Run: 2026-10-20-01M5C6PSHJ5NA9YCH5SQY24TRG

Run Details

Duration:
21.9s
Cost:
$0.007062
Provider:
Together

Model input

System
You are an expert novelist with a gift for vivid, immersive prose. You write in tight third-person limited point of view with a strong narrative voice. Your prose is clean, precise, and engaging — you favor strong verbs, concrete details, and natural-sounding dialogue. You will be given a story bible (codex) containing canonical details about characters, locations, items, and lore. Use these details to ground your writing in the established world. Stay consistent with the codex. Write only the prose of the scene. Do not include titles, chapter headings, markdown formatting, or any commentary before or after the scene.
User/Human
<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> 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.

Model response

AI
The Raven’s Nest smelled of wet wool and lemon polish, and the green neon sign in the window bled a sickly halo through the rain. Rory came down the back stairs with her delivery bag still over one shoulder, her black hair damp at the ends, and found Silas behind the bar drying a glass with a cloth that had seen better decades. He looked up, took in her soaked jacket and the Golden Empress logo peeling at the corner, and raised one grey-streaked eyebrow. “You’re dripping on my floor,” he said. “It’s London,” she said. “Everything drips.” He poured her tea without asking, which was one of the reasons she stayed. The bar was quiet for a Tuesday—two old men arguing softly over a folded newspaper, a woman in the corner reading a paperback with the spine cracked white. The walls were crowded with old maps and black-and-white photographs, faces from another century staring out through the smoke. Rory sat on the stool nearest the bookshelf door, the hidden one that swung inward to the back room, and wrapped her hands around the cup. The scar on her left wrist caught the light, a small crescent, pale against her skin. She was halfway through the tea when the door opened and a group came in laughing, shaking rain from their coats. Three of them. Two men in suits, one woman in a red trench. Rory didn’t look up until one of them stopped. “Aurora Carter.” The voice went through her like a wire pulled tight. She set the cup down slowly and turned. Theo Marsh. Older, broader through the shoulders, his dark hair cut close at the sides and styled with something that cost more than her weekly shop. He wore a charcoal suit and a watch that flashed when he moved. He was staring at her as if she’d risen out of the floor. “Theo,” she said. “God.” He laughed, but it was a nervous sound, the laugh of a man who’d walked into a room expecting one thing and found another. “I thought—I mean, I didn’t think I’d ever see you again.” His colleagues hovered behind him. He waved them toward a table with a quick flick of his fingers, and they went, glancing back. Theo came closer, his shoes squeaking on the worn boards. He stopped a few feet away, and she watched him take her in—the delivery jacket, the damp hair, the cup of tea instead of a glass of wine. Something changed in his face. Not pity, exactly. Recognition, maybe, of a person he used to know and now didn’t. “You look—” He stopped himself. “How are you?” “Fine,” she said. “Fine.” He repeated it like a word in a foreign language. “Last I heard you were going to tear through the Bar. Your father was telling anyone who’d listen. Pre-Law at Cardiff, then chambers, then—I don’t know. The Supreme Court?” “Plans change.” “Do they?” Silas had stopped drying the glass. He wasn’t watching them openly, but Rory knew the set of his shoulders, the way his right hand rested on the bar with the silver signet ring catching the light. He was listening. He was always listening. Theo pulled out the stool beside her. He didn’t sit. “I called you,” he said. “After you left. Your number was dead. I emailed. Nothing. Eva said you were fine, and I—I don’t know. I believed her because it was easier.” “Eva was being kind.” “Were you? Fine?” The question hung there. Rory looked at the maps on the wall, the old cartographer’s lines of the Thames, and thought about the answer she’d given everyone for the last year. Fine. It had become a password, a way of closing doors. She could feel Theo waiting, and she could feel the shape of the truth pressing against her teeth. “I’m here,” she said. Theo sat down. He loosened his tie with one finger, a gesture she remembered from late nights in the library, and she felt a sudden, unwelcome ache for the person she’d been then—the girl who’d argued about tort law until the porters kicked them out, who’d worn her hair in a neat knot and never flinched at a raised voice. “You’re delivering food,” he said, not unkindly. “I’m working.” “For Yu-Fei Cheung?” “You know her?” “I know the Golden Empress. Best dumplings in Soho.” He tried a smile. She didn’t give him one back. “I’m not judging you, Rory.” “You’re doing something.” “I’m trying to understand.” He leaned forward, his elbows on the bar. “You were the calmest person I knew. The most certain. You used to say the law was just a set of tools, and you knew how to use every one. Now you look like you’re waiting for the room to turn on you.” She felt