Run: 2026-06-01-01KT1H8YKFMCEQN4R1GZ3FCMNR

Run Details

Duration:
42.0s
Cost:
$0.060565
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 cobbles as Aurora pushed through the door of the Raven's Nest. Rain dripped from the hem of her jacket. She'd meant to drop the last delivery and go home—home being the flat above this very bar—but the warmth pulled her in, the low murmur of voices, the clink of glass. She didn't see him until she was halfway to the stairs. He sat at the far end of the bar, hunched over a tumbler, and the shape of his shoulders stopped her cold. She knew that slope. She'd memorised it once, across a thousand lecture halls and library tables in Cardiff. "Daniel?" The man turned. The face that found hers had aged past what the years should have allowed. Hollows under the eyes, a beard gone patchy and grey at the edges though he couldn't have been more than twenty-eight. But the eyes were the same. Pale grey, like the sky over the Severn in February. "God." He set the glass down too hard. "Rory. Rory Carter." "You look—" She stopped herself. "Terrible. Yeah." He laughed, and it cracked somewhere in the middle. "Sit down. Sit down before you decide better." She crossed the room. Silas, polishing a glass behind the bar, caught her eye and lifted one brow—a question. She gave the smallest shake of her head. Not now. He moved off down the bar. Aurora pulled out the stool beside Daniel. Up close he smelled of whisky and rain and something older, something unwashed beneath it. "Last I heard you were in Brussels," she said. "Some firm. Corporate something." "Corporate something." He turned the tumbler in slow circles. "Four years of corporate something. Then not." He looked at her properly now. "You finished law, then? You always swore you'd hate it." "I did hate it. I never finished." She signalled to Silas for a drink. "I deliver noodles now, if you can believe it." "I can't, actually." A real smile this time, fleeting. "You were the cleverest person I ever met. We all used to say it. Behind your back, mostly, because you'd have been insufferable." "You said it to my face once." "Did I." He frowned, dredging. "I don't remember half of it anymore. That's the thing nobody tells you. You think the good years are stamped in, permanent. They're not. They wash out like everything else." Silas slid a glass of red toward her and withdrew without a word. Aurora wrapped both hands around the stem. "What happened, Daniel?" He was quiet for a long moment. A couple by the window laughed at something; the sound seemed to come from very far away. "You remember Cerys?" "Of course I remember Cerys. You were going to marry her. You bored us all senseless about it." "We did marry her. I mean—I married her." He rubbed his face with the flat of his hand. "Three years. Then she got sick. Fast, the way it sometimes goes. Eight months from the first scan." He lifted the glass, didn't drink, set it down again. "And the thing is, Rory, I wasn't there for most of it. I was in the office. I was always in the office. Building the corporate something. Telling myself it was for us, for the future, for the house we were going to buy in Penarth with the view of the water." He laughed again, and it was an awful sound. "She died in November. I'd taken a call during her last good afternoon. A client in Frankfurt. I stepped out into the corridor and when I came back she was asleep and she never really—" He stopped. Aurora didn't reach for him. She knew better than that, knew it the way she knew the weight of her own bad years. She let the silence hold. "So that's what happened," he said. "That's the whole biography. Man chases the wrong thing, loses the right one, ends up in a bar in Soho talking to a ghost from his good years." "I'm not a ghost." "You're the closest thing I've got to one." He turned to her, and his eyes were wet, though no tears fell. "Do you know how often I've thought about that summer? The four of us in that horrible flat on Cathays Terrace, no money, eating beans off toast and arguing about everything. You and your impossible questions. I thought I'd be happy like that forever. I thought happiness was a thing you arrived at and then just—stayed." "Nobody stays anywhere," Aurora said. "I learned that one the hard way too." "Did you." He studied her. "There's something different about you. You've gone hard somewhere I can't see." She turned the glass. The wine caught the green light and went black. "I left someone. Not the way you left Cerys. The opposite, almost. I ran." She hadn't meant to say it. Something about him, the ruin of him, made the truth come easy. "His name was Evan. I let it go on too long because I kept thinking the person I'd fallen for would come back. He never did. So I came here instead." "And now you deliver noodles." "And now I deliver noodles." She found, to her surprise, that she could smile. "It's a clean kind of work. You take the food, you give it to the person, they're glad. There's no twenty-year plan in it. I think that's why I like it." Daniel nodded slowly, as though she'd said something profound. Maybe she had. The rain pressed harder against the window. "We were going to set the world right," he murmured. "You remember? On those steps outside the union. You and me and Ffion and Marc. We had it all worked out." "We were nineteen. We didn't know anything." "No." He drained the last of the whisky at last. "But we knew that, at least. We knew we didn't know. When did we lose that, Rory? When did we start pretending we'd figured it out?" She had no answer for him. The honest thing was that she didn't know the moment either—only that it had passed, for both of them, somewhere in the dark stretch of years between that flat and this bar, and that neither of them had marked it as it went. "Stay a while," she said. "I live upstairs. There's no twenty-year plan up there either. But there's tea, and a sofa, and you look like you haven't slept since November." He looked at her, and for a moment the ruin lifted and she saw him as he'd been—the boy on the steps, certain the world was a thing you could fix. "You always did ask impossible questions," he said. "That wasn't a question." "No." He set the empty glass down between them, careful now. "It wasn't."
