Run: 2026-10-08-01M4DADQPQAH85FX5N7FJHH2KV

Run Details

Duration:
14.5s
Cost:
$0.001224
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="4416" name="Detective Harlow Quinn" aliases="Quinn, Detective Quinn, Harlow" pronouns="she/her" species="Human" storyRole="Antagonist"> <eyeColor>brown</eyeColor> <hair>closely cropped salt-and-pepper</hair> <height>5'9"</height> <age>41</age> <jawline>sharp jaw</jawline> <watch>worn leather watch on her left wrist</watch> <bearing>military precision</bearing> <description>A Metropolitan Police detective with 18 years of decorated service who suspects the clique is involved in criminal activity.</description> <backstory>She lost her partner, DS Morris, during a case three years ago under unexplained circumstances that had supernatural origins she doesn't yet understand.</backstory> </character> <character id="4417" name="Tomás Herrera" aliases="Tommy, Tomás, Herrera" pronouns="he/him" species="Human" storyRole="Support"> <eyeColor>warm brown</eyeColor> <hair>short curly dark brown</hair> <height>5'10"</height> <age>29</age> <skinTone>olive skin</skinTone> <scar>scar running along his left forearm from a knife attack</scar> <medallion>Saint Christopher medallion around his neck</medallion> <birthplace>Seville, Spain</birthplace> <description>A former paramedic who provides off-the-books medical care for the clique.</description> <backstory>Born in Seville, Spain. He moved to London to work for the NHS but lost his license after administering unauthorized treatments to supernatural patients.</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> <location id="856" name="The Veil Market" aliases="Veil Market, the Market, underground market" realm="Earth"> <currentLocation>abandoned Tube station beneath Camden</currentLocation> <entryRequirement>bone token</entryRequirement> <schedule>moves locations every full moon</schedule> <description>A hidden supernatural black market that sells enchanted goods, banned alchemical substances, and information.</description> </location> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the thriller genre. A detective is pursuing a suspect through rain-soaked city streets at night. The chase takes them from the street level down into an underground market. The detective must decide whether to follow the suspect into unfamiliar and potentially dangerous territory. 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 came down hard enough to bounce off the cobbles, and Harlow Quinn's shoes had long since stopped being waterproof. She kept her eyes on the figure ahead. Tomás Herrera ran with a hitch in his stride, one hand pressed to his left forearm where the scar would be, the other holding his collar closed against the weather. "Herrera! Stop where you are." He didn't. He cut left past a shuttered falafel stall, slid on the wet kerb, caught himself on a bollard and kept going. The Saint Christopher medallion swung loose from his neck and caught the orange glow of a streetlamp before vanishing under his coat. Quinn pushed harder. Her left wrist ached where the worn leather watch strap had rubbed a raw line into her skin. Eighteen years of training had taught her to run without wasting breath, to keep her arms low and her elbows tight, but none of it had prepared her for the way the Camden crowd parted and closed again around him like water. Tourists in cheap plastic ponchos scattered. A couple shrieked and dragged a pushchair out of the way. Someone yelled at her to watch where she was going. "Police," she barked at the man. "Move." He moved, sideways, and she was through. Herrera turned onto Chalk Farm Road, then doubled back under the railway arch where the lamps had died months ago. She followed the sound of his shoes slapping water. Her own breath came ragged. The arch swallowed the street noise and gave back only the drip of old brick and the hiss of rain beyond the far end. She stopped at the mouth of the arch and let her eyes adjust. Nothing moved. She listened. "You're not going to make this easy," she said. Silence. Then his voice, low and close, somewhere to her right. "I'm not going to make it hard, either. Go home, Detective." She turned. He stood on the lower steps of a gated service entrance half-hidden behind a tangle of rusted scaffolding. The grate had been pried open at one corner. Above it, a sign that once read LONDON UNDERGROUND had been painted over in black, and beneath the black, someone had scratched a single word into the metal with a key or a nail: ANYA. "You know I can't do that." She took a step forward. Water ran from her cropped hair into her collar. "Three years, Tomás. Three years I've been looking at what your friends at the Nest leave behind, and every time I get close, somebody like you walks out of the room with a clean story and a cleaner conscience." He laughed, a short, humourless sound. "My conscience isn't clean. It's just mine." "Then tell me what happened to DS Morris." Something flickered across his face, quick as a match struck in wind. He looked down at the scar on his forearm, then back up. "I told you before. I wasn't there when he went into the water." "You were there when he came back out of it." He didn't answer. He reached into his coat and she tensed, every muscle drawing tight, but his hand came out holding a small flat disc of yellowed bone. It was carved with a spiral and worn smooth at the edges by handling. "Bone token," he said. "Entry to the Market. You don't have one, and I'm not giving you mine." He pressed the disc against a panel beside the grate. A soft click answered from inside the metal. "But the stairs are open now, and I don't have time to argue with you about it." Cold air breathed up from the gap. It smelled of wet stone, old oil, burnt sugar, and something sharper underneath, like copper left too long in the rain. Far below, faint and uneven, came the sound of voices bargaining, a bell chiming once, and the scrape of a heavy door dragging across concrete. Quinn looked at the steps. They curled down into a darkness with no visible bottom, lit only by a string of sickly blue bulbs that flickered as if the power ran on breath. Her watch read twenty past eleven. Her radio was dead in her pocket. Nobody on the force knew she had followed him this far, and she had no backup, no warrant, and no idea what waited at the bottom. Herrera descended two steps and turned, one hand on the rusted rail. "You coming, Detective, or are you going to stand in the rain and let me go?" She drew a slow breath and tasted diesel and river water. Her hand hovered near her belt, then dropped to her side. She stepped onto the first stair, and the metal rang under her boot like a bell.
