Run: 2026-05-29-01KSSK9RTXAR4DW0TN8H8HSRTS

Run Details

Duration:
41.6s
Cost:
$0.058245
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 sideways, slapping against the brick and turning the gutters of Camden High Street into black rivers. Quinn ran with her coat plastered to her back, one hand gripping her torch, the other pumping at her side. Twenty metres ahead, the man kept moving, ducking between the shuttered market stalls and the skeletons of folded umbrellas. "Herrera! Stop—police!" He didn't stop. Of course he didn't. They never did. She'd clocked him outside the bar in Soho an hour ago, that green neon stuttering against the wet pavement, and she'd followed the cab here on instinct alone. Eighteen years on the job taught you to read a man's shoulders. Tomás Herrera carried himself like someone with something to bury. He cut left down an alley. Quinn followed, her boots skidding on the slick cobbles, her shoulder clipping a downpipe. The torch beam swung wild across the walls—graffiti, a dead pigeon, a steel door rusted shut. "You're only making this worse for yourself," she called. Her breath sawed. "I just want to talk." A lie, and they both knew it. She wanted a great deal more than talk. The alley dead-ended at a chain-link fence, and for one bright second she thought she had him. Then he went down. Not tripped—down, deliberate, dropping to his knees beside a sheet of corrugated iron propped against the wall. He hauled it aside and a black mouth opened in the ground, the top of a stairwell choked with weeds. "Herrera, don't—" He looked back. Just once. The rain ran off the dark curls stuck to his forehead, and in the torchlight she caught his eyes, warm brown and wide with something that wasn't quite fear. Something closer to pity. "You don't want to come down here," he said. "Trust me on that, Detective." Then he was gone, swallowed into the dark. Quinn reached the opening and crouched. The stairwell descended past the reach of her torch, the steps furred with damp. Cold air pushed up against her face, and it carried a smell she couldn't place—copper and incense and something sweetly rotten, like flowers left too long in their water. Below, faint, she heard it. Voices. Many of them. A market's hum, where there should have been nothing but a dead tunnel and rats. She knelt there with the rain hammering her back and did the arithmetic. No backup. She'd called none, because calling backup meant explaining why a decorated detective was chasing an unlicensed medic on her own time, off the books, three weeks past the point her DCI had told her to drop it. It meant explaining the thing she couldn't explain—the file she kept in her flat, not the station, the photographs of Morris's last known movements, the way every thread of that case led to people like Herrera and places like this. Three years. Three years she'd carried the weight of a partner who'd walked into a routine call and never walked out, and no one could tell her how a man bled out in a locked room with no wound on him. She thought of Morris's wife at the funeral, asking her—just asking—what happened. And Quinn standing there with nothing. The voices below rose and fell like surf. "Sod it," she breathed, and went down. The stairs took her deeper than they should have. She counted thirty steps, then forty, the temperature dropping with each, the tiled walls giving way to bare earth shored up with old timber. Her torch picked out a doorway ahead, and across it a strip of fabric the colour of dried blood. A figure stood beside it, hooded, motionless. Quinn slowed. "Token," the figure said. The voice was neither male nor female, a dry rasp like pages turning. "Metropolitan Police." She held up her warrant card. "I'm pursuing a—" "Token, or you don't pass." She stared. Under the hood there was a face, but it kept slipping out of focus, the way a word does when you stare at it too long. Her stomach turned over. "A man just came through here. Curly hair, scar on his arm. I need—" "He had a token." The figure tilted its head. "You have a warrant card. Different doors open to different keys, Detective." Behind the gatekeeper, the strip of cloth shifted, and through the gap she saw it. The Veil Market. Lanterns hung in the dark with no flame inside them, just light, cold and green and gold. Stalls stretched into the gloom, and across them spilled things her mind refused to file—jars that pulsed, knives that drank the lamplight rather than reflecting it, cages of birds that didn't move and weren't birds. The crowd moved between them, and not all of it was shaped like people. Quinn's hand found her sidearm without her asking it to. She saw Herrera. Far across the floor, pushing through the press of bodies, casting one glance over his shoulder before a tall figure in a long coat folded an arm around him and steered him out of sight behind a hanging tapestry. "He's a witness in a murder inquiry," Quinn said, and hated how thin her voice sounded down here. "Let me through." The gatekeeper didn't move. "There are no police here. There is no law you carry that means anything past this cloth. The men who come down with a badge and a gun—" the rasp almost sounded gentle, "—they go up again as something else, or they don't go up at all. Is that the trade you want to make?" Rain dripped from Quinn's coat onto the dirt floor. Somewhere in the market, something laughed, low and wrong. She thought of Morris. The locked room. No wound. The case file no one would touch. Every road led here, to a door she could not open with anything she'd ever been given. Her thumb moved over the leather strap of her watch, worn soft by three years of the same nervous habit. "What does a token cost," she said, "and where do I get one?" The hooded thing went very still. Then, slow, it laughed too. "Now," it said, "that is the right question."
