Run: 2026-07-09-01KX415292NXCKZ6VT6DW1PYG5

Run Details

Duration:
38.3s
Cost:
$0.016810
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
Rain glazed the pavement outside The Raven’s Nest, turning the green neon sign into a broken reflection that trembled beneath passing taxis. Aurora Carter pushed through the door with a paper bag tucked beneath one arm. The smell of ginger, fried batter, and rain followed her into the bar. She had spent the last forty minutes crossing Soho on Yu-Fei’s bicycle, and the damp had flattened the ends of her straight black hair against her jaw. A strand clung to her cheek. She ignored it. Silas looked up from behind the counter. “You’re late.” “Your customer ordered twelve minutes before the kitchen finished packing it.” “Then the customer is late.” “The customer lives in Mayfair.” Silas glanced at the clock. “That explains the moral failure.” Aurora set the bag on the pass. “Three spring rolls, two portions of salt-and-pepper squid, one duck noodle box. Mrs Cheung wants the receipt signed before closing.” “Mrs Cheung wants a great many things.” “She also wants you to stop stealing her chopsticks.” “I collect them.” “You collect things that don’t belong to you.” Silas’s hazel eyes flicked to her left wrist. The crescent scar there showed beneath her rolled sleeve, pale against her skin. He had known that scar since she was nine, when she had fallen through the greenhouse roof behind her parents’ house and refused to cry until the ambulance arrived. He turned away to place a glass beneath the tap. “You’ve been in London six months,” he said. “Still delivering food?” “Still serving drinks?” “I own the building.” “You rent the building from a man who thinks a cellar counts as a second bedroom.” Silas’s mouth shifted. “That man has made a fortune from optimism.” She took off her wet coat and hung it over the back of a chair. The bar held only four customers: a couple hunched over a chessboard, a woman with a book open beside her untouched wine, and a man at the far end whose face remained hidden behind the collar of his coat. Old maps covered the walls. Black-and-white photographs stared down from between the bottles. In one, Silas stood beside a ruined stone bridge in Prague, younger by twenty years and grinning at someone beyond the frame. Aurora caught sight of it and paused. “You still have that?” “I still have the wall.” “You know what I mean.” Silas wiped a ring of water from the counter. “I don’t throw out photographs because they contain unpleasant people.” “You threw out my photograph.” His hand stopped. The bar seemed to tighten around them. Even the chess players fell silent. Aurora had not meant to say it. She had carried the sentence across three countries, through two flats, a solicitor’s office, and a year of sleeping with a chair wedged beneath her bedroom handle. It had waited in her throat for three years. Silas set down the cloth. “You found that?” “Eva found it in a bin behind the bar.” “Eva always did enjoy archaeology.” “She said it was torn in half.” “It was a bad photograph.” “It was the only one we had.” He looked at her then. The lines around his eyes had deepened. Grey had spread through his auburn hair, and the neat beard he wore now made his face seem narrower, more severe. He had lost weight. Or perhaps she had only remembered him as larger: a man who had filled doorways and rooms, whose voice had carried over music and traffic, who had once lifted her onto the bar counter and declared her too young to drink but old enough to learn how to spot a liar. “Which photograph?” he asked. “The one from Cardiff. The three of us outside the student union.” “Eva looked drunk.” “She was drunk.” “You looked furious.” “I was furious.” “Because you had failed your torts exam.” “Because you had told my father I was wasting my time.” Silas’s fingers brushed the silver signet ring on his right hand. The gesture had not changed. She remembered watching that ring turn beneath the thumb whenever he considered a lie. “I told your father you were wasting yourself,” he said. “That distinction must have comforted him.” “It should have comforted you.” “I was twenty-one. I didn’t want comfort. I wanted someone to tell me I could leave.” Silas’s expression hardened. “Leave what?” Aurora laughed once, without humour. “You knew.” “I knew Evan was possessive.” “You knew he went through my phone.” “You told me he was jealous.” “I told you he locked the door from the outside.” The woman with the book lifted her eyes. Silas waited until