Run: 2026-03-09-01KK9PXC9BJ7181JA0MN9RN56A

Run Details

Duration:
2m 50s
Cost:
$0.097990
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 needled the green neon above The Raven’s Nest and turned the pavement outside into a strip of broken glass. Inside, the bar kept its own weather. Warm bulbs glowed under old maps, black-and-white photographs leaned from the walls at odd angles, and the room smelt of beer, citrus peel and damp wool steaming itself dry. Aurora sat at the far end of the counter in her Golden Empress jacket, helmet on the stool beside her, fingers curved round a glass of whisky she had not touched. Her hair clung in dark straight lines to her jaw. On nights when the rain came in sideways, delivery work left a film on her skin that even hot water struggled to shift, as if London had licked her and left its salt behind. Silas moved along the bar with his slight limp, a towel over one shoulder, his silver signet ring flashing when he stacked clean glasses. “You look like you lost an argument with a bus.” “It clipped my mirror and won on points.” He set a bowl of salted crisps near her hand. “Eat.” Aurora tipped one into her mouth. “Bossy for a retired man.” “Still standing, aren’t you.” The door opened. A gust of cold air slid under the lamps. A woman stepped in, pausing under the green spill from the sign as if she had walked through the wrong doorway and needed a second to decide whether to admit it. Dark wool coat. Hair cut blunt at the jaw. A leather case tucked under one arm. No umbrella. Silas looked up. “What can I get you?” The woman unbuttoned her coat. The voice came first. “Soda water. Lime, if you’ve got it.” Aurora’s hand tightened round the glass. The whisky shifted and tapped against the ice. The woman turned at the sound. For a moment the room held both of them in the same old frame and refused to believe the years in between. “Rory?” Aurora let out a breath through her nose. “Christ.” Eva Morgan stood in the low bar light with rain on her lashes. Back in Cardiff she had worn men’s leather jackets, giant earrings, copper hair down to the middle of her back, and enough silver rings to sound like a cutlery drawer whenever she reached for a lighter. This woman had none of that. Her hair had gone back to its natural dark blonde. Her fingers were bare. Her face had sharpened. Even the way she stood had changed. Eva used to enter a room as if she had already forgiven it for being dull. Now she kept her elbows close, held her bag against her ribs, and looked as if she had learnt the price of taking up space. Silas set a highball in front of her and dropped in lime. “You know each other.” Eva’s eyes stayed on Aurora. “We used to.” Aurora looked at the soda water, then back at Eva. “You used to drink anything that could strip paint.” Eva gave a short smile, one corner only. “I used to do a lot of stupid things.” Silas glanced between them, read the air, and moved off to serve a couple pressed into a booth beneath an old map of Prague. Eva crossed to the bar. Not too close. She took the stool beside Aurora’s helmet and rested her case on her lap. “You look—” Aurora lifted a hand. “Careful.” Eva’s mouth twitched. “You still did that.” “What.” “Cut people off before they made a mess of a sentence.” Aurora picked up her glass and drank. The whisky burned clean. It helped. “What are you doing here?” “In this bar, or in Soho, or in London, or in the wider spiritual sense.” “Start small.” “I had a mediation round the corner. One of the solicitors wanted to drag everyone to some place with music you could feel in your teeth. I slipped out.” Aurora looked at the leather case, the coat, the fine gold watch half-hidden under the cuff. “Mediation.” Eva rolled the cold glass between her palms. “I do family law.” “Of course you do.” “That sounded like an insult.” “It sounded like I remembered you once got barred from the Student Union for climbing onto a table and shouting down the president.” “He deserved it.” “I’m sure the divorcing couples of London sleep better knowing you defend justice with precedent and sensible shoes.” Eva glanced