Run: 2026-04-27-01KQ73ZQAP97JJ1MNHX92CMXY0

Run Details

Duration:
1m 42s
Cost:
$0.006246
Provider:
AtlasCloud

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 neon sign buzzed against the Soho damp, casting a fractured pulse over the wet pavement. Aurora pushed through the heavy oak door, the bell above it chiming a dull note. The Raven’s Nest swallowed the street noise, replacing it with the low murmur of conversations and the clink of glass against stone. Amber light caught the edges of framed black-and-white photographs lining the walls. Maps covered the remaining plaster, their creases worn soft from years of being traced by nervous fingers. She pulled her coat tighter, ignoring the cold clinging to her shoulder-length black hair. Her left wrist ached where the crescent scar throbbed against the fabric of her sleeve. Silas stood behind the polished mahogany counter, polishing a tumbler with a folded linen cloth. His hazel eyes lifted over the rim of the glass. The grey-streaked auburn hair above his ears caught the dim light. He set the cloth down, the silver signet ring on his right hand flashing once. A slight limp carried his weight forward as he rounded the bar. You still drink the same poison. It keeps the cold out. I see you haven’t upgraded the glasses. The glasses hold the spirit. The spirit doesn’t care about the vessel. He moved to the far side of the counter, leaning his forearms against the wood. The neat trim of his beard couldn’t hide the deep lines bracketing his mouth. Cardiff. I didn’t expect to find you this far south. Or at all. Cardiff folded. I had to fold with it. She tracked the condensation pooling on the counter. Her fingers traced the wooden grain. You look like a ghost wearing a delivery driver’s vest. Ghosts don’t pay rent. I live above the bookshelf. You kept the place. I kept the lock. The rest came later. He poured a measure of dark amber liquid into a heavy tumbler. The pour was steady. Precise. Eva pushed you to London. I saw the postcard. You crossed the water and vanished. Three years. Four. Time stretches when you’re running. She reached into her coat pocket, withdrew a crumpled envelope, and set it beside his elbow. I’m not here to trace my steps back. I’m here to drop this off. Legal paperwork. Yu-Fei needs it signed before the supplier arrives at dawn. Silas didn’t touch the envelope. His gaze stayed fixed on the scar peeking from her cuff. You always had your head in the law books. Pre-Law. You spent hours arguing with me about procedural justice over burnt coffee. Procedural justice is a luxury for people who sleep through the night. I trade meals now. I track routes. I sign papers. You traded your voice for a clipboard. I traded my voice for survival. Don’t romanticize the wreckage, Silas. He stepped back, the limp catching on a floorboard. He tapped the signet ring against the wood twice. You were twenty-two. Sharp. You argued until my knees gave out. Now you sit in the shadows and count coins. I sit where the heat comes from. You moved to Prague. You stopped answering the landline. The bar opened while I was still stitching wounds in a Cardiff safehouse. The landline died with the operation. I didn’t come back to London until the knee failed. I opened the door because the streets were full of strangers looking for places to hide. She crossed her arms. The leather of her glove creaked. I was looking for one. You gave me the loft. You took the rent in deliveries and silence. We called it a trade. We called it a lifeboat. He reached past her, grabbed a stack of coasters, and aligned them with surgical precision. You left because of him. Evan. The name still tastes like copper. Evan left. I stayed behind. The police filed it as a private matter. The law called it a pattern. I called it a mistake in judgment. Judgment failed you. I told you to run. You ran. I ran into a wall. I learned to climb over