Run: 2026-02-19-01KHTY865JF429VVWPVVHK48JF

Run Details

Duration:
37.0s
Cost:
$0.001633
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 Raven’s Nest hummed with the low murmur of after-work drinkers, the green neon sign casting an eerie glow through the front windows. Rory wiped down the bar counter, her black hair falling into her eyes as she worked. Silas had stepped out to "run errands"—code for whatever clandestine business he still dabbled in—and left her to mind the place. The air smelled of whiskey and old wood, the kind of scent that clung to memories. She didn’t notice him at first, not until he slid onto a stool at the far end of the bar. The movement was familiar, the way he settled in, one elbow propped on the counter like he belonged there. But the man himself was different—older, harder, his once-boyish features sharpened by time. Rory froze, the rag still in her hand. Evan. He hadn’t seen her yet. He was too busy scanning the bottles behind the bar, his fingers tapping an absent rhythm against the wood. She could still read him, even after all these years. The restless energy, the way he held himself just a little too still, like he was bracing for something. She exhaled, slow and deliberate, then walked over. "Whiskey. Neat." His voice was deeper than she remembered, rougher. She reached for the bottle without a word, poured two fingers, and slid it across. Only then did he look up. His eyes—still that unsettling shade of green—widened. "Rory?" She folded her arms. "Evan." A beat of silence. He let out a low whistle, shaking his head. "Christ. I didn’t think—" He cut himself off, took a quick sip of the whiskey. "You work here now?" "Sometimes." She kept her tone neutral, but her fingers tightened around the edge of the bar. He nodded, as if that explained everything. "You look good." She didn’t answer. The last time he’d seen her, she’d had a bruise on her cheekbone. Evan cleared his throat, swirling the whiskey in his glass. "I heard you moved to London. Didn’t realize it was this part of town." "Small world." "Yeah." He laughed, but it was hollow. "Guess so." The silence stretched between them, thick with everything unsaid. Rory could feel the weight of it pressing against her ribs. "You’re different," he said finally. She arched a brow. "Am I?" "Used to be you’d have thrown this glass at my head by now." "Maybe I grew up." He winced, just slightly, but she caught it. "Yeah. Maybe we both did." She studied him—the new lines around his eyes, the way his knuckles were scarred now. "You still boxing?" "Not professionally. Just sparring here and there." He flexed his hand absently. "Keeps me out of trouble." Rory snorted before she could stop herself. Evan’s mouth twitched. "Okay, fair." Another silence. The jukebox in the corner switched tracks, something slow and mournful. "You ever think about Cardiff?" he asked quietly. She wiped down the counter again, just for something to do. "Not if I can help it." He nodded, like he’d expected that. "I’m sorry, you know." The words hung there, simple and heavy. Rory stilled. "For what, exactly?" Evan met her gaze. "All of it." She could have laughed. Could have screamed. Instead, she just exhaled. "Yeah. Me too." He finished his drink in one swallow, set the glass down with a soft thud. "I should go." Rory didn’t stop him. He stood, hesitated, then pulled a card from his pocket and left it on the bar. "In case you ever want to talk. Or, you know. Throw something at my head." She didn’t touch it. Evan gave her one last look, then turned and walked out, the door swinging shut behind him. The neon light flickered, casting green shadows across the empty stool. Rory picked up the card. Turned it over in her fingers. Then, slowly, she tore it in half and dropped it into the bin beneath the bar.
created_at"2026-02-19T12:33:28.76Z" 2/19/2026, 12:33:28 PM
model"deepseek/deepseek-chat-v3"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1688
moderation_latency(null)
generation_time36924
tokens_prompt1094
tokens_completion1028
native_tokens_prompt991
native_tokens_completion951
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"
usage0.0016327
router(null)
provider_responses
0
endpoint_id"cefb5a1e-9fea-4496-9a64-4e1b11a7cc8c"
id"5790232c4f7caa1a3de7557626c2fbd2"
is_byokfalse
latency1688
model_permaslug"deepseek/deepseek-chat-v3"
provider_name"Novita"
status200
api_type"completions"
id"gen-1771504408-amRogxVf4LdZAaEqLDOw"
upstream_id"5790232c4f7caa1a3de7557626c2fbd2"
total_cost0.0016327
cache_discount(null)
upstream_inference_cost0
provider_name"Novita"

