Run: 2026-09-03-01M1KCRXG55QRRJFXMW13YX2C9

Run Details

Duration:
3m 26s
Cost:
$0.045302
Provider:
Phala

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 last deadbolt slid back with a clack that echoed down the stairwell. Aurora pulled the door open, and cold air rolled over her bare feet. Lucien Moreau stood on the landing with one fist raised, rain caught in his platinum hair like threads of glass. His eyes—one amber, one black—moved from her face to the dangling chain lock. He lowered his hand. “You opened it.” “Force of habit.” His mouth curved. “You never had habits. You had strategies.” She braced a shoulder against the doorframe. “What are you doing here, Lucien?” “I was in the neighborhood.” “Brick Lane? You can’t stand Brick Lane.” “I can stand a great many things for a good reason.” The smell of curry and wet pavement climbed the stairs. Ptolemy appeared from a shelf of scrolls and wound between her ankles, tail high. Lucien looked down at the cat, then back at her. “May I come in?” “No.” He tilted his head. The amber eye caught the weak light. The black one swallowed it. “Your hand is holding the door open.” She glanced down. Her knuckles had gone pale around the edge, but she hadn’t shut it. “That’s not an invitation.” “It isn’t a refusal.” He shifted the cane. “Rory. I would not have come without cause.” The sound of her name in his mouth left a trail of heat down her spine. She stepped aside. He moved into the flat with that same unhurried grace she remembered, ducking under the low lintel. The cane tapped once on the floorboards. He smelled of rain and something sharper—ozone, or the charged air before a storm. She closed the door and slid all three deadbolts home before she could think better of it. “You can take your coat off, but don’t sit. Eva’s research is all over the place.” He unbuttoned his jacket but left it on. His gaze swept the room—the leaning towers of books, the scrolls spilling from the sofa cushions, the takeaway containers stacked near the sink. “She still lives like a scholar on the run.” “Some of us don’t get to choose.” His gaze found hers. “No. Some of us don’t.” Aurora crossed to the narrow kitchen counter and filled the kettle, the water crashing into the metal basin. She could feel him watching the back of her neck. “You’ve been working for Yu-Fei.” She set the kettle down with a clank. “You keeping tabs on me now?” “I keep tabs on everyone. You know this.” “Then you know I’m fine.” “I know you’re delivering food to places that would eat you alive if they knew what you were.” She turned. “I’m not what I was.” “Neither am I.” The words came without heat, but his voice thinned the air between them. “That has never been the problem.” “Then what is the problem, Lucien? You vanish for four months. No call. No word. Then you turn up on Eva’s landing like a ghost with a rain-soaked suit.” “I left a note.” “A note. Three words on a receipt. ‘Don’t look for me.’” His jaw tightened. “It was safer.” “Safer for who?” Ptolemy jumped onto the table and knocked a stack of papers to the floor. Neither of them moved to pick them up. “For you.” Lucien crossed to the window, putting the small table between them. Outside, the Brick Lane signs buzzed and flickered. “I told myself I would not come back until I had control of it.” “Control of what?” He didn’t answer. His knuckles went white on the ivory handle of the cane. The stillness of him was too deliberate. She recognized it—the way he held himself when something inside him ran wild. “You’re afraid of yourself.” The words came out flat, certain. His laugh was a single dry note. “You always could see me. It was maddening.” “Then why did you run?” “Because I could not see you without wanting to stay. And staying was not a thing I could do.” The kettle began to hiss. She ignored it. “You don’t get to do that.” Her voice shook, but she kept her chin up. “You don’t get to leave because