Run: 2026-07-09-01KX418BGQGSFNBHZ5D7SHAEAQ

Run Details

Duration:
15.1s
Cost:
$0.016132
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 flickered in the rain, turning the pavement outside into a strip of bruised light. Aurora pushed through the door with a paper bag tucked under one arm and water darkening the shoulders of her jacket. The bar had settled into its late-evening hush. Two men played chess beneath a framed map of Berlin. A woman in a red coat read a paperback at the far end, her wine untouched. Behind the counter, Silas polished a glass with the concentration of a surgeon. “You were due back twenty minutes ago,” he called. “The restaurant had three orders leave at once.” “You were carrying one bag.” “The other two went with people who owned cars.” Silas glanced at the bag. “And that?” “Your dinner.” “I didn’t order dinner.” “You also didn’t order the rain, but it arrived.” She placed the bag on the counter and pulled off her helmet. Her straight black hair clung to her cheeks. Under the yellow bar lights, her eyes looked almost electric. Silas reached for the bag. His silver signet ring caught the light. “You’re bleeding.” Aurora looked down at her wrist. A thin red line crossed the small crescent-shaped scar there. “Door handle,” she said. “Door handles are gaining ground.” “It’s nothing.” “Everything is nothing until it needs stitches.” He came around the bar with his slight left-legged limp and took her wrist before she could object. His fingers were warm and dry. He examined the cut, then released her. “Wash it.” “I’ll add it to the list.” “You have a list?” “I’m considering one.” The door opened behind her. Cold air crossed the room. Aurora stepped aside, expecting another customer, and saw the woman standing beneath the green glow. For a moment, neither of them moved. Eva had once possessed a face that made strangers trust her before she spoke. Time had sharpened it. Her cheekbones stood clear beneath pale skin, and a faint vertical line cut through one eyebrow. She wore a charcoal coat buttoned to the throat, black trousers, and polished shoes that had never touched the puddled pavement outside. Her hair, once a wild brown mass she tied with ribbons, fell in a blunt blonde bob just below her jaw. Aurora’s hand tightened around the helmet. Eva’s gaze travelled over her wet jacket, her scuffed boots, the delivery bag, then returned to her face. “Rory.” The name crossed the room and landed between them. Silas stopped beside the bar. His expression did not change, though his hazel eyes moved from one woman to the other. Aurora put the helmet on the counter. “Eva.” Eva smiled. It was the smile Aurora remembered from school photographs and crowded kitchens, from the summer they stole peaches from a neighbour’s garden and ran until they vomited with laughter. The shape remained. The warmth had gone. “I heard you were here,” Eva said. “You heard?” “London is smaller than people think.” “It’s four hundred square miles.” “You always did enjoy arguing with numbers.” “Only when numbers were wrong.” Eva took off her gloves finger by finger. A narrow gold band circled her left thumb. Aurora watched the ritual, the care she gave each glove, and remembered Eva stuffing wet socks beneath a radiator in the Cardiff flat they had shared for one reckless summer. Silas pointed towards a table near the photographs of old intelligence officers. “Sit down before the two of you turn the doorway into a courtroom.” “I’m only here for a drink,” Eva said. “Then you’ve chosen a bar.” Eva moved to the table. Aurora remained by the counter. Silas lifted the paper bag. “You brought enough for two.” “I brought enough for a person who eats.” He opened the bag, inspected the containers, and carried one to the table. Aurora followed after a pause, still wearing her jacket. Eva watched her sit. “You look well.” “That’s a dangerous opening.” “I meant it.” “Then you could have said, ‘You look well.’ Without the pause.” Eva lowered her eyes to the table. “You look tired.” “There it is.” Silas placed a plate between them, then set down two glasses of water. “Food first,” he said. “Hostilities after.” “We’re not hostile,” Eva replied. Aurora reached for a container. “You drove across London to prove that?” Eva’s fingers pressed against the stem of her water glass. “I didn’t know where else to find you.” “You knew where I lived.” “I went there.” Aurora looked up. Eva held her gaze. “The flat above the bar. I saw the sign. I didn’t come in.” “How brave of you.” “I stood outside for ten minutes.” “And then?” “I left.” “Your courage failed at the door?” Eva flinched. Small. Almost invisible. Aurora saw it anyway. Silas returned behind the counter, leaving them with the food and the silence. He did not turn on the radio. The chess pieces clicked at the other table. Eva opened one of the containers. Steam rose between them, carrying ginger, soy, and chilli. “You still hate coriander,” she said. “I grew up.” “That wasn’t an answer.” “It was. My tastes changed.” Eva took a fork and prodded the noodles. “You used to say coriander tasted like soap.” “It still does.” “Then you haven’t grown up.” Aurora looked at her hands. The nails were short, unpainted. There was a faint white scar across the knuckle of her right index finger. “What