Run: 2026-09-10-01M25DRZXY5YG7PWRCVM6VKRFA

Run Details

Duration:
41.4s
Cost:
$0.004242
Provider:
DeepSeek

Model input

System
You are an expert novelist with a gift for vivid, immersive prose. You write in tight third-person limited point of view with a strong narrative voice. Your prose is clean, precise, and engaging — you favor strong verbs, concrete details, and natural-sounding dialogue. You will be given a story bible (codex) containing canonical details about characters, locations, items, and lore. Use these details to ground your writing in the established world. Stay consistent with the codex. Write only the prose of the scene. Do not include titles, chapter headings, markdown formatting, or any commentary before or after the scene.
User/Human
<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> 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.

Model response

AI
The chain caught at three inches, and through the gap she saw a wedge of charcoal wool, a slice of white collar, and the last inch of a jaw she had spent four months not thinking about. “Eva isn’t here,” Rory said. “I know where Eva is.” Lucien’s voice came unhurried, as if the intervening months had been a corridor he’d simply walked down at his own pace. “Edinburgh. Asking questions about a dead man’s library that are going to get her hurt. May I come in, or shall we conduct this through the gap like neighbours?” Rory didn’t move. Ptolemy had other ideas. The tabby came off the arm of the sofa, crossed the room in four silent strides, and poured himself through the three-inch opening to wind around Lucien’s shins, purring like a kettle. Traitor, she thought, and heard the word in her own voice, and hated how fond it sounded. Lucien looked down at the cat. Something in his face loosened a fraction, the way a knot loosens when you stop pulling at it, and that was worse than anything he could have said. Four months of discipline — of not looking up from a delivery run every time a tall blond man crossed Charing Cross Road, of not drafting messages and deleting them, of teaching herself the specific dull ache of getting what she’d asked for — and a cat undid it in a single gesture. “Fine,” she said. She worked the three deadbolts, top to bottom, the way Eva insisted and Rory had come to believe in, and slid the chain out of its groove, and pulled the door wide, and there he was, complete. She’d forgotten how much space he took up. Not physically — he was barely taller than her — but he arrived in a room the way weather does. Rain beaded on the shoulders of the suit and in his slicked-back platinum hair, which had come loose at the temples in a way that suggested he’d been walking a while. The suit was charcoal, tailored, and it had seen better evenings: a dark bloom on the left cuff that wasn’t rain, and the sleeve above it shoved back and refastened badly, one turn instead of three. His cane was hooked over his forearm — the ivory handle catching the hallway bulb, the thing that was not entirely a cane. In his other hand he carried a paper bag, grease gone translucent on the bottom of it. “You’re bleeding,” she said. “Utterly superficial. I’m told you have a first-aid kit somewhere behind thirty years of someone else’s paperwork.” “I have a kitchen, a sofa, and a cat that’s already picked you. Sit down. Don’t touch anything with blood.” He sat. Of course he sat properly, in the hard-backed chair by the window, so that the whole time she was digging through Eva’s cabinets for the kit he could watch her with that mismatched stare — amber on the left, black on the right, and the black one always the one that made her want to look away and never did — and she would have to feel it between her shoulder blades. The flat smelled of cumin and onions rising from the curry house below, and of old paper and cat and Eva’s cold tea, and now of rain and, underneath the rain, faintly, sandalwood and iron. Books everywhere. Scrolls furled with rubber bands, sticky notes in Eva’s furious hand, a magnifying glass, a tin of treats, a mug with a skin on it that Rory had meant to deal with three days ago. “You’ve been here three days,” Lucien said. She found the kit under the sink, behind the recycling. “How do you know that?” “Your coat is folded over the end of the banister the way you fold things when you intend to stay, not visit. There’s a delivery jacket on the back of the door — Golden Empress, I assume Yu-Fei still has you on the late runs. And there’s one mug. You go out, you come back, and no one’s here to mind.” He flexed and unflexed the injured forearm, testing it. “Eva asked you to watch the flat. She’s worried about you and didn’t want to say so.” Rory sat down on the sofa opposite him with the kit across her knees. She didn’t cross the room. That was on purpose. Distance was the only currency she had left, and she wasn’t going to spend it in the first five minutes. “Why did you come, Lucien?” Rain ticked at the window. Downstairs someone dropped a tray and swore cheerfully in Urdu and a table of people laughed. “That night,” he said, “you called me a leech.” “I remember.” “You said you hoped you never saw me again, and I said as you like, and I left.” He turned his head a degree, watching the rain instead of her. “Do you know why I said that?” “Because you’re a coward who