Run: 2026-02-19-01KHT0ABWM8HP2B75BC9JCM47A

Run Details

Duration:
49.6s
Cost:
$0.000884
Provider:
AtlasCloud

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 three deadbolts slid back with heavy clunks. Aurora pulled the door open, her delivery bag still slung over one shoulder, the scent of cumin and turmeric clinging to her clothes from the Golden Empress. Lucien Moreau leaned against the doorframe of Eva’s cramped Brick Lane flat, his silhouette cutting a sharp line against the dim hallway light. He wasn’t supposed to be here. He was never supposed to be here. “Rory.” His voice was a low rasp, the single syllable carrying the weight of the six months since she’d last seen him. Her knuckles turned white on the door edge. “You’re lost, Luc. This isn’t your side of the river.” “I have a proposition.” “I’m not in the business anymore. We settled that.” She made to shut the door. His ivory-handled cane came up, not to block it, but to rest gently against the wood. A polite, immovable barrier. The charcoal wool of his sleeve brushed her wrist, the one with the small crescent scar. “It is not that kind of business. It is a personal favor. And it concerns Eva.” A chill, sharper than the draft in the hall, went through her. She looked past him, down the empty stairwell. “Eva’s in Edinburgh. Research.” “She was. She returned to London this morning. She went directly to the British Library. And then she vanished.” His heterochromatic eyes—one amber, one black as a starless night—held hers. “There are signs. Unpleasant ones. I believe she stumbled into something she should not have seen.” Aurora’s cool-headed logic warred with a sudden, visceral fear. Eva, her anchor, the reason she’d fled Cardiff. Gone. She stepped back, a silent, reluctant admission. Lucien moved inside, his presence immediately making the book-cluttered flat feel smaller, more charged. He closed the door behind him, the three deadbolts engaging with soft, final clicks under his practiced hand. He took in the chaos—the scrolls spilling off the kitchen table, the towers of texts on the floor, the tabby cat Ptolemy watching balefully from a top shelf. His gaze returned to her. “You look tired.” “I deliver noodles for a living. Tired is the baseline.” She dropped her bag, not offering him a seat. There wasn’t one clear anyway. “What signs?” “A residual energy signature at her last known location. Metallic, cold. It tastes of sealed tombs and broken oaths.” He spoke of taste as others spoke of sight. “It is demonic in origin, but not of my father’s house. Something older. Hungrier.” “And you came to me why? I’m a law school dropout with a bicycle and a part-time job.” A faint, humorless smile touched his lips. “You are Aurora Carter. Who, when cornered in an alley by a ghoul last autumn, used a stolen traffic cone and a lighter filled with habanero oil to blind it before breaking its kneecaps with a tyre iron. Your thinking is… unorthodox. Eva needs that. I need that.” The reference to that night, a night that had ended with them in his private rooms above the gambling den, his hands carefully cleaning the ghoul’s ichor from her face, his mouth dangerously close to hers before they’d both pulled away—it hung between them now, a ghost in the cramped space. “We didn’t part as friends, Luc.” “We did not part as enemies. We parted as two people who recognized that entanglement was a risk neither could afford. The calculus has changed. Eva is the variable.” She crossed her arms, a defensive gesture she instantly regretted. “You have a network. Spirits, imps, witches on retainer.” “They are looking. But they will not care for her as you do. And they lack your particular perspective.” He shifted his weight slightly onto the cane. “I am asking you to work with me. Just until she is found.” The word ‘work’ did nothing to dispel the memory of his fingers tracing the line of her jaw, the forbidden heat that had flared and been ruthlessly banked. The hurt was quieter, a dull ache of something that had been almost kindled, then snuffed out by mutual, pragmatic fear. “What’s in it for you?” she asked, her voice harder than she intended. “Eva’s a good researcher, but she’s not connected to your world. Not really.” Lucien was silent for a long moment. He reached into his inner suit pocket and withdrew a small, faded photograph, holding it out. It showed a younger Eva, maybe nineteen, laughing with a dark-haired young man on the steps of the Bodleian. The man had Lucien’s sharp cheekbones, his same severe mouth softened by a genuine smile. “His name was Julien,” Lucien said, the name leaving his lips with a soft, almost painful precision. “My younger brother. Fully human. He wanted to be an archivist. He and Eva were… close, for a time. At university. He died five years ago. A mundane car accident. Or so it was made to appear. Eva never knew what he was. Who I was. She only knew she lost a friend.” Aurora took the photo, the edges worn soft. She looked from the boy’s face to Lucien’s, seeing the resemblance now, seeing the loss etched in the new lines around his eyes. This was the unsaid thing. The anchor for his impeccable calm. “You never told her.” “It was safer. For her. After Julien, I made it my business to watch from a distance. To ensure her curiosity did not lead her into the same shadows that consumed him.” He took the photo back, slipping it away. “I have failed in that. So now I am asking for your help. Not as a fixer. As a man who owes a debt to his