Run: 2026-05-29-01KSSJZ63T4K3M697KC9QQHQ25

Run Details

Duration:
43.1s
Cost:
$0.062590
Provider:
Anthropic

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 buzzed over the door of The Raven's Nest, throwing a sickly wash across the wet pavement. Aurora shouldered through it, rain dripping from the hem of her coat, and made for the bar before she'd properly looked at the room. "Whiskey. Whatever's open." Silas set down the glass he'd been polishing. He didn't pour straight away. He looked at her with the kind of stillness she'd forgotten existed in people, the stillness of someone who measured before he moved. "You look like you swam here." "Cardiff weather followed me up the M4." She peeled off her gloves. "Did you hear me? Whiskey." He poured. Slid it across the wood. And then, instead of stepping away to the till like a normal barman, he leaned both forearms on the bar and tilted his head. "Rory Carter." The glass stopped halfway to her mouth. "It's the wrist," he said. "That little scar. You used to pick at it when you were nervous. Drove your mother spare." Now she looked. Properly. The grey threaded through the auburn, the beard that hadn't been there before, the way he held his weight off his left leg. Twelve years sanded the edges off a face, but the eyes were the same. Hazel and patient and impossible to lie to. "Uncle Si." "Not your uncle. Never your uncle. Your father just couldn't think what else to make you call me." She set the glass down. Her hand wasn't quite steady, and she hated that he'd see it. "Dad said you'd vanished. After Prague. He said there'd been some trouble and that asking about it was a good way to get a door shut in your face." "Your father was always a sharp judge of doors." Silas straightened, and the limp announced itself in the small shift of his hips. "He still arguing other men's cases in front of Welsh juries?" "Retired. Two years ago. His heart." She watched the words land. "He's alright. Slower. He grows tomatoes now and complains about them." "Brendan Carter. Tomatoes." A breath that might have been a laugh. "There's a sentence I'd have bet against." The bar was near empty. A man in the corner nursed a pint and a newspaper from another era, and somewhere behind a wall a pipe knocked. The photographs watched them, all those black-and-white strangers caught mid-laugh, mid-glance, frozen before they knew what they'd become. "You used to come for Sunday lunch," Aurora said. "You'd bring those terrible sweets. The aniseed ones." "They weren't terrible. You had no palate." "I was eight." "Still." He poured himself a measure now, which surprised her, and held it without drinking. "You were the one who hid under the table with a torch and a book while the adults talked themselves hoarse. Always reading something three years too old for you." "And you were the one who slipped me extra pudding when Mum wasn't looking." She turned the glass in a slow circle. "Then you stopped coming. I asked about it for a while. Then I stopped asking." "That's how it works." He finally drank. "You stop asking. The not-asking becomes a habit. The habit becomes the truth." She studied him. The man she remembered had laughed loudly and badly at his own jokes, had filled a room without trying. This one filled the room a different way—by occupying as little of it as possible and somehow being unmissable for it. "You changed," she said. "I got old." "No." She shook her head. "Dad got old. You got—" She searched for it. "Careful. You used to be the loud one." Something moved across his face and was gone, fast as a fish under ice. "Prague taught me the value of quiet." "What happened in Prague?" "A door shut." He wiped a ring of water off the bar with his thumb. "And here you are, asking again. Twelve years on. The Carter persistence." She let it go, because she recognised the gesture, the closing of it. She'd done the same thing herself often enough this last year, turning a question aside like it was a glass she didn't want refilled. "I live upstairs," she said instead. He went very still. "The flat above this bar." "The flat above this bar. I answered an advert. I deliver food for a Chinese place three streets over, and the rent was reasonable, and the man who showed me the room kept to the shadows and didn't ask why a girl my age was paying cash." She heard her own voice harden. "That was you. You knew." "I knew." "You've known for two months and you let me think—" "I let you settle." He set his glass down with great care. "You came in here the first week looking over your shoulder every thirty seconds. A woman doesn't move to a city where she knows no one and pay cash and flinch at the door unless she's running from something with a name." Aurora's jaw tightened. The name had a shape. Evan. She didn't say it. She wondered how much of it sat already behind those patient eyes, how much a man like this could read off the way she stood. "You could have said something," she said. "Said hello. Said, I knew your father, I bounced you on my knee, you're safe here." "Would you have stayed, if I had? Or would you have run again, because the past had followed you up the M4 along with the rain?" He waited, and she had no answer, because he was right and they both knew the size of it. "I let you have the flat because it's the safest in Soho. There's only one stair, and I see it from where I'm standing now. I gave you quiet, Rory. It's the only thing I had worth giving." The man in the corner folded his paper and left coins on his table and went out into the rain, and the door's neon flared and faded across his back. Aurora looked at the photographs again. All those frozen people. She wondered if any of them had known, in the moment the shutter clicked, that they were already becoming someone they'd never meant to be. "Mum asks about you sometimes," she said, quieter now. "She kept your chair. At the table. She never said why." His thumb stopped moving on the wood. "Jennifer," he said, and for the first time the careful thing in him cracked, just slightly, just enough. "She kept the chair." "Twelve years." "That's a long time to keep a chair for a man who couldn't be bothered to phone." "It wasn't couldn't," Aurora said. She didn't know why she defended him. Maybe because she knew the shape of couldn't too. "It was something else. It always is." He poured her another without being asked, and this time he didn't slide it. He set it down gently, square in front of her, the way you'd place something you wanted to last. "Drink that," he said. "And then go up, and lock your door, and sleep. We've got twelve years to get through. No sense doing it all in the rain."
