Run: 2026-07-09-01KX41K40Z5TNG07JC3WS1QNVF

Run Details

Duration:
34.3s
Cost:
$0.043525
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 raven above the door spat light across wet pavement and the shoulders of people hurrying past with their collars up. Aurora had watched it from her window for nearly two years. Tonight it pulsed through the rain like a bad signal. She came down the narrow stairs from her flat in socks and an old university jumper, one hand pressed to the banister where the paint had worn pale beneath countless palms. The bar below carried its usual smells through the floorboards: citrus peel, stale beer, hot dust from the radiator. Silas stood behind the counter, drying a glass with a white cloth. His grey-streaked auburn hair lay combed back from his temples. A framed map of Prague hung behind him, yellowed at the folds. “You’re off duty, then,” he remarked. Aurora pulled a pair of boots on by the bottom stair. “Yu-Fei sent me home before I dropped soup over a man in Mayfair.” “A grave professional failure.” “He wore cream trousers. I did him a public service.” Silas’s mouth shifted beneath his neat beard. “Tea?” “Whisky.” He set down the glass. “Tea.” “Fine. Tea with enough whisky that I can still complain about it.” She crossed the room, rubbing rain from her black hair. The Nest sat half-full. Two men in office shirts crouched over a football score near the window. A woman in a red coat occupied the corner table beneath an old photograph of the Thames, her face hidden behind the wine list. Aurora slid onto a stool. Her left wrist caught against the brass edge of the bar, and the small crescent scar there flashed pale. Silas poured tea from a chipped blue pot into a glass mug, then added a measured splash from a bottle beneath the counter. “You’ve had a call from Cardiff,” he told her. Aurora stopped reaching for the mug. “Dad?” “Your mother. She asked whether you still checked your post.” “I check it.” “You stack it on the radiator until it becomes architecture.” “That counts.” Silas gave her a look. “She wants me to come home for Christmas,” Aurora muttered. “Which means Dad has found another reason to ask why I abandoned a degree that cost him years of muttering about the state of tuition fees.” “Your father enjoys muttering.” “He treats it as an art form.” The woman in the red coat lowered the wine list. Aurora’s hand closed around the tea mug. Heat bit into her palm. The woman had cut her hair close to her head. Not a soft change, not a fashionable trim. Dark curls had been shaved at the sides and swept across the crown in a sharp black wave. A narrow scar ran from her right eyebrow into her hairline. Her left hand rested flat on the table beside an empty wineglass. No rings. Her nails had been bitten down to raw half-moons. But the eyes stayed the same. Eva Morgan used to have eyes that made every plan feel brilliant. She had dragged Aurora over Cardiff walls after midnight, talked their way into gigs with no tickets, taken buses to the coast because the sea looked angry and they wanted to see why. Eva looked at Aurora as if she had opened a door in a house she had burned down. “Rory?” The name entered the room quietly. It still struck hard. Aurora rose from the stool. “Eva.” Silas put the bottle away. The office men shouted at the television. A glass crashed somewhere near the far end of the bar, and a few people laughed. Eva stood. She wore a charcoal suit under the red coat, all clean lines and expensive cloth. A leather satchel leaned against her chair. “You live here?” Eva’s gaze travelled to the staircase, then back. “Above a pub?” “Bar.” “Sorry. Bar.” “You’re allowed one mistake. Don’t make a habit of it.” Eva gave a small smile, then let it fall. “You cut your hair.” “So did you.” “I made a career out of bad decisions.” “I remembered. You always had range.” Silas placed a fresh glass on the counter and looked at Eva. “Whisky?” he offered. “Nothing, thanks.” “You came into a Soho bar and ordered wine,” Aurora said. “Who were you, and what did you do with Eva Morgan?” Eva’s fingers tightened around the back of her chair. “I had a meeting nearby.” “At half nine on a Tuesday?” “I work odd hours.” “Doing what?” “Consultancy.” Aurora laughed