Run: 2026-02-19-01KHT0S48P4SYXNBQM5AD49W20

Run Details

Duration:
1m 1s
Cost:
$0.001495
Provider:
DeepInfra

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
The knock came sharp and quick, echoing through the cramped flat. Rory froze, her hand hovering over the steaming cup of tea she’d just poured. Ptolemy, sprawled on the windowsill, flicked an ear but didn’t bother to look. Another knock, more insistent this time. She exhaled, running a hand through her hair as she crossed the room. “Eva, I swear if you’ve forgotten your keys again—” She yanked the door open, the words dying on her lips. Lucien stood in the hallway, his tailored charcoal suit impeccably pressed, one hand resting on the ivory handle of his cane. His heterochromatic eyes met hers—amber and black, unreadable as ever. “Hello, Rory.” Her heart skipped a beat, then hammered against her ribs. She hadn’t seen him in months, not since the argument in the rain outside Silas’ bar. Not since he’d walked away without looking back. She gripped the edge of the door, her knuckles turning white. “What are you doing here?” A faint smile played on his lips, but it didn’t reach his eyes. “May I come in?” She hesitated, her mind racing. The last time they’d spoken, the words had been sharp enough to draw blood. But he was here now, standing in her doorway like no time had passed at all. She stepped aside, letting him in. He moved past her with practiced ease, his cane tapping softly against the wooden floor. His gaze swept over the cluttered flat—the stacks of books, the scrolls unfurled across the table, the cat lounging in the patch of sunlight. “Cosy,” he remarked, though his tone gave nothing away. She closed the door, the click of the lock loud in the silence. “Cut the small talk, Luc. Why are you here?” He turned to face her, leaning slightly on his cane. “I need your help.” Her laugh was sharp, brittle. “My help? You’ve got some nerve, showing up here after everything.” “I know.” His voice was soft, apologetic. “But this is important.” She folded her arms, her crescent-shaped scar catching the light. “Important enough to drag yourself back into my life? Because last I checked, you were done with me.” His jaw tightened, a flicker of something—regret, maybe—crossing his face. “I was angry. I said things I didn’t mean.” “You meant them.” Her voice wavered, betraying the hurt she’d tried so hard to bury. “You walked away.” He stepped closer, the scent of his cologne—something dark and smoky—washing over her. “I shouldn’t have.” Her breath hitched. He was too close, his presence too familiar. She could see the faint stubble along his jaw, the amber in his eye catching the light. “Why now?” she whispered. “Because I can’t do this without you.” His hand brushed hers, tentative, almost hesitant. “I tried. I thought I could handle it alone. But I need you, Rory.” She looked away, her chest tightening. “You don’t get to say that. Not after everything.” He cupped her cheek, his touch warm against her skin. “I’m sorry.” Her eyes burned, tears threatening to spill. “Sorry doesn’t fix it.” “I know.” He leaned in, his forehead resting against hers. “But let me try.” Her resolve crumbled, the walls she’d built around her heart cracking under the weight of his words. She gripped his lapel, pulling him closer. “You’d better mean it this time.” His lips captured hers in a kiss that was equal parts desperation and promise. It was familiar yet new, a reminder of everything they’d lost and everything they could still have. Her fingers tangled in his hair, his cane clattering to the floor as he pulled her flush against him. Ptolemy let out a disgruntled meow, leaping off the windowsill and stalking away. They broke apart, both breathing heavily. “This doesn’t mean I’ve forgiven you,” she murmured, though her hands were still tangled in his shirt. He brushed a strand of hair from her face, his thumb lingering on her cheek. “I’ll earn it.” She smiled faintly, despite herself. “Good.” He kissed her again, slower this time, as if savoring the moment. When they parted, he pressed his forehead to hers. “Thank you.” She laughed softly, shaking her head. “You’re lucky I still like you, Luc.” His lips curved into a genuine smile. “Luckiest man alive.” She rolled her eyes, stepping back to retrieve his cane from the floor. “Don’t push your luck. Now, tell me why you’re really here.” He took the cane from her, leaning on it slightly. “There’s something happening in the city—something big. I need your mind, your thinking. You always see things I don’t.” She raised an eyebrow. “Flattery will get you everywhere. Details?” He hesitated, his expression