Run: 2026-04-24-01KPZV247X269N6HFZ41X6G498

Run Details

Duration:
28.8s
Cost:
$0.058020
Provider:
Amazon Bedrock

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 sheeted off the awnings along Camden High Street, turning the pavement into a broken mirror of red brake lights and sodium glare. Quinn ran through it with her coat open, radio dead against her hip, and the taste of pennies in her mouth. Ahead of her, Tomás Herrera cut left between two parked vans. "Herrera! Stop where you are!" He didn't. Of course he didn't. He'd already thrown one bin at her outside the chemist and vaulted a low wall behind the kebab shop. The Saint Christopher medallion had flashed once at his throat under a streetlamp, and then he'd been gone into the alley. She went after him, boots hammering puddles, rainwater slicking the back of her collar. Eighteen years on the job had taught her how a man ran when he was afraid of prison and how he ran when he was afraid of something worse. Herrera ran like the second kind. He wasn't trying to lose her in the crowd. He was trying to reach somewhere. The alley spat them out onto a side road she didn't know, terraces on one side, a chain-link fence sagging on the other. Beyond the fence, a stretch of tarmac the council had forgotten, weeds pushing up through cracks, and at the far end, the boarded mouth of a disused Underground station she'd walked past a hundred times without seeing. Herrera hit the fence and went over it in one movement, the scar on his forearm catching the light from a security lamp as he hauled himself up. He landed badly, rolled, came up limping, and kept going. "Tomás." She slowed at the fence, breath sawing. "Tomás, this is stupid. Ten minutes of your time. That's all." He half-turned. Water ran off his curls and down his face. For a second she thought he might actually speak. "You don't want to come in there, Detective." Then he was moving again, ducking under a sheet of corrugated iron that had been pried back just enough for a body to slip through. Quinn went over the fence. Her watch strap caught on the wire and tore, and she swore and kept climbing, dropping down on the other side with a jolt that ran up through her knees. The rain was heavier now, drumming on the corrugated iron like someone wanting in. She ducked under the sheet. The smell hit her first. Damp brick, yes, and that old Tube-tunnel smell of iron filings and cold air, but underneath it something else. Smoke that wasn't tobacco. Meat she couldn't place. A sweetness like crushed flowers gone just past their best. A staircase led down, tiled in the cream and oxblood of an earlier century. The tiles were chipped. Someone had lit the descent with candles in jam jars, wedged into every other stair. The flames didn't flicker in the draft. They should have. Quinn drew her baton. She'd left her radio out in the rain; the fence had killed it before the rain had. She thumbed it anyway. Static. Nothing. Morris, she thought, and then made herself not think it. Three years, and still his name came first whenever she stood at the top of a set of stairs she didn't want to go down. Footsteps below. A splash. Herrera, still moving. She took the first step. The jam-jar candles didn't flicker as she passed them. She watched one as her coat swept by it. The flame stood straight up, indifferent as a painting. She kept going. At the bottom, the ticket hall opened out, and her brain did a small stumble trying to file what it was seeing. Stalls. Dozens of them, tucked along the old platform walls, between the pillars, built from scaffold boards and packing crates and, in one case, what looked like a coffin turned on its side. A woman in a butcher's apron was weighing something on brass scales that had no weights. A boy no older than fifteen sat cross-legged behind a spread of teeth arranged by size. Somewhere a violin played two notes over and over, not a tune, a signal. Nobody looked at Quinn. Everybody saw her. A man at the nearest stall, tall, in a coat that reached his ankles, turned a page of a ledger without glancing up. "Token," he said. "What?" "Bone token. Or you leave. Those are the options, love. I don't make the rules, I just sit at the door." She could see Herrera. He was thirty yards ahead, pushing through a knot of buyers at a stall hung with dried things she refused to identify, heading for an archway at the far end of the platform. He'd slowed. Limping worse now. He glanced back once, and his face, under the lamp-glow, was not triumphant. It was apologetic. She turned back to the man with the ledger. "Police," she said, and watched his mouth quirk. "I'm pursuing a suspect. Step aside." "No such thing as police down here, pet. Token or out." Her hand went to her warrant card out of habit and stopped halfway. She felt, very clearly, the edge of a decision, the way she'd felt it three years ago on a stairwell in Deptford with Morris three steps ahead of her, and she had chosen then, and the choice had cost her everything she had not yet finished paying for. Above, rain. A wet street. Backup she could call once she climbed back up to signal. Procedure. A report written in a warm room. Herrera vanishing into a city that had already hidden him from her for six months. Below, Herrera. Answers. And whatever this place was, whatever it was that had not let the candle flames flicker. "I don't have a token," Quinn said. The man in the long coat finally looked up. His eyes were the ordinary brown of a man who had seen more than ordinary things. "Then you've got a choice to make, Detective. And you've got about four seconds to make it before your boy's through that arch and I can't help you either way." Quinn looked past him. Herrera had reached the archway. He paused, one hand on the brick, rain still dripping from the hem of his jacket onto the platform, and he looked back at her across the length of the market as if waiting to see what she was. She tightened her grip on the baton. She stepped forward.