it instead. She pulled out a chair, the legs scraping against the hardwood. She sat, the weight of the years pressing down her shoulders. You look different. Older. Harder. The knee aches when the pressure drops. The face reflects the hours. You changed too. Your eyes don’t bounce anymore. They calculate. Calculation keeps the lights on. Bouncing gets you eaten. He laughed, a low sound that didn’t reach his eyes. He picked up the tumbler, took a slow sip, and set it down without a sound. We were supposed to take the train to Edinburgh. You had the tickets printed. I had the duffel packed. You said you’d meet me at King’s Cross. I didn’t go. I watched the doors open at seven. Eight. Nine. The station emptied. I waited until the cleaners started mopping the platforms. My mother found me sitting on the steps. She called Brendan. He argued with me for six hours about duty. I hung up and walked until my shoes wore through. You broke a promise. I broke a chain. Don’t dress it up as a moral failure. You were playing spy games while I was learning how to bleed quietly. He rubbed his thumb over the signet ring. The metal caught the light. I thought you were building a career. A courtroom. A life with straight lines. Straight lines fracture. I work for a restaurant owner who ships fish at midnight. I navigate alleyways to avoid police checkpoints. I count calories and cash. The lines curve. You sound like you’ve accepted the damage. I’ve accepted the weight. There’s a difference. He stood straight, the limp easing as he shifted his stance. He walked to the bookshelf, ran a hand along the spines, and stopped at a leather-bound volume. We used to talk about rewriting the rules. You wanted to change the system from the inside. I wanted to burn the ledger. Burning the ledger just scorches your hands. I learned to forge the pages. She leaned forward, her bright blue eyes locking onto his. Do you ever think about it? The crossroads? The moment you decided to keep walking alone? Every time the rain hits the roof. Every time a new face slides onto a stool looking for a place to disappear. He tapped the cover of the book. The sound echoed in the quiet bar. I kept a spot for you. Above the stairs. It’s still yours. The key is under the third floorboard. She didn’t move. Her fingers tightened on the edge of the chair. I don’t need a key. I have a delivery schedule. I have a flat that smells like fried garlic and damp plaster. I have a wrist that aches when it rains. You have a roof. That’s the same thing. It’s not the same thing. A roof doesn’t remember your laugh. A roof doesn’t stop the silence. He poured another measure. Slid it across the counter. The liquid moved in a slow, dark arc. Drink it. The cold’s coming in. She pushed the glass back. The condensation smeared on the wood. I’m here to drop the papers. Yu-Fei’s expecting a response. The supplier waits for nothing. Silas picked up the envelope. His fingers traced the stamped address. He folded it once, twice, and slipped it into his inner jacket pocket. You still sign with the sharp hand. The one that underlines everything. Habit dies harder than a job. He stepped around the counter, the limp pronounced now. He stopped two feet away. The scent of old paper and cedar hung in the air between them. Four years. You look like you’ve lived them twice. I’ve lived them twice. Once on paper. Once on the street. She stood. The chair legs scraped back. She adjusted her coat, hiding the scar. Don’t wait for trains anymore, Silas. The schedules change. The people don’t. I stopped watching schedules. I watch the street. He nodded once. A sharp, final motion. Go. Yu-Fei’s fish will rot. The law won’t wait for you to catch up. She walked toward the door. The green neon sign pulsed outside. The damp cold waited beyond the threshold. She didn’t look back. The bell chimed again, a fractured note cutting through the bar’s quiet hum.
