Run: 2026-03-25-01KMJ8TWHFC920ZXK39A9GQ8DX

Run Details

Duration:
55.5s
Cost:
$0.001221
Provider:
Parasail

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 chain on the door rattled before the bolt snapped back. Aurora froze in the dim hallway light, bike helmet tucked under one arm, damp from the drizzle outside. The moment Eva’s front door cracked open, Ptolemy’s tabby tail flicked across the threshold, weaving between bare feet. Then the door stopped. Aurora hadn’t spoken her name yet. But the way Eva’s breath caught—the sudden stillness in her shoulders—told her everything. “Rory?” Eva’s voice was low, laced with something between disbelief and dread. “I know I should’ve called,” Aurora said. Her knuckles tightened around the helmet. “I didn’t know where else to go.” Eva studied her. Not angry. Not yet. Just searching. Her dark hair was pulled into a messy bun, glasses perched low on her nose, a half-unrolled scroll still in her left hand. Behind her, the flat glowed with the soft amber of a dozen desk lamps. Books spilled from shelves, scrolls curled at the edges of the coffee table, a chalkboard covered in sigils behind the couch. The scent of turmeric and old paper clung to the air. “You look like hell,” Eva said finally. Aurora smiled, small and brittle. “Feels like it too.” Eva stepped back, releasing the chain. The door swung wide. Aurora stepped in. Ptolemy circled her ankles, then vanished into the kitchen. The latch clicked behind her. Silence settled, thick with the hum of the refrigerator and the distant beat of music from the curry house below. “You’ve been working,” Aurora said, nodding at the chalkboard. “Trying to,” Eva muttered, tossing the scroll onto the couch. “Some incantation Malakhim scholars used to seal rifts in the Veil. Supposedly. Might be bullshit.” “You’d know if it was.” “I would,” Eva shot back. “If people didn’t keep vanishing before they finished their research.” Aurora flinched. Eva hadn’t looked at her since she walked in. “I’m sorry,” Aurora said. Eva turned. “Which part? Leaving Cardiff without a word? Or showing up here two years later like nothing happened?” “Both.” “‘Sorry’ doesn’t explain why you didn’t answer my calls. Why you changed your number. Why I had to hear from Silas that you were alive and working delivery for a Chinese demon in Soho.” “I wasn’t ready to talk.” “You weren’t ready?” Eva stepped closer, voice sharpening. “You left because of *him*, Rory. Evan had your passport. He controlled your bank accounts. I helped you get out. And then you just—erased me.” “I didn’t want to drag you into it again.” “I was already in it. You were *my* friend. You think I wouldn’t have fought for you?” Aurora looked down. Her boots left damp smudges on the wooden floor. She flexed her left wrist, feeling the familiar ridge of the scar under her sleeve. “I didn’t want to be weak.” “You weren’t weak.” “I felt broken.” “And you thought I wouldn’t want you like that?” Eva’s voice cracked. She turned away, arms folding across her chest. “God. You didn’t even let me decide that.” Aurora swallowed. “I didn’t know how to ask for help.” Silence. Then, softer: “Do you now?” Aurora didn’t answer. Eva exhaled through her nose, reached for the kettle. “You want tea?” “Yeah. Thanks.” The ritual of it — filling the kettle, pulling down two mismatched mugs — eased the tension by degrees. Aurora leaned against the kitchen counter, watching Eva move. The same way she always did when stressed: precise, methodical, like controlling the small things could stave off the chaos beyond. “You’re still using the green leaf blend,” Aurora said. “Some things don’t change,” Eva replied without turning. Aurora’s eyes landed on a photo taped to the fridge. Her and Eva, years ago, at a winter market in Cardiff. Both wrapped in scarves, cheeks red from the cold, laughing at something. She hadn’t seen it in person since she’d left. “You kept that.” Eva followed her gaze. “I keep a lot of things.” The kettle whistled. She poured, handed Aurora a mug. Their fingers didn’t touch. They sat on the couch, side by side, not close. The silence wasn’t empty anymore. It carried weight. Memory. “You never told me what happened after you left,” Eva said. “With him.” Aurora stared into her tea. “He found me, six months later. In Bristol. I was doing deliveries for a different place then.” Eva’s grip on her mug tightened. “I didn’t see it coming. He’d been declared persona non grata by the local enforcers after what he pulled in Cardiff, so he used a proxy. A human. Paid him to track me down.” She paused. “I managed to get away. Broke his nose, kicked him down a flight of stairs. But Evan knew I was in London then. He started sending letters. Nothing threatening. Just… reminders. ‘I miss your laugh.’ ‘Do you still take your tea with honey?’ Sick stuff.” Eva’s jaw clenched. “You should’ve told someone.” “I went to Lucien.” Eva’s eyes flicked up. “The Frenchman?” “Half-demon. Information broker. Works the grey channels.” Aurora met her gaze. “He made Evan disappear. Officially, he left the country. Unofficially? Lucien arranged for him to be handed over to a coven in Prague. They don’t take kindly to abusers. Especially not ones who dabble in coercion magic.” Eva stared. “You trusted *him* with that?” “I didn’t have a choice. And Lucien… he kept his word. No contact since.” “And you’ve been safe?” “Safe enough.” Eva set her mug down slowly. “So that’s it? You came back because you’re still running?” “No. I came back because I saw you.” “What?” “Last week. At the market on Berwick Street. You were buying sage and iron filings. Looked exactly like you always did—glasses smudged, scarf too long, muttering to yourself while you checked your list. And I—” Her voice faltered. “I froze. I wanted to walk over. Say something. But I didn’t know if you’d even want to see me.” “And now?” “Now I don’t care if you throw me out. But I needed you to know I’m not running anymore. Not from him. Not from you.” Eva didn’t speak. She reached out, slow, and took Aurora’s left wrist. Pushed up the sleeve. Her thumb brushed the crescent-shaped scar. “You never used to wear long sleeves,” she said softly. “I didn’t want people to see it.” “Why show it to me now?” “Because you knew me before it was a scar. Before everything got ugly.” Eva’s fingers lingered. Then, gently, she turned Aurora’s hand over, palm up. Placed her own against it. Skin to skin. Warmth spread up Aurora’s arm, not just from touch, but from something deeper—recognition, maybe. Or the slow thaw of something long buried. “You should’ve called,” Eva whispered. “I know.” “You could’ve written.” “I was afraid.” “Of what?” “That you’d look at me and see what he made me.” Eva’s eyes glistened. “I see *you*. I always did. Even when you vanished. Even when I was furious. I saw *you* in every book I read, every sigil I traced. You were in the silence. In the space between breaths.” Aurora’s throat tightened. Eva leaned forward. Just an inch. Close enough that Aurora could smell the faint musk of ink and dried herbs on her skin. Close enough to see the flecks of gold in her brown eyes. “I don’t forgive you,” Eva said. “Not yet.” “I’m not asking you to.” “But I’m glad you’re here.” Aurora didn’t move. Didn’t breathe. Eva cupped her face. Thumbs brushing the sharp line of her cheekbones, catching the faint track of a tear Aurora hadn’t realized had fallen. And then, slowly, Eva kissed her. Not like before—frenzied, desperate, lit by the recklessness of youth. This was different. Certain. A reclaiming. A promise. When they pulled apart, Aurora rested her forehead against Eva’s. “I love you,” she said. Soft. Final. “I always did. Even when I ran.” Eva smiled. Small. Real. “Next time,” she whispered, “try staying.”
created_at"2026-03-25T10:32:22.836Z" 3/25/2026, 10:32:22 AM
model"qwen/qwen3-235b-a22b-07-25"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency240
moderation_latency(null)
generation_time55392
tokens_prompt1034
tokens_completion2230
native_tokens_prompt954
native_tokens_completion1876
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"
usage0.001221
router(null)
provider_responses
0
endpoint_id"043eb28f-fc28-4b0d-9800-b249fcfcfbf9"
id"chatcmpl-ba8f02ab72605965"
is_byokfalse
latency240
model_permaslug"qwen/qwen3-235b-a22b-07-25"
provider_name"Parasail"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1774434742-T4k3vMgtcum4Rt90NwSX"
upstream_id"chatcmpl-ba8f02ab72605965"
total_cost0.001221
cache_discount(null)
upstream_inference_cost0
provider_name"Parasail"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags19
adverbTagCount2
adverbTags
0"Eva said finally [finally]"
1"she said softly [softly]"
dialogueSentences72
tagDensity0.264
leniency0.528
rawRatio0.105
effectiveRatio0.056
84.85% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1320
totalAiIsmAdverbs4
found
0
adverb"slowly"
count2
1
adverb"softly"
count1
2
adverb"gently"
count1
highlights
0"slowly"
1"softly"
2"gently"
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)
50.76% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1320
totalAiIsms13
found
0
word"flicked"
count2
1
word"silence"
count4
2
word"familiar"
count1
3
word"tension"
count1
4
word"methodical"
count1
5
word"weight"
count1
6
word"jaw clenched"
count1
7
word"warmth"
count1
8
word"traced"
count1
highlights
0"flicked"
1"silence"
2"familiar"
3"tension"
4"methodical"
5"weight"
6"jaw clenched"
7"warmth"
8"traced"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"jaw/fists clenched"