once. “That sounded illegal.” “It wasn’t illegal.” “That wasn’t an answer.” Eva glanced towards Silas. He had moved to the till, though Aurora knew better than to mistake distance for inattention. His silver signet ring clicked against the keys. “I helped companies manage risk,” Eva replied. “You used to help people steal traffic cones.” “I still managed risk. I just got paid.” Aurora picked up her tea and moved to Eva’s table without waiting for an invitation. She sat opposite. The table held a closed notebook, a fountain pen, and a phone with its screen face down. “You never answered my messages.” Eva settled into her chair. “I know.” “Not one.” “I know.” “I sent you postcards from every grim little place Evan took me after we left uni. Brighton, Bristol, that caravan park near Swansea where the shower block smelled like boiled eggs.” Eva’s eyes dropped to the notebook. “You sent me a birthday card the year I turned twenty-three,” Aurora continued. “A blank card. No note. Just your name.” “I didn’t know what to write.” “Most people manage ‘happy birthday.’” “I had the card for three weeks. I wrote it six times.” “And then you sent me nothing.” “I sent the card.” “You sent me an envelope full of cowardice.” Eva flinched. The movement barely showed, but Aurora saw it. Silas brought over a bottle of water and set it beside Eva’s empty glass. “On the house,” he told her. Eva nodded at him. “Thank you.” “You knew she was here?” Aurora asked. Silas returned behind the bar with his limp more marked than usual. “I knew her name,” he answered. “I didn’t know your history.” Eva watched him go. “He was always this welcoming?” “He gets worse after midnight.” “You trust him?” Aurora took a drink. The whisky had softened the tea into something smoky and bitter. “I sleep above his bar. He knows where I keep the spare key. I’d say that puts him ahead of most people.” Eva looked towards the shelves of old maps. “You never liked strangers knowing things about you.” “I got tired.” The words sat between them. Eva’s face changed. The hard polish of it cracked for an instant, and Aurora saw the girl who once sat cross-legged on the floor of Aurora’s bedroom, eating dry cereal from the box while Aurora pretended not to cry over an exam result. “You got tired,” Eva repeated. “Years ago.” “Was he—” “Don’t.” Eva pressed her lips together. “You don’t get to come back after five years and say his name like you were there,” Aurora said. “You weren’t.” “I heard things.” “From whom?” “People.” “People. Right. Cardiff had people last time I checked.” “I heard you’d left him.” “That must have made the rounds.” “I heard you’d gone to London.” “And still you didn’t call.” Eva picked up the water glass, then set it down untouched. “I left Cardiff too.” “That explained the blank card?” “No.” “Good. I worried there might be a sensible reason.” “There wasn’t one.” Aurora leaned back. The chair creaked beneath her. Eva reached into the satchel and took out a cigarette case, silver, scratched along one edge. She turned it over in her hands but did not open it. “I saw Evan outside the railway station,” Eva said. Aurora’s fingers locked around her mug. “Which station?” “Cardiff Central. It was after you left. I’d gone back for Mum’s birthday.” “You saw him.” “He asked where you were.” “What did you tell him?” Eva looked up. “Nothing.” Aurora breathed through her nose. “That took courage.” “I was nineteen.” “So was I.” “I know.” “No, you don’t.” Aurora pushed the mug away. Tea sloshed over her knuckles. “You were nineteen and you went home to your mum. You blocked numbers. You found new friends, new work, this suit, whatever this was. I was nineteen and he knew where my lectures were. He knew my work shifts. He knew which bus I took when it rained.” “I know that now.” “You knew enough then.” Eva’s thumb traced the scratch on the cigarette case. “He cornered me outside the station,” she replied. “He had a split lip. He blamed you for it. He kept asking whether you’d gone to London, whether you’d gone to my cousin’s place in Peckham. I told him I didn’t know. Then I went home and I sat in the kitchen until Mum found me at four in the morning.” “And you never called.” “I thought if I called, he’d find out.” “He already had my