groaned open, admitting"
13"She was draped in a"
14"Her blonde hair was pulled"
15"The glass of water in"
16"the word escaped Aurora as"
17"The woman stopped."
18"She turned slowly, her gaze"
19"The silence between them wasn't"
ratio0.941
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences68
matches(empty)
ratio0
36.47% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences47
technicalSentenceCount7
matches
0"It was a dim space, the kind of place where the shadows felt intentional, clinging to the corners and the edges of the black-and-white photographs that lined th…"
1"She was still wearing her delivery gear, the fabric worn thin at the elbows, a smudge of grease across her forearm from a bike chain that had slipped two street…"
2"He was the one who provided the flat upstairs and the quiet sanctuary of the Nest, a man who understood the necessity of disappearing."
3"The door groaned open, admitting a gust of cold October air and a woman who looked entirely out of place in the subterranean gloom of the bar."
4"Her blonde hair was pulled back into a severe, architectural bun, and her eyes scanned the room with a clinical efficiency that made Aurora’s pulse spike."
5"The Eva Aurora had known was a girl of oversized sweaters and ink-stained fingers, a girl who laughed too loudly in the library and dreamed of social justice."
6"She reached out as if to touch Aurora’s arm, then hesitated, her hand hovering in the air before dropping back to her side."
36.76% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags17
uselessAdditionCount3
matches
0"she replied, her voice flat but not unkind"
1"Eva replied, her eyes flicking down to Aurora’s delivery uniform"
2"Aurora said, her voice regaining its cool edge"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags16
fancyCount1
fancyTags
0"Eva whispered (whisper)"
dialogueSentences30
tagDensity0.533
leniency1
rawRatio0.063
effectiveRatio0.063
74.6588%