Run: 2026-02-19-01KHTRKM54ASD9D2XZNRF7FQEY

Run Details

Duration:
11.0s
Cost:
$0.000602
Provider:
OpenAI

Model input

System
You are an expert fiction writer. Always keep the following rules in mind: - Write in past tense and use General English spelling, grammar, and colloquialisms/slang. - Write in active voice - Always follow the "show, don't tell" principle. - Avoid adverbs and cliches and overused/commonly used phrases. Aim for fresh and original descriptions. - Convey events and story through dialogue. - Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. - Skip "he/she said said" dialogue tags and convey people's actions or face expressions through their speech - Avoid mushy dialog and descriptions, have dialogue always continue the action, never stall or add unnecessary fluff. Vary the descriptions to not repeat yourself. - Put dialogue on its own paragraph to separate scene and action. - Reduce indicators of uncertainty like "trying" or "maybe" When writing text: - NEVER conclude the scene on your own, follow the beat instructions very closely. - NEVER end with foreshadowing. - NEVER write further than what I prompt you with. - AVOID imagining possible endings, NEVER deviate from the instructions. - STOP EARLY if the continuation contains what was required in the instructions. You do not need to fill out the full amount of words possible.
User/Human
Take into account the following glossary of characters/locations/items/lore... when writing your response: <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> Continue the story using the following instructions: <instructions> 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. </instructions>

