Run: 2026-10-08-01M4DAN7CN0JMVBXVKVKWJ2S9S

Run Details

Duration:
19.3s
Cost:
$0.001651
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 rain had turned the pavement on Old Compton Street into a dark mirror, and the green neon above the Raven's Nest stuttered as Rory ducked under the awning. She shook water from her hair, lifted the delivery bag off her shoulder, and pushed through the door before the damp could settle into her bones. Silas glanced up from the taps. He nodded toward the back wall, where the old maps had yellowed to the colour of weak tea, and said nothing. He didn't need to. She knew the rhythm of the place: the clink of glassware, the low murmur of Thursday regulars, the faint smell of woodsmoke that never quite left the upholstery. "Half a pint of whatever's cheapest," she said, sliding onto a stool. "I've got three more drops before I can call it a night." "Cheapest is the Staropramen," Silas said, reaching for a glass. He favoured his left leg as he turned, the way he always did after standing too long. "You look like you've been run through a car wash." "Feels like it." She reached for her phone to check the next order, and that was when the voice reached her from the far end of the bar. It was low and certain, the kind of voice that had once argued with her over the last bag of crisps on a school trip to Barry Island. "Still can't sit with your back to the room, I see." Rory turned slowly. A woman in a camel coat sat three stools down, one hand curled around a glass of sparkling water with a wedge of lime. Her hair had been cropped short and expensive, tucked behind one ear. A thin gold band caught the neon. "Eva." "Hello, Rory." Rory didn't move. She had imagined this moment a dozen times over the years, always in the wrong places: a supermarket queue, a train platform, a hospital corridor. Never in a bar she had chosen partly because nobody from Cardiff would ever think to look for her in Soho. "You cut your hair," Rory said. "You cut contact." Eva's smile was thin, controlled. "I think we're even on the haircut." Silas set the pint down in front of Rory without a word, but his gaze moved between the two women with the careful attention of a man who had spent decades reading rooms. He drifted to the other end of the bar and found something to polish. Rory picked up the glass and didn't drink. "You look well." "I look like someone who sells software to people who don't read the contracts. Which is what I do, now. Four years in Canary Wharf, a flat with a view of a bin lorry, and a husband called Tom who thinks Welsh rugby is a personality." Eva turned her glass in a slow circle. "He's at home. I told him I was getting a drink with an old friend. He asked which one. I said you'd know." "Did you tell him about Evan?" The name landed on the bar between them like something dropped from a height. Eva's shoulders tightened, just slightly, and then she set her glass down with deliberate care. "Yes," she said. "Once I'd stopped being sick about it." Rory stared at the foam slowly collapsing on her beer. "I'm sorry." "You're sorry." Eva laughed, but there was no warmth in it. "He came round to my mum's house twice after you left. Did you know that? Stood on the step at two in the morning shouting through the letterbox. Said you'd taken something of his. Mum called the police, and he had the nerve to look wounded when they walked him to the car." "I didn't know." "No. You didn't ask." Eva's voice didn't rise. It sharpened. "You sent me one postcard. A picture of Big Ben. 'Made it, don't worry about me, love you.' I read it about four hundred times trying to work out what you meant by 'don't worry.'" Rory's throat tightened. She pressed her left wrist against the edge of the bar, feeling the thin ridge of the crescent scar beneath her sleeve, the old reminder she had never bothered to hide. "I thought if I stopped talking to anyone from home, he'd lose interest. I thought I was protecting you." "Protecting me." Eva shook her head slowly. "You know what I did while you were protecting me? I learned to check the locks twice. I changed my route home. I stopped answering the door after dark. And when I finally stopped being afraid to leave the house, I got a job in London so I could be close to the one person who'd made me feel safe, and found out she'd changed her number." The Staropramen had gone flat. Rory pushed it an inch away, as if distance could make it cheaper. Along the wall, a black-and-white photograph of a fishing boat in some forgotten harbour seemed to lean closer to the light. "I should have called," Rory said. "Yes." "I should have come back." "Yes." Eva picked up her water again, but didn't drink. "Are you going to tell me why you didn't?" Rory opened her mouth. Nothing came out. The truth had too many edges. It involved a flat above a bar, a delivery van full of Golden Empress takeaway, and a life she had built out of nothing and was still afraid to lose. It involved a version of herself she hadn't wanted Eva to see. Eva watched her for a long moment, then nodded, as though Rory had answered after all. "Right," Eva said quietly. "Right."
