Run: 2026-10-08-01M4DA0B2KY426JVEQ1EME5DYW

Run Details

Duration:
21.3s
Cost:
$0.001721
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 of the Raven's Nest bled across the wet pavement of Greek Street, and Aurora Carter stopped beneath it with a delivery bag still slung across her chest, the Golden Empress's paper seal soft with rain. She had meant to go straight up the stairs to her flat. Instead she pushed through the door because the cold had got into her wrist, the old crescent scar aching the way it did in weather, and because the bar was warm and smelled of woodsmoke and bitter oranges. Silas glanced up from behind the bar. He lifted two fingers from the wood in a greeting that asked nothing, then went back to cutting lemons. His silver signet ring caught the lamplight. She had watched him for two years, and she still could not tell whether his stillness was patience or a habit he had learned in some other country. She turned to hang her jacket on the hook by the door and stopped. A woman sat in the corner booth beneath the wall of old maps, a glass of red wine untouched in front of her. Her hair was shorter, cut to the jaw and streaked with a copper that had not existed when they were nineteen. She wore a camel coat buttoned wrong, as if she had dressed in a hurry and not looked back. But she had the same way of tilting her head when she was deciding whether to be amused, and when she looked up and saw Rory, the tilt came first. "Well," said Eva Price. "I'd have bet the house against this." Rory's mouth went dry. She had imagined this moment in several versions over the years, most of them at three in the morning, and in none of them had she been holding a damp paper bag of sweet and sour pork. "Eva." "Don't look like that. You look like you've seen a ghost, and I'm very much alive, thank you." Eva gestured at the empty seat across from her. "Sit down before Silas decides you're causing trouble." Rory sat. The leather was cold through her trousers. For a moment neither of them spoke, and the silence had a shape to it, full of Cardiff rain and a bedroom with a broken window and a promise made at a bus stop that Rory had not kept in the way she'd meant to. "How long has it been?" Eva asked. "Four years. Five, in March." "You counted." "I count everything now." It came out flatter than she intended. She heard it and winced. Eva studied her, and Rory felt the look travel the way it always had, from the set of her shoulders to the chipped nail on her thumb to the scar on her wrist, which she had not bothered to cover. Eva's gaze stopped there and stayed a beat too long. Rory tugged her sleeve down. "You've changed," Eva said quietly. "So have you." "Mine's the obvious kind. Hair, a husband, a mortgage in Pinner that I pretend to hate." Eva turned the wine glass slowly by its stem. "Yours is the other kind. The kind where I can't work out what you're hiding, because I used to know everything you were hiding." Rory almost laughed. "I'm delivering takeaway and sleeping above a bar, Eva. There's not much to hide. It's rather dull." "You don't sleep. You never slept. You used to lie awake listing every way a thing could go wrong and then pick the one you could fix." Eva's voice softened. "I asked Brendan about you once. At your mum's birthday, before... well. He said you'd been in London two months and he couldn't get you on the phone. He said you'd written him a letter that was four lines long and every line was a lawyer's line." The name landed heavier than it should have. Rory looked at the wine, at the map on the wall behind Eva's head, a faded chart of the Adriatic with a pin hole where something had once been fixed. Her father had kept maps like that in his study, pinned above a desk covered in case files. He had taught her that every argument had a shape, and if you could see the shape you could walk around it. "He was angry," she said. "I didn't give him much to work with." "He wasn't angry. He was frightened for you. You know that." "I know." Across the room, Silas set down his knife. He came around the bar with the careful weight he always carried on his left leg, the old knee injury that he never mentioned and never hid, and he paused beside their table without quite stopping. "Rory. Table nine's been asking for their bill for ten minutes. I'll take the bag if you like." She looked up at him. There was a question in his hazel eyes, and under the question something else, something that looked very much like permission. He did not ask who Eva was. He never asked what anyone was. "Thank you," she said. "I'll bring it down in a minute." When he had gone, Eva leaned forward. "Is he your boss?" "He's my landlord. And he's ... he's the closest thing I've got to a family in this city, I suppose. Which is pathetic, when you say it out loud." "It isn't pathetic." Eva's hand crept across the table and stopped short of hers. "I'm glad you have someone." The words hurt in an unexpected place. Rory thought of Evan, of the nights she had spent learning which floorboards creaked and which doors locked from the outside, and of the morning she had walked out with one bag and a stolen bus fare, and Eva's voice on the phone saying, *Come to London. I'll find you somewhere. Just come.* She had not gone back for the funeral of Eva's gran or the christening of Eva's first child. She had sent cards with careful words. She had let distance do the cutting, because distance did not require her to explain. "I should have called," Rory said. "After the wedding. I got your invitation and I sat with it for a week, and then I wrote *congratulations* on a card and posted it and felt like I'd paid a debt." "You did pay it. You're not the one who has to keep a ledger." "I'm exactly the one." Eva was quiet. Outside, a bus groaned past, its light sliding across the bookshelves that lined the back wall, the hidden door Silas never talked about. The rain had thickened into something steadier. "Do you still want the things you wanted?" Eva asked at last. "Law. Being someone who wins." Rory considered the question honestly, which was a habit she had been trying to unlearn. "I don't know what I want. I know what I'm good at. That's different." "That's not an answer." "No," Rory agreed. "It's a confession." Eva smiled then, the old crooked smile, and for one unguarded second she looked nineteen again, wearing somebody's borrowed scarf on a bench in Bute Park. "Then let's have a drink like we used to. Something stupid. And you can tell me everything you're not telling me, and I'll pretend I don't notice you're lying." Rory reached for the wine list, and found that her hand, for once, was perfectly steady.
