Run: 2026-02-19-01KHTYWY40YQHHMMH9JF9A23QN

Run Details

Duration:
56.6s
Cost:
$0.005592
Provider:
DeepInfra

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 green glow of the neon sign outside bled through the grime-smeared window, painting the bar in shades of sickly envy. Rory sat hunched over a glass of melting ice, the condensation a cold sweat on her knuckles. She knew the geography of this place better than her own flat upstairs. The way the dark wood of the bar was worn smooth by a million elbows, the faint smell of stale beer and lemon polish, the low murmur of conversation that never quite rose above a whisper. It was a place for hiding. She felt the shift in air pressure before she heard him. The familiar, uneven rhythm of a gait that favoured the right leg. A shadow fell across the sticky surface of the bar, eclipsing her glass. “Rory.” His voice was a low rumble, unchanged by the years. It scraped against something raw inside her. She didn’t look up. “Silas.” He rested his hands on the bar, the silver signet ring on his right hand catching the weak light. It was a heavy, old-fashioned thing, stamped with a crest she’d never bothered to ask about. His knuckles were thick, the skin weathered. “I didn’t know you were back in town.” He slid onto the stool next to her, the movement fluid despite the old injury in his knee. He smelled of cedar and something else, something metallic and clean that she associated with his past. “Just got back.” “From Cardiff?” “No.” She finally lifted her head, meeting his gaze in the mirror behind the bar. His hazel eyes were the same, watchful and knowing. They saw too much. “From somewhere else.” He nodded slowly, a gesture that held more weight than a simple agreement. He signalled to the bartender, a young man with a face full of piercings who barely glanced their way. “A whisky for me. And another… whatever she’s having.” “I’m fine with this.” “The ice is melted.” “It’s water now.” He let that hang in the air between them, a small, pointless victory in a war she hadn’t known they were fighting. The bartender placed a glass of amber liquid in front of Silas and slid a fresh Coke towards Rory. The fizz of the carbonation was a sharp, angry sound. “You look well.” He took a sip of his drink, his eyes never leaving her reflection. “Liar.” The word was out before she could stop it. She saw a flicker of something in his eyes, not surprise, but acknowledgement. “I’m not lying, Aurora. You look… settled.” The use of her full name was a deliberate choice. A weapon. It was the name on her birth certificate, the name her father used when he was disappointed in her. It was the name of the girl who got A-levels and had a place at Cardiff University to read Pre-Law. That girl was a ghost. “I’m a delivery driver, Silas. I bring people noodles and spring rolls. ‘Settled’ isn’t the word I’d use.” “It’s a living.” “It’s a way to pay the rent on the flat you own.” She regretted the words instantly. They were too sharp, too revealing. They showed the chip on her shoulder, the debt she felt she could never repay. He didn’t flinch. He just swirled the whisky in his glass, watching the liquid climb the sides. “I always liked having you around. Even when you were a teenager, sneaking in here to read books far too old for you.” “I wasn’t sneaking. You let me in.” “Did I?” A faint smile touched his lips, barely there. “Or did I just forget to lock the door sometimes?” She looked away from the mirror, down at her own hands. Her left wrist, the small crescent-shaped scar a pale white against her skin. She traced it with her thumb, a nervous habit she couldn’t break. The silence stretched, filled by the clink of glasses from the other end of the bar and the soulless thud of music from the speakers. “Your father asks about you.” Rory’s hand stilled. “I doubt that.” “He does. He’s proud of you. Thinks you’re in London, making your way.” “He thinks I’m a solicitor’s apprentice, living in a nice flat in Kensington.” She voice was flat, devoid of emotion. “Let him keep thinking it. It’s a nicer story.” “And what’s the real story, Laila?” The old nickname, a whispered secret from years ago, hit her like a physical blow. It was the name Eva used to call her, the name Silas used when he was teaching her how to read a map or pick a lock. It belonged to a different life, a different person. A person who didn’t have a fresh set of bruises hidden under her sleeves. A person who still believed in futures. “Don’t.” Her voice was low, a warning. “Don’t call me that.” “Why not?” He leaned closer, his voice dropping to match hers. “That’s who you are.” “No.” She shook her head, a sharp, jerky motion. “That’s who I was. You don’t get to just… reach back in time and pull her out. It doesn’t work like that.” He watched her, his expression unreadable. He wasn’t judging her, she knew that. It was worse. He was mourning her. He was mourning the girl he thought he knew, the girl with the bright future and the sharp mind, and he couldn’t see the woman sitting in front of him. The one who had survived. “I remember when you got that scar.” He gestured with his chin towards her wrist. “Fell out of that old oak tree in Bute Park. You were trying to get a better look at a hawk’s nest.” “I was eight.” She pulled her sleeve down, covering the pale line. “And I was stupid.” “You were fearless.” “And look where it got me.” The bitterness in her own voice surprised her. It tasted like acid. “Fearful is better. Fearful is safer.” Silas finished his whisky in one smooth motion and placed the glass back on the bar with a soft click. The silver ring was a dull gleam under the dim lights. “Is it, though?” he asked, his voice quiet again. “Is it safer to live in a cage of your own making?” She didn’t have an answer. She stared at the bubbles rising and popping in her glass, each one a tiny, silent scream. The weight of the years, of the choices made and unmade, settled between them, a physical presence in the stale air of the bar. He was a map of a past she couldn’t return to, and she was a destination he’d never wanted to see.