created_at"2026-06-01T12:06:57.908Z" 6/1/2026, 12:06:57 PM
model"anthropic/claude-4.8-opus-20260528"
app_id182717
external_user(null)
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cancelledfalse
latency1287
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generation_time41930
tokens_prompt1094
tokens_completion1631
native_tokens_prompt1548
native_tokens_completion2113
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
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num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"end_turn"
service_tier"default"
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provider_responses
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is_byokfalse
latency1284
model_permaslug"anthropic/claude-4.8-opus-20260528"
provider_name"Anthropic"
status200
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Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags24
adverbTagCount1
adverbTags
0"He laughed again [again]"
dialogueSentences50
tagDensity0.48
leniency0.96
rawRatio0.042
effectiveRatio0.04
82.56% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1147
totalAiIsmAdverbs4
found
0
adverb"very"
count2
1
adverb"really"
count1
2
adverb"slowly"
count1
highlights
0"very"
1"really"
2"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)
78.20% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1147
totalAiIsms5
found
0
word"warmth"
count1
1
word"fleeting"
count1
2
word"weight"
count1
3
word"silence"
count1
4
word"profound"
count1
highlights
0"warmth"
1"fleeting"
2"weight"
3"silence"
4"profound"
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)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences59
filterMatches(empty)
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences85
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen61
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1140
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions15
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions15
wordCount560
uniqueNames8
maxNameDensity0.89
worstName"Aurora"
maxWindowNameDensity2
worstWindowName"Aurora"
discoveredNames
Aurora5
Raven1
Nest1
Cardiff1
Severn1
February1
Daniel2
Silas3
persons
0"Aurora"
1"Raven"
2"Daniel"
3"Silas"
places
0"Cardiff"
1"February"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences41
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1140
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences85
matches
0"was that she"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs41
mean27.8
std26.27
cv0.945
sampleLengths
061
111
240
31
454
511
65
719
835
922
1013
1132
1223
1332
147
1535
1620
173
1824
193
2018
21144
2228
2334
244
2577
2613
2717
2876
295
3045
3119
3231
337
3436
3549
3630
3731
388
394
4013
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
totalVerbs99
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount1
flaggedSentences5
totalSentences85
ratio0.059
matches
0"She'd meant to drop the last delivery and go home—home being the flat above this very bar—but the warmth pulled her in, the low murmur of voices, the clink of glass."
1"Silas, polishing a glass behind the bar, caught her eye and lifted one brow—a question."
2"A couple by the window laughed at something; the sound seemed to come from very far away."
3"The honest thing was that she didn't know the moment either—only that it had passed, for both of them, somewhere in the dark stretch of years between that flat and this bar, and that neither of them had marked it as it went."
4"He looked at her, and for a moment the ruin lifted and she saw him as he'd been—the boy on the steps, certain the world was a thing you could fix."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount566
adjectiveStacks0
stackExamples(empty)
adverbCount17
adverbRatio0.030035335689045935
lyAdverbCount4
lyAdverbRatio0.007067137809187279
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences85
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences85
mean13.41
std11.46
cv0.854
sampleLengths
022
18
231
311
422
54
614
71
83
914
1021
116
1210
138
143
155
1611
178
184
1915
208
212
226
237
2415
259
264
279
2813
2910
3014
319
329
3323
347
355
3630
3713
387
393
407
4117
423
4318
4418
4528
4661
4737
485
4918
69.02% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.47058823529411764
totalSentences85
uniqueOpeners40
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences51
matches
0"Pale grey, like the sky"
1"Maybe she had."
ratio0.039
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount30
totalSentences51
matches
0"She'd meant to drop the"
1"She didn't see him until"
2"He sat at the far"
3"She knew that slope."
4"She'd memorised it once, across"
5"He set the glass down"
6"She stopped herself"
7"He laughed, and it cracked"
8"She crossed the room."
9"She gave the smallest shake"
10"He moved off down the"
11"He turned the tumbler in"
12"He looked at her properly"
13"She signalled to Silas for"
14"He frowned, dredging"
15"He was quiet for a"
16"He rubbed his face with"
17"He lifted the glass, didn't"
18"He laughed again, and it"
19"She knew better than that,"
ratio0.588
9.02% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount46
totalSentences51
matches
0"The green neon buzzed overhead,"
1"Rain dripped from the hem"
2"She'd meant to drop the"
3"She didn't see him until"
4"He sat at the far"
5"She knew that slope."
6"She'd memorised it once, across"
7"The man turned."
8"The face that found hers"
9"He set the glass down"
10"She stopped herself"
11"He laughed, and it cracked"
12"She crossed the room."
13"Silas, polishing a glass behind"
14"She gave the smallest shake"
15"He moved off down the"
16"Aurora pulled out the stool"
17"He turned the tumbler in"
18"He looked at her properly"
19"She signalled to Silas for"
ratio0.902
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences51
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences16
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags24
uselessAdditionCount1
matches
0"He turned, and his eyes were wet, though no tears fell"
90.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags8
fancyCount3
fancyTags
0"He laughed (laugh)"
1"He laughed again (laugh)"
2"he murmured (murmur)"
dialogueSentences50
tagDensity0.16
leniency0.32
rawRatio0.375
effectiveRatio0.12
84.2935%