Run: 2026-10-08-01M4DA1CQFTQVSQQ2WVBXTY9J9

Run Details

Duration:
20.4s
Cost:
$0.001767
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 hum that settled in the back of the teeth, and Rory pushed through under it with rain sliding off her hood. Thursday, late. The bar held its usual Soho crowd: a table of sound engineers squabbling over a mixing desk, a couple sitting close and not touching. She took the stool at the far end, where the old maps curled at their corners and she could see the bookshelf that hid the back room. Silas lifted a hand from behind the bar without looking up from the lemon he was cutting. "Usual?" "Something that doesn't taste like the Golden Empress's kitchen." "Then you'll have the Scotch." He set the glass down, the silver ring on his right hand catching the light, and shifted his weight off the bad knee. "Someone just came in behind you. Thought you'd want the warning." She turned on the stool. Owen Pryce stood on the mat with water pooling at the toes of his shoes. His overcoat was charcoal wool, cut close, the sort of coat that had never once been left on a bus seat. His hair had gone short at the sides and thin at the crown. He used to wear it in his eyes, and he used to shout across the Cardiff docks with his whole chest, and he used to be the first one in the water at every party on the Bay. Now he held the door handle like he wasn't sure whether he was allowed to let go. "Rory." "You're dripping on Silas's floor." He glanced down, then back up, and something in his face gave way for half a second before he got it back under control. "Still got the same mouth on you." "Still got the same timing, I see. Walk in on the one night I've had a bad shift." He came over slowly, and the sound engineers went quiet for a moment, the way a room does when somebody drops a tray. Owen took the stool two down from her and didn't sit straight. He hunched over the bar as if the stool was too tall for him. "Eva's cousin said you were in London," he said. "Said you'd dropped out of the course. Said you were riding a bike around Chinatown with food in a box on your back." "Delivery. Part-time. I'm not dropping anything in the Thames, if that's what she's been telling people." "I didn't think that." He almost smiled. "I never thought that." Silas slid a glass of something amber toward Owen without being asked, then went down the bar to polish a row of tumblers that did not need polishing. Rory watched him go. He was giving them room, the way he gave everyone room, and she resented it a little for being so good at it. "You look different," she said. "I'm a solicitor now. Conveyancing, mostly. Houses, boundaries, who's allowed to put a fence where." He turned the glass. "I haven't had a drink since March. That's the other thing you'd notice, if you were looking." "I wasn't looking." "No. You weren't." The bar went on around them. Someone called for a bottle of prosecco. The neon hummed. "How's your mum?" Rory asked. Owen's jaw worked. "She's gone. Two winters ago. Chest, in the end." He drank, and set the glass down with great care. "I was going to tell you. I wrote you a letter. Care of Eva's, because you'd changed your number again." "I got it." "Did you read it?" "I read it." "And?" She looked at the maps on the wall, at the faded coastline of some country she'd never visited. "And I didn't write back, Owen. That's the answer. You know what it is." "I was hoping you'd tell me it was a different one." "You were hoping I'd come back to Cardiff. Both of us in the car at four in the morning, the way we'd planned, the way you swore we'd do after the exams." She heard her own voice tighten and let it. "I had a flat in Stockwell and a bag of clothes and a ticket for the morning train, and you had your father's car keys and a hospital corridor. I went. You stayed. Neither of us was wrong, and that's exactly why it's shite to think about." He nodded slowly, like a man accepting a summons. "I used to think you left because you were angry with me." "I left because I was frightened of who I'd turn into if I stayed in that town with my name on a list of things I was supposed to become." She picked up her Scotch, found her hand was steady, and was almost annoyed by it. "Turns out I was right about that, at least. Just not in the way I'd planned." Owen looked at her then, really looked, the way he used to when they were fifteen and she had told him something that frightened her. Some of the coldness left his shoulders. "Are you happy?" he asked. Rory considered lying. She could feel the shape of the lie sitting ready in her mouth, neat and easy, the kind of answer that closed a conversation. Across the bar, Silas had stopped polishing. He was watching the mirror, not them, which was its own kind of courtesy. "Ask me again in a year," she said.
