Run: 2026-02-19-01KHTXQKSVQY2CPJKW8087QVAE

Run Details

Duration:
1m 4s
Cost:
$0.001022
Provider:
Novita

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 first knock was soft. Aurora ignored it, thinking it was one of the neighbours. The second was firm, three deliberate raps that echoed in the quiet of the flat. Ptolemy, sprawled across a pile of Eva’s research on Atlantean water sigils, lifted his head and blinked. She wasn’t expecting anyone. Eva was in Edinburgh until Sunday. No one else knew she was house-sitting. The curry house below was closed for its mid-afternoon lull. The silence after the knocks was absolute. Aurora padded to the door, the worn floorboards cool under her socks. She peered through the peephole, her breath catching in her throat. Lucien Moreau stood on the narrow landing, backlit by the dim hall bulb. He was a study in monochrome against the faded floral wallpaper: a charcoal suit, a crisp white shirt, that platinum hair slicked back with its usual severe precision. One gloved hand rested on the ivory head of his cane. He was looking not at the door, but down the stairwell, his profile sharp and unreadable. Her fingers hesitated over the top deadbolt. The metal was cold. She hadn’t seen him in six months, not since the messy end of the Blackwood affair. There had been a bottle of expensive bourbon, a bitter argument about trust, and a slamming door. Things had been said. Things she’d replayed in her head on too many sleepless nights. She slid the bolt back. The sound was loud in the hush. The second lock followed, then the third. She opened the door just enough to fill the gap with her body, not an invitation. “Lucien.” He turned his head. Those mismatched eyes—amber and bottomless black—took her in. There was no surprise in them. He’d known she’d be here. “Aurora.” His voice was the same, a low baritone that held the ghost of a French accent. It did things to her spine she wished it wouldn’t. “May I come in?” “Why?” “Business.” “I’m not in that business anymore. You made that quite clear.” A faint, almost imperceptible tension tightened the skin around his eyes. “It is not my business. It is yours. May I come in, or would you prefer to have this conversation on your friend’s doorstep?” She wanted to slam the door. The urge was a hot, sharp thing in her chest. Instead, she stepped back, pulling the door wider in silent, resentful acquiescence. He entered, bringing with him the scent of cold city air, expensive wool, and sandalwood. He filled the cramped space of Eva’s entryway, making the towers of books seem even more precarious. He didn’t move further in, just surveyed the chaotic living room with a slow, sweeping glance that missed nothing. Ptolemy gave a low mrrow and jumped down, weaving around Lucien’s ankles before darting into the bedroom. “Charming,” Lucien remarked. “What do you want, Lucien?” He finally looked directly at her, his gaze a physical weight. “You are house-sitting for Eva Price. She is in Edinburgh, presenting a paper on comparative esoteric linguistics at the university.” “You’re keeping tabs on my friends now?” “I keep tabs on everything. It is what I do.” He leaned his cane against a stack of grimoires. “Three nights ago, a man was pulled from the Thames near Wapping. His identification said he was one Marcus Hill, a freelance archivist. The police have ruled it a tragic accident. The man was drunk, he fell in.” Aurora crossed her arms. “And?” “Marcus Hill was not an archivist. He was a procurer. A finder of rare and specific objects. And he was stone-cold sober, because he worked for me.” Lucien’s voice was flat, stripped of its usual polished charm. “He was retrieving an item for a client. An item that went missing from his possession before he went into the water.” “I’m sorry for your loss,” she said, and meant it, despite everything. “But I don’t see what this has to do with me.” “The item was a book. A very old, very singular book. Its last known location, before it entered the shadow market, was the restricted collection of Cardiff University’s pre-law library. A collection accessed by only a handful of post-graduate students approximately seven years ago. One of them was named Aurora Carter.” The air left her lungs. The noise of Brick Lane—the distant hum of traffic, a shout from a passerby—seemed to fade into a muffled roar. She could see the library, the green-shaded lamps, the smell of dust and old paper. Her father’s relentless pressure, the law texts she’d hated, the one strange, incongruous volume she’d found misfiled and spent a week puzzling over just for the thrill of something different. “The *Codex Letum*,” she whispered. Lucien’s expression didn’t change, but something shifted in the atmosphere between them, a current clicking on. “So you do remember.” “It was a theoretical treatise on jurisprudential structures in extinct civilizations. Written in a cipher. I never cracked it.” “It is