Run: 2026-03-11-01KKFJTGZGPQP04GQ0DQR1DD3D

Run Details

Duration:
1m 6s
Cost:
$0.000830
Provider:
Together

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 hummed above the door, flickering like a dying heartbeat against the Soho rain. Water pooled on the pavement outside The Raven's Nest, swirling around the soles of curry stains left by delivery boots. Aurora turned the collar up against the cold, dragging her keys behind her thighs. The flat above had been cold for three years, which meant the bar downstairs smelled stale and dusty now. She told the landlord she was tired. He handed her a bottle and told her to go. Inside, the air went still. Dust motes danced in the streetlight cut through the window. The bar counter gleamed under the amber glass of the decanters. Maps of the city stuck to the walls in uneven, handwritten layers told stories of wars nobody saw. A bottle of gin sat on the mat next to a coaster. Rory tapped the bottom tin with her knuckle. She needed a drink from the real fridge, not the cupboard. Silas stood by the pool table in the backroom. His shoulder hunched under the weight of the coat he had never taken off. He didn't hear the bell ring. Rory stepped through the curtain separating the front bar from his office. He looked back. His eyes widened. He stopped breathing visible through the crack of the doorframe. Rory froze on the threshold. You tracking me? Rory asked. Silas stood with his left leg locked stiff. He said nothing. His silver signet ring on the right hand caught the light. I'm working. You know the deal, Rory added. She stepped into the room. Rory walked to the back wall. The temper of a decade settled between them that no one named. We know you're doing things. That's why I'm here. Rory asked. I have a job. I have to deliver orders. That's all I do, Silas said. He leaned against the wall. She shifted the weight of her handbag. The scar on her left wrist burned. It might be a thing of old. Let me out, Rory said. I can't let you leave. Silas said. Why not? Rory demanded. Because I owe you a list. Sometimes you need to take sugar over salt. Rory's grip on the phone tightened. Her thumb moved over the keys. I don't need a list. I have a schedule. Rory put the phone down. Rory shook her head. She didn't take the phone. She stood over the table. She said nothing for a moment. The purple ring of the neon flickered in the walls. Rory said I have to leave. The air shifted. The silence was heavy. Silas said Rory sits too long. Rory took a step back. She let her eyes drift to the ceiling. She saw shadows dancing. The rain kept hitting the windows. Silas said you need a drink. Rory looked at him again. Her throat closed up. She said I'll see you later. She said the words inside and saw them fly out of his throat. She didn't wait. She pushed against his hand. Silas held the door open slightly. The sound of rain rushed. She stepped down. Rory opened the door. Silas looked at her hand. The scar on the wrist was small. It was crescent shaped. It shimmered in the rain. Rory said I'll go. Silas looked at the ring. He said you're always here. Rory's voice didn't rise. It didn't falter. I'm not always here. Rory held the coat tighter against the damp air. Silas said Rory. Her lip trembled for a second. She said I'm good at this job. Rory turned. The wind caught her hair. She ate the silence like it was bread. Her eyes met him for a second too long. The floorboards creaked. The hallway light broke the path. She didn't listen. The door slammed shut in her face. Aurora locked the door quickly. She dropped her keys on the mat. They jumped. The keys clicked against the floor. She turned the lights off. The shadows stretched out again. The smell of the rain faded into the smell of the clean clothes. She washed her hands in the sink above the bowl. The towel was cold. Her knuckles were red from the bag grip. Silas leaned against the doorframe in the other room. His fingers rubbed the ring. He sighed. Rory walked across the street. She opened the bus seat. The air in there smelled of old wool. She looked down at the scar. She rubbed it with her thumb. It burned. The bus turned onto the road. Her image faded. The grey pub remained. Silas watched the rain from the top shelf. He put the glass down. He walked back to the front. The bar was empty. The maps stayed on the wall. The door was locked. Rory stood for a minute. The water dripped from the roof. She talked to herself. It sounded like a ghost. Rory walked to work. The rain followed her. She stumbled over a puddle. Her foot hit the curb hard. She didn't cry. The cold stayed.
created_at"2026-03-11T23:13:31.644Z" 3/11/2026, 11:13:31 PM
model"qwen/qwen3.5-9b-20260310"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency317
moderation_latency(null)
generation_time65537
tokens_prompt1094
tokens_completion4945
native_tokens_prompt1060
native_tokens_completion4830
native_tokens_completion_images(null)
native_tokens_reasoning3760
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"
