Run: 2026-07-25-01KYCQTV107VEMMM5AAT4RGDEN

Run Details

Duration:
52.1s
Cost:
$0.076295
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 came off the Camden rooftops in sheets, and Detective Harlow Quinn ran through it with her coat unbuttoned and her lungs burning. Forty metres ahead, Tomás Herrera vaulted a stack of pallets outside a shuttered kebab shop. He landed badly, stumbled, caught himself on a bollard, and kept going. The Saint Christopher on his neck flashed under a streetlight and then he was gone into the dark mouth of an alley. "Suspect heading north on Kentish Town Road," Quinn said into her shoulder radio. "Male, twenty-nine, olive complexion, dark jacket. I need a unit on Hawley Crescent." Static answered her. Then a voice, thin and stretched. "Say again, DI Quinn. You're breaking up." "Hawley Crescent. Now." She hit the alley at full speed and her boots slid out from under her on wet cardboard. Her hip took the wall. Pain flowered along her ribs, and she pushed off the brick and ran on, one hand pressed to her side. He was quick. She'd give him that. Eighteen years and she'd chased plenty of men through plenty of rain, and most of them ran like they were being chased. Herrera ran like a man with a destination. That was the part that worried her. He came out of the alley and cut left across the road. A night bus blared its horn and swerved, spray fanning up over the kerb, and Quinn went through the wake of it with water in her mouth and her eyes stinging. "Herrera!" she shouted. "You're not under arrest. I only want to talk." He looked back. Just once. Long enough for her to see his face in the wash of a shop window — wide-eyed, mouth open, and not afraid of her at all. Afraid *for* her. She'd seen that look before, three years ago, on the last night of DS Morris's life, and it put ice in her stomach. "Go home, Detective!" His accent thickened when he shouted. "Please. Go home." "Not tonight." He turned into the lock market and she followed him past the iron horse statues, past the closed stalls with their tarpaulins bucking in the wind. Her watch strap had soaked through and the leather chafed her wrist. She'd bought that watch the week she made detective constable. She thought about it sometimes at the strangest moments — the way the mind reaches for solid ground. Herrera hurdled a chain barrier and dropped down the steps beside the disused station entrance on Buck Street. The hoarding there had been up for as long as she could remember. Council notices, layered fly posters, a rusted gate. The gate was open. She slowed. Water ran off the end of her nose. She wiped it on her sleeve and stood at the top of the steps, breathing hard, staring down into a stairwell that should have been bricked shut in 1924. "Control," she said. "I'm at the old Tube entrance on Buck Street. Suspect has gone underground. Requesting backup and a torch." The radio hissed. Underneath the hiss, faintly, she heard something that was not English and not any language she recognised — a low murmuring, many voices, like a crowd heard through a wall. She turned the radio off. Down the steps. Ten of them, then a turn, then twelve more, and the sound of the rain died behind her as if a door had shut. The air changed. It went warm and dry and smelled of cardamom, of scorched sugar, of wet copper pennies. Somewhere below, a stringed instrument was being tuned by someone with no interest in getting it right. Old tile lined the walls. Cream and oxblood. An enamel sign said WAY OUT with an arrow pointing back the way she'd come, and someone had scratched through the arrow and drawn a new one pointing down. Quinn drew her extendable baton and let it fall open. The click echoed. "Herrera." Her voice went along the passage and came back wrong — a beat too late, and in a different pitch. She kept walking. Her right hand found the wall and stayed there. The passage opened onto a mezzanine above what had been a ticket hall, and Quinn stopped so suddenly her heel skidded. Below her, three hundred people were doing business. Stalls filled the hall, built from packing crates and scaffold poles and the ribs of something enormous that had never belonged to a cow. Lamps hung from cabling strung across the vaulted ceiling, and they burned in colours she had no words for — one of them shed light that made her hands look like they belonged to somebody else. A woman in a hijab weighed grey powder on brass scales. A man with no reflection in the mirror behind him haggled over a jar of eyes. Two children sat on an upturned crate, and their shadows were playing a different game to the one they were playing. Music. Smoke. Laughter. And beneath it all, that murmur she'd heard through the radio, coming from everywhere at once. Quinn's hand went to her jacket, to the notebook in the inside pocket, and stopped there. There was nothing to write. Morris had tried to tell her. In the hospital, before the end, with the tube in his throat and his fingers scratching at her palm — *the market, Harlow, they move it every month, you have to have a—* "Token," said a voice at her elbow. She spun. The baton came up. A woman stood there who had not been there a second earlier. Old, small, wrapped in a quilted coat, with a knitting bag over one arm and half a cigarette between her fingers. "You can't come down