Run: 2026-10-08-01M4DAK0EMF2KQ2XSNZJJ541WQ

Run Details

Duration:
21.8s
Cost:
$0.001862
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
Rory had her back to the door when the bell above it rang, so she heard the voice before she saw the face. "Still drinking gin like it owes you money?" She turned on the stool. Eva Hughes stood under the green neon glow, one hand gripping the strap of a leather messenger bag, the other holding a set of car keys she had clearly meant to pocket. Her hair had been long and wild at seventeen, a cheap copper dye that bled onto every pillowcase at every sleepover in Llandaff. Now it was cropped close to her skull, and the grey at her temples looked deliberate. She wore a navy wool coat that probably cost more than Rory's share of the flat. "Eva." "Don't look like that. You look like you've seen a ghost in a dodgy wig." Eva crossed the floorboards, stopped a step short of the bar, and didn't reach for her. "Is this seat taken?" "It's yours if you want it." Eva sat. She set the keys on the wood between them, squared them against the edge, and folded her hands over the bag. Behind the bar, Silas Blackwood set a short glass of tonic in front of her without being asked. He didn't look up from the lime he was slicing. He never looked up when something mattered. He only ever looked up when the till was wrong. "Thanks, Si," Eva said. "You two know each other?" Silas asked, and Rory caught the faint limp in his step as he moved back along the shelves. "Since we were six," Rory said. "She once bit a boy called Gareth for calling me Carter the Farter." "He had it coming." "He had a lisp and a bike with no brakes. I'd say he was punished enough." Eva laughed. It was the same laugh, low and surprised at itself, and it hit Rory somewhere under the ribs. Then the laugh faded, and Eva turned the tonic glass a quarter turn on its coaster. "Nine years, Rory." "Eight and a bit." "Nine. I did the maths on the train." Eva lifted her eyes. "You could have sent a postcard. A card with a sheep on it. Anything." Rory drank her gin. It was the good stuff, Silas's stuff, and it burned in a way she had almost forgotten. "I sent you a Christmas card." "You sent a card with a robin on it and no return address. I know it was from London because the stamp said so." Eva gave a short, tight smile. "I wrote back to every postmark I could find. Then I stopped." "I know." "How would you know?" "Because you stopped writing and I stopped reading the ones I'd kept." Rory set the glass down. "That was the easiest thing I've ever done, Eva, and I'm not proud of it." Silas moved to the far end of the bar and began wiping a section of wood that was already clean. He had the sense to give them room, which was more than most people in Soho managed. Eva looked at the rows of bottles, at the old maps framed on the brick wall, at the faded black-and-white photographs of men in overcoats who had clearly never been photographed for pleasure. "Is this where you live now?" "Above it. Flat at the top of the stairs." "Working for him?" "Delivering. Yu-Fei's place on Wardour Street. Noodles and bad news, mostly." "And that's the whole of you." Eva's voice didn't rise. It thinned. "You work in a Chinese restaurant, you drink in a bar with no name on the menu, and you disappear for nine years." "It has a name. It's called the Raven's Nest." "Rory." "What?" "Don't do the thing where you make a joke so I'm the one who looks silly for asking." Rory breathed out through her nose. She had been doing that thing since she was fifteen. Her mother used to call it deflecting, in the voice she reserved for essays and missed buses. "What do you want me to say?" "I wanted you at my mum's funeral." The words sat between them, heavy as the keys. "I know." "I stood at the front of St Teilo's and looked at the back doors every single time someone opened them. Dad kept telling me to stop. He said you'd come if you could. He said you'd always been a bit of a runner." Eva's mouth twisted. "I thought he was being kind. He wasn't. He was being accurate." Rory's hands went flat on the bar. The little crescent scar on her left wrist caught the green light, pale and old. She pressed her thumb against it without meaning to, the way she always did when she wanted something to hold on to. "Evan was looking for me," she said. "Three months after I left Cardiff, he turned up at Mam's door. Mam told him I was dead. Dad told him to get off the step. I didn't know what I'd bring to the funeral. I didn't know who would be in the pews. I thought if I came back, I'd bring him with me." "And instead you brought nothing." "Instead I brought nothing." Eva picked up the tonic and drank half of it, slowly, the way someone does when they have decided to stop talking for a moment. When she set it down, her hand was steady. "I'm married now," she said. "Dan. He's a solicitor in Pontcanna. Good man. Boring about cricket. We have a daughter who's six and thinks you're a myth, because I told her you were a fairy princess who lived in a castle in London." "That's better than what I'd have said." "You'd have said I was sentimental." "You are sentimental." "I am." Eva looked at her properly then, for the first time since she'd sat down, and her eyes were wet at the rims but she didn't let anything fall. "And I'm sober six years. In case you were wondering who I'd turned into while you weren't watching." Rory didn't answer right away. She looked at the keys, at the bag, at the coat, at the short grey hair that had once been a riot of copper. She saw the woman she used to climb walls with, and she saw a stranger who had built a life brick by brick while Rory stood in a dark room and kept the door shut. "You look well," she said. "I look older." "That too." Eva laughed again, quieter this time. She slid the keys into her pocket, and the sound of them settling was small and final. "Does he let you have a second drink, your landlord-spymaster-whatever he is?" Rory raised a hand. Silas was already reaching for the gin.
