Run: 2026-02-17-01KHMQNE5DJKCGR30QJH2B9PYE

Run Details

Duration:
15.6s
Cost:
$0.002188
Provider:
OpenAI

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 neon green sign of The Raven’s Nest cast a sickly glow on the damp London pavement, flickering like a pulse in the thickening evening fog. Aurora Carter paused beneath its light, the familiar ache of unease prickling at the edges of her mind. She glanced back up the street, shoving dark strands of hair behind her ear, before pushing through the heavy oak door. Inside, the air was warm with the scent of old wood and spilled whiskey, the low murmur of voices winding through the dim space like smoke. Behind the worn bar stood Silas Blackwood, the man who had once been a shadow in her life and, in many ways, still was. He hadn’t changed much, or rather, the changes had settled into him like the rings of a tree—quiet but unmistakable. His auburn hair, now streaked with iron grey, caught the low light. The neat beard that framed his jawline was flecked with silver, matching the deliberate limp he still bore. The silver signet ring on his right hand caught the glow as he polished a glass with slow, practiced movements. Aurora hesitated a moment, caught between the urge to turn and vanish back into the night and the invisible tether that drew her forward. She had left Cardiff years ago, but here in this Soho bar, the years folded back around her. “Rory.” His voice was soft but low, a growl of recognition beneath the clatter of glasses. Her heart thudded unevenly, but she forced herself to meet his hazel eyes. “Silas.” He nodded, a slow, deliberate movement, as if measuring how much the girl he once knew had hardened. “It’s been a long time.” He set the glass down and wiped his hands on a towel, eyes never leaving hers. “Too long,” she muttered. Silas gestured toward the far corner beneath a faded map of old Europe—their usual haunt back when the world seemed smaller and less fractured. “Sit. Tell me how this city’s been treating you.” Aurora slid onto the cracked leather stool, the scar on her left wrist itching beneath the sleeve as she crossed her arms. “London’s... different,” she said carefully. “Busy. Harder. I keep thinking I’m just passing through.” Silas studied her, the sharp crease between his brows deepening. “You don’t look like a passerby.” Her fingers twitched. “No, I’m standing still more than I’d like to admit.” Their silence stretched, loaded and fragile. “Tell me about Evan,” Silas said abruptly, breaking the fatigue between them. The name hit her like a slap, quick and raw. She swallowed hard, steeling herself. “I got out.” “Good,” he said shortly. “I wasn’t sure you would.” “I had to,” she said quietly, eyes flickering away to the bar’s cluttered shelves. “Eva helped. And... well, I work deliveries now. Part-time.” Her voice betrays that indignity—Golden Empress was a far cry from the life she’d imagined. Silas nodded, understanding in the subtle tilt of his head. “Golden Empress. Yu-Fei’s place?” “That’s the one. Small hours, long nights, decent food.” The bar door creaked, and the doorframe swallowed the shadow of a new customer, but neither spoke. Their breaths were measured, as if afraid to disturb the fragile thread reconnecting them. Silas leaned closer. “You’re not the Rory I knew.” “And you’re the Silas I feared might never change,” she said, voice dry but not unkind. He gave a short, humorless laugh. “I’m still the same man who limped into Prague all those years ago. Just learned to hide it better.” Aurora’s gaze softened just a fraction. “You always did have a way of staying hidden.” “For a girl who fled law school faster than a bad case, you sure know how to read people.” His eyes flicked to the small crescent-shaped scar on her wrist, half-hidden beneath the cuff. “Still got that scar from the treehouse?” She traced it lightly with a fingertip, the faint memory bittersweet. “Yeah. Some things don’t change.” “No. Some things definitely don’t.” They sat in shared silence. The muted hum of conversations around them seemed to ebb away, leaving just the two of them in a bubble of years lost and words unsaid. “Why did you come back tonight?” Silas asked, voice low enough for just her to hear. Aurora inhaled sharply. “Maybe I was looking for something I lost. Or maybe just... someone who knew who I was before all this mess.” Silas’s eyes softened. “You’ve carried enough, Rory. You don’t have to carry it alone anymore.” “I don’t know how to stop,” she admitted, the words tumbling out like brittle hopes. “Sometimes,” he said slowly, “the first step is showing up. Like you did.” She met his steady gaze, a flicker of the old trust sparking between them. “I’m scared.” “Good,” Silas said quietly. “It means you still care.” Her laugh was short but genuine. “I guess I do.” “Then we start there.” The neon sign outside buzzed faintly, casting its green glow through the grimy window, washing the two of them in light both fractured and hopeful. Outside, the city trudged onward—relentless, unforgiving—but inside The Raven’s Nest, two lost friends sat rebuilding what time and silence had almost broken.
