Run: 2026-04-25-01KQ2DNJ084G2D3GKTKDHC2CYF

Run Details

Duration:
24.3s
Cost:
$0.000535
Provider:
DeepSeek

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 rain had slicked the Soho streets to a mirror by the time Rory pushed through the door of the Raven's Nest. The bell jangled overhead, a tinny sound swallowed by the low murmur of conversation and the crackle of vinyl from the corner booth where Silas kept his record collection. She shook the water from her shoulders, ran a hand through her straight black hair, and nodded at the old spymaster behind the bar. He was polishing a glass with methodical precision, his silver signet ring catching the amber light. He dipped his chin in return, a gesture that said everything and nothing. She was already reaching for the stool when she saw him. He was perched at the far end of the bar, hunched over a half-empty pint of something dark. The man had the same sharp jawline she remembered, the same way of holding his shoulders like he was bracing for a blow. But the eyes—when he looked up, they were wrong. They used to be bright, reckless, full of a fire that dared the world to try him. Now they were flat, the color of old pennies, and they held her for a beat too long before recognition flickered. “Rory?” His voice had dropped an octave. Or maybe he’d just stopped shouting. “Tom.” She let the name sit between them, tasting how strange it felt on her tongue. “Tommy Fletcher.” He winced at the childhood name. “It’s just Tom now.” She slid onto the stool beside him, leaving one empty seat as a buffer. Silas appeared without a sound, set a napkin in front of her, and waited. She didn’t have to order. He knew her well enough: soda water with a slice of lime, because she was still on the clock and Yu-Fei would skin her if she came back smelling like whiskey. “I didn’t know you were in London,” she said. “Didn’t know you were either.” Tom swirled his glass, watching the liquid cling to the sides. “Last I heard, you were still in Cardiff. Pre-Law, right? Following the old man’s footsteps.” “I walked out.” “Good.” It came out too fast, too sharp. He caught himself, ran a hand through hair that was thinning at the temples. There were lines around his mouth she didn’t remember, grooves carved by something heavier than laughter. The sleeves of his jacket rode up when he reached for his pint, and she saw a fresh bandage peeking out from beneath the cuff. She didn’t ask. “Three years,” she said instead. “It’s been three years since you disappeared. Since the fire.” Tom set his pint down with more care than the gesture required. “The fire. Is that what they’re calling it?” “What else would I call it?” Her voice stayed even, but her hand tightened around the soda water. “You torched your parents’ garage, Tommy. The one your dad used to fix up old motors. You were sixteen, and you burned it to the ground, and then you vanished. No note, no call, nothing.” “I was seventeen.” “Does it matter?” “It matters to me.” He turned to face her fully, and she saw that the flatness in his eyes was a shield, not a vacancy. “You don’t know what happened.” “You’re right. I don’t.” She set her glass down. “So tell me.” He laughed, but it was hollow. “You always did that. Pushed right through the door without knocking.” “I’m still waiting.” The vinyl crackled, a slow saxophone bleeding through the bar. Tom stared at the bottles lined up behind Silas like soldiers on a wall. His fingers drummed once against the counter, then stopped. “He was selling them,” he said finally. “The motors. They were stolen. He was stripping them down, changing the VINs, selling them out the back of a warehouse in Newport. I found the paperwork in his desk when I was looking for stamps. I was twelve.” Rory’s breath caught. She remembered Tom’s father—a broad-shouldered man with a booming laugh and a habit of cuffing his son on the back of the head hard enough to stagger. She’d never liked him. But she’d never thought about why. “I didn’t burn it down because I was angry,” Tom continued, his voice dropping to something barely audible. “I burned it down because he was inside. He was drunk, passed out on the couch with a cigarette still burning. The place was full of gasoline cans and rags. It would’ve gone up whether I lit the match or not.” Rory opened her mouth, but the words didn’t come. “I pulled him out,” Tom said. “Dragged him across the lawn while the whole street watched. And when the firemen came, they found the cars. Two of them still had plates from a dealership that had been robbed three weeks before. My dad went to prison. My mum couldn’t look at me. So I left.” “You were a kid.” “I was old enough to know what I was doing.” He