Run: 2026-05-29-01KSSJEFX40864NDC2V6J5B3XJ

Run Details

Duration:
37.1s
Cost:
$0.056065
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 overhead, throwing a sick light across the wet pavement. Aurora pushed through the door of the Raven's Nest with two bags of takeaway containers digging red lines into her palms, ready to drop the order and climb the stairs to her flat. She'd done this run a hundred times. Silas always tipped in stories rather than coin, and she'd stopped minding years ago. The bar was half-empty, the after-work crowd thinned to a few stragglers hunched over their pints. Somebody at the far end of the counter turned at the sound of the bell above the door, and Aurora stopped where she stood. "Rory?" She knew the voice before she placed the face. The face had changed. The voice hadn't. "Eva." For a moment neither of them moved. The woman at the bar slid off her stool, and there was a hesitation in it, a half-second where she seemed to weigh whether closing the distance would be welcome. Then she crossed the room and Aurora let the bags hang at her sides while Eva folded her into an embrace that smelled of expensive perfume and cigarette smoke layered underneath. "God. Look at you. You look—" Eva pulled back, held her at arm's length. "You look knackered, actually." "Thanks. I've been delivering noodles since four." "You're a delivery girl now." Eva said it carefully, the way someone touches a bruise to find out how deep it goes. "Among other things." Aurora set the bags on the nearest table. "What are you doing here? You're meant to be in—where was it. Singapore." "Hong Kong. Then Singapore. Then back to London, six weeks ago." Eva returned to her stool and patted the one beside her. "Sit. Silas can wait two minutes for his dumplings." Behind the bar, Silas raised an eyebrow but said nothing. He poured a measure of whisky into a clean glass and slid it down the polished wood toward Aurora's seat. A small kindness. She took it. She sat. Up close, the years had done their work on both of them, but they'd done it differently. Eva had grown into something sleek and finished, her dark hair cut sharp at the jaw, a watch on her wrist that cost more than Aurora made in a season. The girl who'd once shared a tin of beans between two forks in a flat with no heating had become a woman who looked like she'd never been cold in her life. "You came to London for me," Eva said. "You remember that? When you left Cardiff. You turned up at my door at midnight with one suitcase and that ridiculous coat." "I remember the coat survived longer than the relationship." "You never told me what he did. Evan." Aurora turned the glass on the bar, watching the amber catch the light. "There wasn't much to tell that you couldn't guess." "I guessed plenty." Eva's mouth tightened. "I should have come up to Cardiff. I knew something was wrong. You'd go quiet on the phone, give one-word answers, and I told myself you were busy with your law books. I told myself a lot of things back then." "You were eighteen. So was I. Neither of us knew anything." "That's generous." "It's true." They sat with that for a moment. The bar hummed around them, low conversation and the clink of glass, the radio behind Silas murmuring a football result no one cared about. "I tried to find you," Eva said. "Two years ago. I had money by then, time, all of it. I went to the old flat. New tenants. The landlord said you'd moved on and didn't leave a forwarding address." She laughed, but there was no warmth in it. "You vanished. From me as well as him." "I didn't mean it like that." "No. People never do." Eva lifted her own glass and drank. "I built a whole life thinking I'd left my best friend behind in a city I couldn't get back to. And here you are. Pouring soy sauce over a bar three streets from where we used to live." Aurora felt the words land somewhere under her ribs. "You make it sound like I failed at something." "I didn't say that." "You didn't have to." She heard the edge come into her own voice and pulled it back. "Not everyone gets the promotion to Hong Kong, Eva. Some of us just kept the lights on." Eva set her glass down too hard. The whisky jumped. "Is that what you think happened? That I swanned off into a brilliant career while you suffered nobly back home?" "I don't think anything. I genuinely don't know what happened to you. That's rather the point." The silence after that had weight to it. Silas drifted to the other end of the bar, suddenly very interested in wiping a spotless glass. "I married him," Eva said. "The man who got me the Hong Kong job. Three years. I left him last spring. He never hit me, before you ask. He just made me smaller, year by year, until I looked in the mirror and couldn't find the girl who used to share beans with you in a freezing flat." She traced the rim of her glass. "So don't think I came back to lord anything over you. I came back because I wanted to remember who I was before all of it. And the only person who knew her was gone." Aurora looked at her friend, really looked, and saw past the watch and the haircut to something familiar and frightened underneath. The recognition was its own kind of grief. "I'm sorry," Aurora said. "About him. About not being easy to find." "I'm sorry I didn't drive up that motorway." Eva's eyes were wet now, and she blinked against it, furious at herself. "Eight years, Rory. We let eight years go." "We did." "Can we get them back?" Aurora thought of all the honest answers and chose the truest one. "No. But we're sitting here." She nudged her glass against Eva's, a small dull chime. "That's not nothing." Behind the bar, Silas cleared his throat. "When you two are finished," he said, "my dumplings are getting cold."
