Run: 2026-10-08-01M4DA7ZSAABKTPPPAQKXKF9WF

Run Details

Duration:
23.6s
Cost:
$0.002083
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 tired hum, the R in RAVEN stuttering like it had something to hide. Rory ducked beneath it with the cold clinging to her shoulders and the Golden Empress delivery bag still slung across her chest. The noodles inside had gone lukewarm twenty minutes ago. She should have climbed the stairs to the flat above the bar. Instead she took the stool at the far end of the counter, where the wood had been worn pale by a thousand elbows. Silas glanced up from the glass he was drying. He said nothing. He tilted his head toward the taps, the way he always did, and she shook hers. He went back to polishing, the silver signet ring catching the light on his right hand as he worked. She heard the laugh before she saw who it belonged to. It rose from the booth beneath the faded maps of the Western Front, starting low and climbing until it cracked at the top. Rory knew that laugh. She had heard it through a bedroom wall in Canton, across a playing field in Ely, and over the crackle of a phone line at two in the morning, years ago, when it had been the only sound she trusted. She turned on the stool. Eva sat with her back to the wall, a glass of something clear in front of her and a camel coat folded on the seat beside her like a second guest. The hair that used to hang past her shoulders in tangled ropes had been cropped close to her jaw and dyed a shade of dark honey. The freckles across her nose had been covered by something expensive. Only the mouth remained the same, wide and ready to say the thing nobody else would. Rory considered leaving. Her body had already made the decision, shifting toward the door, but her feet refused to follow. Eva looked up. The laugh died mid-climb. "Well," Eva said. "Bloody hell." "Eva." "Rory Carter. In a delivery jacket." Her eyes dropped to the bag, then travelled back up with a slow, deliberate care. "Please tell me that's not for Yu-Fei." "Part-time." "Part-time." Eva laughed again, shorter this time, and tapped the rim of her glass with one nail. "Of course it is. Still too clever to be content and too proud to ask anyone for a loan." Rory crossed the room. The floorboards creaked under her boots in the same spot they always had. She stopped at the edge of the booth and found she had no idea what to do with her hands, so she gripped the strap of the bag. "You look—" She didn't finish. The word she wanted was not one she could say in a bar where Silas was within earshot, and the word she had ready was too kind to be honest. "Older?" Eva lifted her left hand. A thin gold band caught the green glow from the window. "Sober, which you'll note I'm drinking water to prove. Married, to a man who owns three dentists in Surrey and calls me *darling* in front of his mother. Don't look so horrified. You're allowed to be happy for me." "I'm not horrified." "You've got the face. The one you pulled when Mrs. Pritchard caught us on the chapel wall with a bottle of her brother's Bell's." "You pushed me off the wall." "I pushed you off the wall because you were laughing so hard you were going to fall anyway." Eva's voice softened by a degree, just one. "Sit down, Rory. You're making the place look untidy." Rory sat. The vinyl of the booth gave under her weight with a sigh. Up close, Eva's face held lines Rory had never seen, faint grooves beside her mouth and between her brows, the marks of someone who had spent a long time keeping her expression level. "I should have rung," Rory said. "You should have." Eva turned her glass in a slow circle on the table. "I rang you on your birthday. I rang the week after the wedding that didn't happen. I rang the night your mum's card arrived with that pressed daffodil in it, the one you never answered. Four years, Rory." "Three and a half." "Oh, well, if we're counting in halves." The sharpness returned, but it came without heat now, like something tired of its own edge. "I'm not doing this to make you feel guilty. I'm doing it because I'm the only one in this city who knows the exact shade of your voice when you're lying, and you're doing it right now." Rory opened her mouth. Nothing useful came out. Across the room, Silas set a tumbler of sparkling water on the bar, moved it toward the booth with two fingers, and turned away without comment. His left leg dragged a fraction on the way back to the taps, the old injury showing in the hitch of his stride. He didn't look at them. He didn't need to. "He's still here, then," Eva said. "Your Silas. Still looks like he's about to arrest someone for parking badly." "He's my landlord." "He's your something." Eva's gaze settled on Rory's face with the same unhurried attention she used to give a crossword clue. "You're living above a bar, carrying takeaway across Soho in the rain, and you won't even tell me what's wrong with your hands." Rory looked down. Her fingers were clenched around the strap so hard the knuckles had gone white. She made them open, one at a time, and laid her palms flat on the table between the two glasses. "It's nothing," she said. Eva said nothing at all, and the silence stretched between them, filled with the hiss of the radiator and the murmur of a couple arguing quietly by the door.
