Run: 2026-10-08-01M4DAKPREAC1SR6F4PA90A6FG

Run Details

Duration:
19.2s
Cost:
$0.001765
Provider:
Claude Platform on AWS

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 above the door buzzed its half-second stutter before Rory pushed through. The Nest smelled the way it always did, of wet wool, bitter orange, and old paper. She had come in for one drink and a cigarette she had promised herself she would not light. Silas lifted two fingers off the bar without looking up, which meant the usual was coming. She'd barely settled onto her stool when the woman beside her said, "You still take it with too much ice." Rory didn't turn straight away. She knew the voice the way she knew the crescent scar on her wrist, by touch before sight. When she did turn, Eva Morgan looked back at her from under a cropped crown of hair the colour of wet sand. The long braid was gone. So were the freckles, or someone had taught her to hide them. A wedding band sat on her left hand, and a visitor's lanyard hung from the pocket of a charcoal coat. "Christ," Rory said. "Eva." "Hello, Rory." Silas set a glass down in front of her, ice knocking against the sides. His hazel eyes moved from one woman to the other and back again. He said nothing. He rarely did when he was listening, which was most of the time. "You're in London," Rory said. "Eleven years. You've been very good at not noticing." Eva took the stool beside her without asking and folded her hands on the wood. Her knuckles were pale and perfectly still. "Your mum rang me at Christmas. Said you were riding a bike around Soho for a Chinese restaurant and sleeping over a bar. She didn't say which bar." "She wouldn't know which bar." "She knew the postcode." That stopped Rory. She turned her glass a quarter turn on its mat, then another. "How is she?" "Well enough. She asks after you every time I speak to her." Eva's mouth moved, not quite a smile. "I told her you were busy becoming someone important." "And what did she say?" "That you'd always do things the hard way round, and that's why she loved you." Silas drifted down the bar, wiping a patch of wood that did not need wiping. He stayed close enough to hear and far enough to pretend otherwise. Rory had seen him do it a hundred times with clients and never once with her. "You look like a copper," Rory said. "Close enough." Eva tapped the badge without lifting it. "Hospital liaison. Mostly forms and angry relatives. I've got a daughter. Nell. She's six and she bites." "You've got a kid." "I've got a kid, a husband who thinks I'm the sensible one, and a mortgage in Walthamstow." She paused. "You missed the wedding, Rory." "I know." "I didn't ask if you knew. I said you missed it." Rory drank, and the gin burned all the way down. She could still see the hallway of the flat on Crwys Road the night Eva had rung her in tears, the phone cord stretched taut across the kitchen, Evan's shouting audible even through the receiver. *Come to London. Get out. I'll find you a room.* Rory had gone. She had packed one bag and left the door unlocked, and she had told herself that leaving was the brave part, the part that counted. She had never gone back to see what it cost the person who stayed to explain her absence to everyone who asked. "Did he ever come looking?" Rory said. "Evan?" Eva's gaze went flat and steady, the same look she'd given the boys on the school field when they had called Rory names. "Once. I told him you'd moved to Dublin and had married a surgeon. He believed me because he wanted to. Then he stopped looking." "Eva—" "Don't." She lifted her palm off the bar. "I'm not here to make you feel anything. I wanted to see if you still looked like you were waiting for someone to tell you what you'd done wrong." Rory laughed, short and ugly. "And?" "You do." Eva slid off the stool and pulled her coat tight at the collar. "Nell's got a birthday party Saturday. There's a school hall in Walthamstow with terrible sandwiches and a bouncy castle that smells like feet. You could come. You don't have to bring a present." She didn't wait for an answer. She set a crumpled five-pound note beside the glass, the way she used to pay for chips when they were sixteen and skint, and walked toward the door. The neon flickered as she passed under it, throwing green across her shoulders until the street swallowed her. Silas came back down the bar and looked at the note for a long moment. He picked it up, folded it once, and slid it into the pocket of his waistcoat. "Same again?" he asked. Rory pushed the empty glass toward him and didn't say yes.
created_at"2026-10-08T08:38:21.72Z" 10/8/2026, 8:38:21 AM
model"anthropic/claude-haiku-5.5-20261007"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2480
moderation_latency(null)
generation_time19198
tokens_prompt1063
tokens_completion1558
native_tokens_prompt1550
native_tokens_completion3220
native_tokens_completion_images(null)
native_tokens_reasoning1674
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"
usage0.001765