created_at"2026-05-29T10:08:26.471Z" 5/29/2026, 10:08:26 AM
model"anthropic/claude-4.8-opus-20260528"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency5483
moderation_latency(null)
generation_time41554
tokens_prompt1140
tokens_completion1559
native_tokens_prompt1574
native_tokens_completion2015
native_tokens_completion_images(null)
native_tokens_reasoning47
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"
usage0.058245
router(null)
provider_responses
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id"msg_01NjDKXNHt4bQzxLdQbUjyHs"
is_byokfalse
latency3874
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-1780049306-mbSxEH7VChmfIu3fIQ8I"
session_id(null)
api_type"completions"
id"gen-1780049306-2xDgGtf7Kun8azGOFRhM"
upstream_id"msg_01NjDKXNHt4bQzxLdQbUjyHs"
total_cost0.058245
cache_discount(null)
upstream_inference_cost0
provider_name"Anthropic"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags10
adverbTagCount0
adverbTags(empty)
dialogueSentences19
tagDensity0.526
leniency1
rawRatio0
effectiveRatio0
90.35% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1036
totalAiIsmAdverbs2
found
0
adverb"sweetly"
count1
1
adverb"very"
count1
highlights
0"sweetly"
1"very"
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)
71.04% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1036
totalAiIsms6
found
0
word"pumping"
count1
1
word"carried the weight"
count1
2
word"stomach"
count1
3
word"gloom"
count1
4
word"pulsed"
count1
5
word"tapestry"
count1
highlights
0"pumping"
1"carried the weight"
2"stomach"
3"gloom"
4"pulsed"
5"tapestry"
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
narrationSentences78
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences78
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences87
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen56
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1027
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions15
unquotedAttributions1
matches
0"Then, slow, it laughed too."
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions21
wordCount900
uniqueNames10
maxNameDensity0.89
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Camden1
High1
Street1
Soho1
Herrera3
Morris3
Quinn8
Veil1
Market1
Rain1
persons
0"Herrera"
1"Morris"
2"Quinn"
3"Rain"
places
0"Camden"
1"High"
2"Street"
3"Soho"
4"Market"
globalScore1
windowScore1
97.92% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences48
glossingSentenceCount1
matches
0"quite fear"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.974
wordCount1027
matches
0"neither male nor"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences87
matches
0"Is that the"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs37
mean27.76
std22.04
cv0.794
sampleLengths
058
12
210
350
436
517
615
758
82
938
1014
118
1273
1313
1479
1541
1618
178
187
1961
2017
2111
225
2332
2414
2521
2618
2776
2842
2921
3059
3118
3233
3320
3413
3511
368
91.77% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences78
matches
0"was gone"
1"was shaped"
2"been given"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs158
matches
0"was chasing"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount8
semicolonCount0
flaggedSentences7
totalSentences87
ratio0.08
matches
0"The torch beam swung wild across the walls—graffiti, a dead pigeon, a steel door rusted shut."
