Run: 2026-10-20-01M5C66T6RM1P0SF3VP5B0WAP6

Run Details

Duration:
18.8s
Cost:
$0.001213
Provider:
InferenceNet

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 third deadbolt slid home with a satisfying thunk. Rory leaned her forehead against the cool wood of the door, the day’s grime and the smell of curry from the restaurant below clinging to her. A shower, a cheap beer, and a few hours of case law before she could pass out—that was the plan. It was a good plan. A knock, sharp and insistent, shattered it. She froze. Eva wasn’t due back from her archive run until late. Rory wasn’t expecting anyone. She pushed off the door and peered through the spyhole. Her breath hitched. The distorted, fish-eye view showed a charcoal suit, a shock of platinum blond hair, and a face she’d spent three months trying to forget. Lucien Moreau. He stood there, a dark, elegant silhouette against the dim hallway light, his ivory-handled cane held loosely in one hand. Another knock, this one slower, more deliberate. “Rory. I know you’re in there. Your light’s on.” His voice, muffled by the door, still carried that infuriatingly smooth cadence. It was the voice that had whispered secrets against her skin, the one that had lied with a smile. She didn’t move. He could stand there until the mould on the walls grew a beard. “It’s about the Ardent file,” he said, the words a clear, cold key designed to pick the lock of her silence. “The one you asked me to find.” Her jaw tightened. The Ardent file. The very thing that had started the whole damn mess. She’d asked him for information, paid him for it, and then he’d disappeared, leaving her with nothing but a dead end and a bitter taste in her mouth. Now he had the gall to show up here, on her doorstep, dangling it like bait. She snapped the lock, pulled the door open a crack, the chain still firmly in place. It was just enough to see the full picture of him. He looked the same. Impeccable. His mismatched eyes—one amber, one black—settled on her, and a faint, unreadable smile played on his lips. “You look well, Aurora.” “It’s Rory,” she said, her voice flat. “And you have five seconds to tell me why you’re darkening my doorway before I slam this in your face.” His smile didn’t waver. “The file. I have it. But it’s not something I can slip under the door. It requires context. A conversation.” “We’ve had conversations before. They didn’t end well.” The memory of their last one, in his office, flared hot and sharp in her mind. The taste of his whiskey on her tongue, the weight of his hand on her back, the sudden, icy chill when he’d pulled away and told her to leave. “Leave the file with Eva. I’m busy.” She started to push the door shut. “Evan is looking for you,” he said. The words stopped her cold. Her hand tightened on the door’s edge, knuckles turning white. He knew about Evan. He knew the name she never spoke, the ghost that haunted her every shadow. Her old life in Cardiff felt like a different person, but Evan was the thread that still tied her to it, a knot of fear in her stomach. She stared at him through the narrow gap, seeing the truth in his mismatched eyes. He wasn’t bluffing. He never bluffed about things like this. It was his business. “How do you know that?” Her voice was a low whisper, stripped of its earlier defiance. “Because he’s been asking for you in the kinds of places I frequent. He’s not the subtle type.” Lucien’s gaze was steady. He wasn’t gloating, wasn’t using it as leverage. It was a simple, brutal statement of fact. “I can help you with this, but not from a hallway.” A long, heavy silence stretched between them. The sounds of Brick Lane—a distant siren, the chatter of a late-night crowd—seeped through the thin walls of the flat. Her flat. Her sanctuary. And now, this man was threatening to shatter it. Reluctantly, she closed the door, slid the chain free, and opened it fully. She stepped back, a wordless invitation. He walked in, his gaze sweeping the cramped space before settling on her. The click of the door closing behind him sounded like a verdict. “So,” she said, crossing her arms. “Talk.” He didn’t. Not right away. He moved past her, towards the chaos of Eva’s research. His shoes were silent on the worn floorboards. He picked up a scroll, his long fingers tracing the strange symbols on the parchment. Ptolemy, Eva’s tabby, eyed him with suspicion from a towering stack of books, tail twitching. “You’ve been busy,” he murmured, setting the scroll down. “I’m not paying you for small talk.” Her voice was sharp, strained. “The file, Lucien.” He turned, his expression serious now, the charming veneer gone. “The file is a trap. The information inside is genuine, but it’s been salted with a minor demonic sigil, a… harmless thing, but it acts as a beacon. I found it, and I burned it. I paid off the seller. But the damage is done. The circle that created it knows someone is looking into the Ardent legacy, and so does Evan.” She felt a wave of nausea. A demonic sigil. Of course. This wasn’t just a legal case anymore. It had never been. “So you thought you’d come here and play the hero,” she said, her voice laced with bitterness. “Show up after three months of silence, drop a bombshell, and fix everything.” He took a step closer, his posture radiating a sudden, unexpected tension. His eyes, one warm amber, one a pool of darkness, held her captive. “I didn’t ‘not talk to you’ for three months, Rory,” he said, his voice dropping low. “I was in Avaros. Tying up loose