Run: 2026-04-25-01KQ2GRFQDTAW69ZP2GFHRYYYV

Run Details

Duration:
29.5s
Cost:
$0.000572
Provider:
DeepSeek

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 knock came at half past ten, a sharp, deliberate triple rap against the wood of the door. Rory looked up from the stack of takeaway menus she’d been folding at the kitchen table. Ptolemy, sprawled across her open textbook, flicked an ear and yawned. She wasn’t expecting anyone. Not Eva, who was at a late shift at the British Library. Not Silas, who never climbed the stairs to her flat unless the roof was leaking again. She set down the menu and crossed the cramped living room, past the tower of books leaning against the sofa. The deadbolt scraped as she slid it back. The chain rattled. Through the two-inch gap, a sliver of charcoal wool and a silver-plated watch. Her hand stopped on the chain. “Aurora.” His voice carried the same measured, unhurried cadence she remembered from six months ago. “I know it’s late.” She pressed her forehead against the edge of the door. The wood was cool. The chain bit into her palm. “You’re supposed to call first.” She didn’t open it wider. Didn’t let him see her face completely. “I tried. Both numbers. You changed them.” A pause. “The restaurant said you’d be off by nine. I waited.” Of course he had. Lucien Moreau didn’t do coincidence. He did calculations. Every footstep measured, every question loaded with three possible answers. She unhooked the chain. Pulled the door open. He stood in the dim bulb light of the hallway, one hand resting on the ivory head of his cane, the other holding a paper bag that smelled of good bread and something roasted. His blond hair was still slicked back, every strand in order. The suit was charcoal, not black, and the tie was loosened at the collar. That was the only concession to informality he ever made. His eyes—one amber, one black—moved across her face in a slow sweep that felt like a hand tracing a familiar map. “You’re thinner,” he said. “You’re still wearing the same cologne.” Something flickered across his mouth. Not quite a smile. “May I come in?” She stepped aside. Ptolemy hopped off the table and trotted over to sniff Lucien’s polished Oxfords. He didn’t look down. The flat was small. One step inside and he was already at the edge of the sofa. He set the paper bag on the cluttered kitchen counter and turned. His gaze landed on the corkboard above her desk—pinned with string maps, newspaper clippings, a photo of her and Eva at Brighton Pier. The photo was two years old. Before Evan. Before she’d fled to London. Before Lucien had pulled her out of a basement in Wapping and told her she wasn’t the first human he’d helped, but she was the one who’d made him think twice about his job. She hadn’t seen him since that night. She’d left a thank-you note at his office. He’d sent back a single white orchid with no card. “You’re not easy to find,” he said. “That’s good. You learned.” “I had a good teacher.” She closed the door, but didn’t lock it. “You want tea? Coffee? I’ve got instant and something Eva left that might be yerba mate.” “No.” Right. Straight to the point. She crossed her arms. “Why are you here, Lucien?” He took off his gloves. Slow. Deliberate. Leather pulling away from long fingers. She’d watched him do it a dozen times during the weeks they’d worked together—before she’d understood what it cost him to get involved. Before he’d told her that the half-demon part of him could feel the weight of every promise he hadn’t made. “I need your help,” he said. The words landed like a stone in a glass of water. She let out a breath. “You don’t ask for help. You offer it.” “I’m asking.” He set the gloves on the counter beside the bag. “A shipment came through the Tidal Gate last night. My people intercepted it. The contents were … specific.” “Specific how?” “They’re all tied to you, Aurora. Photographs. A lock of hair. Copies of your university transcripts. Medical records from Cardiff.” Her stomach went cold. The air in the room turned thin. “Who sent it?” “That’s what I’m trying to find out. The courier was dead before I got to him. But the package had a sigil I recognize. It’s from Avaros.” The demon realm. His father’s side. She uncrossed her arms. Her fingertips found the small crescent scar on her left wrist, a nervous habit she thought she’d killed months ago. “You came to warn me,” she said. “I came to see you.” He said it without the usual veil of subtlety he carried like a second skin. “The warning is a courtesy. Seeing you is the reason.” The silence stretched. Ptolemy jumped onto the armchair and began washing a paw. She looked at him—at the careful way he stood, shoulders squared, the cane held at rest but ready to draw the blade hidden inside. At the faint bruise on his jaw that foundation didn’t quite cover. At the way his gaze didn’t waver. Six months. No calls. No visits. A single orchid. And now he was in her kitchen, smelling of rain and sandalwood, telling her that someone had assembled a dossier on her life. “You could have left a note,” she said. “Sent a message through Silas.” “I could have.” He stepped closer. The distance between them shrank to an arm’s length. “But I’ve spent six months telling myself that walking away was the right thing. That you were safer without me attached to you. And then I held a folder with your face on it, and I realized I didn’t care about safety.” Her throat tightened. “That’s not a line,” she