count1
highlights
0"jaw clenched"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences107
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences107
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences158
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen45
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans5
markdownWords5
totalWords1316
ratio0.004
matches
0"him"
1"my"
2"him"
3"you"
4"you"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions25
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions62
wordCount669
uniqueNames5
maxNameDensity4.93
worstName"Eva"
maxWindowNameDensity7
worstWindowName"Eva"
discoveredNames
Eva33
Ptolemy2
Aurora25
Cardiff1
Soft1
persons
0"Eva"
1"Ptolemy"
2"Aurora"
places
0"Cardiff"
globalScore0
windowScore0
91.86% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences43
glossingSentenceCount1
matches
0"something between disbelief and dread"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.76
wordCount1316
matches
0"not just from touch, but from something deeper"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences158
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs87
mean15.13
std16.05
cv1.061
sampleLengths
047
14
219
312
420
578
67
79
810
937
109
1125
125
1315
1411
154
1619
171
1834
195
2033
219
2217
2333
243
253
2628
2710
281
295
303
3112
322
3349
349
358
3642
373
3810
3913
4019
4113
4222
436
4481
457
464
476
4848
497
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences107
matches
0"was pulled"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs135
matches(empty)
70.52% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount6
semicolonCount0
flaggedSentences4
totalSentences158
ratio0.025
matches
0"But the way Eva’s breath caught—the sudden stillness in her shoulders—told her everything."
1"The ritual of it — filling the kettle, pulling down two mismatched mugs — eased the tension by degrees."
2"Warmth spread up Aurora’s arm, not just from touch, but from something deeper—recognition, maybe."
3"Not like before—frenzied, desperate, lit by the recklessness of youth."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount673
adjectiveStacks0
stackExamples(empty)
adverbCount22
adverbRatio0.03268945022288262
lyAdverbCount5
lyAdverbRatio0.007429420505200594
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences158
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences158
mean8.33
std7.99
cv0.959
sampleLengths
011
118
218
34
46
513
612
77
86
97
103
112
122
132
1423
1514
1621
1711
187
195
204
216
224
233
249
255
2620
279
2810
2915
305
315
3210
332
349
354
362
3717
381
3934
405
418
4225
439
4417
453
469
4715
486
493
59.49% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.379746835443038
totalSentences158
uniqueOpeners60
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences79
matches
0"Then the door stopped."
1"Then, gently, she turned Aurora’s"
2"Just an inch."
ratio0.038
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount15
totalSentences79
matches
0"Her knuckles tightened around the"
1"Her dark hair was pulled"
2"Her boots left damp smudges"
3"She flexed her left wrist,"
4"She turned away, arms folding"
5"Her and Eva, years ago,"
6"She hadn’t seen it in"
7"She poured, handed Aurora a"
8"Their fingers didn’t touch."
9"They sat on the couch,"
10"It carried weight."
11"Her voice faltered"
12"She reached out, slow, and"
13"Her thumb brushed the crescent-shaped"
14"she said softly"
ratio0.19
48.61% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount65
totalSentences79
matches
0"The chain on the door"
1"Aurora froze in the dim"
2"The moment Eva’s front door"
3"Aurora hadn’t spoken her name"
4"Eva’s voice was low, laced"
5"Her knuckles tightened around the"
6"Eva studied her."
7"Her dark hair was pulled"
8"Books spilled from shelves, scrolls"
9"The scent of turmeric and"
10"Eva said finally"
11"Aurora smiled, small and brittle."
12"Eva stepped back, releasing the"
13"The door swung wide."
14"Aurora stepped in."
15"Ptolemy circled her ankles, then"
16"The latch clicked behind her."
17"Aurora said, nodding at the"
18"Eva muttered, tossing the scroll"
19"Eva shot back"
ratio0.823
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences79
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences22
technicalSentenceCount0
matches(empty)
98.68% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags19
uselessAdditionCount1
matches
0"Eva stepped, voice sharpening"
94.44% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags14
fancyCount4
fancyTags
0"Eva muttered (mutter)"
1"Her voice faltered (falter)"
2"Eva whispered (whisper)"
3"she whispered (whisper)"
dialogueSentences72
tagDensity0.194
leniency0.389
rawRatio0.286
effectiveRatio0.111
86.6407%