created_at"2026-02-17T02:43:12.506033+00:00" 2/17/2026, 2:43:12 AM
model"openai/gpt-4.1-mini-2025-04-14"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency938
moderation_latency(null)
generation_time15462
tokens_prompt867
tokens_completion1392
native_tokens_prompt809
native_tokens_completion1165
native_tokens_completion_images0
native_tokens_reasoning0
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"completed"
usage0.0021876
router(null)
provider_responses
0
id"resp_05dc2aec24ac4fc1016993d5b070a081969c8af0d76ad14eeb"
status200
is_byokfalse
latency255
endpoint_id"872eccb7-9c85-45fc-974a-ff7c8e2407e6"
provider_name"OpenAI"
model_permaslug"openai/gpt-4.1-mini-2025-04-14"
api_type"completions"
id"gen-1771296176-WGlCKlCvwLwdrBe0Hj4Y"
upstream_id"resp_05dc2aec24ac4fc1016993d5b070a081969c8af0d76ad14eeb"
total_cost0.0021876
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
0.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags13
adverbTagCount6
adverbTags
0"she said carefully [carefully]"
1"Silas said abruptly [abruptly]"
2"he said shortly [shortly]"
3"she said quietly [quietly]"
4"he said slowly [slowly]"
5"Silas said quietly [quietly]"
dialogueSentences35
tagDensity0.371
leniency0.743
rawRatio0.462
effectiveRatio0.343
76.93% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount867
totalAiIsmAdverbs4
found
0
adverb"carefully"
count1
1
adverb"lightly"
count1
2
adverb"sharply"
count1
3
adverb"slowly"
count1
highlights
0"carefully"
1"lightly"
2"sharply"
3"slowly"
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)
36.56% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount867
totalAiIsms11
found
0
word"pulse"
count1
1
word"familiar"
count1
2
word"fractured"
count2
3
word"silence"
count3
4
word"measured"
count1
5
word"flicked"
count1
6
word"traced"
count1
7
word"flicker"
count1
highlights
0"pulse"
1"familiar"
2"fractured"
3"silence"
4"measured"
5"flicked"
6"traced"
7"flicker"
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
narrationSentences49
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences49
filterMatches(empty)
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences70
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen36
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords862
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions13
unquotedAttributions0
matches(empty)
78.46% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions26
wordCount629
uniqueNames12
maxNameDensity1.43
worstName"Silas"
maxWindowNameDensity2.5
worstWindowName"Silas"
discoveredNames
Raven2
Nest2
London1
Carter1
Silas9
Blackwood1
Cardiff1
Soho1
Europe1
Golden1
Empress1
Aurora5
persons
0"Raven"
1"Nest"
2"Carter"
3"Silas"
4"Blackwood"
5"Aurora"
places
0"London"
1"Cardiff"
2"Soho"
3"Europe"
globalScore0.785
windowScore0.833
18.42% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences38
glossingSentenceCount2
matches
0"as if measuring how much the girl he once knew had hardened"
1"seemed smaller and less fractured"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount862
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences70
matches
0"betrays that indignity"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs37
mean23.3
std20.19
cv0.867
sampleLengths
091
194
242
316
414
539
64
733
836
916
1013
116
1212
1318
149
1538
1614
179
1831
199
2016
2125
2215
2341
2416
255
2631
2716
2824
2915
3015
3113
3216
339
3410
354
3647
90.94% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences49
matches
0"was flecked"
1"were measured"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs108
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount0
flaggedSentences4
totalSentences70
ratio0.057
matches
0"He hadn’t changed much, or rather, the changes had settled into him like the rings of a tree—quiet but unmistakable."
