Run: 2026-09-10-01M25DF2BHG05AP9GBJG7PGK98

Run Details

Duration:
53.2s
Cost:
$0.005062
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
Three deadbolts. She threw the top one, then the middle, then the bottom, and kept the chain on, and opened the door two inches wide. Rain came down Brick Lane in sheets. Below her, the curry house pushed cardamom and fried onion up through the floorboards, the smell that lived in Eva's books and in the cat and in every coat Rory owned. On the step, in the middle of it, stood a charcoal suit with a man inside. She looked at him through the gap and said nothing for long enough that the rain filled the silence. "You're bleeding on the mat." "It's a good mat." "So's the blood." She kept her palm flat on the wood. "Eva's in Norfolk." "I know where Eva is. I've known for eleven days." Water ticked off the railings onto the pavement behind him. "I came for you." "Then you wasted the walk." "Ten minutes." "Nine. Outside." Something shifted behind his eyes and shut again. He'd counted the exits already. She'd watched him do that at a door once before, in a different city, before any of it went wrong. Then she pushed the wood and threw the bottom bolt and stood in the dark of the hall with her hand flat on the plaster, listening to him not leave. Ptolemy came out of the kitchen at a waddle, tabby and enormous, and went at the door with both front paws. Claws in the paint. Yowling like the police had arrived. The cat hated everybody. He'd hissed at Silas. He'd hissed at the landlord, the postman, and a pigeon through a closed window. Three weeks of tuna and he still slept at the far end of the sofa with one eye cocked in Rory's direction. She slid the chain off. "Get in before the cat brings the whole street up." Lucien stepped past her and took the hallway at a slant, favouring his left side without admitting to it. He brought rain in with him, and cedar, and the smoke that always sat under his coat, like the ghost of a fire somebody else had put out. Ptolemy sniffed his trouser leg, sat down on his own tail, and stayed there. Rory shut the door and threw all three bolts. The flat stood around them the way Eva had left it: books stacked two deep along the wall, scrolls furled in a bucket by the radiator, a map of something that wasn't London pinned over the desk with red thread strung across the middle of it. A mug of tea had gone cold on top of a stack of notes three days ago and grown a skin. Lucien looked at the mug, then at the coat over the back of the chair, then at Rory. He said nothing about any of it. That was the trouble with him. He filed everything and paid for it later. "Give me the cane." He handed it over. Ivory handle, lacquered shaft, and the thin seam below the collar that most people took for decoration. She leaned it against the wall by the door, out of his reach, and watched him watch it. "You've torn something," she said. "A disagreement about the price of a ledger." "With who?" "With a man who owns a very sharp knife and no patience." He unbuttoned the jacket with his right hand. The left stayed close to his body. "It's not your problem." "You're standing in Eva's kitchen bleeding on her floorboards. That makes it mine." She took a towel off the radiator and threw it at him. He caught it one-handed across the chest without flinching, and the fold of the jacket slipped open and showed her the shirt beneath, dark down the left flank in a way rain doesn't do. "Jacket off." "Rory." "Jacket. Off." He got out of it the slow way, one arm at a time, and folded it over the back of the chair with the lining inward. A man who folded a wet jacket. Then the shirt, and there it was: a crease along the ribs, six inches, black thread through it in stitches too wide and too tight, weeping at the lower end. He'd done it himself. She could tell by the angle of the entry points and by the fact that he was still upright, because any sane person would have paid somebody to do it properly. "You stitched this with a sewing kit." "Eva keeps one in the tin by the sink." A breath. "I borrowed it while you were asleep. Two nights ago." Rory went to the kitchen roll, tore off half of it, folded it, and pressed it against his ribs. "Merde," he said, quiet, in the back of his throat. "English." "Not for that word." His skin was hot under her hand, hotter than a person runs, and she could feel the beat of him under the heel of her palm moving faster than the rest of him was willing to show. He smelled of rain and smoke and Marseille, and he stood very still while she worked, looking down at the top of her head. Eleven days, he'd said. He'd known where Eva was for eleven days. "How long have you been in the country?" "Nine weeks." "You had my number." "I had your number." "And you used it how many times?" "None." "So you sat outside my building instead." She pressed harder than she needed to. "You think I don't see a black car on Drayton Road at two in the morning." He didn't answer that. She looked up. Up close, the amber eye sat on the left and the