Run: 2026-10-20-01M5C6ENWC12ERNBA45QQWRP6K

Run Details

Duration:
15.2s
Cost:
$0.000906
Provider:
InferenceNet

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 stuck halfway, the way it always did. Rory shouldered the door until metal gave a grudging click, and there he stood with the light from the stairwell behind him. Lucien Moreau, dressed as if the East End were an inconvenience he had chosen to forgive. Charcoal suit, no umbrella, platinum hair slicked back and shining with rain. The ivory cane hung from his grip like something he had meant to leave behind. Ptolemy beat her to a reaction. The tabby shot off the arm of the sofa, claws skidding over a stack of Eva's scrolls, and vanished under the bed. "Budge up." A hand on Lucien's chest. Push. He stepped back onto the landing without a word. She got the door shut behind them both. Rory folded her arms across the vest Eva had bought her for Christmas, the one printed with a cartoon banshee singing karaoke. "You've got four seconds." "You changed the locks." "You noticed." "Three of them now." The corner of his mouth moved. "That's a lot of faith in hardware." "Forty past eleven at night, Lucien. Eva's on a nightshift. There's nothing in here you can buy, sell, or blackmail out of anyone, so say what you came for or get off my stairs." He looked past her shoulder at the flat, at the sliding towers of books, the pinned maps, the cold cup of tea balanced on a dictionary. "You're staying here." "Cat-sitting." "You hate cats." "I like this one. He doesn't talk." Rainwater dripped from his hairline onto his collar. He didn't wipe it. "I need the Michaelmas ledger." "Gone." "Rory." "End of that sentence." She pulled the door open a hand's width and pointed with her chin. "Downstairs, three flights, out the back door into Hanbury Street. There's a skip. Check it." "Your name is on the last page." The door came to a stop. Somewhere below a curry house extractor fan thundered away, pushing the smell of onions and cardamom through the walls. "Written in your brother's hand. He signed for three consignments of salt-glass over the summer. Which puts you on a list of people attractive to men who want to know where the salt-glass went." Lucien tilted his head, the amber eye catching the hall light, the black one flat as a pebble. "Do you actually want to check the skip?" "I didn't sign anything. I moved boxes because Yu-Fei pays me forty quid a shift." "And one of those boxes sat in the boot of your employer's car for six hours while your brother rang every man he owed money." Her jaw worked. "He's not my brother. He's Eva's brother. And I've not seen him since August." "Shane hasn't seen a lot of people since August." He said it flatly. "Two of them won't be able to." The stairwell bulb buzzed and clicked off, and the landing went to the dim yellow of the light two floors down. She watched his shape in it, the broad line of his shoulders, the way he stood with the cane planted and the weight tipped onto his left leg. The leg she'd bandaged in a back room above the Golden Empress with the cloth off her own table. "Come in." She swallowed. "Before someone sees you and decides you're collectable." He stepped inside, and she shut the door. One bolt. Two. Three. "Boots off. Eva's got a thing about the carpet." He crouched with a small grunt he didn't bother to hide and set his boots by the door with the laces tucked inside, and the cane went into the umbrella stand as though its owner were going to be here in the morning. "You look thin," she said. "In my profession, that passes for a compliment." "Wasn't one." She pulled the lid off a biscuit tin, looked at the contents, and put the lid back. "Start with the night you left." He walked the length of the bookcase, fingertips skimming spines. "Which night." "Don't." "Eva's sofa, the twenty-third of June, you made a bargain of me and then didn't answer for eleven days." He turned his back to the shelves. "That's the night you mean." "I had a phone." "You had a phone." He nodded slowly. "And I had a client who put a hole in my rib and paid for the surgeon in cash, no name. It was a good week for silence." Her hand went to her wrist, to the small crescent scar. "You could have sent one word," she said. "I'd have come." "You'd have come to a room where they don't ask who you are, only what you're carrying." He gestured at the flat with his open palm. "This. All of this. Three locks and a cat and a beehive of paper. It's the most sensible thing you own, and you bought it because a man once put his hands on you and you couldn't open a door fast enough." She stood very still. "That's not what this is." "It's what all of it is." He walked the aisle between the books, and the floorboard complained under him, and he stopped at the low table and the cup of cold tea. "You put that city behind you and picked up a new one, and it was the right choice. Would you have made it if I'd been at the end of your phone?" The extractor fan outside stopped with a shudder. In the quiet a police siren turned the corner and went away down Brick Lane. "No," she said. He straightened. "So." His voice came down half a step. "Now you know why I let the silence grow." "That's not—" Rory pressed the heels of her hands to her eyes and dragged them down her face. "That is not a thing one gets to decide for someone else." She crossed the floor and got a fistful of his lapel. The wet wool was cold under her fingers. He didn't pull back. The black eye held her, and the amber one didn't. "You didn't want to be the reason," she said. "Now you're standing in Eva's flat asking me for murder evidence and there's a cheque's worth of salt-glass in your pocket somewhere. Choose, Lucien. Now or in the morning, and either way you move before I get my coat." "Sit down." His hand came up over hers. Not quite holding. "The ledger puts your name near the bottom of a page that three men I know are reading this week. I'll need a day. Two, if the first one discourages me." "Two days." She let go of the lapel, and smoothed it, and left her hand there. "You can sleep on Eva's sofa. Ptolemy will be furious. I'm going to make you talk before either of us sleeps." "I can't promise my answers are any good." "Then give me the bad ones." His hand settled warm over hers, and the flat creaked and settled around them. Under the bed, the tabby gave one low, aggrieved meow.
