Run: 2026-02-19-01KHTQRWGWGHA8WP2NFJGWEWB8

Run Details

Duration:
37.8s
Cost:
$0.001737
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="4413" name="Silas Blackwood" aliases="Silas, Si, the Spymaster" pronouns="he/him" species="Human" storyRole="Mentor"> <eyeColor>hazel</eyeColor> <hair>grey-streaked auburn</hair> <height>6'1"</height> <age>58</age> <beard>neatly trimmed, matching his grey-streaked auburn hair</beard> <limp>slight limp in his left leg from an old knee injury</limp> <signetRing>silver signet ring, always worn on his right hand</signetRing> <description>Silas is a retired intelligence operative turned bar owner. He carries himself with quiet authority.</description> <backstory>Former MI6 field agent who retired after a botched operation in Prague left him with a permanent knee injury. He opened "The Raven's Nest" bar in Soho as a front for his network of contacts.</backstory> </character> <location id="854" name="The Raven's Nest" aliases="the Nest, Raven, Silas' bar" realm="Earth"> <signColor>distinctive green neon sign above the entrance</signColor> <secretRoom>hidden back room accessible through a bookshelf, used for clandestine meetings</secretRoom> <description>A dimly lit bar in Soho, London. The walls are covered with old maps and black-and-white photographs.</description> </location> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the literary fiction genre. Two old friends who haven't seen each other in years run into each other unexpectedly at a bar. One of them has changed significantly. Through their conversation and the tension between who they were and who they've become, reveal the weight of time and unspoken regret. 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 neon sign buzzed outside The Raven’s Nest, its green glow flickering against the damp pavement. Rory pushed open the heavy oak door, the warmth of the bar wrapping around her like an old coat. The scent of whiskey and wood polish filled the air, mingling with the low hum of conversation. She slid onto a stool at the far end of the counter, rubbing her left wrist absently, the crescent scar catching the dim light. Silas glanced up from polishing a glass, his hazel eyes crinkling at the corners. "You’re early." "Slow day." She shrugged. "Eva bailed on drinks again." "Third time this month." He set the glass down with a quiet thud. "You should tell her to piss off." Rory smirked. "And lose the only friend I’ve got left?" Silas opened his mouth to respond, but the door creaked open behind her. A draft curled through the bar, carrying the sharp bite of autumn air. Rory didn’t turn—habit—but Silas’s gaze flicked past her shoulder, his expression shifting imperceptibly. "Whiskey. Neat." The voice was deeper than she remembered, rougher at the edges, but unmistakable. Rory’s fingers stilled against the counter. She turned. Evan stood three feet away, his coat damp from the rain, his hair shorter than it had been in Cardiff. The sharp angles of his face were harder now, the boyish softness gone. He hadn’t noticed her yet, his attention fixed on the row of bottles behind Silas. Rory exhaled slowly. "Small world." His head snapped toward her. For a heartbeat, his expression was unguarded—surprise, then something darker, sharper. Then it smoothed over, the mask slipping back into place. "Rory." Silas set a glass in front of Evan without a word, but his knuckles whitened around the rag in his hand. Evan took a slow sip, his eyes never leaving hers. "Didn’t think I’d find you here." "Funny. I was just thinking the same thing." She kept her voice light, but her pulse hammered in her throat. He leaned against the bar, close enough that she caught the faint scent of his cologne—something expensive, unfamiliar. "You look good." "You don’t." The lie slipped out before she could stop it. He looked better. Stronger. The kind of man who didn’t leave bruises, just ghosts. Evan laughed, low and humorless. "Still sharp as ever." He swirled the whiskey in his glass. "Heard you left Cardiff." "Years ago." "Running?" "Living." She met his gaze. "You?" He shrugged. "Business." Silas cleared his throat, the sound deliberate. "You two need a minute?" Evan’s smile didn’t reach his eyes. "We’re good." The silence stretched between them, taut as a wire. Rory traced the rim of her glass, the weight of all the unspoken things pressing against her ribs. The last time they’d been this close, he’d held her wrist so tight the skin split. Now, he sipped his drink like a stranger. "You working?" he asked finally. "Delivery. For a Chinese place." His brow furrowed. "Pre-Law Rory Carter delivering takeout?" "People change." "Yeah." His gaze flicked to her wrist, to the scar he’d never asked about. "They do." The door opened again—a group of tourists, laughing too loud, shaking rain from their coats. The moment shattered. Evan pushed off the bar, tossing a bill onto the counter. "Leaving so soon?" Rory asked. "Business." He hesitated, then reached into his coat pocket and slid a card toward her. Black, embossed with gold lettering. "If you ever want real work." She didn’t touch it. "What kind of work?" He smiled, the old charm bleeding through just for a second. "The kind that pays." Then he was gone, the door swinging shut behind him. Rory stared at the card. Evan Cross. Director of Operations. A phone number. No company name. Silas plucked it off the counter, holding it up to the light. "You’re not taking that." "I know." "Good." He tore it in half, the sound crisp in the quiet bar. "Because that boy’s trouble." Rory watched the pieces flutter into the bin. "He always was." Outside, the rain picked up, drumming against the windows. The neon sign buzzed, flickering once, then twice, before steadying again.
created_at"2026-02-19T10:40:15.905Z" 2/19/2026, 10:40:15 AM
model"deepseek/deepseek-chat-v3"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2068
moderation_latency(null)
generation_time37755
tokens_prompt1094
tokens_completion1119
native_tokens_prompt991
native_tokens_completion1031
native_tokens_completion_images0
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"
usage0.0017367
router(null)
provider_responses
0
endpoint_id"cefb5a1e-9fea-4496-9a64-4e1b11a7cc8c"
id"fc3db6a5f5547172ad6a9888ca3e7e17"
is_byokfalse
latency2068
model_permaslug"deepseek/deepseek-chat-v3"
provider_name"Novita"
status200
api_type"completions"
id"gen-1771497615-2ihXMHTQj4dKomgZMWwi"
upstream_id"fc3db6a5f5547172ad6a9888ca3e7e17"
total_cost0.0017367
cache_discount(null)
upstream_inference_cost0
provider_name"Novita"