she looked away. “You never told me that,” he said. “I told you enough.” “No. You told me he was difficult. You told me you were tired. You told me you had argued.” “I told you I had stopped sleeping.” “You told me you wanted to finish your degree.” “I was twenty-two, Silas. I had spent two years learning how to make a man’s temper disappear. I didn’t have a speech prepared.” The bar’s old refrigerator hummed beneath the counter. Somewhere below them, a pipe knocked twice. Silas moved towards the shelves with his slight left-legged limp, each step measured and quiet. He reached for a bottle of whisky. “You came here to deliver noodles,” he said. “I came here because this is where the delivery app sent me.” “You could have left.” “I’m considering it.” “You always considered leaving.” Aurora took the bottle from his hand before he could open it. “You always considered keeping me.” He stared at her. The words stood between them, sharper than either had expected. She put the bottle on the counter. “I’m not here to fight.” “You arrived carrying three years of ammunition.” “I arrived carrying duck.” “Same thing in London.” A laugh escaped her despite herself. It broke at the edges. Silas noticed. He noticed everything. That had once made her feel safe. A bell chimed above the door. The man at the far end rose, dropped coins beside his glass, and left without looking towards them. Cold air swept through the room. Silas watched the door close. “You still have people coming through the back?” Aurora asked. “Sometimes.” “People who don’t want to be seen?” “Everyone who comes through that door doesn’t want to be seen by someone.” She looked towards the bookshelf behind the bar. Its shelves held cracked atlases, old telephone directories, and a row of novels with their spines faded blank. She had known about the hidden room since she was sixteen. Silas had shown it to her after she caught him letting a woman in through the bookcase at two in the morning. “You never told me what happened in Prague,” she said. He poured two fingers of whisky into a tumbler. “Neither did you.” “I wasn’t in Prague.” “You were somewhere.” She took the glass he offered. Their fingers touched. His skin felt dry and warm. Once, after she had run away from home for a night, he had found her sleeping beneath the railway bridge. He had put his coat around her shoulders and driven her home without asking questions. In the morning, her mother had cried. Her father had shouted. Silas had stood at the kitchen door and watched the whole thing. She had thought he would intervene. He had not. Aurora drank. The whisky burned down her throat. “I went to London because Eva asked me to,” she said. “I know.” “You knew?” “She called me.” “Of course she did.” “She was worried.” “She was terrified I’d go back to him.” “Were you?” Aurora placed the glass down. “I went back twice.” Silas’s jaw tightened. “The first time, I collected clothes. The second time, I collected my passport. He had hidden it in the freezer.” “Why didn’t you call me?” “I did.” His face changed. “Once,” she continued. “At three in the morning. You answered. I heard music.” “The bar was open.” “You asked where I was.” “You said you didn’t know.” “I said I couldn’t tell you.” “You hung up.” “You said, ‘Call when you’re ready to speak plainly.’” Silas looked towards the photographs on the wall. “You weren’t ready.” “No. I was frightened.” “I didn’t know.” “You didn’t ask.” He flinched as if she had thrown something. Aurora stared into the amber whisky. “That was the part I kept remembering. Not the things Evan did. You. Standing there with that voice, asking for facts as if I were a witness in one of my father’s cases.” “I thought precision would help.” “You thought it would make the mess manageable.” “It would have made it possible to act.” “I didn’t need an operation. I needed you to come and sit on the floor.” His hand closed around the edge of the counter. The silver ring struck the wood. “I was in Prague,” he said. “During my phone call?” “Before it. I had returned two days earlier.” “What does that mean?” “It means I had spent six months watching people disappear.” “People?” “An asset. A handler. Two civilians who should never have been involved.” He rubbed his knee, not quite hiding the movement. “The operation failed. I came back with a damaged leg and a list of names I couldn’t save.” Aurora waited. Silas looked older than he had a minute ago. “I stopped trusting my judgement,” he said. “When you called, I heard a situation I couldn’t