Run: 2026-05-31-01KSYXCFZPDN0N7RR9M37JX7JK

Run Details

Duration:
36.4s
Cost:
$0.055665
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 hummed above the door of The Raven's Nest, throwing a sickly wash across the pavement where Aurora hesitated. She'd walked past this place a hundred times since moving above it, but she'd never come down on a Thursday night when the regulars thinned out and the music dropped to something low and old. Inside, the air smelled of cedar smoke and spilled whisky. She took the corner stool, the one nearest the wall of photographs, and ordered something brown she wouldn't finish. A man two seats down turned at the sound of her voice. "Rory?" She knew the voice before she placed the face. It dragged her backward through eight years, past Cardiff, past the lecture halls she'd hated, to a kitchen in a shared house where someone always burned the toast. "Daniel." The name came out flat, an artefact she'd kept in a drawer. He'd grown into himself. The boy she remembered had been all elbows and nervous laughter, the one who'd revised in the corner of every party. The man holding the half-empty pint wore a tailored coat and a watch that caught the bar light, and his hair had thinned at the temples in a way that made him look like he'd decided to stop fighting it. "God. It is you." He moved to the stool beside her without asking. "I almost didn't—you look—" "Different." "I was going to say the same." She turned her glass on its ring of condensation. "You found the place. Most people don't." "Client meeting fell through. I was wandering. Saw the sign." He laughed, and it carried the wrong weight now, too smooth, sanded down by years of meetings and motorways. "Listen to me. What are the odds." "In London? Worse than you'd think." Silas worked the far end of the bar, polishing a glass that didn't need it, his hazel eyes flicking once toward her and away. She caught the small nod. He knew her well enough by now to read a stranger's intrusion and leave it alone unless she signalled otherwise. "You went quiet," Daniel said. "After graduation. Eva said you'd moved, but nobody had a number, an address, anything. We thought—" "You thought I'd dropped off the earth." "I thought something had happened to you." He set the pint down. "Was I wrong?" The question hung there, fuller than he meant it to be. She thought of Evan, of the flat in Cardiff with the door that never quite latched, of the train she'd taken at four in the morning with one bag and Eva's voice in her ear telling her not to look back. "Something happened to everyone," she said. "We all just call it growing up." He smiled, but it didn't take. "You were going to be the best of us, you know. Top of the cohort. Professor Hale said you'd argue rings around half the silks at the Bar." "Hale said a lot of things." "He wasn't wrong about you." She drank. The whisky burned in a clean line down her chest. "What is it you do now, Daniel? The coat says something with a corner office." "Corporate. Mergers, acquisitions. Manchester, mostly, but the firm's pushing me toward the London office." He turned the watch on his wrist, a gesture she suspected he didn't notice making. "It's good. It's—it pays for the coat." "You wanted criminal defence. I remember. You used to talk about it like it was a calling." A muscle moved in his jaw. "People change what they want." "Do they? Or do they just stop saying the thing out loud?" He looked at her then, properly, and something in his face cracked open for half a second before he closed it again. "That's the Rory I remember. No mercy." "I've got mercy. I just ration it." The music shifted, a piano line wandering the room. Silas brought Daniel another pint without being asked, set it down, and faded back into the dim. Daniel watched him go. "He runs a tight ship," he said. "He does." "You come here a lot?" "I live upstairs." Daniel raised an eyebrow, the old curiosity flaring through the corporate gloss. "Above a bar. In Soho. The girl who alphabetised her case notes." "The girl who alphabetised her case notes is dead, Daniel. I sent flowers." He laughed, real this time, and for a moment the years folded and she could see the boy under the coat, the one who'd stayed up arguing the death penalty with her until three in the morning over a bottle of corner-shop red. Then it passed, the way everything did. "I should have called," he said. "When you left. I knew something was wrong. I knew there was someone—Evan, wasn't it—I knew he wasn't—" He stopped. "I told myself it wasn't my business." "It wasn't." "That's not the same as it being right." She set the glass down. The honesty in it surprised her, snagged on something she kept smooth. "No," she said. "It isn't." He turned the pint without drinking. "I've thought about it. More than I'd admit. All of us, busy not asking. You vanish and we just—carry on. Send a few texts. Tell ourselves you're fine because it's easier than finding out you're not." "You couldn't have done anything." "You don't know that." "Neither do you." She softened it, because the weight in his voice was real and she wasn't cruel, only careful. "I got out. That's the part that matters. I got out on my own terms, with help from people who showed up. You can't carry guilt for a door you weren't standing at." He was quiet a long moment. The neon buzzed faint through the window glass. "You look like you've made peace with it," he said. "I've made an arrangement." She almost smiled. "Peace is for people with nothing to defend." Daniel lifted his pint at last, and drank, and when he set it down his eyes had gone somewhere far from the bar, somewhere with a courtroom in it that had never been built.
