Run: 2026-05-31-01KSYXB98YEF5N8R3J67V9K34H

Run Details

Duration:
40.0s
Cost:
$0.062865
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 sickly wash across the wet pavement, and Rory almost walked past the door before she recognised the name. The Raven's Nest. She'd heard about it from someone at the restaurant, a place where the drinks came strong and nobody asked your business. That suited her fine tonight. She pushed inside and the warmth hit her, along with the low murmur of voices and the smell of old wood and spilled whisky. Maps on the walls. Photographs gone grey with age. She unzipped her jacket and made for the bar, then stopped. A woman sat on the third stool, hunched over a glass of something amber, and even from behind Rory knew the set of those shoulders. "Eva?" The woman turned. For a moment her face stayed blank, the practised blankness of someone who'd learned not to react too fast. Then it cracked. "Christ. Rory." They looked at each other across the gap of seven years. Eva had cut her hair short, the long brown waves Rory remembered shorn to something severe and businesslike. There were lines now at the corners of her mouth that hadn't been there in Cardiff. She wore a coat that cost more than Rory made in a month. "You look—" Rory started. "Don't." Eva laughed, but it came out thin. "I look knackered. Sit down before you say something we both have to pretend to mean." Rory took the stool beside her. The bartender, a tall older man with grey streaking his auburn hair, glanced over with quiet attention and then went back to polishing a glass, giving them room. "Same as her," Rory told him, nodding at Eva's drink. "You drink whisky now," said Eva. "When did that happen?" "Around the time everything else did." Eva turned her glass in slow circles on the bar. "I wrote to you. After London. You never wrote back." "I know." "You just dropped off. I told you to come, I sorted you a place to land, and then—nothing. Eva, you bloody saved my life, and then you ghosted me." She said it lightly, but the hurt underneath was old and worn smooth, the way a stone got smooth after years of water running over it. The drink arrived. Rory wrapped her hand around it. The crescent scar on her wrist caught the low light. "It wasn't about you," she said. "After Evan, I couldn't—I didn't want anyone who knew the old me. Anyone who'd look at me and still see the girl who let him do all that. You knew too much. It was easier to start clean." "Easier." Eva tasted the word like it had gone off. "You think it was easier for me, not knowing if you were alive? I rang the restaurant once. Some old woman answered, told me there was no Aurora working there, and hung up." "That'd be Yu-Fei. She vets everyone." Rory almost smiled. "I go by different names sometimes. Habit." "Different names." Eva shook her head. "Listen to you. You used to lose your mind if a lecturer spelled your surname wrong. Carter with an e, two minutes of indignation. Now you've got a stable of aliases." "People change." "Do they?" Eva drank. "Or do they just get better at hiding what didn't?" Rory let that sit. Outside, a bus hissed past, its lights smearing across the rain-streaked window. The bartender moved to the far end, suddenly very interested in the optics. "You changed," Rory said. "More than me. Last I saw you, you were doing your master's and living on instant noodles and righteous anger. What happened?" Eva's mouth tightened. "I grew up. I got a job. A good one. The anger doesn't pay rent, it turns out." "What's the job?" "Consultancy." She said it the way people said things they'd practised. "Risk assessment. Boring. Lucrative." "You hated lucrative. You used to give me a lecture about ethical employment every time I bought trainers." "And you used to think you'd be a barrister like your dad and hate every minute, and look at us." Eva spread her hands. "You're delivering noodles under a false name and I'm a sellout. We turned out exactly nothing like we planned." There it was, the thing they'd both been circling. Rory looked at her friend's face and saw, underneath the expensive haircut and the careful coat, the girl who'd driven through the night to pull her out of a flat in Cardiff with a black eye and no shoes. Who'd let her sleep on a sofa for three months and never once asked her to be grateful. "I never thanked you," Rory said. "Properly. For any of it." Eva went still. "No. You didn't." "I'm thanking you now. For whatever that's worth this late." "It's worth—" Eva stopped. Her eyes had gone bright and she blinked hard, looking away, towards the photographs on the wall as if they might offer something. "It's worth a lot. And nothing. Both. You can't bank a thank-you seven years late, Rory. It doesn't accrue interest." "I know." "You left a hole. That's the bit nobody tells you. When someone you love just walks out clean, they take a piece, and you carry the gap around for years and you stop telling people about it because it makes you sound mad." She wiped her cheek with the back of her hand, quick, business-like. "I built a whole life around being someone who doesn't get left. You'd be amazed how much of who you are gets built on one bad thing." Rory thought of Evan. Of the version of herself that had loved him, defended him, made herself small enough to fit the box he kept her in. Of how every name she'd taken since had been a way of stepping further from that girl. "I do know," she said. "Actually." Eva looked at her then, really looked, and something passed between them, recognition, the kind you couldn't fake or earn back, just stumble into. "You been all right?" Eva asked. Quieter now. "Genuinely." "Some days." Rory turned her glass. "Some days I'm all right. Most days I'm just careful." "Careful." Eva nodded slowly. "Yeah. That's the one. We got careful." They drank in silence. The bartender, returning to wipe down the counter near them, set down a small dish of olives neither had ordered, and withdrew without a word, as though he understood the precise weight of what was happening and wanted only to keep it from collapsing. "I should've written back," Rory said. "Yeah. You should've." Eva turned to her, and for the first time the thin laugh became something real, something with warmth buried in it. "But you're here now. And I'm here. And I haven't got the faintest idea what to do with that." "Neither have I." "Good." Eva lifted her glass. "At least we're matched."