picked up his pint, drank half of it in one long swallow. “I’ve been running ever since. Belfast, Manchester, Glasgow, now here. Different names, different jobs. Never stay long enough to leave a mark.” Rory stared at the crescent-shaped scar on her own wrist, a reminder of a fall from a tree when she was nine. Tom had been there. He’d carried her to his mum’s kitchen, pressed a towel to the blood, and told her it would be fine. He’d been fourteen, all elbows and earnestness, and he had promised her the scar would be a story she’d tell one day, something to make her sound brave. She hadn’t seen him since. “I thought you were dead,” she said, and the words came out raw, scraped clean of pretense. “For years, I thought you were dead. Your mum moved away, nobody knew where. I looked for you, Tommy. I looked.” “I know.” “Did you even think about me?” He flinched. The shield cracked, just for a second, and she saw something underneath that made her stomach drop. Not anger. Not regret. Something worse. Grief. “Every day,” he said. “Every goddamn day.” The rain hammered against the windows. A couple at the other end of the bar laughed at something, the sound too loud in the quiet space between them. Silas was polishing the same glass he’d been working on ten minutes ago, his attention fixed somewhere far away. “I had a daughter,” Tom said. Rory went still. “Her name was Maggie. She was four years old. Brown eyes like her mother, hair like mine when I was young. She liked strawberries and hated the rain and she called me Dad like it was the most important word in the world.” He wasn’t looking at her anymore. He was staring at his hands, the bandage on his wrist, the cracks in his knuckles. “She died last winter. Pneumonia. It was fast. One week she was running around the flat, the next she was gone. Her mother—she couldn’t handle it. Blamed me, blamed herself, blamed the universe. We fell apart. I fell apart.” Rory reached out, placed her hand on the bar beside his, close enough that their fingers almost touched. “I’m sorry,” she said. “Don’t be. I don’t deserve it.” “That’s not for you to decide.” He looked up at her then, and the flatness in his eyes was gone. In its place was something raw, bleeding, human. He looked like the boy who had carried her out of a tree, who had promised her the scar would be a story. He looked like a stranger who had once been her best friend. “I’m not the same person,” he said. “Neither am I.” She let the silence settle, then added, “But I still remember who you were.” He held her gaze for a long moment. The rain kept falling. The bar kept breathing. And somewhere in the space between who they had been and who they were now, two old friends found a quiet place to sit with the weight of unspoken years.
created_at"2026-04-25T13:36:05.644Z" 4/25/2026, 1:36:05 PM
model"deepseek/deepseek-v4-flash-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency677
moderation_latency(null)
generation_time24138
tokens_prompt1094
tokens_completion2023
native_tokens_prompt992
native_tokens_completion1773
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached896
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"
usage0.000534968
router(null)
provider_responses
0
endpoint_id"722e0746-2034-4d6e-a08f-e6271849ee9e"
id"a86fe154-a464-40f5-8a08-be076a09eeff"
is_byokfalse
latency277
model_permaslug"deepseek/deepseek-v4-flash-20260423"
provider_name"DeepSeek"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777124165-BajLu8Ya4chUMExVK87M"
session_id(null)
api_type"completions"
id"gen-1777124165-X7YNXcvICZWf3AjvXFl5"
upstream_id"a86fe154-a464-40f5-8a08-be076a09eeff"
total_cost0.000534968
cache_discount0.000100352
upstream_inference_cost0
provider_name"DeepSeek"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags17
adverbTagCount2
adverbTags
0"she said instead [instead]"
1"he said finally [finally]"
dialogueSentences45
tagDensity0.378
leniency0.756
rawRatio0.118
effectiveRatio0.089
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1346
totalAiIsmAdverbs0
found(empty)
highlights(empty)
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)
70.28% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1346
totalAiIsms8
found
0
word"methodical"
count1
1
word"flickered"
count1
2
word"footsteps"
count1
3
word"reminder"
count1
4
word"stomach"
count1
5
word"silence"
count1
6
word"weight"
count1
7
word"unspoken"
count1
highlights
0"methodical"
1"flickered"
2"footsteps"
3"reminder"
4"stomach"
5"silence"
6"weight"
7"unspoken"
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
narrationSentences76
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences76
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences104
