Run: 2026-07-25-01KYCQPRDRSYHPB4ED5G0XJFYG

Run Details

Duration:
1m 2s
Cost:
$0.082670
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 down like it had a grudge, hammering the awnings along Old Compton Street, and Quinn stood in the doorway of a shuttered kebab shop with her collar up and her eyes on the green neon two doors down. The Raven's Nest. Third night she'd watched it. Third night nothing. Then the door swung and Tomás Herrera came out fast, hood up, a canvas satchel clamped under one arm like a rugby ball. Quinn stepped into the rain. "Herrera." He didn't turn. That was the tell — a man with nothing to hide turns when a stranger says his name. "Tomás Herrera. Metropolitan Police. I need five minutes." He ran. Eighteen years and her knees still knew the drill. She went after him, water sluicing over her boots, past the bins and the smokers and a man selling roses out of a bucket. Herrera cut left into Dean Street, vaulted a bollard, sent a puddle up in a sheet. "Stop! Police!" "I've done nothing," he shouted back, and his voice came ragged over his shoulder, the accent thick with effort. "Go home, Detective." "You know my rank. That's interesting." He didn't answer. He knocked a sandwich board flat and she hurdled it, one hand on a lamppost to swing the corner, and for four seconds she had him — close enough to see the satchel strap cutting into his shoulder, close enough to see the medallion swinging loose at his throat, silver flashing under the streetlight. Then a black cab braked and blared and she lost a stride going around it. Herrera hit Oxford Street and turned north through the crowd of Saturday drunks. Quinn keyed her radio. "Control, this is DI Quinn, foot pursuit, male IC3, dark hoodie, northbound Berwick to Oxford Street—" Static answered. Not the ordinary crackle. Something else, a sound like breath drawn backwards. "Control, repeat." The radio went dead in her hand. She shoved it in her pocket and ran. He knew the city. That was the thing that got under her skin. He didn't run like a panicked man, all straight lines and open ground. He ran like a man following a route he'd walked in daylight, checking it, timing it. Fitzrovia. A service alley behind a hotel where the kitchen extractors pumped hot grease into the rain. Over a wall she had to take in two moves, palms shredding on brick. "Herrera, listen to me—" She got the wall behind her, found him twenty metres ahead, slowing at the mouth of the alley. "I don't care about the drugs." He stopped. Rain fell between them, lit orange from above. "Then what do you care about?" He was breathing hard, one hand braced on the wall. "Because I know your name too, Detective. Everyone in that bar knows your name." "Three years ago I lost a colleague. DS Morris. Nobody could tell me how he died." Something crossed his face. Pity, and she hated it more than she'd have hated a knife. "You should let that go." "Not built that way." "No." He almost smiled. "No, they said that as well." Then he was gone — sideways, through a gap in the hoarding of a building site, and Quinn went after him with her lungs burning and her hair plastered flat. Euston Road. A night bus dragged its lit windows past. He crossed against the traffic, hand up like a man conducting an orchestra, and horns screamed and Quinn came through the gap two cars behind him with her heart going hard enough to hurt. Camden. Rain and kebab meat and the canal smell. He turned off the high street into the tangle behind the lock, past a mural of a woman with a bird's head, and Quinn's boot caught a broken kerb and she went down on one knee in filth, up again, tasting copper. "You're not fit enough for this," he called. "I'm forty-one, not dead." He led her to a hoarding of blue plywood outside a boarded shopfront — CAMDEN ROAD DISUSED STATION, ONE-WAY DEMOLITION NOTICE, all of it papered over with flyers for club nights that didn't exist. Herrera hit the plywood with his shoulder and a section swung inward on hinges she hadn't seen. Quinn reached it eight seconds later. Put her hand on the wet wood. It swung. Below her, stairs went down. Tiled walls, cream and oxblood, the old Underground livery furred with damp. Someone had strung lamps along the ceiling — not electric. The light in them moved like something alive, blue-white, and it threw her shadow up the stairwell in the wrong direction. Her hand went to the radio out of habit. Dead weight. "Right," she said to nobody. Eighteen years. She had a protocol for this. You did not pursue a suspect into a confined subterranean space without backup, without a torch, without comms, without any idea of the layout. You held the exit. You called it in. You waited. The stairs breathed at her. Warm air, and under the damp a smell she couldn't file — cardamom, singed hair, meltwater. Sound came up with it. Voices. Dozens of them, a market hum, the rise and fall of haggling, and someone laughing, and a bell rung three times. She thought about Morris. She thought about the sealed box in her locker with his personal effects in it, the ones she'd never logged because the paperwork