Run: 2026-03-12-01KKFQKDZVRG8ZXV1DMJW663ZZ

Run Details

Duration:
2m 13s
Cost:
$0.000000
Provider:
Stealth

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="4415" name="Lucien Moreau" aliases="Lucien, Luc, the Frenchman" pronouns="he/him" species="Half-Demon" storyRole="Ally"> <eyeColor>heterochromatic — one amber, one black</eyeColor> <hair>slicked-back platinum blond</hair> <height>5'11"</height> <age>32</age> <cane>ivory-handled cane that conceals a thin blade</cane> <dress>tailored charcoal suits</dress> <description>An impeccably dressed fixer and information broker in London's supernatural underworld. He speaks four languages fluently.</description> <backstory>Born in Marseille to a human mother and a demon father from the realm of Avaros.</backstory> </character> <location id="858" name="Eva's Flat" aliases="Eva's place, the flat on Brick Lane" realm="Earth"> <cat>tabby cat named Ptolemy</cat> <security>three deadbolts on the front door</security> <description>A cramped one-bedroom flat above a curry house on Brick Lane, East London. Every surface is covered with books, scrolls, and research notes.</description> </location> </codex> Write a fully fleshed out scene of at least 1000 words in the romance genre. Two people who parted on complicated terms are forced together again when one shows up unannounced at the other's flat. There's history between them — attraction, hurt, and things left unsaid. Write the scene from the moment the door opens. 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 knock came at half-past midnight, a soft but authoritative rap of knuckles against wood that cut through the low hum of the curry house below and the rustle of turning pages. Aurora froze, a half-eaten samosa halfway to her mouth, Ptolemy the tabby dissolving from a warm weight on her lap into a orange streak under the sofa. The three deadbolts on the door were her first thought. The second was that Eva always texted first. The third, a cold trickle down her spine, was that Evan didn’t know this address. She set the samosa down, wiped her fingers on her jeans, and moved silently to the door. The peephole showed a distorted, fish-eye view of a charcoal-clad shoulder, the glint of platinum hair. She knew that silhouette. Her heart, which had been thudding with fear, performed a complicated stumble. She threw the deadbolts—the sharp *snick, snick, snick* sounded like accusations—and opened the door. Lucien Moreau stood in the dim hallway, looking as out of place as a diamond in a coal scuttle. His suit was immaculate, not a thread disturbed by the London drizzle she could see misting behind him. His cane, the ivory head gleaming, was held loosely in one hand. But it was his eyes that snagged her. The left, a warm, unsettling amber; the right, a void of pure black. They held a weary sheen she’d rarely seen there. “Rory,” he said. His voice was its usual velvet, but with a thread of frayed silk running through it. “Lucien.” She kept her voice cool, neutral. A defense mechanism honed over two years. “It’s late.” “I am aware.” He didn’t look at the hallway, or down at the curry-scented stairwell. His gaze was entirely on her, and she felt it like a physical touch, mapping the changes since their last, acrid meeting. “May I come in? Or shall we discuss my affairs on the landing?” She wanted to say no. The word was a hard stone on her tongue. But something in the set of his shoulders, a micro-tremor she might have imagined, and the sheer, uncharacteristic lack of preamble made her step back. “You have five minutes.” He entered, and the small flat shrank further. He seemed to absorb the light, the tailored lines of his suit a stark contrast to the organized chaos of Eva’s world. Books were stacked in precarious columns, scrolls tied with ribbon spilled from a crate, and notepaper covered every available surface with Eva’s frantic scrawl. He took it in with a single, sweeping glance, his lip twitching. “Charming.” “What do you want, Lucien?” She closed the door but didn’t re-engage the locks. A small, foolish signal of control. He didn’t answer immediately. He moved to the only uncluttered corner, by the window overlooking the vibrant, noisy street, and rested both hands on his cane. The motion was deliberate, weary. “I require a place to lie low. For a night. Perhaps two.” “Out of the question.” The refusal was instant, instinctive. “There are a hundred bolt-holes in this city for someone like you. Go to one.” “Someone like me?” The amber eye glinted. “A fixer. An information broker. A man with more enemies than friends.” He gave a short, humourless laugh. “Precisely. My usual bolt-holes are compromised. A certain faction from the Avarosian consulate has taken exception to a recent… transaction. They are looking for me. They will not look here.” He finally met her eyes fully. “Because you and I are not on speaking terms. The last time we spoke, you threw a very expensive bottle of Bordeaux at my head.” The memory flared, hot and vivid. The shouting in his sleek Mayfair office. Her accusations of being used, of being just another pawn on his board. The satisfying smash of dark red wine against the pristine wall. “I missed.” “A narrow margin,” he conceded. A hint of a real smile touched his mouth, a ghost of the charm that had first disarmed her. “I would not have sought you out if I had any other option, Rory. Believe that.” She did. That was the infuriating thing. Lucien was many things—cunning, manipulative, a creature of calculated risk—but he was not needlessly desperate. He wouldn’t come to the one person in the city guaranteed to slam a door in his face unless every other