created_at"2026-10-20T08:22:10.066Z" 10/20/2026, 8:22:10 AM
model"deepseek/deepseek-v4.1-flash-20261017"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency107
moderation_latency(null)
generation_time15152
tokens_prompt1004
tokens_completion1880
native_tokens_prompt940
native_tokens_completion1791
native_tokens_completion_images(null)
native_tokens_reasoning264
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"
service_tier(null)
usage0.000906188
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1792484530-JE6IMUe6RStnxEoeTR2J"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1792484530-BMCAlvh5agx8m5ZLYi8k"
upstream_id"gv2_pluIayfY6hOVBRhP9iy66"
provider_responses
0
endpoint_id"4231aea9-73af-4a2f-bd14-660b1d8b13b2"
id"gv2_pluIayfY6hOVBRhP9iy66"
is_byokfalse
latency107
model_permaslug"deepseek/deepseek-v4.1-flash-20261017"
provider_name"InferenceNet"
status200
total_cost0.000906188
cache_discount0.000064512
upstream_inference_cost0
provider_name"InferenceNet"
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
totalTags18
adverbTagCount1
adverbTags
0"He nodded slowly [slowly]"
dialogueSentences58
tagDensity0.31
leniency0.621
rawRatio0.056
effectiveRatio0.034
91.47% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1172
totalAiIsmAdverbs2
found
0
adverb"slowly"
count1
1
adverb"very"
count1
highlights
0"slowly"
1"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)
82.94% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1172
totalAiIsms4
found
0
word"thundered"
count1
1
word"weight"
count1
2
word"silence"
count2
highlights
0"thundered"
1"weight"
2"silence"
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
narrationSentences57
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences57
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences96
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen54
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1172
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions11
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions17
wordCount603
uniqueNames12
maxNameDensity0.5
worstName"Lucien"
maxWindowNameDensity1.5
worstWindowName"Lucien"
discoveredNames
Moreau1
East1
End1
Eva2
Lucien3
Push1
Christmas1
Golden1
Empress1
Brick1
Lane1
Rory3
persons
0"Moreau"
1"Eva"
2"Lucien"
3"Rory"
places
0"East"
1"End"
2"Brick"
3"Lane"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences39
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1172
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences96
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs56
mean20.93
std17.73
cv0.847
sampleLengths
032
143
228
325
426
54
62
717
834
926
103
111
123
137
1417
151
161
1732
187
1925
2060
2115
2225
2317
2420
2568
2612
2712
289
2943
305
318
3225
3312
341
3531
364
3735
3811
3911
4068
414
425
4364
4423
453
462
4717
4830
4933
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences57
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs100
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences96
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount603
adjectiveStacks0
stackExamples(empty)
adverbCount11
adverbRatio0.01824212271973466
lyAdverbCount2
lyAdverbRatio0.003316749585406302
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences96
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences96
mean12.21
std10.59
cv0.868
sampleLengths
010
122
216
312
415
56
622
77
81
99
108
1122
124
134
142
1510
167
1734
1826
193
201
213
227
238
244
255
261
271
2817
2915
307
316
3219
3352
348
3515
3625
373
3814
3913
407
4121
4228
4319
444
458
468
472
481
491
78.47% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.4895833333333333
totalSentences96
uniqueOpeners47
70.92% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences47
matches
0"Somewhere below a curry house"
ratio0.021
15.74% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount24
totalSentences47
matches
0"He stepped back onto the"
1"She got the door shut"
2"He looked past her shoulder"
3"He didn't wipe it."
4"She pulled the door open"
5"Her jaw worked."
6"He said it flatly"
7"She watched his shape in"
8"He stepped inside, and she"
9"He crouched with a small"
10"She pulled the lid off"
11"He walked the length of"
12"He turned his back to"
13"He nodded slowly"
14"Her hand went to her"
15"He gestured at the flat"
16"She stood very still."
17"He walked the aisle between"
18"His voice came down half"
19"She crossed the floor and"
ratio0.511
2.55% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount43
totalSentences47
matches
0"The third deadbolt stuck halfway,"
1"Rory shouldered the door until"
2"Lucien Moreau, dressed as if"
3"Charcoal suit, no umbrella, platinum"
4"The ivory cane hung from"
5"Ptolemy beat her to a"
6"The tabby shot off the"
7"A hand on Lucien's chest"
8"He stepped back onto the"
9"She got the door shut"
10"Rory folded her arms across"
11"The corner of his mouth"
12"He looked past her shoulder"
13"Rainwater dripped from his hairline"
14"He didn't wipe it."
15"She pulled the door open"
16"The door came to a"
17"Lucien tilted his head, the"
18"Her jaw worked."
19"He said it flatly"
ratio0.915
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences47
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences20
technicalSentenceCount0
matches(empty)
97.22% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags18
uselessAdditionCount1
matches
0"He walked, and the floorboard complained under him, and he stopped at the low table and the cup of cold tea"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount1
fancyTags
0"Rory pressed (press)"
dialogueSentences58
tagDensity0.103
leniency0.207
rawRatio0.167
effectiveRatio0.034
87.9772%