Run: 2026-10-08-01M4E1FKMABM0JXT0MNB2RFFBP

Run Details

Duration:
17.3s
Cost:
$0.001417
Provider:
Claude Platform on AWS

Model input

System
You are an expert novelist with a gift for vivid, immersive prose. You write in tight third-person limited point of view with a strong narrative voice. Your prose is clean, precise, and engaging — you favor strong verbs, concrete details, and natural-sounding dialogue. You will be given a story bible (codex) containing canonical details about characters, locations, items, and lore. Use these details to ground your writing in the established world. Stay consistent with the codex. Write only the prose of the scene. Do not include titles, chapter headings, markdown formatting, or any commentary before or after the scene.
User/Human
<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> 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.

Model response

AI
The green neon from the Nest's sign bled across the wet pavement, and Aurora stopped under it with a paper bag of Golden Empress dumplings going cold against her hip. She had meant to walk past. She had meant to go up the side stairs to the flat, change out of her delivery jacket, and be asleep before midnight. Instead she stood with her hand on the door while the rain ran off the awning in a thin, steady line. Inside, the bar smelled of woodsmoke and bitter orange. The old maps on the walls had yellowed to the colour of weak tea, and the black-and-white photographs looked down on the room with their usual patience. Silas was behind the bar, polishing a glass with the silver signet ring flashing on his right hand. He glanced up, saw her, and his face did something brief and unreadable before settling. He tilted his head toward the back corner without saying a word. She turned to follow his gesture and forgot about the dumplings entirely. Eva sat at the small table beneath the photograph of the Thames in 1952, a glass of white wine untouched in front of her. Her hair was cut short now, sharp at the jaw, and it was no longer the rust-red Rory remembered from the bus shelters of Cardiff Bay. She wore a camel coat folded over the back of the chair, and a gold band caught the light when she lifted her hand to tuck a strand behind her ear. For a moment neither of them moved. Then Eva stood, the chair scraping, and said, "Rory." Only her vowels gave her away. The Welsh lilt had been sanded down to something London-polished, something that had learned to sound unhurried in boardrooms. Rory heard it and felt the old ache rise under her ribs. "Eva." "I didn't think you'd be here." Eva laughed, a short sound with no real humour in it. "I didn't think you'd be anywhere, honestly. I used to check the electoral roll. Stupid, I know." "Not stupid." Rory set the paper bag on the nearest table. Her fingers found the small crescent scar on her left wrist, the way they always did when she was unsettled, and she made herself lower her hand. "I live upstairs." "Upstairs." Eva's eyebrows lifted. "Of course you do. Of course it's a bar." They sat. The wine glass sweated between them. Rory noticed Eva's hands, the manicured nails, the faint tremor she was trying to hide by turning the stem of her glass. She noticed too that Eva didn't ask about the delivery jacket, the damp hair, the cold dumplings. Eva had always noticed everything, and now she was choosing what to leave alone. "You look well," Eva said. "I look tired." "That too." A pause. "You cut your hair." "Years ago." "It suits you. You look like you know where you're going now." Rory almost laughed. "I know where I'm going to be at six tomorrow morning, which is on a bike in the rain." "That's not what I meant." "I know." Eva's gaze dropped to the table. Rory remembered the last time they had sat across from each other like this, in a Cardiff kitchen with the radio murmuring and Evan's car pulling into the street outside. Eva had been the one to say *go, just go, I'll send you the money, I'll tell them you've gone to your aunt's.