Run: 2026-07-09-01KX40KQBFR6W62N8HFSWHJQ03

Run Details

Duration:
34.6s
Cost:
$0.044048
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="4415" name="Lucien Moreau" aliases="Lucien, Luc, the Frenchman" pronouns="he/him" species="Half-Demon" storyRole="Ally"> <eyeColor>heterochromatic — one amber, one black</eyeColor> <hair>slicked-back platinum blond</hair> <height>5'11"</height> <age>32</age> <cane>ivory-handled cane that conceals a thin blade</cane> <dress>tailored charcoal suits</dress> <description>An impeccably dressed fixer and information broker in London's supernatural underworld. He speaks four languages fluently.</description> <backstory>Born in Marseille to a human mother and a demon father from the realm of Avaros.</backstory> </character> <location id="858" name="Eva's Flat" aliases="Eva's place, the flat on Brick Lane" realm="Earth"> <cat>tabby cat named Ptolemy</cat> <security>three deadbolts on the front door</security> <description>A cramped one-bedroom flat above a curry house on Brick Lane, East London. Every surface is covered with books, scrolls, and research notes.</description> </location> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the romance genre. Two people who parted on complicated terms are forced together again when one shows up unannounced at the other's flat. There's history between them — attraction, hurt, and things left unsaid. Write the scene from the moment the door opens. 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 first deadbolt scraped back, then the second, then the third. Aurora opened the door with a takeaway carton tucked under one arm and a fork clenched between her teeth. Lucien Moreau stood in the narrow corridor outside Eva’s flat, dry beneath a black umbrella despite the rain rattling against the stairwell window. His charcoal suit looked pressed beneath his long coat. Platinum hair lay slicked away from his face. One eye caught the yellow hall light in amber; the other held it without reflecting anything back. Aurora stopped with the door half-open. The fork slipped from her mouth and struck the warped floorboards. “Out.” Lucien looked past her shoulder at the flat. Books formed crooked towers along the walls. Scrolls spilled from an armchair. Ptolemy sat on the kitchen table beside a bowl of cold noodles, tail wrapped around his paws, staring at Lucien with the flat suspicion reserved for men in expensive coats. “Bonsoir, Rory.” “Don’t call me that.” “You let the cat on the table now.” “You crossed London to discuss hygiene?” His mouth shifted, not quite a smile. “I crossed London because I needed to see you.” “You had three months to need that somewhere else.” Aurora pushed the door towards him. Lucien caught it before it closed, one gloved hand against the peeling blue paint. He did not force it wider. He only held it there, his cane hooked over his other wrist. “Two minutes.” “You don’t get two minutes.” “Then give me one.” She stared at his hand on her door. The knuckles showed pale beneath the leather. A ridiculous detail. Her mind latched onto it because the alternative involved remembering those same hands unbuttoning the cuff of her jacket in the back room of Silas’ bar, careful around the crescent scar on her wrist. She hated that memory. She hated that it still arrived warm. “You left,” she said. “I know.” “No note. No message. Nothing. One night you stood in my kitchen and told me you’d stop treating me like a source, then you vanished before breakfast.” “I had reasons.” “Everyone has reasons. They usually sound less insulting when they bother to say them aloud.” A door opened somewhere below. The curry house kitchen sent up a gust of fried onions, chilli, and damp wool. A man’s voice shouted in Bengali. Lucien glanced down the stairs, then back at her. “Inside, please.” Aurora laughed once. “You don’t get to say please like it fixes things.” “It fixed very little in my experience.” That landed too close to the truth. She stepped back, not because she forgave him, not because his voice still carried that low Marseille roughness that snagged under her ribs, but because she refused to have this conversation in a stairwell where Mrs Basu from the second floor could hear every word. Lucien entered without brushing against her. He shut the door and slid each deadbolt home with measured clicks. Aurora’s shoulders tightened. “Don’t.” His hand left the last lock at once. “Habit.” “It isn’t your habit in here.” “No.” He looked at the locks, then at her. “It isn’t.” Ptolemy jumped down from the table and stalked over, nose lifted. Lucien crouched with the