Run: 2026-10-08-01M4DAKXF0NY0VH7JCDGPDGYBR

Run Details

Duration:
20.8s
Cost:
$0.001774
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 had settled into a thin, sideways drizzle that found the gap between collar and neck and stayed there. Harlow Quinn tasted it on her lips as she ran. Her worn leather watch slapped against the bone of her wrist with every stride, and it read twenty past eleven. Herrera's car sat abandoned on Parkway, driver's door hanging open, hazard lights blinking amber across the wet tarmac. She had tailed it from Soho, three cars back the whole way, close enough to see him check his mirror and far enough to pass for another tired commuter. He had not looked back for six miles. Then he had clocked her at the lights on Camden High Street, and he had run. Now he was ahead of her, a dark shape cutting between a bus shelter and a row of bins, his coat flaring behind him. Under a sodium lamp, something swung at his throat and caught the light. The medallion. Saint Christopher, patron of travellers, and Herrera was a man who had never once been where he was supposed to be. "Tomás Herrera! Police. Stop where you are." He glanced over his shoulder. Pale face, mouth set, the rain running off his cropped curls. He did not stop. He ducked left into a service lane lined with shuttered stalls, and the lane swallowed him whole. Quinn followed. Her shoes skidded on the greasy cobbles, and she caught herself on a cold metal railing and kept moving. The air smelled of frying oil from a closed kebab shop, wet cardboard, and the river somewhere beyond the rooftops. Her breath came hard. Eighteen years on the force had taught her how to pace a foot chase, when to sprint and when to conserve, but it had never taught her how to outrun a man who knew every alley in this borough the way she knew the inside of her own kitchen. The lane opened onto a wider street where the market crowds had long since packed up and gone home. Vendors' awnings hung slack and dripping. Herrera vaulted a low wall at the far end and dropped out of sight. She reached the wall, hauled herself over, and landed hard on a patch of broken paving. Ahead, a cluster of arches stood sealed with corrugated iron and rusted bars. Beyond them, a brick portico bore the faded ghost of a Underground roundel, its red bar bleached almost white. The old station. She had seen it on a briefing sheet months ago and filed it under dead ends. Herrera stood at the iron gate, one hand flat against the grille. His other hand held something small and pale that caught the light, a smooth knuckle of bone threaded on a cord. He pressed it against a lock that should have been welded shut. A low hum rose from the iron, a sound she felt in her teeth more than heard, and the bars slid apart with a groan like a ship's hull shifting in the swell. "Don't," Quinn said. She drew her weapon and kept it low, pointed at the ground between them. "Step away from the gate, Tommy." He turned, and for a moment his warm brown eyes met hers with something close to pity. He had a scar running the length of his left forearm, white and raised in the wet light, and he flexed his fingers over it as though it ached. "You don't understand what you're walking into, Detective." "Then explain it to me. Quickly." "I can't. Not up here." He shook his head, water flying from his curls. "Down there, you'll be a guest, or you'll be meat. There's nothing in between." "You're under arrest for obstruction and for whatever you've been doing with Silas Crane's people. Hands where I can see them." He lifted both hands, bone token dangling from his fingers, and stepped backward through the gap. The gate began to shudder shut behind him. Quinn lunged for it. Her palm caught the cold iron, and the hum leapt up her arm, sour and electric, and she thought of the morning three years ago when Morris had walked into a basement in Hackney and the radio had gone quiet mid-sentence. She had never found the basement. She had never found him. Her left hand went to her wrist. The watch was still ticking, steady and mechanical, a sound that did not belong to anything else in the night. She could call it in. Her radio crackled once at her hip, a dry hiss of static with no voice behind it. Maybe the walls were thick enough to swallow the signal. Maybe something else had already done it. Quinn wedged her shoulder into the gap, pushed the gate back, and stepped over the threshold. A stairwell fell away beneath her, lit by flickering blue lamps, and from far below came the sound of a low, bowed instrument and laughter that did not sound entirely human. The air rose to meet her, sweet like scorched sugar and metallic like blood. She tightened her grip on the weapon and started down.