not a theoretical treatise. It is a ledger. And the cipher is not a linguistic puzzle. It is a binding script.” He took a single step closer. The space between them crackled. “The client who wants it back is not someone you disappoint. Marcus’s death was a message. A messy one. They will trace his steps. They will find the access logs from Cardiff. They will find you.” She laughed, a short, brittle sound. “And you’re here to warn me? How charitable.” “I am here,” he said, his voice dropping, “because you are the only person I have ever met who looked at that book and saw a puzzle instead of a weapon. Because Marcus is dead, my professional reputation is hanging by a thread, and the one person who might be able to find where he hid the damn thing before he was killed is you.” “Find it? You think I have it?” “I think you could find it. If you chose to.” “And why would I choose to? For old times’ sake?” She uncrossed her arms, her hands curling into fists at her sides. “You accused me of being a liability. You said my humanity was a weakness you couldn’t afford. Your exact words, Lucien.” He flinched. A real, raw flinch that he couldn’t suppress. It was the first crack in his impeccable armour she’d seen since he arrived. “I was angry.” “You were cruel.” “Yes.” The admission was quiet, stark. He didn’t elaborate, didn’t try to justify it. He just stood there, accepting the label. “I was. And I am not asking for forgiveness, Aurora. I am asking for your help. And I am telling you that if you do not give it, the people who killed Marcus will come for you next. They are not… polite.” She turned away from him, walking to the window that overlooked the street. She pressed her forehead against the cool glass. The crescent scar on her wrist itched. “You’re leveraging my survival to get what you need. Some things never change.” She heard the soft tread of his shoes on the floorboards. He didn’t touch her, but he was close enough that she could feel the warmth of him at her back. “If it were only about the book, I would have sent an associate. A note. I would not be here.” “Then why are you here?” The silence stretched. A taxi honked below. “Because when I heard Marcus was gone, and the trail led to Cardiff, and to you…” He stopped. She heard him take a slow breath. “The thought of them touching you. The thought of you being pulled from the river. It was… unacceptable.” She closed her eyes. Those words, spoken in that stripped-bare tone, did more damage than all his previous charm or cruelty ever had. They slipped past her defences and found the bruised, hidden part of her that had missed him with a stupid, stubborn ache. “You have a terrible way of showing you care.” “I know.” She turned around. He hadn’t moved. He was mere inches away, looking down at her with an expression she couldn’t fully decipher—a mix of grim determination and something else, something weary and haunted. “Tell me everything,” she said. “About Marcus. About the client. About the book. Every detail.” A fraction of the tension left his shoulders. “It will take some time.” “I’m not going anywhere. Apparently, neither are you.” She moved past him, back towards the cluttered sitting area. “I’ll put the kettle on. You can start by explaining what a ‘binding script’ is, and why a demon from Avaros is so interested in a law book.”
created_at"2026-02-19T12:24:25.666Z" 2/19/2026, 12:24:25 PM
model"deepseek/deepseek-v3.2-20251201"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1183
moderation_latency(null)
generation_time64402
tokens_prompt1034
tokens_completion2226
native_tokens_prompt939
native_tokens_completion1923
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"
usage0.001021791
router(null)
provider_responses
0
endpoint_id"8a5fb6d3-ef71-4958-af54-269ffa3a3c6e"
id"6c90135cec26b8b956ae3277475c65bb"
is_byokfalse
latency1183
model_permaslug"deepseek/deepseek-v3.2-20251201"
provider_name"Novita"
status200
api_type"completions"
id"gen-1771503865-fKMQSJ70wMrm0kfMZgIA"
upstream_id"6c90135cec26b8b956ae3277475c65bb"
total_cost0.001021791
cache_discount(null)
upstream_inference_cost0
provider_name"Novita"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags10
adverbTagCount0
adverbTags(empty)
dialogueSentences46
tagDensity0.217
leniency0.435
rawRatio0
effectiveRatio0
93.07% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1444
totalAiIsmAdverbs2
found
0
adverb"very"
count2
highlights
0"very"
60.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found
0"Blackwood"
1"Marcus"
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
51.52% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1444
totalAiIsms14
found
0
word"echoed"
count1
1
word"silence"
count2
2
word"unreadable"
count1
3
word"tension"
count2
4
word"chaotic"
count1
5
word"weight"
count1
6
word"charm"
count2
7
word"stark"
count1
8
word"leveraging"
count1
9
word"could feel"
count1
10
word"warmth"
count1
highlights
0"echoed"
1"silence"
2"unreadable"