Evaluation details

Result Evaluator Details Meta Data
94.74% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags12
adverbTagCount2
adverbTags
0"he asked finally [finally]"
1"He hesitated then [then]"
dialogueSentences38
tagDensity0.316
leniency0.632
rawRatio0.167
effectiveRatio0.105
92.82% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount696
totalAiIsmAdverbs1
found
0
adverb"slowly"
count1
highlights
0"slowly"
100.00% AI-ism character names
Target: 0 AI-default names (16 tracked, −20% each)
codexExemptions
0"Blackwood"
found(empty)
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
20.98% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount696
totalAiIsms11
found
0
word"warmth"
count1
1
word"flicked"
count2
2
word"pulse"
count1
3
word"silence"
count1
4
word"traced"
count1
5
word"weight"
count1
6
word"unspoken"
count1
7
word"furrowed"
count1
8
word"shattered"
count1
9
word"charm"
count1
highlights
0"warmth"
1"flicked"
2"pulse"
3"silence"
4"traced"
5"weight"
6"unspoken"
7"furrowed"
8"shattered"
9"charm"
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
narrationSentences61
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences61
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences87
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen24
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords690
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
70.77% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions29
wordCount568
uniqueNames9
maxNameDensity1.58
worstName"Rory"
maxWindowNameDensity2.5
worstWindowName"Rory"
discoveredNames
Raven1
Nest1
Rory9
Silas7
Cardiff1
Evan7
Black1
Cross1
Operations1
persons
0"Rory"
1"Silas"
2"Evan"
3"Black"
4"Cross"
places
0"Raven"
1"Cardiff"
globalScore0.708
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences40
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount690
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences87
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs41
mean16.83
std15.06
cv0.895
sampleLengths
076
116
29
320
410
539
62
719
82
948
105
1127
1221
1316
1420
1521
1625
1720
182
191
206
213
2212
238
2451
255
265
278
282
2916
3029
315
3226
338
3425
3516
3616
372
3817
3911
4020
99.51% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences61
matches
0"was gone"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs98
matches(empty)
11.49% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount0
flaggedSentences4
totalSentences87
ratio0.046
matches
0"Rory didn’t turn—habit—but Silas’s gaze flicked past her shoulder, his expression shifting imperceptibly."
1"For a heartbeat, his expression was unguarded—surprise, then something darker, sharper."
2"He leaned against the bar, close enough that she caught the faint scent of his cologne—something expensive, unfamiliar."
3"The door opened again—a group of tourists, laughing too loud, shaking rain from their coats."
99.88% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount573
adjectiveStacks0
stackExamples(empty)
adverbCount23
adverbRatio0.04013961605584642
lyAdverbCount4
lyAdverbRatio0.006980802792321117
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences87
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences87
mean7.93
std5.75
cv0.724
sampleLengths
016
119
217
324
414
52
64
75
813
97
102
118
1213
1313
1413
152
1613
176
182
1920
2013
2115
223
232
245
2511
2610
271
2821
2910
306
3120
3218
333
3411
353
361
3710
385
3911
404
412
421
435
441
452
461
477
485
496
80.08% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.4942528735632184
totalSentences87
uniqueOpeners43
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences54
matches
0"Then it smoothed over, the"
1"Then he was gone, the"
ratio0.037
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount16
totalSentences54
matches
0"She slid onto a stool"
1"He set the glass down"
2"He hadn’t noticed her yet,"
3"His head snapped toward her."
4"She kept her voice light,"
5"He leaned against the bar,"
6"He looked better."
7"He swirled the whiskey in"
8"She met his gaze"
9"he asked finally"
10"His brow furrowed."
11"His gaze flicked to her"
12"He hesitated, then reached into"
13"She didn’t touch it."
14"He smiled, the old charm"
15"He tore it in half,"
ratio0.296
24.81% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount47
totalSentences54
matches
0"The neon sign buzzed outside"
1"Rory pushed open the heavy"
2"The scent of whiskey and"
3"She slid onto a stool"
4"Silas glanced up from polishing"
5"He set the glass down"
6"Silas opened his mouth to"
7"A draft curled through the"
8"Rory didn’t turn—habit—but Silas’s gaze"
9"The voice was deeper than"
10"Rory’s fingers stilled against the"
11"Evan stood three feet away,"
12"The sharp angles of his"
13"He hadn’t noticed her yet,"
14"Rory exhaled slowly."
15"His head snapped toward her."
16"Silas set a glass in"
17"Evan took a slow sip,"
18"She kept her voice light,"
19"He leaned against the bar,"
ratio0.87
92.59% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences54
matches
0"Now, he sipped his drink"
ratio0.019
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences25
technicalSentenceCount0
matches(empty)
83.33% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags12
uselessAdditionCount1
matches
0"She kept, but her pulse hammered in her throat"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount0
fancyTags(empty)
dialogueSentences38
tagDensity0.053
leniency0.105
rawRatio0
effectiveRatio0
89.0335%