Run: 2026-04-27-01KQ74SY6KTB1K8990KH7J8Y8D

Run Details

Duration:
1m 58s
Cost:
$0.024185
Provider:
Morph

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
Rain slicked the cobblestones outside The Raven’s Nest. The green neon sign buzzed against the dark, bleeding into the puddles. Rory pushed the heavy oak door, the brass bell chiming once. She wiped her palms on her jacket, the delivery bags still slung over one shoulder. The inside held the usual low hum of clinking glass and low voices. Map paper lined the walls, yellowed at the edges, pinned above black-and-white photographs of unknown figures. Silas stood behind the counter, polishing a tumbler, the slight drag of his left leg never breaking his rhythm. Rory reached the bar, set her bags on the stool beside her. She ordered a whiskey, neat. The glass slid toward her, condensation weeping down the side. She wrapped her fingers around it, tracing the crescent scar on her left wrist, the old childhood fall from a garden wall still tender in memory. A voice cut through the murmur. “You still drink like you’re preparing for cross-examination.” The sound hit her spine. She turned. A man stood two stools down, one hand resting on the back of a vacant seat. He wore a charcoal coat that fit too perfectly, his hair shaved close, a silver ring glinting on his finger where a cheap plastic friendship band used to sit. His jaw had squared out, his eyes carried a flat weight she didn’t recognise. Declan. Declan from Cardiff. Declan who used to steal her cigarettes and write terrible poetry on bus tickets. “You lost?” He laughed, a short sound that never reached his eyes. “Just passing through. Heard a name mentioned at a firm down King Street. Thought I’d chase the ghost of old times.” She set her elbows on the wood. “What times?” “Cardiff. Third year. That damp flat behind the student union.” He stepped closer, the bar stretching between them like a drawn line. “You didn’t send a word when you left.” “I left.” “You vanished.” She took a sip, let the burn settle in her throat. “People move. Trains don’t wait.” He sat, knees knocking against the stool edge. The leather creaked. “I kept the keys to the spare. Told myself you’d circle back. Kept the door unlocked for two winters.” Rory traced the condensation ring on the counter. “Why are you here?” “Needed a drink. Didn’t expect a mirror.” She tilted the glass. “You look different.” “Good different or bad different?” “Tired different.” He nodded, slow. “Boardroom lights don’t leave much shade. You still look like you walk through rain without an umbrella. Same hair. Same blue eyes. Like a photograph somebody forgot to file.” “Don’t flatter yourself.” “I’m not. Just stating facts. You were always the sharp one. I was the one who chased the noise. Look where it left me.” He rubbed his thumb over his knuckles, the skin stretched tight. “Promotions. Glass desks. A view of the Thames I can’t afford to look at without thinking about the drop.” “And now?” “Now I’m here. Talking to the only person who remembers when I couldn’t tie a proper knot.” She slid the glass toward the centre of the bar. “You tied knots fine. You just liked showing them off.” “We both liked the performance. You with your mock debates and me with my cheap theatrics.” He leaned forward, elbows on the wood. “Did you ever finish the essay you were writing that winter? The one on the dockworkers?” “Dropped it. Switched tracks. Deliveries pay steadier than lectures.” “You traded poetry for parcels.” “I traded hunger for a roof.” “Same trade I made.” His voice dropped. “Went back to the old address last week. Knocked on the door. Landlady said you’d been gone three years. I stood on the step with a bottle of something expensive and felt like a boy who lost a game he didn’t know the rules of.” Rory’s thumb rested on the scar. “You never called.” “I didn’t know what I’d say. Would I tell you I got the fellowship? Would I tell you I watched the city chew you down? Would I ask why you cut every thread?” “Threads fray when people stop tugging.” “Or when people pull too hard.” She set the glass down. “I pulled. You let go. Which is it?” “Both.” He exhaled through his nose. “I thought you’d stay. Thought we’d carve out a corner of the world that didn’t demand we sell our voices. You looked at London like a puzzle waiting to be solved. I looked at it like a trap. Turned out I was right, and I was wrong. You found your way. I built a cage and painted it gold.” “You’re in London now.” “I’m in London. You’re behind a counter, living above a bar, wrapping yourself in quiet.” Silas moved past them, setting a fresh rag on a high shelf, his shadow stretching long across the map paper. The old operative never looked their way. “That always was your trick. You never asked for permission to disappear into the work.” “I asked you to come. Replied with silence.” He tapped the counter. “Silence is a language. I just learned to read it too late.” She picked up her glass again. “What do you want from me now?” “A drink. An apology. A way to unspool ten years without sounding like a man selling a timeshare.” He met her eyes. “I want to know if you regret it. The leaving. The clean break.” “Regret is a heavy coat. Doesn’t keep you warm.” “It keeps you company.” “I prefer walking light.” He nodded, the ring on his hand catching the dim light. “You always did. That’s what I hated. That’s what I admired.” She tilted her head. “Hate and admiration share the same root.” “They share the same wound.” He reached into his coat, pulled out a faded photograph. Paper creased at the corners. Two figures stood on a wet promenade, one holding a broken umbrella, the other laughing with arms spread wide. Rory’s eyes fixed on the girl in the picture. The black hair cut shorter, the eyes bright, the jacket too big for her frame. “Found this in a drawer.” He slid it toward her. “You kept the umbrella. I didn’t know you hated rain that much.” “I hated waiting for it to stop.” Her fingers brushed the edge of the photo. The paper felt thick, worn. “You always stood in the storm to see what it would do.” “And you packed a suitcase and walked away.” “Different survival tactics.” He let out a quiet breath, shoulders dropping a fraction. “I learned the hard way that storms don’t care about posture.” She wrapped her hand around the glass again. “What now?” “I’ll finish the drink. I’ll take the train back to King’s Cross. I’ll go back to the office and the glass desks and the view.” He tapped the photo, pushed it back across the wood. “You’ll finish your shift. Go upstairs. Lock the door.” “You say it like we’re already ghosts.” “We are. Just haunting different rooms.” She held his gaze. “Then haunt louder.” He smiled, the lines around his mouth deepening. “Some habits don’t change.” She lifted the glass to her lips, the condensation cooling her scar. The neon sign outside flickered once, casting a green pulse across the map-covered walls. Silas kept polishing the same tumbler, the rhythm steady against the low clatter of ice and distant traffic.
