Run: 2026-07-09-01KX41N4946M8SN6T7PSFX2FJZ

Run Details

Duration:
17.9s
Cost:
$0.016618
Provider:
OpenAI

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 above The Raven’s Nest turned the rain into a sickly shimmer. Aurora shouldered through the door with a paper bag tucked beneath one arm and shook water from her black hair. “Yu-Fei wants the receipt signed before midnight,” she called towards the bar. Silas looked up from polishing a tumbler. His grey-streaked auburn hair caught the low amber light, and the silver signet ring on his right hand flashed as he set the cloth aside. “You’re late.” “I delivered the food.” “You’re still late.” “Then the food arrived late.” “That wasn’t the arrangement.” Aurora placed the bag on the counter. “The arrangement involved a motorbike that didn’t cough oil over my boots.” Silas glanced down. “Those boots had another life.” “They’ll have a shorter one if you keep insulting them.” The bar sat between two shuttered shops on a Soho side street, its old maps and black-and-white photographs fading into the walls. A handful of customers occupied the tables beneath the dim lamps. Someone fed coins into the jukebox, and a trumpet scraped through the opening bars of a jazz song. Aurora reached for the receipt pad. Then she saw the woman at the far end of the bar. The first thing she noticed was the coat. Ivory wool, sharply cut, the sort of coat that kept its shape even when its owner stood beneath rain. The second was the hair. Once, Eva had worn hers in a thick copper braid that came loose whenever she laughed. Now it fell in a blunt dark bob, almost black beneath the bar’s warm lights. A pale line crossed one eyebrow. Eva lifted her glass and turned. The years between them gathered in the space of a breath. Aurora’s fingers stopped over the receipt pad. Eva’s eyes widened, but only for a moment. She had always recovered quickly. At seventeen, she had walked into the headmistress’s office with a stolen bottle of gin in her schoolbag and walked out with the suspension lifted. At twenty, she had convinced Rory to leave Cardiff for London with one phone call and a train ticket. Now she set her glass down with care. “Rory.” Aurora heard the old name land between them. Silas watched from behind the counter. He knew when a room had changed temperature. His hazel eyes moved from one woman to the other, then settled on Aurora. “You know each other?” “Once,” Eva replied. Aurora picked up the receipt pad. “That’s a generous word.” Eva’s mouth tightened. “You always did like making an entrance.” “I came through the door.” “You came through a window when we were sixteen.” “That was your idea.” “You climbed.” “You left the ladder.” Silas took the paper bag and slid it beneath the counter. “Kitchen can deal with this. You two can deal with whatever this is.” “I’m leaving,” Aurora said. Eva turned on her stool. “You’ve just arrived.” “I’ve been here before.” “Not since—” “Don’t.” The word cut across the music. A man at the nearest table glanced over, then bent back over his drink. Eva looked older than twenty-five, though they were the same age. The years had tightened her face and sharpened her posture. She carried herself as if every room held a trap. Aurora remembered a girl who sprawled on the grass behind the school gym, knees muddy, laughing so hard she snorted. The girl had once kissed Rory beneath the old railway bridge, not from desire but to prove they had the nerve. They had celebrated by eating chips beside the river and stealing each other’s salt. Eva slid from her stool. “I didn’t know you worked here.” “I deliver for the Golden Empress.” “You still live in Cardiff?” Aurora stared at her. Eva lowered her gaze. “Right.” “You sent me a train ticket.” “I remember.” “You told me London would fix everything.” “I didn’t say that.” “You said, ‘Come here. Nobody knows you. You can become whoever you want.’” Eva’s fingers closed around the stem of her glass. Aurora laughed once. “You made it sound clean.” “It was clean for me.” The admission settled harder than an apology. Silas limped towards the end of the bar, a slight hitch in his left leg that he never tried to hide. He placed a fresh glass beside Eva. “You’re not serving her,” Aurora said. “I’m serving the person who asked for a drink.” “I didn’t ask.” “That has never stopped you before.” His gaze held hers. Quiet authority pressed through the words, but Aurora caught the question beneath it: Do you want me here? She remained by the bar. Eva looked at the scar on Aurora’s left wrist. “You still have it.” Aurora covered the small crescent with her palm. “It’s not a conversation piece.” “I didn’t mean—” “You never did.” Eva’s face shifted. The brittle composure split, and beneath it Aurora saw the girl from Cardiff: the quick temper, the frightened eyes, the certainty that any problem could be outwitted if they stayed awake long enough. “What happened to your hair?” Aurora asked. Eva touched the blunt ends. “It got in the way.” “Of what?” “Work.” “What work?” “Private security.” Aurora looked at the tailored coat, the faint scar near the eyebrow, the watch with no visible brand. “You hit people now?” “I