1"Not tripped—down, deliberate, dropping to his knees beside a sheet of corrugated iron propped against the wall."
2"Cold air pushed up against her face, and it carried a smell she couldn't place—copper and incense and something sweetly rotten, like flowers left too long in their water."
3"It meant explaining the thing she couldn't explain—the file she kept in her flat, not the station, the photographs of Morris's last known movements, the way every thread of that case led to people like Herrera and places like this."
4"She thought of Morris's wife at the funeral, asking her—just asking—what happened."
5"Stalls stretched into the gloom, and across them spilled things her mind refused to file—jars that pulsed, knives that drank the lamplight rather than reflecting it, cages of birds that didn't move and weren't birds."
6"\"There are no police here. There is no law you carry that means anything past this cloth. The men who come down with a badge and a gun—\" the rasp almost sounded gentle, \"—they go up again as something else, or they don't go up at all. Is that the trade you want to make?\""
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount834
adjectiveStacks0
stackExamples(empty)
adverbCount22
adverbRatio0.026378896882494004
lyAdverbCount1
lyAdverbRatio0.001199040767386091
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences87
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences87
mean11.8
std10.59
cv0.897
sampleLengths
019
120
219
32
43
54
63
728
812
910
106
1114
1216
139
143
155
167
178
1817
194
2017
2120
222
233
242
2529
264
279
285
298
306
3114
3229
335
341
353
3615
3713
382
3937
4040
412
4239
4312
446
458
467
479
4824
4919
79.31% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats1
diversityRatio0.4827586206896552
totalSentences87
uniqueOpeners42
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount5
totalSentences67
matches
0"Of course he didn't."
1"Then he went down."
2"Then he was gone, swallowed"
3"Somewhere in the market, something"
4"Then, slow, it laughed too."
ratio0.075
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount20
totalSentences67
matches
0"He didn't stop."
1"They never did."
2"She'd clocked him outside the"
3"He cut left down an"
4"Her breath sawed."
5"She wanted a great deal"
6"He hauled it aside and"
7"He looked back."
8"She knelt there with the"
9"She'd called none, because calling"
10"It meant explaining the thing"
11"She thought of Morris's wife"
12"she breathed, and went down"
13"She counted thirty steps, then"
14"Her torch picked out a"
15"She held up her warrant"
16"Her stomach turned over."
17"She saw Herrera."
18"She thought of Morris."
19"Her thumb moved over the"
ratio0.299
79.40% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount51
totalSentences67
matches
0"The rain came sideways, slapping"
1"Quinn ran with her coat"
2"He didn't stop."
3"They never did."
4"She'd clocked him outside the"
5"Tomás Herrera carried himself like"
6"He cut left down an"
7"Quinn followed, her boots skidding"
8"The torch beam swung wild"
9"Her breath sawed."
10"A lie, and they both"
11"She wanted a great deal"
12"The alley dead-ended at a"
13"He hauled it aside and"
14"He looked back."
15"The rain ran off the"
16"Something closer to pity."
17"Quinn reached the opening and"
18"The stairwell descended past the"
19"A market's hum, where there"
ratio0.761
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences67
matches(empty)
ratio0
75.89% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences32
technicalSentenceCount3
matches
0"Quinn followed, her boots skidding on the slick cobbles, her shoulder clipping a downpipe."
1"The rain ran off the dark curls stuck to his forehead, and in the torchlight she caught his eyes, warm brown and wide with something that wasn't quite fear."
2"Stalls stretched into the gloom, and across them spilled things her mind refused to file—jars that pulsed, knives that drank the lamplight rather than reflectin…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags10
uselessAdditionCount0
matches(empty)
97.37% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags7
fancyCount1
fancyTags
0"she breathed (breathe)"
dialogueSentences19
tagDensity0.368
leniency0.737
rawRatio0.143
effectiveRatio0.105
89.4350%