at her boots. “These cost more than my first month’s rent.” “There she is.” The smile appeared properly this time, then thinned. “I nearly didn’t recognise you.” Aurora turned the glass so the wet ring on the bar lined up with the grain in the wood. “I’m not wearing enough eyeliner?” “You used to laugh before anyone finished the joke.” “That sounds exhausting.” “It was.” A man at the other end of the bar barked a laugh at something nobody here had said. Silas set down two pints and came back, wiping his hands. “Another whisky?” Aurora slid her empty glass forward. Eva tapped the rim of her soda. “This is fine.” Silas poured the whisky. His hazel eyes flicked to Aurora’s face, then Eva’s, and moved on. He knew when a room needed less of him. Eva watched him go. “He owns this place?” “He does.” “You work here?” “I live upstairs.” “That sounded less surprising in your head, I assume.” Aurora shrugged. “I do deliveries for Golden Empress most days. Si lets me steal his stairs and his central heating.” Eva looked over the room again, the maps, the photographs, the shelves of bottles lit from behind, the dark mouth of the corridor near the bookshelf. “It suits you.” Aurora barked a laugh. “A damp flat over a Soho bar suits me.” “The room. The people. No one looks as if they’re performing.” “They save that for the pavement.” Eva lifted the soda and drank. Aurora watched her over the rim of her whisky. “You really don’t drink.” “No.” “When did that happen.” “When I got tired of waking up with whole evenings missing.” “That must have cut the guest list.” “It improved it.” Aurora looked back at her glass. “In Cardiff, you once drank peach schnapps from a flower vase.” Eva winced. “It was a jug. And if you tell anyone from chambers, I’ll sue.” “You’d have to prove defamation.” “You still do that thing with your voice when you know you’re right.” Aurora’s fingers brushed the crescent scar at her left wrist, a quick thumb against skin. “I did pre-law. I didn’t die from it.” “No. You left.” The words landed between them with more weight than the sentence should have held. Aurora looked at the bottles behind the bar. Her own face stared back from the mirror in broken pieces between labels and glass. “You make that sound dramatic.” “You got on a train with one holdall and a black eye.” Aurora’s jaw tightened. “Not here.” Eva lowered her eyes to the bar. “Fair.” Silas passed again, collected empties, and set a little dish of nuts down near Eva without asking. She looked at it as if gifts from men over fifty had become rare in her life. “He always does that?” “He feeds people until they tell the truth or fall asleep.” “Still collecting strays.” Aurora turned to her. “You remember that?” Eva gave a small snort. “You wrote about him.” “I wrote one message.” “You wrote five.” “I wrote one proper message and four versions of ‘London is loud and I hate my job’.” “You left out the part where you’d moved in above a spy’s bar.” Aurora stared. Eva looked up over the rim of her glass. “You think I forgot your style? Half the message on practicalities, one line at the end that mattered. ‘He keeps a shelf of Balkan maps and never asks a direct question.’ I knew the type.” Aurora felt heat rise under her collar, absurd after all this time. “I didn’t know you’d kept them.” Eva plucked a peanut from the dish and set it back. “I kept a lot of things.” The rain thickened outside. Someone opened the door, let in a blade of cold and a burst of street noise, then closed it again. The bar settled. Aurora tilted her head. “So. Family law. Sensible shoes. Soda water. What happened to the woman who dyed her hair with fabric stain because she couldn’t afford proper colour.” Eva rubbed the side of her glass with her thumb. “She got tired.” “That all?” “Isn’t it enough.” “No.” Eva laughed once, without humour. “There was Tom.” Aurora’s expression did not move, but Eva saw the flicker. In Cardiff, Tom had been the city-boy boyfriend with expensive shirts and a smile that always arrived half a second late. “You stayed with him.” “For too long.” “That part doesn’t shock me.” “He left.” “That part