* Rory had gone. She had sent one postcard, a bland thing with a picture of Big Ben, and then nothing. Every birthday since, Eva had sent a card. Every card, Rory had read once and put in a drawer she never opened. "I should have answered your calls," Rory said. "You should have." Eva's voice was steady, but her thumb pressed hard against the base of her wine glass. "But you were frightened. I knew that. I still know that." "It wasn't only fear." "No?" "I didn't want to be someone who needed rescuing anymore. I didn't want to be the girl you had to look after." Rory shook her head. "So I made myself into somebody who didn't need anyone. It's a very efficient way to live. You'd be amazed how little it costs." Eva was quiet for a long moment. When she spoke, her voice had gone softer, the Welsh coming back through it like water through cracked stone. "It cost you me, though." The words sat between them. Behind the bar, Silas set down a glass with a careful click, and the sound seemed to give them both permission to breathe. "I'm sorry," Rory said. "I know you are. I was angry for a long time. Then I wasn't." Eva looked up at her, eyes bright. "Then I had a child, and I realised I didn't have time to be angry about anything." Rory's throat closed. "A child." "Two years old. Her name's Nia. She has your terrible habit of refusing to sleep." Eva's smile wavered and steadied. "I'd like you to meet her. If you want that. No pressure." "I want that," Rory said, and was surprised by how fiercely she meant it. They sat with that for a while, the rain drumming on the windows, the maps on the wall holding their ancient coastlines. Eva finally lifted her wine and drank, and Rory watched the glass tremble once before she set it down. "Do you still have the scar?" Eva asked suddenly, nodding at Rory's wrist. "Every day." "Good." Eva reached across the table and, before Rory could pull away, rested two fingers lightly over the crescent of pale skin. "I'd hate to think you'd lost the one thing I could always recognise." Rory didn't move. The warmth of Eva's fingers was familiar and strange at once, like a language she had once spoken fluently and was only now remembering the grammar of. Across the room, the green neon flickered, and somewhere under the floorboards the old pipes knocked twice, as if the building itself had decided to speak up.
created_at"2026-10-08T15:18:04.694Z" 10/8/2026, 3:18:04 PM
model"anthropic/claude-haiku-5.5-20261007"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2981
moderation_latency(null)
generation_time17240
tokens_prompt846
tokens_completion1569
native_tokens_prompt1240
native_tokens_completion2586
native_tokens_completion_images(null)
native_tokens_reasoning658
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"
usage0.001417
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791472684-IIP1b7uF5US2n8f1n2vD"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791472684-V4Z7hj9ZHSxTpTJEI3t5"
upstream_id"msg_011CfpzZ8K7ZDHfZL5c1AZ6y"
provider_responses
0
endpoint_id"b6cdf493-3a61-441f-a134-e7944fddb980"
id"msg_011CfpzZ8K7ZDHfZL5c1AZ6y"
is_byokfalse
latency1309
model_permaslug"anthropic/claude-haiku-5.5-20261007"
provider_name"Claude Platform on AWS"
status200
total_cost0.001417
cache_discount(null)
upstream_inference_cost0
provider_name"Claude Platform on AWS"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
88.89% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags14
adverbTagCount2
adverbTags
0"her thumb pressed hard [hard]"
1"Eva asked suddenly [suddenly]"
dialogueSentences36
tagDensity0.389
leniency0.778
rawRatio0.143
effectiveRatio0.111
85.15% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1010
totalAiIsmAdverbs3
found
0
adverb"very"
count1
1
adverb"suddenly"
count1
2
adverb"lightly"
count1
highlights
0"very"
1"suddenly"
2"lightly"
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)
60.40% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1010
totalAiIsms8
found
0
word"unreadable"
count1
1
word"lilt"
count1
2
word"unsettled"
count1
3
word"efficient"
count1
4
word"wavered"
count1
5
word"warmth"
count1
6
word"familiar"
count1
7
word"flickered"
count1
highlights
0"unreadable"
1"lilt"
2"unsettled"
3"efficient"
4"wavered"
5"warmth"
6"familiar"
7"flickered"
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
narrationSentences55
matches
0"was surprised"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences55
