Run: 2026-10-08-01M4E0G4J0AR5MR3CDZD4H05TK

Run Details

Duration:
15.4s
Cost:
$0.001307
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 the way it always did, a half-second stutter before it steadied, and Rory watched it through the window while she waited for Silas to pour her second whisky. Rain had flattened Soho's pavements into mirrors. Somewhere behind her a cab hissed through a puddle. "You're staring at the sign again," Silas said, setting the glass on a coaster with a precision that suggested he had once been paid to notice where things sat. "It's not going to fix itself." "It's fine. It's the only thing in this place that still looks like it's trying." He huffed, which from Silas counted as laughter, and limped off down the bar toward the taps. The bookshelf at the back of the room stood where it always stood, crammed with spines nobody read, and the old maps on the walls kept their silent watch over the regulars. Rory had been coming here for three years and had learned not to ask which of the photographs were real. The door opened. Cold air came in first, then a woman shaking water from a camel coat, and Rory's hand went still around the glass before her mind caught up with the rest of her. Eva had cut her hair. The long dark plait that had hung down her back through every school photo Rory owned now stopped at the jaw, bleached the colour of old piano keys, sharp enough to look deliberate. She wore the coat like armour. Her left hand, when she pushed the door shut behind her, held no ring, and the absence registered with Rory faster than she wanted it to. Eva saw her in the mirror behind the optics. Their eyes met in the glass, and for a long second neither of them moved. "Well," Eva said, turning around. "Of all the bars in London." "You're not supposed to be in London." "Neither are you, apparently. Last I heard, you were in a flat above a bar and too busy to answer your phone." Rory took a sip she did not want. "Who told you that?" "Your mum. She rang me on my birthday. Thought I'd want to know my best friend had vanished into the city and left her a voicemail about the weather." Eva slid onto the stool two down, deliberately not the one beside her. "Is this the place? The one with the neon?" "You found it without a map." "I found it because the bloke at the station asked if I was lost, and I said I was looking for a green sign, and he said the Nest, love, everyone knows the Nest." Eva tapped the bar twice with a nail painted black. "I didn't know everyone knew it. That's a bit depressing." Silas came back down the bar, took one look at Eva, and set a glass of soda water in front of her without asking. She eyed it. "I didn't order that." "You look like you'll need to drive later," Silas said. "I'm Silas. I own the place. Rory's the only one who pays her tab on time, so you'll forgive me if I'm fond of her." "You're fond of me because I carry your deliveries up the stairs," Rory said. "That too." Eva lifted the soda water and studied Rory over the rim. "You have the flat above here?" "Three rooms and a radiator that only works when it feels like it." "You always said you'd end up somewhere with a view of something other than a wall." "I said a lot of things." "You did." Eva put the glass down. Her voice flattened, the way it used to when she was about to say something she had rehearsed on the train. "You said you'd come back for the summer. You said you'd come back for Christmas. Then you said you'd come back when things were sorted, and I stopped asking what sorted meant." Silas moved to the far end of the bar and became very interested in a lemon. Rory turned her glass in a slow circle. The ring it left on the wood was faint and pale. "I didn't know how to come back and not drag everything behind me." "Everything being him?" "Everything being all of it." Rory lifted her gaze. "You're the one who put me on the train, Eva. You're the one who said get out or he'll finish what he started. I got out. I didn't realise I'd have to keep getting out." Eva's mouth tightened. For a moment she looked exactly like the girl who had once climbed the wall behind the primary school to retrieve Rory's lost hat and come down with bloody knees and no apology. Then the look was gone, and the woman in the camel coat was back. "I didn't put you on the train for you to disappear," she said quietly. "I put you on it so you'd still be somewhere I could find you." "You found me." "Took me three years and a cab driver with a good memory." Rory laughed, and it surprised her, a short rusty sound that made the man at the corner table glance up from his newspaper. "You haven't changed at all." "Liar." Eva's fingers went to the bare place on her hand, then stopped, as though she had caught herself at something. "I've changed a lot. You just weren't here to see it." The neon outside buzzed and steadied again. Rory looked at the stranger in the glass behind the bottles, her own reflection overlaid with the bleached-blonde edge of her friend's new haircut, and found she could not decide which of them she was supposed to recognise.
