Run: 2026-09-10-01M25DS0W0CANKNQCNZ5ASJXYJ

Run Details

Duration:
42.4s
Cost:
$0.003989
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 third deadbolt caught the way it always did, and she hauled the door open with the chain still on. Lucien Moreau stood in the stairwell, rain flattening his hair into dark streaks across his forehead. His suit hung heavy with water, charcoal gone black at the shoulders, the ivory handle of his cane hooked over one wrist. Both eyes found her at once, one amber, one black, neither giving anything away. “You moved.” She kept the gap at two inches. “I’m minding a cat.” “Eva’s flat. I know.” “Of course you know.” Below them the extractor fan over the curry house groaned out turmeric and burnt onion, and the smell crawled up the stairwell like it paid rent. “She didn’t tell me you were coming,” Rory said. “Eva knows how to leave a door open.” Lucien turned his head and water ran off the point of his jaw. “She flies to Lisbon, hands you her keys, her cat, her three locks. You think that was for Ptolemy.” Ptolemy chose that moment to arrive at her shin, shove his face into the draught from the gap, and push his shoulders through with the conviction of a creature who had never been told no. Lucien looked down at him. The tabby wound once around his soaked trouser leg, left a stripe of fur, sat, and stared up with a slow blink. “You’re being recruited,” she said. “I’ve been recruited before.” Something loosened in her chest that had no business loosening. She unhooked the chain. Not an invitation — the cat was already out in the stairwell and the radiator behind her had given up an hour ago and the wet from his coat was pooling on her landing. He stepped past her. Water came off him in a trail across the carpet, past the cliffs of books stacked against the wall, past the desk with the scrolls pinned flat under cracked coffee cups, into the middle of Eva’s flat, where he stopped and stood, dripping. “Shoes,” she said. He looked down at his own feet like they belonged to someone else. “They’re ruined anyway,” she said. He toed them off, set them side by side against the skirting, and straightened with a hand on the cane. Half a head taller than her in the low room, jacket off at the fit, one button open under his collar where his tie should have been, and she moved to the window because the window was further from him than the chair. “One hundred and nineteen days,” he said. “Don’t.” “You knew the number before I said it.” “I knew the number because I lived it.” The mug of tea on the sill had gone cold two hours ago and she picked it up anyway. “You want credit for counting?” “I want to say it out loud in a room with you in it.” Rain hammered the fire escape. Somewhere on the floor below, a pan hit a tile and somebody swore in Bengali, and the cat came back in through the gap in the door she had left ajar and settled on the arm of the sofa like a judge. “Say the rest, then,” she said. Lucien set the cane against the wall. The handle rang once against the plaster. She knew what sat inside the ivory — a blade thin enough to pass a coin slot — and she knew the sound the blade made coming out, and she hated that her body remembered the sound better than it remembered his face. “I gave a man the street you were living on,” he said. “I know.” “I gave it to him before I knew what he wanted it for. He paid six thousand and a name I’d been chasing two years.” “I know that as well.” “I didn’t come here to tell you what you already know.” “Then what?” She set the mug down hard enough to slop tea over her knuckles. “You want me to say it? Fine. Three in the morning, a knock, a man in the hall with your name in his mouth, me in a towel with a bread knife and no shoes, holding a door that only had one bolt on it then. I said it that night. I said it into a phone that didn’t ring back.” His hand closed around the handle of the cane. Knuckles pale, tendons standing. “I read your message forty times,” he said. “I know. You read it. I watched the little grey ticks turn blue at four in the morning and then I watched nothing at all for four months.” “Rory.” “You don’t get to shorten my name in that voice.” The flat went quiet around them. Even the fan below seemed to drop a register. He looked at her left wrist — bare, the sleeve of her jumper pushed up past the elbow — and the crescent scar sat there in the lamplight like something he had been studying for years and never learned the whole of. “You asked me one thing,” he said. “Tell me it wasn’t you.” “And you didn’t answer.” “I did it. I sold the street. And the reason I didn’t answer is that I knew the moment I told you, you’d ask why, and I’d have to say the truth, which is that I did it for money, in a week when money was simple and you weren’t.” He turned his face to the window, to the rain on the glass, to the yellow streetlamp smeared across the pane. “So I chose the silence. I put a number on which of us would be hurt less by it and the number came out on your side, and I took that as permission.” “It wasn’t yours to take.” “No.” “Say that again.” “No.” She laughed. It came out of her bent and wrong, and she put the back of her hand against her mouth to stop it, and Ptolemy flicked his tail on the arm of the sofa with the patience of an animal who had heard worse from better. “You look like hell,” she said. “I came from Deptford. There was a funeral and then there was rain and then there was your address.” “You could have waited for a taxi.” “I did. Then I got out of it on Whitechapel Road and walked.” She considered that. She considered the twelve minutes of walking in this weather, and what a man had to want before he chose that over a dry back seat, and she turned the mug on the sill until the handle pointed at the wall. “Why now,” she said. “Not the number of days. Not the counting. Why today.” He worked one cuff loose, then the other. Water spotted the carpet between his socks. The amber eye caught the lamp; the black one kept everything. “Because I ran out of days I could stand it.” The radiator ticked. The rain kept on. She stood with her hip against the desk and her arms crossed and her jumper sleeve damp from the sill, and she did not say come here, and she did not say get out, and she watched him standing in the middle of a flat that smelled of curry and old paper with his ruined shoes lined up neat against the wall, dripping, waiting, saying nothing at all. She picked the mug back up, poured the cold tea into the sink, and turned her back to fill the kettle.
