Run: 2026-09-23-01M37J38MQYTD5SEANC567RMMS

Run Details

Duration:
1m 1s
Cost:
$0.032924
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
Aurora came down to the bar with a paper bag from the Golden Empress hooked over her wrist. The handles had cut a pink line across the small crescent scar there. She lifted the bag onto the counter, pushed two cartons towards Silas and kept the third. “Yu-Fei sent enough for a wedding.” Silas looked inside. “Does she know about the wedding?” “She’d have charged more.” He took a fork from beneath the counter. Rain struck the front window in narrow, crooked lines, breaking the green light of the Raven’s Nest sign across the glass. Aurora had just opened her carton when the woman at the far end of the bar turned on her stool. “Rory Carter.” Aurora knew the voice before she placed the face. It had once filled the back row of a lecture theatre in Cardiff, demanding an answer from a visiting barrister who had planned to take no questions. “Nia?” Nia Hughes stood. Her hair, once long and dark enough to leave on every sofa she visited, stopped an inch above her ears. She wore a charcoal suit with a torn lining at one cuff and held a glass of water between both hands. Aurora remembered her with a rucksack full of loose papers, red ink on her fingers, and a coat she refused to replace because its pockets held everything. “I walked past that sign three times,” Nia told her. “I kept thinking I’d been in here before. Then you came through the door.” “You haven’t been in here before.” “There you go. Mystery solved.” They hugged. Nia’s glass pressed cold against Aurora’s back. When they parted, Aurora saw Nia look at her wrist, then at the carton. “You still eat standing up.” “I live upstairs.” “That’s worse.” Silas set a clean fork beside Aurora’s carton. His silver ring clicked against the counter. “Friend of yours?” “From Cardiff. Nia, this is Silas. Silas, Nia.” “I’ve heard your name,” Silas told Nia. “Once or twice.” Nia raised her eyebrows at Aurora. “Good once or twice?” “He has a poor memory.” Silas took the bag of food to the other end of the bar. Aurora pulled out the stool beside Nia and sat. On the wall behind them, an old map of London showed streets cut through by later roads. Nia turned her glass until a wet circle formed beneath it. “I thought you’d gone back to Cardiff,” Nia told her. “Why?” “Your father. The course. You left a lot of things there.” “I stayed in London.” “I can see that.” Aurora broke apart her noodles with the fork. Nia watched her for a moment, then took a folded document from her jacket and tucked it beneath her glass. Its top edge bore a company logo Aurora recognised from the hoardings around a building site near the restaurant. “You work for Bellwether?” Nia glanced at the paper. “Since last year.” “They’ve been putting up flats round the corner. One of our delivery drivers got a notice from them.” “They bought his building?” “They bought his landlord.” Nia ran a thumb over the rim of the glass. “I’m in the legal team.” “At Bellwether.” “Yes.” Aurora found a strip of cabbage and laid it across the lid. In their second year, Nia had spent three cold afternoons outside a council office protesting the sale of student rooms to a private company. She had made Aurora hold one end of a banner while the wind drove rain through its cardboard letters. Afterwards they had dried their socks on Nia’s radiator and argued over whether the banner should have named the company’s directors. “You used to have a list of landlords you wanted prosecuted.” “I still have it.” “How many do you work for?” “Three, if you count the subsidiaries.” Nia took a drink. Aurora looked at her cuff again, at the small tear in the lining. It caught on the edge of the document when Nia pushed it farther under the glass. “I didn’t know you’d moved to London,” Aurora told her. “I sent you my address when I did.” “Where?” “Email. The old university one. Then the Gmail you used for everything else.” Nia bent the corner of a beer mat, flattened it and bent it again. “You never answered.” “I stopped reading it.” “I gathered that. After a while.” At the far end, Silas turned the volume down on the radio. A trumpet receded into the clink of glasses from a table by the door. “I should have called you,” Aurora told her. “You could have.” Nia left the beer mat alone. Aurora ate a mouthful of noodles she couldn’t taste. Across the bar, a black-and-white photograph showed three men outside a theatre that no longer stood. She had