said. “That’s a scare.” “I know.” His voice was low. “But I’ve run out of elegant ways to say I miss you, Aurora. I’ve used all the good ones in letters I never sent.” She remembered the orchid. The single, perfect white bloom. “You’re an idiot,” she said. “Yes.” He smiled then. A real one, with teeth, that creased the corner of his mismatched eyes. “Would you like me to leave?” She stepped forward. Her hand found the lapel of his suit jacket, the wool soft and warm from his body. She pulled him down, and for a second their mouths hovered close enough to feel each other’s breath. “No,” she said. “But you’re explaining the Avaros sigil before I decide if you get to stay the night.” He let out a sound—half laugh, half exhale of relief. “Fair.” Ptolemy meowed from the armchair. Lucien glanced at the cat, then back at her. “I also brought a roast chicken from the place on Charing Cross Road.” “You bribed me with chicken.” “I know your priorities.” She kissed him. It was brief, rough, and tasted like six months of stored-up anger and want. When she pulled back, his hand was already pressed against the small of her back, steady and warm. “Talk,” she said. “From the beginning.” He opened his mouth, then closed it. For once, Lucien Moreau looked unsure of where to start. She pulled out a chair at the kitchen table. He sat. She poured two glasses of water from the tap, set one in front of him, and waited. The chicken sat in its paper bag, still warm. The flat smelled like roasted garlic and rosemary. And for the first night in weeks, the weight in her chest eased enough to let her breathe.
created_at"2026-04-25T14:30:07.345Z" 4/25/2026, 2:30:07 PM
model"deepseek/deepseek-v4-flash-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency736
moderation_latency(null)
generation_time29434
tokens_prompt1034
tokens_completion2186
native_tokens_prompt939
native_tokens_completion1931
native_tokens_completion_images(null)
native_tokens_reasoning222
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"
usage0.000571788
router(null)
provider_responses
0
endpoint_id"722e0746-2034-4d6e-a08f-e6271849ee9e"
id"dddf0cc8-6de4-4026-b981-933463b12106"
is_byokfalse
latency331
model_permaslug"deepseek/deepseek-v4-flash-20260423"
provider_name"DeepSeek"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777127407-2P0i2FcoervhxzomKfta"
session_id(null)
api_type"completions"
id"gen-1777127407-O8m9bsvphGGHxmj9HfE9"
upstream_id"dddf0cc8-6de4-4026-b981-933463b12106"
total_cost0.000571788
cache_discount0.000100352
upstream_inference_cost0
provider_name"DeepSeek"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags16
adverbTagCount1
adverbTags
0"He smiled then [then]"
dialogueSentences44
tagDensity0.364
leniency0.727
rawRatio0.063
effectiveRatio0.045
96.03% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1258
totalAiIsmAdverbs1
found
0
adverb"completely"
count1
highlights
0"completely"
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)
52.31% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1258
totalAiIsms12
found
0
word"flicked"
count1
1
word"measured"
count2
2
word"tracing"
count1
3
word"familiar"
count1
4
word"flickered"
count1
5
word"could feel"
count1
6
word"weight"
count2
7
word"stomach"
count1
8
word"silence"
count1
9
word"perfect"
count1
highlights
0"flicked"
1"measured"
2"tracing"
3"familiar"
4"flickered"
5"could feel"
6"weight"
7"stomach"
8"silence"
9"perfect"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"let out a breath"
count1
highlights
0"let out a breath"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences109
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences109
filterMatches
0"see"
1"think"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences135
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen42
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1252
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions21
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions24
wordCount930
uniqueNames15
maxNameDensity0.54
worstName"Lucien"
maxWindowNameDensity1
worstWindowName"Lucien"
discoveredNames
Eva2
British1
Library1
Silas1
Didn1
Moreau2
Lucien5
Oxfords1
Brighton1
Pier1
Evan1
London1
Wapping1
Right1
Ptolemy4
persons
0"Eva"
1"Silas"
2"Moreau"
3"Lucien"
4"Evan"
5"Ptolemy"
places
0"British"
1"Library"
2"Brighton"
3"London"
4"Wapping"
globalScore1
windowScore1
0.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences57
glossingSentenceCount4
matches
0"felt like a hand tracing a familiar map"
1"quite cover"
2"tasted like six months of stored-up anger"
3"smelled like roasted garlic and rosemary"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1252
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences135
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs63
mean19.87
std17.86
cv0.899
sampleLengths
018
159
231
313
46
519
620
717
819
922
108
1169
1221
134
146
1513
1620
1799
1825
1911
2029
211
225
239
2456
256
2611
2713
2830
292
3020
3111
323
3327
346
3524
367
3730
3813
3943
409
4123
4213
4357
443
459
4630
479
485
4923
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences109
matches
0"was loosened"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs163
matches
0"wasn’t expecting"
1"was leaking"
37.04% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount6
semicolonCount0
flaggedSentences5
totalSentences135
ratio0.037
matches
0"His eyes—one amber, one black—moved across her face in a slow sweep that felt like a hand tracing a familiar map."