usage0.0008305
router(null)
provider_responses
0
endpoint_id"00d506d9-a5e9-4382-a2b9-d54732365594"
id"oagsRVv-6Ng1vN-9dae400d108e3c25"
is_byokfalse
latency317
model_permaslug"qwen/qwen3.5-9b-20260310"
provider_name"Together"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1773270811-ZZrEuz2pdEpVmIKw3YNX"
upstream_id"oagsRVv-6Ng1vN-9dae400d108e3c25"
total_cost0.0008305
cache_discount(null)
upstream_inference_cost0
provider_name"Together"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
88.10% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount840
totalAiIsmAdverbs2
found
0
adverb"slightly"
count1
1
adverb"quickly"
count1
highlights
0"slightly"
1"quickly"
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)
52.38% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount840
totalAiIsms8
found
0
word"weight"
count2
1
word"flickered"
count1
2
word"silence"
count2
3
word"dancing"
count1
4
word"shimmered"
count1
5
word"trembled"
count1
highlights
0"weight"
1"flickered"
2"silence"
3"dancing"
4"shimmered"
5"trembled"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes widened"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences137
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences137
filterMatches
0"know"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences137
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen20
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords840
ratio0
matches(empty)
69.44% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions9
unquotedAttributions2
matches
0"You know the deal, Rory added."
1"Let me out, Rory said."
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions40
wordCount840
uniqueNames5
maxNameDensity2.98
worstName"Rory"
maxWindowNameDensity5.5
worstWindowName"Rory"
discoveredNames
Soho1
Raven1
Nest1
Rory25
Silas12
persons
0"Nest"
1"Rory"
2"Silas"
places
0"Soho"
1"Raven"
globalScore0.012
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences63
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount840
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences137
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs37
mean22.7
std17.59
cv0.775
sampleLengths
087
175
262
35
422
513
618
711
820
926
107
114
1226
1314
1430
1513
166
1723
1815
1919
2022
2125
224
2317
2413
259
2614
2717
2819
2930
3035
3116
3232
3313
3429
3524
3625
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences137
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs178
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences137
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount840
adjectiveStacks0
stackExamples(empty)
adverbCount13
adverbRatio0.015476190476190477
lyAdverbCount3
lyAdverbRatio0.0035714285714285713
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences137
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences137
mean6.13
std3.4
cv0.555
sampleLengths
017
120
214
319
47
510
65
710
811
918
1012
118
1211
139
1414
156
1612
173
183
1910
205
213
222
238
243
2511
262
276
285
296
3012
315
324
332
344
355
366
375
387
397
407
415
425
432
442
452
466
478
486
496
37.59% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats17
diversityRatio0.1678832116788321
totalSentences137
uniqueOpeners23
26.25% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences127
matches
0"Sometimes you need to take"
ratio0.008
31.02% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount60
totalSentences127
matches
0"She told the landlord she"
1"He handed her a bottle"
2"She needed a drink from"
3"His shoulder hunched under the"
4"He didn't hear the bell"
5"He looked back."
6"His eyes widened."
7"He stopped breathing visible through"
8"You tracking me?"
9"He said nothing."
10"His silver signet ring on"
11"You know the deal, Rory"
12"She stepped into the room."
13"We know you're doing things."
14"I have a job."
15"I have to deliver orders."
16"He leaned against the wall."
17"She shifted the weight of"
18"It might be a thing"
19"I can't let you leave."
ratio0.472
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount123
totalSentences127
matches
0"The green neon sign hummed"
1"Water pooled on the pavement"
2"Aurora turned the collar up"
3"The flat above had been"
4"She told the landlord she"
5"He handed her a bottle"
6"Dust motes danced in the"
7"The bar counter gleamed under"
8"Maps of the city stuck"
9"A bottle of gin sat"
10"Rory tapped the bottom tin"
11"She needed a drink from"
12"Silas stood by the pool"
13"His shoulder hunched under the"
14"He didn't hear the bell"
15"Rory stepped through the curtain"
16"He looked back."
17"His eyes widened."
18"He stopped breathing visible through"
19"Rory froze on the threshold."
ratio0.969
39.37% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences127
matches
0"Because I owe you a"
ratio0.008
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences19
technicalSentenceCount1
matches
0"The flat above had been cold for three years, which meant the bar downstairs smelled stale and dusty now."
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
81.4717%