number.” “I thought I would make it worse.” “You did.” “I know.” The office men left. Cold air swept in when the door opened, bringing rain and the smell of diesel. The green neon trembled across the wet street outside. Aurora watched their reflections break apart in the puddles. Eva took a breath that caught halfway. “I wrote you a letter,” she said. “Another one?” “Seven, actually.” “Were they blank too?” “No.” Eva looked at her hands. “The first one said I was sorry. The second one said I was scared. The third one accused you of leaving me to deal with him, which was vile, and I burned it before I could post it.” Aurora’s jaw tightened. “The last one sat in my drawer for four years,” Eva continued. “I took it with me when I moved. I took it to Leeds. Then Manchester. I took it to every flat. It got coffee on it, then rain, then some idiot’s blood after a party. I still didn’t post it.” “Why?” Eva lifted her eyes. “Because every time I pictured you reading it, I saw you deciding I deserved no answer.” “You did.” “I know.” “You keep saying that.” “What else did you want me to say?” Aurora looked at the woman across from her. The suit. The scar. The firm line of her shoulders. The old restless spark had not vanished; it had been buried under layers of discipline and expensive wool. “You could have said you missed me,” Aurora replied. Eva’s throat worked. “I missed you every day.” The bar seemed to narrow around them. Somewhere behind the counter, Silas changed the record. A trumpet entered the room, thin and bruised. Aurora looked at the cigarette case. She remembered it. Eva had stolen it from her grandfather’s sideboard at sixteen, convinced it made her look like a private detective. They had smoked clove cigarettes behind the sports hall and spent an hour coughing into their sleeves. “You still have that thing,” Aurora said. Eva blinked. “You remember.” “It was hideous.” “You loved it.” “I loved making fun of it.” “You kept it when I lost it at your house.” “You made me search under every cushion in the living room.” “You found it in your coat pocket.” “You put it there.” Eva’s mouth twitched. “You always assumed I had better things to do than sabotage you.” “You usually did.” Aurora reached for the cigarette case. Eva slid it across the table. The metal felt cold. Aurora opened it. Inside sat a folded scrap of paper instead of cigarettes. “That your letter?” she asked. Eva nodded. “You carried it into a meeting?” “I carried it everywhere.” Aurora held the paper between two fingers. The edges had gone soft with use. “You came here on purpose,” she said. Eva’s gaze settled on the green neon reflected in the window. “I came for a drink.” “That wasn’t my question.” “No.” Eva’s hand remained on the table, palm upward, empty. “It wasn’t.”
created_at"2026-07-09T18:17:42.697Z" 7/9/2026, 6:17:42 PM
model"openai/gpt-5.6-terra-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2694
moderation_latency(null)
generation_time34124
tokens_prompt1094
tokens_completion3368
native_tokens_prompt982
native_tokens_completion2738
native_tokens_completion_images0
native_tokens_reasoning183
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"
usage0.043525
router(null)
provider_responses
0
endpoint_id"3cc89000-ae34-4dde-9c7d-5ce009c8af0b"
id"resp_03d76e8687ba1c02016a4fe5c6cc108190a1848f51f663a084"
is_byokfalse
latency242
model_permaslug"openai/gpt-5.6-terra-20260709"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1783621062-qs9C4iRCp15o5O0hfXlE"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783621062-MhLfuLEFDxWjHF4PidWh"
upstream_id"resp_03d76e8687ba1c02016a4fe5c6cc108190a1848f51f663a084"
total_cost0.043525
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
totalTags24
adverbTagCount0
adverbTags(empty)
dialogueSentences145
tagDensity0.166
leniency0.331
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount2003
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)
85.02% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount2003
totalAiIsms6
found
0
word"pulsed"
count1
1
word"grave"
count1
2
word"measured"
count1
3
word"eyebrow"
count1
4
word"traced"
count1
5
word"trembled"
count1
highlights
0"pulsed"
1"grave"
2"measured"
3"eyebrow"
4"traced"
5"trembled"