doesn’t either.” Eva looked out towards the rain-slick window, though there was nothing to see except neon broken across wet glass. “We married. Bought the flat. Turned thirty. Started speaking about kitchen islands as if that counted as intimacy. Then he left with someone from his firm who had very white teeth and no sense of irony. I drank for a year. Nearly two.” Aurora leaned an elbow on the bar. “You always had a sense of irony.” “It didn’t help at three in the morning.” “And now?” “Now I work. I go home. I buy decent coffee. I know the names of my clients’ children and the side effects of every sleeping pill on the market.” “That sounded grim enough to be honest.” “It was meant to.” Aurora swallowed whisky. “I’m sorry.” Eva’s mouth softened for the first time. “You always sound annoyed when you mean that.” “It keeps people from making a scene.” “You still hate scenes.” “I’m sitting in one.” Eva looked at her then. Really looked. At the black hair tucked behind one ear. At the clean line of her mouth. At the jacket with the restaurant name stitched in gold over the chest. At the bright blue eyes that had once given away every thought before Aurora learnt how to shutter them. “You changed too, Rory.” Aurora rolled the glass between her hands. “Everyone does.” “You used to speak with your whole body. If you were angry, the room knew. If you liked someone, they knew that as well.” “That sounds unsafe.” “It was honest.” Aurora took another sip. “And now?” “Now I can’t tell if you want me here.” Aurora looked at her straight on. “I don’t know yet.” Eva took that. Her throat moved when she swallowed. “I deserved that.” “Did you.” “Yes.” A couple near the door paid and left. The room thinned. Music hummed low from a speaker behind the shelves, an old soul track worn smooth by use. Silas leaned at the till, writing something in a ledger with the concentration of a man balancing more than stock. Eva touched the dish of nuts again and left them alone. “I looked for you, after.” Aurora’s laugh came out flat. “You sent one email with no subject line.” Eva’s head snapped round. “I came back to the flat and you were gone.” “You’d moved Tom in.” “He stayed three nights.” “He hung his shirts in the wardrobe.” “You counted shirts?” “I counted everything then.” Eva’s fingers curled round the glass until the knuckles blanched. “I thought you wanted space.” Aurora stared at the amber left in her whisky. “I wanted you to notice.” Silence opened. Not the easy kind. Not the kind old friends could sit in and let do the work. This one stood between them with all its teeth visible. Eva breathed in through her nose. “I noticed the note on the counter.” Aurora looked up. “What note.” “The receipt from the off-licence. ‘Thank you for the sofa. Don’t make this ugly.’” Aurora’s brow knotted. “I didn’t write that.” Eva’s face changed by a degree. Small. Enough. “You didn’t.” “No.” They looked at each other across the bar. Rain hissed outside. Silas, at the till, lifted his head without turning. Eva let go of the glass. “Tom told me you’d left before dawn.” “I left at half ten. He was in the kitchen.” The room seemed to narrow, the old photographs and maps drawing in, every line in the wood beneath their hands growing visible. Aurora’s voice dropped. “He told me you were relieved.” Eva’s mouth parted. Nothing came out. She pressed her tongue against one tooth, a gesture Aurora remembered from exam halls, train platforms, borrowed kitchens. “He told me you’d said I couldn’t stay.” Aurora’s fingers slipped from the whisky. Glass clicked against wood. For the first time that night, the old Eva surfaced in full: not the shoes, not the haircut, not the careful voice from some polished office, but the raw streak underneath, the one that used to leap before it looked. Colour rose into her face. “That lying bastard.” Aurora held her gaze. “You married him.” Eva’s eyes shone with something sharper than tears. “Yes.” Aurora sat back. “There it is.” Eva looked down, then up again, jaw set hard enough to crack. “I got you out of Cardiff and handed you to another man’s version of me. I know.”