black one on the right, and she'd never worked out why she always answered the amber one. Old habit. Bad habit. "Why are you in Eva's flat?" "Feeding the cat." "You live above the bar." "The bar has Silas in it." "And Silas asks questions." "Silas asks questions." Lucien's mouth moved, almost a smile, and then didn't. She took her hand and the wad of kitchen roll away and looked at what she'd done, which was nothing. The bleeding had slowed on its own account. Half-demon, she reminded herself. He'd have closed up by morning whether or not anyone held a towel to him. He'd known that when he knocked. "You didn't come here for stitches." "No." "Then say the thing you came to say, because I've got work at six and you're not sleeping on that sofa." He reached past her and turned the tap on and washed his hands, slow, watching the water go pink and then clear. When he spoke, he spoke to the sink. "Barrow Street." The name landed in the flat and sat there, and somewhere behind them the cat got up and walked along the top of the books and knocked nothing over, which for Ptolemy counted as manners. "Say the rest of it." "I gave a man your address." He turned the tap off. Water ran off his fingers. "I had a shipment of ledgers I couldn't lose and a man holding a knife I couldn't take, and I paid him with the only thing on the table, and the only thing on the table was you." "And then?" "And then I drove." "You drove." "I drove." "Four minutes," she said. "I heard the car. I heard it stop, and I heard the door, and I was already out the window by then, stood in the yard with a bread knife and blood down my sleeve." She held up her left hand and turned her wrist over, and there it was, the little crescent scar, pale as a fingernail. "He never touched me. He stood in my kitchen for twenty minutes opening drawers and I watched him through a gap in the curtain like a girl at a wedding." She dropped her hand. "You were four minutes late to a room I'd already left." Silence. Rain on the window. The radiator ticking as it cooled. "Rory—" "Ask me why I opened the door." He looked at her, the amber and the black, and did not ask. "I don't want the reason," she said. "Reasons are cheap. You've got four languages and a suit that costs more than my rent, so you'll have a reason by breakfast and two more by lunch. Save it." "I wasn't going to give you a reason." "Then what." His hand came up and took her wrist, the left one, palm to palm, and his thumb found the crescent scar and settled on it and stayed. His skin was still hot. She did not move her arm. She stood there with her fingers spread against his, and the flat got very small, the rain, the cat, the cold mug, and him, close enough that she could see where the rain had flattened his hair at the temple. Ten weeks she had gone over that morning, the sound of the car and the sound of the door and the sound of him not coming in, and she had told herself every version she could carry. None of them involved him standing in Eva's kitchen with his shirt off and his hand on her wrist, breathing like a man who'd run the whole way. "Nine minutes," she said. "I know." "You're over." Neither of them moved.
created_at"2026-09-10T10:22:56.374Z" 9/10/2026, 10:22:56 AM
model"deepseek/deepseek-v4.1-flash-20260910"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency949
moderation_latency(null)
generation_time53117
tokens_prompt1004
tokens_completion8827
native_tokens_prompt965
native_tokens_completion8384
native_tokens_completion_images(null)
native_tokens_reasoning6439
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)
usage0.005062254
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1789035776-GFeLl1ajffEJsmEkbQxJ"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1789035776-2ua1pP3C7lGRiDzN1XUP"
upstream_id"89d73f2b-1537-40ee-a13c-a8c34269d92b"
provider_responses
0
endpoint_id"fd104bc8-535a-4d31-a847-a8e402e86a02"
id"89d73f2b-1537-40ee-a13c-a8c34269d92b"
is_byokfalse
latency363
model_permaslug"deepseek/deepseek-v4.1-flash-20260910"
provider_name"DeepSeek"
status200
total_cost0.005062254
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
totalTags12
adverbTagCount0
adverbTags(empty)
dialogueSentences64
tagDensity0.188
leniency0.375
rawRatio0
effectiveRatio0
90.37% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1558
totalAiIsmAdverbs3
found
0
adverb"very"
count3
highlights
0"very"
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)
90.37% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1558
totalAiIsms3
found
0
word"silence"
count2
1
word"could feel"
count1
highlights
0"silence"
1"could feel"
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
narrationSentences83
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences83
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences134
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen58
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1558
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions17
unquotedAttributions1
matches
0"When he spoke, he spoke to the sink."