created_at"2026-10-08T08:37:58.877Z" 10/8/2026, 8:37:58 AM
model"anthropic/claude-haiku-5.5-20261007"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2370
moderation_latency(null)
generation_time21748
tokens_prompt1063
tokens_completion1855
native_tokens_prompt1550
native_tokens_completion3414
native_tokens_completion_images(null)
native_tokens_reasoning1319
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"
usage0.001862
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791448678-QgFiAL74dnmNAehzzj0Z"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791448678-I5EJfLn2Q6PBylXFmMI7"
upstream_id"msg_011CfpU3Wgw799qPiFxhvYNY"
provider_responses
0
endpoint_id"b6cdf493-3a61-441f-a134-e7944fddb980"
id"msg_011CfpU3Wgw799qPiFxhvYNY"
is_byokfalse
latency783
model_permaslug"anthropic/claude-haiku-5.5-20261007"
provider_name"Claude Platform on AWS"
status200
total_cost0.001862
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
totalTags13
adverbTagCount0
adverbTags(empty)
dialogueSentences52
tagDensity0.25
leniency0.5
rawRatio0
effectiveRatio0
95.58% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1130
totalAiIsmAdverbs1
found
0
adverb"slowly"
count1
highlights
0"slowly"
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)
wordCount1130
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
narrationSentences50
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences50
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences89
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen55
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1130
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions16
unquotedAttributions0
matches(empty)
37.82% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions35
wordCount624
uniqueNames7
maxNameDensity2.24
worstName"Eva"
maxWindowNameDensity3.5
worstWindowName"Eva"
discoveredNames
Hughes1
Llandaff1
Rory12
Eva14
Silas5
Blackwood1
Soho1
persons
0"Hughes"
1"Rory"
2"Eva"
3"Silas"
4"Blackwood"
places
0"Llandaff"
1"Soho"
globalScore0.378
windowScore0.5
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences34
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1130
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences89
matches
0"doing that thing"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs52
mean21.73
std21.32
cv0.981
sampleLengths
023
18
292
31
435
56
668
74
823
919
104
1116
1236
133
144
1526
1627
1742
182
194
2032
2137
2239
239
243
2511
2635
279
281
291
3018
3140
327
339
342
3558
3644
3762
385
394
4034
4143
427
436
443
4548
4664
475
483
492
84.21% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences50
matches
0"was cropped"
1"being asked"
2"been photographed"
79.88% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs111
matches
0"was slicing"
1"was already reaching"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences89
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount626
adjectiveStacks0
stackExamples(empty)
adverbCount24
adverbRatio0.038338658146964855
lyAdverbCount6
lyAdverbRatio0.009584664536741214
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences89
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences89
mean12.7
std10.58
cv0.833
sampleLengths
023
18
25
332
423
516
616
71
831
94
106
112
1221
1318
1410
157
1610
174
1823
196
2013
214
2216
232
2418
2516
263
274
2812
2914
304
3117
326
3330
3412
352
364
3717
3815
3920
4017
4133
426
439
443
4511
4610
472
4823
499
54.68% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.38202247191011235
totalSentences89
uniqueOpeners34
79.37% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences42
matches
0"Then the laugh faded, and"
ratio0.024
67.62% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount16
totalSentences42
matches
0"She turned on the stool."
1"Her hair had been long"
2"She wore a navy wool"
3"She set the keys on"
4"He didn't look up from"
5"He never looked up when"
6"He only ever looked up"
7"It was the same laugh,"
8"It was the good stuff,"
9"He had the sense to"
10"She had been doing that"
11"Her mother used to call"
12"She pressed her thumb against"
13"She looked at the keys,"
14"She saw the woman she"
15"She slid the keys into"
ratio0.381
7.62% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount38
totalSentences42
matches
0"Rory had her back to"
1"She turned on the stool."
2"Eva Hughes stood under the"
3"Her hair had been long"
4"She wore a navy wool"
5"Eva crossed the floorboards, stopped"
6"She set the keys on"
7"He didn't look up from"
8"He never looked up when"
9"He only ever looked up"
10"Silas asked, and Rory caught"
11"It was the same laugh,"
12"Eva lifted her eyes"
13"Rory drank her gin."
14"It was the good stuff,"
15"Eva gave a short, tight"
16"Rory set the glass down"
17"Silas moved to the far"
18"He had the sense to"
19"Eva looked at the rows"
ratio0.905
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences42
matches
0"Now it was cropped close"
ratio0.024
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences23
technicalSentenceCount1
matches
0"Her hair had been long and wild at seventeen, a cheap copper dye that bled onto every pillowcase at every sleepover in Llandaff."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags13
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount0
fancyTags(empty)
dialogueSentences52
tagDensity0.115
leniency0.231
rawRatio0
effectiveRatio0
90.2257%