created_at"2026-04-24T13:32:25.74Z" 4/24/2026, 1:32:25 PM
model"anthropic/claude-4.7-opus-20260416"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency932
moderation_latency(null)
generation_time28687
tokens_prompt1140
tokens_completion1532
native_tokens_prompt1579
native_tokens_completion2005
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"
usage0.05802
router(null)
provider_responses
0
endpoint_id"0fa65117-00d9-4835-808d-9b68041d9ce4"
id"cfa77959-dadc-411e-9198-abe1731a6115"
is_byokfalse
latency932
model_permaslug"anthropic/claude-4.7-opus-20260416"
provider_name"Amazon Bedrock"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777037545-5GJkdfuljKvaN4sjZTVq"
session_id(null)
api_type"completions"
id"gen-1777037545-5P1V0GArBGU0V3QxU50t"
upstream_id"cfa77959-dadc-411e-9198-abe1731a6115"
total_cost0.05802
cache_discount(null)
upstream_inference_cost0
provider_name"Amazon Bedrock"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags4
adverbTagCount0
adverbTags(empty)
dialogueSentences12
tagDensity0.333
leniency0.667
rawRatio0
effectiveRatio0
95.33% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1070
totalAiIsmAdverbs1
found
0
adverb"very"
count1
highlights
0"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)
81.31% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1070
totalAiIsms4
found
0
word"flicker"
count3
1
word"footsteps"
count1
highlights
0"flicker"
1"footsteps"
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
emotionTells2
narrationSentences87
matches
0"was afraid"
1"was afraid"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences87
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences95
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
totalWords1070
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions25
wordCount969
uniqueNames12
maxNameDensity0.83
worstName"Herrera"
maxWindowNameDensity1.5
worstWindowName"Herrera"
discoveredNames
Camden1
High1
Street1
Tomás1
Herrera8
Saint1
Christopher1
Underground1
Tube-tunnel1
Quinn6
Deptford1
Morris2
persons
0"Tomás"
1"Herrera"
2"Saint"
3"Christopher"
4"Quinn"
5"Morris"
places
0"Camden"
1"High"
2"Street"
3"Deptford"
globalScore1
windowScore1
51.96% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences51
glossingSentenceCount2
matches
0"looked like a coffin turned on its side"
1"as if waiting to see what she was"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1070
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences95
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs39
mean27.44
std22.03
cv0.803
sampleLengths
044
111
25
346
464
560
638
719
820
98
1025
1149
125
1342
1443
1527
1635
177
185
1930
20101
217
2223
233
241
2521
2658
279
2814
2911
3061
3139
3219
337
3425
3530
3648
377
383
93.16% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences87
matches
0"been gone"
1"been pried"
2"were chipped"
39.36% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs166
matches
0"wasn't trying"
1"was trying"
2"was seeing"
3"was weighing"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount1
flaggedSentences1
totalSentences95
ratio0.011
matches
0"She'd left her radio out in the rain; the fence had killed it before the rain had."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount975
adjectiveStacks0
stackExamples(empty)
adverbCount32
adverbRatio0.03282051282051282
lyAdverbCount4
lyAdverbRatio0.0041025641025641026
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences95
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences95
mean11.26
std9.88
cv0.877
sampleLengths
023
121
211
35
42
54
619
721
814
929
106
119
126
1323
1437
1528
1610
178
1811
192
209
219
228
2325
245
2530
2614
275
285
2919
304
314
3210
3314
344
3515
367
373
384
3917
404
411
421
4310
4425
452
462
473
485
499
76.84% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.5052631578947369
totalSentences95
uniqueOpeners48
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences73
matches
0"Of course he didn't."
1"Then he was moving again,"
2"Somewhere a violin played two"
ratio0.041
77.53% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount26
totalSentences73
matches
0"He'd already thrown one bin"
1"She went after him, boots"
2"He wasn't trying to lose"
3"He was trying to reach"
4"He landed badly, rolled, came"
5"She slowed at the fence,"
6"Her watch strap caught on"
7"She ducked under the sheet."
8"They should have."
9"She'd left her radio out"
10"She thumbed it anyway."
11"She took the first step."
12"She watched one as her"
13"She kept going."
14"She could see Herrera."
15"He was thirty yards ahead,"
16"He glanced back once, and"
17"It was apologetic."
18"She turned back to the"
19"she said, and watched his"
ratio0.356
49.04% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount60
totalSentences73
matches
0"Rain sheeted off the awnings"
1"Quinn ran through it with"
2"He'd already thrown one bin"
3"The Saint Christopher medallion had"
4"She went after him, boots"
5"Herrera ran like the second"
6"He wasn't trying to lose"
7"He was trying to reach"
8"The alley spat them out"
9"Herrera hit the fence and"
10"He landed badly, rolled, came"
11"She slowed at the fence,"
12"Water ran off his curls"
13"Quinn went over the fence."
14"Her watch strap caught on"
15"The rain was heavier now,"
16"She ducked under the sheet."
17"The smell hit her first."
18"Meat she couldn't place."
19"A sweetness like crushed flowers"
ratio0.822
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences73
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences37
technicalSentenceCount1
matches
0"Then he was moving again, ducking under a sheet of corrugated iron that had been pried back just enough for a body to slip through."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags4
uselessAdditionCount1
matches
0"She slowed, breath sawing"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount0
fancyTags(empty)
dialogueSentences12
tagDensity0.25
leniency0.5
rawRatio0
effectiveRatio0
85.4845%