created_at"2026-05-31T11:40:13.996Z" 5/31/2026, 11:40:13 AM
model"anthropic/claude-4.8-opus-20260528"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1087
moderation_latency(null)
generation_time39930
tokens_prompt1094
tokens_completion1679
native_tokens_prompt1548
native_tokens_completion2205
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"
usage0.062865
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provider_responses
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is_byokfalse
latency1087
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-1780227614-3IxjbPtWaKExoFsQyg8J"
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api_type"completions"
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upstream_id"msg_01EBB87QnmXH1WVBhBWX2wMq"
total_cost0.062865
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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
totalTags21
adverbTagCount1
adverbTags
0"Eva nodded slowly [slowly]"
dialogueSentences55
tagDensity0.382
leniency0.764
rawRatio0.048
effectiveRatio0.036
78.24% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1149
totalAiIsmAdverbs5
found
0
adverb"lightly"
count1
1
adverb"suddenly"
count1
2
adverb"very"
count1
3
adverb"really"
count1
4
adverb"slowly"
count1
highlights
0"lightly"
1"suddenly"
2"very"
3"really"
4"slowly"
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)
82.59% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1149
totalAiIsms4
found
0
word"warmth"
count2
1
word"silence"
count1
2
word"weight"
count1
highlights
0"warmth"
1"silence"
2"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
emotionTells1
narrationSentences61
matches
0"g with warmth"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences61
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences93
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen56
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1147
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions14
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions39
wordCount645
uniqueNames7
maxNameDensity2.64
worstName"Eva"
maxWindowNameDensity5
worstWindowName"Eva"
discoveredNames
Rory16
Raven1
Nest1
Cardiff2
Eva17
Evan1
Quieter1
persons
0"Rory"
1"Raven"
2"Eva"
3"Evan"
places
0"Cardiff"
globalScore0.182
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences32
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1147
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences93
matches
0"let that sit"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs48
mean23.9
std19.71
cv0.825
sampleLengths
054
144
225
31
425
52
658
74
824
934
1010
1110
126
1320
142
1555
1619
1744
1843
1916
2037
212
2214
2329
2426
2521
263
2715
2818
2943
3066
3111
326
3310
3447
352
3682
3744
386
3924
409
4116
4211
4348
446
4543
463
479
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences61
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs123
matches
0"was happening"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences93
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount646
adjectiveStacks0
stackExamples(empty)
adverbCount21
adverbRatio0.032507739938080496
lyAdverbCount6
lyAdverbRatio0.009287925696594427
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences93
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences93
mean12.33
std11.47
cv0.93
sampleLengths
025
13
221
35
424
54
65
711
825
91
103
1119
123
132
1411
1518
1616
1713
184
198
2016
216
2228
2310
246
254
266
2710
2810
292
3055
313
326
3310
346
3538
3610
3733
389
397
406
4131
422
434
4410
454
4612
4713
484
4922
81.72% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.5161290322580645
totalSentences93
uniqueOpeners48
66.67% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences50
matches
0"Then it cracked."
ratio0.02
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount10
totalSentences50
matches
0"She'd heard about it from"
1"She pushed inside and the"
2"She unzipped her jacket and"
3"They looked at each other"
4"She wore a coat that"
5"She said it lightly, but"
6"She said it the way"
7"Her eyes had gone bright"
8"She wiped her cheek with"
9"They drank in silence."
ratio0.2
40.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount42
totalSentences50
matches
0"The green neon buzzed overhead,"
1"The Raven's Nest."
2"She'd heard about it from"
3"That suited her fine tonight."
4"She pushed inside and the"
5"Maps on the walls."
6"Photographs gone grey with age."
7"She unzipped her jacket and"
8"A woman sat on the"
9"The woman turned."
10"They looked at each other"
11"Eva had cut her hair"
12"She wore a coat that"
13"Eva laughed, but it came"
14"Rory took the stool beside"
15"The bartender, a tall older"
16"Rory told him, nodding at"
17"Eva turned her glass in"
18"She said it lightly, but"
19"The drink arrived."
ratio0.84
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences50
matches(empty)
ratio0
77.92% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences22
technicalSentenceCount2
matches
0"Rory looked at her friend's face and saw, underneath the expensive haircut and the careful coat, the girl who'd driven through the night to pull her out of a fl…"
1"The bartender, returning to wipe down the counter near them, set down a small dish of olives neither had ordered, and withdrew without a word, as though he unde…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags21
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags10
fancyCount1
fancyTags
0"Eva laughed (laugh)"
dialogueSentences55
tagDensity0.182
leniency0.364
rawRatio0.1
effectiveRatio0.036
87.5715%