created_at"2026-04-27T09:23:05.182Z" 4/27/2026, 9:23:05 AM
model"qwen/qwen3.6-35b-a3b-20260415"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency706
moderation_latency(null)
generation_time100921
tokens_prompt1094
tokens_completion6878
native_tokens_prompt1060
native_tokens_completion6294
native_tokens_completion_images(null)
native_tokens_reasoning4460
native_tokens_cached0
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"
usage0.006246155
router(null)
provider_responses
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is_byokfalse
latency706
model_permaslug"qwen/qwen3.6-35b-a3b-20260415"
provider_name"AtlasCloud"
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Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1377
totalAiIsmAdverbs0
found(empty)
highlights(empty)
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)
38.27% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1377
totalAiIsms17
found
0
word"fractured"
count2
1
word"pulse"
count1
2
word"traced"
count3
3
word"throbbed"
count1
4
word"weight"
count3
5
word"silence"
count2
6
word"aligned"
count1
7
word"calculate"
count1
8
word"navigate"
count1
9
word"echoed"
count1
10
word"pulsed"
count1
highlights
0"fractured"
1"pulse"
2"traced"
3"throbbed"
4"weight"
5"silence"
6"aligned"
7"calculate"
8"navigate"
9"echoed"
10"pulsed"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"hung in the air"
count1
highlights
0"hung in the air"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences209
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount5
hedgeCount0
narrationSentences209
filterMatches
0"see"
1"look"
2"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences209
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen22
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1377
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
16.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions50
wordCount1377
uniqueNames14
maxNameDensity1.89
worstName"You"
maxWindowNameDensity4.5
worstWindowName"You"
discoveredNames
Soho1
Raven1
Nest1
London2
Silas5
Prague1
Cardiff3
Edinburgh1
King1
Cross1
Brendan1
You26
Yu-Fei3
Don3
persons
0"Raven"
1"Nest"
2"Silas"
3"King"
4"Cross"
5"Brendan"
6"You"
7"Yu-Fei"
places
0"Soho"
1"London"
2"Prague"
3"Cardiff"
4"Edinburgh"
globalScore0.556
windowScore0.167
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences107
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1377
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences209
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs78
mean17.65
std14.3
cv0.81
sampleLengths
0112
163
26
312
412
529
613
78
814
910
1013
118
1217
1317
146
1516
1626
1716
1822
1922
207
2111
2218
2320
2429
2532
2610
2723
285
2915
3012
3126
3210
3312
3422
355
3622
379
3826
3927
403
4121
4230
434
4425
4513
4614
4729
487
497
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences209
matches
0"being traced"
1"were supposed"
77.45% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount5
totalVerbs272
matches
0"was still stitching"
1"was looking"
2"were playing"
3"was learning"
4"were building"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences209
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1387
adjectiveStacks0
stackExamples(empty)
adverbCount29
adverbRatio0.02090843547224225
lyAdverbCount1
lyAdverbRatio0.0007209805335255948
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences209
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences209
mean6.59
std3.93
cv0.596
sampleLengths
017
115
222
312
417
514
615
715
810
911
1015
1112
126
135
147
155
167
1715
1814
191
209
213
222
236
248
256
2610
274
285
294
304
314
3212
334
341
355
364
376
382
391
405
4116
428
436
442
4510
465
4711
489
491
35.17% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats31
diversityRatio0.24880382775119617
totalSentences209
uniqueOpeners52
35.65% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences187
matches
0"Once on paper."
1"Once on the street."
ratio0.011
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount114
totalSentences187
matches
0"She pulled her coat tighter,"
1"Her left wrist ached where"
2"His hazel eyes lifted over"
3"He set the cloth down,"
4"You still drink the same"
5"It keeps the cold out."
6"I see you haven’t upgraded"
7"He moved to the far"
8"I didn’t expect to find"
9"I had to fold with"
10"She tracked the condensation pooling"
11"Her fingers traced the wooden"
12"You look like a ghost"
13"I live above the bookshelf."
14"You kept the place."
15"I kept the lock."
16"He poured a measure of"
17"I saw the postcard."
18"You crossed the water and"
19"She reached into her coat"
ratio0.61
2.78% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount171
totalSentences187
matches
0"The green neon sign buzzed"
1"Aurora pushed through the heavy"
2"The Raven’s Nest swallowed the"
3"Amber light caught the edges"
4"Maps covered the remaining plaster,"
5"She pulled her coat tighter,"
6"Her left wrist ached where"
7"Silas stood behind the polished"
8"His hazel eyes lifted over"
9"The grey-streaked auburn hair above"
10"He set the cloth down,"
11"A slight limp carried his"
12"You still drink the same"
13"It keeps the cold out."
14"I see you haven’t upgraded"
15"The glasses hold the spirit."
16"The spirit doesn’t care about"
17"He moved to the far"
18"The neat trim of his"
19"I didn’t expect to find"
ratio0.914
26.74% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences187
matches
0"Now you sit in the"
ratio0.005
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences40
technicalSentenceCount1
matches
0"I work for a restaurant owner who ships fish at midnight."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags0
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
81.0909%