created_at"2026-10-08T08:35:06.078Z" 10/8/2026, 8:35:06 AM
model"anthropic/claude-haiku-5.5-20261007"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency14467
moderation_latency(null)
generation_time14467
tokens_prompt1104
tokens_completion1093
native_tokens_prompt1576
native_tokens_completion2132
native_tokens_completion_images(null)
native_tokens_reasoning665
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"
usage0.0012236
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791448506-fPaSjCHWCEpkw9g4AU3s"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791448506-Xz3Gq4OdgwOWItQQDPpd"
upstream_id"msg_011CfpTpn5HXg1hSx4eREHGC"
provider_responses
0
endpoint_id"b6cdf493-3a61-441f-a134-e7944fddb980"
id"msg_011CfpTpn5HXg1hSx4eREHGC"
is_byokfalse
latency859
model_permaslug"anthropic/claude-haiku-5.5-20261007"
provider_name"Claude Platform on AWS"
status200
total_cost0.0012236
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
totalTags5
adverbTagCount0
adverbTags(empty)
dialogueSentences15
tagDensity0.333
leniency0.667
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount796
totalAiIsmAdverbs0
found(empty)
highlights(empty)
100.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found(empty)
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
81.16% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount796
totalAiIsms3
found
0
word"silence"
count1
1
word"flickered"
count2
highlights
0"silence"
1"flickered"
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
narrationSentences51
matches(empty)
86.83% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences51
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences61
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen42
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords796
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
totalMentions15
wordCount639
uniqueNames11
maxNameDensity0.47
worstName"Quinn"
maxWindowNameDensity1
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn3
Herrera3
Saint1
Christopher1
Camden1
Chalk1
Farm1
Road1
Silence1
Water1
persons
0"Harlow"
1"Quinn"
2"Herrera"
3"Saint"
4"Christopher"
5"Water"
places
0"Chalk"
1"Farm"
2"Road"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences38
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount796
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences61
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs22
mean36.18
std24.51
cv0.677
sampleLengths
059
15
245
390
47
57
658
717
89
922
1064
1159
1213
138
1437
1510
1642
1753
1853
1972
2028
2138
84.62% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences51
matches
0"been pried"
1"been painted"
2"was carved"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs109
matches
0"was going"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences61
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount640
adjectiveStacks0
stackExamples(empty)
adverbCount13
adverbRatio0.0203125
lyAdverbCount3
lyAdverbRatio0.0046875
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences61
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences61
mean13.05
std9.4
cv0.721
sampleLengths
021
18
230
35
42
521
622
73
818
942
106
1111
1210
136
141
157
1620
179
185
1924
2013
212
222
239
241
2510
2611
272
2818
299
3035
3111
329
3339
346
357
368
3712
3812
3913
4010
413
4225
4314
444
4524
468
4717
487
4921
79.78% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.5081967213114754
totalSentences61
uniqueOpeners31
75.76% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences44
matches
0"Then his voice, low and"
ratio0.023
10.91% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount23
totalSentences44
matches
0"She kept her eyes on"
1"He cut left past a"
2"Her left wrist ached where"
3"she barked at the man"
4"He moved, sideways, and she"
5"She followed the sound of"
6"Her own breath came ragged."
7"She stopped at the mouth"
8"He stood on the lower"
9"She took a step forward"
10"He laughed, a short, humourless"
11"He looked down at the"
12"He didn't answer."
13"He reached into his coat"
14"It was carved with a"
15"He pressed the disc against"
16"It smelled of wet stone,"
17"They curled down into a"
18"Her watch read twenty past"
19"Her radio was dead in"
ratio0.523
16.82% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount39
totalSentences44
matches
0"The rain came down hard"
1"She kept her eyes on"
2"Tomás Herrera ran with a"
3"He cut left past a"
4"The Saint Christopher medallion swung"
5"Quinn pushed harder."
6"Her left wrist ached where"
7"Tourists in cheap plastic ponchos"
8"A couple shrieked and dragged"
9"Someone yelled at her to"
10"she barked at the man"
11"He moved, sideways, and she"
12"Herrera turned onto Chalk Farm"
13"She followed the sound of"
14"Her own breath came ragged."
15"The arch swallowed the street"
16"She stopped at the mouth"
17"He stood on the lower"
18"The grate had been pried"
19"She took a step forward"
ratio0.886
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences44
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences26
technicalSentenceCount1
matches
0"They curled down into a darkness with no visible bottom, lit only by a string of sickly blue bulbs that flickered as if the power ran on breath."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags5
uselessAdditionCount0
matches(empty)
16.67% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount2
fancyTags
0"she barked (bark)"
1"He pressed (press)"
dialogueSentences15
tagDensity0.267
leniency0.533
rawRatio0.5
effectiveRatio0.267
85.0849%