created_at"2026-03-09T16:29:32.853Z" 3/9/2026, 4:29:32 PM
model"openai/gpt-5.4-20260305"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency93574
moderation_latency(null)
generation_time169923
tokens_prompt1094
tokens_completion4610
native_tokens_prompt982
native_tokens_completion6369
native_tokens_completion_images0
native_tokens_reasoning3584
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
usage0.09799
router(null)
provider_responses
0
endpoint_id"9ff5625c-403f-4d7f-b895-58ac7295062c"
id"resp_09607e2947de8b400169aef56cf1bc81978cd9180c75e429b6"
is_byokfalse
latency187
model_permaslug"openai/gpt-5.4-20260305"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1773073772-o8Ztktlec7NoFSDqShxu"
upstream_id"resp_09607e2947de8b400169aef56cf1bc81978cd9180c75e429b6"
total_cost0.09799
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
93.24% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount2218
totalAiIsmAdverbs3
found
0
adverb"really"
count2
1
adverb"very"
count1
highlights
0"really"
1"very"
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)
84.22% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount2218
totalAiIsms7
found
0
word"could feel"
count1
1
word"flicked"
count1
2
word"weight"
count1
3
word"flicker"
count1
4
word"sense of"
count2
5
word"silence"
count1
highlights
0"could feel"
1"flicked"
2"weight"
3"flicker"
4"sense of"
5"silence"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"let out a breath"
count1
highlights
0"let out a breath"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences139
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences139
filterMatches(empty)
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences274
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen43
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords2218
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions12
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions96
wordCount1323
uniqueNames12
maxNameDensity3.02
worstName"Aurora"
maxWindowNameDensity5.5
worstWindowName"Aurora"
discoveredNames
Raven1
Nest1
Golden1
Empress1
London1
Morgan1
Cardiff2
Aurora40
Eva37
Prague1
Tom1
Silas9
persons
0"Raven"
1"Morgan"
2"Aurora"
3"Eva"
4"Tom"
5"Silas"
places
0"London"
1"Cardiff"
2"Prague"
globalScore0
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences88
glossingSentenceCount0
matches(empty)
64.74% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches3
per1kWords1.353
wordCount2218
matches
0"not the shoes, not the haircut, not the careful voice from some polished office, but the raw streak underneath, the one"
1"not the haircut, not the careful voice from some polished office, but the raw streak underneath, the one"
2"not the careful voice from some polished office, but the raw streak underneath, the one"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences274
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs221
mean10.04
std13.26
cv1.321
sampleLengths
056
175
224
310
48
510
61
76
85
94
1061
113
125
139
147
1514
166
1722
181
198
201
21121
2212
234
245
253
2610
279
288
299
3024
3122
322
334
341
353
364
371
3811
3913
405
4115
422
4329
4416
451
468
474
484
495
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences139
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs224
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences274
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1328
adjectiveStacks0
stackExamples(empty)
adverbCount29
adverbRatio0.021837349397590362
lyAdverbCount3
lyAdverbRatio0.002259036144578313
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences274
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences274
mean8.09
std7.4
cv0.914
sampleLengths
020
17
229
331
410
534
624
710
88
910
101
116
125
134
143
159
1631
173
186
197
202
213
225
235
244
257
266
278
286
2922
301
318
321
3313
3436
356
3610
374
384
397
4016
4125
4212
434
445
453
4610
479
488
499
44.53% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats15
diversityRatio0.22992700729927007
totalSentences274
uniqueOpeners63
25.64% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences130
matches
0"Even the way she stood"
ratio0.008
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount13
totalSentences130
matches
0"Her hair clung in dark"
1"He set a bowl of"
2"Her hair had gone back"
3"Her fingers were bare."
4"Her face had sharpened."
5"She took the stool beside"
6"His hazel eyes flicked to"
7"He knew when a room"
8"Her own face stared back"
9"She looked at it as"
10"Her throat moved when she"
11"They looked at each other"
12"She pressed her tongue against"
ratio0.1
29.23% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount112
totalSentences130
matches
0"Rain needled the green neon"
1"Aurora sat at the far"
2"Her hair clung in dark"
3"Silas moved along the bar"
4"He set a bowl of"
5"Aurora tipped one into her"
6"The door opened."
7"A gust of cold air"
8"A woman stepped in, pausing"
9"Hair cut blunt at the"
10"A leather case tucked under"
11"Silas looked up."
12"The woman unbuttoned her coat."
13"The voice came first."
14"Aurora’s hand tightened round the"
15"The whisky shifted and tapped"
16"The woman turned at the"
17"Aurora let out a breath"
18"Eva Morgan stood in the"
19"This woman had none of"
ratio0.862
38.46% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences130
matches
0"Now she kept her elbows"
ratio0.008
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences48
technicalSentenceCount2
matches
0"A woman stepped in, pausing under the green spill from the sign as if she had walked through the wrong doorway and needed a second to decide whether to admit it…"
1"The room seemed to narrow, the old photographs and maps drawing in, every line in the wood beneath their hands growing visible."
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
86.0020%