stop them hitting other people.” “By hitting them first?” “If that’s what the contract requires.” The jazz song ended. The jukebox clicked, then began another track. Eva reached into her coat and placed a slim black card on the bar. “Come outside.” “I’m working.” “You’re holding a receipt pad.” “Silas pays me to close up.” Silas lifted one shoulder. “I pay her to make decisions. Closing up happens when it happens.” “You can leave,” Eva told him. “I own the building.” “Then go upstairs.” Aurora glanced towards the staircase that led to her flat. Her room waited above them: the narrow bed, the chipped blue mug, the coat she had thrown over the radiator. She had escaped Evan and Cardiff and every version of herself that had accepted pain as the price of being loved. She had not escaped the habit of turning towards Eva whenever she felt lost. “You disappeared,” Aurora said. Eva’s hand remained on the black card. “You told me to come to London, then disappeared.” “I came to King’s Cross.” “Three hours late.” “I had a reason.” “You always had a reason.” “I had to get away from someone.” “So did I.” Eva looked up. Aurora’s pulse beat in her throat. “You knew what Evan was doing.” The room seemed to contract around them. Silas stopped moving. Eva’s mouth parted. No sound came. “You knew he read my messages. You knew he waited outside lectures. You saw the bruises.” “I saw one bruise.” “You saw enough.” “I asked you to leave him.” “You asked me to come to London. You didn’t tell me you wouldn’t be there.” “I thought you’d leave whether I was there or not.” “That was the lie you used?” Eva flinched. Aurora took the black card and turned it over. No name. No number. Only a silver mark stamped into the surface: a bird with one wing. “You wanted me to save you,” Eva said. “I wanted my friend to answer the phone.” “I was twenty-one.” “So was I.” “I had a man following me. He knew where my mother lived. He sent photographs.” Aurora’s grip tightened on the card. “Why didn’t you tell me?” “Because you would have come.” “Yes.” “That was the problem.” The words came without force. They struck harder for it. Aurora looked at Eva’s face, at the pale scar cutting through her eyebrow. “What happened?” “Someone got close.” “Did he do that?” “Not him.” “You don’t get to offer half a story and call it honesty.” “I’m not calling it anything.” Silas moved to the far end of the bar and began arranging bottles that already stood in neat rows. He gave them the privacy of his silence. Eva took a swallow of whisky. Her hand shook once, then steadied. “I thought if I left you alone, you’d hate me enough to stay away.” “I did.” “I know.” “No, you don’t. You don’t know what it was like to sit in that station with two bags and no money, watching every woman with dark hair walk past. You don’t know what it was like to call you until my phone died.” Eva pressed her thumb against the rim of the glass. “I spent that night in a church,” Aurora continued. “The vicar gave me tea. The next morning I found a room above a bar.” “Silas’ bar?” “Not then. Another bar. That landlord stole half my wages.” Eva’s eyes moved across the photographs on the wall. Men in wartime uniforms. Women beside old motorcars. Faces caught before history changed them. “You built a life,” she said. “I assembled one.” “You always were good at that.” Aurora placed the card on the bar. “What do you want?” Eva did not answer at once. Outside, a bus sighed at the kerb. Rain ticked against the windows. The neon sign painted green over Eva’s pale coat and Aurora’s wet sleeves, turning them into strangers wearing the colours of the same bruise. “I wanted to see if you were alive,” Eva said. Aurora’s expression hardened. “You could have checked.” “I did.” “From a distance?” “From a distance.” “Coward.” “Yes.” The word left no room for comfort. Silas came back with a clean cloth over his shoulder. “Rory, take the rest of the night.” Aurora looked at him. “Your receipt can wait.” Eva stood and buttoned her coat. She looked ready to leave, but her hand remained on the bar beside the black card. Aurora picked it up. “Where?” she asked. Eva met her eyes. “Not here.” “That’s not an answer.” “Tomorrow. Seven. The café beneath Waterloo Bridge.” “You still hate coffee.” “I still hate bad coffee.” “You used to drink it black.” “I used to do a lot of stupid things.” Aurora slipped the card into her jacket pocket. “You’re not forgiven.” “I didn’t ask.” “Good.” Eva nodded once. She turned towards the door, then stopped beneath the green wash of the sign. “Rory.” Aurora waited. Eva looked back at her. “I should have come.” Aurora’s hand closed over the scar on her wrist. “Yes,” she said. “You should have.” Eva opened the door. Cold rain entered around her, carrying the wet roar of Soho through the bar. She stepped outside without looking back. Silas watched the door swing shut, then returned his gaze to Aurora. “You planning to meet her?” Aurora took off her soaked delivery jacket and hung it over the back of a chair. “I don’t know.” “That wasn’t what I asked.” She looked at the black card in her hand. Its silver bird caught the light. “Yes,” she said. “I’m planning to meet her.”
