Run: 2026-09-01-01M1EMNWHD6G3JMTBCE3FQWNKS

Run Details

Duration:
1m 37s
Cost:
$0.024784
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 buzzed against the Soho dusk as Aurora Carter shoved the door of The Raven's Nest. Rain clung to her coat. Maps lined the walls, their edges curled like old secrets, and black-and-white photographs stared down from another century. She had meant to go straight up the stairs to the flat. The deliveries had run late, Yu-Fei's orders stacked in the van until her shoulders ached. The bar's low light pulled her in anyway. Silas Blackwood stood behind the counter, a glass in one hand, a cloth in the other. Grey had claimed more of his auburn hair. The beard sat neat against his jaw. He shifted his weight and the left knee gave that familiar hitch. Aurora stopped. "Rory." The cloth stilled. He set the glass down with a click that cut through the murmur of two regulars in the corner. She crossed the floor. The scar on her left wrist caught the lamplight, a pale crescent against the skin. "Silas." He came around the bar. The limp marked each step. The silver signet ring flashed on his right hand as he reached for another glass. "Pint? Or something that burns?" "Burns." He poured two measures of whisky without asking. The liquid caught the light like old amber. He pushed one across the wood. She wrapped her fingers around it. The heat from the glass did nothing for the cold that had settled in her chest since Cardiff. "You vanished." His hazel eyes held hers. "Eva said you'd turn up. That was three years back." "I turned up. Just not here." He lifted his own glass. The ring tapped against it. "The university?" "Left it." She took a swallow. The whisky scraped her throat. "Law wasn't going to save anyone." Silas leaned his hip against the bar, easing the knee. "Your father would have had words." "Dad had words for everything. Barrister's habit." She turned the glass. "Mum wrote. Said you'd opened this place. I didn't believe it." "Prague changed the maths." He glanced at the photographs on the wall, men in overcoats who looked like they had never limped. "Knee gave out. Network didn't. This keeps the lights on." Aurora looked at the maps. Routes that no longer existed. "You used to talk about getting out. Before it got you." "I got out. After it got me." He refilled both glasses. "You look thinner. The boy?" She set the glass down harder than she meant. "Evan. He's gone." Silas waited. The regulars in the corner laughed at something that didn't reach this end of the bar. "He put me in hospital once. I left the next week. Eva found the flat." Aurora's thumb found the scar again. "Delivery work pays the rent. Yu-Fei doesn't ask questions." "You were going to argue cases. Change statutes." His voice stayed even. "Now you carry noodles." "Noodles don't hit back." He studied her face. The black hair sat at her shoulders, the same cut she had at twenty, but the blue eyes had lost the brightness he remembered from the summers in Cardiff when Brendan still hosted those long dinners. "I should have written." Silas turned the signet ring with his thumb. "After your father's funeral. After you packed for London. I told myself the work would wait. The work always waits." Aurora watched the whisky catch the light. "You knew about Evan." "Eva mentioned bruises. I had contacts. I did nothing." The admission sat between them like another glass neither wanted to lift. She drank. "I didn't want saving. Not then." "And now?" "Now I carry noodles and sleep above a bar that smells of regret and old maps." She almost smiled. It didn't reach her eyes. "You've gone grey. The limp's worse." "Age does that. Prague did the rest." He shifted again, the knee protesting. "I used to run. Now I polish glasses and listen to men who think they still matter." A gust of rain hit the windows. The neon flickered. Aurora traced a water ring on the bar. "Remember the night we sat on the harbour wall? You told me the world was bigger than Cardiff. That I should see it before it closed in." "You were seventeen. Reckless. Brilliant." Silas's gaze drifted to the photographs. "I believed that then." "I believed you." She looked at her hands, the crescent scar, the nails kept short for work. "The world closed anyway. Just different doors." He poured again, slower this time. "The bar's a front. You know that." "Eva said. Contacts. Favours. The old life in a new coat." "Some coats don't come off." He flexed the knee, a small grimace. "I thought retirement would feel like peace. It feels like waiting." Aurora lifted her glass. "I thought leaving Evan would feel like freedom. It feels like starting over with less." They drank in silence. The regulars paid and left, the door letting in a slice of wet street before it shut again. Silas picked up the cloth, then set it down. "You could still sit the exams. Distance. Night classes." "And argue whose truth? I've seen enough of that." She met his eyes. "You could still walk without the hitch if you let someone look at the knee properly." "Surgeons want what I won't give. Records. Names." He turned the ring. "Some debts stay unpaid." Aurora stood. The whisky sat warm in her stomach, the only warmth left. She looked at the stairs that led to the flat, then back at him. "I come down most nights now. After the last run." "The door stays unlocked." She paused. "We were different people then. On that harbour wall." Silas's hand rested on the bar, the signet catching the light one last time. "We still are."