would have raised questions she couldn't answer: his warrant card, his wedding ring, and a flat disc of yellowed bone with a hole punched in it and a spiral scratched on one face. She'd carried it in her coat pocket for three years the way other people carried a photograph. Quinn took it out. It was warmer than her hand. "Bad idea," she said, and went down. Twelve steps. Twenty. The lamps hummed as she passed under them. The tiles gave way to a lower landing where an old advertisement for Bovril had been painted over with a single word in a script that hurt to look at directly, and past that the stairs opened out onto a platform. She stopped on the last step. The platform ran away into the dark for two hundred metres, and it was full. Stalls built out of scaffold poles and tarpaulin. A woman selling teeth from a velvet tray. A man in a butcher's apron holding a cage that shook. Smoke going up in ropes to a ceiling that shouldn't have been that high. Down where the tracks used to be, someone had laid boards, and there were more stalls on the boards, and more people, and not all of them walked like people. Nobody looked at her. Except the man at the bottom of the stairs. Seven feet if he was an inch, in a Barbour jacket, with a length of chain hanging from one fist and eyes with no white to them at all. "Token." Quinn held up the bone disc. He took it. Turned it over. Ran a thumb across the spiral, and something in his face shifted — not surprise. Recognition. "This isn't yours." "It was left to me." "Not the same thing." He handed it back and stepped aside, chain rattling against his leg. "Keep your hands where I can see them. Don't buy anything. Don't give anyone your name." Twenty metres down the platform, Herrera looked back at her over the heads of the crowd, and the satchel was gone from under his arm. Quinn stepped off the stairs onto the tiles.
created_at"2026-07-25T13:33:47.959Z" 7/25/2026, 1:33:47 PM
model"anthropic/claude-opus-5-20260723"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency11546
moderation_latency(null)
generation_time61644
tokens_prompt1104
tokens_completion1996
native_tokens_prompt1574
native_tokens_completion2992
native_tokens_completion_images(null)
native_tokens_reasoning225
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"
usage0.08267
router(null)
provider_responses
0
endpoint_id"76cb4608-f48c-483d-8da8-9957fb44244e"
id"msg_011CdNrwdZACPTXwuj8v18oh"
is_byokfalse
latency8270
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-1784986428-y1OO6Xs2PVFUPQUFQDA1"
session_id(null)
preset_id(null)
api_type"completions"
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upstream_id"msg_011CdNrwdZACPTXwuj8v18oh"
total_cost0.08267
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
46.15% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags7
adverbTagCount2
adverbTags
0"he shouted back [back]"
1"He was breathing hard [hard]"
dialogueSentences26
tagDensity0.269
leniency0.538
rawRatio0.286
effectiveRatio0.154
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1250
totalAiIsmAdverbs0
found(empty)
highlights(empty)
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)
88.00% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1250
totalAiIsms3
found
0
word"electric"
count1
1
word"weight"
count1
2
word"velvet"
count1
highlights
0"electric"
1"weight"
2"velvet"
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
narrationSentences96
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences96
filterMatches
0"NOTICE"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences114
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
totalWords1257
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions10
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions43
wordCount1112
uniqueNames21
maxNameDensity0.9
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Old1
Compton1
Street3
Quinn10
Raven1
Nest1
Tomás1
Herrera5
Dean1
Oxford1
Saturday1
Road1
Underground1
Eighteen2
Morris1
Twelve1
Bovril1
Barbour1
Twenty2
Rain3
You4
persons
0"Quinn"
1"Raven"
2"Tomás"
3"Herrera"
4"Morris"
5"Twelve"
6"Bovril"
7"You"
places
0"Old"
1"Compton"
2"Street"
3"Dean"
4"Oxford"
5"Road"
6"Barbour"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences58
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1257
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences114
matches
0"past that the"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs58
mean21.67
std20.47
cv0.945
sampleLengths
040
111
223
35
41
521
68
72
849
92
1022
116
1257
1315
1417
1516
1614
172
1815
1973
2028
212
228
2330
2416
2516
265
274
2810
2930
3044
3151
328
334
3451
3515
3648
3711
385
3942
4021
4127
4277
4310
447
4552
466
4786
484
4938
94.30% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences96
matches
0"was gone "
1"been painted"
2"was gone"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs173
matches
0"was breathing"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount7
semicolonCount0
flaggedSentences7
totalSentences114
ratio0.061
matches
0"That was the tell — a man with nothing to hide turns when a stranger says his name."
