Run: 2026-07-25-01KYCR0KGKPG8HYWVSTD6SHMG4

Run Details

Duration:
58.1s
Cost:
$0.085245
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. Quinn felt it find the gap between collar and neck, felt it run the length of her spine, and she kept running anyway, because forty metres ahead of her Tomás Herrera was still on his feet. "Herrera!" She had breath enough for the name and nothing else. "Stop!" He didn't. He cut left off Kentish Town Road, vaulted a low chain barrier outside a shuttered chicken shop, and the streetlight caught his medallion swinging loose from his shirt, a bright flick of silver against the dark. Quinn's radio crackled against her chest. "Control from six-two, I'm in foot pursuit, male IC3, mid-twenties—" she corrected herself mid-stride, "—late twenties, olive skin, dark curly hair, grey jacket, heading north towards Camden Road. Request units." "Six-two, received. Nearest unit is eight minutes." "Eight." "Traffic on the high street, ma'am. Burst water main." She let go of the transmit button and spent the air on running instead. Eighteen years and her knees knew every one of them. The pavement was slick with takeaway wrappers pasted flat by rain, and each step landed with a sound like a wet hand slapping stone. Herrera ran like a man who'd done it before, elbows in, head still, glancing back only at the corners. Paramedic's stamina. She'd read his file twice, once at her desk and once at two in the morning at her kitchen table with the whisky she didn't finish. Former paramedic. Struck off. Kept a lock-up in Haggerston with sutures, saline, blood-clotting agents, and two litres of something that had eaten through the plastic of its own container. He went right into an alley she didn't have a name for. "Herrera, you're not under arrest," she shouted at his back. "I want to talk about Morris." That landed. She watched it land — the hitch in his stride, the half-turn, the flash of white as he looked over his shoulder at her — and for one gorgeous second she thought he might stop. Then he ran harder. The alley narrowed. Bins, scaffolding, a stack of pallets that he shouldered aside so they toppled behind him, and Quinn hurdled the first and went through the second, splinters catching her coat. Her torch beam jumped along brick. Graffiti tags, a dead pigeon, a door with a padlock the size of her fist. At the far end the alley opened into the yard behind the old station. Camden Road Underground. Closed since 1924, everybody said, and Quinn had walked past its bricked-up frontage a hundred times without once thinking about what was still under it. Now Herrera hit the hoarding at a dead run, jammed his hand into a gap between two boards, and pulled. A whole panel swung out on hinges someone had oiled. "Don't." Quinn's voice cracked. "Tomás. Don't go in there." He looked at her. Rain running off his eyebrows, chest heaving, one hand on the panel. "Then don't follow me," he said. "Please. I'm asking you nicely, detective." "You want to be nice, you talk to me out here." "Out here isn't the problem." He wiped his mouth with the back of his wrist, and she saw the scar along his forearm catch the light — a long, badly healed seam from wrist to elbow. "Out here I'm just a bloke you've got nothing on. In there I'm nobody. So think about what that makes you." "Is that a threat?" "It's a favour." He stepped through the gap. Quinn got there four seconds later. Four seconds. She'd measure them out for the rest of her career. Behind the hoarding: a stairwell. Tiled walls in that municipal ox-blood red, half the tiles gone, the rest furred with something pale. The steps went down and kept going, further than any stairwell in London had a right to, and the air coming up out of them was warm. Not tunnel-warm. Not machine-warm. Body-warm, with a smell threaded through it — cardamom, wet copper, burnt sugar, and beneath all of that something rotten and floral, like lilies left three days in a vase. Her torch reached maybe twenty feet and then simply stopped, as though it had run into a wall of black felt. Quinn stood on the top step with rain hammering the hoarding at her back and heard, from below, the sound of a crowd. Not a party. A market. Hundreds of voices, layered, overlapping, and under them a low three-note drone like a hurdy-gurdy played by something with too much lung. Somebody laughed. Somebody hammered metal. A bell rang twice and the crowd noise dipped, then swelled. Under Camden. Under her city. "Control from six-two." Her thumb pressed the button. Nothing. Not static — nothing, a dead flatness, as if the radio had been switched off and she'd only imagined the weight of it. She checked her phone. No signal. The clock read 11:47 and then, while she watched, 11:47 again, and again. She put the phone away. Something on the third step down caught her torch. She crouched and picked it up: a disc of bone the size of a poker chip, yellowed, warm, drilled through with