Run: 2026-05-29-01KSSJHJ5V4K97FQP76T4TYXR6

Run Details

Duration:
37.0s
Cost:
$0.056845
Provider:
Anthropic

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 in sheets, turning the Soho pavement into a black mirror that swallowed the neon and spat it back fractured. Detective Harlow Quinn ran with her coat slapping against her thighs, water sluicing past her collar and down her spine. Twenty feet ahead, the man she'd been tracking for six weeks ducked between two parked vans and vanished. "Police! Stop!" Her voice cracked against the brick and went nowhere. Tomás Herrera didn't stop. He never did. She'd watched him slip out the back of The Raven's Nest forty minutes ago, a paramedic's bag slung over his shoulder, and she'd followed him through three back alleys and a closed market without him ever once looking like a man who didn't know he was being followed. That was the part that bothered her. He knew. He just wasn't afraid. Quinn rounded the vans. Her boots hit a puddle and the cold went straight to the bone. Up ahead, Herrera cut left down a service lane, the Saint Christopher medallion at his throat catching a stray bar light before he disappeared into the dark. She keyed her radio. Static answered. She'd lost the relay two streets back, the way she always seemed to lose things around these people. Equipment failed. Witnesses recanted. Files corrupted themselves. Three years of this, and it had started the night she'd lost Morris. She shoved the thought down where it lived and ran. The service lane narrowed, walls pressing close enough that she could touch both with her arms spread. Rain hammered the bins. At the end, a chain-link gate hung open, the padlock cut clean and dripping. Beyond it, a flight of concrete steps descended into a mouth of black, the kind of forgotten Tube access the city had bricked up and pretended to forget. Herrera stood halfway down, looking back at her. Water ran off his curls. He wasn't even breathing hard. "You should go home, Detective." "You know my name?" "Everyone knows your name." He shifted the bag higher on his shoulder. The scar on his forearm showed pale under the one working light. "Eighteen years. The detective who keeps asking questions she doesn't want the answers to." "Try me." "No." Something almost like pity crossed his face. "You won't like what's down here. Go back to your reports. Write that you lost me in the rain. It'll be the truest thing you put on paper all year." He turned and went down. Quinn stood at the lip of the stairwell, rain drumming on her shoulders, and weighed it. Procedure said no. No backup, no radio, no light beyond the dying glow at the top of the steps. Following a suspect into a sealed underground space alone was the kind of decision that got an officer's photograph hung in a corridor with a brass plate underneath. But she'd done procedure for three years. Procedure had given her nothing. Procedure had let Morris's case file gather dust under a stamp that read INSUFFICIENT EVIDENCE, while she lay awake at four in the morning seeing the way the streetlight had bent around the thing in the alley. The thing that shouldn't have been there. The thing no one would let her write down. She went down the steps. The temperature dropped with each one. The walls turned from concrete to old white tile, cracked and weeping, the kind they'd laid a hundred years ago when the trains still ran. Her hand found the grip of her torch and she clicked it on. The beam picked out graffiti that didn't use any alphabet she recognised, and a smell rose to meet her — wet earth, copper, and something sweet and rotten underneath, like flowers left too long in their water. At the bottom, the passage opened. Quinn stopped. She'd expected a tunnel. A dead platform, maybe a homeless camp, the usual archaeology of the city's underside. What she got was light. Not electric — the wrong colour for that, too warm and too uneven, throbbing from lanterns strung along a vaulted space that ran further than her torch could reach. Stalls lined both walls. Canvas and salvaged wood, draped in cloth, manned by figures she could only half see. The air moved with voices in a dozen languages, the click of coins that weren't coins, the low murmur of bargains struck in the dark. A market. Under Camden, in a station the maps said had been gone since the war. A boy no older than ten stepped into her path. He held out a small bowl. In it sat what looked, in the lantern light, like teeth. Or seeds. They moved. "Token," the boy said. "What?" "Bone token. No token, no Market." He looked up at her with eyes that held far too many years. "You don't have one. You're not supposed to be here." Quinn's hand drifted to her badge before she caught herself. A badge meant nothing here. She could feel that, the way you feel the floor isn't level before you can say why. Every instinct she'd trained for eighteen years told her to leave — and that same instinct, the one that had kept her alive on worse nights than this, told her the thing she'd been chasing for three years was finally, finally close enough to touch. Down the length of the Market, between two stalls hung with jars that glowed faintly green, Herrera glanced back at her. He shook his head, slow. Then he stepped behind a curtain of hanging bone and was gone. "Lady." The boy tugged her sleeve. "Last chance. People who come in without a token don't always come out the same shape." Quinn looked at the small grasping fingers, at the bowl of moving teeth, at the impossible cavern of light stretching into the earth beneath a city she'd thought she knew completely. She thought of Morris. Of the bent streetlight. Of every report stamped and buried. "Then tell me," she said, crouching to the boy's level, her voice steady in a way she didn't feel, "how I get a token." The boy smiled. It was not a child's smile at all. "Now," he said, "that's the right question."