sobering. “Not here. Somewhere more secure.” She nodded, understanding the unspoken warning. “Let me grab my coat.” As she turned to fetch her jacket, he caught her wrist, his thumb brushing over her scar. “Rory.” She looked back at him, his gaze intense. “I missed you,” he admitted softly. Her heart clenched. “I missed you too.” He let go, and she finished gathering her things, her mind already racing with questions. Whatever he was involved in, it was serious—serious enough to bring him back to her. They stepped out into the hallway, the door locking behind them. “Where are we going?” she asked as they descended the stairs. “Somewhere quiet. We need to talk.” She nodded, falling into step beside him. The streets of London were alive with the hum of evening traffic, the air thick with the scent of curry from the restaurant below. She glanced at him, his profile sharp against the fading light. “Don’t disappear on me again,” she said quietly. He looked at her, his amber eye catching the light. “I won’t.” She believed him.
created_at"2026-02-19T03:58:26.59Z" 2/19/2026, 3:58:26 AM
model"deepseek/deepseek-chat-v3"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency386
moderation_latency(null)
generation_time61326
tokens_prompt1034
tokens_completion1565
native_tokens_prompt938
native_tokens_completion1343
native_tokens_completion_images(null)
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"stop"
usage0.00149543
router(null)
provider_responses
0
endpoint_id"5294d55f-9012-496b-8f22-8cc919432dcd"
id"chatcmpl-RexbqRRVWUtvBwInn54oaMSM"
is_byokfalse
latency88
model_permaslug"deepseek/deepseek-chat-v3"
provider_name"DeepInfra"
status200
api_type"completions"
id"gen-1771473506-FDHR4mDNSsLWnd7EKmMn"
upstream_id"chatcmpl-RexbqRRVWUtvBwInn54oaMSM"
total_cost0.00149543
cache_discount(null)
upstream_inference_cost0
provider_name"DeepInfra"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags11
adverbTagCount2
adverbTags
0"he admitted softly [softly]"
1"she said quietly [quietly]"
dialogueSentences42
tagDensity0.262
leniency0.524
rawRatio0.182
effectiveRatio0.095
68.85% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount963
totalAiIsmAdverbs6
found
0
adverb"softly"
count3
1
adverb"slightly"
count2
2
adverb"really"
count1
highlights
0"softly"
1"slightly"
2"really"
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)
11.73% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount963
totalAiIsms17
found
0
word"echoing"
count1
1
word"flicked"
count1
2
word"unreadable"
count1
3
word"skipped a beat"
count1
4
word"racing"
count2
5
word"practiced ease"
count1
6
word"silence"
count1
7
word"flicker"
count1
8
word"wavered"
count1
9
word"familiar"
count2
10
word"resolve"
count1
11
word"weight"
count1
12
word"reminder"
count1
13
word"eyebrow"
count1
14
word"unspoken"
count1
highlights
0"echoing"
1"flicked"
2"unreadable"
3"skipped a beat"
4"racing"
5"practiced ease"
6"silence"
7"flicker"
8"wavered"
9"familiar"
10"resolve"
11"weight"
12"reminder"
13"eyebrow"
14"unspoken"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"weight of words/silence"
count1
highlights
0"the weight of his words"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences70
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences70
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences101
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen25
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords954
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions10
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions2
wordCount722
uniqueNames2
maxNameDensity0.14
worstName"Lucien"
maxWindowNameDensity0
worstWindowName(null)
discoveredNames
Lucien1
London1
persons
0"Lucien"
places
0"London"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences58
glossingSentenceCount1
matches
0"as if savoring the moment"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount954
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences101
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs50
mean19.08
std12.39
cv0.649
sampleLengths
044
133
233
350
417
541
648
722
814
916
1011
1128
1219
1318
1416
1528
164
1728
1815
1912
2011
2114
2230
2350
2413
256
2617
2718
286
2923
3013
3110
3224
3329
3410
3510
3611
3718
388
396
407
4130
4211
4311
446
457
4635
478
4812
493
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences70
matches
0"was involved"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs139
matches(empty)
1.41% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount7
semicolonCount0
flaggedSentences5
totalSentences101
ratio0.05
matches
0"His heterochromatic eyes met hers—amber and black, unreadable as ever."