created_at"2026-09-01T14:06:27.894Z" 9/1/2026, 2:06:27 PM
model"x-ai/grok-4.6-20260810"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency599
moderation_latency(null)
generation_time96698
tokens_prompt1063
tokens_completion1572
native_tokens_prompt1181
native_tokens_completion3769
native_tokens_completion_images(null)
native_tokens_reasoning2485
native_tokens_cached128
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"completed"
service_tier"default"
usage0.024784
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
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request_id"req-1788271587-0N2jggNfsb80aZVXLaxM"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788271587-AAlvOItNb5F0gIWjzHuu"
upstream_id"b38a97c2-51d9-91d7-9f3b-eb1739362338"
provider_responses
0
endpoint_id"0d0536e3-7eb1-4acb-8249-c8813365c2d8"
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is_byokfalse
latency142
model_permaslug"x-ai/grok-4.6-20260810"
provider_name"xAI"
status200
total_cost0.024784
cache_discount0.000192
upstream_inference_cost0
provider_name"xAI"
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
totalTags14
adverbTagCount1
adverbTags
0"He shifted again [again]"
dialogueSentences53
tagDensity0.264
leniency0.528
rawRatio0.071
effectiveRatio0.038
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount959
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)
63.50% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount959
totalAiIsms7
found
0
word"weight"
count1
1
word"familiar"
count1
2
word"flickered"
count1
3
word"traced"
count1
4
word"silence"
count1
5
word"stomach"
count1
6
word"warmth"
count1
highlights
0"weight"
1"familiar"
2"flickered"
3"traced"
4"silence"
5"stomach"
6"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
narrationSentences66
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences66
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
maxSentenceWordsSeen36
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords959
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions9
unquotedAttributions0
matches(empty)
78.70% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions24
wordCount561
uniqueNames10
maxNameDensity1.43
worstName"Aurora"
maxWindowNameDensity2.5
worstWindowName"Aurora"
discoveredNames
Soho1
Aurora8
Carter1
Raven1
Nest1
Yu-Fei1
Blackwood1
Cardiff2
Brendan1
Silas7
persons
0"Aurora"
1"Carter"
2"Raven"
3"Yu-Fei"
4"Blackwood"
5"Brendan"
6"Silas"
places
0"Soho"
1"Cardiff"
globalScore0.787
windowScore0.833
84.21% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences38
glossingSentenceCount1
matches
0"looked like they had never limped"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount959
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences104
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs54
mean17.76
std13.16
cv0.741
sampleLengths
077
143
22
31
422
519
61
725
85
91
1022
1124
1217
136
1410
152
1617
1716
1822
1932
2021
2116
2212
2318
2430
2516
264
2740
2832
2911
309
3112
328
332
3430
3530
3610
3735
3815
3924
4013
4111
4223
4319
4422
4518
4629
4716
4827
4910
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences66
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs102
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences104
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount564
adjectiveStacks0
stackExamples(empty)
adverbCount16
adverbRatio0.028368794326241134
lyAdverbCount1
lyAdverbRatio0.0017730496453900709
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
mean9.22
std6.08
cv0.659
sampleLengths
019
15
218
312
415
58
616
78
87
912
102
111
123
1319
144
1515
161
175
185
1915
205
211
228
238
246
256
2618
277
2810
296
305
315
322
336
345
356
3610
376
3811
3911
4022
4110
425
435
4411
4511
465
479
483
492
53.85% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.34615384615384615
totalSentences104
uniqueOpeners36
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences61
matches(empty)
ratio0
42.95% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount27
totalSentences61
matches
0"She had meant to go"
1"He shifted his weight and"
2"He set the glass down"
3"She crossed the floor."
4"He came around the bar."
5"He poured two measures of"
6"He pushed one across the"
7"She wrapped her fingers around"
8"His hazel eyes held hers"
9"He lifted his own glass."
10"She took a swallow"
11"She turned the glass"
12"He glanced at the photographs"
13"He refilled both glasses"
14"She set the glass down"
15"His voice stayed even"
16"He studied her face."
17"She almost smiled"
18"It didn't reach her eyes."
19"He shifted again, the knee"
ratio0.443
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount60
totalSentences61
matches
0"The green neon sign buzzed"
1"Rain clung to her coat."
2"Maps lined the walls, their"
3"She had meant to go"
4"The deliveries had run late,"
5"The bar's low light pulled"
6"Silas Blackwood stood behind the"
7"The beard sat neat against"
8"He shifted his weight and"
9"The cloth stilled."
10"He set the glass down"
11"She crossed the floor."
12"The scar on her left"
13"He came around the bar."
14"The limp marked each step."
15"The silver signet ring flashed"
16"He poured two measures of"
17"The liquid caught the light"
18"He pushed one across the"
19"She wrapped her fingers around"
ratio0.984
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences61
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences18
technicalSentenceCount0
matches(empty)
89.29% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags14
uselessAdditionCount1
matches
0"He shifted again, the knee protesting"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
83.7499%