Run: 2026-02-19-01KHV72HMVJ9CSKRBYS502V9MT

Run Details

Duration:
34.1s
Cost:
$0.025653
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 Wardour Street, needling through the orange haze of the sodium lamps and turning the pavement into a black mirror. Quinn ran, her boots hammering the wet stone, her eyes locked on the figure sixty yards ahead of her. He was fast. She'd give him that. She'd spotted him outside the Raven's Nest twenty minutes ago, the olive-skinned man with the curly dark hair loitering near the green neon glow of the entrance sign. She'd seen him before — twice — at two separate scenes she couldn't explain. The same man, the same Saint Christopher medallion catching the light when he moved. When she'd stepped towards him he'd bolted without a word, which told her everything she needed to know about his conscience. "Herrera!" Her voice cracked against the buildings. "Metropolitan Police!" He glanced back once, just enough for her to catch his face — wide-eyed, jaw set — and then he cut left down a narrow passage between a boarded-up restaurant and a laundrette. Quinn followed, her shoulder clipping the corner of the building. The passage was barely wide enough for one person and stank of old bins and standing water. Her left foot punched through a puddle she'd mistaken for a shallow one, cold water flooding over her ankle, and she swore through her teeth and kept moving. She emerged onto a wider street and spotted him heading north, towards Camden. She pressed the radio on her shoulder. "Control, this is Quinn, DC badge four-seven-two. I'm in foot pursuit of a suspect, IC2 male, dark hair, heading north on"— she checked the street sign as she passed it —"Delancey Street. Requesting support." Static, then a woman's voice. "Received, Quinn. Nearest unit is eight minutes." Eight minutes. Herrera would be long gone in eight minutes. She pushed harder. He was fast but she was relentless, and relentlessness had always beaten fast over distance. She watched him tire in the slight forward drop of his shoulders, the way his stride started to shorten around the Camden High Street intersection. He knew it too, because he looked back again, properly this time, and she saw him calculating. Then he turned off the road entirely and vaulted a low iron railing. Quinn reached the railing four seconds later, gripped it and swung over without breaking pace. Ahead of her stretched a stretch of wasteland behind a shuttered civic building, the ground rutted and waterlogged. Herrera was picking his way across it towards what looked like a derelict service structure — a concrete box with a rusted steel door, the kind of utility housing the city had forgotten about for forty years. She called again. "There's nowhere to go, Tomás." He didn't answer. He reached the steel door, wrenched it open — it moved far too easily for a door that looked like that — and disappeared inside. Quinn stopped at the threshold. She hadn't radioed her new position. Eight minutes for backup to reach where she'd been; they'd have no idea she was here. Her torch was on her belt. She drew it and swept the beam through the doorway. Stairs. Concrete, old, leading down steeply. A smell came up from below — something she couldn't name immediately, something between woodsmoke and petrichor and burnt copper, layered over the cold mineral reek of deep underground air. Not a utility shaft. Something else. She thought of Morris. Three years ago Morris had followed something she didn't understand through a door she hadn't been able to explain, and they'd found him two days later in a way she still couldn't file in any category that made sense. She had spent three years trying to understand it and failing, and the only consistent thread she'd ever managed to pull was that the world had seams in it she hadn't known existed. She looked down the stairs. The torch beam caught movement below — Herrera, stopped at the bottom, looking up at her. "Detective." His accent was soft, Andalusian edges worn down by London years. "You don't want to come down here." "That's a first." She stepped onto the top stair. "People usually beg me not to arrest them. They don't usually try to talk me out of following them." "I'm not talking you out of anything. I'm telling you what's true." He moved his hands to show her they were empty. "You don't have jurisdiction down here. You don't have any kind of authority that means anything to anyone below that door." "What's below the door, Tomás?" He said nothing. The torchlight caught the Saint Christopher medallion swinging gently against his chest. She took another step down. Then another. The steel door stood open above her, rain-sound fading with each step until all she could hear was the concrete taking her weight and the distant, low murmur of what sounded — impossibly — like a crowd. Like a market. At the bottom of the stairs a tunnel stretched out before her, the walls old glazed tile, cream going yellow under light she couldn't source. Bare bulbs on a wire, some of them replaced with something that burned differently, a warmer and older colour than tungsten. The tunnel curved away and the crowd-sound grew. Quinn kept the torch up even though she didn't need it anymore. "Who are you buying from down here?" She watched his face. "What are you treating them for, and who are they?" He ran a hand through his wet curls and looked back down the tunnel, then at her. "You found one of them. Three years ago." A careful pause. "You didn't find all of him. I don't mean that cruelly. I mean it exactly how I said it." Quinn's jaw tightened. The worn leather of her watch strap felt suddenly cold against her wrist. "His name was Morris." "I know his name." The crowd-sound swelled around the curve of the tunnel. A bone token sat on a wooden shelf built into the wall at shoulder height, and below it, scratched into the tile in letters she shouldn't have been able to read, was a line of text that her brain translated before she could stop it, as though some part of her had always known the language: *leave what you are above ground or leave entirely.* Quinn stared at it for three seconds. Then she looked at Herrera, and Herrera looked back at her with something that wasn't quite pity and wasn't quite a warning, and she put the torch back on her belt and took the bone token off the shelf.
