Run: 2026-09-23-01M37HXTBR7GQKGEN1VYJAMH7E

Run Details

Duration:
48.2s
Cost:
$0.028114
Provider:
OpenAI

Model input

System
You are an expert fiction writer. Always keep the following rules in mind: - Write in past tense and use General English spelling, grammar, and colloquialisms/slang. - Write in active voice - Always follow the "show, don't tell" principle. - Avoid adverbs and cliches and overused/commonly used phrases. Aim for fresh and original descriptions. - Convey events and story through dialogue. - Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. - Skip "he/she said said" dialogue tags and convey people's actions or face expressions through their speech - Avoid mushy dialog and descriptions, have dialogue always continue the action, never stall or add unnecessary fluff. Vary the descriptions to not repeat yourself. - Put dialogue on its own paragraph to separate scene and action. - Reduce indicators of uncertainty like "trying" or "maybe" When writing text: - NEVER conclude the scene on your own, follow the beat instructions very closely. - NEVER end with foreshadowing. - NEVER write further than what I prompt you with. - AVOID imagining possible endings, NEVER deviate from the instructions. - STOP EARLY if the continuation contains what was required in the instructions. You do not need to fill out the full amount of words possible.
User/Human
Take into account the following glossary of characters/locations/items/lore... when writing your response: <codex> <character id="4412" name="Aurora Carter" aliases="Rory, Laila, Aurora, Carter, Malphora" pronouns="she/her" species="Human" storyRole="Protagonist"> <eyeColor>bright blue</eyeColor> <hair>straight shoulder-length black</hair> <height>5'6"</height> <age>25</age> <scar>small crescent-shaped scar on her left wrist from a childhood accident</scar> <description>Aurora, referred to by her friends as Rory, is cool-headed, intelligent, and known for quick out-of-the-box thinking.</description> <backstory>Born in Cardiff to an Irish barrister father (Brendan Carter) and Welsh teacher mother (Jennifer Carter née Ellis), Rory reluctantly pursued Pre-Law at Cardiff University. She fled to London at the behest of her childhood friend Eva after leaving an abusive ex named Evan. By day, Rory works part-time as a delivery person for Yu-Fei Cheung's Golden Empress restaurant. She lives in a flat above Silas' bar.</backstory> </character> <character id="4413" name="Silas Blackwood" aliases="Silas, Si, the Spymaster" pronouns="he/him" species="Human" storyRole="Mentor"> <eyeColor>hazel</eyeColor> <hair>grey-streaked auburn</hair> <height>6'1"</height> <age>58</age> <beard>neatly trimmed, matching his grey-streaked auburn hair</beard> <limp>slight limp in his left leg from an old knee injury</limp> <signetRing>silver signet ring, always worn on his right hand</signetRing> <description>Silas is a retired intelligence operative turned bar owner. He carries himself with quiet authority.</description> <backstory>Former MI6 field agent who retired after a botched operation in Prague left him with a permanent knee injury. He opened "The Raven's Nest" bar in Soho as a front for his network of contacts.</backstory> </character> <location id="854" name="The Raven's Nest" aliases="the Nest, Raven, Silas' bar" realm="Earth"> <signColor>distinctive green neon sign above the entrance</signColor> <secretRoom>hidden back room accessible through a bookshelf, used for clandestine meetings</secretRoom> <description>A dimly lit bar in Soho, London. The walls are covered with old maps and black-and-white photographs.</description> </location> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the literary fiction genre. Two old friends who haven't seen each other in years run into each other unexpectedly at a bar. One of them has changed significantly. Through their conversation and the tension between who they were and who they've become, reveal the weight of time and unspoken regret. Use the codex entries above as your world reference for characters and setting. Only include the prose of the scene without any markdown or commentary. </instructions>

Model response

AI
The green neon sign gave the rain a sickly colour. Aurora saw it reflected in the puddle outside The Raven’s Nest as she came round the corner with a delivery bag cutting into her shoulder. Inside, Silas had taken down the usual photograph above the end of the bar. The pale rectangle it left on the wall looked cleaner than anything else in the room. “What happened to the boxer?” she asked. Silas glanced at the bare patch. “Fell.” “Pictures fall when you take the nail out.” “Then I took the nail out.” He stood behind the counter with a screwdriver beside the till, his sleeves rolled to the elbow. The silver signet ring on his right hand caught the light when he reached for her bag. “Yu-Fei sent food,” Aurora told him. “You ordered enough for a wedding.” “Not mine.” He set the bag on the counter. Aurora slipped off her damp coat and hung it behind the bar. She lived upstairs; the coat hook had become hers through use rather than invitation. The Nest smelled of beer, orange peel and rain-soaked wool. Two men watched football without