ends from a contract that got messy. I couldn’t reach out. It wasn’t… safe.” “Avaros,” she repeated, the word tasting foreign and absurd on her tongue. A demon realm. He’d been in a demon realm. The implication was so vast, so alien, it made her head spin. “You could have told me. Before you left.” “I didn’t know it would be dangerous until I was there,” he said, his gaze never leaving hers. “I didn’t want to drag you into that.” “You think this—Evan finding me—is any different?” Frustration warred with a treacherous flicker of relief inside her. “I can handle myself, Lucien.” “I know you can,” he said, the words soft, carrying the weight of a genuine apology. He lifted a hand, his fingers brushing a stray strand of hair from her cheek. The brief contact sent a shiver down her spine. “But that doesn’t mean you have to do it alone.” They stood like that for a frozen moment, the air thick with the history between them—the unspoken apology on his lips, the lingering accusation in her eyes. Her gaze flickered down to his mouth. “What now?” she said, her voice barely a whisper. Lucien’s hand dropped. “Evan is a fool, but a persistent one. He will find you. I have a safe house. We can go there, plan our next move.” “Our?” she echoed, her walls slamming back up. “You’re not staying here. We are not a ‘we’.” A flicker of something—pain, regret—crossed his face before he smoothed it over. “Fine. Evan is in London. I have contacts there. I can get you out of this city by morning. But the safe house is closer, and we’re exposed here.” “I’m not going anywhere with you. Not after you left me standing in your office.” The words were out before she could stop them, raw and vulnerable. A part of her had been standing in that office ever since, waiting for an explanation that never came. His jaw tightened. He reached for his cane, his fingers wrapping around the ivory handle. “You’re right. You’re owed more than a cryptic explanation and a safe house address.” He met her eyes, his stare unwavering. “Rory, I left because… I couldn’t protect you from him. From Evan. I had a lead, a way to end this, a way to make him disappear. But I had to cross into Avaros to do it. I couldn’t tell you, because if I failed, I didn’t want you to be looking for someone who wasn’t coming back.” The confession hung in the air, a raw, jagged thing. It didn’t excuse him, but it explained. He hadn’t left her; he’d gone to war for her. “And he’s here now,” she said, the fight draining out of her. “So you failed.” “I failed to finish it,” he corrected gently. “The contract is still active. But it means I know how he thinks. I know his patterns. Let me help. Not as a fixer. As me.” A long moment passed. She looked from his determined face to the cluttered flat, a haven she’d built to feel safe, and knew it was a lie. “I need a bag,” she said. The line of his shoulders relaxed a fraction. “I’ll wait.”
created_at"2026-10-20T08:17:52.572Z" 10/20/2026, 8:17:52 AM
model"deepseek/deepseek-v4.1-flash-20261017"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency305
moderation_latency(null)
generation_time18465
tokens_prompt1004
tokens_completion2463
native_tokens_prompt940
native_tokens_completion2276
native_tokens_completion_images(null)
native_tokens_reasoning203
native_tokens_cached0
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)
usage0.0012132
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1792484272-5p6haeTFA6GnaLeUwMz1"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1792484272-iQAbZZpASgzynEpUYWPg"
upstream_id"gv2_H7UzbxJudEZiqcKRS7Cfz"
provider_responses
0
endpoint_id"4231aea9-73af-4a2f-bd14-660b1d8b13b2"
id"gv2_H7UzbxJudEZiqcKRS7Cfz"
is_byokfalse
latency304
model_permaslug"deepseek/deepseek-v4.1-flash-20261017"
provider_name"InferenceNet"
status200
total_cost0.0012132
cache_discount(null)
upstream_inference_cost0
provider_name"InferenceNet"
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
totalTags20
adverbTagCount1
adverbTags
0"he corrected gently [gently]"
dialogueSentences45
tagDensity0.444
leniency0.889
rawRatio0.05
effectiveRatio0.044
86.81% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1516
totalAiIsmAdverbs4
found
0
adverb"loosely"
count1
1
adverb"very"
count1
2
adverb"reluctantly"
count1
3
adverb"gently"
count1
highlights
0"loosely"
1"very"
2"reluctantly"
3"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)
14.25% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1516
totalAiIsms26
found
0
word"shattered"
count1
1
word"silence"
count3
2
word"firmly"
count1
3
word"unreadable"
count1
4
word"weight"
count2
5
word"chill"
count1
6
word"stomach"
count1
7
word"whisper"
count2
8
word"sanctuary"
count1
9
word"tracing"
count1
10
word"beacon"
count1
11
word"tension"
count1
12
word"implication"
count1
13
word"treacherous"
count1
14
word"flicker"
count2
15
word"down her spine"
count1
16
word"unspoken"
count1
17
word"flickered"
count1
18
word"echoed"
count1
19
word"unwavering"
count1
20
word"determined"
count1
highlights
0"shattered"
1"silence"
2"firmly"
3"unreadable"
4"weight"
5"chill"
6"stomach"
7"whisper"
8"sanctuary"
9"tracing"
10"beacon"
11"tension"
12"implication"
13"treacherous"
14"flicker"
15"down her spine"
16"unspoken"
17"flickered"
18"echoed"
19"unwavering"
20"determined"
33.33% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches3
maxInWindow3
found
0
label"wave of emotion"
count1
1
label"hung in the air"
count1
2
label"sent a shiver through"
count1
highlights
0"a wave of nausea"
1"hung in the air"
