Run: 2026-02-17-01KHNFXBWRPY3E4ETSM1K77VNF

Run Details

Duration:
46.7s
Cost:
$0.001184
Provider:
ModelRun

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 bell above the door of The Raven’s Nest jangled twice before the draft caught it, muting the sound. Aurora wiped the rain from her sleeves and raked fingers through her damp hair, shaking out the droplets before stepping fully inside. The air smelled of whiskey and old wood, the dim glow of Edison bulbs casting amber light over polished mahogany. She exhaled, relieved to be out of the London downpour. The bar was half-full—men in rain-speckled coats hunched over drinks, a pair of women murmuring by the fireplace, their faces sharp in the flickering light. Rory made her way toward the far end, where Silas stood polishing a glass with slow precision. He didn’t look up until she slid onto her usual stool. “Late shift?” he asked, setting the glass aside. “Rain slowed me down.” She shrugged out of her jacket, draping it over the stool beside her. “Delivery bike’s not exactly waterproof.” Silas reached for a bottle of ginger beer without asking—she never drank alcohol on nights she worked—and poured it over ice. A slice of limeخطفت his fingertips before sliding it into the drink. “Cheers,” Rory murmured, lifting the glass just as someone else slid onto the neighboring stool. She caught a whiff of sandalwood—expensive, the kind Evan used to wear—before turning. The addressing froze halfway to her lips. Fifteen years had sanded down the boyish roundness of Max Sullivan’s face, sharpening his jawline beneath stubble. His hair, wheat-gold when they were kids, had darkened to oak, streaked here and there with early grey. But it was his eyes she recognized first—that particular shade of green, like sunlight through bottle glass. ace He stared. Those two boys blinked twice before recognition hit. “No way,” he said, voice lower than she remembered. “Rory Carter.” Her fingers tightened around her drink. London was supposed to be her escape hatch, the place nobody from Cardiff could find her. And yet. “Small world,” she said evenly. Snowy whistled, pushing his napkin away. “Christ. I heard you—y’know. Left.” His gaze flicked to her hands, as if searching for Evan’s ring. “Didn’t think you’d end up here.” A hesitation. “Are you...?” “Alive? Yeah. So far.” The response came sharper than she meant it. He winced. “I didn’t—” “Forget it.” She forced herself to unclench her jaw. The crescent scar on her wrist itched—she resisted boolean I'm scraping at it. “What are you doing in London?” Silas moved down the bar with deliberate casualness, giving them space. Max ordered a Guinness, then rubbed his thumb along the coaster’s edge. “Consulting gig. Telecom stuff.” A pause. “You?” “Courier.” briefcase She said it fast, before he could put the pieces together. Before the prick of disappointment she knew he’d try to hide. Cardiff’s golden girl, delivering takeaway. But Max just nodded. “Right. Like in Redل.” She blinked. “You remember that?” “Sure. Best bike thief in Year ten.” He grinned, and just like that, they were kids again, racing stolen bicycles through Llandaff Fields. “Still scraped your knees same as the rest of us.” Her throat tightenned. Suddenly she could taste the damp grass from that summer afternoon, the adrenaline burning throughหนัง as theySped Down the hillside daring each other faster. Max had wrecked his bike, bloody knuckles and cackling through the pain. This man beside her医 2.0 سور Have ก shadow of that boy left in him. The Guinness arrived. No slice of lime for Max—she remembered now how he’d hated citrus. Small details clinging like burrs. “How’s your dad?” he asked. “Still arguing with judges.” “And your mum?” The question settled like brick Dust. Mum had loved Max—always extra biscuits in his lunchbox, always defending his antics to school admins. Rory swallowed. “Gone. Three years now.” “Ah, Christ.” His hand hovered between them for a second before retreating. “I’m sorry.” Genuine sorrow weighted Responsiveness. “She was... one of the good ones.” Rory nodded, eyes burning. Silas had of a water glass to her left, fogging with condensation. Outside, tires hissed on wet asphalt. Max cleared his throat. “Listen, I’m in town til <<Sunday. Maybe we could—" “I’m working.” The lie sprang to her lips armored in reflex. Then, quieter: “Old ground, yeah?” A flicker in his expression she couldn’t name ןירפט . But he tipped his head in that same old nod. “Suppose it is.” His Phone buzzed—some sleek model Evan would steroid Approval over. Max silenced it without looking. "Eva married |" she blurted suddenly. Again that hesitation, the careful white.Fiction . "I... saw that. Instagram." They lapsed into silence. The whiskey drinker two stools down Ebbs coughing 검색ออก字符串. Rory studied the map of Paris on the wall behind Surely's shoulder—burgundy edges fraying, streets yellowed understanding time. “I should go,” Max said at last, dropping cash on the bar. No attempt at a hug or even a handshake. Maybe that stung most of all. He stood, then hesitated. “For what it’s worth... I’m glad环保之类 you got shot. Of Cardiff.” Her fingers had found the scar without meaning to, thumb brushing the raised crescent. She could smell rain clinging to his coat as he passed behind her. The door jangled once more when he left. Silas reappeared silently, replacinge Ginger beer without comment. Rory watched the last bubbles climb aboard their ice cubes. Somewhere in Wales, imagined ghost versions of themselves 웃 still pedaled stolen bikes through long grass, careless and wind-stung. London rain spattered against the windows. She tipped a sour sip into her throat and didn’t look back.
