Run: 2026-05-01-01KQHSTG8VWKCB1AKKPRB6V98Q

Run Details

Duration:
2m 1s
Cost:
$0.016317
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 Raven's Nest pulled in its evening trade with the scrape of stools against boards and the low clink of bottles arranged on the counter. Aurora sat at the far end, her black hair brushing the collar of her shirt. She set down her bag from the day shift at Golden Empress, its handle still damp from the London damp. Silas leaned on the bar with his left leg cocked to ease the ache from an old injury, the silver of his signet ring catching the light as he wiped a cloth across the wood. Maps from other cities hung between photographs on the walls, faded lines marking rivers and borders. One photograph showed a street corner in Prague where men in coats walked past. Aurora watched Silas move toward the register, his steps measured. The door pushed inward, hinges announcing another arrival. A woman stood in the frame, shoulders squared under a dark coat. Her hair sat shorter now, cut in a blunt line that framed a face marked by deeper lines at the corners of the eyes. She carried a leather case at her side instead of the canvas bag from university days. Her gaze swept the interior and fixed on Aurora. They held the look for a long moment. Aurora rose from the stool. Eva crossed the floor, coat buttons gleaming. Neither reached out first. Eva set the case on the bar top and rested one hand on the polished edge. Years settled between them like dust on the old maps. Silas limped closer and placed a glass near Eva's hand. He poured a measure of whisky without asking. She nodded once. Aurora returned to her seat. Eva drew out the stool beside her and folded her coat across its back. The bar's light fell on the scar at Aurora's wrist. Eva's eyes moved there and away. She lifted her glass and held it at eye level. "I asked around at the restaurant. The owner said you come here after deliveries. Figured the flat above meant you knew the place." Aurora turned the stem of her own glass between her fingers. "Yu-Fei keeps late hours. The flat gives quick access after midnight runs through traffic." Eva sipped. The whisky left a faint shine on her lower lip. "We left things at the station platform. Your bag on the seat. My ticket back to Cardiff held in my pocket like proof I needed to board the next train. The lights changed and you were gone." Aurora leaned forward, elbows on the wood. She spoke low enough that only Eva heard the words. "Evan followed the train schedule for weeks after. Messages came through old numbers. I changed the locks on the new door myself. The scar on this wrist never came from that night, but it reminded me every time I checked the bolts." Eva set the glass down. Her fingers pressed flat against the surface. "I stayed in the flat we shared for three months. Packed what you left. Mailed the law books to your parents when the rent notice hit. They wrote once. Said Pre-Law looked better on paper than on a delivery roster." Aurora's shoulders eased back against the stool. The motion drew her shirt tighter across the shoulders. She glanced at Silas as he moved to clear a nearby table, the photograph behind him showing a row of agents from another decade. "Those books stayed in boxes. The Cardiff campus sent letters about the deferral. I never answered. London offered streets that did not end at Evan's block. The job pays a wage and keeps movement daily." Eva turned her face toward one of the maps on the wall. Lines crossed a river that divided old routes into blocks. "We met every other Thursday in the cafe near the library. You had notes for the torts exam. I had lecture tapes you borrowed and never returned on time. Plans stretched ahead of us like the exam term list. Abrupt departure cut the threads without a knot." Aurora lifted her glass and drank. The liquid warmed the line from throat to chest. "The nighttime walks along the Taff before lectures. We counted the bridges and talked about barrister robes like they were costumes for a role we could wear after summer. Your mother taught the same cohort. My father cross-examined the same barristers at the courthouse. We both expected the route to follow those lines. Instead the route curved when Evan stopped using words and started using the doorframe to trap an exit." Eva's hand moved to the case she had set down. She flipped the latch and drew out a folded paper. The edges held creases from repeated handling. She placed it on the bar between their glasses. "I kept the last message you sent before the platform. Said the flat cleared out and the locks changed. No address. No number after the new one. I drove past your parents' house on holidays because they still send the school updates. Your mother asks after the London delivery route. Your father hires new clerks each term." Aurora opened the paper. The ink showed a single line of her own hand from five years ago. She folded it again and left it on the wood. "Messages stopped after the first six months. Silas found this place through mutual contacts after I answered a notice for renters. The bar keeps a network. Barter work plus the restaurant shifts covers the rent. No exams left unfinished except those one term." Silas returned to the bar and refilled both glasses. He turned the ring on his finger once before stepping back to the register. Eva watched his limp and the way his eyes tracked the room without comment. "Law school finished for me two years back. Clerking now in a firm that handles civil cases across the border. Cases involve property disputes and inheritance fights. Nothing to carry a day bag across the platform. I visit Cardiff less. The cafe closed. Another one sits in its space with different names on the cups." Aurora traced a line on the map that matched the one on the paper beside her glass. Her finger followed the curve of a street from Soho toward the river. "You pushed for the ticket that day. Said standing by the door kept risk alive. I boarded with the one bag. The regret arrived with the first dawn in this city, the light different, the people strangers. The flat above this bar stayed empty until the move. Now it holds the routes I ran and the people who know where those routes stop." Eva pushed the folded paper toward Aurora. "The parents wrote again last spring. Mentioned a letter from the university about readmission if grades cleared probation. I did not forward it. Figured choices made in the station light stayed made." Aurora tucked the paper into her shirt pocket. She met Eva's eyes directly. "Choices carried weight then. They carry different weight now. Delivery shifts end before full dark on good nights. The bar below catches the rest. Silas runs contacts through the back room when needed. The work keeps the legs moving and the mind out of old rooms." Eva stood. She lifted the case and settled the strap across her shoulder. The coat followed in one motion. "Time passed in blocks like those maps. Cardiff marks faded to London lines. I came here for work on a case. The firm sent me to Soho for a deposition. The restaurant sign drew the memory. The scar in the wrist shows through the sleeve when the light hits certain angles." Aurora rose with her. They stood level at the bar edge. Silas remained at the register, his hazel eyes on the street beyond the neon. "Return visits carry risk when the old names still hold addresses. Yet the last mark from Cardiff was the train time on the platform board. No messages since the locks changed." Eva nodded once toward the door. The motion carried the coat edge against her arm. "Perhaps the next case brings the path through this room again. The photographs on the walls track old operations, not court dates. Different evidence." Aurora stayed at the bar as Eva turned. Silas closed the register drawer and moved toward a table near the bookshelf that hid the back room access. The green sign outside continued its hum against the window glass. Aurora picked up the glass Ev a had left and held it to the light. The liquid caught the lamp glow and held it steady.
