Run: 2026-03-11-01KKFH43F4QMGX70GJHB6ZNCN4

Run Details

Duration:
1m 3s
Cost:
$0.000765
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
Rain blown against the windowpane rattled the glass frame, dimming the glow from the streetlights outside. The neon sign flickered, blinking green before stabilizing. Inside, the air smelled of stale tobacco and polished mahogany. Silas Blackwood wiped the counter with a cloth of synthetic weave, his left foot twitching slightly against the floorboards whenever his weight shifted. He worked with rhythmic precision. A measure of gin, a splash of tonic, the gentle clink of ice. The silver signet ring rotated on his right hand as he turned the bottle. It caught the dim bar light, a cold flash of ownership. The door chime jingled, jarring the quiet. Water dripped from a coat soaked in grey rain onto the counter. Silas did not look up immediately. He poured the drink, capped the bottle, set it down with the same quiet authority as before. Then he looked. Aurora Carter stood by the entrance, shaking droplets from her thick wool coat. The collar was pulled up. Her eyes, usually bright blue as the sky before the storm, were heavy with fatigue. She wore a flat cap on her straight black hair. "Rory," he said. The name hung in the smoke. Aurora stepped past the hostess stand. Her silhouette cast a long shadow against the wall covered in old maps. She stopped, balanced on one foot, and sighed. The weight of the years pressed itself into her chest, making her shoulders hunch toward her ears. "Si," she whispered. Silas finished pouring one last drink. He wiped the glass, his hand lingering on the rim. "You look different." "I work delivery nights." "Where the furniture went." The silence stretched. Aurora leaned against the bar. Her left wrist rested out of sight. The small crescent scar from her childhood accident gleamed dimly under the dim light whenever she lifted her arm. "You don't have the job anymore." "I have to pay rent." Silas took the glass from the bar and placed it on the coaster in front of her. "You talked about law school." The months she studied in Cardiff, the debt she burned through for books. The old life she left in panic when the ex abused her. Silas knew the details. They had discussed them once, years ago, before he retired. Before he buried himself in this place. "I went for the distance." "You wanted to escape the noise." He turned, his left leg buckling slightly. A white cane, now unused but not visible, rested near the counter. "And you came back to the noise." "Someone has to keep the lights on." Aurora tapped her fingers against the mahogany. "You ran the place ten years ago." "They didn't send me back then." "I know." The words came out sharp, then soft. "You ran away from us." "I did what I had to." He turned the signet ring. It spun like a planet. "You could have saved us." "From what?" She crossed her arms. Her elbows caved the inside of her jacket. "You don't get it, do you? I'm a delivery girl. I'm a delivery girl." Silas stood. He moved to the side of the counter. "You're Rory. You're the most educated woman in this city." "I'm just a woman with a flat cap." "You're smart. You were always smarter than us." "How helpful that is now." "You can't keep doing this. Not for long. You're going to lose it." "I hate it when you sound like a father." "It's not a job." His eyes narrowed. "It's a habit." Aurora looked at the maps behind him. She traced the lines of London streets with her eyes. The Raven's Nest. The place she lived above and the place she should have been working at herself. She had spent nights delivering pizzas in the rain. She had spent nights editing contracts in London's offices. She had spent years running from the life she earned. "I'm not doing this for you." "You're doing it for everyone." He walked to the back. The bookshelf had shifted subtly against the wall. "Come here." He wanted to show her the room. The place in London where Eli and the others went. The back room hidden behind the maps. "I'm just a—" "Rory. Come here." She moved toward the shadow. Her pace quickened. The delivery note in her pocket vibrated, the phone buzzing against the coin purse. Stop delivery. New shift. The secret room pulled back a sliver to the side, revealing maps of Prague and Berlin. "Aurora." "Stop this." Silas gestured at the shelf. "I haven't seen you since you left London in '09." "How much is a year?" She jerked her hand up. "Enough for three life cycles." "You haven't aged." "You lie." She placed her hand on his arm. His skin felt rough. "You're stalling." "I don't know what I want." "Come back. Be ruthless. Be smart." "I'm just a woman." "You're Aurora." The light in the room shifted as the neon sign outside flickered green, then died. Silas stepped closer. His coat didn't smell like the bar anymore. It smelled like rain and old paper. He leaned in. "I'm waiting." Aurora nodded. She reached into her pocket and pulled out a receipt. It was a long receipt from sales she didn't know. "Look." The paper rustled in the silence. The maps hung motionless in the dim room. The signet ring sat on the table. "I'm not going back." Silas turned away. He raised the single drink in his hand. "Then don't drink it." He took a long slug. The liquid burned his throat. The salt shot into the taste. She turned. "I'm not here for the money." "Then what?" "I don't know." "You know." "I'm just tired." "I know." The weight of time settled between them. The past diffused into the smoke. The maps faded. The bar faded. Silas watched her. She watched back. "I see you." The door chime rang again. A stranger walked in, taking the seat on the other side of the room. The light stayed dim. The neon buzzed, flickering in the long dark. The door opened again. Silas stood. He wiped the glass. "It's not the past." "It's a memory." "Then forget it." He watched her take the glass. She drank. She wiped her lips. "I'm hungry." "Order." "I don't want to stay." "Then go." She put the empty glass on the table. The clink sounded loud. "I'll be back." "Someday." The light on the table faded. She left. The door closed. The neon buzzed on. Silis stood alone. The silence filled the space. Slowly, the ceiling light picked up his reflection. He drank. The signet ring caught the light. It turned away. Aurora moved. He watched her go. She walked.