created_at"2026-10-08T08:38:28.585Z" 10/8/2026, 8:38:28 AM
model"anthropic/claude-haiku-5.5-20261007"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency20273
moderation_latency(null)
generation_time20731
tokens_prompt1104
tokens_completion1173
native_tokens_prompt1576
native_tokens_completion3232
native_tokens_completion_images(null)
native_tokens_reasoning1659
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"
usage0.0017736
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791448708-2lkOpes5vBNJqSzJI8XJ"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791448708-bRffE5XHpLamkr5MJp9i"
upstream_id"msg_011CfpU5hcZuBVVKwoPjqgpt"
provider_responses
0
endpoint_id"b6cdf493-3a61-441f-a134-e7944fddb980"
id"msg_011CfpU5hcZuBVVKwoPjqgpt"
is_byokfalse
latency790
model_permaslug"anthropic/claude-haiku-5.5-20261007"
provider_name"Claude Platform on AWS"
status200
total_cost0.0017736
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
totalTags2
adverbTagCount0
adverbTags(empty)
dialogueSentences8
tagDensity0.25
leniency0.5
rawRatio0
effectiveRatio0
94.13% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount852
totalAiIsmAdverbs1
found
0
adverb"quickly"
count1
highlights
0"quickly"
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)
88.26% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount852
totalAiIsms2
found
0
word"electric"
count1
1
word"mechanical"
count1
highlights
0"electric"
1"mechanical"
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)
87.91% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences52
filterMatches
0"watch"
hedgeMatches
0"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences59
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen49
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords852
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions18
wordCount778
uniqueNames11
maxNameDensity0.64
worstName"Quinn"
maxWindowNameDensity1
worstWindowName"Quinn"
discoveredNames
Quinn5
Parkway1
Soho1
Camden1
High1
Street1
Christopher1
Herrera4
Underground1
Morris1
Hackney1
persons
0"Quinn"
1"Christopher"
2"Herrera"
3"Morris"
places
0"Soho"
1"Camden"
2"High"
3"Street"
4"Hackney"
globalScore1
windowScore1
90.48% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences42
glossingSentenceCount1
matches
0"something close to pity"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount852
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences59
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs21
mean40.57
std24.57
cv0.606
sampleLengths
050
171
260
37
437
594
639
767
878
923
1046
118
126
1328
1421
1524
1656
1727
1839
1961
2010
91.77% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences52
matches
0"was supposed"
1"been welded"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs129
matches
0"was still ticking"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences59
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount379
adjectiveStacks0
stackExamples(empty)
adverbCount8
adverbRatio0.021108179419525065
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences59
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences59
mean14.44
std9.41
cv0.652
sampleLengths
020
110
220
318
429
58
616
724
813
92
1021
117
125
1311
144
1517
162
1719
1820
194
2049
2119
226
2314
2416
2513
2619
273
2816
2912
3021
3112
3233
333
3414
356
3617
3729
388
396
4014
4114
4221
4316
448
454
4641
476
485
497
63.84% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.423728813559322
totalSentences59
uniqueOpeners25
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences49
matches
0"Then he had clocked her"
1"Maybe the walls were thick"
2"Maybe something else had already"
ratio0.061
24.08% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount24
totalSentences49
matches
0"Her worn leather watch slapped"
1"She had tailed it from"
2"He had not looked back"
3"He glanced over his shoulder."
4"He did not stop."
5"He ducked left into a"
6"Her shoes skidded on the"
7"Her breath came hard."
8"She reached the wall, hauled"
9"She had seen it on"
10"His other hand held something"
11"He pressed it against a"
12"She drew her weapon and"
13"He turned, and for a"
14"He had a scar running"
15"He shook his head, water"
16"He lifted both hands, bone"
17"Her palm caught the cold"
18"She had never found the"
19"She had never found him."
ratio0.49
51.84% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount40
totalSentences49
matches
0"The rain had settled into"
1"Harlow Quinn tasted it on"
2"Her worn leather watch slapped"
3"Herrera's car sat abandoned on"
4"She had tailed it from"
5"He had not looked back"
6"Saint Christopher, patron of travellers,"
7"He glanced over his shoulder."
8"He did not stop."
9"He ducked left into a"
10"Her shoes skidded on the"
11"The air smelled of frying"
12"Her breath came hard."
13"The lane opened onto a"
14"Herrera vaulted a low wall"
15"She reached the wall, hauled"
16"The old station."
17"She had seen it on"
18"Herrera stood at the iron"
19"His other hand held something"
ratio0.816
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences49
matches
0"Now he was ahead of"
ratio0.02
63.49% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences36
technicalSentenceCount4
matches
0"Herrera's car sat abandoned on Parkway, driver's door hanging open, hazard lights blinking amber across the wet tarmac."
1"Now he was ahead of her, a dark shape cutting between a bus shelter and a row of bins, his coat flaring behind him."
2"He had a scar running the length of his left forearm, white and raised in the wet light, and he flexed his fingers over it as though it ached."
3"A stairwell fell away beneath her, lit by flickering blue lamps, and from far below came the sound of a low, bowed instrument and laughter that did not sound en…"
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount1
matches
0"He shook, water flying from his curls"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences8
tagDensity0.125
leniency0.25
rawRatio0
effectiveRatio0
88.5268%