Run: 2026-03-12-01KKHZK4QY9R0889CWFH3BKSXG

Run Details

Duration:
56.3s
Cost:
$0.064029
Provider:
xAI

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 sign bled its glow through the grimy window of The Raven's Nest as Aurora Carter pushed inside and stamped rain from her boots. Maps clung to the walls like veins on an old hand, their lines tracing forgotten routes across yellowed paper. Black-and-white photographs stared down, capturing strangers mid-laugh or mid-secret. Aurora slid onto a stool at the counter. Her shoulder-length black hair clung damp to her neck. Silas Blackwood straightened from his spot near the taps. His hazel eyes narrowed in recognition. The silver signet ring on his right hand clicked against a glass as he poured without asking. Delivery routes leave their mark. They do. Her bright blue eyes flicked to the scar on her left wrist before she tucked it under her sleeve. The door banged open again. Cold air sliced through the stale warmth. Heels struck the floorboards in sharp rhythm. Rory? That voice cracked the quiet like ice underfoot. Aurora turned slow. The woman stood framed in the doorway, blonde hair pulled into a severe knot, tailored coat buttoned high against the night. Nothing of the wild curls or scuffed boots remained. Eva. Aurora rose. The stool scraped back. Six years vanish in a breath. Eva crossed the room and claimed the stool beside her. She unbuttoned the coat with precise fingers. Silas set a second glass down. His slight limp showed as he shifted weight to his good leg and retreated a step. Old friends need fuel. Eva lifted the drink. Her manicured nails tapped the side. To the ones who disappear then reappear without warning. Aurora clinked her own glass against it. The liquid burned clean on the way down. You look like you stepped out of a boardroom and into the wrong neighborhood. Eva's mouth tightened at the edges. Boardrooms pay better than whatever this is. She gestured at the maps and photographs. I made partner last spring. Married the year before. House in the suburbs with actual curtains. Aurora traced a drop of condensation on the counter. Curtains sound like a cage. They keep the cold out. Eva's gaze dropped to Aurora's wrist. That scar still rides there like a brand. The fence at the old school, right? You hauled me over first then slipped. You dared me. Always did. Eva swirled the liquid in her glass. Daring you got you away from Evan that night. I packed the car while he screamed from the porch. Drove you halfway to London before I turned back. Then radio silence. Aurora kept her shoulders level. Silence felt safer. New city. New skin. I ride a bike for Yu-Fei now. Drop off noodles to people who never tip. Live in the flat upstairs where the pipes rattle like old bones. Eva studied the green neon bleeding across the ceiling. The Rory who argued mock trials until dawn delivers food now. The girl who could quote case law backward switched to dodging taxis. The girl grew teeth. Aurora's tone stayed even. Silas showed me how the world really watches. Silas wiped a glass at the far end of the bar. His grey-streaked beard hid whatever crossed his face. Eva leaned closer. The scent of expensive perfume cut through the beer and woodsmoke. This mentor of yours. He moves like someone who once ran from things too. That limp tells stories. Stories he keeps locked in the back room. Aurora nodded toward the bookshelf that hid the secret entrance. We trade pieces of our pasts over late glasses. Eva's fingers tightened around her drink. I traded my past for quarterly reports and a husband who asks why I stare at the wall some nights. Remember the roof in Cardiff? Stars thick enough to taste. You swore we'd chase them to Rome one summer. We bought the guidebook instead of tickets. Eva's laugh came out flat. The guidebook sits on my shelf now. Dust on every page. My husband found it last month and asked who the girl in the photos was. The one with purple streaks in her hair. Aurora rolled her glass between her palms. That girl traded her colors for this. She touched her black hair. Practical. Blends with the night rides. Practical killed the fire. Eva's voice dropped. I see it in your eyes. Still quick. Still measuring every exit. But the spark that once lit up entire nights sits banked now. Fire draws attention. Evan taught me that much. Mention of the name pulled Eva's shoulders tight. I should have seen what he was becoming. The way he watched you at parties. The way he isolated you from everyone. You saw enough to shove me into a car at midnight. Aurora met her gaze direct. That counted. Yet I lost my best friend the moment the train left the station. Eva set her glass down with a sharp click. Letters returned. Calls went to voicemail. I thought maybe you blamed me for ever introducing you. Blame sits heavy and changes nothing. Aurora glanced at the photographs on the wall. Those faces don't blame the camera. They just exist in the frame they got. Eva followed her look. We exist in frames now too. Mine has a desk and a title. Yours has a bicycle and a room above a spy's bar. Silas limped past with a fresh bottle. He poured another round without asking then moved away again. Eva watched him go. He carries his own weight. That knee. The way he scans the room. Reminds me of the stories you used to tell about your dad's courtroom battles. Different kind of battlefield. Aurora sipped. He reads people like maps. Taught me the same. Maps lie sometimes. Eva traced a finger along a faded route on the nearest wall. We thought our path ran straight. Law degrees. Shared office. Late nights dismantling the system. The system dismantled us instead. Eva's posture softened by degrees. I wake up some mornings and the woman in the mirror wears my face but speaks with someone else's voice. She schedules lunches and answers emails while the old me screams from the basement. The old you walked in here tonight. Aurora kept her face calm. Wearing someone else's coat. Eva pulled the coat tighter. This coat cost more than three months of your delivery wages. Yet it feels borrowed. The whole life does. When I saw the neon sign I almost kept walking. Then I spotted your bike chained outside and something cracked open. Cracks let light in. Aurora's scar caught the light as she reached for her glass again. Or let old ghosts out. Eva's eyes held steady on the scar. I regret the silence more than the bad introductions. More than letting you vanish into this city. Regret weighs the same whether voiced or not. Aurora's words came measured. I built something here. Rough edges and all. Eva finished her drink. The glass met the counter with finality. Rough edges can still fit together. Six years is long enough to test that. Aurora stared into the amber liquid that remained in her own glass. The bar's low hum wrapped around them both, maps and photographs bearing silent witness while the conversation stretched onward unfinished.