without a token, love. Rules is rules." The woman looked her up and down. "Police, is it? You've the shoulders for it." "Detective Inspector Quinn. Metropolitan Police." She hated how her voice shook. "A man came through here. Thirty seconds ago. Spanish, curly hair, scar on his left arm." "Tommy." The woman drew on the cigarette. "Lovely boy. Set my Terrence's shoulder back in, and never charged." "Where did he go?" "Down." The woman pointed with her chin towards the far end of the hall, where the old escalator shafts sank away into deeper dark. "Where else is there?" Quinn looked at the escalators. She looked at the stairs behind her, at the WAY OUT sign, at the rain she could no longer hear. "You want my advice," the woman said, "you go back up, you get in your car, you write in your report that you lost him in the crowd. Nobody checks. Nobody ever checks." "I don't lose people." "You already did, though. Didn't you." The woman said it kindly, which was worse. "That's why you're here. It's always why." Quinn's jaw worked. Her ribs throbbed. Down in the hall, someone rang a small bell three times and the crowd noise dipped, then swelled. "Bone token," she said. "That's the price of entry." "That's the price." "And if I don't have one?" The old woman reached into her knitting bag, rummaged past the wool, and drew out a flat white sliver the length of a thumb, worn smooth, scored with three notches. "Then you owe me," she said. "And that's a heavier thing than you know." Quinn looked at it lying in that wrinkled palm. Somewhere below, past the lamps and the smoke and the stalls, Tomás Herrera was running down a tunnel with the answer to three years of unanswered questions bouncing on a chain around his neck. She took the token. The bone was warm. "Which way to the escalators," she said.
created_at"2026-07-25T13:36:01.575Z" 7/25/2026, 1:36:01 PM
model"anthropic/claude-opus-5-20260723"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency5018
moderation_latency(null)
generation_time51986
tokens_prompt1104
tokens_completion1995
native_tokens_prompt1574
native_tokens_completion2737
native_tokens_completion_images(null)
native_tokens_reasoning190
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"
usage0.076295
router(null)
provider_responses
0
endpoint_id"76cb4608-f48c-483d-8da8-9957fb44244e"
id"msg_011CdNs756K2pUaqMJhaSjLs"
is_byokfalse
latency1899
model_permaslug"anthropic/claude-opus-5-20260723"
provider_name"Amazon Bedrock"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1784986561-O7TPtakDppbLAbd70BSC"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784986561-7myA7xNDX3DKhLP1iBnJ"
upstream_id"msg_011CdNs756K2pUaqMJhaSjLs"
total_cost0.076295
cache_discount(null)
upstream_inference_cost0
provider_name"Amazon Bedrock"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags13
adverbTagCount0
adverbTags(empty)
dialogueSentences33
tagDensity0.394
leniency0.788
rawRatio0
effectiveRatio0
96.06% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1269
totalAiIsmAdverbs1
found
0
adverb"suddenly"
count1
highlights
0"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)
84.24% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1269
totalAiIsms4
found
0
word"stomach"
count1
1
word"echoed"
count1
2
word"charged"
count1
3
word"throbbed"
count1
highlights
0"stomach"
1"echoed"
2"charged"
3"throbbed"
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
narrationSentences91
matches(empty)
95.76% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences91
filterMatches
0"watch"
1"look"
hedgeMatches
0"tried to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences110
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen35
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans2
markdownWords14
totalWords1275
ratio0.011
matches
0"for"
1"the market, Harlow, they move it every month, you have to have a—"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions13
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions27
wordCount1065
uniqueNames13
maxNameDensity0.85
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Camden1
Detective1
Harlow2
Quinn9
Tomás2
Herrera4
Saint1
Christopher1
Static1
Morris2
Buck1
Street1
English1
persons
0"Harlow"
1"Quinn"
2"Tomás"
3"Herrera"
4"Saint"
5"Christopher"
6"Static"
7"Morris"
8"Buck"
9"Street"
places(empty)
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences57
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1275
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences110
matches
0"seen that look"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs54
mean23.61
std19.97
cv0.846
sampleLengths
023
149
226
316
43
543
637
77
843
912
1057
1112
122
1366
1439
154
1639
1721
1833
195
2063
2137
2213
231
2420
2512
2621
278
28108
2919
3021
3139
327
336
3433
3526
3627
3718
384
3928
4025
4133
424
4321
4424
459
463
476
4830
4914
89.84% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences91
matches
0"was gone"
1"being chased"
2"been bricked"
3"being tuned"
88.89% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs180
matches
0"were doing"
1"were playing"
2"was running"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount7
semicolonCount0
flaggedSentences6
totalSentences110
ratio0.055
matches
0"Long enough for her to see his face in the wash of a shop window — wide-eyed, mouth open, and not afraid of her at all."