created_at"2026-03-11T22:43:54.644Z" 3/11/2026, 10:43:54 PM
model"qwen/qwen3.5-9b-20260310"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency747
moderation_latency(null)
generation_time56883
tokens_prompt1094
tokens_completion4630
native_tokens_prompt1060
native_tokens_completion4394
native_tokens_completion_images(null)
native_tokens_reasoning2910
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"
usage0.0007651
router(null)
provider_responses
0
endpoint_id"00d506d9-a5e9-4382-a2b9-d54732365594"
id"oagiKGQ-3pDw3Z-9dae14aa93f56528"
is_byokfalse
latency747
model_permaslug"qwen/qwen3.5-9b-20260310"
provider_name"Together"
status200
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api_type"completions"
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total_cost0.0007651
cache_discount(null)
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provider_name"Together"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags12
adverbTagCount0
adverbTags(empty)
dialogueSentences65
tagDensity0.185
leniency0.369
rawRatio0
effectiveRatio0
86.58% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1118
totalAiIsmAdverbs3
found
0
adverb"slightly"
count2
1
adverb"slowly"
count1
highlights
0"slightly"
1"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)
37.39% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1118
totalAiIsms14
found
0
word"flickered"
count2
1
word"synthetic"
count1
2
word"weight"
count3
3
word"rhythmic"
count1
4
word"long shadow"
count1
5
word"silence"
count3
6
word"traced"
count1
7
word"quickened"
count1
8
word"vibrated"
count1
highlights
0"flickered"
1"synthetic"
2"weight"
3"rhythmic"
4"long shadow"
5"silence"
6"traced"
7"quickened"
8"vibrated"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes narrowed"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells1
narrationSentences117
matches
0"t in panic"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences117
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences170
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen23
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1118
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions29
wordCount834
uniqueNames11
maxNameDensity1.32
worstName"Silas"
maxWindowNameDensity2.5
worstWindowName"Silas"
discoveredNames
Blackwood1
Carter1
Silas11
Cardiff1
Aurora7
London3
Raven1
Nest1
Eli1
Prague1
Berlin1
persons
0"Blackwood"
1"Carter"
2"Silas"
3"Aurora"
4"Raven"
5"Eli"
places
0"Cardiff"
1"London"
2"Prague"
3"Berlin"
globalScore0.841
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences66
glossingSentenceCount1
matches
0"smelled like rain and old paper"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1118
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences170
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs92
mean12.15
std13.21
cv1.087
sampleLengths
057
143
245
343
49
544
63
719
84
94
1034
116
1227
1346
145
1532
1621
176
1814
1916
205
2128
2220
238
248
255
2613
279
2810
2963
306
3120
3224
333
343
3526
3616
371
382
3915
4015
413
4213
432
446
456
464
472
4815
4921
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences117
matches
0"was pulled"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs154
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences170
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount834
adjectiveStacks0
stackExamples(empty)
adverbCount23
adverbRatio0.027577937649880094
lyAdverbCount7
lyAdverbRatio0.008393285371702638
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences170
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences170
mean6.58
std4.33
cv0.658
sampleLengths
016
18
210
323
45
513
614
711
87
912
106
1117
123
1313
145
1515
1610
173
186
196
2013
218
2217
233
246
2510
263
274
284
293
305
317
3219
336
3422
355
3613
3712
384
3910
407
415
4213
4312
447
4514
467
476
489
495
38.82% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats19
diversityRatio0.19411764705882353
totalSentences170
uniqueOpeners33
64.10% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences104
matches
0"Then he looked."
1"Slowly, the ceiling light picked"
ratio0.019
58.46% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount42
totalSentences104
matches
0"He worked with rhythmic precision."
1"It caught the dim bar"
2"He poured the drink, capped"
3"Her eyes, usually bright blue"
4"She wore a flat cap"
5"Her silhouette cast a long"
6"She stopped, balanced on one"
7"He wiped the glass, his"
8"Her left wrist rested out"
9"They had discussed them once,"
10"He turned, his left leg"
11"He turned the signet ring"
12"It spun like a planet."
13"She crossed her arms"
14"Her elbows caved the inside"
15"He moved to the side"
16"His eyes narrowed"
17"She traced the lines of"
18"She had spent nights delivering"
19"She had spent nights editing"
ratio0.404
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount100
totalSentences104
matches
0"Rain blown against the windowpane"
1"The neon sign flickered, blinking"
2"Silas Blackwood wiped the counter"
3"He worked with rhythmic precision."
4"A measure of gin, a"
5"The silver signet ring rotated"
6"It caught the dim bar"
7"The door chime jingled, jarring"
8"Water dripped from a coat"
9"Silas did not look up"
10"He poured the drink, capped"
11"Aurora Carter stood by the"
12"The collar was pulled up."
13"Her eyes, usually bright blue"
14"She wore a flat cap"
15"The name hung in the"
16"Aurora stepped past the hostess"
17"Her silhouette cast a long"
18"She stopped, balanced on one"
19"The weight of the years"
ratio0.962
48.08% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences104
matches
0"Before he buried himself in"
ratio0.01
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences29
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags12
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount1
fancyTags
0"she whispered (whisper)"
dialogueSentences65
tagDensity0.031
leniency0.062
rawRatio0.5
effectiveRatio0.031
87.2256%