happened?” Eva glanced down. “That?” “You used to pick the skin around your nails until they bled.” “People change.” “Apparently.” Eva leaned back. The leather seat gave a low creak. “I heard about Evan.” Aurora’s jaw tightened. Outside, a bus dragged a wash of water along the road. “Who told you?” “No one had to.” “People always tell themselves that.” “I saw the photographs.” “You saw photographs?” “His solicitor posted them. The hearing.” Aurora set down her fork. “You went.” Eva’s mouth tightened. “I was in the public gallery.” “You were there.” “Yes.” “You didn’t speak to me.” “You didn’t look at me.” “I looked for you.” “You looked at the judge.” “I was trying not to fall apart in front of a room full of strangers.” “I know.” “No, you don’t.” Eva’s composure cracked. The water in her glass shivered as her thumb struck the rim. “I knew enough to stay.” The bar seemed to contract around them. Aurora heard the refrigerator motor behind the counter, the scrape of a chair, the rain tapping the windows in uneven bursts. “You stayed in Cardiff,” Aurora said. “I stayed nearby.” “You changed your number.” “You changed yours.” “I changed mine because he kept calling.” “I changed mine because you kept calling.” Aurora stared at her. Eva looked away first. “I called you twice,” she said. “Twenty-three times.” “That’s not true.” “I kept the voicemail.” The colour drained from Eva’s face. Aurora opened the lid on the noodles. She had lost her appetite, but she lifted a fork and ate anyway. The chilli burned the cut on her wrist when she touched it. Eva watched her. “You could have called my mother.” “She told me to stop asking questions.” Aurora’s fork paused. “She said you needed space.” “She said that?” “She said you had enough to deal with.” “And you believed her?” “You had left without telling anyone where you were going.” “I told you.” “You told me you were getting on a train.” “I told you I was going to London.” “You didn’t tell me where you’d stay.” “I thought you’d understand.” “I was nineteen, Rory.” “So was I.” “That doesn’t make us capable of saving each other.” “No. It made us old enough to know when someone needed help.” Eva’s shoulders drew in beneath the charcoal coat. Aurora looked at the woman she had once known by every habit: the left shoulder that rose before a lie, the way she hummed when nervous, the blue thread she wrapped around her finger while revising. None of those things remained. Even her silence had changed. The old Eva had filled silence with movement. This one held it like a weapon. “You cut your hair,” Aurora said. Eva touched the blunt edge near her jaw. “Three years ago.” “Why?” “Because I wanted to.” “That’s a disappointing reason.” “I have many disappointing reasons now.” Silas placed a bottle of whisky on the table without asking. Eva looked at it, then at him. “I’m not drinking.” “Then it will sit there and judge you.” “You remember him?” Aurora asked. “I remember that he once threw a man out for insulting your shoes.” “He insulted the shoes?” “He called them tragic.” “They were tragic,” Eva said. “You bought them at a charity shop.” “You said they made me look dangerous.” “They made you look haunted.” A laugh escaped Aurora before she could stop it. It came out thin, startled. Eva smiled in response, and for one breath the old warmth returned. Then it vanished. Aurora picked up the whisky bottle and turned it so the label faced Eva. “What do you want?” Eva looked at the bottle, then at Aurora’s wrist. “I wanted to see you.” “You’ve seen me.” “I wanted to know if you hated me.” “I don’t have time to hate you.” “That’s worse.” “It’s more efficient.” Eva’s eyes shone, but she did not blink. “I thought you’d hate me.” “I did.” The words sat cleanly between them. “When?” “The first year.” Eva nodded once. “And after that?” “After that I was busy.” “Running?” “Working.” “From what?” Aurora glanced towards Silas. He had his back turned, but the polishing cloth had stopped moving. “From everything that thought it owned me.” Eva folded her gloves and placed them beside her plate. “I was afraid of him.” “So was I.” “I thought if I talked to you, he’d find me.” “He found me anyway.” “I know.” “You keep saying that.” “Because I do.” Aurora pushed the food away. “Then say something I don’t know.” Eva’s face tightened. She took a breath, held it, and let it go. “I went to the police after you left.” Aurora did not move. “I gave them the messages. The ones he sent me. The ones where he asked where you were.” “You told them I was in London.” “No.” “Then what did you tell them?” “That I didn’t know.” Aurora studied her. Eva’s voice dropped. “I lied.” A glass broke behind the bar. One of the chess players swore. Silas bent to gather the pieces, and the room filled with the small, sharp sounds of fragments meeting his palm. Aurora looked at the woman across from her—the changed hair, the careful coat, the gold ring, the scar across the knuckle—and saw, beneath all of it, the girl who had once sat on a bathroom floor with her knees drawn to her chest, whispering, Don’t tell anyone, Rory. Please don’t tell anyone. Eva reached across the table, but stopped before touching her. “I should have come after you,” she said. Aurora looked at the hand suspended between them. “Yes,” she replied. “You should have.”