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
maxSentenceWordsSeen31
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords16
totalWords1010
ratio0.016
matches
0"go, just go, I'll send you the money, I'll tell them you've gone to your aunt's."
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions9
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions52
wordCount755
uniqueNames15
maxNameDensity2.52
worstName"Eva"
maxWindowNameDensity5
worstWindowName"Rory"
discoveredNames
Nest1
Aurora1
Golden1
Empress1
Thames1
Rory17
Cardiff2
Bay1
Eva19
Welsh2
London-polished1
Evan1
Big1
Ben1
Silas2
persons
0"Aurora"
1"Rory"
2"Eva"
3"Evan"
4"Big"
5"Ben"
6"Silas"
places
0"Nest"
1"Thames"
2"Cardiff"
3"Bay"
4"London-polished"
globalScore0.242
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences43
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1010
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
totalParagraphs38
mean26.58
std25.53
cv0.961
sampleLengths
080
181
212
381
416
537
61
734
841
913
1061
115
123
138
142
1512
1622
175
182
19101
208
2130
224
231
2450
2531
2628
274
2838
295
3032
3114
3241
3313
342
3535
3630
3727
92.50% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences55
matches
0"been sanded"
1"was surprised"
99.75% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs133
matches
0"was trying"
1"was choosing"
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
wordCount759
adjectiveStacks0
stackExamples(empty)
adverbCount28
adverbRatio0.03689064558629776
lyAdverbCount8
lyAdverbRatio0.010540184453227932
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
mean13.29
std8.72
cv0.656
sampleLengths
030
16
223
321
49
527
618
715
812
912
1024
1126
1231
137
149
156
1619
1712
181
1917
2017
2111
2227
233
244
259
262
276
2822
2917
3014
315
323
334
344
352
3612
373
3819
395
402
416
4230
4326
4417
458
4614
478
4819
4911
62.28% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.42105263157894735
totalSentences76
uniqueOpeners32
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences50
matches
0"Instead she stood with her"
1"Then Eva stood, the chair"
2"Only her vowels gave her"
ratio0.06
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount11
totalSentences50
matches
0"She had meant to walk"
1"She had meant to go"
2"He glanced up, saw her,"
3"He tilted his head toward"
4"She turned to follow his"
5"Her hair was cut short"
6"She wore a camel coat"
7"Her fingers found the small"
8"She noticed too that Eva"
9"She had sent one postcard,"
10"They sat with that for"
ratio0.22
40.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount42
totalSentences50
matches
0"The green neon from the"
1"She had meant to walk"
2"She had meant to go"
3"The old maps on the"
4"Silas was behind the bar,"
5"He glanced up, saw her,"
6"He tilted his head toward"
7"She turned to follow his"
8"Eva sat at the small"
9"Her hair was cut short"
10"She wore a camel coat"
11"The Welsh lilt had been"
12"Rory heard it and felt"
13"Eva laughed, a short sound"
14"Rory set the paper bag"
15"Her fingers found the small"
16"Eva's eyebrows lifted"
17"The wine glass sweated between"
18"Rory noticed Eva's hands, the"
19"She noticed too that Eva"
ratio0.84
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences50
matches(empty)
ratio0
63.49% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences27
technicalSentenceCount3
matches
0"The Welsh lilt had been sanded down to something London-polished, something that had learned to sound unhurried in boardrooms."
1"Rory remembered the last time they had sat across from each other like this, in a Cardiff kitchen with the radio murmuring and Evan's car pulling into the stree…"
2"Across the room, the green neon flickered, and somewhere under the floorboards the old pipes knocked twice, as if the building itself had decided to speak up."
53.57% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags14
uselessAdditionCount2
matches
0"Eva stood, the chair scraping, and said,"
1"Eva looked up, eyes bright"
94.44% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags7
fancyCount2
fancyTags
0"Eva laughed (laugh)"
1"her thumb pressed hard (press)"
dialogueSentences36
tagDensity0.194
leniency0.389
rawRatio0.286
effectiveRatio0.111
84.6825%