1"Silas gestured toward the far corner beneath a faded map of old Europe—their usual haunt back when the world seemed smaller and less fractured."
2"“Eva helped. And... well, I work deliveries now. Part-time.” Her voice betrays that indignity—Golden Empress was a far cry from the life she’d imagined."
3"Outside, the city trudged onward—relentless, unforgiving—but inside The Raven’s Nest, two lost friends sat rebuilding what time and silence had almost broken."
93.23% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount636
adjectiveStacks1
stackExamples
0"small crescent-shaped scar"
adverbCount26
adverbRatio0.040880503144654086
lyAdverbCount11
lyAdverbRatio0.01729559748427673
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences70
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences70
mean12.31
std7.85
cv0.638
sampleLengths
026
118
221
326
424
520
612
718
820
924
1018
1116
1213
131
1418
1521
164
1724
189
1922
205
219
2210
236
243
2510
266
2712
2810
295
303
314
325
3314
3424
3510
364
379
3817
3914
403
416
4216
436
4419
456
469
4734
487
4911
78.10% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.4857142857142857
totalSentences70
uniqueOpeners34
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences48
matches(empty)
ratio0
11.67% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount25
totalSentences48
matches
0"She glanced back up the"
1"He hadn’t changed much, or"
2"His auburn hair, now streaked"
3"She had left Cardiff years"
4"His voice was soft but"
5"Her heart thudded unevenly, but"
6"He nodded, a slow, deliberate"
7"He set the glass down"
8"she said carefully"
9"Her fingers twitched."
10"Their silence stretched, loaded and"
11"She swallowed hard, steeling herself."
12"he said shortly"
13"she said quietly, eyes flickering"
14"Her voice betrays that indignity—Golden"
15"Their breaths were measured, as"
16"she said, voice dry but"
17"He gave a short, humorless"
18"His eyes flicked to the"
19"She traced it lightly with"
ratio0.521
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount45
totalSentences48
matches
0"The neon green sign of"
1"Aurora Carter paused beneath its"
2"She glanced back up the"
3"He hadn’t changed much, or"
4"His auburn hair, now streaked"
5"The neat beard that framed"
6"The silver signet ring on"
7"Aurora hesitated a moment, caught"
8"She had left Cardiff years"
9"His voice was soft but"
10"Her heart thudded unevenly, but"
11"He nodded, a slow, deliberate"
12"He set the glass down"
13"Silas gestured toward the far"
14"Aurora slid onto the cracked"
15"she said carefully"
16"Silas studied her, the sharp"
17"Her fingers twitched."
18"Their silence stretched, loaded and"
19"Silas said abruptly, breaking the"
ratio0.938
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences48
matches(empty)
ratio0
28.57% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences25
technicalSentenceCount4
matches
0"Behind the worn bar stood Silas Blackwood, the man who had once been a shadow in her life and, in many ways, still was."
1"The neat beard that framed his jawline was flecked with silver, matching the deliberate limp he still bore."
2"He nodded, a slow, deliberate movement, as if measuring how much the girl he once knew had hardened."
3"Their breaths were measured, as if afraid to disturb the fragile thread reconnecting them."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags13
uselessAdditionCount5
matches
0"He set, eyes never leaving hers"
1"she said quietly, eyes flickering away to the bar’s cluttered shelves"
2"she said, voice dry but not unkind"
3"Silas asked, voice low enough for just her to hear"
4"she admitted, the words tumbling out like brittle hopes"
92.86% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags10
fancyCount2
fancyTags
0"she muttered (mutter)"
1"she admitted (admit)"
dialogueSentences35
tagDensity0.286
leniency0.571
rawRatio0.2
effectiveRatio0.114
66.8578%