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
emotionTells1
narrationSentences133
matches
0"looked angry"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences133
filterMatches
0"feel"
1"look"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences254
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen52
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords2003
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions32
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions87
wordCount1078
uniqueNames9
maxNameDensity3.43
worstName"Eva"
maxWindowNameDensity7
worstWindowName"Eva"
discoveredNames
Prague1
Aurora34
Nest1
Thames1
Morgan1
Cardiff1
Eva37
Silas10
Tea1
persons
0"Aurora"
1"Nest"
2"Morgan"
3"Eva"
4"Silas"
5"Tea"
places
0"Prague"
1"Thames"
2"Cardiff"
globalScore0
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences73
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount2003
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences254
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs184
mean10.89
std12.8
cv1.176
sampleLengths
044
150
234
36
411
513
64
710
88
91
105
111
1212
1351
1424
1523
169
176
181
1910
203
2110
222
235
2436
254
267
2710
2812
2970
306
3145
3218
331
3410
355
361
3728
3824
3914
401
412
4210
4313
443
458
466
4712
483
492
97.35% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences133
matches
0"been shaved"
1"been bitten"
2"been buried"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs189
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount1
flaggedSentences1
totalSentences254
ratio0.004
matches
0"The old restless spark had not vanished; it had been buried under layers of discipline and expensive wool."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1082
adjectiveStacks0
stackExamples(empty)
adverbCount28
adverbRatio0.025878003696857672
lyAdverbCount3
lyAdverbRatio0.0027726432532347504
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences254
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences254
mean7.89
std7.5
cv0.951
sampleLengths
023
111
210
331
419
512
610
712
86
911
1013
114
1210
137
141
151
165
171
1812
1910
204
2113
2224
235
2419
2523
269
276
281
2910
303
3110
322
335
3410
3526
364
377
3810
397
405
4110
428
4318
4411
4512
462
479
486
4912
44.49% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats14
diversityRatio0.23228346456692914
totalSentences254
uniqueOpeners59
30.86% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences108
matches
0"Somewhere behind the counter, Silas"
ratio0.009
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount18
totalSentences108
matches
0"She came down the narrow"
1"His grey-streaked auburn hair lay"
2"He set down the glass."
3"She crossed the room, rubbing"
4"Her left wrist caught against"
5"he told her"
6"Her left hand rested flat"
7"Her nails had been bitten"
8"She had dragged Aurora over"
9"It still struck hard."
10"She wore a charcoal suit"
11"He had moved to the"
12"His silver signet ring clicked"
13"She sat opposite."
14"he told her"
15"She turned it over in"
16"She remembered it."
17"They had smoked clove cigarettes"
ratio0.167
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount101
totalSentences108
matches
0"The green neon raven above"
1"Aurora had watched it from"
2"Tonight it pulsed through the"
3"She came down the narrow"
4"The bar below carried its"
5"Silas stood behind the counter,"
6"His grey-streaked auburn hair lay"
7"A framed map of Prague"
8"Aurora pulled a pair of"
9"Silas’s mouth shifted beneath his"
10"He set down the glass."
11"She crossed the room, rubbing"
12"The Nest sat half-full."
13"A woman in a red"
14"Aurora slid onto a stool."
15"Her left wrist caught against"
16"Silas poured tea from a"
17"he told her"
18"Aurora stopped reaching for the"
19"Silas gave her a look."
ratio0.935
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences108
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences42
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags24
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags18
fancyCount4
fancyTags
0"Aurora muttered (mutter)"
1"Aurora continued (continue)"
2"Eva repeated (repeat)"
3"Eva continued (continue)"
dialogueSentences145
tagDensity0.124
leniency0.248
rawRatio0.222
effectiveRatio0.055
85.2574%