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen49
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1343
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions20
unquotedAttributions0
matches(empty)
66.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions22
wordCount871
uniqueNames7
maxNameDensity0.92
worstName"Tom"
maxWindowNameDensity3
worstWindowName"Tom"
discoveredNames
Soho1
Rory6
Raven1
Nest1
Silas4
Yu-Fei1
Tom8
persons
0"Rory"
1"Raven"
2"Silas"
3"Yu-Fei"
4"Tom"
places
0"Soho"
globalScore1
windowScore0.667
55.66% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences53
glossingSentenceCount2
matches
0"looked like the boy who had carried her o"
1"looked like a stranger who had once been"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1343
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences104
matches
0"saw that the"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs53
mean25.34
std24.7
cv0.975
sampleLengths
0104
111
288
31
412
518
610
764
89
931
103
111
1262
133
1415
1520
1653
173
183
1930
2012
2117
223
2333
2446
2540
2659
279
2855
294
3045
3174
325
3338
342
356
3625
371
387
3947
406
413
4243
4322
4439
4518
464
476
486
4957
91.41% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences76
matches
0"was perched"
1"been fourteen"
2"was gone"
0.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount7
totalVerbs149
matches
0"was polishing"
1"was already reaching"
2"was bracing"
3"was thinning"
4"was polishing"
5"wasn’t looking"
6"was staring"
87.91% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount0
flaggedSentences2
totalSentences104
ratio0.019
matches
0"But the eyes—when he looked up, they were wrong."
1"She remembered Tom’s father—a broad-shouldered man with a booming laugh and a habit of cuffing his son on the back of the head hard enough to stagger."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount877
adjectiveStacks0
stackExamples(empty)
adverbCount30
adverbRatio0.03420752565564424
lyAdverbCount3
lyAdverbRatio0.0034207525655644243
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences104
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences104
mean12.91
std10.47
cv0.811
sampleLengths
022
129
224
316
413
511
618
723
89
917
1021
111
126
136
1416
152
166
174
1814
1914
205
2131
229
2316
2415
253
261
277
2814
2916
3025
313
325
3310
3412
358
3618
3735
383
393
4025
415
429
433
446
4511
463
4710
4814
499
47.76% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats12
diversityRatio0.3557692307692308
totalSentences104
uniqueOpeners37
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences65
matches(empty)
ratio0
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount36
totalSentences65
matches
0"She shook the water from"
1"He was polishing a glass"
2"He dipped his chin in"
3"She was already reaching for"
4"He was perched at the"
5"They used to be bright,"
6"His voice had dropped an"
7"She let the name sit"
8"He winced at the childhood"
9"She slid onto the stool"
10"She didn’t have to order."
11"He knew her well enough:"
12"It came out too fast,"
13"He caught himself, ran a"
14"She didn’t ask."
15"she said instead"
16"Her voice stayed even, but"
17"He turned to face her"
18"She set her glass down"
19"He laughed, but it was"
ratio0.554
13.85% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount58
totalSentences65
matches
0"The rain had slicked the"
1"The bell jangled overhead, a"
2"She shook the water from"
3"He was polishing a glass"
4"He dipped his chin in"
5"She was already reaching for"
6"He was perched at the"
7"The man had the same"
8"They used to be bright,"
9"His voice had dropped an"
10"She let the name sit"
11"He winced at the childhood"
12"She slid onto the stool"
13"Silas appeared without a sound,"
14"She didn’t have to order."
15"He knew her well enough:"
16"Tom swirled his glass, watching"
17"It came out too fast,"
18"He caught himself, ran a"
19"The sleeves of his jacket"
ratio0.892
76.92% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences65
matches
0"Now they were flat, the"
ratio0.015
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences33
technicalSentenceCount1
matches
0"He dipped his chin in return, a gesture that said everything and nothing."
36.76% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags17
uselessAdditionCount3
matches
0"Her voice stayed, but her hand tightened around the soda water"
1"Tom continued, his voice dropping to something barely audible"
2"she said, and the words came out raw, scraped clean of pretense"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags10
fancyCount1
fancyTags
0"Tom continued (continue)"
dialogueSentences45
tagDensity0.222
leniency0.444
rawRatio0.1
effectiveRatio0.044
78.2408%