1"His gaze swept over the cluttered flat—the stacks of books, the scrolls unfurled across the table, the cat lounging in the patch of sunlight."
2"His jaw tightened, a flicker of something—regret, maybe—crossing his face."
3"He stepped closer, the scent of his cologne—something dark and smoky—washing over her."
4"Whatever he was involved in, it was serious—serious enough to bring him back to her."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount268
adjectiveStacks0
stackExamples(empty)
adverbCount10
adverbRatio0.03731343283582089
lyAdverbCount2
lyAdverbRatio0.007462686567164179
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences101
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences101
mean9.45
std5.32
cv0.564
sampleLengths
011
114
213
36
413
520
621
710
82
910
1016
118
1211
135
1413
154
165
1714
1816
196
2015
2124
229
2313
249
2510
264
275
2811
297
304
3110
3218
3310
349
3515
363
3713
383
393
408
4117
424
4314
4414
456
469
4710
482
497
65.02% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats1
diversityRatio0.39603960396039606
totalSentences101
uniqueOpeners40
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences69
matches(empty)
ratio0
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount55
totalSentences69
matches
0"She exhaled, running a hand"
1"She yanked the door open,"
2"His heterochromatic eyes met hers—amber"
3"Her heart skipped a beat,"
4"She hadn’t seen him in"
5"She gripped the edge of"
6"She hesitated, her mind racing."
7"She stepped aside, letting him"
8"He moved past her with"
9"His gaze swept over the"
10"he remarked, though his tone"
11"She closed the door, the"
12"He turned to face her,"
13"Her laugh was sharp, brittle."
14"His voice was soft, apologetic"
15"She folded her arms, her"
16"His jaw tightened, a flicker"
17"Her voice wavered, betraying the"
18"He stepped closer, the scent"
19"Her breath hitched."
ratio0.797
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount65
totalSentences69
matches
0"The knock came sharp and"
1"Rory froze, her hand hovering"
2"Ptolemy, sprawled on the windowsill,"
3"Another knock, more insistent this"
4"She exhaled, running a hand"
5"She yanked the door open,"
6"Lucien stood in the hallway,"
7"His heterochromatic eyes met hers—amber"
8"Her heart skipped a beat,"
9"She hadn’t seen him in"
10"She gripped the edge of"
11"A faint smile played on"
12"She hesitated, her mind racing."
13"The last time they’d spoken,"
14"She stepped aside, letting him"
15"He moved past her with"
16"His gaze swept over the"
17"he remarked, though his tone"
18"She closed the door, the"
19"He turned to face her,"
ratio0.942
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences69
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences36
technicalSentenceCount1
matches
0"His lips captured hers in a kiss that was equal parts desperation and promise."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags11
uselessAdditionCount4
matches
0"She yanked, the words dying on her lips"
1"he remarked, though his tone gave nothing away"
2"He leaned in, his forehead resting against hers"
3"she murmured, though her hands were still tangled in his shirt"
78.57% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount3
fancyTags
0"she whispered (whisper)"
1"she murmured (murmur)"
2"he admitted softly (admit)"
dialogueSentences42
tagDensity0.119
leniency0.238
rawRatio0.6
effectiveRatio0.143
74.1861%