Run: 2026-10-20-01M5C6JBKMX5Y39AF682Q5RZ3N

Run Details

Duration:
18.1s
Cost:
$0.000931
Provider:
InferenceNet

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 of The Raven's Nest bled through the rain-streaked window and painted the pavement in sickly stripes. Aurora Carter ducked inside, shaking water from her jacket. The place smelled of old wood and older secrets. She hadn't meant to come back here. A delivery for the Golden Empress had gone wrong—wrong address, wrong street, wrong part of Soho—and her phone was dead. The bar was the only lit doorway on the block. Silas stood behind the counter, polishing a glass with a rag that had seen better days. His auburn hair had gone more grey since she'd last seen him, but the signet ring still caught the light the same way. Rory. His hazel eyes narrowed. I'd heard you were back in the city. She slid onto a stool, water dripping from her sleeves onto the mahogany. You hear a lot of things. I hear a lot of things that aren't true. He set the glass down. You look like you've been running. Delivery gone sideways. Phone's dead. He poured a measure of something amber into a clean glass and pushed it toward her. On the house. She wrapped her fingers around it. How long has it been? Silas leaned back against the shelf behind him. Three years. Maybe four. Time gets slippery. Four, she said. Eva's wedding. You gave a speech about loyalty. That sounds like something I'd say. It was a good speech. She took a sip. She didn't believe a word of it. He laughed, a dry sound that didn't reach his eyes. Most people don't. They hear what they want to hear. A quiet settled between them. The bar was empty, and the rain drummed against the windows. You look different, he said. People keep telling me that. I don't mean just older. He tilted his head. You hold your shoulders like someone expecting a blow. Rory stared into her glass. It's been a long few years. I know a bit about long years. He gestured at his knee. The Prague job. You heard about that? Eva told me pieces. Pieces. His mouth twisted. Now there's a word. What pieces did she give you? That you retired. That you opened this place. She looked around at the maps and photographs on the walls. She didn't do it justice. Most people don't. Silas, she said, and the name felt strange in her mouth. She hadn't said it aloud in years. Why didn't you ever call? He stopped polishing the glass. Looked at her. I thought about it. More than once. He set the rag down. After Prague, I wasn't exactly in a place to be a mentor to anyone. To be a friend to anyone. That's not an answer. It's the only one I've got. The rain picked up, rattling the glass in its frame. Rory took another sip of the whiskey and let it burn down her throat. I left Evan, she said. Six months ago. Silas didn't react. Just stood there, still as stone. Eva helped me. Found me a flat, a job. She paused. A flat above your bar, actually. I know you live upstairs. He reached for a bottle on the top shelf, something dark and dusty. I've seen you come and go. I didn't think you wanted me to know. You didn't think I wanted you to know I was living here? She stared at him. You're the one who taught me to watch my six. You just let me disappear? I let you have the space to decide if you wanted to reappear. That's a coward's answer. He poured himself a drink this time. Drank it in one go. Yes, he said. It is. The admission hung between them. Rory traced the rim of her glass. I thought you'd be disappointed, she said. In what? In me. For going back to him. For staying as long as I did. Silas set his glass down hard. It cracked against the wood. Disappointed doesn't begin to cover it. She flinched. Not in you, he said. For you. There's a difference. He leaned on the bar, his face drawn. I sent you into that city thinking I'd taught you everything. How to spot a tail, how to lose one. How to read a person's intentions before they spoke. I knew what Evan was, Rory said. I'm not stupid. No. You're not. His voice dropped. But I didn't teach you how to walk away from someone who's already inside your head. I couldn't teach you that because I never learned it myself. She looked at him then. Really looked. The lines around his eyes, the grey in his beard, the way he favored his left leg even standing still. Prague, she said. What really happened? He was quiet for a long moment. I trusted someone I shouldn't have. I read the signs wrong. He met her gaze. People died. I'm sorry. So am I. He picked up the broken glass and dropped it in a bin. You didn't come here for a confessional. You came for directions home. She hadn't realized her phone was dead. Not until he mentioned it. You're a spy, she said. You always know. I'm a bartender. I know when someone's lost. Rory finished her drink and set it down. I should go, she said. The delivery— Can wait. He pulled out a map from behind the bar and unfolded it. She recognized the area—the winding streets between Soho and Covent Garden. One street was circled in red. What's that? That's the delivery you missed. He tapped the circle. The address is a dead drop. Hasn't been used in years, but your employer didn't know that. Yu-Fei sent me to a dead drop? Yu-Fei sends everyone to dead drops. He folded the map. It's how she vets her couriers. You passed. Rory stared at him. How do you know that? Because I've known Yu-Fei Cheung for twenty years. He put the map in her hand. She runs the Golden Empress for me. She glanced at the back room entrance. The bookshelf was slightly ajar. You're still working, she said. Not retired. Silas smiled. A ghost of the man she'd known. I'm a spymaster, Rory. I don't retire. I just get smarter about where I set up my office. She pushed the map back across the bar. I don't want it. What do you want? The question sat there, heavy and honest. Rory looked at him. The rain had stopped. She could hear the distant sound of traffic on Shaftesbury Avenue. I want to know why you didn't call, she said. The real reason. Silas picked up the map and slid it back into his jacket pocket. Because I watched you walk into that life and I couldn't stop it. He picked up her empty glass. And I've spent every year since trying to convince myself that it was your choice to make. It was. I know. He set the glass in the sink. That didn't make it easier. Rory stood up. The stool scraped against the floorboards. She pulled her jacket tight around her shoulders. I'm not that person anymore, she said. I know. He turned away and began restacking glasses. I'm counting on it.