created_at"2026-05-01T12:57:07.106Z" 5/1/2026, 12:57:07 PM
model"x-ai/grok-4.3-20260430"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency83324
moderation_latency(null)
generation_time120498
tokens_prompt1094
tokens_completion3523
native_tokens_prompt1076
native_tokens_completion6419
native_tokens_completion_images(null)
native_tokens_reasoning4765
native_tokens_cached1024
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"
usage0.0163173
router(null)
provider_responses
0
endpoint_id"45623cb8-18e5-4b32-8fc4-85d05439982d"
id"38a7bc78-0842-0c1a-7224-2b8e4ba2cca6"
is_byokfalse
latency102
model_permaslug"x-ai/grok-4.3-20260430"
provider_name"xAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777640227-KFApfFoELLwa9hEDjO1X"
session_id(null)
api_type"completions"
id"gen-1777640227-Oh5RIdwsQrfVLr3lOnfb"
upstream_id"38a7bc78-0842-0c1a-7224-2b8e4ba2cca6"
total_cost0.0163173
cache_discount0.0010752
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provider_name"xAI"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1433
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)
82.55% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1433
totalAiIsms5
found
0
word"measured"
count1
1
word"gleaming"
count1
2
word"traced"
count1
3
word"weight"
count2
highlights
0"measured"
1"gleaming"
2"traced"
3"weight"
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
narrationSentences68
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences68
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences85
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen72
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1433
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions9
unquotedAttributions0
matches(empty)
16.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions48
wordCount722
uniqueNames11
maxNameDensity2.35
worstName"Aurora"
maxWindowNameDensity4.5
worstWindowName"Eva"
discoveredNames
Raven1
Nest1
Golden1
Empress1
London1
Prague1
Silas7
Aurora17
Eva16
Soho1
Ev1
persons
0"Raven"
1"Nest"
2"Silas"
3"Aurora"
4"Eva"
places
0"Golden"
1"London"
2"Prague"
3"Soho"
globalScore0.323
windowScore0.167
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences58
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1433
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences85
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs43
mean33.33
std19.5
cv0.585
sampleLengths
095
140
269
38
432
510
621
719
826
923
1011
1114
1212
1337
1417
1542
1612
1740
1840
1935
2022
2147
2215
2371
2436
2557
2628
2743
2837
2955
3030
3163
327
3332
3413
3546
3619
3751
3825
3931
4015
4124
4263
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences68
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs114
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences85
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount722
adjectiveStacks0
stackExamples(empty)
adverbCount13
adverbRatio0.018005540166204988
lyAdverbCount2
lyAdverbRatio0.002770083102493075
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences85
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences85
mean16.86
std14.98
cv0.888
sampleLengths
025
115
220
335
416
514
610
78
812
924
1016
119
128
135
147
154
1616
1710
1810
198
203
215
2214
2310
246
2510
2623
2711
2814
292
3010
3137
327
3310
3442
355
367
3740
387
399
4024
4135
4212
4310
4447
456
469
4771
4810
4910
49.80% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats1
diversityRatio0.3058823529411765
totalSentences85
uniqueOpeners26
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences66
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount19
totalSentences66
matches
0"She set down her bag"
1"Her hair sat shorter now,"
2"She carried a leather case"
3"Her gaze swept the interior"
4"They held the look for"
5"He poured a measure of"
6"She nodded once."
7"She lifted her glass and"
8"She spoke low enough that"
9"Her fingers pressed flat against"
10"She glanced at Silas as"
11"She flipped the latch and"
12"She placed it on the"
13"She folded it again and"
14"He turned the ring on"
15"Her finger followed the curve"
16"She met Eva's eyes directly."
17"She lifted the case and"
18"They stood level at the"
ratio0.288
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount65
totalSentences66
matches
0"The Raven's Nest pulled in"
1"Aurora sat at the far"
2"She set down her bag"
3"Silas leaned on the bar"
4"Maps from other cities hung"
5"Aurora watched Silas move toward"
6"The door pushed inward, hinges"
7"A woman stood in the"
8"Her hair sat shorter now,"
9"She carried a leather case"
10"Her gaze swept the interior"
11"They held the look for"
12"Aurora rose from the stool."
13"Eva crossed the floor, coat"
14"Neither reached out first."
15"Eva set the case on"
16"Years settled between them like"
17"Silas limped closer and placed"
18"He poured a measure of"
19"She nodded once."
ratio0.985
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences66
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences36
technicalSentenceCount1
matches
0"Silas closed the register drawer and moved toward a table near the bookshelf that hid the back room access."
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
84.9675%