a hole off-centre. Symbols were scratched into both faces, worn smooth in the middle where a thumb had rubbed them a thousand times. Herrera's. It had to be. He'd been carrying it in the same hand he'd used to pull the panel. Quinn turned it over. There was a fleck of dried blood in one of the grooves. Three years ago she'd stood in a warehouse in Deptford with her torch on a chalk figure drawn around a drain, and DS Elliot Morris had said, *this is above our pay grade, Harlow*, and gone out for the car, and never come back. No body. No blood. A folded jacket on the driver's seat and the engine still running. She'd filed it as unresolved because that was the only box on the form that fit, and she'd spent thirty-six months being the only person at the station who couldn't let it go. *I want to talk about Morris.* And Herrera had flinched. Quinn stood up. Her thighs burned. Water ran off the hem of her coat and pattered on the tiles. Everything in her training said the same thing in the same flat voice: no comms, no backup, no light, no exit strategy, unknown numbers, unknown terrain. She could feel the shape of the report she'd write if she turned around. Suspect entered a derelict structure. Pursuit terminated on health and safety grounds. Nobody would question it. Nobody would even read it. She checked her watch instead of her phone — the old leather one, her father's — and it was still going. 11:52. Something honest in the world. "All right," she said to the dark. She kept her torch in her left hand and her right free, and she went down. The stairwell turned. Turned again. The rain sound cut off entirely between one step and the next, like a door closing, and the drone got louder, and the warmth came up around her knees, her waist, her face. The tiles gave way to brick, the brick to something older, blocks of pale stone fitted without mortar, and at the bottom the steps opened onto a platform. Lanterns hung from the tunnel's curved roof on chains — hundreds of them, glass and bone and one that was clearly a jar with something alive inside it, sculling in circles. Stalls ran the length of the platform and down onto the trackbed itself, awnings of stitched hide, tables piled with jars, feathers, folded paper, teeth. The crowd moved between them in a slow shuffle. Some of them wore raincoats. A woman with a ledger sat on a stool at the platform's edge, exactly where a ticket barrier would have been. "Token," she said, without looking up. Quinn held out the bone disc. The woman took it, weighed it in her palm, and then finally raised her head. Her eyes were the colour of dishwater and there were far too many lines around them for the smoothness of her face. "This isn't yours." "No," Quinn said. "The man who dropped it came through about two minutes ago. Where'd he go?" "That's not how any of this works, love." The woman set the token down on the ledger and flattened her hand over it. "You want in, you pay. You want to ask questions, you pay twice." Quinn looked past her, down the platform, into the shifting lantern-light and the hundreds of backs and faces, and caught — three stalls in, moving fast — the flash of a Saint Christopher medallion. She stepped over the line.
created_at"2026-07-25T13:39:10.881Z" 7/25/2026, 1:39:10 PM
model"anthropic/claude-opus-5-20260723"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency5909
moderation_latency(null)
generation_time57544
tokens_prompt1104
tokens_completion2240
native_tokens_prompt1574
native_tokens_completion3095
native_tokens_completion_images(null)
native_tokens_reasoning170
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"
usage0.085245
router(null)
provider_responses
0
endpoint_id"76cb4608-f48c-483d-8da8-9957fb44244e"
id"msg_011CdNsM1h4cWzuFTtEX16p1"
is_byokfalse
latency2158
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-1784986750-6MqKrnmZ9Cfb6BpVnrMk"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784986750-Qmu2AlosgQtwr8k2V0vY"
upstream_id"msg_011CdNsM1h4cWzuFTtEX16p1"
total_cost0.085245
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
totalTags12
adverbTagCount0
adverbTags(empty)
dialogueSentences25
tagDensity0.48
leniency0.96
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1444
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)
86.15% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1444
totalAiIsms4
found
0
word"weight"
count1
1
word"could feel"
count1
2
word"structure"
count1
3
word"warmth"
count1
highlights
0"weight"
1"could feel"
2"structure"
3"warmth"
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
narrationSentences107
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences107
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences120
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen44
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans2
markdownWords13
totalWords1453
ratio0.009
matches
0"this is above our pay grade, Harlow"
1"I want to talk about Morris."