created_at"2026-10-08T08:27:47.162Z" 10/8/2026, 8:27:47 AM
model"anthropic/claude-haiku-5.5-20261007"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency18360
moderation_latency(null)
generation_time21307
tokens_prompt846
tokens_completion1674
native_tokens_prompt1240
native_tokens_completion3194
native_tokens_completion_images(null)
native_tokens_reasoning966
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"
usage0.001721
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791448067-WYFQGJm2fcNIxJKBApAI"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791448067-Rz53MjKgTOQzOobX78PT"
upstream_id"msg_011CfpTGRE1xJnBEyfTVAHhE"
provider_responses
0
endpoint_id"b6cdf493-3a61-441f-a134-e7944fddb980"
id"msg_011CfpTGRE1xJnBEyfTVAHhE"
is_byokfalse
latency784
model_permaslug"anthropic/claude-haiku-5.5-20261007"
provider_name"Claude Platform on AWS"
status200
total_cost0.001721
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
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags12
adverbTagCount1
adverbTags
0"Eva said quietly [quietly]"
dialogueSentences38
tagDensity0.316
leniency0.632
rawRatio0.083
effectiveRatio0.053
83.71% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1228
totalAiIsmAdverbs4
found
0
adverb"very"
count2
1
adverb"slowly"
count1
2
adverb"perfectly"
count1
highlights
0"very"
1"slowly"
2"perfectly"
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)
91.86% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1228
totalAiIsms2
found
0
word"silence"
count1
1
word"weight"
count1
highlights
0"silence"
1"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
emotionTells0
narrationSentences58
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences58
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences83
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen47
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans2
markdownWords10
totalWords1229
ratio0.008
matches
0"Come to London. I'll find you somewhere. Just come."
1"congratulations"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions14
unquotedAttributions0
matches(empty)
16.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions49
wordCount831
uniqueNames18
maxNameDensity2.17
worstName"Eva"
maxWindowNameDensity4.5
worstWindowName"Eva"
discoveredNames
Raven1
Nest1
Greek1
Street1
Aurora1
Carter1
Golden1
Empress1
Rory13
Eva18
Price1
Cardiff1
Adriatic1
Silas3
Evan1
London1
Bute1
Park1
persons
0"Raven"
1"Nest"
2"Aurora"
3"Carter"
4"Empress"
5"Rory"
6"Eva"
7"Price"
8"Silas"
9"Evan"
places
0"Greek"
1"Street"
2"Cardiff"
3"London"
4"Bute"
5"Park"
globalScore0.417
windowScore0.167
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
wordCount1229
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences83
matches
0"found that her"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs41
mean29.98
std27.24
cv0.909
sampleLengths
088
161
214
393
411
541
61
735
854
97
105
112
1216
1355
145
153
1649
1720
1877
1978
2013
2111
222
2344
2418
2539
2611
2711
2829
2919
30100
3139
3214
334
3433
3517
3629
374
386
3955
4016
99.21% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences58
matches
0"been fixed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs141
matches
0"was deciding"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences83
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount831
adjectiveStacks0
stackExamples(empty)
adverbCount20
adverbRatio0.024067388688327317
lyAdverbCount4
lyAdverbRatio0.0048134777376654635
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences83
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences83
mean14.81
std12.07
cv0.815
sampleLengths
038
112
238
37
419
57
628
714
823
921
1019
1130
124
137
144
1537
161
1727
188
192
207
2145
227
235
242
2511
265
2740
2810
295
305
313
3225
3324
343
3517
3630
3747
388
3930
4018
4122
425
438
4411
452
468
4736
4818
495
66.27% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.43373493975903615
totalSentences83
uniqueOpeners36
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences52
matches
0"Instead she pushed through the"
1"Just come.* She had not"
ratio0.038
73.85% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount19
totalSentences52
matches
0"She had meant to go"
1"He lifted two fingers from"
2"His silver signet ring caught"
3"She had watched him for"
4"She turned to hang her"
5"Her hair was shorter, cut"
6"She wore a camel coat"
7"She had imagined this moment"
8"It came out flatter than"
9"She heard it and winced."
10"Her father had kept maps"
11"He had taught her that"
12"He came around the bar"
13"She looked up at him."
14"He did not ask who"
15"He never asked what anyone"
16"I'll find you somewhere."
17"She had sent cards with"
18"She had let distance do"
ratio0.365
46.54% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount43
totalSentences52
matches
0"The green neon of the"
1"She had meant to go"
2"Silas glanced up from behind"
3"He lifted two fingers from"
4"His silver signet ring caught"
5"She had watched him for"
6"She turned to hang her"
7"A woman sat in the"
8"Her hair was shorter, cut"
9"She wore a camel coat"
10"Rory's mouth went dry."
11"She had imagined this moment"
12"Eva gestured at the empty"
13"The leather was cold through"
14"It came out flatter than"
15"She heard it and winced."
16"Eva studied her, and Rory"
17"Eva's gaze stopped there and"
18"Rory tugged her sleeve down."
19"Eva said quietly"
ratio0.827
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences52
matches(empty)
ratio0
87.91% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences26
technicalSentenceCount2
matches
0"There was a question in his hazel eyes, and under the question something else, something that looked very much like permission."
1"Outside, a bus groaned past, its light sliding across the bookshelves that lined the back wall, the hidden door Silas never talked about."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags12
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags7
fancyCount1
fancyTags
0"Rory agreed (agree)"
dialogueSentences38
tagDensity0.184
leniency0.368
rawRatio0.143
effectiveRatio0.053
88.8671%