care of a man approaching a loaded gun. The tabby sniffed his glove, sneezed, and retreated beneath the sofa. “Wise creature,” Lucien murmured. “Ptolemy remembers you.” “I brought him smoked mackerel.” “You brought him fish because you wanted to charm your way past Eva’s wards.” “It worked.” “It did not work. Eva let you in because you threatened to report her library to the fire brigade.” Lucien removed his gloves finger by finger. “I said the fire brigade would take an interest.” “You were unbearable even when I liked you.” The words hung between them. His amber eye dropped for a fraction of a second. The black one stayed fixed on her. Aurora bent to pick up the fork. She needed something to do with her hands. The flat had shrunk around him. His clean scent cut through old paper, curry spice, and the lavender detergent Eva bought in bulk. He belonged nowhere in this mess, which made his presence feel worse. Like someone had placed a knife in a child’s toy box. “You have one minute,” she said. Lucien leaned his cane against the wall beside the door. The ivory handle shone against a stack of battered occult encyclopaedias. “I need your help.” She gave him a hard look. “There it is.” “Rory—” “No. Don’t soften it. You didn’t come because you missed me. You didn’t come because you owed me an apology. You came because you need something.” “I came because both are true.” “Pick one lie at a time.” He drew in a breath through his nose. “There is a ledger.” “A ledger.” “A record of contracts. Names, bloodlines, favours owed, bindings made in the old languages. It belonged to a broker who died last week in Whitechapel.” “You have a dozen people who can read old languages.” “Not this hand.” Aurora folded her arms. “And what hand would that be?” Lucien stepped towards the kitchen table. He did not touch the scattered papers there. A page of Eva’s notes lay open beside a cracked mug: protective circles, smoke patterns, a list of demon names crossed out in red. “The entries have been written in a cipher based on legal shorthand,” he said. “British and French, with Welsh marginalia.” “Legal shorthand.” “Your father trained you well.” “My father trained me to spot men who hid knives in polite language.” Lucien’s glance flicked to his cane. “Your father had excellent instincts.” “Why not call Brendan, then? He’d enjoy charging you by the hour.” “Because I needed someone who could see the thing beneath the text.” Aurora’s laugh held no humour. “You mean someone disposable enough to handle cursed paper while you stand back in a clean suit.” The line cut him. She saw it in the set of his jaw. “Fair,” Lucien said. That word knocked some of the heat out of her anger. Not much. Enough to make room for the other thing: the old, inconvenient pull she had spent months feeding to silence. She walked past him to the kitchen counter and shoved the takeaway carton aside. Her black hair had slipped forward over one shoulder. She tucked it behind her ear, then spotted the trembling in her fingers and curled them into a fist. “Who died?” “Matteo Varga.” “The Hungarian collector?” “The same.” “I delivered him duck pancakes in January.” “He spoke of you afterwards.” “Of course he did.” “He said you looked at him like you knew what he was.” “I looked at him like he owed Yu-Fei twelve quid.” Lucien’s mouth gave way this time. A brief, unwilling smile altered his whole face. It brought back too much: rain on his collar, his hand at the small of her back, that first night when she had caught him lying and he had looked delighted instead of ashamed. Aurora turned away before the sight could root itself in her. “What did Varga’s ledger have to do with me?” “Your name appears in it.” The room went still. Outside, a bus groaned along Brick Lane. Ptolemy shifted under the sofa. The radiator knocked twice, metal against metal. Aurora looked over her shoulder. “My name.” “Not Aurora Carter.” “Then what?” Lucien reached inside his coat. Her body moved before thought. She snatched the steak knife from the draining board and held it low against her thigh. Lucien stopped. “Still fast,” he said. “Still alive.” He brought out a folded photograph, not a weapon. He placed it on the table, then stepped back. Aurora did not lower the knife. The photograph showed a page under glass, yellowed and stained at the corners. The writing ran in narrow black columns. Most of it meant nothing at first glance: dates, symbols, names that blurred into scratches. A line near the bottom had been circled in dark ink. LAILA. Beneath it sat a mark shaped like a hooked crescent. Aurora’s gaze dropped to