dresses well.” “Because it was true. Not the leech.” He was not smiling. “The other part. That I’d sold the street you live on to a man who paid for it. That was true, and I’d have taken the beating for it and gone on. But you said you never wanted to see me again, and I believed you — because I’d spent six weeks showing you exactly what I do for a living and whose hands information passes through, and you still looked at me like something you’d found at the bottom of a bag. I thought the kindest thing I could do was go.” She unwound a length of bandage and wound it back up. “You’re not allowed to be reasonable at me.” “No.” “You’re supposed to have come to apologise.” “I came to warn you.” She looked up. “The buyer was a man called Vance,” Lucien said. “He’s dead. He’s been dead since March, which is not the warning.” He rotated his forearm into the lamplight, and she saw the cut was clean and shallow and deliberate — the kind you take reaching for something that isn’t yours. “The warning is that he wasn’t buying your address for himself. He was buying it for your ex. I gave him a false one. He was annoyed about that. Now he’s dead, and it doesn’t matter, because Evan’s people have been asking three other brokers since spring for the same thing and getting the same nothing, and they haven’t stopped asking. That’s why I came. Someone is still paying to know where you sleep.” He set the paper bag on the table between them. Inside was a phone, new, still sealed in its plastic. “One number in it. Mine. If a car sits outside too long, if a man at the end of the bar asks your name twice, you call it. Not for anything else. I’m not asking.” The clock above the door ticked. Ptolemy jumped onto the arm of the chair and kneaded Lucien’s thigh with small insistent paws, and Lucien let him, one hand resting flat on the cat’s back, careful. Four months, Rory thought. Four months, and that’s the message. Not sorry. Not I should have told you. A phone. “You walked here in the rain with a cut arm,” she said, and her voice came out lower than she’d meant it to. “You could have rung the bell a week ago. You know where I live. You knew where I lived before I did.” She set the kit aside and stood, and crossed the room after all, because standing still had started to feel like a lie. “You’re the most careful man I know, Lucien. So what is it you’re not asking?” He was quiet for a long moment. The loose hair. The ruined cuff. The cane he hadn’t set down even sitting, as though he’d forgotten he was holding it. “Whether you’d let me stay until the rain stops,” he said. “That’s the whole of it. That’s all I’m not asking.” Rory took his arm above the elbow, above the cut, and turned it to the light. Her thumb, without her deciding it, found the small crescent scar on her own left wrist and pressed it flat, the way she did when she was afraid of what she was about to do. He looked at her hand on his sleeve. Then up. “You used to call me Aurora,” she said. “Nobody else does. Say it.” “Not in front of Ptolemy,” he said. “He’ll talk.” And she laughed — one short, undignified sound she couldn’t take back — and did not let go of his arm. Outside the rain kept on, steady and unhurried, with no intention of stopping. “Aurora,” he said, quietly, and only then, and she stayed exactly where she was.
created_at"2026-09-10T10:28:21.57Z" 9/10/2026, 10:28:21 AM
model"deepseek/deepseek-v4.1-flash-20260910"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency971
moderation_latency(null)
generation_time41356
tokens_prompt788
tokens_completion7520
native_tokens_prompt789
native_tokens_completion7029
native_tokens_completion_images(null)
native_tokens_reasoning5107
native_tokens_cached640
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)
usage0.00424167
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1789036101-Iuk9ypBh1y7k7rZMjFqy"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1789036101-LWm4DlPMIfNHysXkUjn8"
upstream_id"31386037-1ef9-414c-b39d-3d0fecc4eefc"
provider_responses
0
endpoint_id"fd104bc8-535a-4d31-a847-a8e402e86a02"
id"31386037-1ef9-414c-b39d-3d0fecc4eefc"
is_byokfalse
latency348
model_permaslug"deepseek/deepseek-v4.1-flash-20260910"
provider_name"DeepSeek"
status200
total_cost0.00424167
cache_discount0.00009408
upstream_inference_cost0
provider_name"DeepSeek"
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
totalTags17
adverbTagCount0
adverbTags(empty)
dialogueSentences37
tagDensity0.459
leniency0.919
rawRatio0
effectiveRatio0
96.58% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1460
totalAiIsmAdverbs1
found
0
adverb"utterly"
count1
highlights
0"utterly"
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)
100.00% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1460
totalAiIsms0
found(empty)
highlights(empty)
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
emotionTells1
narrationSentences65
matches
0"was afraid"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences65
filterMatches(empty)
hedgeMatches
0"started to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences84
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen92
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1472
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions24
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions25
wordCount927
uniqueNames8