created_at"2026-10-08T15:00:53.451Z" 10/8/2026, 3:00:53 PM
model"anthropic/claude-haiku-5.5-20261007"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2502
moderation_latency(null)
generation_time15376
tokens_prompt1063
tokens_completion1494
native_tokens_prompt1550
native_tokens_completion2304
native_tokens_completion_images(null)
native_tokens_reasoning639
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"
usage0.001307
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791471653-eh4FgslgbXvTtZ4ee7fa"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791471653-HvXR9FkU6rAYat9kJU66"
upstream_id"msg_011CfpyF4zKZnQKF6c7BBUUJ"
provider_responses
0
endpoint_id"b6cdf493-3a61-441f-a134-e7944fddb980"
id"msg_011CfpyF4zKZnQKF6c7BBUUJ"
is_byokfalse
latency909
model_permaslug"anthropic/claude-haiku-5.5-20261007"
provider_name"Claude Platform on AWS"
status200
total_cost0.001307
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
totalTags10
adverbTagCount1
adverbTags
0"she said quietly [quietly]"
dialogueSentences35
tagDensity0.286
leniency0.571
rawRatio0.1
effectiveRatio0.057
89.46% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount949
totalAiIsmAdverbs2
found
0
adverb"deliberately"
count1
1
adverb"very"
count1
highlights
0"deliberately"
1"very"
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)
100.00% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount949
totalAiIsms0
found(empty)
highlights(empty)
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
narrationSentences38
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences38
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences63
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen44
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords949
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions12
unquotedAttributions0
matches(empty)
32.88% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions30
wordCount555
uniqueNames4
maxNameDensity2.34
worstName"Rory"
maxWindowNameDensity4
worstWindowName"Eva"
discoveredNames
Rory13
Silas6
Soho1
Eva10
persons
0"Rory"
1"Silas"
2"Eva"
places
0"Soho"
globalScore0.329
windowScore0.333
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences28
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount949
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences63
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs35
mean27.11
std19.38
cv0.715
sampleLengths
051
135
215
369
435
570
624
711
87
922
1012
1151
126
1354
1427
154
1635
1714
182
1917
2013
2116
226
2360
2416
2532
263
2744
2850
2928
303
3112
3228
3332
3445
77.56% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences38
matches
0"been paid"
1"was gone"
2"was supposed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs97
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences63
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount557
adjectiveStacks0
stackExamples(empty)
adverbCount16
adverbRatio0.02872531418312388
lyAdverbCount3
lyAdverbRatio0.005385996409335727
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences63
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences63
mean15.06
std11.03
cv0.732
sampleLengths
035
17
29
329
46
515
617
732
820
93
1032
115
1233
136
1426
159
1615
175
186
197
2022
218
224
2342
249
256
2644
2710
2824
293
304
3110
3225
3314
342
3511
366
3713
3816
396
407
4121
4232
4316
448
4511
4613
473
489
4935
65.08% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.42857142857142855
totalSentences63
uniqueOpeners27
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences36
matches
0"Somewhere behind her a cab"
1"Then the look was gone,"
ratio0.056
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount7
totalSentences36
matches
0"He huffed, which from Silas"
1"She wore the coat like"
2"Her left hand, when she"
3"Their eyes met in the"
4"She eyed it."
5"Her voice flattened, the way"
6"she said quietly"
ratio0.194
15.56% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount32
totalSentences36
matches
0"The green neon above the"
1"Rain had flattened Soho's pavements"
2"Silas said, setting the glass"
3"He huffed, which from Silas"
4"The bookshelf at the back"
5"Rory had been coming here"
6"The door opened."
7"Eva had cut her hair."
8"The long dark plait that"
9"She wore the coat like"
10"Her left hand, when she"
11"Eva saw her in the"
12"Their eyes met in the"
13"Eva said, turning around"
14"Rory took a sip she"
15"Eva slid onto the stool"
16"Eva tapped the bar twice"
17"Silas came back down the"
18"She eyed it."
19"Eva lifted the soda water"
ratio0.889
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences36
matches(empty)
ratio0
58.82% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences17
technicalSentenceCount2
matches
0"The long dark plait that had hung down her back through every school photo Rory owned now stopped at the jaw, bleached the colour of old piano keys, sharp enoug…"
1"Rory laughed, and it surprised her, a short rusty sound that made the man at the corner table glance up from his newspaper."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags10
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount0
fancyTags(empty)
dialogueSentences35
tagDensity0.143
leniency0.286
rawRatio0
effectiveRatio0
87.9789%