Model response

AI
Aurora Carter stood in the shadowy doorway of Eva’s flat, fingers tracing the cool metal of the doorknob. She hadn’t expected anyone tonight, least of all him. The dim hallway spilled faint golden light from the cluttered living room, casting flickering shapes on the cracked plaster walls. The faint hum of distant traffic mixed with the steady purring of Ptolemy, the tabby curled atop a mountain of books just inside. The weight of anticipation pressed into her chest. She didn’t know what she’d find—him, Lucien, standing there, limbs tense, or perhaps gone. Still, she hadn’t anticipated the way her pulse quickened as she opened the door wider. The scent of leather and something darker seeped into her nostrils—cigarettes, maybe, or something sharper. Lucien’s figure loomed just inside, perfectly still. He was the sort of man who appeared as if he’d been carved from midnight and moonlight, chances from Marseille etched into every movement. His platinum hair slicked back, sharp suit pristine despite the chaos outside. Eyes—heterochromatic, one amber, one black—locked onto her with unwavering intensity. Time seemed to stretch. Neither spoke. Aurora’s lips pressed together, bracing herself. She kept her stance neutral, hands not trembling despite her pounding heart. He stepped forward, cane murmuring softly against the floor. The ivory handle gleamed. He studied her with that quiet, calculating gaze that always made her feel like he saw past the surface. “You’re surprised,” he said, voice smooth, almost too calm. She folded her arms. “Yeah, no kidding.” Her voice came out rougher than she wanted. “What are you doing here?” “Got a message,” Lucien murmured, voice low. “From an old friend.” That set her back a step. She eyed him, wary. “Is that so? Thought you had your own business.” He shrugged, subtly shifting his weight. “Sometimes, surfaces deceive. You know how it is—London’s a city of whispers, full of secrets. And I hear things.” Her gaze sharpened. “Yeah, well, I don’t have time for riddles.” He chuckled softly, the smile fleeting. “Neither do I. That’s why I don’t bother with empty courtesies.” He stepped closer, cane in hand. “I needed to see you. Face-to-face.” She stiffened. Memories flickered—pain, anger, things she’d buried months ago. “Why now?” she asked, voice husky. Lucien’s gaze softened for a flicker, then snapped back into place. “Because I’ve got something you want—information. And you’ve got something I need. It’s only fair we talk.” “Fair?” Aurora echoed, challenging. “This sounds like one of your games.” He leaned slightly forward. “It’s complicated. But I know what I’m doing. I wouldn’t have come here otherwise.” She considered him, wary but undeniably drawn in. His presence still tugged at something buried deep inside her—a spark she had thought extinguished. For a moment, she wondered if she should shut the door. Walk away. But part of her, the stubborn part, stayed rooted in place. “Fine,” she said finally, voice quiet but firm. “Come in.” Lucien’s eyes flickered with approval as he stepped past her. His cane tapped softly as he moved deeper into the cramped flat, scanning the chaos of papers, scrolls, and books piled high around them. “Nice place,” he said, voice edged with irony. She shot him a look. “It’s not a palace. You should know that.” He smirked, perching his hand on his cane. “No, but the chaos suits you.” Ptolemy lifted his head at the sound of voices, both eyes narrowing at Lucien before he stretched and yawned loudly. Aurora crossed her arms again. “So, what’s this about?” Lucien reached into his coat, pulled out a small leather-bound notebook, and held it out. “This. It’s what I came for.” She hesitated, then took it. Her fingers brushed his briefly—an electric, fleeting contact she refused to dwell on. “What’s inside?” she asked. He gave a tight smile. “The truth. About what you’re after—and what I’m risking to tell you.” A flicker of something in her belly—a reminder of what they’d once been—made her voice softer. “I don’t trust easily, Lucien. You know that.” He nodded. “Good. That’s why this matters.” She thumbed the edge of the notebook, studying his face. Beneath the veneer of calm, she saw the weight of old secrets. “If you’ve got info, then spill it.” Lucien’s gaze lingered, briefly more tender than he intended. Then he looked away, voice gritty. “There’s a creature, something dark, stirring in the shadows. It’ll ripple through the underworld and beyond if it gets loose. And I think you’re the only one who can stop it.” She blinked, steadying herself. The words hit her like a punch. “And what do you want from me?” “Help,” he said simply. “Or watch everything fall apart.” She stared at the notebook again, then back at him. “You always did have a flair for dramatic entrances.” He allowed himself a small, rare smile. “Now you’re beginning to see why I came.” A silence settled between them, thick with unspoken words and history. Aurora looked at him—this man who’d once been her anchor and her storm—wondering if she’d just walked back into a nightmare, or if she’d found something worth fighting for again. Outside, the city hummed on. Inside, their fractured world realigned, teetering on the edge of something dangerous.
created_at"2026-02-19T10:54:52.072Z" 2/19/2026, 10:54:52 AM
model"openai/gpt-4.1-nano-2025-04-14"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency429
moderation_latency(null)
generation_time10837
tokens_prompt1034
tokens_completion1502
native_tokens_prompt928
native_tokens_completion1272
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"
usage0.0006016
router(null)
provider_responses
0
endpoint_id"9251cee5-5503-4be9-9439-7ae21ff062a3"
id"resp_0006e8a523cad9dc016996ebfc277081968054e9e7dcafcc56"
is_byokfalse
latency129
model_permaslug"openai/gpt-4.1-nano-2025-04-14"
provider_name"OpenAI"
status200
api_type"completions"
id"gen-1771498492-uEBd03RtGHuDI7D2Pb3T"
upstream_id"resp_0006e8a523cad9dc016996ebfc277081968054e9e7dcafcc56"
total_cost0.0006016
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
78.79% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags10
adverbTagCount2
adverbTags
0"she said finally [finally]"
1"he said simply [simply]"
dialogueSentences33
tagDensity0.303
leniency0.606
rawRatio0.2
effectiveRatio0.121
71.75% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount885
totalAiIsmAdverbs5
found
0
adverb"perfectly"
count1
1