sound at a table near the door. A woman in a red scarf occupied a stool at the far end, bent over a newspaper. Silas unpacked the cartons. “You eaten?” “A spring roll on the walk.” “That’s theft.” “Tell Yu-Fei. She gave me two.” The woman in the red scarf lowered her newspaper. Aurora knew the movement before she knew the face. The careful fold at the centre, the thumb pressed against the print to keep it from springing open. At fifteen, Eva used to fold exam papers that way while she decided which answer to give first. Eva looked at her across the bar. Her hair had been cut close to her head. A narrow line of white ran through it above one ear. Aurora remembered long brown plaits and the furious way Eva had tugged them out after school. The plaits were gone, along with the roundness in her cheeks. She wore a dark jacket with a loose thread at the cuff and held the paper in hands that had once been covered in blue biro. “Rory.” Aurora gripped the back of an empty stool. “Eva.” Silas looked from one to the other. “You know each other.” “Since we were six,” Eva answered. “Since she stole my pencil case,” Aurora answered at the same time. “I returned it.” “You returned the pencils. You kept the case.” “It had a horse on it. You hated horses.” “I hated that horse.” Silas moved the cartons away from Aurora’s hand. “I’ll get plates.” He crossed to the cupboard beneath the shelves. His left leg dragged a fraction on the turn. Eva watched him, then brought her eyes back to Aurora. “I didn’t know you worked here,” Eva told her. “I don’t. I live upstairs.” Aurora tapped the delivery bag. “I brought Silas his dinner.” Eva glanced at the bag’s gold lettering. “Golden Empress. You still deliver for them?” “Four days a week.” “You used to complain you’d never find your way round London.” “I know the streets now.” Eva nodded and folded the paper once more. The empty stool between them became difficult to ignore. Aurora sat on it. “What are you doing here?” “Having a drink.” “You came across town for this place.” “How do you know where I live?” “I don’t.” Silas set two plates beside the cartons and put a glass of water in front of Aurora. “Food’s there if either of you wants it.” Eva raised her glass. “I’ve paid for my gin.” “I know.” Silas carried a carton to the men by the television, who had begun looking towards the bar. Aurora ran a finger through the water beading on her glass. Eva had written the address of Aurora’s first London room on the back of a petrol receipt. On the train out of Cardiff, Aurora had kept unfolding it to check the street name, though she could have recited every letter. Eva had found the room, spoken to the landlady and sent enough money to cover the deposit. By the time Aurora arrived, Eva had gone. “You didn’t tell me you were back,” Aurora told her. “I got in yesterday.” “From where?” “Bristol.” “You moved to Bristol?” “For a while.” Aurora studied the small glass in Eva’s hand. “You could have called.” Eva touched the rim to her mouth but didn’t drink. “Would you have answered?” “Yes.” “You stopped answering.” “That was years ago.” “I remember.” The television flashed blue against the old maps. One of the men muttered at the match. Aurora had spent whole evenings at that bar with her phone beside her, waiting for a message from Eva, and other evenings with the phone turned face down because she knew one would come. She could remember the cheap plastic cover, split at the corner. She had thrown it out long ago. “I answered when you rang about the room,” Aurora told her. “You answered the first week.” Eva set down the glass. She didn’t sound angry, which made Aurora want to defend herself more. “I was working,” Aurora said. “I know. You told me about Yu-Fei’s place.” “And you kept asking if I’d spoken to Evan.” “You had. He rang me looking for you.” Aurora watched Silas bend to hear one of the men’s order. His grey-streaked head nearly touched the man’s shoulder. He gave them the privacy he could in a room this size. “You could have told me he rang,” she said. “I did.” “You told me three weeks later.” “I told you when he stopped.” “That wasn’t your decision to make.” “No.” Eva took a drink. Aurora had expected an argument and found herself with nowhere to put it. When they were children, Eva had made decisions with a speed that left everybody else scrambling to keep up. At twelve, she had marched Aurora to the head teacher after a boy cut off one of her plaits. At nineteen, she had arrived at the Carter house on Christmas Eve with a suitcase and a bruised forehead, refusing to explain either. Aurora had let her sleep in her room. By morning, Eva had left a note under the kettle and caught a bus to Swansea. They had never spoken about that Christmas. “What happened to your hair?” Aurora asked. Eva put a hand to the white streak. “This bit? Came in last year.” “I meant the rest of it.” “I cut it.” “I can see that.” Eva gave a brief smile. “I was in hospital for a few months. It kept getting caught in things. When I came out, I couldn’t stand it touching my neck.” Aurora sat straighter. “Hospital?” “I’m all right.” “For what?” Eva looked at the newspaper between her hands. A train timetable showed through the page