created_at"2026-07-09T18:11:49.919Z" 7/9/2026, 6:11:49 PM
model"openai/gpt-5.6-luna-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1904
moderation_latency(null)
generation_time14586
tokens_prompt1094
tokens_completion3279
native_tokens_prompt982
native_tokens_completion2525
native_tokens_completion_images0
native_tokens_reasoning150
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"
usage0.016132
router(null)
provider_responses
0
endpoint_id"eebea444-34a5-4642-a766-cb319471d33a"
id"resp_0c5d1b94b86f19fb016a4fe465fc008194a0f1d997fd8dc278"
is_byokfalse
latency230
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-1783620709-XD6xMJsA1ayU2Y1CqsFs"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783620709-IwO4TO2DZqR9HiV3gAPQ"
upstream_id"resp_0c5d1b94b86f19fb016a4fe465fc008194a0f1d997fd8dc278"
total_cost0.016132
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)
dialogueSentences157
tagDensity0.089
leniency0.178
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1847
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)
75.64% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1847
totalAiIsms9
found
0
word"flickered"
count1
1
word"electric"
count1
2
word"eyebrow"
count1
3
word"warmth"
count2
4
word"silence"
count3
5
word"efficient"
count1
highlights
0"flickered"
1"electric"
2"eyebrow"
3"warmth"
4"silence"
5"efficient"
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
narrationSentences132
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences132
filterMatches(empty)
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences275
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen50
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1845
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions47
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions86
wordCount1095
uniqueNames9
maxNameDensity3.38
worstName"Eva"
maxWindowNameDensity6
worstWindowName"Eva"
discoveredNames
Raven1
Nest1
Berlin1
Silas11
Aurora32
Eva37
Cardiff1
Don1
Rory1
persons
0"Raven"
1"Nest"
2"Silas"
3"Aurora"
4"Eva"
5"Rory"
places
0"Berlin"
1"Cardiff"
globalScore0
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences74
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1845
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences275
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs214
mean8.62
std10.19
cv1.181
sampleLengths
043
147
29
38
45
59
67
72
84
99
1030
1112
122
1316
144
155
162
177
1831
192
206
214
223
235
2420
257
2677
276
2818
291
309
3121
327
331
3438
357
362
376
385
397
405
4146
4212
4313
448
455
4610
4710
488
4922
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences132
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs208
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount0
flaggedSentences1
totalSentences275
ratio0.004
matches
0"Aurora looked at the woman across from her—the changed hair, the careful coat, the gold ring, the scar across the knuckle—and saw, beneath all of it, the girl who had once sat on a bathroom floor with her knees drawn to her chest, whispering, Don’t tell anyone, Rory."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1100
adjectiveStacks1
stackExamples
0"clear beneath pale skin,"
adverbCount27
adverbRatio0.024545454545454544
lyAdverbCount1
lyAdverbRatio0.0009090909090909091
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences275
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences275
mean6.71
std5.52
cv0.823
sampleLengths
022
121
28
310
416
513
69
78
85
99
105
112
122
134
149
1512
168
1710
185
197
202
216
2210
234
245
252
267
2718
286
297
302
316
324
333
345
355
3615
377
3814
394
4016
4122
4221
436
4418
451
469
475
4816
497
44.91% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats14
diversityRatio0.21818181818181817
totalSentences275
uniqueOpeners60
58.48% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences114
matches
0"Even her silence had changed."
1"Then it vanished."
ratio0.018
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount17
totalSentences114
matches
0"She placed the bag on"
1"Her straight black hair clung"
2"His silver signet ring caught"
3"He came around the bar"
4"His fingers were warm and"
5"He examined the cut, then"
6"Her cheekbones stood clear beneath"
7"She wore a charcoal coat"
8"Her hair, once a wild"
9"His expression did not change,"
10"It was the smile Aurora"
11"He opened the bag, inspected"
12"He did not turn on"
13"She had lost her appetite,"
14"It came out thin, startled."
15"He had his back turned,"
16"She took a breath, held"
ratio0.149
8.25% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount103
totalSentences114
matches
0"The green neon sign above"
1"Aurora pushed through the door"
2"The bar had settled into"
3"A woman in a red"
4"Silas glanced at the bag."
5"She placed the bag on"
6"Her straight black hair clung"
7"Silas reached for the bag."
8"His silver signet ring caught"
9"Aurora looked down at her"
10"A thin red line crossed"
11"He came around the bar"
12"His fingers were warm and"
13"He examined the cut, then"
14"The door opened behind her."
15"Aurora stepped aside, expecting another"
16"Eva had once possessed a"
17"Time had sharpened it."
18"Her cheekbones stood clear beneath"
19"She wore a charcoal coat"
ratio0.904
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences114
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences39
technicalSentenceCount1
matches
0"Aurora looked at the woman across from her—the changed hair, the careful coat, the gold ring, the scar across the knuckle—and saw, beneath all of it, the girl w…"
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
fancyCount0
fancyTags(empty)
dialogueSentences157
tagDensity0.089
leniency0.178
rawRatio0
effectiveRatio0
86.0423%