Run: 2026-04-25-01KQ2EESMHH7Q6FKJK53PVVNVG

Run Details

Duration:
1m 35s
Cost:
$0.003786
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 neon green sign of The Raven's Nest hummed its electric complaint against the damp Soho evening. Aurora ducked inside, shucking off her rain-speckled jacket. The bar smelled of lemon oil and the sweet rot of spilled lager. She’d clocked forty-two deliveries for Golden Empress since noon. Her calves burned. Silas stood behind the counter, polishing glasses with the mechanical patience of a man who’d once dismantled triggers blindfolded. He lifted his chin—the usual silent greeting—and she slid onto her usual stool. “Fu Yung was stiffing me on the Charing Cross runs again,” she said. “You’ll negotiate.” “I’ll grumble.” Silas set a glass of soda water before her. The door swung open on a gust of traffic fumes. A man’s voice cut through the ambient jazz. “God above—Rory?” She turned. For a heartbeat the name hung between them, a misshapen key trying a lock it no longer fit. The man at the door wore a well-cut overcoat, damp at the shoulders, and carried a leather messenger bag slung cross-body. Clean-shaven. Confident posture. A face she’d last seen across a seminar table in Cardiff, arguing tort principles. “James.” He crossed the room in three strides, hands out as if measuring a fish. “James Prentice. I don’t believe this. What are the bloody odds?” He stopped short, scanning her face, her worn sweater, the glass of soda water. “You look—” He paused too long. “I look what?” she asked, smiling but not inviting. “Different. I don’t know. Cheekbones. Something.” She’d lost eight kilos in the year she fled Evan. The weight had never returned. The face in her morning mirror was all planes and shadows now, the baby fat of her early twenties carved away by adrenaline and late-night escape plans. James gestured at the stool beside her. “May I?” Aurora tilted her head toward Silas, who was already pouring a Guinness without being asked. He’d catalogued the man in the first two seconds: forty pounds overweight from desk lunches, no calluses, left-handed watch wear, uneven sole on his left shoe from a hip imbalance. Silas could strip you to your bones without ever opening his mouth. James settled, draping his coat over the back of the stool. “It’s been—what—three years? Four?” “Closer to five.” “Five. Christ.” He took the stout from Silas, barely glancing up. “You just vanished.” She rolled the glass between her palms. “I moved.” “So I gathered. Eva said you were in London, but she wouldn’t say where. Shot down every question like a bloody bodyguard.” Eva had instructions. No forwarding details. No photos online. A complete cauterisation from Cardiff and everything in it. “Still with the Chinese place?” James asked, nodding at her jacket, which bore the Golden Empress logo now crumpled on the bar. “Something like that.” “I thought you’d be at the Bar by now. You were top of our year in Criminology. Professor Harwell still mentions your paper on diminished responsibility. ‘Aurora Carter’s analysis of automatism’—like holy writ in his lectures.” The praise hit her ribs like a sharp stone. She remembered that paper. The all-nighters in the library, the black coffee that stained her teeth, the sense of her mind clicking into a future she’d mapped with precision. Then Evan would call, his voice cloying, needing to know where she was, who she was with. The maps had burned up in the flat she didn’t pack when she left. “Plans changed,” she said. James leaned in. The scent of his eau de toilette, sandalwood and bergamot, reminded her of the student bar, of late-night debates they’d had about justice and equity. She’d been loud then. She’d had opinions she wasn’t afraid to swing like hammers. “I’m at 4 King’s Bench Walk now,” he said. “Pupillage finished last spring. Commercial law, mostly. Soul-destroying, but the rent pays itself.” He laughed at a joke she’d missed while he was telling it. “What about you? You still writing? You had those essays for that online magazine—sharp stuff.” She hadn’t written a sentence since the last message Evan sent her, a photo of her parents’ house taken from the street. She’d been too busy memorising bus routes and the weight of jasmine rice. “Not much time for that.” “What do you do with your time, then?” Aurora lifted her chin toward the kitchen door. “Delivery. Sometimes I help Silas here restock the cellar.” James’s expression flickered—a micro-grimace of confusion, pity, or the effort of hiding both. He covered it with a sip of Guinness. “Right. Well. London’s expensive, isn’t it? Smart to have multiple streams.” The condescension landed with the softness of a blade. “James,” Aurora said, her voice level, “I’m not between anything. This is what I do.” The jazz track on the hi-fi switched to something with a mournful trumpet. Silas moved down the counter to serve a couple near the window, his limp only perceptible to those who watched for it. Aurora had watched for months. She knew every creak of his brace, the way he shifted weight before a storm. James set down his glass. “Look, I’m arse at this. I didn’t mean—” He rubbed the back of his neck. “I just remember you, Rory. The way you were. That energy. You’d argue with a lamppost if it meant winning a point.” “Maybe lampposts won’t argue back.” He tried to laugh, but it expired in his throat. “Does your family know you’re here?” The question landed in the space between heartbeats. She’d