Evaluation details

Result Evaluator Details Meta Data
62.07% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags8
adverbTagCount2
adverbTags
0"he said finally [finally]"
1"he asked quietly [quietly]"
dialogueSentences29
tagDensity0.276
leniency0.552
rawRatio0.25
effectiveRatio0.138
84.85% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount660
totalAiIsmAdverbs2
found
0
adverb"slightly"
count1
1
adverb"slowly"
count1
highlights
0"slightly"
1"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)
31.82% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount660
totalAiIsms9
found
0
word"clandestine"
count1
1
word"familiar"
count1
2
word"scanning"
count1
3
word"silence"
count3
4
word"could feel"
count1
5
word"weight"
count1
6
word"flickered"
count1
highlights
0"clandestine"
1"familiar"
2"scanning"
3"silence"
4"could feel"
5"weight"
6"flickered"
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
filterCount1
hedgeCount0
narrationSentences57
filterMatches
0"look"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences78
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
totalWords652
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions14
wordCount531
uniqueNames4
maxNameDensity1.32
worstName"Rory"
maxWindowNameDensity2.5
worstWindowName"Rory"
discoveredNames
Raven1
Nest1
Rory7
Evan5
persons
0"Raven"
1"Nest"
2"Rory"
3"Evan"
places(empty)
globalScore0.841
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences38
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount652
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences78
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs41
mean15.9
std15.26
cv0.96
sampleLengths
076
152
28
31
453
58
610
728
81
95
1032
1116
1210
1316
1424
152
169
1720
185
196
2013
214
2213
2318
2417
257
265
2713
288
2917
3010
319
323
337
3414
3518
364
3731
384
3928
4027
99.11% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences57
matches
0"were scarred"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs99
matches
0"was bracing"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount0
flaggedSentences4
totalSentences78
ratio0.051
matches
0"Silas had stepped out to \"run errands\"—code for whatever clandestine business he still dabbled in—and left her to mind the place."
1"But the man himself was different—older, harder, his once-boyish features sharpened by time."
2"His eyes—still that unsettling shade of green—widened."
3"She studied him—the new lines around his eyes, the way his knuckles were scarred now."
88.34% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount538
adjectiveStacks1
stackExamples
0"different—older, harder, his"
adverbCount25
adverbRatio0.046468401486988845
lyAdverbCount6
lyAdverbRatio0.011152416356877323
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences78
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences78
mean8.36
std5.71
cv0.683
sampleLengths
023
116
221
316
420
519
613
78
81
95
1019
1110
1219
138
1410
1515
166
177
181
194
201
214
229
2315
244
2516
267
273
283
2913
3010
3114
322
337
342
359
3611
375
384
392
4013
414
428
435
4415
453
4612
475
487
493
67.09% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats1
diversityRatio0.41025641025641024
totalSentences78
uniqueOpeners32
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences54
matches
0"Only then did he look"
1"Instead, she just exhaled."
2"Then, slowly, she tore it"
ratio0.056
20.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount27
totalSentences54
matches
0"She didn’t notice him at"
1"He hadn’t seen her yet."
2"He was too busy scanning"
3"She could still read him,"
4"She exhaled, slow and deliberate,"
5"His voice was deeper than"
6"She reached for the bottle"
7"His eyes—still that unsettling shade"
8"She folded her arms."
9"He let out a low"
10"He cut himself off, took"
11"She kept her tone neutral,"
12"He nodded, as if that"
13"She didn’t answer."
14"He laughed, but it was"
15"he said finally"
16"She arched a brow."
17"He winced, just slightly, but"
18"She studied him—the new lines"
19"He flexed his hand absently"
ratio0.5
15.56% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount48
totalSentences54
matches
0"The Raven’s Nest hummed with"
1"Rory wiped down the bar"
2"Silas had stepped out to"
3"The air smelled of whiskey"
4"She didn’t notice him at"
5"The movement was familiar, the"
6"Rory froze, the rag still"
7"He hadn’t seen her yet."
8"He was too busy scanning"
9"She could still read him,"
10"The restless energy, the way"
11"She exhaled, slow and deliberate,"
12"His voice was deeper than"
13"She reached for the bottle"
14"His eyes—still that unsettling shade"
15"She folded her arms."
16"A beat of silence."
17"He let out a low"
18"He cut himself off, took"
19"She kept her tone neutral,"
ratio0.889
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences54
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences21
technicalSentenceCount0
matches(empty)
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags8
uselessAdditionCount2
matches
0"she remembered, rougher"
1"She kept, but her fingers tightened around the edge of the bar"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount1
fancyTags
0"He laughed (laugh)"
dialogueSentences29
tagDensity0.103
leniency0.207
rawRatio0.333
effectiveRatio0.069
78.4055%