created_at"2026-04-27T09:37:24.189Z" 4/27/2026, 9:37:24 AM
model"qwen/qwen3.6-27b-20260422"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1044
moderation_latency(null)
generation_time117799
tokens_prompt1094
tokens_completion10687
native_tokens_prompt1060
native_tokens_completion9834
native_tokens_completion_images(null)
native_tokens_reasoning8733
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"
usage0.0241846
router(null)
provider_responses
0
endpoint_id"826cab4e-dc26-4472-83be-e4ddd5ebd2ab"
id"e30be5501a234c4c91317120c5f34314"
is_byokfalse
latency819
model_permaslug"qwen/qwen3.6-27b-20260422"
provider_name"Morph"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777282644-pLSAhun2cgHaUyzJPMaa"
session_id(null)
api_type"completions"
id"gen-1777282644-Hw6Xs85B3B2CwFs8abdx"
upstream_id"e30be5501a234c4c91317120c5f34314"
total_cost0.0241846
cache_discount(null)
upstream_inference_cost0
provider_name"Morph"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags11
adverbTagCount0
adverbTags(empty)
dialogueSentences64
tagDensity0.172
leniency0.344
rawRatio0
effectiveRatio0
95.94% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1233
totalAiIsmAdverbs1
found
0
adverb"perfectly"
count1
highlights
0"perfectly"
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)
67.56% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1233
totalAiIsms8
found
0
word"tracing"
count1
1
word"glinting"
count1
2
word"weight"
count1
3
word"traced"
count1
4
word"silence"
count2
5
word"flickered"
count1
6
word"pulse"
count1
highlights
0"tracing"
1"glinting"
2"weight"
3"traced"
4"silence"
5"flickered"
6"pulse"
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
narrationSentences59
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences59
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences112
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen59
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1233
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions10
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions15
wordCount566
uniqueNames7
maxNameDensity0.88
worstName"Rory"
maxWindowNameDensity1.5
worstWindowName"Rory"
discoveredNames
Raven1
Nest1
Cardiff1
Rory5
Silas3
Paper1
Declan3
persons
0"Rory"
1"Silas"
2"Paper"
places
0"Raven"
1"Cardiff"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences41
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1233
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences112
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs58
mean21.26
std21.44
cv1.008
sampleLengths
094
153
214
384
42
531
69
730
82
92
1016
1130
1212
137
147
155
162
1732
183
1954
202
2117
2220
2339
249
255
266
2752
289
2933
306
316
3213
3365
344
3557
368
3716
3813
3935
409
414
424
4322
4411
4563
4622
4732
488
493
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences59
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs90
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences112
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount569
adjectiveStacks0
stackExamples(empty)
adverbCount9
adverbRatio0.015817223198594025
lyAdverbCount1
lyAdverbRatio0.0017574692442882249
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences112
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences112
mean11.01
std9.44
cv0.857
sampleLengths
08
112
211
315
413
516
619
712
85
910
1026
116
128
135
142
1516
1629
1714
181
193
2014
212
2210
2321
247
252
2622
278
282
292
3011
315
328
333
3419
358
364
377
384
393
405
412
423
4329
443
4535
4619
472
4817
4910
64.29% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.4017857142857143
totalSentences112
uniqueOpeners45
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences57
matches(empty)
ratio0
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount32
totalSentences57
matches
0"She wiped her palms on"
1"She ordered a whiskey, neat."
2"She wrapped her fingers around"
3"He wore a charcoal coat"
4"His jaw had squared out,"
5"He laughed, a short sound"
6"She set her elbows on"
7"He stepped closer, the bar"
8"She took a sip, let"
9"He sat, knees knocking against"
10"She tilted the glass."
11"He nodded, slow."
12"He rubbed his thumb over"
13"She slid the glass toward"
14"He leaned forward, elbows on"
15"His voice dropped"
16"She set the glass down."
17"He exhaled through his nose"
18"He tapped the counter."
19"She picked up her glass"
ratio0.561
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount56
totalSentences57
matches
0"Rain slicked the cobblestones outside"
1"The green neon sign buzzed"
2"Rory pushed the heavy oak"
3"She wiped her palms on"
4"The inside held the usual"
5"Map paper lined the walls,"
6"Silas stood behind the counter,"
7"Rory reached the bar, set"
8"She ordered a whiskey, neat."
9"The glass slid toward her,"
10"She wrapped her fingers around"
11"A voice cut through the"
12"The sound hit her spine."
13"A man stood two stools"
14"He wore a charcoal coat"
15"His jaw had squared out,"
16"Declan from Cardiff."
17"Declan who used to steal"
18"He laughed, a short sound"
19"She set her elbows on"
ratio0.982
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences57
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences23
technicalSentenceCount1
matches
0"Declan who used to steal her cigarettes and write terrible poetry on bus tickets."
79.55% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags11
uselessAdditionCount1
matches
0"He rubbed, the skin stretched tight"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
83.5778%