Run: 2026-07-25-01KYCPMYTKCABQPQRWF67WPZ34

Run Details

Duration:
47.9s
Cost:
$0.070695
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
The rain came sideways down Frith Street, turning the tarmac into a smear of green and red neon. Quinn ran through it with her coat open, radio dead in her pocket, one hand braced against her ribs where the man had put an elbow six streets back. Ahead of her, Tomás Herrera cut left at the crossing and nearly went down on the wet kerb. He caught himself on a bollard, spun, and looked at her. That was the thing that kept her running. Not the fleeing — anyone ran from police, that was practically a civic tradition in Soho — but the look. Not guilt. Something closer to apology. "Herrera!" She shouted it into the rain. "You've been running eleven minutes. I've been running eighteen years. Do the maths." He went right, past the shuttered fabric shop, past a hen party spilling out of a doorway in matching pink sashes. Quinn shouldered through them. Someone screamed at her about her shoes. She kept the curly dark head in sight, bobbing between umbrellas, the pale flash of a bandaged forearm. She'd found him in the back of a flat above a dry cleaner's on Bateman Street, stitching a stab wound in a woman's shoulder with a curved needle and dental floss. No gloves. No paperwork. Six vials of something the colour of engine oil lined up on the kitchen counter and a Saint Christopher medallion swinging over the woman's collarbone as he bent to work. The woman had been up and walking within thirty seconds of Quinn kicking the door. Walking. With eight centimetres of open muscle in her deltoid. Quinn had eighteen years of decorated service and she had watched that happen, and there was no box on any form she knew how to tick for it. Herrera hit Charing Cross Road and the traffic swallowed him. Horns. A cyclist bailing into a puddle. Quinn timed the gap and went through the middle of it, palm slapping the bonnet of a black cab, the driver's mouth working behind the glass. "Police," she said, to nobody. Her lungs burned. Forty-one years old and she'd taken the stairs at the station for a decade specifically so this moment wouldn't hurt, and it hurt. North. He was going north. Past Foyles, past the crowds, and the crowds thinned as the theatres emptied and the streets narrowed into the wet dark behind Tottenham Court Road. She lost him at a corner, found him again by sound — trainers on standing water, that slap-slap rhythm, unmistakable. By the time she reached Camden the rain had stopped being weather and started being a condition. Her hair was flat to her skull. The leather watch strap on her left wrist had gone slick and cold, and she kept looking at it because she needed something with numbers on it, something that behaved. Herrera slowed. That was the first wrong thing. He stopped at the mouth of a hoarded-off building site on a street Quinn couldn't name, hands on his knees, chest heaving. He looked back at her — twenty metres, maybe less — and he was smiling. Not a taunt. The smile of a man who'd reached the top of a hill. "Don't," he said. Spanish under it, the vowels rounder than the rain. "Detective. Seriously. Don't." "Don't what." She kept walking. Slow. Hands loose. "Don't arrest you? That ship's already in the harbour, Tomás." "Don't come down." He pulled a sheet of plywood aside like a curtain. Behind it, a set of tiled stairs went into the ground, and the tiles were the wrong colour — that cream and oxblood of a Tube station that hadn't seen a train since her mother was in nappies. There was no roundel. No signage. Just the throat of it, and a green glow coming up from below that was not the green of an emergency light. "You're going into a disused station," she said. "Which is trespass, criminal damage, and about nine health and safety violations I'll enjoy reading out to you." "I'm going home." Herrera wiped rain off his face with his forearm. The bandage was pink now, soaked through. "You go to a hospital, you fill in a form. I go to the Market. It's the same thing. It's just that mine doesn't have a car park." "The Market." "You don't have a token." He said it gently, and that gentleness landed harder than a threat. "You go down there without a token, Detective, and nobody sells you anything. They sell you. Do you understand what I'm saying to you?" "No," Quinn said. "That's precisely the problem. I haven't understood a single thing since half nine this evening." He went down. She stood at the top of the stairs with the rain running off her nose and the plywood swinging on one nail, and she thought about DS Morris. Three years, four months. A Tuesday. Morris had gone into a stairwell in Deptford ahead of her because he always went in ahead of her, and she'd heard him say — clearly, calmly, in the voice he used for lost children and drunk students — *oh, you're not meant to be here.* Then nothing. Then a smell like hot copper. Then a stairwell with nobody in it and no exit but the one she was standing in, and eleven months of interviews in which she'd said *I don't know* until the words stopped meaning anything, until Professional Standards wrote *unexplained* on a document and filed the whole of him away. She'd carried that word around like a stone in her shoe ever since. *Unexplained.