you wanted me and then come back because you still do.” “I know.” “Then why are you here?” He took a step toward her. Then another. The cane stayed at his side, but his free hand opened and closed. “I have been to four countries and six cities, and not one of them had the decency to be the place you were.” She pressed her back against the counter. “That’s not an answer.” “It is the only one I have.” His gaze dropped to her mouth. The room felt smaller, warmer, thick with the scents of rain and curry and old paper. Her pulse beat in her throat. “Lucien.” His name came out as a warning. He stopped just short of touching her. “Tell me to leave. I will leave.” She couldn’t. Her chest rose and fell too fast. The hiss of the kettle climbed to a shriek behind her. “I didn’t come here to upset you.” “Then why did you come?” His hand lifted and brushed a strand of black hair from her cheek, the touch so light she might have imagined it. “Because I have not stopped thinking about you since the night I walked out of this flat. And I have run out of places to put that.” Aurora flinched but didn’t pull away. “You left a note on a receipt, Lucien. You don’t get to say things like that.” “I know.” “Stop saying ‘I know.’” “Then what would you have me say?” She turned to the stove and yanked the kettle off the flame. The shriek died. She poured hot water into two mismatched mugs, more to busy her hands than because she wanted tea. “I thought you were dead. I went to your flat. I called your number until it stopped ringing.” He stayed silent. “Do you have any idea what that was like?” She set the kettle down harder than she meant to. “I thought your father finally came for you. Or one of your clients. I thought maybe I’d find you in a morgue.” “I was not in a morgue.” “No, you were in Brussels. Or Prague. Or wherever the hell you go.” “Brussels first. Then Prague.” “Good for you.” She thrust a mug toward him. The water wasn’t steeped, just hot. “I don’t have anything stronger.” He took the mug, and his fingers brushed hers for half a second. She pulled back and busied herself with the kettle. He turned the mug in his hands. “You stayed at Eva’s flat.” “It’s safe.” “Nothing is safe.” His voice softened. “I didn’t leave because I stopped caring.” “Then why didn’t you come back?” He set the mug on the table and moved closer. “I have spent thirty-two years learning that the things I want are the things I ruin. And you were the first thing I wanted that I could not bear to lose.” She laughed, short and bitter. “That is the worst excuse I’ve ever heard.” “It is not an excuse. It is a reason.” “Same thing.” “No. An excuse asks for forgiveness.” His eyes locked on hers. “I am not asking for forgiveness.” “Then what are you asking for?” “Nothing.” He reached past her to set the mug down on the counter, and his sleeve brushed the wrist with the crescent scar. She shivered. “I am not asking. I am telling you. I have run as far as I can run from this, and it has followed me.” “This?” “You. Us. Whatever we were becoming before I ended it.” She opened her mouth, but no words came. Ptolemy leapt onto the counter and meowed, but neither of them looked at him. “You ended it. I didn’t get a say.” Her voice cracked. “I know. That was the cruelest part.” “Lucien—” He lifted his hand again, not quite touching her face. “I left because I believed it would keep you safe. It did not. You were safer when I was here.” A tear slid down her cheek before she could catch it. She swiped it away with the back of her hand. “Don’t.” “Don’t what?” “Don’t stand there and say everything I waited to hear. Not like this.” “Then how?” She grabbed the front of his damp jacket. The wool was cold and rough under her fingers. “Like you mean it.” He caught her wrist. His thumb pressed over her pulse. “I have never meant anything more.” The kettle had gone quiet. The cat purred somewhere near her hip. Neither of them moved.