dusted that frame last week and found a layer of soot along its top edge. “Evan had your number,” Nia told her. “I asked him to give you mine when I changed it.” Aurora set down her fork. “He told me you’d lost your phone.” “I did. For two days.” “This was after you missed exams.” “I know when it was.” Nia lifted her hands from the bar. “All right.” Silas came past with a tray of empty glasses. Aurora shifted her knees to let him through. His bad leg made him turn sideways in the narrow space, but he kept the tray level. Once he’d gone, Nia picked up the beer mat and read the brewery’s name as though she had never seen one. “I went to your flat,” she told Aurora. “He opened the door.” Aurora looked at her. “He told me you were asleep. It was four in the afternoon. I knew you’d been missing seminars, and I let him send me away.” “I wasn’t asleep.” Nia held the beer mat by its bent edge. “I know.” For a while the two women listened to the rain. A couple came in, shook out an umbrella and took the table beneath the photograph. Aurora remembered the flat in Cardiff: a saucepan with a loose handle, a bedroom window painted shut, Evan’s shoes placed straight across the front door after an argument. Nia had stood on that doorstep. Aurora could picture the patch of peeling paint beside the bell, but not the day itself. “I got your messages later,” Aurora told her. “Eva helped me set up a new account. The old ones came through all at once.” “I wrote some stupid things.” “You asked whether I wanted you to collect my books.” “That wasn’t one of the stupid ones.” “You wrote that I could have them sent to your place. You said you’d pay.” Nia drew her glass off the damp paper. “Did you want them?” “At the time? I couldn’t decide which shoes to pack.” Aurora picked up her fork, then put it down. Nia’s mouth tightened, not in surprise. She had read those messages again, Aurora thought; she knew what order they had come in. Silas arrived with a fresh glass of water and placed it beside Nia’s hand. “Kitchen’s closed,” he told them, nodding at the cartons. “But I have crisps.” “We’re all right,” Aurora told him. He moved off towards the couple with the umbrella. Nia watched him go. “Is he your landlord?” “Yes. And my friend.” “You’ve got a place above a bar.” “It has a window that opens.” “That sounds pointed.” “It was meant to.” Nia gave a brief smile and looked down into the new glass. “I left Cardiff too. Six months after you. I told everyone I’d got the Bellwether job because I wanted to learn how they operated.” “And then?” “I learnt.” She turned towards Aurora. “There’s a woman in Walthamstow who wrote me a four-page letter about her mother’s stairlift. I know what the surveyor missed. I know what our letter to her can say without admitting we missed it. I wrote the letter we sent.” “What did it say?” “That we’d review the access arrangements.” “Will you?” “I’ve booked the surveyor to go back.” “And the letter?” “It went out yesterday.” Aurora pushed the cabbage back into her carton. Nia had once spent an hour arguing with a landlord over a broken heater in a house neither of them lived in. She’d put the call on speaker so Aurora could hear each excuse, then written down the name of every person he transferred her to. “You can go and see the woman,” Aurora told her. “I could.” Nia took the document from beneath her glass. Its damp corner clung to the bar for a moment before it came free. She folded it along an existing crease, careful not to tear the softened paper. “What happened to the course?” she asked. “I left.” “Your dad must have loved that.” “He posted me an application form the following autumn.” “For Cardiff?” “For three different places. He wrote the deadlines on a separate sheet.” “Did you apply?” “No.” Nia looked at the signet ring on Silas’s hand as he reached for a bottle behind the bar, then back at Aurora. “You were good at it.” “I was good at the reading.” “You were good at telling people when they’d changed the subject.” Aurora leaned on the counter. “I still do that.” “I remember.” Nia touched the tear in her cuff and pulled her hand away before it caught. “I’m glad you’re here, Rory. I’d rather have heard it from you years ago, but I’m glad I know now.” “I’m sorry I left you guessing.” Nia nodded. She drew the wet glass towards her and took a drink. Aurora picked up her fork. The noodles had begun to stick together, and she separated them against the side of the carton while Nia unfolded her document and found a dry place to set it.