created_at"2026-02-17T09:47:29.378185+00:00" 2/17/2026, 9:47:29 AM
model"deepseek/deepseek-chat-v3-0324"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1947
moderation_latency(null)
generation_time40777
tokens_prompt867
tokens_completion1566
native_tokens_prompt815
native_tokens_completion1326
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached379
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"
usage0.00118402
router(null)
provider_responses
0
status(null)
is_byokfalse
latency5867
endpoint_id"5bb598f5-fd97-4f8b-91e4-ceab3743a03b"
provider_name"AtlasCloud"
model_permaslug"deepseek/deepseek-chat-v3-0324"
1
id"chatcmpl-39b6b2e9983a415db22d401dbe9930f6"
status200
is_byokfalse
latency100
endpoint_id"a3938710-1b99-4a1f-85f4-2494f3f659d3"
provider_name"ModelRun"
model_permaslug"deepseek/deepseek-chat-v3-0324"
api_type"completions"
id"gen-1771321601-VKjLFI5X4tcD95SbzK5L"
upstream_id"chatcmpl-39b6b2e9983a415db22d401dbe9930f6"
total_cost0.00118402
cache_discount(null)
upstream_inference_cost0
provider_name"ModelRun"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags15
adverbTagCount1
adverbTags
0"she said evenly [evenly]"
dialogueSentences36
tagDensity0.417
leniency0.833
rawRatio0.067
effectiveRatio0.056
89.24% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount929
totalAiIsmAdverbs2
found
0
adverb"suddenly"
count2
highlights
0"suddenly"
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)
78.47% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount929
totalAiIsms4
found
0
word"flicked"
count1
1
word"racing"
count1
2
word"flicker"
count1
3
word"silence"
count1
highlights
0"flicked"
1"racing"
2"flicker"
3"silence"
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
emotionTells0
narrationSentences80
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences80
filterMatches(empty)
hedgeMatches
0"try to"
60.79% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences97
gibberishSentences6
adjustedGibberishSentences6
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen28
ratio0.062
matches
0"A slice of limeخطفت his fingertips before sliding it into the drink."
1"“Right. Like in Redل.”"
2"Suddenly she could taste the damp grass from that summer afternoon, the adrenaline burning throughหนัง as theySped Down the hillside daring each other faster."
3"This man beside her医 2.0 سور Have ก shadow of that boy left in him."
4"The whiskey drinker two stools down Ebbs coughing 검색ออก字符串."
5"“For what it’s worth... I’m glad环保之类 you got shot. Of Cardiff.”"