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791448701-i6UgNWJuDtsTAYhxR3uf"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791448701-e1dqPZEsfPbBi08blsaG"
upstream_id"msg_011CfpU5CbZMEBGepSujnb1o"
provider_responses
0
endpoint_id"b6cdf493-3a61-441f-a134-e7944fddb980"
id"msg_011CfpU5CbZMEBGepSujnb1o"
is_byokfalse
latency762
model_permaslug"anthropic/claude-haiku-5.5-20261007"
provider_name"Claude Platform on AWS"
status200
total_cost0.001765
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"She'd barely [barely]"
dialogueSentences32
tagDensity0.375
leniency0.75
rawRatio0.083
effectiveRatio0.063
87.82% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount821
totalAiIsmAdverbs2
found
0
adverb"very"
count1
1
adverb"perfectly"
count1
highlights
0"very"
1"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)
93.91% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount821
totalAiIsms1
found
0
word"flickered"
count1
highlights
0"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
narrationSentences47
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences47
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences67
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen35
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords10
totalWords821
ratio0.012
matches
0"Come to London. Get out. I'll find you a room."
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions17
unquotedAttributions0
matches(empty)
32.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions30
wordCount554
uniqueNames9
maxNameDensity2.35
worstName"Rory"
maxWindowNameDensity3.5
worstWindowName"Rory"
discoveredNames
Rory13
Nest1
Eva7
Morgan1
Silas4
Crwys1
Road1
Evan1
London1
persons
0"Rory"
1"Nest"
2"Eva"
3"Morgan"
4"Silas"
5"Evan"
places
0"Crwys"
1"Road"
2"London"
globalScore0.327
windowScore0.5
76.47% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences34
glossingSentenceCount1
matches
0"not quite a smile"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount821
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences67
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs32
mean25.66
std25.64
cv0.999
sampleLengths
064
120
282
34
42
543
65
759
85
94
1018
1128
125
1315
1443
157
1626
174
1824
192
2011
21105
228
2347
241
2537
266
2748
2852
2931
304
3111
97.80% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences47
matches
0"was gone"
74.21% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs106
matches
0"was coming"
1"was listening"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences67
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount556
adjectiveStacks0
stackExamples(empty)
adverbCount15
adverbRatio0.02697841726618705
lyAdverbCount4
lyAdverbRatio0.007194244604316547
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences67
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences67
mean12.25
std8.56
cv0.698
sampleLengths
014
116
218
316
420
55
618
722
85
912
1020
113
121
132
1414
1513
163
1713
185
1924
207
2128
225
234
243
2512
263
2719
289
295
3015
3115
3212
3316
347
359
3617
374
3819
395
402
4111
4210
4335
443
452
468
4725
4822
497
68.16% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.4626865671641791
totalSentences67
uniqueOpeners31
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences40
matches(empty)
ratio0
50.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount17
totalSentences40
matches
0"She had come in for"
1"She'd barely settled onto her"
2"She knew the voice the"
3"His hazel eyes moved from"
4"He said nothing."
5"He rarely did when he"
6"Her knuckles were pale and"
7"She turned her glass a"
8"He stayed close enough to"
9"She could still see the"
10"I'll find you a room.*"
11"She had packed one bag"
12"She had never gone back"
13"She lifted her palm off"
14"She didn't wait for an"
15"She set a crumpled five-pound"
16"He picked it up, folded"
ratio0.425
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount37
totalSentences40
matches
0"The green neon above the"
1"The Nest smelled the way"
2"She had come in for"
3"Silas lifted two fingers off"
4"She'd barely settled onto her"
5"Rory didn't turn straight away."
6"She knew the voice the"
7"The long braid was gone."
8"A wedding band sat on"
9"Silas set a glass down"
10"His hazel eyes moved from"
11"He said nothing."
12"He rarely did when he"
13"Eva took the stool beside"
14"Her knuckles were pale and"
15"That stopped Rory."
16"She turned her glass a"
17"Eva's mouth moved, not quite"
18"Silas drifted down the bar,"
19"He stayed close enough to"
ratio0.925
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences40
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences25
technicalSentenceCount0
matches(empty)
83.33% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags12
uselessAdditionCount1
matches
0"Eva's mouth moved, not quite a smile"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount1
fancyTags
0"She'd barely (would)"
dialogueSentences32
tagDensity0.188
leniency0.375
rawRatio0.167
effectiveRatio0.063
82.1459%