created_at"2026-05-29T09:55:13.221Z" 5/29/2026, 9:55:13 AM
model"anthropic/claude-4.8-opus-20260528"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1598
moderation_latency(null)
generation_time36936
tokens_prompt1140
tokens_completion1510
native_tokens_prompt1574
native_tokens_completion1959
native_tokens_completion_images(null)
native_tokens_reasoning0
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"
usage0.056845
router(null)
provider_responses
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endpoint_id"b0d3beaa-5ff7-4666-a749-b1bb2b14c916"
id"msg_01A9M4yvm1EAtaNkGpnEpYe1"
is_byokfalse
latency1598
model_permaslug"anthropic/claude-4.8-opus-20260528"
provider_name"Anthropic"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.16.0; linux; x64))"
http_referer(null)
request_id"req-1780048513-LBNGMsk7dztodbPUNCBP"
session_id(null)
api_type"completions"
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upstream_id"msg_01A9M4yvm1EAtaNkGpnEpYe1"
total_cost0.056845
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provider_name"Anthropic"
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Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags7
adverbTagCount0
adverbTags(empty)
dialogueSentences16
tagDensity0.438
leniency0.875
rawRatio0
effectiveRatio0
95.15% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1031
totalAiIsmAdverbs1
found
0
adverb"completely"
count1
highlights
0"completely"
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)
80.60% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1031
totalAiIsms4
found
0
word"fractured"
count1
1
word"down her spine"
count1
2
word"electric"
count1
3
word"could feel"
count1
highlights
0"fractured"
1"down her spine"
2"electric"
3"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
narrationSentences80
matches(empty)
89.29% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount2
narrationSentences80
filterMatches
0"feel"
hedgeMatches
0"seemed to"
1"tended to"
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
maxSentenceWordsSeen48
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1034
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
totalMentions25
wordCount924
uniqueNames13
maxNameDensity0.65
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Procedure"
discoveredNames
Soho1
Harlow1
Quinn6
Herrera4
Raven1
Nest1
Saint1
Christopher1
Morris3
Tube1
Camden1
Market1
Procedure3
persons
0"Harlow"
1"Quinn"
2"Herrera"
3"Raven"
4"Saint"
5"Christopher"
6"Morris"
7"Tube"
8"Procedure"
places
0"Soho"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences48
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1034
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences89
matches
0"feel that, the"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs35
mean29.54
std26.48
cv0.896
sampleLengths
061
12
264
313
444
544
610
763
818
95
104
1138
122
1338
145
1563
1665
175
1881
196
202
2196
2216
2331
244
251
2629
2777
2838
2922
3031
3114
3224
3311
347
87.72% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences80
matches
0"being followed"
1"got was"
2"been gone"
3"was gone"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs162
matches
0"wasn't even breathing"
46.55% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount3
semicolonCount0
flaggedSentences3
totalSentences89
ratio0.034
matches
0"The beam picked out graffiti that didn't use any alphabet she recognised, and a smell rose to meet her — wet earth, copper, and something sweet and rotten underneath, like flowers left too long in their water."
