Run: 2026-05-31-01KSYXFKBXCX5APK7RC2ZHK34D

Run Details

Duration:
39.5s
Cost:
$0.061045
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
Rain hammered the pavement, slicking the cobbles outside the Raven's Nest until they glistened under the green neon sign. Quinn watched the man burst through the door, collar turned up, a medallion catching the wet light at his throat before he tucked his chin and ran. She moved. "Herrera!" Her voice cracked against the brick. "Police—stop where you are!" He didn't. They never did. Tomás Herrera vaulted a stack of crates outside the kitchen entrance, sent them clattering into the gutter, and bolted down the alley with the loose, economical stride of a man who'd spent years running toward emergencies and, lately, away from them. Quinn's boots found purchase where his had skidded. Eighteen years of this. Her lungs burned in the cold, but her legs knew the rhythm, the surge and brake of a pursuit through narrow Soho veins. She clipped the corner, palm slapping wet stone, and caught the flash of his jacket as he cut left toward Camden. He knew the city. So did she. "You can run all night," she shouted, "I've got nothing better to do!" A taxi blared its horn as Herrera darted across the road, threading between bumpers, the rain turning headlights into smeared comets. Quinn followed two seconds behind, close enough to hear his breath now, ragged where hers stayed level. He glanced back—just once—warm brown eyes wide with something past fear. Calculation. He was deciding something. Then he changed direction. He veered off the main drag, away from the lights and the cameras and the witnesses, down a service road that dead-ended at a chain-link fence. Quinn felt the small hard knot of triumph in her chest. "Nowhere left, Tomás. Hands where I can see them." But he didn't slow at the fence. He hit a section of corrugated hoarding beside it, shouldered through a gap she hadn't seen, and vanished into black. Quinn pulled up short. Rain ran cold down the back of her neck. She drew her torch, swept the beam across the hoarding—an old works sign, faded, half-peeled. ABANDONED. DANGER. The gap yawned at her, a mouth into the dark. Beneath Camden. She knew the maps. There were dead Tube lines down here, stations sealed since the war, tunnels nobody had walked in decades. Three years ago Morris had chased a lead into ground like this and come back wrong, then not come back at all. The official report said nothing. The official report was a lie she'd stopped believing the day she read it. She put her hand on the cold edge of the hoarding. Every instinct her training had drilled into her screamed protocol. Call it in. Wait for backup. Don't follow a suspect into an enclosed unknown space with no exit and no comms. She keyed her radio. Static. Not the ordinary static of bad reception. A wet, breathing static, like something pressed its mouth to the speaker. "Control, this is Quinn, in pursuit, requesting—" The static swallowed her words and gave back nothing. She thought of Morris. His easy laugh. The way he'd looked at her the last time, half over his shoulder, before the dark took him. She'd spent three years circling the edge of an answer she couldn't name, and this man—this disgraced paramedic with his saint's medallion and his off-books patients—was the closest she'd come to the centre of it. Quinn ducked through the gap. The temperature dropped. Her torch found a stairwell, tiles cracked and furred with grime, descending in a slow curve. Herrera's wet footprints led down, fading already, and beneath them an old tiled sign read a station name that hadn't appeared on any line in seventy years. She descended. The stairs ended at a platform, and the platform should have been empty, sealed, dead—and it wasn't. Light bled up from the far end, not the harsh white of utility lamps but something warmer, amber and shifting, threaded with a smell she couldn't place. Woodsmoke. Crushed herbs. Beneath it, copper. Quinn killed her torch and pressed against the tiled wall. Voices murmured ahead. Not the echo of a couple of squatters. A crowd. The low collective hum of a market—haggling, laughter, the chime of coins. Stalls had been erected along the platform and into the tunnel mouth itself, lit by lanterns that held flames the wrong colour, blues and greens that didn't flicker like fire should. Figures moved between them. Some wore ordinary coats. Some did not look, in the swimming lantern light, entirely ordinary at all. At the entrance, a figure in a heavy cloak sat on a stool beside an upturned crate, and on the crate lay a small pile of objects pale as old ivory. Herrera had stopped there. He was speaking, fast, low, pressing something into the cloaked figure's palm. A token. The figure turned it over, nodded, and Herrera slipped past into the crowd, into the impossible warm glow, and was gone among the bodies and the light. Quinn stood very still in the dark. Whatever this was, it was the thing under everything. The thing Morris had found. The clique, the unexplained deaths, the cases that closed themselves before she could pry them open—it all ran down here into this amber-lit hollow beneath the city, and Tomás Herrera had just walked into the heart of it with a casual ease that told her he belonged. The cloaked gatekeeper turned its head. Slowly. As if it had felt her watching. "You'll want a token," it said. The voice was neither man's nor woman's, and it carried farther than a whisper should. "No token, no entry. Those are the rules, Detective." Her hand went to her hip. To the reassuring weight of a service weapon that suddenly felt like a child's toy. She thought about backup that wasn't coming, a radio that breathed at her, a partner three years in the ground or somewhere worse. She thought about the rain still falling on the ordinary street above, where the rules made sense and the dark stayed where it belonged. Then she thought about Herrera's footprints, already fading on the platform. Quinn stepped out of the shadow into the wrong-coloured light. "Then tell me," she said, "how I get one."