adverb"softly"
count3
2
adverb"slightly"
count1
highlights
0"perfectly"
1"softly"
2"slightly"
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)
0.00% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount885
totalAiIsms27
found
0
word"tracing"
count1
1
word"weight"
count3
2
word"anticipation"
count1
3
word"pulse"
count1
4
word"quickened"
count1
5
word"loomed"
count1
6
word"etched"
count1
7
word"pristine"
count1
8
word"unwavering"
count1
9
word"intensity"
count1
10
word"pounding"
count1
11
word"calculating"
count1
12
word"fleeting"
count2
13
word"flickered"
count2
14
word"flicker"
count2
15
word"echoed"
count1
16
word"scanning"
count1
17
word"electric"
count1
18
word"reminder"
count1
19
word"silence"
count1
20
word"unspoken"
count1
21
word"fractured"
count1
highlights
0"tracing"
1"weight"
2"anticipation"
3"pulse"
4"quickened"
5"loomed"
6"etched"
7"pristine"
8"unwavering"
9"intensity"
10"pounding"
11"calculating"
12"fleeting"
13"flickered"
14"flicker"
15"echoed"
16"scanning"
17"electric"
18"reminder"
19"silence"
20"unspoken"
21"fractured"
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
narrationSentences68
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences68
filterMatches
0"feel"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences91
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen32
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords868
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions10
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions18
wordCount633
uniqueNames6
maxNameDensity1.26
worstName"Lucien"
maxWindowNameDensity2.5
worstWindowName"Lucien"
discoveredNames
Carter1
Eva1
Ptolemy2
Lucien8
Marseille1
Aurora5
persons
0"Carter"
1"Eva"
2"Ptolemy"
3"Lucien"
4"Aurora"
places
0"Marseille"
globalScore0.868
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences47
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount868
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences91
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs45
mean19.29
std14.15
cv0.733
sampleLengths
070
152
253
36
418
532
69
74
816
911
1019
1125
1211
1329
1410
156
1628
1711
1818
1923
2024
2110
2234
238
2413
2514
2620
279
2821
2918
304
3117
3216
338
347
3522
367
3746
3811
397
409
4119
4215
4341
4417
94.94% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences68
matches
0"been carved"
1"been—made"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs129
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount11
semicolonCount0
flaggedSentences8
totalSentences91
ratio0.088
matches
0"She didn’t know what she’d find—him, Lucien, standing there, limbs tense, or perhaps gone."
1"The scent of leather and something darker seeped into her nostrils—cigarettes, maybe, or something sharper."
2"Eyes—heterochromatic, one amber, one black—locked onto her with unwavering intensity."
3"Memories flickered—pain, anger, things she’d buried months ago."
4"His presence still tugged at something buried deep inside her—a spark she had thought extinguished."
5"Her fingers brushed his briefly—an electric, fleeting contact she refused to dwell on."
6"A flicker of something in her belly—a reminder of what they’d once been—made her voice softer."
7"Aurora looked at him—this man who’d once been her anchor and her storm—wondering if she’d just walked back into a nightmare, or if she’d found something worth fighting for again."
77.32% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount645
adjectiveStacks1
stackExamples
0"small leather-bound notebook,"
adverbCount38
adverbRatio0.05891472868217054
lyAdverbCount13
lyAdverbRatio0.020155038759689922
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences91
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences91
mean9.54
std6.05
cv0.634
sampleLengths
018
19
220
323
48
514
615
715
87
924
1012
1110
124
132
146
1512
169
174
1819
199
204
2111
225
237
244
256
264
279
286
2919
303
318
326
3317
346
352
368
376
3811
3917
404
417
424
4314
448
4515
4611
472
4811
498
83.88% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.5164835164835165
totalSentences91
uniqueOpeners47
52.91% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences63
matches
0"Then he looked away, voice"
ratio0.016
16.83% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount32
totalSentences63
matches
0"She hadn’t expected anyone tonight,"
1"She didn’t know what she’d"
2"He was the sort of"
3"His platinum hair slicked back,"
4"She kept her stance neutral,"
5"He stepped forward, cane murmuring"
6"He studied her with that"
7"he said, voice smooth, almost"
8"She folded her arms."
9"Her voice came out rougher"
10"She eyed him, wary."
11"He shrugged, subtly shifting his"
12"Her gaze sharpened."
13"He chuckled softly, the smile"
14"He stepped closer, cane in"
15"she asked, voice husky"
16"He leaned slightly forward."
17"She considered him, wary but"
18"His presence still tugged at"
19"she said finally, voice quiet"
ratio0.508
23.49% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount55
totalSentences63
matches
0"Aurora Carter stood in the"
1"She hadn’t expected anyone tonight,"
2"The dim hallway spilled faint"
3"The faint hum of distant"
4"The weight of anticipation pressed"
5"She didn’t know what she’d"
6"The scent of leather and"
7"Lucien’s figure loomed just inside,"
8"He was the sort of"
9"His platinum hair slicked back,"
10"Time seemed to stretch."
11"Aurora’s lips pressed together, bracing"
12"She kept her stance neutral,"
13"He stepped forward, cane murmuring"
14"The ivory handle gleamed."
15"He studied her with that"
16"he said, voice smooth, almost"
17"She folded her arms."
18"Her voice came out rougher"
19"Lucien murmured, voice low"
ratio0.873
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences63
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences27
technicalSentenceCount1
matches
0"Aurora looked at him—this man who’d once been her anchor and her storm—wondering if she’d just walked back into a nightmare, or if she’d found something worth f…"
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags10
uselessAdditionCount5
matches
0"Lucien murmured, voice low"
1"she asked, voice husky"
2"Aurora echoed, challenging"
3"she said finally, voice quiet but firm"
4"he said, voice edged with irony"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags7
fancyCount1
fancyTags
0"Lucien murmured (murmur)"
dialogueSentences33
tagDensity0.212
leniency0.424
rawRatio0.143
effectiveRatio0.061
76.1082%