sent her mother a postcard eight months after fleeing. A generic London skyline. “I’m safe,” it said. Nothing more. Her father’s unsent letters lived in a drawer at the flat upstairs, her guilt fossilising into inaction. “Some things are better left clean,” she said. James’s eyes drifted to her left wrist. The crescent-shaped scar peeked from beneath her sleeve. Not from Evan—she’d got it falling from her bike at age eight—but he didn’t know that. She saw him file it away, rearrange his memories, craft a narrative in which she was damaged goods. “Don’t,” she said. “Don’t what?” “Don’t build a theory. It’s just a scar.” He held up both hands. A courtroom gesture. “I’m not building anything.” Silas returned, moving a rag across the counter with the economy of a man who knew all exits. His hazel eyes met Aurora’s for a split second—a question, an offer. She gave a minute shake of her head. “How’s your mum?” James asked, retreating to safer ground. “Alive, I assume.” “And Evan? You two still—?” The name detonated in the room. Aurora felt her spine fuse into something older than bone. She saw the flat in Roath, the broken lock, the way he’d stand in the doorway and inventory her phone, her pockets, her excuses. The night she crawled through the kitchen window into Eva’s car, shoes still inside. “We are not,” she said, “still.” James’s face performed a slow collapse. “Right. Sorry. I didn’t keep up, obviously. I should have—I mean, someone said you’d split, but that was ages ago.” “Someone was right.” He drained the last of his stout. The glass left a wet ring on the bar top like a watermark in reverse. “I should go. I’m late for a dinner with chambers.” He didn’t move. Outside, a siren rose and faded. The green neon threw a sickly pallor onto the wet pavement. “It’s good to see you, James,” Aurora said, and meant it more than she expected. The five years between them were a chasm, but standing at its edge, she could still make out the girl on the other side—oxford shoes, library lanyard, revolutionary fervour about criminal justice. That girl had believed in order. In arguments that could be won. She hadn’t yet learned that some prisons don’t have bars. James stood and pulled on his coat. “Give me your number, at least. We’ll get a proper drink sometime.” She recited a number she’d memorised for emergencies. Not hers. An old pay-as-you-go that forwarded to a service she never checked. He tapped it into his phone. “I’ll ring you.” Already the suggestion was thinning into air, a promise that wouldn’t survive the Tube ride home. He paused at the door, silhouetted against the wet neon. “You know, it’s strange. I’ve won cases. Real ones. Quarter-of-a-million-pound settlements. And somehow I always felt like I was still catching up to you.” He didn’t wait for a reply. The door swung shut, and his shadow unspooled across the window and was gone. Silas refilled her soda water. The ice crackled in the sudden quiet. “Old colleague?” he asked. “Old life.” He placed his right hand on the bar, the signet ring clicking against the wood. “Those don’t usually walk into bars on a Tuesday.” She traced a finger through the condensation ring James had left behind. “This one did.” The trumpet on the hi-fi hit a final, lingering note. Upstairs, her flat waited with its single kettle, its stack of vinyls she’d bought secondhand, its view of nothing but a brick wall. She’d built it from scraps of silence and safety. James had seen her before the scrapheap, back when she was all blueprint and no foundation. His visit had shaken something loose—a dull ache in the shape of who she might have been. Silas said nothing more. He simply stood there, a man who understood that some interrogations were best left to memory.
created_at"2026-04-25T13:49:52.662Z" 4/25/2026, 1:49:52 PM
model"deepseek/deepseek-v4-pro-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1217
moderation_latency(null)
generation_time94891
tokens_prompt1094
tokens_completion4888
native_tokens_prompt992
native_tokens_completion4266
native_tokens_completion_images(null)
native_tokens_reasoning2049
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"
usage0.00378566
router(null)
provider_responses
0
endpoint_id"d084170b-dd99-4e53-9ae1-b63881f3cfbf"
id"44ca8e74-aa3e-4b0e-9b4c-cc6604c86a05"
is_byokfalse
latency284
model_permaslug"deepseek/deepseek-v4-pro-20260423"
provider_name"DeepSeek"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777124992-2KQ6nxPxZXEqD4j2YUt8"
session_id(null)
api_type"completions"
id"gen-1777124992-JLOI6xZHsQNeO9awdPQa"
upstream_id"44ca8e74-aa3e-4b0e-9b4c-cc6604c86a05"
total_cost0.00378566
cache_discount0.00035728
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
totalTags20
adverbTagCount1
adverbTags
0"He paused too [too]"
dialogueSentences53
tagDensity0.377
leniency0.755
rawRatio0.05
effectiveRatio0.038
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1576
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)
68.27% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1576
totalAiIsms10
found
0
word"electric"
count1
1
word"mechanical"
count1
2
word"scanning"
count1
3
word"weight"
count3
4
word"sense of"
count1
5
word"flickered"
count1
6
word"traced"
count1
7
word"silence"
count1
highlights
0"electric"
1"mechanical"
2"scanning"
3"weight"
4"sense of"
5"flickered"
6"traced"
7"silence"
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
narrationSentences117
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences117
