Run: 2026-03-25-01KMJ7QRFT9RW4W71T7PKYN4AH

Run Details

Duration:
36.9s
Cost:
$0.000776
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 door to the flat creaked as Aurora fumbled with her key, the scent of cumin and ginger from the curry house below clinging to her clothes. She’d just dropped off a late delivery at the Golden Empress and the ache in her feet made the narrow staircase up to Brick Lane feel endless. The three deadbolts clicked open with a muffled clatter, and she stepped inside, muttering a curse as she bumped her hip against the doorframe. A knock followed immediately. She froze. The flat was a warren of stacked books and loose papers, every surface colonized by Eva’s obsessive research. There was no guest—just Ptolemy lounging on the windowsill, tail flicking like a metronome. Aurora crossed the room, her reflection in the warped peephole making her wince. Her black hair hung limp, and the dim corridor light cast her crescent scar in shadow. She opened the door. The scent of sandalwood and something sharper hit her first—smoke, maybe, or blood. Lucien Moreau stood in the hall, one boot propped against the base of the door, his suit pristine despite the uneven streetlights staining the pavement gray. He looked her up and down, the way he’d used to when they’d gone undercover in Paris, and she felt like she’d been tapped over the head with a teacup. “Well,” he said. “You got slower.” The cat meowed from the window, a note of warning in the sound. Aurora crossed her arms, feeling the habit of distrust settle like a second skin. “If I let you in, do I get a reason or just more riddles, Luc?” His smirk didn’t reach his eyes—the amber one glinted, but the black one stayed flat, unreadable. He tapped the head of his cane against the doorframe. “I hear you’ve been asking questions about Evan.” Ice slithered down her spine. The name sliced through the cluttered room behind her, knocking over Eva’s notes, spilling the names of dead ends and half-truths. She swallowed. “I don’t know what you’re talking about.” He stepped inside anyway, the cane sweeping past her hip like a metronome’s arm. “You know exactly what I mean. You think I haven’t checked the records? Domestic violence reports, restraining orders—charming, really. A barrister’s son, breaking fingers in aFlat on Brick Lane.” Aurora slammed the door shut behind him. “He’s dead, Lucien. You think I’d still be asking questions if he wasn’t?” His laugh had a brittle edge. “And yet here you are. Cardboard boxes full of *Divination for Beginners*, I imagine. Clueless owls in bow ties giving you data on ghosts.” He flicked his fingers at the mess on the kitchen table, the stack of books with Eva’s frantic annotations in the margins. “Perhaps you should let people who understand a bit more handle this.” She moved to block him, shoulders squared, the old argument rising between them like a phantom. He’d always been like this—too sure, too far above the rules, always brushing against the danger she’d been trained to avoid. “I don’t need a fixer with a death wish,” she snapped. “I need someone who can tell me what really happened the last time you got in over your head.” The silence stretched. Somewhere in the room, Ptolemy hissed. Lucien’s face shuttered. “You’re still angry about Marseille,” he said quietly. “Angry?” Aurora mimicked, her voice cold. “You left me on a street corner while an Obsidian Circle enforcer fired three rounds into the air. Anger doesn’t begin to cover it.” He took a step closer, the cane forgotten beside him. Moonlight seeped through the grimy windowpanes, catching the crescent scar on her wrist. For a moment, she thought he’d reach for it. “You were supposed to be safe,” he said. “Do you think I wanted to drag you into this?” “Too late for that.” She gestured at the room, at the trinkets Eva had bought from market stalls, the half-verified theories. “You think I believed the story about a ‘contract dispute’?” His jaw tightened, the demon blood in his veins making his pulse visible beneath his skin like a silver thread. “What if he didn’t kill himself? What if it wasn’t a suicide?” Aurora stiffened. The police report had been clean, the coroner’s findings unremarkable, but she’d seen the way the left side of Evan’s neck had healed—too fast, too smooth. It wasn’t something a human body did. Lucien watched her reaction, the smirk returning, slower now. “You saw it, didn’t you? The mark. He was being hunted.” She reached for the door. “I don’t have time for your theories, Lucien. I’m not your—” “Clever girl,” he interrupted, “but you’re standing in the same storm as me now. That mark on your ex? It’s from a weapon made by the same guild that tried to gut me in Marseille. You think I’m here for the *pleasure* of your company?” The sarcasm was a blade, but so was the weight of his gaze. Aurora hesitated. The scar on her wrist itched, as if the old cuts were still fresh. “What do you want?” He leaned in then, so close she could see the black pupil bleed into the amber, the unnatural shift of his gaze. “Information,” he whispered. “You have it. I’ll take whatever you’re holding back.” The air between them crackled. Somewhere downstairs, a car radio blared a French chanson. Aurora’s fingers curled into her palm. “If this is some half-cocked mission to prove your damn worth, I swear—” The phone in her pocket buzzed. Lucien was out the door before she could react, the slam of the lock echoing in the heavy silence. On the windowsill, Ptolemy arched his back and purred. Aurora stared at her scar, the phone blinking with an unknown number. It took her a full minute to realize she was trembling.