created_at"2026-03-12T21:35:10.082Z" 3/12/2026, 9:35:10 PM
model"x-ai/grok-4.20-beta-20260309"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency47620
moderation_latency(null)
generation_time56128
tokens_prompt1094
tokens_completion1824
native_tokens_prompt1076
native_tokens_completion10620
native_tokens_completion_images0
native_tokens_reasoning9172
native_tokens_cached1024
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"completed"
usage0.0640288
router(null)
provider_responses
0
endpoint_id"33f49f24-a0de-4dcf-872d-ca514e83fbae"
id"06ce66ec-eafc-c82c-2856-9eafd4cfadac"
is_byokfalse
latency415
model_permaslug"x-ai/grok-4.20-beta-20260309"
provider_name"xAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1773351310-csfbgkTEnBPtaCygpo3w"
upstream_id"06ce66ec-eafc-c82c-2856-9eafd4cfadac"
total_cost0.0640288
cache_discount0.0018432
upstream_inference_cost0
provider_name"xAI"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
95.84% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1202
totalAiIsmAdverbs1
found
0
adverb"really"
count1
highlights
0"really"
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)
54.24% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1202
totalAiIsms11
found
0
word"tracing"
count1
1
word"flicked"
count1
2
word"warmth"
count1
3
word"weight"
count2
4
word"traced"
count2
5
word"silence"
count3
6
word"measured"
count1
highlights
0"tracing"
1"flicked"
2"warmth"
3"weight"
4"traced"
5"silence"
6"measured"
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
narrationSentences167
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount0
narrationSentences167
filterMatches
0"look"
1"see"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences167
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen26
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1202
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
66.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions60
wordCount1202
uniqueNames14
maxNameDensity1.66
worstName"Eva"
maxWindowNameDensity3
worstWindowName"Eva"
discoveredNames
Raven1
Nest1
Aurora18
Carter1
Blackwood1
Evan2
London1
Yu-Fei1
Rory2
Cardiff1
Rome1
Eva20
Silas5
You5
persons
0"Raven"
1"Aurora"
2"Carter"
3"Blackwood"
4"Evan"
5"Rory"
6"Eva"
7"Silas"
8"You"
places
0"London"
1"Cardiff"
2"Rome"
globalScore0.668
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences99
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1202
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences167
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs67
mean17.94
std11.66
cv0.65
sampleLengths
054
117
232
35
421
519
69
733
81
96
1023
1122
124
1310
149
1515
1614
176
1830
199
205
2133
225
237
2431
255
2634
279
2823
2916
3019
3114
3218
3327
346
3539
367
375
3834
397
4018
4131
428
438
4422
4518
4638
4728
484
4924
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences167
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs218
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences167
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1209
adjectiveStacks0
stackExamples(empty)
adverbCount41
adverbRatio0.03391232423490488
lyAdverbCount2
lyAdverbRatio0.0016542597187758478
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences167
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences167
mean7.2
std4.25
cv0.59
sampleLengths
026
119
29
38
49
59
66
717
85
92
1019
115
127
137
141
158
163
1721
189
191
202
214
226
2310
247
256
2616
274
284
296
309
317
328
3314
346
357
367
375
384
397
409
415
425
436
448
457
467
473
482
497
63.67% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.40718562874251496
totalSentences167
uniqueOpeners68
87.72% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount4
totalSentences152
matches
0"Then radio silence."
1"Still measuring every exit."
2"Then I spotted your bike"
3"More than letting you vanish"
ratio0.026
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount36
totalSentences152
matches
0"Her shoulder-length black hair clung"
1"His hazel eyes narrowed in"
2"Her bright blue eyes flicked"
3"She unbuttoned the coat with"
4"His slight limp showed as"
5"Her manicured nails tapped the"
6"You look like you stepped"
7"She gestured at the maps"
8"I made partner last spring."
9"They keep the cold out."
10"You hauled me over first"
11"You dared me."
12"I packed the car while"
13"I ride a bike for"
14"His grey-streaked beard hid whatever"
15"He moves like someone who"
16"We trade pieces of our"
17"I traded my past for"
18"You swore we'd chase them"
19"We bought the guidebook instead"
ratio0.237
61.97% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount121
totalSentences152
matches
0"The green neon sign bled"
1"Maps clung to the walls"
2"Aurora slid onto a stool"
3"Her shoulder-length black hair clung"
4"Silas Blackwood straightened from his"
5"His hazel eyes narrowed in"
6"The silver signet ring on"
7"Delivery routes leave their mark."
8"Her bright blue eyes flicked"
9"The door banged open again."
10"Heels struck the floorboards in"
11"That voice cracked the quiet"
12"Aurora turned slow."
13"The woman stood framed in"
14"Nothing of the wild curls"
15"The stool scraped back."
16"Eva crossed the room and"
17"She unbuttoned the coat with"
18"Silas set a second glass"
19"His slight limp showed as"
ratio0.796
32.89% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences152
matches
0"To the ones who disappear"
ratio0.007
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences36
technicalSentenceCount1
matches
0"The Rory who argued mock trials until dawn delivers food now."
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
92.1003%