created_at"2026-05-29T09:53:32.818Z" 5/29/2026, 9:53:32 AM
model"anthropic/claude-4.8-opus-20260528"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1359
moderation_latency(null)
generation_time36800
tokens_prompt1094
tokens_completion1478
native_tokens_prompt1548
native_tokens_completion1933
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"
usage0.056065
router(null)
provider_responses
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endpoint_id"b0d3beaa-5ff7-4666-a749-b1bb2b14c916"
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is_byokfalse
latency1359
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-1780048412-JcHDUtqookgu6IVvBoJS"
session_id(null)
api_type"completions"
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upstream_id"msg_0132KpHMNPwvsxSjgMQAUL8Q"
total_cost0.056065
cache_discount(null)
upstream_inference_cost0
provider_name"Anthropic"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags16
adverbTagCount1
adverbTags
0"Eva pulled back [back]"
dialogueSentences44
tagDensity0.364
leniency0.727
rawRatio0.063
effectiveRatio0.045
80.75% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1039
totalAiIsmAdverbs4
found
0
adverb"carefully"
count1
1
adverb"suddenly"
count1
2
adverb"very"
count1
3
adverb"really"
count1
highlights
0"carefully"
1"suddenly"
2"very"
3"really"
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)
71.13% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1039
totalAiIsms6
found
0
word"eyebrow"
count1
1
word"warmth"
count1
2
word"silence"
count1
3
word"weight"
count1
4
word"traced"
count1
5
word"familiar"
count1
highlights
0"eyebrow"
1"warmth"
2"silence"
3"weight"
4"traced"
5"familiar"
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
narrationSentences48
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences48
filterMatches(empty)
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences76
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen60
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1038
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions13
unquotedAttributions0
matches(empty)
33.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions31
wordCount560
uniqueNames5
maxNameDensity2.32
worstName"Eva"
maxWindowNameDensity4
worstWindowName"Eva"
discoveredNames
Raven1
Nest1
Aurora11
Eva13
Silas5
persons
0"Raven"
1"Aurora"
2"Eva"
3"Silas"
places(empty)
globalScore0.339
windowScore0.333
80.56% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences36
glossingSentenceCount1
matches
0"looked like she'd never been cold in her"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1038
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences76
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs39
mean26.62
std22.86
cv0.859
sampleLengths
067
140
21
316
41
568
618
77
822
924
1031
1136
1281
1330
149
158
1622
1747
1811
192
202
2131
2256
236
2449
2518
264
2734
2830
2916
3025
31100
3229
3312
3429
352
365
3730
3819
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences48
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs106
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences76
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount563
adjectiveStacks0
stackExamples(empty)
adverbCount16
adverbRatio0.028419182948490232
lyAdverbCount4
lyAdverbRatio0.007104795737122558
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences76
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences76
mean13.66
std11.29
cv0.826
sampleLengths
013
133
27
314
416
524
61
79
84
93
101
117
1230
1331
1414
154
167
1722
1811
1913
2022
219
2210
2320
243
253
262
2717
2830
2932
308
3122
329
338
3413
359
366
3741
3811
392
402
417
4224
437
4441
458
466
4711
4838
499
71.49% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.4605263157894737
totalSentences76
uniqueOpeners35
79.37% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences42
matches
0"Then she crossed the room"
ratio0.024
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount9
totalSentences42
matches
0"She'd done this run a"
1"She knew the voice before"
2"He poured a measure of"
3"She took it."
4"They sat with that for"
5"She laughed, but there was"
6"She heard the edge come"
7"She traced the rim of"
8"She nudged her glass against"
ratio0.214
19.52% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount37
totalSentences42
matches
0"The green neon buzzed overhead,"
1"Aurora pushed through the door"
2"She'd done this run a"
3"Silas always tipped in stories"
4"The bar was half-empty, the"
5"Somebody at the far end"
6"She knew the voice before"
7"The face had changed."
8"The voice hadn't."
9"The woman at the bar"
10"Eva pulled back, held her"
11"Eva said it carefully, the"
12"Aurora set the bags on"
13"Eva returned to her stool"
14"He poured a measure of"
15"A small kindness."
16"She took it."
17"Eva had grown into something"
18"The girl who'd once shared"
19"Aurora turned the glass on"
ratio0.881
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences42
matches(empty)
ratio0
58.82% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences17
technicalSentenceCount2
matches
0"Then she crossed the room and Aurora let the bags hang at her sides while Eva folded her into an embrace that smelled of expensive perfume and cigarette smoke l…"
1"Eva had grown into something sleek and finished, her dark hair cut sharp at the jaw, a watch on her wrist that cost more than Aurora made in a season."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags16
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags7
fancyCount1
fancyTags
0"She laughed (laugh)"
dialogueSentences44
tagDensity0.159
leniency0.318
rawRatio0.143
effectiveRatio0.045
86.4990%