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
totalMentions35
wordCount1307
uniqueNames15
maxNameDensity0.92
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Tomás1
Herrera5
Kentish1
Town1
Road3
Camden3
Haggerston1
Quinn12
Underground1
London1
Deptford1
Elliot1
Morris2
Saint1
Christopher1
persons
0"Tomás"
1"Herrera"
2"Quinn"
3"Elliot"
4"Morris"
5"Saint"
6"Christopher"
places
0"Kentish"
1"Town"
2"Road"
3"Camden"
4"Haggerston"
5"Underground"
6"London"
7"Deptford"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences60
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1453
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences120
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs52
mean27.94
std23.99
cv0.859
sampleLengths
044
112
238
336
47
51
69
714
881
929
1012
1116
1237
134
1453
1514
1658
179
1816
1912
2011
2157
224
238
2418
2583
2621
2723
2843
295
3051
315
3272
3316
3493
3510
3619
3761
3827
397
4016
4166
4270
4321
446
456
4637
473
4817
4936
98.70% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences107
matches
0"been switched"
1"were scratched"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs209
matches
0"was still going"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount11
semicolonCount0
flaggedSentences8
totalSentences120
ratio0.067
matches
0"\"Control from six-two, I'm in foot pursuit, male IC3, mid-twenties—\" she corrected herself mid-stride, \"—late twenties, olive skin, dark curly hair, grey jacket, heading north towards Camden Road. Request units.\""
1"She watched it land — the hitch in his stride, the half-turn, the flash of white as he looked over his shoulder at her — and for one gorgeous second she thought he might stop."
2"\"Out here isn't the problem.\" He wiped his mouth with the back of his wrist, and she saw the scar along his forearm catch the light — a long, badly healed seam from wrist to elbow."
3"Body-warm, with a smell threaded through it — cardamom, wet copper, burnt sugar, and beneath all of that something rotten and floral, like lilies left three days in a vase."
4"Not static — nothing, a dead flatness, as if the radio had been switched off and she'd only imagined the weight of it."
5"She checked her watch instead of her phone — the old leather one, her father's — and it was still going."
6"Lanterns hung from the tunnel's curved roof on chains — hundreds of them, glass and bone and one that was clearly a jar with something alive inside it, sculling in circles."
7"Quinn looked past her, down the platform, into the shifting lantern-light and the hundreds of backs and faces, and caught — three stalls in, moving fast — the flash of a Saint Christopher medallion."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount214
adjectiveStacks0
stackExamples(empty)
adverbCount4
adverbRatio0.018691588785046728
lyAdverbCount2
lyAdverbRatio0.009345794392523364
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences120
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences120
mean12.11
std10.42
cv0.861
sampleLengths
08
136
211
31
42
536
66
730
87
91
109
1114
1210
1324
1419
152
1626
172
182
1925
2012
2110
226
232
2435
254
263
2729
286
2915
3014
313
3225
3320
3410
354
365
374
3812
396
406
4111
4236
4321
444
458
466
472
4810
495
77.31% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.5042016806722689
totalSentences119
uniqueOpeners60
38.31% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences87
matches
0"Then he ran harder."
ratio0.011
82.07% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount30
totalSentences87
matches
0"She had breath enough for"
1"He cut left off Kentish"
2"she corrected herself mid-stride, \"—late"
3"She let go of the"
4"She'd read his file twice,"
5"He went right into an"
6"she shouted at his back"
7"She watched it land —"
8"Her torch beam jumped along"
9"He looked at her."
10"He wiped his mouth with"
11"He stepped through the gap"
12"She'd measure them out for"
13"Her torch reached maybe twenty"
14"Her thumb pressed the button"
15"She checked her phone."
16"She put the phone away."
17"She crouched and picked it"
18"It had to be."
19"He'd been carrying it in"
ratio0.345
51.95% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount71
totalSentences87
matches
0"Rain came down like it"
1"Quinn felt it find the"
2"She had breath enough for"
3"He cut left off Kentish"
4"Quinn's radio crackled against her"
5"she corrected herself mid-stride, \"—late"
6"She let go of the"
7"The pavement was slick with"
8"Herrera ran like a man"
9"She'd read his file twice,"
10"He went right into an"
11"she shouted at his back"
12"She watched it land —"
13"The alley narrowed."
14"Bins, scaffolding, a stack of"
15"Her torch beam jumped along"
16"Graffiti tags, a dead pigeon,"
17"Camden Road Underground."
18"A whole panel swung out"
19"Quinn's voice cracked"
ratio0.816
57.47% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences87
matches
0"Now Herrera hit the hoarding"
ratio0.011
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences48
technicalSentenceCount2
matches
0"Kept a lock-up in Haggerston with sutures, saline, blood-clotting agents, and two litres of something that had eaten through the plastic of its own container."
1"She'd filed it as unresolved because that was the only box on the form that fit, and she'd spent thirty-six months being the only person at the station who coul…"
83.33% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags12
uselessAdditionCount1
matches
0"she said, without looking up"
30.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags7
fancyCount3
fancyTags
0"she corrected (correct)"
1"she shouted (shout)"
2"Her thumb pressed (press)"
dialogueSentences25
tagDensity0.28
leniency0.56
rawRatio0.429
effectiveRatio0.24
86.8436%