control. I wanted details because details were the only things that had ever kept me alive.” “And when I couldn’t give them?” “I decided you weren’t asking for help.” The chess player moved a piece with a soft click. Aurora looked at Silas’s limp. She had known about the injury, but not the way the pain had hollowed him out. She had spent years imagining his silence as indifference. He had spent those years mistaking her fear for refusal. Neither explanation made the years disappear. “You could have told me,” she said. “I could have done many things.” “That’s not an answer.” “No.” He lifted his gaze. “It isn’t.” She pushed the whisky away. “I used to think you were the person who saw everything.” “I saw enough to be dangerous.” “You saw Evan’s hand around my arm at Christmas.” “I saw him holding you.” “You saw the bruise.” “I thought you had fallen.” “You saw me flinch when he came into the room.” Silas shut his eyes. Aurora’s voice softened, but it did not lose its edge. “You saw me become someone who apologised before anyone accused her.” He opened his eyes again. “I should have stopped him.” “You should have asked me.” “I should have done both.” The woman with the book closed it. She left cash beneath the wineglass and slipped through the door, her umbrella opening on the pavement beyond. Silas limped around the counter and pulled a chair from beneath a table. “Sit down.” “I’m working.” “You’ve delivered the food.” “I still have a shift.” “You have rainwater dripping from your sleeve.” “I’ve had worse.” “I know.” She almost smiled. Instead, she sat. Silas remained standing. The distance between them seemed deliberate now, a boundary neither could cross without admitting what they wanted from the other. Aurora studied him. The man she remembered had been loud when he laughed, restless when he stood still, impossible to impress. This Silas carried every movement as if it had a cost. His old authority remained, but it had lost its shine. It sat closer to regret. “You look different,” she said. “So do you.” “I cut my hair.” “You stopped looking over your shoulder.” Her fingers curled around the scar on her wrist. “Not always.” “No.” “You noticed.” “I notice you.” The words landed without decoration. She looked at him. “That’s the problem.” His gaze held hers. “Is it?” Aurora heard the bicycle chain clatter outside as someone rolled a bike against the railings. The delivery app on her phone buzzed with another order. She did not reach for it. Silas glanced at the screen. “You have somewhere to be.” “I know.” “And yet?” Aurora looked towards the old photograph on the wall, the one that showed a younger Silas beside the ruined bridge. His smile in it belonged to a man who believed survival meant carrying everyone out. She turned back to him. “Tell me what happened in Prague,” she said. Silas drew a breath and rested his hand on the back of the chair opposite her. “The short version?” “For once, don’t make it short.”
created_at"2026-07-09T18:10:02.157Z" 7/9/2026, 6:10:02 PM
model"openai/gpt-5.6-luna-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency510
moderation_latency(null)
generation_time38141
tokens_prompt1094
tokens_completion3584
native_tokens_prompt982
native_tokens_completion2638
native_tokens_completion_images0
native_tokens_reasoning0
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"
usage0.01681
router(null)
provider_responses
0
endpoint_id"eebea444-34a5-4642-a766-cb319471d33a"
id"resp_0f3a763cebbdc881016a4fe3fa457881969f94e237f2dd58d5"
is_byokfalse
latency238
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-1783620602-Iu4ulOOCGijwpQeeH8gL"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783620602-N8glg2BunNh9nczj2fD1"
upstream_id"resp_0f3a763cebbdc881016a4fe3fa457881969f94e237f2dd58d5"
total_cost0.01681
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
totalTags17
adverbTagCount0
adverbTags(empty)
dialogueSentences149
tagDensity0.114
leniency0.228
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount2094
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)
88.06% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount2094
totalAiIsms5
found
0
word"trembled"
count1
1
word"flicked"
count1
2
word"weight"
count1
3
word"measured"
count1
4
word"silence"
count1
highlights
0"trembled"
1"flicked"
2"weight"
3"measured"
4"silence"
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
narrationSentences134
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences134
filterMatches
0"feel"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences267
