Run: 2026-04-27-01KQ78FGSRZ5MF9VT7RC3CY4BW

Run Details

Duration:
4m 6s
Cost:
$0.057444
Provider:
Alibaba

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 lashed against the frosted windowpane of The Raven’s Nest. The green neon sign outside bled a sickly emerald glow across the scarred wooden tables. Old maps curled at the edges on the walls, their ink faded to the colour of weak tea. Black and white photographs of strangers hung crooked in brass frames. Silas moved behind the counter, his left leg dragging a fraction with each step. He polished a tumbler with a linen cloth. The silver signet ring on his right hand caught the low light as he set the glass down. Aurora Carter traced the rim of her own glass. Her fingers stopped at the crescent scar on her left wrist. The whiskey inside had warmed to room temperature. She watched the door. The brass bell above the entrance chimed. A draft of damp London air cut through the stale warmth of the room. A woman stepped inside, shaking rain from a wool coat that cost more than three months of delivery wages. She paused on the threshold. Her eyes scanned the dim interior, passing over the empty stools, the shadowed corners, the maps. They landed on the corner table. Rory straightened. Her breath caught in her throat. Eva crossed the floor. Her boots clicked against the floorboards, sharp and deliberate. She stopped at the edge of the table. Water dripped from her hem onto the wood. You kept the hair short. Rory lifted her chin. The black strands brushed her shoulders. She kept her hands flat on the table. You dyed yours blonde. Eva slid into the opposite chair. She unbuttoned the coat with precise movements. The fabric fell open to reveal a silk blouse and a collarbone that jutted too sharp against the skin. She placed a leather handbag on the empty seat beside her. Three years changes the palette. Cardiff drains the colour out of you anyway. I just sped up the process. Silas limped over. He set a coaster on the table. His hazel eyes flicked between the two women. He waited. Gin. No ice. Slice of lemon. Silas nodded once. He turned back to the shelves, his bad knee catching slightly as he pivoted. Rory watched Eva’s hands. The nails were filed to perfect ovals, painted a deep oxblood. A thin gold chain rested against her throat. The girl who used to share a packet of crisps on the steps of the student union had vanished. This woman carried herself like a drawn blade. You never answered the letters. I sent three to the old address in Cathays. The last one came back with a red stamp. Eva picked up a beer mat. She turned it over in her fingers. The cardboard bent at the corners. I moved around. Post does not follow you when you burn the forwarding address. I heard you left before the lease ended. Neighbours said you packed a single suitcase and vanished in the middle of the night. Rory’s thumb pressed against the crescent scar. The skin there felt thicker than the rest. I took the first train out. Evan made staying impossible. You knew that. You were the one who handed me the timetable. Eva’s jaw tightened. She set the beer mat down. The edges aligned perfectly with the grain of the table. I handed you a leaflet for a women’s shelter. I told you to call the police. I did not tell you to run to London and cut every tie you had. You ghosted your mother. You ghosted me. You let everyone believe you fell off the earth. The gin arrived. Silas placed the glass on the coaster. Condensation beaded on the outside. He retreated to the far end of the bar, wiping down the counter with slow, methodical strokes. Eva lifted the glass. She took a sip. Her throat worked as she swallowed. She set it down without looking at the liquid. I went to the shelter. They were full. I slept on a bench in Bute Park for two nights. Then I called a number I found on a community board. The woman who answered had a flat in Soho and needed someone to watch the door. I took it. I learned to keep my head down. I learned to stop waiting for apologies that never come. Rory leaned forward. The green neon painted a sharp line across her cheekbone. Her bright blue eyes held steady. You changed your voice. You speak like you are reading from a corporate manual. You used to laugh until you choked. Now you sit there measuring your words like rationed sugar. What happened to you? Eva’s fingers curled around the glass. The knuckles whitened. She stared at the maps on the far wall, at the faded coastlines of countries that no longer existed. I grew up. I stopped bleeding for people who never bothered to bring a bandage. You