created_at"2026-07-09T18:18:48.764Z" 7/9/2026, 6:18:48 PM
model"openai/gpt-5.6-luna-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3109
moderation_latency(null)
generation_time17300
tokens_prompt1094
tokens_completion3118
native_tokens_prompt982
native_tokens_completion2606
native_tokens_completion_images0
native_tokens_reasoning257
native_tokens_cached0
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"
usage0.016618
router(null)
provider_responses
0
endpoint_id"eebea444-34a5-4642-a766-cb319471d33a"
id"resp_0d9ca35e816248e3016a4fe608e5f481948ad4c47076bc64c4"
is_byokfalse
latency557
model_permaslug"openai/gpt-5.6-luna-20260709"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1783621128-xk1SZPkLkL1CzaDEd0cM"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783621128-HQ7NMBMkEyUvPchjtYly"
upstream_id"resp_0d9ca35e816248e3016a4fe608e5f481948ad4c47076bc64c4"
total_cost0.016618
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags14
adverbTagCount0
adverbTags(empty)
dialogueSentences134
tagDensity0.104
leniency0.209
rawRatio0
effectiveRatio0
94.51% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1821
totalAiIsmAdverbs2
found
0
adverb"sharply"
count1
1
adverb"quickly"
count1
highlights
0"sharply"
1"quickly"
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)
83.53% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1821
totalAiIsms6
found
0
word"eyebrow"
count3
1
word"desire"
count1
2
word"pulse"
count1
3
word"silence"
count1
highlights
0"eyebrow"
1"desire"
2"pulse"
3"silence"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes widened"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences131
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount2
narrationSentences131
filterMatches(empty)
hedgeMatches
0"tried to"
1"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences251
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen44
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1821
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions30
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions91
wordCount1132
uniqueNames11
maxNameDensity3.09
worstName"Aurora"
maxWindowNameDensity5.5
worstWindowName"Eva"
discoveredNames
Raven1
Nest1
Silas10
Soho2
Eva34
Rory2
Cardiff3
London1
Aurora35
Do1
Evan1
persons
0"Raven"
1"Nest"
2"Silas"
3"Eva"
4"Rory"
5"Aurora"
6"Evan"
places
0"Soho"
1"Cardiff"
2"London"
globalScore0
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences82
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.549
wordCount1821
matches
0"not from desire but to prove they had the nerve"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences251
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs180
mean10.12
std12.26
cv1.212
sampleLengths
035
112
232
32
44
53
65
74
819
98
1010
1151
126
1312
1469
156
1611
177
1857
198
201
218
2228
234
243
2510
2610
275
289
294
302
314
3224
334
348
354
362
371
3820
3986
405
416
426
435
444
455
466
472
487
494
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences131
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs193
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences251
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1136
adjectiveStacks0
stackExamples(empty)
adverbCount29
adverbRatio0.025528169014084508
lyAdverbCount5
lyAdverbRatio0.0044014084507042256
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences251
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences251
mean7.25
std5.77
cv0.795
sampleLengths
015
120
212
37
425
52
64
73
85
94
107
1112
123
135
1410
1522
1611
1718
186
1912
208
2119
225
2316
2415
256
266
2711
287
298
305
3125
3219
338
341
358
366
378
3814
394
403
416
424
433
447
455
469
474
482
494
45.22% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats12
diversityRatio0.22310756972111553
totalSentences251
uniqueOpeners56
86.96% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences115
matches
0"Then she saw the woman"
1"Once, Eva had worn hers"
2"Only a silver mark stamped"
ratio0.026
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount21
totalSentences115
matches
0"she called towards the bar"
1"His grey-streaked auburn hair caught"
2"She had always recovered quickly."
3"He knew when a room"
4"His hazel eyes moved from"
5"She carried herself as if"
6"They had celebrated by eating"
7"He placed a fresh glass"
8"His gaze held hers."
9"She remained by the bar."
10"Her room waited above them:"
11"She had escaped Evan and"
12"She had not escaped the"
13"They struck harder for it."
14"He gave them the privacy"
15"Her hand shook once, then"
16"She looked ready to leave,"
17"She turned towards the door,"
18"She stepped outside without looking"
19"She looked at the black"
ratio0.183
7.83% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount104
totalSentences115
matches
0"The green neon sign above"
1"Aurora shouldered through the door"
2"she called towards the bar"
3"Silas looked up from polishing"
4"His grey-streaked auburn hair caught"
5"Aurora placed the bag on"
6"Silas glanced down."
7"The bar sat between two"
8"A handful of customers occupied"
9"Someone fed coins into the"
10"Aurora reached for the receipt"
11"The first thing she noticed"
12"Ivory wool, sharply cut, the"
13"The second was the hair."
14"A pale line crossed one"
15"Eva lifted her glass and"
16"The years between them gathered"
17"Aurora’s fingers stopped over the"
18"Eva’s eyes widened, but only"
19"She had always recovered quickly."
ratio0.904
86.96% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences115
matches
0"Now it fell in a"
1"Now she set her glass"
ratio0.017
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences42
technicalSentenceCount2
matches
0"Ivory wool, sharply cut, the sort of coat that kept its shape even when its owner stood beneath rain."
1"Aurora remembered a girl who sprawled on the grass behind the school gym, knees muddy, laughing so hard she snorted."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags14
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags14
fancyCount1
fancyTags
0"Aurora continued (continue)"
dialogueSentences134
tagDensity0.104
leniency0.209
rawRatio0.071
effectiveRatio0.015
90.1664%