created_at"2026-10-08T08:39:11.521Z" 10/8/2026, 8:39:11 AM
model"anthropic/claude-haiku-5.5-20261007"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency19223
moderation_latency(null)
generation_time19223
tokens_prompt1063
tokens_completion1281
native_tokens_prompt1550
native_tokens_completion2992
native_tokens_completion_images(null)
native_tokens_reasoning1259
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"
usage0.001651
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791448751-uO0h4TRRFaeC90kz3W1i"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791448751-cA05v81fENpltwzoYQh4"
upstream_id"msg_011CfpU8sUUgT38VMwmUkEjF"
provider_responses
0
endpoint_id"b6cdf493-3a61-441f-a134-e7944fddb980"
id"msg_011CfpU8sUUgT38VMwmUkEjF"
is_byokfalse
latency817
model_permaslug"anthropic/claude-haiku-5.5-20261007"
provider_name"Claude Platform on AWS"
status200
total_cost0.001651
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
totalTags11
adverbTagCount1
adverbTags
0"Eva said quietly [quietly]"
dialogueSentences33
tagDensity0.333
leniency0.667
rawRatio0.091
effectiveRatio0.061
78.68% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount938
totalAiIsmAdverbs4
found
0
adverb"slowly"
count3
1
adverb"slightly"
count1
highlights
0"slowly"
1"slightly"
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)
89.34% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount938
totalAiIsms2
found
0
word"warmth"
count1
1
word"reminder"
count1
highlights
0"warmth"
1"reminder"
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
narrationSentences46
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences46
filterMatches(empty)
hedgeMatches
0"seemed to"
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
maxSentenceWordsSeen67
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords938
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions15
unquotedAttributions0
matches(empty)
46.55% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions38
wordCount580
uniqueNames16
maxNameDensity2.07
worstName"Rory"
maxWindowNameDensity3.5
worstWindowName"Eva"
discoveredNames
Old1
Compton1
Street1
Raven1
Nest1
Rory12
Thursday1
Silas3
Barry1
Island1
Cardiff1
Soho1
Eva10
Staropramen1
Golden1
Empress1
persons
0"Raven"
1"Nest"
2"Rory"
3"Silas"
4"Eva"
5"Staropramen"
places
0"Old"
1"Compton"
2"Street"
3"Barry"
4"Island"
5"Cardiff"
6"Soho"
globalScore0.466
windowScore0.5
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences31
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount938
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
totalParagraphs33
mean28.42
std23.71
cv0.834
sampleLengths
055
159
224
337
43
553
611
746
81
92
1049
116
1215
1347
1411
1577
166
1729
1810
1912
2064
213
2245
2353
2474
2539
266
271
285
2919
3055
3116
325
97.64% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences46
matches
0"been cropped"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs95
matches(empty)
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
wordCount582
adjectiveStacks0
stackExamples(empty)
adverbCount21
adverbRatio0.03608247422680412
lyAdverbCount6
lyAdverbRatio0.010309278350515464
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
mean14
std13.25
cv0.946
sampleLengths
029
126
26
321
44
528
612
712
810
917
1010
113
1225
1328
1411
153
1624
1712
187
191
202
213
2225
2321
246
258
267
2733
2814
298
303
3154
3223
336
3414
3515
363
377
3810
392
4011
4153
423
438
442
4535
463
4731
4819
497
58.71% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.3880597014925373
totalSentences67
uniqueOpeners26
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences42
matches(empty)
ratio0
86.67% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount14
totalSentences42
matches
0"She shook water from her"
1"He nodded toward the back"
2"He didn't need to."
3"She knew the rhythm of"
4"she said, sliding onto a"
5"He favoured his left leg"
6"She reached for her phone"
7"It was low and certain,"
8"Her hair had been cropped"
9"She had imagined this moment"
10"He drifted to the other"
11"She pressed her left wrist"
12"It involved a flat above"
13"It involved a version of"
ratio0.333
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount40
totalSentences42
matches
0"The rain had turned the"
1"She shook water from her"
2"Silas glanced up from the"
3"He nodded toward the back"
4"He didn't need to."
5"She knew the rhythm of"
6"she said, sliding onto a"
7"Silas said, reaching for a"
8"He favoured his left leg"
9"She reached for her phone"
10"It was low and certain,"
11"Rory turned slowly."
12"A woman in a camel"
13"Her hair had been cropped"
14"A thin gold band caught"
15"Rory didn't move."
16"She had imagined this moment"
17"Eva's smile was thin, controlled"
18"Silas set the pint down"
19"He drifted to the other"
ratio0.952
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences42
matches(empty)
ratio0
77.92% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences22
technicalSentenceCount2
matches
0"It was low and certain, the kind of voice that had once argued with her over the last bag of crisps on a school trip to Barry Island."
1"Silas set the pint down in front of Rory without a word, but his gaze moved between the two women with the careful attention of a man who had spent decades read…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags11
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags7
fancyCount1
fancyTags
0"Eva laughed (laugh)"
dialogueSentences33
tagDensity0.212
leniency0.424
rawRatio0.143
effectiveRatio0.061
84.5166%