1"He knocked a sandwich board flat and she hurdled it, one hand on a lamppost to swing the corner, and for four seconds she had him — close enough to see the satchel strap cutting into his shoulder, close enough to see the medallion swinging loose at his throat, silver flashing under the streetlight."
2"Then he was gone — sideways, through a gap in the hoarding of a building site, and Quinn went after him with her lungs burning and her hair plastered flat."
3"He led her to a hoarding of blue plywood outside a boarded shopfront — CAMDEN ROAD DISUSED STATION, ONE-WAY DEMOLITION NOTICE, all of it papered over with flyers for club nights that didn't exist."
4"Someone had strung lamps along the ceiling — not electric."
5"Warm air, and under the damp a smell she couldn't file — cardamom, singed hair, meltwater."
6"Ran a thumb across the spiral, and something in his face shifted — not surprise."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1107
adjectiveStacks0
stackExamples(empty)
adverbCount23
adverbRatio0.02077687443541102
lyAdverbCount1
lyAdverbRatio0.0009033423667570009
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences114
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences114
mean11.03
std10.89
cv0.988
sampleLengths
040
13
25
33
423
55
61
73
818
98
102
119
1224
1316
142
1519
163
176
183
1954
2015
2113
224
2316
242
254
268
272
287
298
304
319
3213
3316
341
3516
3614
3722
386
392
408
4116
4214
4316
444
4512
465
474
484
496
70.76% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats11
diversityRatio0.4824561403508772
totalSentences114
uniqueOpeners55
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences81
matches
0"Then the door swung and"
1"Then a black cab braked"
2"Then he was gone —"
ratio0.037
76.79% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount29
totalSentences81
matches
0"He didn't turn."
1"She went after him, water"
2"he shouted back, and his"
3"He didn't answer."
4"He knocked a sandwich board"
5"She shoved it in her"
6"He knew the city."
7"He didn't run like a"
8"He ran like a man"
9"She got the wall behind"
10"He was breathing hard, one"
11"He almost smiled"
12"He crossed against the traffic,"
13"He turned off the high"
14"He led her to a"
15"Her hand went to the"
16"she said to nobody"
17"She had a protocol for"
18"You did not pursue a"
19"You held the exit."
ratio0.358
89.63% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount60
totalSentences81
matches
0"Rain came down like it"
1"The Raven's Nest."
2"Quinn stepped into the rain."
3"He didn't turn."
4"That was the tell —"
5"She went after him, water"
6"Herrera cut left into Dean"
7"he shouted back, and his"
8"He didn't answer."
9"He knocked a sandwich board"
10"Herrera hit Oxford Street and"
11"Quinn keyed her radio."
12"Something else, a sound like"
13"The radio went dead in"
14"She shoved it in her"
15"He knew the city."
16"That was the thing that"
17"He didn't run like a"
18"He ran like a man"
19"A service alley behind a"
ratio0.741
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences81
matches(empty)
ratio0
77.92% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences33
technicalSentenceCount3
matches
0"He led her to a hoarding of blue plywood outside a boarded shopfront — CAMDEN ROAD DISUSED STATION, ONE-WAY DEMOLITION NOTICE, all of it papered over with flyer…"
1"The tiles gave way to a lower landing where an old advertisement for Bovril had been painted over with a single word in a script that hurt to look at directly, …"
2"A man in a butcher's apron holding a cage that shook."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags7
uselessAdditionCount0
matches(empty)
73.08% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount2
fancyTags
0"he shouted back (shout)"
1"He was breathing hard (be breathe)"
dialogueSentences26
tagDensity0.192
leniency0.385
rawRatio0.4
effectiveRatio0.154
87.2210%