ran from Evan. Good. You survived. But you left the rest of us to clean up the wreckage. Your father called me every week for six months. He asked if I knew where you were. I lied. I told him you were safe. I carried that lie while you delivered takeaways and hid above a pub. Rory’s shoulders stiffened. She kept her voice level. The cool edge she had cultivated over three years held firm. I sent money home. Every month. I paid off the credit cards Evan maxed out in my name. I rebuilt what he shattered. I did it alone. You wanted me to stay and play the victim in a city that already knew my business. I chose breathing. Eva laughed. The sound came out dry, fractured. She shook her head. A blonde strand fell across her forehead. She did not brush it away. Breathing. Right. You call this breathing? You sit in a tomb with a retired spy polishing glasses and pretend you found peace. Look at you. You scan the exits. You keep your back to the wall. You flinch when the bell rings. You did not escape. You just built a smaller cage. Rory’s hand drifted to her wrist again. The scar burned under her touch. She forced her fingers to relax. She met Eva’s gaze. The years between them stretched across the table, thick and suffocating. I work. I pay rent. I sleep through the night. That is more than I had when I left Cardiff. You walk in here wearing a coat that costs a fortune and judge the walls I put up. You do not get to measure my survival against your guilt. Eva’s mouth pressed into a thin line. She reached into her bag. Her movements slowed. She pulled out a folded envelope. The paper was thick, cream-coloured, sealed with wax. She slid it across the table. It stopped inches from Rory’s glass. Your mother asked me to give you this. She found it in your old desk. She thought you might want it back. I told her I would not see you. I lied again. I came here because I needed to know if you were still the girl who shared her lecture notes, or if London carved you into something else entirely. Rory stared at the envelope. Her name was written in familiar looping script. The ink had smudged at the edges. She did not reach for it. You could have posted it. I needed to look you in the eye. I needed to see if you remembered who you were before he broke you. I see it now. You remember. You just chose to bury her. The bell above the door chimed again. A group of strangers stumbled in, shaking off umbrellas, laughing at a joke neither woman heard. The noise swelled, then faded as they claimed a booth near the photographs. Silas moved to serve them, his limp more pronounced on the wet floor. Eva stood. She buttoned her coat. The wool concealed the sharp angles of her frame. She picked up her bag. Her fingers lingered on the strap. I leave for Manchester in the morning. The firm transferred me. I will not be back this way. Keep the letter. Burn it. Frame it. I do not care. I just needed to stop carrying it. Rory kept her hands on the table. Her spine remained straight. The green neon pulsed against the window, steady and unyielding. You never asked if I wanted you to stay. Eva’s gaze dropped to the envelope. Her throat tightened. She turned toward the door. I already know the answer.
created_at"2026-04-27T10:41:37.089Z" 4/27/2026, 10:41:37 AM
model"qwen/qwen3.6-max-preview-20260420"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1460
moderation_latency(null)
generation_time245614
tokens_prompt1094
tokens_completion7869
native_tokens_prompt1060
native_tokens_completion7188
native_tokens_completion_images(null)
native_tokens_reasoning5392
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"
usage0.0574444
router(null)
provider_responses
0
endpoint_id"ca7fc0c7-f23d-4ac5-b2e0-945be5b61787"
id"chatcmpl-91a2de88-e17f-9f3f-b2fc-d63949263c70"
is_byokfalse
latency1460
model_permaslug"qwen/qwen3.6-max-preview-20260420"
provider_name"Alibaba"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777286497-RJf3M8yxFLuh7i20rH6i"
session_id(null)
api_type"completions"
id"gen-1777286497-ZoXPct8b8pJUi5ha03HC"
upstream_id"chatcmpl-91a2de88-e17f-9f3f-b2fc-d63949263c70"
total_cost0.0574444
cache_discount(null)
upstream_inference_cost0
provider_name"Alibaba"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
92.97% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1422
totalAiIsmAdverbs2
found
0
adverb"slightly"
count1
1
adverb"perfectly"
count1
highlights
0"slightly"
1"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)
57.81% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1422
totalAiIsms12
found
0
word"traced"
count1
1
word"warmth"
count1
2