her left wrist. The scar had faded over the years. A pale curve, no bigger than a thumbnail. She had got it at eight, after falling through the broken pane of the old greenhouse behind her grandparents’ house. That was all it had ever been. Glass. Blood. Her mother’s shaking hands around a tea towel. Her stomach tightened. “You knew,” she said. “No.” “You knew something.” “I knew Varga had asked questions about a woman in East London. I knew he had obtained an old family record connected to Cardiff. I did not know the name until tonight.” “And you ran here because you wanted to protect me?” “Yes.” “After disappearing for three months.” “Yes.” The bluntness of it left her with nowhere to throw the next accusation. She set the knife on the counter, though she kept one hand near it. “You could have sent a message.” “A message could have been intercepted.” “You have people who deliver sealed notes.” “I did not trust them.” “You trusted no one?” His gaze settled on her face. “That was the problem.” Aurora swallowed. “You make everything sound noble after you’ve made it ugly.” “I am not asking you to call it noble.” “Good.” He stood beside the table, coat still dripping a thin dark line onto Eva’s rug. The tailored collar no longer looked invincible. A crease sat between his brows. His hands rested open at his sides, empty and visible. “I left because someone inside my network sold information,” he said. “Your address, your work routes, the names of the people you cared about. I had two choices. I could tell you and draw danger to your door at once, or I could remove every thread linking you to me before they pulled it.” “You made that choice for me.” “Yes.” “You decided I was too fragile to know.” “No.” His voice sharpened. “I decided I could not bear being the reason someone put a knife in you.” Aurora held his eyes. The black one gave nothing away. The amber one did. It carried exhaustion, anger turned inward, and something she had no business wanting from him. “You didn’t even say goodbye.” “I knew if I saw you, I would stay.” “That’s not romantic, Lucien. It’s cowardly.” “I know.” She moved around the table until only the cluttered wood separated them. “You don’t get to turn up, put a dead man’s ledger in front of me, and expect me to step back into whatever this was.” “I don’t expect anything.” “You came here for my help.” “I came here to warn you. The help was selfish.” “Finally.” “I have been practising honesty. It remains unpleasant.” That nearly pulled a smile from her. She bit it back. “Who else knows about Laila?” “Me. Whoever killed Varga. Possibly the person who wrote the ledger, if they still live.” “And this symbol?” Lucien looked at the photo. “I have seen it once.” “Where?” “In Avaros.” Aurora’s hand tightened on the table edge. “You said you wouldn’t take me there.” “I said I would not take you there unless you asked.” “That was before you found my name in some demon accountant’s notebook.” “It remains true.” “Does it?” He did not answer. The silence had teeth. Aurora looked down at the circled word again. Laila. An alias she had used once, years ago, when Evan had searched her socials after their break-up and Eva had helped her disappear for a week. Nobody outside that small circle should have known it. Nobody dead in Whitechapel should have written it beside a scar she had never thought mattered. Lucien reached for the photograph, then stopped short of touching it. “I brought the original,” he said. “It is downstairs in the car, inside a warded case.” “You brought a cursed ledger into Brick Lane?” “I brought it near Brick Lane.” “Comforting.” “I can take it away.” Aurora looked at him, at the careful distance he had left between them, at the rainwater darkening the shoulder of his coat. “You should have told me,” she said. “Yes.” “You should have trusted me.” “Yes.” “You should have come back.” His face changed then. The answer sat in his throat before he gave it. “Yes.” Ptolemy emerged from beneath the sofa, crossed the room, and rubbed against Lucien’s trouser leg. Lucien looked down as if the cat had offered a formal pardon. Aurora exhaled through her nose. “Don’t read into that,” she said. “He’s a traitor.” “Cats have always possessed flexible morals.” “Sit down.” Lucien looked up. “That wasn’t forgiveness,” Aurora added. “That was an instruction.” “Of course.” He pulled out the chair opposite her and sat, setting his cane across his knees. Aurora remained standing for a moment, then took the chair beside the photograph. She turned it towards herself. “Start with Varga,” she said. “Tell me every word you left out.”