brother’s memory.” The flat was dead quiet. Ptolemy jumped down from his shelf, weaving around Lucien’s tailored trousers, a silent, furry judgment. Aurora watched the cat, buying time, her mind racing through the implications, the dangers, the sheer insanity of being near Lucien Moreau again. “What’s the first move?” Some of the rigid tension left his shoulders. “We go to the Library. To the last place she was seen. I can trace the signature more precisely with you there.” “Why with me?” “Because you are not magical. You are a void. A quiet place in the noise. The signature may cling to you where it would avoid me. It is a theory.” “Great. I’m supernatural bait.” “You are intelligent, quick, and stubborn. The bait is incidental.” He offered a slight, real smile this time. It changed his face, made him look younger, more like the brother in the photo. She grabbed her leather jacket from the back of a chair. “We take my bike. It’s faster through traffic.” “The bicycle?” His polished demeanor cracked for a second. “You got a better idea? Your car screams for attention. Mine whispers.” She headed for the door, unlocking the deadbolts. “And if we’re doing this, we do it my way. No secrets, no half-truths. You tell me everything you know, the second you know it.” He followed her onto the narrow landing. “That was always the problem between us, Rory. You demanded everything. I am built on secrets.” She turned, looking up at him, the faint light from the flat catching the platinum of his hair, the strange duality of his eyes. “Then consider this your chance to learn a new foundation. Starting now.” She started down the stairs, not waiting to see if he followed. His footsteps, measured and solid alongside the soft tap of his cane, echoed behind her all the way down to the street.
created_at"2026-02-19T03:50:22.878Z" 2/19/2026, 3:50:22 AM
model"deepseek/deepseek-v3.2-20251201"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1706
moderation_latency(null)
generation_time49512
tokens_prompt1034
tokens_completion1942
native_tokens_prompt939
native_tokens_completion1683
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"
usage0.00088368
router(null)
provider_responses
0
endpoint_id"3570a950-b80f-4acd-bb92-8e1c1c51fafc"
id"7a7443bb9ba74816bc1a8e2c03b29fc5"
is_byokfalse
latency1706
model_permaslug"deepseek/deepseek-v3.2-20251201"
provider_name"AtlasCloud"
status200
api_type"completions"
id"gen-1771473022-5NTbL5LxPsX445Wo0zSy"
upstream_id"7a7443bb9ba74816bc1a8e2c03b29fc5"
total_cost0.00088368
cache_discount(null)
upstream_inference_cost0
provider_name"AtlasCloud"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags12
adverbTagCount0
adverbTags(empty)
dialogueSentences39
tagDensity0.308
leniency0.615
rawRatio0
effectiveRatio0
80.31% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1270
totalAiIsmAdverbs5
found
0
adverb"gently"
count1
1
adverb"carefully"
count1
2
adverb"slightly"
count1
3
adverb"really"
count1
4
adverb"precisely"
count1
highlights
0"gently"
1"carefully"
2"slightly"
3"really"
4"precisely"
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)
48.82% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1270
totalAiIsms13
found
0
word"weight"
count2
1
word"chill"
count1
2
word"charged"
count1
3
word"variable"
count1
4
word"tracing"
count1
5
word"etched"
count1
6
word"ensure"
count1
7
word"racing"
count1
8
word"tension"
count1
9
word"footsteps"
count1
10
word"measured"
count1
11
word"echoed"
count1
highlights
0"weight"
1"chill"
2"charged"
3"variable"
4"tracing"
5"etched"
6"ensure"
7"racing"
8"tension"
9"footsteps"
10"measured"
11"echoed"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"knuckles turned white"
count1
highlights
0"knuckles turned white"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences55
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences55
filterMatches
0"look"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences82
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen53
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1260
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions9
unquotedAttributions0
matches(empty)
66.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions25
wordCount678
uniqueNames11
maxNameDensity1.18
worstName"Lucien"
maxWindowNameDensity3
worstWindowName"Lucien"
discoveredNames
Golden1
Empress1
Moreau2
Eva3
Brick1
Lane1
Aurora4
Cardiff1
Ptolemy2
Lucien8
Bodleian1
persons
0"Moreau"
1"Eva"
2"Aurora"
3"Ptolemy"
4"Lucien"
places
0"Golden"
1"Brick"
2"Lane"
3"Cardiff"
globalScore0.91
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences48
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.794
wordCount1260
matches
0"not to block it, but to rest gently against the wood"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences82
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs40
mean31.5
std17.96
cv0.57
sampleLengths
035
136
222
318
44
515
652
724
846
957
1036
1126
1242
1318
1455
1551
166
1729
1819
1940
2049
2126
2257
2370
2442
254
2668
2743
284
2930
303
3130
324
3333
3419
359
3645
3723
3836
3934
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences55
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs106
matches(empty)
38.33% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount0
flaggedSentences3
totalSentences82
ratio0.037
matches
0"“She was. She returned to London this morning. She went directly to the British Library. And then she vanished.” His heterochromatic eyes—one amber, one black as a starless night—held hers."
