Run: 2026-10-08-01M4DA471GQ2ZYRWBJMS03BJA7

Run Details

Duration:
16.4s
Cost:
$0.001357
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 above the door buzzed the way it always did, a flicker before it caught, and Rory stood under it for a moment longer than she needed to, one hand still on the cold brass handle. Inside, the Nest smelled of woodsmoke and bitter orange, the same as it had every evening since she'd moved upstairs. Old maps curled on the walls. The black-and-white photographs watched from their frames: men in overcoats, women with cigarettes, a cricket team squinting at a sun nobody had seen in years. She had come down for a bottle of wine and a few minutes away from the flat. She had not come down to be recognised. "Rory?" The voice came from the corner booth, low and uncertain, and it went through her like a draught. She knew it before she turned. Some part of her had known it since the door opened, the way a body knows the stair that creaks. Gwen Pritchard sat with a half-finished glass of red and a coat folded on the seat beside her. Her hair was shorter, cropped close at the nape, and there were lines at the corners of her mouth that had not been there at eighteen. But the eyes were the same. Brown, steady, faintly amused, as if the world were a joke she had decided not to explain. "Gwen," Rory said. "Christ. It is you." Gwen slid out of the booth and stood, and for a moment neither of them moved toward the other. Then Gwen laughed, a short sound, and crossed the floor and hugged her, hard, and Rory found her own arms moving to return it, stiff at first, then not. They had been inseparable in Cardiff. Gwen had been the one who knew which teachers could be talked out of detention and which shop assistants would sell cider to anyone with a confident face. Rory had been the one who planned the escape routes. Together they had been loud, and reckless, and certain. "You look different," Gwen said, holding her at arm's length. "Thinner, I expect." "No. Harder. Like someone's sanded you down and left the grain showing." Gwen tilted her head. "Are you well?" It was such a simple question. Rory felt the answer rise and fold back down again. "I'm working," she said. "Delivering for a place in Chinatown. Golden Empress. The owner's a terror, but she pays on time and she feeds me when I look like I've been dragged through a hedge." "Delivering." Gwen's mouth tightened. "You were going to be a barrister. Your dad had the wig picked out." "Dad had a lot of things picked out." The words came out flatter than she meant, and Gwen let them lie between them without pressing. That, more than anything, was the old kindness. Rory remembered it now: how Gwen had sat with her on the back steps of the comprehensive the week her father stopped phoning, and had said nothing at all for an hour. Behind the bar, Silas Blackwood looked up from the glass he was drying and gave her the small nod he gave everyone, the one that meant *I see you, and I'm not going to ask*. The silver ring on his right hand caught the lamplight as he set the glass down. He was talking to no one, but she had the impression he was listening to every word. "Do you live near here?" Gwen asked. "Upstairs." Rory gestured vaguely at the ceiling. "Above the bar. I know. It's a bit much for someone on a delivery wage. But the rent is ridiculous and the landlord doesn't ask questions." "Is that your whole life now? Not asking questions?" Gwen said it lightly. It landed like a stone. Rory looked away, toward the photographs. The cricket team. The woman with the cigarette. Someone she had never met, looking as though they knew exactly where they were going. "I didn't write to you," she said. "After I left." "No." "I meant to. I had the letter started four times. Every version sounded like I was asking for something." "You were." Gwen said it gently. "You were asking me to not be angry. And I wasn't, not really. I was frightened for you. There's a difference, though it took me ages to see it." Rory's left wrist ached, though it never did. She rubbed the thin crescent scar with her thumb, the old reflex from childhood, from the glass door at her nan's house, the blood she had been so proud and so ashamed of. "I thought if I came here and became someone nobody from home would recognise," she said, "I'd stop being the girl who ran. I wanted to be someone who didn't need explaining." "And?" "And I'm still the girl who ran. I just do it on a bicycle now, with a hot bag of noodles on the back." Gwen laughed, and this time it was real, warm and surprised, and Rory felt something in her chest loosen by a single turn. "You haven't changed as much as you think," Gwen said. "You still make jokes to get out of the room." "Is that what I'm doing?" "Yes. Now sit down. Tell me everything you're not telling me, and I'll tell you about the disaster that is my marriage, and we'll pretend for one hour that we're nineteen and the night is young." Rory hesitated. Across the room, the green neon flickered and steadied, and the old maps on the walls held their faded borders like promises nobody had yet kept. She slid into the booth. "Only if you pour me a glass first." Gwen was already reaching for the bottle.