created_at"2026-07-09T18:00:33.911Z" 7/9/2026, 6:00:33 PM
model"openai/gpt-5.6-terra-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency508
moderation_latency(null)
generation_time34390
tokens_prompt1034
tokens_completion3646
native_tokens_prompt927
native_tokens_completion2782
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"
usage0.0440475
router(null)
provider_responses
0
endpoint_id"3cc89000-ae34-4dde-9c7d-5ce009c8af0b"
id"resp_0ff6ac52456b7184016a4fe1c1fbb481949d90c225f0218787"
is_byokfalse
latency224
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-1783620033-Hz7WNOxwsE73Kr1xKkKq"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783620033-5Fz5xya6KvmaYydQHTw4"
upstream_id"resp_0ff6ac52456b7184016a4fe1c1fbb481949d90c225f0218787"
total_cost0.0440475
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)
dialogueSentences136
tagDensity0.125
leniency0.25
rawRatio0
effectiveRatio0
97.69% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount2161
totalAiIsmAdverbs1
found
0
adverb"very"
count1
highlights
0"very"
100.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found(empty)
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
83.80% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount2161
totalAiIsms7
found
0
word"measured"
count1
1
word"charm"
count1
2
word"flicked"
count1
3
word"silence"
count2
4
word"stomach"
count1
5
word"comforting"
count1
highlights
0"measured"
1"charm"
2"flicked"
3"silence"
4"stomach"
5"comforting"
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
narrationSentences146
matches
0"looked delighted"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences146
filterMatches
0"feel"
hedgeMatches(empty)
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
maxSentenceWordsSeen45
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords2161
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions31
unquotedAttributions0
matches(empty)
66.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions59
wordCount1283
uniqueNames13
maxNameDensity1.64
worstName"Lucien"
maxWindowNameDensity3
worstWindowName"Lucien"
discoveredNames
Moreau1
Eva5
Lucien21
Bengali1
Marseille1
Mrs1
Basu1
Ptolemy4
Brick1
Lane1
Aurora20
Evan1
Whitechapel1
persons
0"Moreau"
1"Eva"
2"Lucien"
3"Mrs"
4"Basu"
5"Ptolemy"
6"Aurora"
7"Evan"
places
0"Bengali"
1"Marseille"
2"Brick"
3"Lane"
globalScore0.682
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences99
glossingSentenceCount1
matches
0"not quite a smile"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount2161
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount2
totalSentences267
matches
0"hated that memory"
1"hated that it"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs185
mean11.68
std13.14
cv1.125
sampleLengths
011
119
257
36
411
51
650
72
84
98
106
1116
129
1338
142
155
164
1752
1811
194
202
2127
223
2315
2435
252
2613
277
2852
2918
303
311
329
336
3411
3534
364
373
385
3914
402
4119
4216
438
445
4517
4661
476
4821
494
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences146
matches
0"been circled"
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
semicolonCount1
flaggedSentences1
totalSentences267
ratio0.004
matches
0"One eye caught the yellow hall light in amber; the other held it without reflecting anything back."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount824
adjectiveStacks0
stackExamples(empty)
adverbCount19
adverbRatio0.023058252427184466
lyAdverbCount4
lyAdverbRatio0.0048543689320388345
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
mean8.09
std6.76
cv0.836
sampleLengths
011
119
223
39
48
517
66
711
81
98
107
115
1230
132
144
158
166
177
189
199
206
2114
226
2312
242
255
264
278
287
293
3034
314
327
334
342
3527
363
3715
385
3915
406
419
422
433
4410
457
467
4745
486
4912
45.13% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats13
diversityRatio0.250936329588015
totalSentences267
uniqueOpeners67
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences126
matches(empty)
ratio0
83.49% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount43
totalSentences126
matches
0"His charcoal suit looked pressed"
1"His mouth shifted, not quite"
2"He did not force it"
3"He only held it there,"
4"She stared at his hand"
5"Her mind latched onto it"
6"She hated that memory."
7"She hated that it still"
8"She stepped back, not because"
9"He shut the door and"
10"His hand left the last"
11"He looked at the locks,"
12"His amber eye dropped for"
13"She needed something to do"
14"His clean scent cut through"
15"He belonged nowhere in this"
16"She gave him a hard"
17"He drew in a breath"
18"He did not touch the"
19"She saw it in the"
ratio0.341
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount120
totalSentences126
matches
0"The first deadbolt scraped back,"
1"Aurora opened the door with"
2"Lucien Moreau stood in the"
3"His charcoal suit looked pressed"
4"Platinum hair lay slicked away"
5"Aurora stopped with the door"
6"The fork slipped from her"
7"Lucien looked past her shoulder"
8"Books formed crooked towers along"
9"Scrolls spilled from an armchair."
10"Ptolemy sat on the kitchen"
11"His mouth shifted, not quite"
12"Aurora pushed the door towards"
13"Lucien caught it before it"
14"He did not force it"
15"He only held it there,"
16"She stared at his hand"
17"The knuckles showed pale beneath"
18"A ridiculous detail."
19"Her mind latched onto it"
ratio0.952
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences126
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences47
technicalSentenceCount1
matches
0"She stepped back, not because she forgave him, not because his voice still carried that low Marseille roughness that snagged under her ribs, but because she ref…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags17
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags13
fancyCount2
fancyTags
0"Lucien murmured (murmur)"
1"Aurora added (add)"
dialogueSentences136
tagDensity0.096
leniency0.191
rawRatio0.154
effectiveRatio0.029
85.8927%