her jaw tighten. “People change.” “Not like this.” The door opened again, letting in a gust of cold air and a man’s loud laugh. Rory flinched. It was small, just a tightening of her fingers around the cup, but Theo saw it. His eyes flicked to the door and back to her, and something in his face shifted—a door opening onto a room he’d spent years pretending wasn’t there. “Who was he?” Theo asked quietly. “No one.” “Rory.” “Don’t.” Theo sat back. He looked at the bar, at Silas, who had resumed drying the glass with an air of studied neutrality. Then he looked at Rory’s left wrist. She pulled her sleeve down over the scar, but it was too late. He’d already seen it. “I saw the way he talked to you,” Theo said. “At the Christmas party. Third year. He made a joke about your dissertation, and you laughed, and I thought—I thought you were just being polite. Then I saw you flinch when he put his hand on your back.” He paused. “I told myself it was none of my business.” “It wasn’t.” “That’s what I told myself.” His voice was low. “I should have said something.” “There was nothing to say.” “There was everything to say.” He rubbed his thumb along the grain of the bar. “I looked for you. Not just called. I went to your flat. Your landlord said you’d gone. I asked Eva, and she said you needed space. I thought—I don’t know what I thought. That you’d come back when you were ready.” Rory stared at the tea. The surface had gone still. She could see her own reflection in it, dark and distorted. “I’m not the person you remember,” she said. “I know.” “Then stop looking for her.” Theo was quiet for a long moment. The old men at the end of the bar folded their newspaper and left. The woman with the paperback turned a page. Silas set down the glass and picked up another, his movements slow and deliberate. “I’m not looking for her,” Theo said finally. “I’m looking at you.” He met her eyes. “You’re different. You’re harder. You keep checking the door. You hold your cup like it’s a weapon. But you’re still here. You’re still—” He stopped. “I don’t know. You’re still Rory.” She wanted to tell him that Rory had died somewhere between Cardiff and London, somewhere between Evan’s fist and the first night she’d slept in a bus shelter because she had nowhere else. But that wasn’t true. Rory was still there. She was just buried under layers of silence and survival. “I have to go,” Theo said, glancing at his colleagues. “They’ll think I’ve been kidnapped.” He reached into his pocket and pulled out a card. He set it on the bar between them, face up. His name, his chambers, a phone number. “If you ever want to talk,” he said. “Or not talk. Just—have a drink. A proper one. Not tea.” Rory didn’t touch the card. Theo stood. He hesitated, then leaned down and kissed her cheek, a quick brush of warmth that made her close her eyes. “It’s good to see you,” he said. “Even like this.” He walked back to his colleagues. She watched him sit, watched him pick up a menu and laugh at something the woman in the red trench said. He didn’t look back. Silas came over. His limp was more pronounced tonight, the old knee injury stiff in the damp. He picked up the card and turned it over, then set it back down. “You going to leave that there?” he asked. Rory looked at the card. It was a small rectangle of white, clean and expensive. A door she could close or open. She picked it up.
created_at"2026-10-20T08:26:35.961Z" 10/20/2026, 8:26:35 AM
model"deepseek/deepseek-v4.1-flash-20261017"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency57
moderation_latency(null)
generation_time21878
tokens_prompt846
tokens_completion6332
native_tokens_prompt842
native_tokens_completion5863
native_tokens_completion_images(null)
native_tokens_reasoning3927
native_tokens_cached768
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"
service_tier(null)
usage0.007062408
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1792484795-c16c9tRzkBH4uCv0Pzou"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1792484795-BYQLmMCmWgWASrHmCWE4"
upstream_id"2f1d34ad-aws_ue1"
provider_responses
0
endpoint_id"34cd16bf-a525-40b2-beeb-5f1809202c06"
id"2f1d34ad-aws_ue1"
is_byokfalse
latency57
model_permaslug"deepseek/deepseek-v4.1-flash-20261017"
provider_name"Together"
status200
total_cost0.007062408
cache_discount0.000225792
upstream_inference_cost0
provider_name"Together"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags24
adverbTagCount2
adverbTags
0"Theo asked quietly [quietly]"
1"Theo said finally [finally]"
dialogueSentences57
tagDensity0.421
leniency0.842
rawRatio0.083
effectiveRatio0.07
93.08% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1446
totalAiIsmAdverbs2
found
0
adverb"softly"
count1
1
adverb"slowly"
count1
highlights
0"softly"
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)
79.25% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1446
totalAiIsms6
found
0
word"eyebrow"
count1
1
word"could feel"
count2
2
word"flicked"
count1
3
word"silence"
count1
4
word"warmth"
count1
highlights
0"eyebrow"
1"could feel"
2"flicked"
3"silence"
4"warmth"
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
narrationSentences101
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences101
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences133