created_at"2026-10-08T08:29:54.106Z" 10/8/2026, 8:29:54 AM
model"anthropic/claude-haiku-5.5-20261007"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2647
moderation_latency(null)
generation_time16400
tokens_prompt846
tokens_completion1524
native_tokens_prompt1240
native_tokens_completion2467
native_tokens_completion_images(null)
native_tokens_reasoning714
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"
usage0.0013575
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791448194-NFwmtUsXkOjItEoNhZEZ"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791448194-aXLS6laStAvHwgiyTWFo"
upstream_id"msg_011CfpTRnPk4YGwCBvH4zsqv"
provider_responses
0
endpoint_id"b6cdf493-3a61-441f-a134-e7944fddb980"
id"msg_011CfpTRnPk4YGwCBvH4zsqv"
is_byokfalse
latency913
model_permaslug"anthropic/claude-haiku-5.5-20261007"
provider_name"Claude Platform on AWS"
status200
total_cost0.0013575
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"Rory gestured vaguely [vaguely]"
dialogueSentences30
tagDensity0.4
leniency0.8
rawRatio0.083
effectiveRatio0.067
84.21% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount950
totalAiIsmAdverbs3
found
0
adverb"lightly"
count1
1
adverb"gently"
count1
2
adverb"really"
count1
highlights
0"lightly"
1"gently"
2"really"
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)
89.47% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount950
totalAiIsms2
found
0
word"flicker"
count1
1
word"flickered"
count1
highlights
0"flicker"
1"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
emotionTells0
narrationSentences51
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences51
filterMatches
0"see"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences69
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen38
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords9
totalWords950
ratio0.009
matches
0"I see you, and I'm not going to ask"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions13
unquotedAttributions0
matches(empty)
33.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions31
wordCount645
uniqueNames7
maxNameDensity2.33
worstName"Gwen"
maxWindowNameDensity4
worstWindowName"Gwen"
discoveredNames
Rory11
Nest1
Pritchard1
Gwen15
Cardiff1
Silas1
Blackwood1
persons
0"Rory"
1"Pritchard"
2"Gwen"
3"Silas"
4"Blackwood"
places
0"Cardiff"
globalScore0.337
windowScore0.333
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences36
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount950
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences69
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs37
mean25.68
std21.23
cv0.827
sampleLengths
089
125
21
344
467
53
652
753
810
93
1019
1116
1235
1318
148
1557
1668
177
1833
199
209
2129
2210
231
2419
2535
2641
2732
281
2924
3023
3120
325
3336
3428
3513
367
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences51
matches(empty)
0.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount5
totalVerbs118
matches
0"was drying"
1"was talking"
2"was listening"
3"were going"
4"was already reaching"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences69
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount648
adjectiveStacks0
stackExamples(empty)
adverbCount17
adverbRatio0.026234567901234566
lyAdverbCount5
lyAdverbRatio0.007716049382716049
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences69
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences69
mean13.77
std10.26
cv0.745
sampleLengths
038
120
26
325
417
58
61
718
86
920
1018
1126
126
1317
143
1523
1629
176
1828
1910
209
2110
223
2316
243
256
2610
274
2831
294
3014
318
3217
338
3432
3535
3616
3717
387
397
4026
419
424
435
446
453
465
4715
487
493
75.85% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.5072463768115942
totalSentences69
uniqueOpeners35
75.76% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences44
matches
0"Then Gwen laughed, a short"
ratio0.023
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount10
totalSentences44
matches
0"She had come down for"
1"She had not come down"
2"She knew it before she"
3"Her hair was shorter, cropped"
4"They had been inseparable in"
5"It was such a simple"
6"He was talking to no"
7"It landed like a stone."
8"She rubbed the thin crescent"
9"She slid into the booth."
ratio0.227
39.55% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount37
totalSentences44
matches
0"The green neon above the"
1"The black-and-white photographs watched from"
2"She had come down for"
3"She had not come down"
4"The voice came from the"
5"She knew it before she"
6"Some part of her had"
7"Gwen Pritchard sat with a"
8"Her hair was shorter, cropped"
9"Brown, steady, faintly amused, as"
10"Gwen slid out of the"
11"They had been inseparable in"
12"Gwen had been the one"
13"Rory had been the one"
14"Gwen said, holding her at"
15"Gwen tilted her head"
16"It was such a simple"
17"Rory felt the answer rise"
18"Gwen's mouth tightened"
19"The words came out flatter"
ratio0.841
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences44
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences22
technicalSentenceCount0
matches(empty)
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
totalTags8
fancyCount0
fancyTags(empty)
dialogueSentences30
tagDensity0.267
leniency0.533
rawRatio0
effectiveRatio0
86.6055%