where the ink had rubbed away. “I had an accident at work. Fell from a ladder and broke a few things.” She tapped the back of her head. “Hit this, too.” “What work?” “I restore paintings. Or I did.” Eva picked at the loose thread on her cuff. “Mostly I work on frames now. They’re less likely to mind when I stop halfway.” Aurora remembered Eva at sixteen painting a mural across her bedroom wall while Jennifer Carter called up the stairs to ask whether it would wash off. Eva had drawn a coastline with houses perched along it, each window lit yellow. When Aurora’s parents redecorated, her father sent a photograph of the bare wall with the caption Your friend owes me primer. Aurora still had the picture on her phone. “You painted that enormous shop sign in Cardiff,” she said. “The one with the fish.” “Three fish. The owner insisted they were dolphins.” “They looked like fish.” “They were fish.” Eva rubbed a thumb against the edge of her glass. “I walked past last month. Someone painted over it.” “They’ve had four shops in there since.” “You’ve been back?” “For my mum’s birthday. Dad made everyone wear paper crowns. He wore his through dinner and answered the door in it.” Eva’s mouth tightened around a smile. “Brendan used to tell us to take ours off before pudding. Said the points bent when we leaned over our plates.” “He still says that.” Aurora waited for Eva to ask after her mother. She didn’t. She turned the newspaper face down and exposed an envelope beneath it. Aurora saw her own name, written in Eva’s old sloping hand. Eva put her palm over the envelope. “I was going to leave this with Silas.” “What is it?” “A photograph. I found a box when I moved.” “Why not put it through my door?” “I didn’t know you lived above the bar until he mentioned it.” Eva glanced towards Silas. “I asked if he knew you. He told me to sit down and wait.” Aurora looked at him. He was pulling a pint, shoulders squared to the taps. “He didn’t tell me you were here,” she said. “I asked him not to.” “You thought I’d leave?” “I thought you should choose whether to sit with me.” Aurora held out her hand. Eva slid the envelope across the counter. It had been opened and closed so many times the flap no longer stuck. Inside lay a photograph from a disposable camera: Aurora and Eva at seventeen, seated on the sea wall in Cardiff with their feet above the wet sand. Eva held a paper cone of chips. Aurora had turned towards her, laughing, a strip of black hair across her mouth. Aurora had forgotten the afternoon. She looked at Eva’s hand in the photograph, suspended over the chips as if she were about to offer one. “We missed your bus,” she said. “We missed two. You wouldn’t leave until the tide reached the third step.” “You bet me it wouldn’t.” “You cheated. You counted from the top.” Aurora laid the photograph on the bar. “Why did you keep this?” “It was mine.” “You know what I mean.” Eva looked at her younger face. “There weren’t many pictures of us together.” Silas came back with the empty carton. He saw the photograph, then the untouched food on the counter. “I can warm some up,” he told them. “Leave it,” Aurora said. He took the carton behind the bar. Eva watched his hand close around it, the signet ring bright against the cardboard. “He looks after you,” she said. “He rents me a flat.” “Rory.” “He does both.” Eva nodded. She pressed her fingertips against the folded newspaper as though to keep it flat. Aurora slipped the photograph into its envelope, then stopped before sealing it. “After I got here, you kept ringing to ask if I was safe. Every time I heard my phone, I thought something had happened. I couldn’t bear another call about him.” “I should have told you why he’d rung me.” “Yes.” “I thought if you knew he was still asking, you’d go back to Cardiff and sort it out yourself.” “I might have.” “That frightened me.” Aurora looked at her. Eva’s glass stood between two wet rings on the counter. She had drunk less than half. “I thought you were angry because I didn’t come to stay with you,” Aurora said. “I was. For about an hour.” Eva pulled the loose thread from her cuff and wound it round a finger. “Then I went to the station to see if I could catch you before the train left. I got there after it had gone.” “You never told me.” “You were calling from that room. You had the window open, and I could hear a bus outside. I didn’t want to talk about the station while you were telling me what the room looked like.” “The room was awful.” “You said the ceiling sloped.” “It did. I hit my head getting out of bed.” “You didn’t tell me that part.” “No.” Eva let the thread fall. Aurora put the envelope beside her glass. For a moment neither reached for it. Silas returned with two clean forks and placed them on the counter, close enough for either woman to take. He didn’t linger. Eva picked up a fork. “Is there still a good reason he ordered enough food for a wedding?” Aurora opened the nearest carton. Steam rose between them, carrying ginger and hot oil into the stale warmth of the bar. “He does this when he forgets lunch,” she said. She pushed the carton towards Eva. “Take some before he insists we eat all of it.” Eva set her newspaper aside and drew the plate nearer.