created_at"2026-03-25T10:13:12.113Z" 3/25/2026, 10:13:12 AM
model"qwen/qwen3-32b-04-28"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1131
moderation_latency(null)
generation_time36342
tokens_prompt1058
tokens_completion2901
native_tokens_prompt955
native_tokens_completion2500
native_tokens_completion_images(null)
native_tokens_reasoning1380
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"
usage0.0007764
router(null)
provider_responses
0
endpoint_id"6b8c829d-3094-45e7-8139-0a67e09060c3"
id"cmpl-d3ca3579cdc149e48eb92bd5ba0d19df"
is_byokfalse
latency53
model_permaslug"qwen/qwen3-32b-04-28"
provider_name"DeepInfra"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1774433592-aH7fyDD4oRQJnUNtW611"
upstream_id"cmpl-d3ca3579cdc149e48eb92bd5ba0d19df"
total_cost0.0007764
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
totalTags9
adverbTagCount1
adverbTags
0"he said quietly [quietly]"
dialogueSentences26
tagDensity0.346
leniency0.692
rawRatio0.111
effectiveRatio0.077
89.70% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount971
totalAiIsmAdverbs2
found
0
adverb"really"
count2
highlights
0"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)
53.66% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount971
totalAiIsms9
found
0
word"pristine"
count1
1
word"unreadable"
count1
2
word"down her spine"
count1
3
word"flicked"
count1
4
word"silence"
count2
5
word"pulse"
count1
6
word"weight"
count1
7
word"echoing"
count1
highlights
0"pristine"
1"unreadable"
2"down her spine"
3"flicked"
4"silence"
5"pulse"
6"weight"
7"echoing"
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
narrationSentences58
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences58
filterMatches
0"feel"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences75
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen46
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans2
markdownWords4
totalWords965
ratio0.004
matches
0"Divination for Beginners"
1"pleasure"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions12
unquotedAttributions1
matches
0"Somewhere in the room, Ptolemy hissed."
81.92% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions28
wordCount661
uniqueNames12
maxNameDensity1.36
worstName"Aurora"
maxWindowNameDensity2
worstWindowName"Aurora"
discoveredNames
Aurora9
Golden1
Empress1
Brick1
Lane1
Eva4
Ptolemy3
Moreau1
Paris1
Evan1
French1
Lucien4
persons
0"Aurora"
1"Eva"
2"Ptolemy"
3"Moreau"
4"Evan"
5"Lucien"
places
0"Golden"
1"Brick"
2"Lane"
3"Paris"
globalScore0.819
windowScore1
87.50% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences40
glossingSentenceCount1
matches
0"felt like she’d been tapped over the he"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount965
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences75
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs31
mean31.13
std20.88
cv0.671
sampleLengths
078
14
22
361
44
569
66
742
834
935
1043
1120
1264
1367
149
1511
1630
1750
1831
1932
2035
2120
2216
2345
2429
254
2634
2733
286
2928
3023
93.16% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences58
matches
0"been tapped"
1"been trained"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs109
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount0
flaggedSentences5
totalSentences75
ratio0.067
matches
0"There was no guest—just Ptolemy lounging on the windowsill, tail flicking like a metronome."
1"The scent of sandalwood and something sharper hit her first—smoke, maybe, or blood."
2"His smirk didn’t reach his eyes—the amber one glinted, but the black one stayed flat, unreadable."
3"He’d always been like this—too sure, too far above the rules, always brushing against the danger she’d been trained to avoid."
4"The police report had been clean, the coroner’s findings unremarkable, but she’d seen the way the left side of Evan’s neck had healed—too fast, too smooth."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount668
adjectiveStacks0
stackExamples(empty)
adverbCount26
adverbRatio0.038922155688622756
lyAdverbCount2
lyAdverbRatio0.0029940119760479044
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences75
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences75
mean12.87
std8.99
cv0.699
sampleLengths
027
127
224
34
42
518
614
713
816
94
1013
1126
1230
133
143
1513
1614
1715
1816
1910
208
215
2221
232
247
2514
2629
277
2813
296
3046
3112
3216
3321
3411
3519
363
376
383
398
406
4124
4210
4313
449
458
4610
4721
4810
4920
58.67% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats1
diversityRatio0.36
totalSentences75
uniqueOpeners27
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences49
matches
0"Somewhere in the room, Ptolemy"
1"Somewhere downstairs, a car radio"
ratio0.041
64.90% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount19
totalSentences49
matches
0"She’d just dropped off a"
1"Her black hair hung limp,"
2"She opened the door."
3"He looked her up and"
4"His smirk didn’t reach his"
5"He tapped the head of"
6"He stepped inside anyway, the"
7"His laugh had a brittle"
8"He flicked his fingers at"
9"She moved to block him,"
10"He’d always been like this—too"
11"he said quietly"
12"He took a step closer,"
13"She gestured at the room,"
14"His jaw tightened, the demon"
15"It wasn’t something a human"
16"She reached for the door."
17"He leaned in then, so"
18"It took her a full"
ratio0.388
11.02% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount44
totalSentences49
matches
0"The door to the flat"
1"She’d just dropped off a"
2"The three deadbolts clicked open"
3"A knock followed immediately."
4"The flat was a warren"
5"Aurora crossed the room, her"
6"Her black hair hung limp,"
7"She opened the door."
8"The scent of sandalwood and"
9"Lucien Moreau stood in the"
10"He looked her up and"
11"The cat meowed from the"
12"Aurora crossed her arms, feeling"
13"His smirk didn’t reach his"
14"He tapped the head of"
15"Ice slithered down her spine."
16"The name sliced through the"
17"He stepped inside anyway, the"
18"Aurora slammed the door shut"
19"His laugh had a brittle"
ratio0.898
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences49
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences28
technicalSentenceCount1
matches
0"The name sliced through the cluttered room behind her, knocking over Eva’s notes, spilling the names of dead ends and half-truths."
69.44% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags9
uselessAdditionCount1
matches
0"Aurora mimicked, her voice cold"
34.62% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount3
fancyTags
0"she snapped (snap)"
1"he interrupted (interrupt)"
2"he whispered (whisper)"
dialogueSentences26
tagDensity0.231
leniency0.462
rawRatio0.5
effectiveRatio0.231
81.4863%