* As though it were a kind of answer. Down there, a woman with an open shoulder had stood up and walked. Quinn took her phone out. No signal. Of course. She typed the address into a note anyway — *Camden, hoarding, disused stn, Herrera T., 23:41* — and put it back in her pocket, and understood, doing it, that this was a ritual and not a precaution. Bread crumbs for nobody. Procedure said call it in. Procedure said wait for units, wait for a structural assessment, wait for a warrant, wait, wait, wait, and by then Herrera would be a rumour and whatever was down those stairs would have moved, because Herrera had said *moves* — no, he hadn't. He'd said *the Market*, and something in the way he'd said it, capital letter and all, meant it went somewhere else when it wanted to. There would not be another Tuesday. There would not be another chance to be at the top of the stairs. She thought: I have a warrant card and a can of spray and forty-one years of being reasonable. She thought: none of that helped Morris. The green light pulsed. Not flickeredpulsed, slow, like something breathing at the bottom of a well. Underneath it, faint, she could hear noise she recognised and couldn't place: the specific hum of a lot of people bargaining in a confined space. A tube of sound. Somewhere down there a bell rang three times and a hundred voices dropped to nothing and then came back up all at once. Quinn wiped her palm on her sodden coat, which achieved nothing at all, and put her hand on the tiled wall. "Right," she said. She went down two steps. The rain stopped touching her. Not stopped falling — stopped *touching her*, as though the stairwell had drawn a line and the weather respected it. The air came up warm and thick and smelled of salt, tallow, wet fur, and something sweet enough to make her back teeth ache. Three steps. Four. The green light found her hands and made them look like a stranger's. Behind her, the plywood swung shut with a sound like a shop door, and the little bell she hadn't seen jangled somewhere above her head, and every voice in the dark below her went quiet at once.
created_at"2026-07-25T13:15:20.281Z" 7/25/2026, 1:15:20 PM
model"anthropic/claude-opus-5-20260723"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1953
moderation_latency(null)
generation_time47772
tokens_prompt1104
tokens_completion1864
native_tokens_prompt1574
native_tokens_completion2513
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"
service_tier"default"
usage0.070695
router(null)
provider_responses
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endpoint_id"76cb4608-f48c-483d-8da8-9957fb44244e"
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is_byokfalse
latency1942
model_permaslug"anthropic/claude-opus-5-20260723"
provider_name"Amazon Bedrock"
status200
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request_id"req-1784985320-BjArRGqeB2SKk6EKv1Id"
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api_type"completions"
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upstream_id"msg_011CdNqXYsqLZ3jxqKzj1tP6"
total_cost0.070695
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provider_name"Amazon Bedrock"
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data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags9
adverbTagCount0
adverbTags(empty)
dialogueSentences18
tagDensity0.5
leniency1
rawRatio0
effectiveRatio0
92.39% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1314
totalAiIsmAdverbs2
found
0
adverb"gently"
count1
1
adverb"precisely"
count1
highlights
0"gently"
1"precisely"
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)
88.58% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1314
totalAiIsms3
found
0
word"pulsed"
count2
1
word"flickered"
count1
highlights
0"pulsed"
1"flickered"
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
narrationSentences93
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences93
filterMatches
0"watch"
1"look"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences102
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen50
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans8
markdownWords24
totalWords1327
ratio0.018
matches
0"oh, you're not meant to be here."
1"I don't know"
2"unexplained"
3"Unexplained."
4"Camden, hoarding, disused stn, Herrera T., 23:41"
5"moves"
6"the Market"
7"touching her"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions12
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions44
wordCount1190
uniqueNames24
maxNameDensity0.76
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Frith1
Street2
Tomás1
Herrera7
Soho1
Bateman1
Saint1
Christopher1
Quinn9
Charing1
Cross1
Road2
Foyles1
Tottenham1
Court1
Camden2
Spanish1
Slow1
Tube1
Morris3
Tuesday2
Deptford1
Professional1
Standards1
persons
0"Tomás"
1"Herrera"
2"Saint"
3"Christopher"
4"Quinn"
5"Foyles"
6"Camden"
7"Slow"
8"Morris"
9"Standards"
places
0"Frith"
1"Street"
2"Soho"
3"Bateman"
4"Charing"
5"Cross"
6"Road"
7"Tottenham"
8"Court"
9"Deptford"
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
totalMatches1
per1kWords0.754
wordCount1327
matches
0"no exit but"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences102
matches
0"carried that word"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs39
mean34.03
std23.67
cv0.696
sampleLengths
047
129
234
320
450
565
625
728
843
931
1050
1154
128
1352
1415
1518
163
1776
1826
1947
202
2141
2218
233
2428
25110
2622
2713
2850
2973
3020
3118
327
3370
3421
353
3654
3716
3837
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences93
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs191
matches
0"was going"
1"was standing"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount13
semicolonCount0
flaggedSentences9
totalSentences102
ratio0.088
matches
0"Not the fleeing — anyone ran from police, that was practically a civic tradition in Soho — but the look."