word"scanned"
count1
3
word"silk"
count1
4
word"flicked"
count1
5
word"perfect"
count1
6
word"aligned"
count1
7
word"methodical"
count1
8
word"shattered"
count1
9
word"fractured"
count1
10
word"familiar"
count1
11
word"pulsed"
count1
highlights
0"traced"
1"warmth"
2"scanned"
3"silk"
4"flicked"
5"perfect"
6"aligned"
7"methodical"
8"shattered"
9"fractured"
10"familiar"
11"pulsed"
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
narrationSentences196
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences196
filterMatches
0"see"
hedgeMatches
0"happened to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences196
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen28
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1422
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions70
wordCount1422
uniqueNames15
maxNameDensity1.9
worstName"You"
maxWindowNameDensity5
worstWindowName"You"
discoveredNames
Raven1
Nest1
Carter1
London3
Eva12
Cathays1
Bute1
Park1
Soho1
Evan3
Cardiff2
Rory10
Manchester1
Silas5
You27
persons
0"Raven"
1"Carter"
2"Eva"
3"Evan"
4"Rory"
5"Silas"
6"You"
places
0"London"
1"Cathays"
2"Bute"
3"Park"
4"Soho"
5"Cardiff"
6"Manchester"
globalScore0.551
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences120
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1422
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences196
matches
0"carried that lie"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs46
mean30.91
std19.74
cv0.639
sampleLengths
094
132
267
38
429
55
618
74
843
919
1020
116
1217
1350
1423
1519
1637
1715
1822
1919
2047
2132
2223
2366
2419
2535
2628
2772
2819
2947
3025
3152
3234
3349
3441
3561
3626
375
3834
3949
4026
4136
4221
439
4414
455
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences196
matches
0"were filed"
1"was written"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs287
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences196
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1423
adjectiveStacks0
stackExamples(empty)
adverbCount30
adverbRatio0.02108222066057625
lyAdverbCount4
lyAdverbRatio0.0028109627547434997
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences196
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences196
mean7.26
std4.42
cv0.61
sampleLengths
010
115
218
311
414
58
618
79
811
98
104
117
1214
1319
145
1516
166
172
186
194
209
218
228
235
244
256
268
274
286
297
3019
3111
325
338
346
353
367
378
382
391
402
413
423
4314
444
4511
468
4719
488
495
34.18% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats31
diversityRatio0.21428571428571427
totalSentences196
uniqueOpeners42
18.52% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences180
matches
0"Then I called a number"
ratio0.006
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount107
totalSentences180
matches
0"He polished a tumbler with"
1"Her fingers stopped at the"
2"She watched the door."
3"She paused on the threshold."
4"Her eyes scanned the dim"
5"They landed on the corner"
6"Her breath caught in her"
7"Her boots clicked against the"
8"She stopped at the edge"
9"You kept the hair short."
10"She kept her hands flat"
11"You dyed yours blonde."
12"She unbuttoned the coat with"
13"She placed a leather handbag"
14"I just sped up the"
15"He set a coaster on"
16"His hazel eyes flicked between"
17"He turned back to the"
18"You never answered the letters."
19"I sent three to the"
ratio0.594
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount171
totalSentences180
matches
0"Rain lashed against the frosted"
1"The green neon sign outside"
2"Silas moved behind the counter,"
3"He polished a tumbler with"
4"The silver signet ring on"
5"Aurora Carter traced the rim"
6"Her fingers stopped at the"
7"The whiskey inside had warmed"
8"She watched the door."
9"The brass bell above the"
10"A draft of damp London"
11"A woman stepped inside, shaking"
12"She paused on the threshold."
13"Her eyes scanned the dim"
14"They landed on the corner"
15"Her breath caught in her"
16"Eva crossed the floor."
17"Her boots clicked against the"
18"She stopped at the edge"
19"Water dripped from her hem"
ratio0.95
27.78% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences180
matches
0"Now you sit there measuring"
ratio0.006
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences45
technicalSentenceCount2
matches
0"A woman stepped inside, shaking rain from a wool coat that cost more than three months of delivery wages."
1"The fabric fell open to reveal a silk blouse and a collarbone that jutted too sharp against the skin."
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
81.0418%