filterMatches(empty)
hedgeMatches
0"tried to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences150
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen36
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1563
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions18
unquotedAttributions0
matches(empty)
99.24% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions49
wordCount1182
uniqueNames15
maxNameDensity1.02
worstName"James"
maxWindowNameDensity2
worstWindowName"James"
discoveredNames
Raven1
Nest1
Soho1
Golden2
Empress2
Silas9
Cardiff2
Evan4
Guinness2
James12
London1
Aurora8
Roath1
Eva2
Tube1
persons
0"Raven"
1"Nest"
2"Silas"
3"Evan"
4"James"
5"Aurora"
6"Eva"
places
0"Soho"
1"Cardiff"
2"London"
3"Roath"
globalScore0.992
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences86
glossingSentenceCount1
matches
0"as if measuring a fish"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1563
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount3
totalSentences150
matches
0"remembered that paper"
1"learned that some"
2"understood that some"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs68
mean22.99
std20.38
cv0.887
sampleLengths
082
113
22
32
419
510
658
71
845
99
106
1142
129
1357
1415
153
1614
179
1822
1918
2022
213
2236
2369
244
2542
2649
2735
285
298
3017
3132
329
3315
3455
3542
365
3716
3845
398
4049
413
422
438
4412
4538
469
473
485
4954
99.27% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences117
matches
0"being asked"
1"was gone"
96.91% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs194
matches
0"was already pouring"
1"was telling"
2"was thinning"
28.57% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount8
semicolonCount0
flaggedSentences6
totalSentences150
ratio0.04
matches
0"He lifted his chin—the usual silent greeting—and she slid onto her usual stool."
1"James’s expression flickered—a micro-grimace of confusion, pity, or the effort of hiding both."
2"Not from Evan—she’d got it falling from her bike at age eight—but he didn’t know that."
3"His hazel eyes met Aurora’s for a split second—a question, an offer."
4"The five years between them were a chasm, but standing at its edge, she could still make out the girl on the other side—oxford shoes, library lanyard, revolutionary fervour about criminal justice."
5"His visit had shaken something loose—a dull ache in the shape of who she might have been."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount689
adjectiveStacks0
stackExamples(empty)
adverbCount22
adverbRatio0.03193033381712627
lyAdverbCount5
lyAdverbRatio0.00725689404934688
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences150
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences150
mean10.42
std7.1
cv0.681
sampleLengths
017
18
213
39
43
519
613
713
82
92
109
1110
128
132
142
1518
1621
171
182
1914
201
2114
2225
236
249
256
2610
275
2827
297
302
3115
3230
3312
3411
354
363
3711
383
397
402
4122
423
433
443
459
4622
473
4836
499
54.22% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.35333333333333333
totalSentences150
uniqueOpeners53
64.10% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences104
matches
0"Then Evan would call, his"
1"Already the suggestion was thinning"
ratio0.019
66.15% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount40
totalSentences104
matches
0"She’d clocked forty-two deliveries for"
1"Her calves burned."
2"He lifted his chin—the usual"
3"He crossed the room in"
4"He stopped short, scanning her"
5"He paused too long"
6"she asked, smiling but not"
7"She’d lost eight kilos in"
8"He’d catalogued the man in"
9"He took the stout from"
10"She rolled the glass between"
11"She remembered that paper."
12"She’d been loud then."
13"She’d had opinions she wasn’t"
14"He laughed at a joke"
15"She hadn’t written a sentence"
16"She’d been too busy memorising"
17"He covered it with a"
18"She knew every creak of"
19"He rubbed the back of"
ratio0.385
3.27% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount95
totalSentences104
matches
0"The neon green sign of"
1"Aurora ducked inside, shucking off"
2"The bar smelled of lemon"
3"She’d clocked forty-two deliveries for"
4"Her calves burned."
5"Silas stood behind the counter,"
6"He lifted his chin—the usual"
7"Silas set a glass of"
8"The door swung open on"
9"A man’s voice cut through"
10"The man at the door"
11"A face she’d last seen"
12"He crossed the room in"
13"He stopped short, scanning her"
14"He paused too long"
15"she asked, smiling but not"
16"She’d lost eight kilos in"
17"The weight had never returned."
18"The face in her morning"
19"James gestured at the stool"
ratio0.913
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences104
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences50
technicalSentenceCount3
matches
0"Silas stood behind the counter, polishing glasses with the mechanical patience of a man who’d once dismantled triggers blindfolded."
1"The all-nighters in the library, the black coffee that stained her teeth, the sense of her mind clicking into a future she’d mapped with precision."
2"Then Evan would call, his voice cloying, needing to know where she was, who she was with."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags20
uselessAdditionCount1
matches
0"She hadn’t, a photo of her parents’ house taken from the street"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags14
fancyCount1
fancyTags
0"He laughed (laugh)"
dialogueSentences53
tagDensity0.264
leniency0.528
rawRatio0.071
effectiveRatio0.038
86.0001%