created_at"2026-10-08T08:28:21.624Z" 10/8/2026, 8:28:21 AM
model"anthropic/claude-haiku-5.5-20261007"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency20383
moderation_latency(null)
generation_time20383
tokens_prompt1063
tokens_completion1214
native_tokens_prompt1550
native_tokens_completion3225
native_tokens_completion_images(null)
native_tokens_reasoning1605
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"
usage0.0017675
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791448101-iAecMwVuadp5aHygNhkJ"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791448101-IUuPVF14my04fVQmIp6M"
upstream_id"msg_011CfpTJxdwr4QE6Bo59LVCf"
provider_responses
0
endpoint_id"b6cdf493-3a61-441f-a134-e7944fddb980"
id"msg_011CfpTJxdwr4QE6Bo59LVCf"
is_byokfalse
latency729
model_permaslug"anthropic/claude-haiku-5.5-20261007"
provider_name"Claude Platform on AWS"
status200
total_cost0.0017675
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
adverbTagCount0
adverbTags(empty)
dialogueSentences34
tagDensity0.294
leniency0.588
rawRatio0
effectiveRatio0
83.48% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount908
totalAiIsmAdverbs3
found
0
adverb"slowly"
count2
1
adverb"really"
count1
highlights
0"slowly"
1"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)
88.99% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount908
totalAiIsms2
found
0
word"weight"
count1
1
word"could feel"
count1
highlights
0"weight"
1"could feel"
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
narrationSentences41
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences41
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences64
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen47
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords908
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions8
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions17
wordCount542
uniqueNames8
maxNameDensity0.92
worstName"Owen"
maxWindowNameDensity2
worstWindowName"Owen"
discoveredNames
Rory4
Soho1
Pryce1
Cardiff1
Bay1
Silas3
Owen5
Scotch1
persons
0"Rory"
1"Pryce"
2"Silas"
3"Owen"
4"Scotch"
places
0"Soho"
1"Cardiff"
globalScore1
windowScore1
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
wordCount908
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences64
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs35
mean25.94
std26.69
cv1.029
sampleLengths
087
118
29
339
45
5104
61
75
831
918
1049
1132
1216
1311
1455
155
1636
173
183
1916
205
2142
223
234
243
251
2632
2711
2888
2921
3062
3132
325
3348
348
79.59% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences41
matches
0"been left"
1"was allowed"
2"being asked"
58.16% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs94
matches
0"was giving"
1"was watching"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences64
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount542
adjectiveStacks0
stackExamples(empty)
adverbCount15
adverbRatio0.027675276752767528
lyAdverbCount3
lyAdverbRatio0.005535055350553505
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences64
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences64
mean14.19
std11.11
cv0.783
sampleLengths
034
12
224
327
417
51
69
728
811
95
1015
1121
1213
1338
1417
151
165
1724
187
1918
2023
2112
2214
239
2423
2516
267
274
2828
294
3023
315
3219
3317
343
353
366
377
383
395
403
4119
4220
433
444
453
461
4718
4814
4911
61.98% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.4375
totalSentences64
uniqueOpeners28
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences35
matches(empty)
ratio0
2.86% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount19
totalSentences35
matches
0"She took the stool at"
1"He set the glass down,"
2"She turned on the stool."
3"His overcoat was charcoal wool,"
4"His hair had gone short"
5"He used to wear it"
6"He glanced down, then back"
7"He came over slowly, and"
8"He hunched over the bar"
9"He almost smiled"
10"He was giving them room,"
11"He turned the glass"
12"He drank, and set the"
13"She looked at the maps"
14"She heard her own voice"
15"He nodded slowly, like a"
16"She picked up her Scotch,"
17"She could feel the shape"
18"He was watching the mirror,"
ratio0.543
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount33
totalSentences35
matches
0"The green neon above the"
1"The bar held its usual"
2"She took the stool at"
3"Silas lifted a hand from"
4"He set the glass down,"
5"She turned on the stool."
6"Owen Pryce stood on the"
7"His overcoat was charcoal wool,"
8"His hair had gone short"
9"He used to wear it"
10"He glanced down, then back"
11"He came over slowly, and"
12"Owen took the stool two"
13"He hunched over the bar"
14"He almost smiled"
15"Silas slid a glass of"
16"Rory watched him go."
17"He was giving them room,"
18"He turned the glass"
19"The bar went on around"
ratio0.943
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences35
matches
0"Now he held the door"
ratio0.029
67.67% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences19
technicalSentenceCount2
matches
0"The green neon above the door buzzed the way it always did, a hum that settled in the back of the teeth, and Rory pushed through under it with rain sliding off …"
1"Silas slid a glass of something amber toward Owen without being asked, then went down the bar to polish a row of tumblers that did not need polishing."
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)
dialogueSentences34
tagDensity0.147
leniency0.294
rawRatio0
effectiveRatio0
84.7573%