maxNameDensity0.76
worstName"Lucien"
maxWindowNameDensity2
worstWindowName"Lucien"
discoveredNames
Lucien7
Rory7
Charing1
Cross1
Road1
Eva4
Urdu1
Four3
persons
0"Lucien"
1"Rory"
2"Eva"
places
0"Charing"
1"Cross"
2"Road"
3"Urdu"
4"Four"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences41
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1472
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences84
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs42
mean35.05
std39.29
cv1.121
sampleLengths
037
15
255
339
417
587
63
737
8135
94
1017
1120
12109
1337
147
1515
1687
1743
185
1921
209
212
2237
237
24104
2519
261
277
285
293
30179
3135
3220
3383
3429
3521
3651
3710
3813
399
4034
4114
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences65
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs155
matches
0"was digging"
1"was holding"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount10
semicolonCount0
flaggedSentences6
totalSentences84
ratio0.071
matches
0"Four months of discipline — of not looking up from a delivery run every time a tall blond man crossed Charing Cross Road, of not drafting messages and deleting them, of teaching herself the specific dull ache of getting what she’d asked for — and a cat undid it in a single gesture."
1"Not physically — he was barely taller than her — but he arrived in a room the way weather does."
2"His cane was hooked over his forearm — the ivory handle catching the hallway bulb, the thing that was not entirely a cane."
3"Of course he sat properly, in the hard-backed chair by the window, so that the whole time she was digging through Eva’s cabinets for the kit he could watch her with that mismatched stare — amber on the left, black on the right, and the black one always the one that made her want to look away and never did — and she would have to feel it between her shoulder blades."
4"“He’s dead. He’s been dead since March, which is not the warning.” He rotated his forearm into the lamplight, and she saw the cut was clean and shallow and deliberate — the kind you take reaching for something that isn’t yours."
5"And she laughed — one short, undignified sound she couldn’t take back — and did not let go of his arm."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount920
adjectiveStacks0
stackExamples(empty)
adverbCount30
adverbRatio0.03260869565217391
lyAdverbCount12
lyAdverbRatio0.013043478260869565
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences84
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences84
mean17.52
std18.49
cv1.055
sampleLengths
037
15
226
329
43
54
632
717
86
928
1053
113
1237
138
1420
1531
1636
1723
1817
194
2017
2120
222
2372
2435
252
2635
277
2810
295
3070
3117
3214
335
344
3520
365
375
3816
399
402
4130
427
437
4411
4593
4611
478
481
497
71.83% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.4880952380952381
totalSentences84
uniqueOpeners41
65.36% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences51
matches
0"Of course he sat properly,"
ratio0.02
78.82% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount18
totalSentences51
matches
0"She worked the three deadbolts,"
1"She’d forgotten how much space"
2"His cane was hooked over"
3"She found the kit under"
4"He flexed and unflexed the"
5"She didn’t cross the room."
6"He turned his head a"
7"He was not smiling"
8"She unwound a length of"
9"She looked up."
10"He rotated his forearm into"
11"He set the paper bag"
12"she said, and her voice"
13"She set the kit aside"
14"He was quiet for a"
15"Her thumb, without her deciding"
16"He looked at her hand"
17"he said, quietly, and only"
ratio0.353
58.04% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount41
totalSentences51
matches
0"The chain caught at three"
1"Lucien’s voice came unhurried, as"
2"Rory didn’t move."
3"Ptolemy had other ideas."
4"The tabby came off the"
5"Traitor, she thought, and heard"
6"Lucien looked down at the"
7"Something in his face loosened"
8"She worked the three deadbolts,"
9"She’d forgotten how much space"
10"Rain beaded on the shoulders"
11"The suit was charcoal, tailored,"
12"His cane was hooked over"
13"The flat smelled of cumin"
14"Scrolls furled with rubber bands,"
15"She found the kit under"
16"He flexed and unflexed the"
17"Rory sat down on the"
18"She didn’t cross the room."
19"That was on purpose."
ratio0.804
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences51
matches(empty)
ratio0
60.44% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences26
technicalSentenceCount3
matches
0"Rain beaded on the shoulders of the suit and in his slicked-back platinum hair, which had come loose at the temples in a way that suggested he’d been walking a …"
1"The suit was charcoal, tailored, and it had seen better evenings: a dark bloom on the left cuff that wasn’t rain, and the sleeve above it shoved back and refast…"
2"His cane was hooked over his forearm — the ivory handle catching the hallway bulb, the thing that was not entirely a cane."
95.59% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags17
uselessAdditionCount1
matches
0"Lucien’s voice came, as if the intervening months had been a corridor he’d simply walked down at his own pace"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags11
fancyCount0
fancyTags(empty)
dialogueSentences37
tagDensity0.297
leniency0.595
rawRatio0
effectiveRatio0
87.5550%