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions23
wordCount1125
uniqueNames11
maxNameDensity0.44
worstName"Rory"
maxWindowNameDensity1.5
worstWindowName"Rory"
discoveredNames
Brick1
Lane1
Eva4
Rory5
Water2
Silas1
London1
Marseille1
Ptolemy3
Silence1
Lucien3
persons
0"Eva"
1"Rory"
2"Water"
3"Silas"
4"Ptolemy"
5"Lucien"
places
0"Brick"
1"Lane"
2"London"
3"Marseille"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences57
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1558
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences134
matches
0"over that morning"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs80
mean19.48
std24.04
cv1.234
sampleLengths
025
154
219
35
44
514
624
75
82
92
1063
1131
1244
135
1410
1561
169
1767
1839
194
2039
215
228
232
2431
2513
2646
272
281
292
3098
317
3221
3319
3410
351
364
3761
3812
398
402
414
424
437
441
4530
4639
476
483
495
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences83
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs182
matches
0"was willing"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences134
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1127
adjectiveStacks0
stackExamples(empty)
adverbCount28
adverbRatio0.024844720496894408
lyAdverbCount1
lyAdverbRatio0.0008873114463176575
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences134
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences134
mean11.63
std11.16
cv0.96
sampleLengths
02
123
27
331
416
519
65
74
811
93
1020
114
125
132
142
158
165
1720
1830
1921
204
216
224
234
2414
2522
265
2710
2819
2928
3014
319
3246
3321
3418
357
366
378
384
394
4017
4118
425
438
442
4520
467
474
4813
4912
60.70% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.39552238805970147
totalSentences134
uniqueOpeners53
90.09% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences74
matches
0"Then she pushed the wood"
1"Then the shirt, and there"
ratio0.027
14.59% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount38
totalSentences74
matches
0"She threw the top one,"
1"She looked at him through"
2"She kept her palm flat"
3"He'd counted the exits already."
4"She'd watched him do that"
5"He'd hissed at Silas."
6"He'd hissed at the landlord,"
7"She slid the chain off."
8"He brought rain in with"
9"He said nothing about any"
10"He filed everything and paid"
11"He handed it over."
12"She leaned it against the"
13"He unbuttoned the jacket with"
14"She took a towel off"
15"He caught it one-handed across"
16"He got out of it"
17"He'd done it himself."
18"She could tell by the"
19"he said, quiet, in the"
ratio0.514
41.08% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount62
totalSentences74
matches
0"She threw the top one,"
1"Rain came down Brick Lane"
2"She looked at him through"
3"She kept her palm flat"
4"Water ticked off the railings"
5"Something shifted behind his eyes"
6"He'd counted the exits already."
7"She'd watched him do that"
8"Ptolemy came out of the"
9"Claws in the paint."
10"The cat hated everybody."
11"He'd hissed at Silas."
12"He'd hissed at the landlord,"
13"She slid the chain off."
14"Lucien stepped past her and"
15"He brought rain in with"
16"Ptolemy sniffed his trouser leg,"
17"Rory shut the door and"
18"The flat stood around them"
19"A mug of tea had"
ratio0.838
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences74
matches(empty)
ratio0
83.33% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences36
technicalSentenceCount3
matches
0"The flat stood around them the way Eva had left it: books stacked two deep along the wall, scrolls furled in a bucket by the radiator, a map of something that w…"
1"His skin was hot under her hand, hotter than a person runs, and she could feel the beat of him under the heel of her palm moving faster than the rest of him was…"
2"None of them involved him standing in Eva's kitchen with his shirt off and his hand on her wrist, breathing like a man who'd run the whole way."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags12
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount1
fancyTags
0"She pressed (press)"
dialogueSentences64
tagDensity0.094
leniency0.188
rawRatio0.167
effectiveRatio0.031
89.0180%