1"She thought about it sometimes at the strangest moments — the way the mind reaches for solid ground."
2"Underneath the hiss, faintly, she heard something that was not English and not any language she recognised — a low murmuring, many voices, like a crowd heard through a wall."
3"Her voice went along the passage and came back wrong — a beat too late, and in a different pitch."
4"Lamps hung from cabling strung across the vaulted ceiling, and they burned in colours she had no words for — one of them shed light that made her hands look like they belonged to somebody else."
5"In the hospital, before the end, with the tube in his throat and his fingers scratching at her palm — *the market, Harlow, they move it every month, you have to have a—*"
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1060
adjectiveStacks0
stackExamples(empty)
adverbCount31
adverbRatio0.029245283018867925
lyAdverbCount5
lyAdverbRatio0.0047169811320754715
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences110
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences110
mean11.59
std9.1
cv0.785
sampleLengths
023
115
212
322
413
513
63
76
87
93
1018
115
1220
133
144
1522
168
177
1812
1931
203
219
223
232
2426
253
2623
279
283
292
3026
3112
3210
3318
3418
3513
368
374
382
398
4029
413
4218
433
4430
455
463
4724
483
4916
82.12% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.509090909090909
totalSentences110
uniqueOpeners56
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences80
matches
0"Then a voice, thin and"
1"Somewhere below, a stringed instrument"
2"Somewhere below, past the lamps"
ratio0.038
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount23
totalSentences80
matches
0"He landed badly, stumbled, caught"
1"She hit the alley at"
2"Her hip took the wall."
3"He was quick."
4"She'd give him that."
5"He came out of the"
6"He looked back."
7"She'd seen that look before,"
8"His accent thickened when he"
9"He turned into the lock"
10"Her watch strap had soaked"
11"She'd bought that watch the"
12"She thought about it sometimes"
13"She wiped it on her"
14"She turned the radio off."
15"It went warm and dry"
16"Her voice went along the"
17"She kept walking."
18"Her right hand found the"
19"She hated how her voice"
ratio0.288
78.75% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount61
totalSentences80
matches
0"Rain came off the Camden"
1"He landed badly, stumbled, caught"
2"The Saint Christopher on his"
3"Quinn said into her shoulder"
4"Static answered her."
5"She hit the alley at"
6"Her hip took the wall."
7"Pain flowered along her ribs,"
8"He was quick."
9"She'd give him that."
10"Herrera ran like a man"
11"That was the part that"
12"He came out of the"
13"A night bus blared its"
14"He looked back."
15"She'd seen that look before,"
16"His accent thickened when he"
17"He turned into the lock"
18"Her watch strap had soaked"
19"She'd bought that watch the"
ratio0.763
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences80
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences40
technicalSentenceCount2
matches
0"A night bus blared its horn and swerved, spray fanning up over the kerb, and Quinn went through the wake of it with water in her mouth and her eyes stinging."
1"Underneath the hiss, faintly, she heard something that was not English and not any language she recognised — a low murmuring, many voices, like a crowd heard th…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags13
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags8
fancyCount1
fancyTags
0"she shouted (shout)"
dialogueSentences33
tagDensity0.242
leniency0.485
rawRatio0.125
effectiveRatio0.061
90.5220%