created_at"2026-10-08T08:31:57.749Z" 10/8/2026, 8:31:57 AM
model"anthropic/claude-haiku-5.5-20261007"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency23526
moderation_latency(null)
generation_time23526
tokens_prompt1063
tokens_completion1330
native_tokens_prompt1550
native_tokens_completion3857
native_tokens_completion_images(null)
native_tokens_reasoning2070
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"
usage0.0020835
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791448317-BZaEM3WPAqn51KCHDQj6"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791448317-BaV712aVaAXCIqjnEpKZ"
upstream_id"msg_011CfpTau8Yy9hLcEH7jZjpi"
provider_responses
0
endpoint_id"b6cdf493-3a61-441f-a134-e7944fddb980"
id"msg_011CfpTau8Yy9hLcEH7jZjpi"
is_byokfalse
latency856
model_permaslug"anthropic/claude-haiku-5.5-20261007"
provider_name"Claude Platform on AWS"
status200
total_cost0.0020835
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 laughed again [again]"
dialogueSentences28
tagDensity0.393
leniency0.786
rawRatio0.091
effectiveRatio0.071
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount974
totalAiIsmAdverbs0
found(empty)
highlights(empty)
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)
89.73% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount974
totalAiIsms2
found
0
word"weight"
count1
1
word"silence"
count1
highlights
0"weight"
1"silence"
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
narrationSentences52
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences52
filterMatches(empty)
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
maxSentenceWordsSeen40
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords1
totalWords974
ratio0.001
matches
0"darling"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions11
unquotedAttributions0
matches(empty)
50.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions30
wordCount693
uniqueNames9
maxNameDensity1.59
worstName"Eva"
maxWindowNameDensity3.5
worstWindowName"Eva"
discoveredNames
Golden1
Empress1
Western1
Front1
Canton1
Ely1
Eva11
Rory10
Silas3
persons
0"Eva"
1"Rory"
2"Silas"
places
0"Canton"
1"Ely"
globalScore0.706
windowScore0.5
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences33
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount974
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences69
matches
0"knew that laugh"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs32
mean30.44
std25.41
cv0.835
sampleLengths
087
147
278
35
484
520
67
75
81
928
101
1136
1247
1333
1456
153
1624
176
1835
1947
206
2152
224
2360
248
2558
2619
273
2844
2937
304
3129
78.27% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences52
matches
0"been worn"
1"been cropped"
2"been covered"
3"were clenched"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs109
matches
0"was drying"
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
wordCount694
adjectiveStacks0
stackExamples(empty)
adverbCount17
adverbRatio0.024495677233429394
lyAdverbCount4
lyAdverbRatio0.005763688760806916
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
mean14.12
std10.84
cv0.768
sampleLengths
021
122
29
312
423
59
63
716
819
911
1023
114
1240
135
1431
1526
1611
1716
183
1917
203
214
223
232
241
2521
267
271
2817
2919
304
3113
3228
332
343
3530
366
3711
3839
393
4024
416
4226
439
442
4512
4633
476
4814
4938
54.59% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats9
diversityRatio0.4057971014492754
totalSentences69
uniqueOpeners28
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences47
matches
0"Instead she took the stool"
1"Only the mouth remained the"
ratio0.043
75.32% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount17
totalSentences47
matches
0"She should have climbed the"
1"He said nothing."
2"He tilted his head toward"
3"He went back to polishing,"
4"She heard the laugh before"
5"It rose from the booth"
6"She had heard it through"
7"She turned on the stool."
8"Her body had already made"
9"Her eyes dropped to the"
10"She stopped at the edge"
11"She didn't finish."
12"His left leg dragged a"
13"He didn't look at them."
14"He didn't need to."
15"Her fingers were clenched around"
16"She made them open, one"
ratio0.362
2.55% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount43
totalSentences47
matches
0"The green neon above the"
1"Rory ducked beneath it with"
2"The noodles inside had gone"
3"She should have climbed the"
4"Silas glanced up from the"
5"He said nothing."
6"He tilted his head toward"
7"He went back to polishing,"
8"She heard the laugh before"
9"It rose from the booth"
10"Rory knew that laugh."
11"She had heard it through"
12"She turned on the stool."
13"Eva sat with her back"
14"The hair that used to"
15"The freckles across her nose"
16"Rory considered leaving."
17"Her body had already made"
18"Eva looked up."
19"The laugh died mid-climb."
ratio0.915
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences47
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences25
technicalSentenceCount1
matches
0"Up close, Eva's face held lines Rory had never seen, faint grooves beside her mouth and between her brows, the marks of someone who had spent a long time keepin…"
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
totalTags5
fancyCount1
fancyTags
0"Eva laughed again (laugh)"
dialogueSentences28
tagDensity0.179
leniency0.357
rawRatio0.2
effectiveRatio0.071
88.3489%