created_at"2026-09-23T16:35:04.705Z" 9/23/2026, 4:35:04 PM
model"openai/gpt-6-sol-20260922"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2181
moderation_latency(null)
generation_time48174
tokens_prompt1063
tokens_completion3211
native_tokens_prompt982
native_tokens_completion2615
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"
usage0.028114
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790181304-xbL73spTcA6pN7HvuqSa"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790181304-FysxrYicTehUqeAHKVb3"
upstream_id"resp_0af48e4e7bc8c12f016ab3ffb8ce9887d1a3e721812740ab7b"
provider_responses
0
endpoint_id"1cfc7d9d-4404-4b8e-9ee4-58ae45c9dcd4"
id"resp_0af48e4e7bc8c12f016ab3ffb8ce9887d1a3e721812740ab7b"
is_byokfalse
latency511
model_permaslug"openai/gpt-6-sol-20260922"
provider_name"OpenAI"
status200
total_cost0.028114
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags25
adverbTagCount0
adverbTags(empty)
dialogueSentences128
tagDensity0.195
leniency0.391
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount2115
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)
97.64% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount2115
totalAiIsms1
found
0
word"warmth"
count1
highlights
0"warmth"
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
narrationSentences133
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences133
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences236
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen36
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords2115
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions42
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions113
wordCount1293
uniqueNames12
maxNameDensity3.48
worstName"Aurora"
maxWindowNameDensity6
worstWindowName"Eva"
discoveredNames
Raven1
Nest2
Silas11
Eva44
Aurora45
London1
Cardiff2
Carter2
Christmas2
Eve1
Swansea1
Jennifer1
persons
0"Nest"
1"Silas"
2"Eva"
3"Aurora"
4"Jennifer"
places
0"Raven"
1"London"
2"Cardiff"
3"Swansea"
globalScore0
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences97
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount2115
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences236
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs147
mean14.39
std17.19
cv1.195
sampleLengths
065
17
27
38
46
534
612
72
872
96
106
112
126
1354
147
1573
161
179
1811
196
2012
213
228
239
244
2511
2627
279
2815
2914
304
3111
325
3317
349
353
367
377
382
3925
409
4119
4276
4310
444
452
461
474
483
4912
97.35% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences133
matches
0"were gone"
1"been covered"
2"been opened"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs219
matches
0"was pulling"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount1
flaggedSentences1
totalSentences236
ratio0.004
matches
0"She lived upstairs; the coat hook had become hers through use rather than invitation."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1295
adjectiveStacks0
stackExamples(empty)
adverbCount21
adverbRatio0.016216216216216217
lyAdverbCount2
lyAdverbRatio0.0015444015444015444
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences236
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences236
mean8.96
std6.31
cv0.704
sampleLengths
010
125
214
316
47
56
61
78
86
917
1017
116
126
132
147
1512
1614
1710
1812
1917
204
212
226
232
246
259
269
2718
2818
297
309
3111
3216
3311
3426
351
368
371
387
394
406
4112
423
438
449
454
468
473
488
499
41.53% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats20
diversityRatio0.23728813559322035
totalSentences236
uniqueOpeners56
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences119
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount25
totalSentences119
matches
0"He stood behind the counter"
1"He set the bag on"
2"She lived upstairs; the coat"
3"Her hair had been cut"
4"She wore a dark jacket"
5"He crossed to the cupboard"
6"His left leg dragged a"
7"She could remember the cheap"
8"She had thrown it out"
9"She didn’t sound angry, which"
10"His grey-streaked head nearly touched"
11"He gave them the privacy"
12"They had never spoken about"
13"She tapped the back of"
14"She turned the newspaper face"
15"He was pulling a pint,"
16"It had been opened and"
17"She looked at Eva’s hand"
18"He saw the photograph, then"
19"he told them"
ratio0.21
14.62% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount106
totalSentences119
matches
0"The green neon sign gave"
1"Aurora saw it reflected in"
2"The pale rectangle it left"
3"Silas glanced at the bare"
4"He stood behind the counter"
5"The silver signet ring on"
6"Aurora told him"
7"He set the bag on"
8"Aurora slipped off her damp"
9"She lived upstairs; the coat"
10"The Nest smelled of beer,"
11"A woman in a red"
12"Silas unpacked the cartons."
13"The woman in the red"
14"Aurora knew the movement before"
15"The careful fold at the"
16"Eva looked at her across"
17"Her hair had been cut"
18"A narrow line of white"
19"Aurora remembered long brown plaits"
ratio0.891
42.02% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences119
matches
0"By the time Aurora arrived,"
ratio0.008
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences53
technicalSentenceCount1
matches
0"She pressed her fingertips against the folded newspaper as though to keep it flat."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags25
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags18
fancyCount0
fancyTags(empty)
dialogueSentences128
tagDensity0.141
leniency0.281
rawRatio0
effectiveRatio0
86.4383%