3"tension"
4"chaotic"
5"weight"
6"charm"
7"stark"
8"leveraging"
9"could feel"
10"warmth"
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
narrationSentences80
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount2
narrationSentences80
filterMatches(empty)
hedgeMatches
0"seemed to"
1"try to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences113
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen65
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords2
totalWords1432
ratio0.001
matches
0"Codex Letum"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions9
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions19
wordCount804
uniqueNames11
maxNameDensity0.62
worstName"Lucien"
maxWindowNameDensity2
worstWindowName"Lucien"
discoveredNames
Eva3
Atlantean1
Edinburgh1
Sunday1
Moreau1
Blackwood1
French1
Lucien5
Aurora3
Brick1
Lane1
persons
0"Eva"
1"Moreau"
2"Lucien"
3"Aurora"
places
0"Edinburgh"
1"Brick"
2"Lane"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences58
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.698
wordCount1432
matches
0"not at the door, but down the stairwell, his profile sharp"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences113
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs49
mean29.22
std21.98
cv0.752
sampleLengths
047
134
223
368
459
535
61
723
831
91
101
1111
1235
1360
1436
153
165
1731
187
1957
205
2159
2223
2351
2470
255
2620
2719
2870
2914
3065
317
3210
3343
3427
353
3663
3741
3851
395
407
4143
4245
439
442
4533
4615
4713
4846
96.49% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences80
matches
0"was closed"
1"been said"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs135
matches
0"wasn’t expecting"
1"was looking"
67.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount0
flaggedSentences3
totalSentences113
ratio0.027
matches
0"Those mismatched eyes—amber and bottomless black—took her in."
1"The noise of Brick Lane—the distant hum of traffic, a shout from a passerby—seemed to fade into a muffled roar."
2"He was mere inches away, looking down at her with an expression she couldn’t fully decipher—a mix of grim determination and something else, something weary and haunted."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount813
adjectiveStacks0
stackExamples(empty)
adverbCount22
adverbRatio0.02706027060270603
lyAdverbCount3
lyAdverbRatio0.0036900369003690036
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences113
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences113
mean12.67
std10.52
cv0.831
sampleLengths
05
110
215
317
44
56
67
710
87
912
1011
1113
1228
1311
1416
157
164
1716
1817
194
2011
215
227
237
2416
251
264
278
286
295
3017
3110
324
331
341
3511
3611
3724
386
3910
4012
4115
4217
4319
4417
453
465
4711
4820
497
40.71% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats14
diversityRatio0.3185840707964602
totalSentences113
uniqueOpeners36
44.44% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences75
matches
0"Instead, she stepped back, pulling"
ratio0.013
12.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount39
totalSentences75
matches
0"She wasn’t expecting anyone."
1"She peered through the peephole,"
2"He was a study in"
3"He was looking not at"
4"Her fingers hesitated over the"
5"She hadn’t seen him in"
6"She slid the bolt back."
7"She opened the door just"
8"He turned his head."
9"He’d known she’d be here."
10"His voice was the same,"
11"It did things to her"
12"She wanted to slam the"
13"He entered, bringing with him"
14"He filled the cramped space"
15"He didn’t move further in,"
16"He finally looked directly at"
17"He leaned his cane against"
18"she said, and meant it,"
19"She could see the library,"
ratio0.52
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount71
totalSentences75
matches
0"The first knock was soft."
1"Aurora ignored it, thinking it"
2"The second was firm, three"
3"Ptolemy, sprawled across a pile"
4"She wasn’t expecting anyone."
5"Eva was in Edinburgh until"
6"The curry house below was"
7"The silence after the knocks"
8"Aurora padded to the door,"
9"She peered through the peephole,"
10"Lucien Moreau stood on the"
11"He was a study in"
12"He was looking not at"
13"Her fingers hesitated over the"
14"The metal was cold."
15"She hadn’t seen him in"
16"There had been a bottle"
17"Things had been said."
18"Things she’d replayed in her"
19"She slid the bolt back."
ratio0.947
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences75
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences35
technicalSentenceCount1
matches
0"The second was firm, three deliberate raps that echoed in the quiet of the flat."
75.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags10
uselessAdditionCount1
matches
0"he said, his voice dropping,"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount1
fancyTags
0"she whispered (whisper)"
dialogueSentences46
tagDensity0.087
leniency0.174
rawRatio0.25
effectiveRatio0.043
81.3415%