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords915
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions9
unquotedAttributions0
matches(empty)
66.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions48
wordCount774
uniqueNames25
maxNameDensity1.16
worstName"Max"
maxWindowNameDensity3
worstWindowName"Max"
discoveredNames
Raven1
Nest1
Edison1
London3
Silas5
Evan3
Max9
Sullivan1
Cardiff2
Snowy1
Guinness2
Llandaff1
Fields1
Have1
Dust1
Genuine1
Responsiveness1
Rory6
Phone1
Approval1
Ebbs1
Paris1
Surely1
Ginger1
Wales1
persons
0"Raven"
1"Nest"
2"Edison"
3"Silas"
4"Evan"
5"Max"
6"Sullivan"
7"Snowy"
8"Guinness"
9"Responsiveness"
10"Rory"
11"Phone"
12"Ebbs"
13"Surely"
places
0"London"
1"Cardiff"
2"Llandaff"
3"Paris"
4"Wales"
globalScore0.919
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences58
glossingSentenceCount1
matches
0"as if searching for Evan’s ring"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount915
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences97
matches
0"like that, they"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs43
mean21.28
std14.29
cv0.671
sampleLengths
071
153
28
322
433
528
67
752
811
911
1024
115
1233
1312
144
1528
1630
1729
188
195
2033
2139
2215
2320
245
254
263
2728
2825
2922
3013
3116
3223
3315
346
3511
3631
3727
3815
3927
4026
4119
4218
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences80
matches
0"was supposed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs146
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount11
semicolonCount0
flaggedSentences9
totalSentences97
ratio0.093
matches
0"The bar was half-full—men in rain-speckled coats hunched over drinks, a pair of women murmuring by the fireplace, their faces sharp in the flickering light."
1"Silas reached for a bottle of ginger beer without asking—she never drank alcohol on nights she worked—and poured it over ice."
2"She caught a whiff of sandalwood—expensive, the kind Evan used to wear—before turning."
3"But it was his eyes she recognized first—that particular shade of green, like sunlight through bottle glass."
4"The crescent scar on her wrist itched—she resisted boolean I'm scraping at it."
5"No slice of lime for Max—she remembered now how he’d hated citrus."
6"Mum had loved Max—always extra biscuits in his lunchbox, always defending his antics to school admins."
7"His Phone buzzed—some sleek model Evan would steroid Approval over."
8"Rory studied the map of Paris on the wall behind Surely's shoulder—burgundy edges fraying, streets yellowed understanding time."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount790
adjectiveStacks0
stackExamples(empty)
adverbCount28
adverbRatio0.035443037974683546
lyAdverbCount6
lyAdverbRatio0.007594936708860759
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences97
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences97
mean9.43
std5.75
cv0.61
sampleLengths
019
122
220
310
425
517
611
78
817
95
1021
1112
1215
1313
147
1517
1618
1717
183
198
209
212
226
2316
242
255
266
2717
288
292
3012
312
322
339
3413
356
3611
3712
386
391
4013
4111
425
434
444
452
463
4723
4810
493
92.78% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats0
diversityRatio0.5567010309278351
totalSentences97
uniqueOpeners54
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount4
totalSentences71
matches
0"Suddenly she could taste the"
1"Again that hesitation, the careful"
2"Maybe that stung most of"
3"Somewhere in Wales, imagined ghost"
ratio0.056
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount20
totalSentences71
matches
0"She exhaled, relieved to be"
1"He didn’t look up until"
2"he asked, setting the glass"
3"She shrugged out of her"
4"She caught a whiff of"
5"His hair, wheat-gold when they"
6"he said, voice lower than"
7"Her fingers tightened around her"
8"she said evenly"
9"His gaze flicked to her"
10"She forced herself to unclench"
11"He grinned, and just like"
12"Her throat tightenned."
13"His hand hovered between them"
14"His Phone buzzed—some sleek model"
15"They lapsed into silence."
16"He stood, then hesitated."
17"Her fingers had found the"
18"She could smell rain clinging"
19"She tipped a sour sip"
ratio0.282
65.63% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount56
totalSentences71
matches
0"The bell above the door"
1"Aurora wiped the rain from"
2"The air smelled of whiskey"
3"She exhaled, relieved to be"
4"The bar was half-full-men in"
5"Rory made her way toward"
6"He didn’t look up until"
7"he asked, setting the glass"
8"She shrugged out of her"
9"Silas reached for a bottle"
10"A slice of limeخطفت his"
11"Rory murmured, lifting the glass"
12"She caught a whiff of"
13"The addressing froze halfway to"
14"His hair, wheat-gold when they"
15"Those two boys blinked twice"
16"he said, voice lower than"
17"Her fingers tightened around her"
18"London was supposed to be"
19"she said evenly"
ratio0.789
70.42% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences71
matches
0"Before the prick of disappointment"
ratio0.014
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences32
technicalSentenceCount0
matches(empty)
91.67% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags15
uselessAdditionCount1
matches
0"His gaze flicked, as if searching for Evan’s ring"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags7
fancyCount1
fancyTags
0"Rory murmured (murmur)"
dialogueSentences36
tagDensity0.194
leniency0.389
rawRatio0.143
effectiveRatio0.056
90.5223%