Run: 2026-06-01-01KT1G4XVAN6KK8Q99X12NZTA2

Run Details

Duration:
36.9s
Cost:
$0.056815
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 sign buzzed over the door of the Raven's Nest, throwing a sick light across the wet pavement. Inside, the air smelled of spilled gin and old paper, and the maps on the walls had yellowed since the last time Aurora set foot in the place. She hadn't meant to come. The rain had pushed her in, that and the dull ache of a delivery shift that wouldn't end, and now she stood at the threshold with her helmet under one arm, water running off her jacket onto the floorboards. A man at the far end of the bar turned at the draught. For a moment he was only a silhouette against the bottles, broad-shouldered, still. Then he set down his glass and the light caught the grey in his auburn hair. "Well," he said. "If it isn't trouble itself." She knew the voice before she knew the face. Some part of her wanted to back out the way she'd come. "Marcus." "Nobody's called me that in a long while." He gestured at the stool beside him, the silver ring on his finger catching the light. No. Not Marcus. She blinked the years away and the name rearranged itself. "You go by something else now." "I go by lots of things." He smiled, and the smile was the same, though the rest of him had thickened and greyed and folded into someone older. "Sit. You're dripping on Silas's floor and he notices everything." She sat. The stool wobbled. She remembered that, somehow — the wobble of these stools, the way the bar had felt enormous when she was twenty and new to the city and frightened of every footstep behind her. "You used to be afraid of this place," he said, as if he'd reached into her skull. "I used to be afraid of everything." "And now?" "Now I deliver noodles." She set the helmet on the bar. "Selectively afraid." He laughed, low, and it broke something loose in the room. The barman, a thin boy she didn't recognise, slid a glass of whisky toward her without asking. She didn't touch it. "Last I heard," she said, "you'd gone abroad. Eva told me. Something about a posting." "Eva." He turned the name over like a stone. "How is she?" "Married. Two kids. She sends photos I don't look at properly." "That's a thing people say when they look at every one." He'd always done that — caught the seam in a sentence and pulled until it unravelled. She'd loved him for it once, in the way you love anyone who sees you when you'd rather not be seen. They'd been students together, back in Cardiff, before law and London and the long blur of running. He'd been the boy who quoted dead Russians and slept on the floor of the library. Now he sat with a drink in a Soho bar and a stillness in him that hadn't been there before, a watchfulness that made her count the exits. "You've changed," she said. "Everyone says that. As though it's an accusation." "Maybe it is." He considered her over the rim of his glass. "You haven't. Not really. Same eyes. Same way of sitting like you're about to bolt." "That's the only way I know how to sit." The rain hammered the window. Somewhere behind the bar a clock ticked, and she found herself listening to it, counting the seconds the way she'd counted them in Evan's flat, waiting for the sound of his key. "You knew, didn't you," she said. "Back then. About him." He didn't pretend to misunderstand. That was the thing about him — he never gave you the mercy of misunderstanding. "I knew something was wrong. I didn't know what. You stopped coming round. You stopped answering. And then you were gone, and Eva said don't ask." He turned the glass a slow quarter-turn on the bar. "I should have asked anyway." "Yes," she said. "You should have." The word landed harder than she'd meant it to. For a second she saw it strike him, saw the small flinch he buried under another sip. The boy she'd known would have argued. This man only nodded, as though he'd been waiting a long time to be told. "I left the country two weeks after you disappeared," he said. "Took the first thing offered. Told myself it was ambition. It wasn't." He looked at the photographs on the wall, the strangers frozen in their black-and-white lives. "It was easier to be somewhere you couldn't have called me from." "I wouldn't have called." "I know. That made it worse, not better." She picked up the whisky then, more for something to do with her hands than any desire to drink it. The smell of it caught in her throat. Outside, a taxi sluiced through a puddle and someone shouted and laughed. "What are you now?" she asked. "Whatever you are, with your three names and your watching the door before I even came through it." "Retired." He said it lightly, and it was a lie shaped like the truth. "Sort of. Silas keeps me around. Old habits." "You sound like a man with a lot of habits he doesn't talk about." "I'm a man with a lot of years I can't get back." He set the glass down. "That's the only habit worth confessing." They sat with that. The clock ticked. She thought of all the versions of herself she'd shed like skins — Aurora, Rory, the names she answered to now that meant nothing and everything. She thought of how easy it would have been, once, to lean her head on his shoulder and let the city pass. "You disappeared too," she said. "We both did. Different directions, same trick." "And here we are. Same room." "Same room." She looked at him properly, the lines around his eyes, the steadiness that had cost him something to build. "I think I came here tonight because I knew it would still smell the same." "It does." "It does." She stood, and the stool wobbled, and she steadied it with one hand, the crescent scar pale on her wrist under the green light. "I'm not going to drink this." "I didn't think you would." She left the glass full on the bar, and he didn't try to stop her, and that — she understood, walking back into the rain — was the closest thing to forgiveness either of them had ever managed to offer.