1"Not electric — the wrong colour for that, too warm and too uneven, throbbing from lanterns strung along a vaulted space that ran further than her torch could reach."
2"Every instinct she'd trained for eighteen years told her to leave — and that same instinct, the one that had kept her alive on worse nights than this, told her the thing she'd been chasing for three years was finally, finally close enough to touch."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount922
adjectiveStacks0
stackExamples(empty)
adverbCount27
adverbRatio0.02928416485900217
lyAdverbCount5
lyAdverbRatio0.005422993492407809
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
mean11.62
std10.21
cv0.879
sampleLengths
023
120
218
32
49
54
63
748
87
92
104
114
1213
1327
144
152
1618
172
182
193
2013
2110
2217
234
2414
2528
268
275
285
295
304
3112
3212
3314
342
358
3630
375
3816
393
4016
4128
427
435
4437
457
469
475
486
4925
83.15% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.5393258426966292
totalSentences89
uniqueOpeners48
46.95% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences71
matches
0"Then he stepped behind a"
ratio0.014
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount21
totalSentences71
matches
0"Her voice cracked against the"
1"He never did."
2"She'd watched him slip out"
3"He just wasn't afraid."
4"Her boots hit a puddle"
5"She keyed her radio."
6"She'd lost the relay two"
7"She shoved the thought down"
8"He wasn't even breathing hard."
9"He shifted the bag higher"
10"He turned and went down."
11"She went down the steps."
12"Her hand found the grip"
13"She'd expected a tunnel."
14"He held out a small"
15"He looked up at her"
16"She could feel that, the"
17"He shook his head, slow."
18"She thought of Morris."
19"she said, crouching to the"
ratio0.296
86.76% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount53
totalSentences71
matches
0"The rain came down in"
1"Detective Harlow Quinn ran with"
2"Her voice cracked against the"
3"Tomás Herrera didn't stop."
4"He never did."
5"She'd watched him slip out"
6"That was the part that"
7"He just wasn't afraid."
8"Quinn rounded the vans."
9"Her boots hit a puddle"
10"She keyed her radio."
11"She'd lost the relay two"
12"Files corrupted themselves."
13"She shoved the thought down"
14"The service lane narrowed, walls"
15"Herrera stood halfway down, looking"
16"Water ran off his curls."
17"He wasn't even breathing hard."
18"He shifted the bag higher"
19"The scar on his forearm"
ratio0.746
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences71
matches(empty)
ratio0
0.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences33
technicalSentenceCount8
matches
0"The rain came down in sheets, turning the Soho pavement into a black mirror that swallowed the neon and spat it back fractured."
1"Detective Harlow Quinn ran with her coat slapping against her thighs, water sluicing past her collar and down her spine."
2"She'd watched him slip out the back of The Raven's Nest forty minutes ago, a paramedic's bag slung over his shoulder, and she'd followed him through three back …"
3"Following a suspect into a sealed underground space alone was the kind of decision that got an officer's photograph hung in a corridor with a brass plate undern…"
4"Procedure had let Morris's case file gather dust under a stamp that read INSUFFICIENT EVIDENCE, while she lay awake at four in the morning seeing the way the st…"
5"The beam picked out graffiti that didn't use any alphabet she recognised, and a smell rose to meet her — wet earth, copper, and something sweet and rotten under…"
6"Not electric — the wrong colour for that, too warm and too uneven, throbbing from lanterns strung along a vaulted space that ran further than her torch could re…"
7"The air moved with voices in a dozen languages, the click of coins that weren't coins, the low murmur of bargains struck in the dark."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags7
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount0
fancyTags(empty)
dialogueSentences16
tagDensity0.188
leniency0.375
rawRatio0
effectiveRatio0
87.2054%