1"His gaze landed on the corkboard above her desk—pinned with string maps, newspaper clippings, a photo of her and Eva at Brighton Pier."
2"She’d watched him do it a dozen times during the weeks they’d worked together—before she’d understood what it cost him to get involved."
3"She looked at him—at the careful way he stood, shoulders squared, the cane held at rest but ready to draw the blade hidden inside."
4"He let out a sound—half laugh, half exhale of relief."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount941
adjectiveStacks1
stackExamples
0"single, perfect white bloom."
adverbCount29
adverbRatio0.030818278427205102
lyAdverbCount2
lyAdverbRatio0.0021253985122210413
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences135
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences135
mean9.27
std7.37
cv0.795
sampleLengths
018
116
211
34
412
516
620
78
83
913
106
1115
124
1310
144
156
1610
177
189
1910
204
215
223
2310
244
254
2634
2711
2814
2910
3021
314
326
335
344
354
363
3713
384
394
4013
4112
4223
436
442
455
4634
477
488
4910
47.90% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats12
diversityRatio0.34074074074074073
totalSentences135
uniqueOpeners46
36.63% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences91
matches
0"Of course he had."
ratio0.011
26.59% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount44
totalSentences91
matches
0"She wasn’t expecting anyone."
1"She set down the menu"
2"Her hand stopped on the"
3"His voice carried the same"
4"She pressed her forehead against"
5"She didn’t open it wider"
6"He did calculations."
7"She unhooked the chain."
8"He stood in the dim"
9"His blond hair was still"
10"His eyes—one amber, one black—moved"
11"She stepped aside."
12"He didn’t look down."
13"He set the paper bag"
14"His gaze landed on the"
15"She hadn’t seen him since"
16"She’d left a thank-you note"
17"He’d sent back a single"
18"She closed the door, but"
19"She crossed her arms."
ratio0.484
58.90% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount73
totalSentences91
matches
0"The knock came at half"
1"Rory looked up from the"
2"Ptolemy, sprawled across her open"
3"She wasn’t expecting anyone."
4"She set down the menu"
5"The deadbolt scraped as she"
6"The chain rattled."
7"Her hand stopped on the"
8"His voice carried the same"
9"She pressed her forehead against"
10"The wood was cool."
11"The chain bit into her"
12"She didn’t open it wider"
13"Lucien Moreau didn’t do coincidence."
14"He did calculations."
15"Every footstep measured, every question"
16"She unhooked the chain."
17"He stood in the dim"
18"His blond hair was still"
19"The suit was charcoal, not"
ratio0.802
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount3
totalSentences91
matches
0"Before she’d fled to London."
1"Before Lucien had pulled her"
2"Before he’d told her that"
ratio0.033
84.94% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences37
technicalSentenceCount3
matches
0"He stood in the dim bulb light of the hallway, one hand resting on the ivory head of his cane, the other holding a paper bag that smelled of good bread and some…"
1"His eyes—one amber, one black—moved across her face in a slow sweep that felt like a hand tracing a familiar map."
2"And now he was in her kitchen, smelling of rain and sandalwood, telling her that someone had assembled a dossier on her life."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags16
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags10
fancyCount0
fancyTags(empty)
dialogueSentences44
tagDensity0.227
leniency0.455
rawRatio0
effectiveRatio0
84.4779%