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen51
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords2094
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions39
unquotedAttributions0
matches(empty)
37.93% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions48
wordCount1160
uniqueNames8
maxNameDensity2.24
worstName"Silas"
maxWindowNameDensity3.5
worstWindowName"Silas"
discoveredNames
Raven1
Nest1
Carter1
Soho1
Yu-Fei1
Silas26
Prague1
Aurora16
persons
0"Nest"
1"Carter"
2"Yu-Fei"
3"Silas"
4"Aurora"
places
0"Raven"
1"Soho"
2"Prague"
globalScore0.379
windowScore0.5
88.27% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences81
glossingSentenceCount2
matches
0"not quite hiding the movement"
1"seemed deliberate now, a boundary neither could cross without admitting what they wanted from the other"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount2094
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount2
totalSentences267
matches
0"known that scar"
1"watching that ring"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs199
mean10.52
std13.57
cv1.29
sampleLengths
022
163
27
32
411
55
65
710
827
97
109
113
128
1350
1410
1511
163
174
1816
1911
2089
217
224
235
245
2519
265
273
2813
2943
305
313
329
335
347
355
367
3788
384
3912
403
413
423
433
447
4511
4630
4710
486
495
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences134
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs210
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences267
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount855
adjectiveStacks0
stackExamples(empty)
adverbCount18
adverbRatio0.021052631578947368
lyAdverbCount1
lyAdverbRatio0.0011695906432748538
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences267
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences267
mean7.84
std6.4
cv0.815
sampleLengths
022
114
213
327
46
53
67
72
811
95
105
115
125
137
1420
157
169
173
188
198
2013
2129
2210
238
243
253
264
2716
283
298
3015
3139
325
338
3422
357
364
375
385
399
4010
415
423
437
446
457
4627
479
485
493
45.13% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats13
diversityRatio0.21348314606741572
totalSentences267
uniqueOpeners57
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount4
totalSentences117
matches
0"Even the chess players fell"
1"Somewhere below them, a pipe"
2"Once, after she had run"
3"Instead, she sat."
ratio0.034
59.32% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount47
totalSentences117
matches
0"She had spent the last"
1"She ignored it."
2"He had known that scar"
3"He turned away to place"
4"She took off her wet"
5"His hand stopped."
6"She had carried the sentence"
7"It had waited in her"
8"He looked at her then."
9"He had lost weight."
10"She remembered watching that ring"
11"He reached for a bottle"
12"He stared at her."
13"She put the bottle on"
14"It broke at the edges."
15"He noticed everything."
16"She looked towards the bookshelf"
17"Its shelves held cracked atlases,"
18"She had known about the"
19"He poured two fingers of"
ratio0.402
7.01% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount106
totalSentences117
matches
0"Rain glazed the pavement outside"
1"Aurora Carter pushed through the"
2"The smell of ginger, fried"
3"She had spent the last"
4"A strand clung to her"
5"She ignored it."
6"Silas looked up from behind"
7"Silas glanced at the clock."
8"Aurora set the bag on"
9"Silas’s hazel eyes flicked to"
10"The crescent scar there showed"
11"He had known that scar"
12"He turned away to place"
13"Silas’s mouth shifted."
14"She took off her wet"
15"The bar held only four"
16"Aurora caught sight of it"
17"Silas wiped a ring of"
18"His hand stopped."
19"The bar seemed to tighten"
ratio0.906
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences117
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences40
technicalSentenceCount2
matches
0"Rain glazed the pavement outside The Raven’s Nest, turning the green neon sign into a broken reflection that trembled beneath passing taxis."
1"Or perhaps she had only remembered him as larger: a man who had filled doorways and rooms, whose voice had carried over music and traffic, who had once lifted h…"
95.59% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags17
uselessAdditionCount1
matches
0"He rubbed, not quite hiding the movement"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags14
fancyCount1
fancyTags
0"she continued (continue)"
dialogueSentences149
tagDensity0.094
leniency0.188
rawRatio0.071
effectiveRatio0.013
87.3769%