created_at"2026-09-03T10:24:30.737Z" 9/3/2026, 10:24:30 AM
model"deepseek/deepseek-v4-pro-20260813"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1193
moderation_latency(null)
generation_time205999
tokens_prompt1004
tokens_completion11136
native_tokens_prompt1018
native_tokens_completion10319
native_tokens_completion_images(null)
native_tokens_reasoning8385
native_tokens_cached896
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
service_tier(null)
usage0.04530214
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788431070-2V6p267yGf87tzytXYat"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788431070-YhG5QUJXO7XXI1oosssv"
upstream_id"req_cdd51c9b958b838dc45ab06b776abdf1"
provider_responses
0
endpoint_id"bb1fb528-2000-460c-a65e-b82dc347c019"
id"req_cdd51c9b958b838dc45ab06b776abdf1"
is_byokfalse
latency383
model_permaslug"deepseek/deepseek-v4-pro-20260813"
provider_name"Phala"
status200
total_cost0.04530214
cache_discount0.0011648
upstream_inference_cost0
provider_name"Phala"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags12
adverbTagCount0
adverbTags(empty)
dialogueSentences87
tagDensity0.138
leniency0.276
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1446
totalAiIsmAdverbs0
found(empty)
highlights(empty)
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)
75.80% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1446
totalAiIsms7
found
0
word"echoed"
count1
1
word"down her spine"
count1
2
word"charged"
count1
3
word"could feel"
count1
4
word"flickered"
count1
5
word"pulse"
count2
highlights
0"echoed"
1"down her spine"
2"charged"
3"could feel"
4"flickered"
5"pulse"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"knuckles turned white"
count1
highlights
0"knuckles went white"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences87
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences87
filterMatches(empty)
hedgeMatches
0"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences162
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen32
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1441
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions12
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions12
wordCount762
uniqueNames6
maxNameDensity0.39
worstName"Aurora"
maxWindowNameDensity1
worstWindowName"Lucien"
discoveredNames
Moreau1
Brick1
Lane1
Aurora3
Lucien3
Ptolemy3
persons
0"Moreau"
1"Aurora"
2"Lucien"
3"Ptolemy"
places
0"Brick"
1"Lane"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences62
glossingSentenceCount1
matches
0"not quite touching her face"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1441
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences162
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs93
mean15.49
std13.6
cv0.878
sampleLengths
059
17
23
310
413
55
67
711
834
94
101
1123
1216
134
1416
1519
1655
1716
1840
197
209
2128
225
2314
248
255
2618
277
2822
2929
304
3111
326
333
3422
3535
363
3734
3810
3915
405
4119
428
4332
442
455
4644
4711
487
4928
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences87
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs131
matches(empty)
72.31% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount0
flaggedSentences4
totalSentences162
ratio0.025
matches
0"His eyes—one amber, one black—moved from her face to the dangling chain lock."
1"He smelled of rain and something sharper—ozone, or the charged air before a storm."
2"His gaze swept the room—the leaning towers of books, the scrolls spilling from the sofa cushions, the takeaway containers stacked near the sink."
3"She recognized it—the way he held himself when something inside him ran wild."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount767
adjectiveStacks0
stackExamples(empty)
adverbCount19
adverbRatio0.024771838331160364
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences162
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences162
mean8.9
std6.03
cv0.678
sampleLengths
013
113
220
313
44
53
63
73
87
97
106
115
127
1311
1410
1514
1610
174
181
194
207
215
227
233
2413
254
268
278
2816
293
3017
317
3214
3317
3416
358
3623
379
387
394
405
4118
4210
435
448
456
468
475
4818
492
46.30% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.2345679012345679
totalSentences162
uniqueOpeners38
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences83
matches(empty)
ratio0
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount52
totalSentences83
matches
0"His eyes—one amber, one black—moved"
1"He lowered his hand."
2"His mouth curved."
3"She braced a shoulder against"
4"He tilted his head."
5"She glanced down."
6"Her knuckles had gone pale"
7"He shifted the cane"
8"She stepped aside."
9"He moved into the flat"
10"He smelled of rain and"
11"She closed the door and"
12"He unbuttoned his jacket but"
13"His gaze swept the room—the"
14"His gaze found hers."
15"She could feel him watching"
16"She set the kettle down"
17"His jaw tightened."
18"He didn’t answer."
19"His knuckles went white on"
ratio0.627
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount82
totalSentences83
matches
0"The last deadbolt slid back"
1"Aurora pulled the door open,"
2"Lucien Moreau stood on the"
3"His eyes—one amber, one black—moved"
4"He lowered his hand."
5"His mouth curved."
6"She braced a shoulder against"
7"The smell of curry and"
8"Ptolemy appeared from a shelf"
9"Lucien looked down at the"
10"He tilted his head."
11"The amber eye caught the"
12"The black one swallowed it."
13"She glanced down."
14"Her knuckles had gone pale"
15"He shifted the cane"
16"The sound of her name"
17"She stepped aside."
18"He moved into the flat"
19"The cane tapped once on"
ratio0.988
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences83
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences30
technicalSentenceCount0
matches(empty)
41.67% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags12
uselessAdditionCount2
matches
0"The words came, but his voice thinned the air between them"
1"The words came out, certain"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
81.2023%