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen58
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1437
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions29
unquotedAttributions0
matches(empty)
66.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions40
wordCount1039
uniqueNames13
maxNameDensity1.25
worstName"Theo"
maxWindowNameDensity3
worstWindowName"Theo"
discoveredNames
Raven1
Nest1
Silas5
Golden1
Empress1
Tuesday1
Marsh1
Rory12
Thames1
Theo13
Cardiff1
London1
Evan1
persons
0"Raven"
1"Nest"
2"Silas"
3"Rory"
4"Theo"
5"Evan"
places
0"Marsh"
1"Thames"
2"Cardiff"
3"London"
globalScore0.874
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences56
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1437
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences133
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs60
mean23.95
std24.9
cv1.04
sampleLengths
085
17
26
3103
443
52
618
752
83
936
1081
118
123
1340
142
152
1643
1741
184
193
2060
214
2260
237
242
253
263
2724
283
2955
307
313
3261
336
342
351
361
3746
3859
392
4014
415
4256
4321
448
452
465
4743
4847
4951
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences101
matches
0"been then"
53.48% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs182
matches
0"was staring"
1"wasn’t watching"
2"was listening"
3"was always listening"
56.93% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount0
flaggedSentences4
totalSentences133
ratio0.03
matches
0"The bar was quiet for a Tuesday—two old men arguing softly over a folded newspaper, a woman in the corner reading a paperback with the spine cracked white."
1"He stopped a few feet away, and she watched him take her in—the delivery jacket, the damp hair, the cup of tea instead of a glass of wine."
2"He loosened his tie with one finger, a gesture she remembered from late nights in the library, and she felt a sudden, unwelcome ache for the person she’d been then—the girl who’d argued about tort law until the porters kicked them out, who’d worn her hair in a neat knot and never flinched at a raised voice."
3"His eyes flicked to the door and back to her, and something in his face shifted—a door opening onto a room he’d spent years pretending wasn’t there."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1046
adjectiveStacks0
stackExamples(empty)
adverbCount30
adverbRatio0.028680688336520075
lyAdverbCount9
lyAdverbRatio0.008604206500956023
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences133
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences133
mean10.8
std10.07
cv0.932
sampleLengths
025
138
222
37
44
52
614
728
819
926
1016
1121
123
1310
149
152
1610
178
182
1924
2013
2113
223
2325
2411
255
2618
2710
2828
295
303
3112
325
333
343
3511
3629
372
382
396
4030
413
424
437
443
455
4626
474
483
494
45.11% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats10
diversityRatio0.3157894736842105
totalSentences133
uniqueOpeners42
39.68% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences84
matches
0"Then he looked at Rory’s"
ratio0.012
0.95% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount46
totalSentences84
matches
0"He looked up, took in"
1"He poured her tea without"
2"She was halfway through the"
3"She set the cup down"
4"He wore a charcoal suit"
5"He was staring at her"
6"He laughed, but it was"
7"His colleagues hovered behind him."
8"He waved them toward a"
9"He stopped a few feet"
10"He stopped himself"
11"He repeated it like a"
12"He wasn’t watching them openly,"
13"He was listening."
14"He was always listening."
15"He didn’t sit."
16"It had become a password,"
17"She could feel Theo waiting,"
18"He loosened his tie with"
19"he said, not unkindly"
ratio0.548
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount78
totalSentences84
matches
0"The Raven’s Nest smelled of"
1"Rory came down the back"
2"He looked up, took in"
3"He poured her tea without"
4"The bar was quiet for"
5"The walls were crowded with"
6"Rory sat on the stool"
7"The scar on her left"
8"She was halfway through the"
9"Rory didn’t look up until"
10"The voice went through her"
11"She set the cup down"
12"He wore a charcoal suit"
13"He was staring at her"
14"He laughed, but it was"
15"His colleagues hovered behind him."
16"He waved them toward a"
17"Theo came closer, his shoes"
18"He stopped a few feet"
19"Something changed in his face."
ratio0.929
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences84
matches(empty)
ratio0
89.29% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences40
technicalSentenceCount3
matches
0"Rory came down the back stairs with her delivery bag still over one shoulder, her black hair damp at the ends, and found Silas behind the bar drying a glass wit…"
1"Older, broader through the shoulders, his dark hair cut close at the sides and styled with something that cost more than her weekly shop."
2"He loosened his tie with one finger, a gesture she remembered from late nights in the library, and she felt a sudden, unwelcome ache for the person she’d been t…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags24
uselessAdditionCount1
matches
0"he said, not unkindly"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags17
fancyCount2
fancyTags
0"He laughed (laugh)"
1"He repeated (repeat)"
dialogueSentences57
tagDensity0.298
leniency0.596
rawRatio0.118
effectiveRatio0.07
80.8148%