created_at"2026-02-19T12:44:48.647Z" 2/19/2026, 12:44:48 PM
model"z-ai/glm-4.6" 4/6/2001, 12:00:00 AM
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency316
moderation_latency(null)
generation_time56470
tokens_prompt1094
tokens_completion3476
native_tokens_prompt998
native_tokens_completion3160
native_tokens_completion_images(null)
native_tokens_reasoning1816
native_tokens_cached960
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"
usage0.005591539
router(null)
provider_responses
0
endpoint_id"c8607edc-8577-4199-b03d-1213da4743dc"
id"chatcmpl-RunYl7gRcPNrviakKJzZDF7I"
is_byokfalse
latency147
model_permaslug"z-ai/glm-4.6" 4/6/2001, 12:00:00 AM
provider_name"DeepInfra"
status200
api_type"completions"
id"gen-1771505088-XaiCT5g9L8zkzwBaBbW1"
upstream_id"chatcmpl-RunYl7gRcPNrviakKJzZDF7I"
total_cost0.005591539
cache_discount0.000336
upstream_inference_cost0
provider_name"DeepInfra"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags13
adverbTagCount0
adverbTags(empty)
dialogueSentences42
tagDensity0.31
leniency0.619
rawRatio0
effectiveRatio0
95.50% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1110
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)
63.96% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1110
totalAiIsms8
found
0
word"whisper"
count1
1
word"familiar"
count1
2
word"weight"
count2
3
word"flicker"
count1
4
word"traced"
count1
5
word"silence"
count1
6
word"unreadable"
count1
highlights
0"whisper"
1"familiar"
2"weight"
3"flicker"
4"traced"
5"silence"
6"unreadable"
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
narrationSentences69
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences69
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences97
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen36
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1107
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions8
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions11
wordCount833
uniqueNames7
maxNameDensity0.36
worstName"Silas"
maxWindowNameDensity1
worstWindowName"Silas"
discoveredNames
Silas3
Coke1
Rory3
Cardiff1
University1
Pre-Law1
Eva1
persons
0"Silas"
1"Rory"
2"Eva"
places
0"Cardiff"
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
totalMatches1
per1kWords0.903
wordCount1107
matches
0"not surprise, but acknowledgement"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences97
matches
0"clean that she"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs43
mean25.74
std22.12
cv0.859
sampleLengths
093
136
21
321
41
542
643
73
82
931
1041
114
124
133
1451
1516
1623
177
1856
1918
203
2138
2240
237
2420
2561
265
276
2813
2929
306
3172
3211
3315
3431
3555
3637
3716
383
3924
4031
4121
4267
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences69
matches
0"was disappointed"
0.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount5
totalVerbs128
matches
0"were fighting"
1"was teaching"
2"wasn’t judging"
3"was mourning"
4"was mourning"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences97
ratio0
matches(empty)
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount837
adjectiveStacks1
stackExamples
0"heavy, old-fashioned thing,"
adverbCount17
adverbRatio0.02031063321385902
lyAdverbCount6
lyAdverbRatio0.007168458781362007
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences97
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences97
mean11.41
std7.3
cv0.64
sampleLengths
021
117
213
336
46
511
612
713
81
910
107
114
121
1319
1416
157
1626
1717
183
192
2015
219
224
233
2413
2519
269
274
284
293
3022
3119
3210
3316
3410
3513
367
3710
382
3919
4020
415
4218
433
4417
456
4615
473
4814
4923
34.54% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats15
diversityRatio0.27835051546391754
totalSentences97
uniqueOpeners27
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences68
matches(empty)
ratio0
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount47
totalSentences68
matches
0"She knew the geography of"
1"It was a place for"
2"She felt the shift in"
3"His voice was a low"
4"It scraped against something raw"
5"She didn’t look up."
6"He rested his hands on"
7"It was a heavy, old-fashioned"
8"His knuckles were thick, the"
9"He slid onto the stool"
10"He smelled of cedar and"
11"She finally lifted her head,"
12"His hazel eyes were the"
13"They saw too much."
14"He nodded slowly, a gesture"
15"He signalled to the bartender,"
16"He let that hang in"
17"He took a sip of"
18"She saw a flicker of"
19"It was the name on"
ratio0.691
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount68
totalSentences68
matches
0"The green glow of the"
1"Rory sat hunched over a"
2"She knew the geography of"
3"The way the dark wood"
4"It was a place for"
5"She felt the shift in"
6"The familiar, uneven rhythm of"
7"A shadow fell across the"
8"His voice was a low"
9"It scraped against something raw"
10"She didn’t look up."
11"He rested his hands on"
12"It was a heavy, old-fashioned"
13"His knuckles were thick, the"
14"He slid onto the stool"
15"He smelled of cedar and"
16"She finally lifted her head,"
17"His hazel eyes were the"
18"They saw too much."
19"He nodded slowly, a gesture"
ratio1
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences68
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences35
technicalSentenceCount1
matches
0"It was the name of the girl who got A-levels and had a place at Cardiff University to read Pre-Law."
48.08% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags13
uselessAdditionCount2
matches
0"He leaned, his voice dropping to match hers"
1"he asked, his voice quiet again"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount1
fancyTags
0"She voice (voice)"
dialogueSentences42
tagDensity0.048
leniency0.095
rawRatio0.5
effectiveRatio0.048
77.8691%