created_at"2026-05-29T10:02:39.622Z" 5/29/2026, 10:02:39 AM
model"anthropic/claude-4.8-opus-20260528"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1645
moderation_latency(null)
generation_time43076
tokens_prompt1094
tokens_completion1724
native_tokens_prompt1548
native_tokens_completion2194
native_tokens_completion_images(null)
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"end_turn"
service_tier"default"
usage0.06259
router(null)
provider_responses
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endpoint_id"b0d3beaa-5ff7-4666-a749-b1bb2b14c916"
id"msg_01Xeasy1a8qCDxA7KLW9QHiX"
is_byokfalse
latency1645
model_permaslug"anthropic/claude-4.8-opus-20260528"
provider_name"Anthropic"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.16.0; linux; x64))"
http_referer(null)
request_id"req-1780048959-fm0eUg0uvEC0jU6d6far"
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api_type"completions"
id"gen-1780048959-tS4mghIZmzNk7X2nblUy"
upstream_id"msg_01Xeasy1a8qCDxA7KLW9QHiX"
total_cost0.06259
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provider_name"Anthropic"
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Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags20
adverbTagCount1
adverbTags
0"she said instead [instead]"
dialogueSentences57
tagDensity0.351
leniency0.702
rawRatio0.05
effectiveRatio0.035
87.48% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1198
totalAiIsmAdverbs3
found
0
adverb"very"
count1
1
adverb"slightly"
count1
2
adverb"gently"
count1
highlights
0"very"
1"slightly"
2"gently"
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)
91.65% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1198
totalAiIsms2
found
0
word"measured"
count1
1
word"weight"
count1
highlights
0"measured"
1"weight"
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
narrationSentences62
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences62
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences97
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen53
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1197
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions20
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions7
wordCount631
uniqueNames3
maxNameDensity0.79
worstName"Aurora"
maxWindowNameDensity1.5
worstWindowName"Aurora"
discoveredNames
Raven1
Nest1
Aurora5
persons
0"Raven"
1"Nest"
2"Aurora"
places(empty)
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences35
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1197
matches(empty)
97.94% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount2
totalSentences97
matches
0"hated that he'd"
1"clicked, that they"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs50
mean23.94
std17.68
cv0.739
sampleLengths
043
13
236
36
417
531
62
77
822
949
102
1118
1246
1334
1422
1518
1645
1717
187
193
2045
2137
2220
2343
244
253
2622
2721
284
2927
3037
316
329
3358
342
3510
3654
3738
3823
3983
4030
4135
4220
437
4422
452
4617
4728
4833
4929
93.94% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences62
matches
0"was gone"
1"being asked"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs122
matches
0"were already becoming"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount0
flaggedSentences1
totalSentences97
ratio0.01
matches
0"This one filled the room a different way—by occupying as little of it as possible and somehow being unmissable for it."
97.85% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount636
adjectiveStacks0
stackExamples(empty)
adverbCount27
adverbRatio0.04245283018867924
lyAdverbCount8
lyAdverbRatio0.012578616352201259
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences97
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences97
mean12.34
std10.09
cv0.818
sampleLengths
019
124
23
38
45
523
66
712
85
92
105
1124
122
137
145
1517
163
171
1823
1914
208
212
2218
235
2412
2529
2623
2711
2811
2911
3011
317
325
3322
3418
359
368
377
383
3915
4030
4122
4215
437
4413
453
4619
4721
484
493
72.85% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.4742268041237113
totalSentences97
uniqueOpeners46
62.89% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences53
matches
0"Maybe because she knew the"
ratio0.019
1.13% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount29
totalSentences53
matches
0"He didn't pour straight away."
1"He looked at her with"
2"She peeled off her gloves"
3"She set the glass down."
4"Her hand wasn't quite steady,"
5"She watched the words land"
6"He poured himself a measure"
7"She turned the glass in"
8"He finally drank"
9"She studied him."
10"She shook her head"
11"She searched for it"
12"He wiped a ring of"
13"She let it go, because"
14"She'd done the same thing"
15"she said instead"
16"He went very still."
17"She heard her own voice"
18"He set his glass down"
19"She didn't say it."
ratio0.547
16.60% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount47
totalSentences53
matches
0"The green neon buzzed over"
1"Aurora shouldered through it, rain"
2"Silas set down the glass"
3"He didn't pour straight away."
4"He looked at her with"
5"She peeled off her gloves"
6"The glass stopped halfway to"
7"The grey threaded through the"
8"Hazel and patient and impossible"
9"She set the glass down."
10"Her hand wasn't quite steady,"
11"Silas straightened, and the limp"
12"She watched the words land"
13"A breath that might have"
14"The bar was near empty."
15"A man in the corner"
16"The photographs watched them, all"
17"He poured himself a measure"
18"She turned the glass in"
19"He finally drank"
ratio0.887
94.34% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences53
matches
0"Now she looked."
ratio0.019
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences19
technicalSentenceCount1
matches
0"He looked at her with the kind of stillness she'd forgotten existed in people, the stillness of someone who measured before he moved."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags20
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags9
fancyCount0
fancyTags(empty)
dialogueSentences57
tagDensity0.158
leniency0.316
rawRatio0
effectiveRatio0
90.5563%