1"She lost him at a corner, found him again by sound — trainers on standing water, that slap-slap rhythm, unmistakable."
2"He looked back at her — twenty metres, maybe less — and he was smiling."
3"Behind it, a set of tiled stairs went into the ground, and the tiles were the wrong colour — that cream and oxblood of a Tube station that hadn't seen a train since her mother was in nappies."
4"Morris had gone into a stairwell in Deptford ahead of her because he always went in ahead of her, and she'd heard him say — clearly, calmly, in the voice he used for lost children and drunk students — *oh, you're not meant to be here.* Then nothing."
5"She typed the address into a note anyway — *Camden, hoarding, disused stn, Herrera T., 23:41* — and put it back in her pocket, and understood, doing it, that this was a ritual and not a precaution."
6"Procedure said wait for units, wait for a structural assessment, wait for a warrant, wait, wait, wait, and by then Herrera would be a rumour and whatever was down those stairs would have moved, because Herrera had said *moves* — no, he hadn't."
7"Not flickered — pulsed, slow, like something breathing at the bottom of a well."
8"Not stopped falling — stopped *touching her*, as though the stairwell had drawn a line and the weather respected it."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1181
adjectiveStacks0
stackExamples(empty)
adverbCount33
adverbRatio0.0279424216765453
lyAdverbCount7
lyAdverbRatio0.0059271803556308214
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences102
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences102
mean13.01
std11.35
cv0.873
sampleLengths
018
129
218
311
48
520
62
74
87
913
1021
114
127
1318
1431
152
162
1730
1815
191
209
2128
2210
231
246
2526
265
273
2823
291
304
3125
3220
3317
347
3530
362
376
3822
3915
403
4112
423
439
443
455
461
472
4810
493
63.73% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats10
diversityRatio0.4411764705882353
totalSentences102
uniqueOpeners45
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount4
totalSentences74
matches
0"Just the throat of it,"
1"Then a smell like hot"
2"Then a stairwell with nobody"
3"Somewhere down there a bell"
ratio0.054
95.68% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount23
totalSentences74
matches
0"He caught himself on a"
1"She shouted it into the"
2"He went right, past the"
3"She kept the curly dark"
4"She'd found him in the"
5"she said, to nobody"
6"Her lungs burned."
7"He was going north."
8"She lost him at a"
9"Her hair was flat to"
10"He stopped at the mouth"
11"He looked back at her"
12"She kept walking"
13"He pulled a sheet of"
14"He said it gently, and"
15"He went down."
16"She stood at the top"
17"She'd carried that word around"
18"She typed the address into"
19"He'd said *the Market*, and"
ratio0.311
100.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount52
totalSentences74
matches
0"The rain came sideways down"
1"Quinn ran through it with"
2"He caught himself on a"
3"That was the thing that"
4"Something closer to apology."
5"She shouted it into the"
6"He went right, past the"
7"Quinn shouldered through them."
8"Someone screamed at her about"
9"She kept the curly dark"
10"She'd found him in the"
11"The woman had been up"
12"Quinn had eighteen years of"
13"Herrera hit Charing Cross Road"
14"A cyclist bailing into a"
15"Quinn timed the gap and"
16"she said, to nobody"
17"Her lungs burned."
18"He was going north."
19"She lost him at a"
ratio0.703
67.57% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences74
matches
0"By the time she reached"
ratio0.014
74.83% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences42
technicalSentenceCount4
matches
0"Not the fleeing — anyone ran from police, that was practically a civic tradition in Soho — but the look."
1"The leather watch strap on her left wrist had gone slick and cold, and she kept looking at it because she needed something with numbers on it, something that be…"
2"Quinn wiped her palm on her sodden coat, which achieved nothing at all, and put her hand on the tiled wall."
3"Not stopped falling — stopped *touching her*, as though the stairwell had drawn a line and the weather respected it."
69.44% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags9
uselessAdditionCount1
matches
0"He said, and that gentleness landed harder than a threat"
94.44% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags7
fancyCount1
fancyTags
0"She shouted (shout)"
dialogueSentences18
tagDensity0.389
leniency0.778
rawRatio0.143
effectiveRatio0.111
91.5554%