Run: 2026-02-19-01KHT056M9KTJ48JQMKTFN7X11

Run Details

Duration:
23.6s
Cost:
$0.000647
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 front door of Eva’s flat swung open with a squeak, the hinges protesting the sudden intrusion. Aurora, hands full with a large takeout bag from the Golden Empress, almost dropped her load as she saw Lucien standing in the threshold. His presence, as ever, was a jarring blend of elegance and menace. His slicked-back platinum blond hair glistened under the dim hallway light, and his heterochromatic eyes—amber and black—seemed to burn with an otherworldly intensity. "Lucien," Aurora muttered, the word a mix of surprise and irritation. She shifted the takeout bag to one hand and fumbled for her keys, already feeling the familiar pull of the past tugging at her emotions. "Rory," he greeted, his voice smooth as silk. "I didn't expect you to be here." "Neither did I expect to see you," she retorted, unlocking the door and stepping aside to let him in. "What do you want?" The flat, already cluttered with Eva’s endless collection of books and scrolls, seemed to shrink even more with Lucien’s presence. The tabby cat, Ptolemy, meowed from the corner, eyeing Lucien warily. "I need your help," he said, his tone serious. "It's urgent." Aurora raised an eyebrow, setting the takeout bag on the table. "I’m not your errand girl, Lucien. I’ve got a life here." He took a step closer, and the air around him seemed to crackle with tension. "This isn’t just about me. It’s about the city. The balance is tipping, and we both know what that means." Rory sighed, running a hand through her straight, shoulder-length black hair. "And what, exactly, am I supposed to do about it?" "You’re clever, Rory. You always have been. I need you to think, to find a way to stabilize the situation before it spirals out of control." She crossed her arms, her bright blue eyes narrowing. "You could’ve called. Or texted. Instead, you show up unannounced in my friend’s flat. That’s not exactly a vote of confidence." Lucien’s lips twisted into a wry smile. "I wouldn’t have come if it weren’t important. You know that." Aurora felt a familiar heat rising in her chest. She couldn’t deny the old attraction, the lingering sparks between them, but the hurt and unresolved tension made it difficult to ignore. "I know," she admitted, her voice softening. "But that doesn’t mean I have to like it." He extended his hand, his eyes locking onto hers. "Please, Rory. We don’t have much time." She hesitated, her gaze flicking to the takeout bag. "Fine. But you owe me dinner. Yu-Fei’s is the best around." Lucien’s smile broadened, a rare show of genuine warmth. "Deal." They settled into an uneasy silence as Aurora opened the takeout bag and began arranging the containers on the table. The steam from the food filled the air, mingling with the faint scent of curry from the restaurant below. Lucien watched her, his expression unreadable. "This all started a few days ago," he began, his tone measured. "There’s been a series of… incidents. Unexplained deaths, strange phenomena, things that shouldn’t be possible." Aurora’s eyes widened. "Like what?" "Like a man spontaneously combusting on the Underground, or a car floating in the air for no reason. The city is teetering on the edge, and the demons are getting restless." Aurora’s hand froze in mid-air, her thoughts racing. "And you think I can do something about it?" "More than anyone else, yes. You have a unique perspective, a connection to the supernatural that most people don’t. You can see the patterns, the connections." She sighed, setting down the container. "I’ll do what I can, but I’m not a superhero, Lucien. I’m just a delivery girl." "You’re more than that, and you know it," he insisted. "We’ve both been down this road before. We can’t afford to let our past get in the way of the present." Aurora’s gaze dropped to her hands, her fingers tracing the edge of the table. She remembered the last time they were in this position, the promises and the betrayals, the hurt that still lingered. "I know," she whispered. "I just… I need a bit of time to think." Lucien nodded, his expression softening. "Take all the time you need. But remember, the clock is ticking." She looked up, meeting his eyes. "I’ll do what I can, but I need you to promise me one thing." "Anything." "No more secrets. No more lies. We work together, but we do it with trust." His heterochromatic eyes held hers, and for a moment, she saw something there—something raw and honest. "I promise." Aurora nodded, a small smile tugging at her lips. "Then let’s get to work." They spent the next few hours poring over the research notes scattered across the table, their hands brushing against each other more than once. The tension between them was palpable, but for the first time in a long while, it felt manageable. As the night wore on, the city outside grew quiet, but inside the flat, the conversation flowed more easily. Aurora leaned back, rubbing her temples. "This is a lot to take in. Do you have any leads on what’s causing all this?" Lucien leaned forward, his eyes intense. "I have a few theories, but nothing concrete. That’s where you come in. You’re the one who can piece this together." She met his gaze, a sense of purpose settling in her chest. "Alright. Let’s figure this out." Lucien’s smile was genuine this time, a rare moment of vulnerability. "Thank you, Rory. I owe you." Aurora chuckled, a lightness in her voice she hadn’t felt in a long time. "Just dinner. And maybe a bit of closure." He raised an eyebrow, a playful glint in his eye. "I can handle that." The room was filled with a tentative sense of optimism, the weight of the past beginning to lift. Aurora knew the road ahead would be fraught with challenges, but for the first time, she felt confident they could face them together.