door had already been barred. She crossed her arms, the small crescent scar on her left wrist a familiar, grounding pressure against her sleeve. “Eva’s not here. She’s at a symposium in Edinburgh until Tuesday.” “I know. That is why I am here. The flat is yours, is it not? For now?” His knowledge shouldn’t have surprised her. It was his currency. “It is.” Ptolemy, emboldened by the silence, crept out from under the sofa. He sniffed the air in Lucien’s direction, then, with the fickle judgment of cats, padded over and began to weave between the Frenchman’s ankles. Lucien looked down, momentarily startled. He bent, slowly, and ran a hand along the cat’s back. The sight was so incongruously gentle it made Aurora’s chest ache. “Please,” he said, not looking at her, his attention on the purring cat. “I will be no trouble. You will not even know I am here.” “I always know when you’re here, Lucien.” The words slipped out, honest and raw. She wished she could call them back. He stilled. Then he straightened, and his eyes, both of them, held hers. The air in the cluttered flat grew thick, charged with all the things they’d screamed at each other, and the quieter, more dangerous things they’d whispered in the dark before that. The attraction was still there, a live wire humming beneath the floorboards of their hostility. She hated it. She hated the way her pulse jumped at the hollow of her throat. “One night,” she said, her voice rough. “You sleep on the sofa. You don’t touch my work, or Eva’s. And you are gone by dusk tomorrow.” Relief, stark and undisguised, softened the hard lines of his face. “Agreed.” He shrugged out of his suit jacket, folding it with meticulous care and placing it on a stack of books. The movement pulled his waistcoat tight across his chest, and she looked away, busying herself with taking her mug to the sink. The domesticity of the gesture felt absurd. “There’s a blanket in the trunk,” she said, not turning around. “And a pillow.” She heard him move, the quiet tap of his cane, the rustle of fabric. When she turned back, he had removed his shoes and was sitting on the edge of the sofa, the blanket draped over his lap. He had loosened his tie. He looked… human. Vulnerable in a way he never allowed himself to be in his world of shadows and secrets. “Thank you, Rory,” he said quietly. She didn’t trust herself to speak. She nodded, a sharp jerk of her chin, and retreated to the sanctuary of her bedroom, closing the door firmly behind her. She leaned against it, eyes shut, listening to the muffled sounds from the other room. The soft thud of his cane being set aside. The creak of the old sofa as he settled. The low, rumbling purr of Ptolemy, who had clearly chosen his allegiance for the night. She was furious. At him, for showing up. At herself, for letting him in. For the traitorous flutter in her stomach that wasn’t just anger. It was the memory of late-night conversations in four languages, of a hand steadying her elbow in a crowd, of a laugh that was rare and therefore precious. It was the hurt of discovering that a man who traded in information had never traded in the one thing that mattered: the truth of what she was to him. On the other side of the door, Lucien lay in the dark, listening to the city and the even softer sound of her breathing from the other room. The cat was a warm circle of trust pressed against his side. He had calculated the risks of coming here—the risk to his safety, the risk to the fragile, bitter peace between them. He had not fully calculated the risk to his own heart, to the raw nerve she exposed simply by existing, by letting him in with her angry eyes and guarded heart. He was here because he was desperate, yes. But as the familiar scent of old paper and her faint, citrusy shampoo filled his senses, he acknowledged the more dangerous truth. He was here because, of all the bolt-holes in the world, this was the only one where he might, however briefly, stop running.
created_at"2026-03-12T00:37:02.088Z" 3/12/2026, 12:37:02 AM
model"openrouter/hunter-alpha"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency92097
moderation_latency(null)
generation_time133357
tokens_prompt808
tokens_completion2478
native_tokens_prompt774
native_tokens_completion2124
native_tokens_completion_images(null)
native_tokens_reasoning322
native_tokens_cached384
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
router(null)
provider_responses(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1773275822-7amFin1DRRcWaFzfs3i5"
upstream_id"gen-1773275822-7amFin1DRRcWaFzfs3i5"
total_cost0
cache_discount(null)
upstream_inference_cost0
provider_name"Stealth"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags11
adverbTagCount1
adverbTags
0"he said quietly [quietly]"
dialogueSentences30
tagDensity0.367
leniency0.733
rawRatio0.091
effectiveRatio0.067
86.22% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1451
totalAiIsmAdverbs4
found
0
adverb"loosely"
count1
1
adverb"precisely"
count1
2
adverb"very"
count1
3
adverb"slowly"
count1
highlights
0"loosely"
1"precisely"
2"very"
3"slowly"
100.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found(empty)
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
24.19% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1451
totalAiIsms22
found
0
word"weight"
count1
1
word"down her spine"
count1
2
word"glint"
count1
3
word"gleaming"
count1
4
word"velvet"
count1
5
word"silk"
count1
6
word"stark"
count2
7
word"pawn"
count1
8
word"pristine"
count1
9
word"charm"
count1
10
word"calculated"
count3
11
word"familiar"
count2
12
word"silence"
count1
13
word"charged"
count1
14
word"pulse"
count1
15
word"sanctuary"
count1