created_at"2026-09-23T16:38:03.166Z" 9/23/2026, 4:38:03 PM
model"openai/gpt-6-sol-20260922"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency21633
moderation_latency(null)
generation_time60835
tokens_prompt1063
tokens_completion2494
native_tokens_prompt982
native_tokens_completion3096
native_tokens_completion_images0
native_tokens_reasoning1034
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"
usage0.032924
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790181483-VdZJnhevemM0C7B3yJA4"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790181483-afiigreV3l9XL9PBc2nN"
upstream_id"resp_00245a5c3ad96655016ab4006b465487d1bf2b35f44871d0bb"
provider_responses
0
endpoint_id"1cfc7d9d-4404-4b8e-9ee4-58ae45c9dcd4"
id"resp_00245a5c3ad96655016ab4006b465487d1bf2b35f44871d0bb"
is_byokfalse
latency1273
model_permaslug"openai/gpt-6-sol-20260922"
provider_name"OpenAI"
status200
total_cost0.032924
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
totalTags15
adverbTagCount0
adverbTags(empty)
dialogueSentences100
tagDensity0.15
leniency0.3
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1634
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)
96.94% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1634
totalAiIsms1
found
0
word"charged"
count1
highlights
0"charged"
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
narrationSentences89
matches
0"t in surprise"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences89
filterMatches
0"look"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences174
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen42
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1634
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions24
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions86
wordCount1015
uniqueNames11
maxNameDensity3.35
worstName"Aurora"
maxWindowNameDensity6
worstWindowName"Nia"
discoveredNames
Golden1
Empress1
Silas9
Raven1
Nest1
Cardiff2
Hughes1
Aurora34
Nia34
London1
Evan1
persons
0"Empress"
1"Silas"
2"Raven"
3"Hughes"
4"Aurora"
5"Nia"
6"Evan"
places
0"Golden"
1"Cardiff"
2"London"
globalScore0
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences66
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1634
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences174
matches
0"dusted that frame"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs112
mean14.59
std17.09
cv1.171
sampleLengths
047
16
29
34
449
52
636
71
871
924
106
115
1223
135
143
152
1615
173
188
1910
2010
215
2250
2310
241
2511
264
274
2847
294
308
3118
324
334
3415
352
361
3776
3811
394
406
416
4233
4310
448
451
4630
474
486
4926
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences89
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs166
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount1
flaggedSentences1
totalSentences174
ratio0.006
matches
0"She had read those messages again, Aurora thought; she knew what order they had come in."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1017
adjectiveStacks0
stackExamples(empty)
adverbCount21
adverbRatio0.02064896755162242
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences174
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences174
mean9.39
std7.04
cv0.75
sampleLengths
018
113
216
36
43
56
64
78
821
920
102
119
1227
131
143
1520
1621
1727
1810
1914
206
215
222
237
2414
255
263
272
288
297
303
318
327
333
346
354
365
3713
389
3917
4011
4110
421
4311
444
454
468
4720
4819
494
43.68% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats11
diversityRatio0.2988505747126437
totalSentences174
uniqueOpeners52
77.52% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences86
matches
0"Afterwards they had dried their"
1"Once he’d gone, Nia picked"
ratio0.023
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount20
totalSentences86
matches
0"She lifted the bag onto"
1"He took a fork from"
2"It had once filled the"
3"Her hair, once long and"
4"She wore a charcoal suit"
5"His silver ring clicked against"
6"Its top edge bore a"
7"She had made Aurora hold"
8"It caught on the edge"
9"She had dusted that frame"
10"His bad leg made him"
11"she told Aurora"
12"She had read those messages"
13"he told them, nodding at"
14"He moved off towards the"
15"She turned towards Aurora"
16"She’d put the call on"
17"Its damp corner clung to"
18"She folded it along an"
19"She drew the wet glass"
ratio0.233
6.51% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount78
totalSentences86
matches
0"Aurora came down to the"
1"The handles had cut a"
2"She lifted the bag onto"
3"Silas looked inside."
4"He took a fork from"
5"Rain struck the front window"
6"Aurora had just opened her"
7"Aurora knew the voice before"
8"It had once filled the"
9"Nia Hughes stood."
10"Her hair, once long and"
11"She wore a charcoal suit"
12"Aurora remembered her with a"
13"Nia told her"
14"Nia’s glass pressed cold against"
15"Silas set a clean fork"
16"His silver ring clicked against"
17"Silas told Nia"
18"Nia raised her eyebrows at"
19"Silas took the bag of"
ratio0.907
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences86
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences42
technicalSentenceCount1
matches
0"It had once filled the back row of a lecture theatre in Cardiff, demanding an answer from a visiting barrister who had planned to take no questions."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags15
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags12
fancyCount0
fancyTags(empty)
dialogueSentences100
tagDensity0.12
leniency0.24
rawRatio0
effectiveRatio0
87.4883%