created_at"2026-10-20T08:24:10.619Z" 10/20/2026, 8:24:10 AM
model"deepseek/deepseek-v4.1-flash-20261017"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency195
moderation_latency(null)
generation_time18048
tokens_prompt1063
tokens_completion1978
native_tokens_prompt993
native_tokens_completion1832
native_tokens_completion_images(null)
native_tokens_reasoning261
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"
service_tier(null)
usage0.000930928
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1792484650-bwPfeLi5liplNF8C5fZC"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1792484650-HwwvTprSEsiHcPq2fW42"
upstream_id"gv2_jGvfNHUiVLHnUeV6bWNf2"
provider_responses
0
endpoint_id"4231aea9-73af-4a2f-bd14-660b1d8b13b2"
id"gv2_jGvfNHUiVLHnUeV6bWNf2"
is_byokfalse
latency195
model_permaslug"deepseek/deepseek-v4.1-flash-20261017"
provider_name"InferenceNet"
status200
total_cost0.000930928
cache_discount0.000064512
upstream_inference_cost0
provider_name"InferenceNet"
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
totalTags0
87.59% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1209
totalAiIsmAdverbs3
found
0
adverb"really"
count2
1
adverb"slightly"
count1
highlights
0"really"
1"slightly"
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)
95.86% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1209
totalAiIsms1
found
0
word"traced"
count1
highlights
0"traced"
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
emotionTells0
narrationSentences196
matches(empty)
55.39% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount11
hedgeCount1
narrationSentences196
filterMatches
0"hear"
1"look"
2"know"
hedgeMatches
0"begin to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences196
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen23
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1206
ratio0
matches(empty)
6.58% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions19
unquotedAttributions9
matches
0"Four, she said."
1"You look different, he said."
2"Silas, she said, and the name felt strange in her mouth."
3"I left Evan, she said."
4"Yes, he said."
5"Not in you, he said."
6"I knew what Evan was, Rory said."
7"Prague, she said."
8"I should go, she said."
66.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions59
wordCount1206
uniqueNames19
maxNameDensity1.33
worstName"You"
maxWindowNameDensity3
worstWindowName"You"
discoveredNames
Raven1
Nest1
Carter1
Golden2
Empress2
Soho2
Prague3
Evan2
Rory10
Can1
Covent1
Garden1
Yu-Fei3
Cheung1
Shaftesbury1
Avenue1
Silas7
You16
Eva3
persons
0"Raven"
1"Nest"
2"Carter"
3"Empress"
4"Evan"
5"Rory"
6"Can"
7"Yu-Fei"
8"Cheung"
9"Silas"
10"You"
11"Eva"
places
0"Soho"
1"Prague"
2"Covent"
3"Garden"
4"Shaftesbury"
5"Avenue"
globalScore0.837
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences90
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1206
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences196
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs81
mean14.89
std10.28
cv0.69
sampleLengths
037
137
239
313
419
520
65
719
811
915
1011
116
1216
1320
1416
155
165
1718
1811
1919
204
2114
2224
233
2423
258
2632
274
286
2924
308
319
3217
3332
3431
3513
364
3712
385
3912
407
412
4214
4311
446
452
4647
4710
4833
4927
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences196
matches
0"was circled"
1"been used"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs269
matches(empty)
99.13% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount0
flaggedSentences3
totalSentences196
ratio0.015
matches
0"A delivery for the Golden Empress had gone wrong—wrong address, wrong street, wrong part of Soho—and her phone was dead."
1"The delivery—"
2"She recognized the area—the winding streets between Soho and Covent Garden."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1213
adjectiveStacks0
stackExamples(empty)
adverbCount33
adverbRatio0.02720527617477329
lyAdverbCount8
lyAdverbRatio0.006595218466611707
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences196
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences196
mean6.15
std3.88
cv0.631
sampleLengths
019
19
29
37
420
510
616
723
81
94
108
1113
126
139
145
156
163
172
1816
193
206
215
228
232
242
253
263
272
286
296
305
314
327
3310
343
357
365
3711
385
395
405
414
429
435
446
457
465
473
484
494
40.82% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats18
diversityRatio0.27040816326530615
totalSentences196
uniqueOpeners53
39.22% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences170
matches
0"More than once."
1"Just stood there, still as"
ratio0.012
12.94% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount88
totalSentences170
matches
0"She hadn't meant to come"
1"His auburn hair had gone"
2"His hazel eyes narrowed."
3"I'd heard you were back"
4"She slid onto a stool,"
5"You hear a lot of"
6"I hear a lot of"
7"He set the glass down."
8"You look like you've been"
9"He poured a measure of"
10"She wrapped her fingers around"
11"You gave a speech about"
12"It was a good speech."
13"She took a sip."
14"She didn't believe a word"
15"He laughed, a dry sound"
16"They hear what they want"
17"You look different, he said."
18"I don't mean just older."
19"He tilted his head."
ratio0.518
62.94% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount135
totalSentences170
matches
0"The green neon of The"
1"Aurora Carter ducked inside, shaking"
2"The place smelled of old"
3"She hadn't meant to come"
4"A delivery for the Golden"
5"The bar was the only"
6"Silas stood behind the counter,"
7"His auburn hair had gone"
8"His hazel eyes narrowed."
9"I'd heard you were back"
10"She slid onto a stool,"
11"You hear a lot of"
12"I hear a lot of"
13"He set the glass down."
14"You look like you've been"
15"Delivery gone sideways."
16"He poured a measure of"
17"She wrapped her fingers around"
18"Silas leaned back against the"
19"Time gets slippery."
ratio0.794
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount4
totalSentences170
matches
0"Now there's a word."
1"To be a friend to"
2"Because I've known Yu-Fei Cheung"
3"Because I watched you walk"
ratio0.024
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences32
technicalSentenceCount1
matches
0"Silas stood behind the counter, polishing a glass with a rag that had seen better days."
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
85.5712%