16
word"firmly"
count1
17
word"stomach"
count1
highlights
0"weight"
1"down her spine"
2"glint"
3"gleaming"
4"velvet"
5"silk"
6"stark"
7"pawn"
8"pristine"
9"charm"
10"calculated"
11"familiar"
12"silence"
13"charged"
14"pulse"
15"sanctuary"
16"firmly"
17"stomach"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches0
maxInWindow0
found(empty)
highlights(empty)
99.23% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells3
narrationSentences97
matches
0"g with fear"
1"was furious"
2"was desperate"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount2
narrationSentences97
filterMatches(empty)
hedgeMatches
0"seemed to"
1"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences114
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen37
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords3
totalWords1446
ratio0.002
matches
0"snick, snick, snick"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions12
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions19
wordCount1209
uniqueNames10
maxNameDensity0.41
worstName"Lucien"
maxWindowNameDensity1.5
worstWindowName"Lucien"
discoveredNames
Ptolemy3
Eva3
Evan1
Moreau1
London1
Mayfair1
Lucien5
Frenchman1
Aurora2
Relief1
persons
0"Ptolemy"
1"Eva"
2"Evan"
3"Moreau"
4"Lucien"
5"Frenchman"
6"Aurora"
places
0"London"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences75
glossingSentenceCount1
matches
0"sounded like accusations—and opened the do"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1446
matches(empty)
49.71% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount4
totalSentences114
matches
0"was that Eva"
1"was that Evan"
2"knew that silhouette"
3"discovering that a"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs33
mean43.82
std30.52
cv0.696
sampleLengths
092
163
279
319
416
550
643
767
820
943
1024
117
1212
1367
1439
1540
1648
1730
1817
1912
2062
2126
2221
2375
2426
2512
2649
2714
2863
296
3076
3183
32145
94.41% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences97
matches
0"was held"
1"were stacked"
2"been barred"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs179
matches
0"was sitting"
42.61% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount1
flaggedSentences4
totalSentences114
ratio0.035
matches
0"She threw the deadbolts—the sharp *snick, snick, snick* sounded like accusations—and opened the door."
1"The left, a warm, unsettling amber; the right, a void of pure black."
2"Lucien was many things—cunning, manipulative, a creature of calculated risk—but he was not needlessly desperate."
3"He had calculated the risks of coming here—the risk to his safety, the risk to the fragile, bitter peace between them."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1221
adjectiveStacks0
stackExamples(empty)
adverbCount35
adverbRatio0.028665028665028666
lyAdverbCount19
lyAdverbRatio0.015561015561015561
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences114
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences114
mean12.68
std8.06
cv0.636
sampleLengths
032
127
210
38
415
517
616
74
812
914
1019
1118
1212
138
1413
159
163
1716
187
197
202
2115
2222
2313
245
259
2625
274
288
2922
3024
3112
321
3314
346
354
3622
375
3812
399
4015
417
4212
436
4436
4525
466
477
4813
4911
38.60% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats21
diversityRatio0.34210526315789475
totalSentences114
uniqueOpeners39
36.63% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences91
matches
0"Then he straightened, and his"
ratio0.011
13.41% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount47
totalSentences91
matches
0"She set the samosa down,"
1"She knew that silhouette."
2"Her heart, which had been"
3"She threw the deadbolts—the sharp"
4"His suit was immaculate, not"
5"His cane, the ivory head"
6"They held a weary sheen"
7"His voice was its usual"
8"She kept her voice cool,"
9"He didn’t look at the"
10"His gaze was entirely on"
11"She wanted to say no."
12"He entered, and the small"
13"He seemed to absorb the"
14"He took it in with"
15"She closed the door but"
16"He didn’t answer immediately."
17"He moved to the only"
18"He gave a short, humourless"
19"He finally met her eyes"
ratio0.516
14.95% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount81
totalSentences91
matches
0"The knock came at half-past"
1"Aurora froze, a half-eaten samosa"
2"The three deadbolts on the"
3"The second was that Eva"
4"The third, a cold trickle"
5"She set the samosa down,"
6"The peephole showed a distorted,"
7"She knew that silhouette."
8"Her heart, which had been"
9"She threw the deadbolts—the sharp"
10"Lucien Moreau stood in the"
11"His suit was immaculate, not"
12"His cane, the ivory head"
13"The left, a warm, unsettling"
14"They held a weary sheen"
15"His voice was its usual"
16"She kept her voice cool,"
17"A defense mechanism honed over"
18"He didn’t look at the"
19"His gaze was entirely on"
ratio0.89
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences91
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences51
technicalSentenceCount2
matches
0"Her heart, which had been thudding with fear, performed a complicated stumble."
1"It was the memory of late-night conversations in four languages, of a hand steadying her elbow in a crowd, of a laugh that was rare and therefore precious."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags11
uselessAdditionCount4
matches
0"She kept, neutral"
1"he said, not looking at her, his attention on the purring cat"
2"she said, her voice rough"
3"she said, not turning around"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount1
fancyTags
0"he conceded (concede)"
dialogueSentences30
tagDensity0.2
leniency0.4
rawRatio0.167
effectiveRatio0.067
76.6646%