2"sent a shiver down"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences105
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences105
filterMatches(empty)
hedgeMatches
0"started to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences128
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen62
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1507
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions23
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions14
wordCount1004
uniqueNames9
maxNameDensity0.3
worstName"Lucien"
maxWindowNameDensity1
worstWindowName"Evan"
discoveredNames
Moreau1
Ardent1
Evan2
Cardiff1
Lucien3
Brick1
Lane1
Eva3
Frustration1
persons
0"Moreau"
1"Evan"
2"Lucien"
3"Eva"
4"Frustration"
places
0"Cardiff"
1"Brick"
2"Lane"
globalScore1
windowScore1
80.56% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences72
glossingSentenceCount2
matches
0"felt like a different person, but Evan"
1"sounded like a verdict"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1507
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences128
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs50
mean30.14
std19.96
cv0.662
sampleLengths
060
17
226
33
446
57
69
731
816
928
1060
1149
124
1327
1424
1560
167
177
1861
1929
2016
2149
2240
2344
247
2553
269
2715
2872
2922
3030
3125
3237
3341
3426
3522
3650
3734
389
3928
4017
4141
4246
4394
4427
4515
4634
4727
486
4910
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences105
matches(empty)
0.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount5
totalVerbs163
matches
0"wasn’t expecting"
1"wasn’t bluffing"
2"wasn’t gloating"
3"wasn’t using"
4"was threatening"
8.93% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount8
semicolonCount1
flaggedSentences6
totalSentences128
ratio0.047
matches
0"A shower, a cheap beer, and a few hours of case law before she could pass out—that was the plan."
1"His mismatched eyes—one amber, one black—settled on her, and a faint, unreadable smile played on his lips."
2"The sounds of Brick Lane—a distant siren, the chatter of a late-night crowd—seeped through the thin walls of the flat."
3"They stood like that for a frozen moment, the air thick with the history between them—the unspoken apology on his lips, the lingering accusation in her eyes."
4"A flicker of something—pain, regret—crossed his face before he smoothed it over."
5"He hadn’t left her; he’d gone to war for her."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1014
adjectiveStacks0
stackExamples(empty)
adverbCount25
adverbRatio0.02465483234714004
lyAdverbCount7
lyAdverbRatio0.006903353057199211
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences128
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences128
mean11.77
std9.44
cv0.802
sampleLengths
09
126
220
35
47
52
610
74
810
93
1024
112
1220
137
149
1512
1619
173
1813
1921
207
213
223
2310
2428
2516
2616
2711
284
291
3017
314
327
3320
344
3520
3624
3729
387
397
407
415
4210
434
4414
4528
4615
473
487
494
44.53% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.2734375
totalSentences128
uniqueOpeners35
34.72% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences96
matches
0"Reluctantly, she closed the door,"
ratio0.01
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount61
totalSentences96
matches
0"It was a good plan."
1"She pushed off the door"
2"Her breath hitched."
3"He stood there, a dark,"
4"His voice, muffled by the"
5"It was the voice that"
6"She didn’t move."
7"He could stand there until"
8"he said, the words a"
9"Her jaw tightened."
10"She’d asked him for information,"
11"She snapped the lock, pulled"
12"It was just enough to"
13"He looked the same."
14"His mismatched eyes—one amber, one"
15"she said, her voice flat"
16"His smile didn’t waver."
17"She started to push the"
18"Her hand tightened on the"
19"He knew about Evan."
ratio0.635
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount92
totalSentences96
matches
0"The third deadbolt slid home"
1"Rory leaned her forehead against"
2"A shower, a cheap beer,"
3"It was a good plan."
4"A knock, sharp and insistent,"
5"Eva wasn’t due back from"
6"Rory wasn’t expecting anyone."
7"She pushed off the door"
8"Her breath hitched."
9"The distorted, fish-eye view showed"
10"He stood there, a dark,"
11"Another knock, this one slower,"
12"His voice, muffled by the"
13"It was the voice that"
14"She didn’t move."
15"He could stand there until"
16"he said, the words a"
17"Her jaw tightened."
18"The Ardent file."
19"The very thing that had"
ratio0.958
52.08% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences96
matches
0"Now he had the gall"
ratio0.01
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences39
technicalSentenceCount2
matches
0"He knew the name she never spoke, the ghost that haunted her every shadow."
1"He walked in, his gaze sweeping the cramped space before settling on her."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags20
uselessAdditionCount7
matches
0"she said, her voice flat"
1"he said, his voice dropping low"
2"she repeated, the word tasting foreign and absurd on her tongue"
3"she said, her voice barely a whisper"
4"she echoed, her walls slamming back up"
5"He met, his stare unwavering"
6"she said, the fight draining out of her"
83.33% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags14
fancyCount3
fancyTags
0"he murmured (murmur)"
1"she repeated (repeat)"
2"he corrected gently (correct)"
dialogueSentences45
tagDensity0.311
leniency0.622
rawRatio0.214
effectiveRatio0.133
71.2848%