created_at"2026-05-31T11:40:53.634Z" 5/31/2026, 11:40:53 AM
model"anthropic/claude-4.8-opus-20260528"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1397
moderation_latency(null)
generation_time36359
tokens_prompt1094
tokens_completion1488
native_tokens_prompt1548
native_tokens_completion1917
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"
usage0.055665
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provider_responses
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is_byokfalse
latency1397
model_permaslug"anthropic/claude-4.8-opus-20260528"
provider_name"Anthropic"
status200
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api_type"completions"
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total_cost0.055665
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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
totalTags13
adverbTagCount0
adverbTags(empty)
dialogueSentences49
tagDensity0.265
leniency0.531
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1018
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)
85.27% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1018
totalAiIsms3
found
0
word"weight"
count2
1
word"eyebrow"
count1
highlights
0"weight"
1"eyebrow"
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
narrationSentences47
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences47
filterMatches
0"look"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences82
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen44
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1013
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
totalMentions15
wordCount612
uniqueNames9
maxNameDensity0.82
worstName"Daniel"
maxWindowNameDensity2
worstWindowName"Daniel"
discoveredNames
Raven1
Nest1
Aurora1
Thursday1
Cardiff2
Silas2
Evan1
Eva1
Daniel5
persons
0"Raven"
1"Nest"
2"Aurora"
3"Silas"
4"Evan"
5"Eva"
6"Daniel"
places
0"Cardiff"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences33
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1013
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences82
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs49
mean20.67
std16.73
cv0.809
sampleLengths
056
129
212
31
437
513
665
717
81
97
1016
1136
126
1349
1421
157
1615
1752
1813
1934
206
215
2227
2336
2417
2511
2612
2729
287
2930
307
312
325
333
3424
3513
3650
3733
382
398
4022
4142
425
434
4453
4514
4610
4715
4834
90.33% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences47
matches
0"being asked"
1"been built"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs111
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences82
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount614
adjectiveStacks0
stackExamples(empty)
adverbCount20
adverbRatio0.03257328990228013
lyAdverbCount3
lyAdverbRatio0.004885993485342019
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences82
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences82
mean12.35
std10.23
cv0.828
sampleLengths
021
135
210
319
412
51
69
728
813
94
1021
1140
1213
134
141
157
169
177
1829
197
206
2124
225
2320
245
2516
267
2712
283
2911
3041
316
327
336
3428
356
365
372
3810
3915
4029
417
4217
436
445
4512
4622
477
487
499
61.38% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.3902439024390244
totalSentences82
uniqueOpeners32
85.47% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences39
matches
0"Then it passed, the way"
ratio0.026
4.62% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount21
totalSentences39
matches
0"She'd walked past this place"
1"She took the corner stool,"
2"She knew the voice before"
3"It dragged her backward through"
4"He'd grown into himself."
5"He moved to the stool"
6"She turned her glass on"
7"He laughed, and it carried"
8"She caught the small nod."
9"He knew her well enough"
10"He set the pint down"
11"She thought of Evan, of"
12"He smiled, but it didn't"
13"He turned the watch on"
14"He looked at her then,"
15"He laughed, real this time,"
16"She set the glass down."
17"He turned the pint without"
18"She softened it, because the"
19"He was quiet a long"
ratio0.538
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount37
totalSentences39
matches
0"The green neon hummed above"
1"She'd walked past this place"
2"She took the corner stool,"
3"A man two seats down"
4"She knew the voice before"
5"It dragged her backward through"
6"The name came out flat,"
7"He'd grown into himself."
8"The boy she remembered had"
9"The man holding the half-empty"
10"He moved to the stool"
11"She turned her glass on"
12"He laughed, and it carried"
13"Silas worked the far end"
14"She caught the small nod."
15"He knew her well enough"
16"He set the pint down"
17"The question hung there, fuller"
18"She thought of Evan, of"
19"He smiled, but it didn't"
ratio0.949
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences39
matches(empty)
ratio0
30.08% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences19
technicalSentenceCount3
matches
0"The man holding the half-empty pint wore a tailored coat and a watch that caught the bar light, and his hair had thinned at the temples in a way that made him l…"
1"Silas worked the far end of the bar, polishing a glass that didn't need it, his hazel eyes flicking once toward her and away."
2"Daniel lifted his pint at last, and drank, and when he set it down his eyes had gone somewhere far from the bar, somewhere with a courtroom in it that had never…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags13
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags7
fancyCount1
fancyTags
0"He laughed (laugh)"
dialogueSentences49
tagDensity0.143
leniency0.286
rawRatio0.143
effectiveRatio0.041
85.2380%