created_at"2026-05-31T11:42:35.401Z" 5/31/2026, 11:42:35 AM
model"anthropic/claude-4.8-opus-20260528"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2694
moderation_latency(null)
generation_time39433
tokens_prompt1140
tokens_completion1625
native_tokens_prompt1574
native_tokens_completion2127
native_tokens_completion_images(null)
native_tokens_reasoning55
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"
usage0.061045
router(null)
provider_responses
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endpoint_id"b0d3beaa-5ff7-4666-a749-b1bb2b14c916"
id"msg_016pRSripE81bVUCxbQvG5GA"
is_byokfalse
latency1148
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-1780227755-OAN483julRbnWHCfKYs4"
session_id(null)
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api_type"completions"
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upstream_id"msg_016pRSripE81bVUCxbQvG5GA"
total_cost0.061045
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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
totalTags4
adverbTagCount0
adverbTags(empty)
dialogueSentences8
tagDensity0.5
leniency1
rawRatio0
effectiveRatio0
85.63% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1044
totalAiIsmAdverbs3
found
0
adverb"very"
count1
1
adverb"slowly"
count1
2
adverb"suddenly"
count1
highlights
0"very"
1"slowly"
2"suddenly"
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)
80.84% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1044
totalAiIsms4
found
0
word"echo"
count1
1
word"flicker"
count1
2
word"whisper"
count1
3
word"weight"
count1
highlights
0"echo"
1"flicker"
2"whisper"
3"weight"
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
narrationSentences90
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences90
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences94
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
totalWords1035
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions27
wordCount983
uniqueNames9
maxNameDensity0.92
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Raven1
Nest1
Herrera7
Soho1
Camden2
Tube1
Morris3
Tomás2
Quinn9
persons
0"Herrera"
1"Tube"
2"Morris"
3"Tomás"
4"Quinn"
places
0"Raven"
1"Soho"
2"Camden"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences52
glossingSentenceCount1
matches
0"felt like a child's toy"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.966
wordCount1035
matches
0"not the harsh white of utility lamps but something warmer, amber"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences94
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs37
mean27.97
std21.21
cv0.758
sampleLengths
046
12
211
346
456
57
613
754
84
937
109
1127
1240
1365
1411
1535
1620
177
189
1960
205
2146
222
2350
2410
2577
2631
2745
287
2961
3014
3130
3221
3347
3411
3510
369
97.47% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences90
matches
0"been erected"
1"was gone"
80.24% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs167
matches
0"was deciding"
1"was speaking"
2"wasn't coming"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount8
semicolonCount0
flaggedSentences6
totalSentences94
ratio0.064
matches
0"He glanced back—just once—warm brown eyes wide with something past fear."
1"She drew her torch, swept the beam across the hoarding—an old works sign, faded, half-peeled."
2"She'd spent three years circling the edge of an answer she couldn't name, and this man—this disgraced paramedic with his saint's medallion and his off-books patients—was the closest she'd come to the centre of it."
3"The stairs ended at a platform, and the platform should have been empty, sealed, dead—and it wasn't."
4"The low collective hum of a market—haggling, laughter, the chime of coins."
5"The clique, the unexplained deaths, the cases that closed themselves before she could pry them open—it all ran down here into this amber-lit hollow beneath the city, and Tomás Herrera had just walked into the heart of it with a casual ease that told her he belonged."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount997
adjectiveStacks0
stackExamples(empty)
adverbCount22
adverbRatio0.022066198595787363
lyAdverbCount4
lyAdverbRatio0.004012036108324975
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences94
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences94
mean11.01
std9.57
cv0.869
sampleLengths
019
127
22
37
44
52
63
741
88
94
1023
1121
124
133
1413
1521
1617
1711
181
194
204
2126
2211
239
247
2520
264
279
2815
291
301
3110
322
334
3418
3522
365
3714
3811
3910
403
413
4215
434
441
457
4612
477
489
494
72.70% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.46808510638297873
totalSentences94
uniqueOpeners44
90.09% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences74
matches
0"Then he changed direction."
1"Then she thought about Herrera's"
ratio0.027
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount21
totalSentences74
matches
0"Her voice cracked against the"
1"They never did."
2"Her lungs burned in the"
3"She clipped the corner, palm"
4"He knew the city."
5"He glanced back—just once—warm brown"
6"He was deciding something."
7"He veered off the main"
8"He hit a section of"
9"She drew her torch, swept"
10"She knew the maps."
11"She put her hand on"
12"She keyed her radio."
13"She thought of Morris."
14"His easy laugh."
15"She'd spent three years circling"
16"Her torch found a stairwell,"
17"He was speaking, fast, low,"
18"Her hand went to her"
19"She thought about backup that"
ratio0.284
74.86% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount57
totalSentences74
matches
0"Quinn watched the man burst"
1"Her voice cracked against the"
2"They never did."
3"Tomás Herrera vaulted a stack"
4"Quinn's boots found purchase where"
5"Her lungs burned in the"
6"She clipped the corner, palm"
7"He knew the city."
8"A taxi blared its horn"
9"Quinn followed two seconds behind,"
10"He glanced back—just once—warm brown"
11"He was deciding something."
12"He veered off the main"
13"Quinn felt the small hard"
14"He hit a section of"
15"Quinn pulled up short."
16"Rain ran cold down the"
17"She drew her torch, swept"
18"The gap yawned at her,"
19"She knew the maps."
ratio0.77
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences74
matches
0"As if it had felt"
1"To the reassuring weight of"
ratio0.027
89.29% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences40
technicalSentenceCount3
matches
0"Tomás Herrera vaulted a stack of crates outside the kitchen entrance, sent them clattering into the gutter, and bolted down the alley with the loose, economical…"
1"Herrera's wet footprints led down, fading already, and beneath them an old tiled sign read a station name that hadn't appeared on any line in seventy years."
2"The clique, the unexplained deaths, the cases that closed themselves before she could pry them open—it all ran down here into this amber-lit hollow beneath the …"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags4
uselessAdditionCount0
matches(empty)
25.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount1
fancyTags
0"she shouted (shout)"
dialogueSentences8
tagDensity0.375
leniency0.75
rawRatio0.333
effectiveRatio0.25
89.8705%