created_at"2026-06-01T11:47:17.487Z" 6/1/2026, 11:47:17 AM
model"anthropic/claude-4.8-opus-20260528"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1167
moderation_latency(null)
generation_time36891
tokens_prompt1094
tokens_completion1545
native_tokens_prompt1548
native_tokens_completion1963
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"
usage0.056815
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provider_responses
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is_byokfalse
latency1167
model_permaslug"anthropic/claude-4.8-opus-20260528"
provider_name"Anthropic"
status200
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api_type"completions"
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upstream_id"msg_01XZWBgphRMrkAn3RdrKrD5e"
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Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags19
adverbTagCount0
adverbTags(empty)
dialogueSentences49
tagDensity0.388
leniency0.776
rawRatio0
effectiveRatio0
90.72% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1078
totalAiIsmAdverbs2
found
0
adverb"really"
count1
1
adverb"lightly"
count1
highlights
0"really"
1"lightly"
80.00% AI-ism character names
Target: 0 AI-default names (16 tracked, −20% each)
codexExemptions
0"Blackwood"
found
0"Marcus"
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
95.36% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1078
totalAiIsms1
found
0
word"desire"
count1
highlights
0"desire"
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
narrationSentences59
matches(empty)
70.22% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount3
narrationSentences59
filterMatches(empty)
hedgeMatches
0"tend to"
1"try to"
2"managed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences89
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen39
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1084
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions22
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions11
wordCount749
uniqueNames10
maxNameDensity0.27
worstName"Aurora"
maxWindowNameDensity0.5
worstWindowName"Aurora"
discoveredNames
Raven1
Nest1
Aurora2
Marcus1
Cardiff1
London1
Russians1
Soho1
Evan1
Rory1
persons
0"Raven"
1"Nest"
2"Aurora"
3"Marcus"
4"Evan"
5"Rory"
places
0"Cardiff"
1"London"
2"Soho"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences40
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1084
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences89
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs46
mean23.57
std21.36
cv0.906
sampleLengths
092
142
28
321
41
537
66
738
838
917
107
112
1213
1332
1415
1512
1611
1711
1898
194
208
213
2224
239
2437
2510
2620
2741
286
2948
3050
314
328
3340
3424
3522
3614
3723
3855
3912
406
4136
422
4332
445
4540
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences59
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs137
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount6
semicolonCount0
flaggedSentences5
totalSentences89
ratio0.056
matches
0"She remembered that, somehow — the wobble of these stools, the way the bar had felt enormous when she was twenty and new to the city and frightened of every footstep behind her."
1"He'd always done that — caught the seam in a sentence and pulled until it unravelled."
2"That was the thing about him — he never gave you the mercy of misunderstanding."
3"She thought of all the versions of herself she'd shed like skins — Aurora, Rory, the names she answered to now that meant nothing and everything."
4"She left the glass full on the bar, and he didn't try to stop her, and that — she understood, walking back into the rain — was the closest thing to forgiveness either of them had ever managed to offer."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount747
adjectiveStacks0
stackExamples(empty)
adverbCount18
adverbRatio0.024096385542168676
lyAdverbCount4
lyAdverbRatio0.00535475234270415
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences89
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences89
mean12.18
std9.18
cv0.753
sampleLengths
020
128
25
339
413
513
616
73
85
99
1012
111
1224
131
142
1510
166
1728
1810
192
203
2133
2217
237
242
2511
262
2711
2817
294
3015
319
323
3311
3411
3516
3621
3717
3816
3928
404
418
423
439
4415
459
465
4732
486
494
71.16% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.4606741573033708
totalSentences89
uniqueOpeners41
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences48
matches
0"Then he set down his"
1"Somewhere behind the bar a"
ratio0.042
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount28
totalSentences48
matches
0"She hadn't meant to come."
1"She knew the voice before"
2"He gestured at the stool"
3"She blinked the years away"
4"He smiled, and the smile"
5"She remembered that, somehow —"
6"he said, as if he'd"
7"She set the helmet on"
8"He laughed, low, and it"
9"She didn't touch it."
10"He turned the name over"
11"He'd always done that —"
12"She'd loved him for it"
13"They'd been students together, back"
14"He'd been the boy who"
15"He considered her over the"
16"He didn't pretend to misunderstand."
17"He turned the glass a"
18"He looked at the photographs"
19"She picked up the whisky"
ratio0.583
32.92% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount41
totalSentences48
matches
0"The green neon sign buzzed"
1"She hadn't meant to come."
2"The rain had pushed her"
3"A man at the far"
4"She knew the voice before"
5"Some part of her wanted"
6"He gestured at the stool"
7"She blinked the years away"
8"He smiled, and the smile"
9"The stool wobbled."
10"She remembered that, somehow —"
11"he said, as if he'd"
12"She set the helmet on"
13"He laughed, low, and it"
14"The barman, a thin boy"
15"She didn't touch it."
16"He turned the name over"
17"He'd always done that —"
18"She'd loved him for it"
19"They'd been students together, back"
ratio0.854
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences48
matches
0"Now he sat with a"
ratio0.021
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences25
technicalSentenceCount1
matches
0"The rain had pushed her in, that and the dull ache of a delivery shift that wouldn't end, and now she stood at the threshold with her helmet under one arm, wate…"
19.74% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags19
uselessAdditionCount4
matches
0"He smiled, and the smile was the same, though the rest of him had thickened and greyed and folded into someone older"
1"he said, as if he'd reached into her skull"
2"He looked, the strangers frozen in their black-and-white lives"
3"She stood, and the stool wobbled, and she steadied it with one hand, the crescent scar pale on her wrist under the green light"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags10
fancyCount0
fancyTags(empty)
dialogueSentences49
tagDensity0.204
leniency0.408
rawRatio0
effectiveRatio0
85.3373%