1"He took in the chaos—the scrolls spilling off the kitchen table, the towers of texts on the floor, the tabby cat Ptolemy watching balefully from a top shelf."
2"The reference to that night, a night that had ended with them in his private rooms above the gambling den, his hands carefully cleaning the ghoul’s ichor from her face, his mouth dangerously close to hers before they’d both pulled away—it hung between them now, a ghost in the cramped space."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount621
adjectiveStacks0
stackExamples(empty)
adverbCount18
adverbRatio0.028985507246376812
lyAdverbCount10
lyAdverbRatio0.01610305958132045
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences82
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences82
mean15.37
std10.82
cv0.704
sampleLengths
08
127
223
36
47
522
68
710
84
915
1016
114
1216
1316
1412
158
164
1730
1816
199
208
211
227
2314
2418
2528
265
273
2819
295
302
3128
3214
3318
347
3548
3651
376
3829
3910
409
4127
4213
4328
4421
4513
4613
477
4816
4919
50.81% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.34146341463414637
totalSentences82
uniqueOpeners28
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences53
matches(empty)
ratio0
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount30
totalSentences53
matches
0"He wasn’t supposed to be"
1"He was never supposed to"
2"His voice was a low"
3"Her knuckles turned white on"
4"She made to shut the"
5"His ivory-handled cane came up,"
6"She looked past him, down"
7"His heterochromatic eyes—one amber, one"
8"She stepped back, a silent,"
9"He closed the door behind"
10"He took in the chaos—the"
11"His gaze returned to her."
12"She dropped her bag, not"
13"He spoke of taste as"
14"She crossed her arms, a"
15"He shifted his weight slightly"
16"she asked, her voice harder"
17"He reached into his inner"
18"It showed a younger Eva,"
19"She looked from the boy’s"
ratio0.566
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount52
totalSentences53
matches
0"The three deadbolts slid back"
1"Aurora pulled the door open,"
2"Lucien Moreau leaned against the"
3"He wasn’t supposed to be"
4"He was never supposed to"
5"His voice was a low"
6"Her knuckles turned white on"
7"She made to shut the"
8"His ivory-handled cane came up,"
9"A polite, immovable barrier."
10"The charcoal wool of his"
11"A chill, sharper than the"
12"She looked past him, down"
13"His heterochromatic eyes—one amber, one"
14"Aurora’s cool-headed logic warred with"
15"Eva, her anchor, the reason"
16"She stepped back, a silent,"
17"Lucien moved inside, his presence"
18"He closed the door behind"
19"He took in the chaos—the"
ratio0.981
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences53
matches(empty)
ratio0
49.69% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences23
technicalSentenceCount3
matches
0"The reference to that night, a night that had ended with them in his private rooms above the gambling den, his hands carefully cleaning the ghoul’s ichor from h…"
1"The hurt was quieter, a dull ache of something that had been almost kindled, then snuffed out by mutual, pragmatic fear."
2"Aurora watched the cat, buying time, her mind racing through the implications, the dangers, the sheer insanity of being near Lucien Moreau again."
41.67% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags12
uselessAdditionCount2
matches
0"She dropped, not offering him a seat"
1"she asked, her voice harder than she intended"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount1
fancyTags
0"He spoke (speak)"
dialogueSentences39
tagDensity0.077
leniency0.154
rawRatio0.333
effectiveRatio0.051
75.8766%