created_at"2026-02-19T03:47:33.65Z" 2/19/2026, 3:47:33 AM
model"qwen/qwen-2.5-72b-instruct"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency132
moderation_latency(null)
generation_time23489
tokens_prompt1056
tokens_completion1535
native_tokens_prompt954
native_tokens_completion1365
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"
usage0.00064683
router(null)
provider_responses
0
endpoint_id"8b6b26e9-621a-4b31-b55a-c9aaa7482ede"
id"cmpl-479d2c5b653f4ce18a86fe97bf835a1a"
is_byokfalse
latency48
model_permaslug"qwen/qwen-2.5-72b-instruct"
provider_name"DeepInfra"
status200
api_type"completions"
id"gen-1771472853-zTESwuGCx2FaqcCIkbdL"
upstream_id"cmpl-479d2c5b653f4ce18a86fe97bf835a1a"
total_cost0.00064683
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
totalTags8
adverbTagCount0
adverbTags(empty)
dialogueSentences41
tagDensity0.195
leniency0.39
rawRatio0
effectiveRatio0
95.01% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1003
totalAiIsmAdverbs1
found
0
adverb"warily"
count1
highlights
0"warily"
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)
wordCount1003
totalAiIsms21
found
0
word"otherworldly"
count1
1
word"intensity"
count1
2
word"familiar"
count2
3
word"silk"
count1
4
word"eyebrow"
count2
5
word"tension"
count3
6
word"warmth"
count1
7
word"silence"
count1
8
word"unreadable"
count1
9
word"measured"
count1
10
word"racing"
count1
11
word"tracing"
count1
12
word"palpable"
count1
13
word"sense of"
count2
14
word"glint"
count1
15
word"weight"
count1
highlights
0"otherworldly"
1"intensity"
2"familiar"
3"silk"
4"eyebrow"
5"tension"
6"warmth"
7"silence"
8"unreadable"
9"measured"
10"racing"
11"tracing"
12"palpable"
13"sense of"
14"glint"
15"weight"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes widened"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences48
matches(empty)
53.57% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount3
narrationSentences48
filterMatches(empty)
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences81
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen31
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords996
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions12
unquotedAttributions0
matches(empty)
47.26% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions26
wordCount584
uniqueNames6
maxNameDensity2.05
worstName"Aurora"
maxWindowNameDensity3
worstWindowName"Aurora"
discoveredNames
Eva2
Golden1
Empress1
Lucien9
Ptolemy1
Aurora12
persons
0"Eva"
1"Empress"
2"Lucien"
3"Ptolemy"
4"Aurora"
places
0"Golden"
globalScore0.473
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences41
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount996
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences81
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs39
mean25.54
std14.58
cv0.571
sampleLengths
076
136
215
323
431
511
622
735
821
926
1030
1118
1247
1316
1420
1510
1645
1727
185
1931
2017
2126
2222
2331
2448
2517
2620
271
2815
2918
3014
3161
3223
3327
3417
3517
3622
3714
3841
97.95% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences48
matches
0"was filled"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs100
matches(empty)
72.31% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount3
semicolonCount0
flaggedSentences2
totalSentences81
ratio0.025
matches
0"His slicked-back platinum blond hair glistened under the dim hallway light, and his heterochromatic eyes—amber and black—seemed to burn with an otherworldly intensity."
1"His heterochromatic eyes held hers, and for a moment, she saw something there—something raw and honest."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount590
adjectiveStacks0
stackExamples(empty)
adverbCount16
adverbRatio0.02711864406779661
lyAdverbCount3
lyAdverbRatio0.005084745762711864
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences81
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences81
mean12.3
std6.86
cv0.558
sampleLengths
017
124
212
323
411
525
68
77
819
94
1020
1111
129
132
1411
1511
1615
1720
1811
1910
2026
219
2221
237
2411
259
2622
277
289
299
307
319
3211
339
341
3520
3619
376
3812
3915
403
412
4231
438
449
4526
466
4716
4810
4921
58.85% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.38271604938271603
totalSentences81
uniqueOpeners31
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences46
matches(empty)
ratio0
37.39% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount21
totalSentences46
matches
0"His presence, as ever, was"
1"His slicked-back platinum blond hair"
2"She shifted the takeout bag"
3"he greeted, his voice smooth"
4"she retorted, unlocking the door"
5"he said, his tone serious"
6"He took a step closer,"
7"She crossed her arms, her"
8"She couldn’t deny the old"
9"she admitted, her voice softening"
10"He extended his hand, his"
11"She hesitated, her gaze flicking"
12"They settled into an uneasy"
13"he began, his tone measured"
14"She sighed, setting down the"
15"She remembered the last time"
16"She looked up, meeting his"
17"His heterochromatic eyes held hers,"
18"They spent the next few"
19"She met his gaze, a"
ratio0.457
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount45
totalSentences46
matches
0"The front door of Eva’s"
1"Aurora, hands full with a"
2"His presence, as ever, was"
3"His slicked-back platinum blond hair"
4"Aurora muttered, the word a"
5"She shifted the takeout bag"
6"he greeted, his voice smooth"
7"she retorted, unlocking the door"
8"The flat, already cluttered with"
9"The tabby cat, Ptolemy, meowed"
10"he said, his tone serious"
11"Aurora raised an eyebrow, setting"
12"He took a step closer,"
13"Rory sighed, running a hand"
14"She crossed her arms, her"
15"Lucien’s lips twisted into a"
16"Aurora felt a familiar heat"
17"She couldn’t deny the old"
18"she admitted, her voice softening"
19"He extended his hand, his"
ratio0.978
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences46
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences25
technicalSentenceCount1
matches
0"They spent the next few hours poring over the research notes scattered across the table, their hands brushing against each other more than once."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags8
uselessAdditionCount5
matches
0"Aurora muttered, the word a mix of surprise and irritation"
1"he greeted, his voice smooth as silk"
2"he said, his tone serious"
3"she admitted, her voice softening"
4"he began, his tone measured"
28.05% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount5
fancyTags
0"Aurora muttered (mutter)"
1"she retorted (retort)"
2"she admitted (admit)"
3"he insisted (insist)"
4"she whispered (whisper)"
dialogueSentences41
tagDensity0.146
leniency0.293
rawRatio0.833
effectiveRatio0.244
73.0133%