created_at"2026-09-10T10:28:22.533Z" 9/10/2026, 10:28:22 AM
model"deepseek/deepseek-v4.1-flash-20260910"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency522
moderation_latency(null)
generation_time42365
tokens_prompt1004
tokens_completion7019
native_tokens_prompt965
native_tokens_completion6595
native_tokens_completion_images(null)
native_tokens_reasoning5039
native_tokens_cached768
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)
usage0.003988854
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1789036102-kYkZtFTJCmpQOyEOqdF3"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1789036102-AWsE7Zz6uZH2FpIPVhEp"
upstream_id"5874f79f-baab-43b8-bac6-c462e97ebfc0"
provider_responses
0
endpoint_id"fd104bc8-535a-4d31-a847-a8e402e86a02"
id"5874f79f-baab-43b8-bac6-c462e97ebfc0"
is_byokfalse
latency331
model_permaslug"deepseek/deepseek-v4.1-flash-20260910"
provider_name"DeepSeek"
status200
total_cost0.003988854
cache_discount0.000112896
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
totalTags15
adverbTagCount0
adverbTags(empty)
dialogueSentences45
tagDensity0.333
leniency0.667
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1245
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)
91.97% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1245
totalAiIsms2
found
0
word"silence"
count1
1
word"flicked"
count1
highlights
0"silence"
1"flicked"
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
emotionTells0
narrationSentences53
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences53
filterMatches(empty)
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences83
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen72
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1250
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions19
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions10
wordCount813
uniqueNames6
maxNameDensity0.49
worstName"Lucien"
maxWindowNameDensity1.5
worstWindowName"Lucien"
discoveredNames
Moreau1
Lucien4
Ptolemy2
Eva1
Rain1
Bengali1
persons
0"Moreau"
1"Lucien"
2"Ptolemy"
3"Eva"
4"Rain"
places
0"Bengali"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences33
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1250
matches(empty)
46.18% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount3
totalSentences83
matches
0"chose that moment"
1"hated that her"
2"chose that over"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs56
mean22.32
std23.04
cv1.032
sampleLengths
020
152
22
311
44
54
626
79
840
935
1027
115
124
1348
1447
153
1613
1768
187
191
208
2132
2214
2347
246
2557
2612
272
2825
295
3011
3176
3213
338
3428
351
3610
3757
3812
394
40104
415
421
433
441
4547
466
4719
487
4913
98.64% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences53
matches
0"been told"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs135
matches
0"was pooling"
5.16% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount1
flaggedSentences4
totalSentences83
ratio0.048
matches
0"Not an invitation — the cat was already out in the stairwell and the radiator behind her had given up an hour ago and the wet from his coat was pooling on her landing."
1"She knew what sat inside the ivory — a blade thin enough to pass a coin slot — and she knew the sound the blade made coming out, and she hated that her body remembered the sound better than it remembered his face."
2"He looked at her left wrist — bare, the sleeve of her jumper pushed up past the elbow — and the crescent scar sat there in the lamplight like something he had been studying for years and never learned the whole of."
3"The amber eye caught the lamp; the black one kept everything."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount808
adjectiveStacks0
stackExamples(empty)
adverbCount16
adverbRatio0.019801980198019802
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences83
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences83
mean15.06
std15.64
cv1.038
sampleLengths
020
116
222
314
42
57
64
74
84
926
109
1121
1219
1335
145
1522
165
174
1810
194
2034
214
2243
233
2413
255
2620
2743
287
291
308
3127
325
3314
345
3542
366
377
387
3943
4012
412
4225
435
4411
4515
4661
479
484
498
58.63% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.40963855421686746
totalSentences83
uniqueOpeners34
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences41
matches
0"Somewhere on the floor below,"
1"Even the fan below seemed"
ratio0.049
54.15% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount17
totalSentences41
matches
0"His suit hung heavy with"
1"She kept the gap at"
2"She unhooked the chain."
3"He stepped past her."
4"He looked down at his"
5"He toed them off, set"
6"She knew what sat inside"
7"She set the mug down"
8"His hand closed around the"
9"He looked at her left"
10"He turned his face to"
11"It came out of her"
12"She considered that."
13"She considered the twelve minutes"
14"He worked one cuff loose,"
15"She stood with her hip"
16"She picked the mug back"
ratio0.415
33.17% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount35
totalSentences41
matches
0"The third deadbolt caught the"
1"Lucien Moreau stood in the"
2"His suit hung heavy with"
3"Both eyes found her at"
4"She kept the gap at"
5"Lucien turned his head and"
6"Ptolemy chose that moment to"
7"Lucien looked down at him."
8"The tabby wound once around"
9"Something loosened in her chest"
10"She unhooked the chain."
11"He stepped past her."
12"Water came off him in"
13"He looked down at his"
14"He toed them off, set"
15"The mug of tea on"
16"Lucien set the cane against"
17"The handle rang once against"
18"She knew what sat inside"
19"She set the mug down"
ratio0.854
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences41
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences21
technicalSentenceCount1
matches
0"She stood with her hip against the desk and her arms crossed and her jumper sleeve damp from the sill, and she did not say come here, and she did not say get ou…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags15
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags11
fancyCount0
fancyTags(empty)
dialogueSentences45
tagDensity0.244
leniency0.489
rawRatio0
effectiveRatio0
86.2637%