created_at"2026-02-19T15:07:41.429Z" 2/19/2026, 3:07:41 PM
model"anthropic/claude-4.6-sonnet-20260217"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency778
moderation_latency309
generation_time33211
tokens_prompt1140
tokens_completion1645
native_tokens_prompt1126
native_tokens_completion1485
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)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.025653
router(null)
provider_responses
0
endpoint_id"83d802cb-44f2-45a0-a9d5-cb9bf79777c8"
id"8b91f561-a147-40c9-8b01-181511d69265"
is_byokfalse
latency777
model_permaslug"anthropic/claude-4.6-sonnet-20260217"
provider_name"Amazon Bedrock"
status200
api_type"completions"
id"gen-1771513661-2cjs1OTdlGhheROZokJQ"
upstream_id"8b91f561-a147-40c9-8b01-181511d69265"
total_cost0.025653
cache_discount(null)
upstream_inference_cost0
provider_name"Amazon Bedrock"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags6
adverbTagCount0
adverbTags(empty)
dialogueSentences18
tagDensity0.333
leniency0.667
rawRatio0
effectiveRatio0
90.85% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1093
totalAiIsmAdverbs2
found
0
adverb"gently"
count1
1
adverb"suddenly"
count1
highlights
0"gently"
1"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)
86.28% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1093
totalAiIsms3
found
0
word"calculating"
count1
1
word"structure"
count1
2
word"weight"
count1
highlights
0"calculating"
1"structure"
2"weight"
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
narrationSentences67
matches(empty)
78.89% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount2
narrationSentences67
filterMatches
0"watch"
hedgeMatches
0"started to"
1"managed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences78
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen65
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords9
totalWords1096
ratio0.008
matches
0"leave what you are above ground or leave entirely."
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions8
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions29
wordCount936
uniqueNames14
maxNameDensity0.75
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Wardour1
Street2
Raven1
Nest1
Saint2
Christopher2
Camden2
Static1
High1
Morris2
Herrera5
Andalusian1
London1
Quinn7
persons
0"Saint"
1"Christopher"
2"Morris"
3"Herrera"
4"Andalusian"
5"Quinn"
places
0"Wardour"
1"Street"
2"Raven"
3"Camden"
4"High"
5"London"
globalScore1
windowScore1
0.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences46
glossingSentenceCount4
matches
0"looked like a derelict service structure"
1"looked like that — and disappeared inside"
2"something between woodsmoke and petrichor and b"
3"quite pity and wasn't quite a warning, and she put the torch back on her belt and took the bone token off the shelf"
4"quite a warning, and she put the torch back on her belt and took the bone token off the shelf"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1096
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences78
matches
0"was that the"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs40
mean27.4
std22.05
cv0.805
sampleLengths
043
17
277
39
433
555
613
741
812
910
103
1157
1213
1370
148
1528
165
1738
1842
194
2072
215
2216
2319
2428
2543
265
2715
2847
2954
3012
3121
3217
3330
3416
354
364
3774
387
3939
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences67
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs163
matches
0"was picking"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount11
semicolonCount1
flaggedSentences8
totalSentences78
ratio0.103
matches
0"She'd seen him before — twice — at two separate scenes she couldn't explain."
1"He glanced back once, just enough for her to catch his face — wide-eyed, jaw set — and then he cut left down a narrow passage between a boarded-up restaurant and a laundrette."
2"Herrera was picking his way across it towards what looked like a derelict service structure — a concrete box with a rusted steel door, the kind of utility housing the city had forgotten about for forty years."
3"He reached the steel door, wrenched it open — it moved far too easily for a door that looked like that — and disappeared inside."
4"Eight minutes for backup to reach where she'd been; they'd have no idea she was here."
5"A smell came up from below — something she couldn't name immediately, something between woodsmoke and petrichor and burnt copper, layered over the cold mineral reek of deep underground air."
6"The torch beam caught movement below — Herrera, stopped at the bottom, looking up at her."
7"The steel door stood open above her, rain-sound fading with each step until all she could hear was the concrete taking her weight and the distant, low murmur of what sounded — impossibly — like a crowd."
91.41% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount931
adjectiveStacks1
stackExamples
0"yellow under light she"
adverbCount40
adverbRatio0.04296455424274973
lyAdverbCount13
lyAdverbRatio0.013963480128893663
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences78
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences78
mean14.05
std11.72
cv0.834
sampleLengths
024
119
23
34
428
514
614
721
87
92
1033
1110
1217
1328
1413
157
1634
175
187
192
208
213
2215
2325
2417
2513
2615
2718
2837
293
305
313
3225
335
346
3516
366
3710
381
395
4030
414
422
434
4439
4533
465
4716
4812
497
60.68% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.41025641025641024
totalSentences78
uniqueOpeners32
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences63
matches
0"Then he turned off the"
1"Then she looked at Herrera,"
ratio0.032
29.52% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount30
totalSentences63
matches
0"He was fast."
1"She'd give him that."
2"She'd spotted him outside the"
3"She'd seen him before —"
4"Her voice cracked against the"
5"He glanced back once, just"
6"Her left foot punched through"
7"She emerged onto a wider"
8"She pressed the radio on"
9"she checked the street sign"
10"She pushed harder."
11"He was fast but she"
12"She watched him tire in"
13"He knew it too, because"
14"She called again."
15"He didn't answer."
16"He reached the steel door,"
17"She hadn't radioed her new"
18"Her torch was on her"
19"She drew it and swept"
ratio0.476
47.30% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount52
totalSentences63
matches
0"The rain came sideways down"
1"Quinn ran, her boots hammering"
2"He was fast."
3"She'd give him that."
4"She'd spotted him outside the"
5"She'd seen him before —"
6"The same man, the same"
7"Her voice cracked against the"
8"He glanced back once, just"
9"Quinn followed, her shoulder clipping"
10"The passage was barely wide"
11"Her left foot punched through"
12"She emerged onto a wider"
13"She pressed the radio on"
14"she checked the street sign"
15"Static, then a woman's voice."
16"Herrera would be long gone"
17"She pushed harder."
18"He was fast but she"
19"She watched him tire in"
ratio0.825
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences63
matches(empty)
ratio0
81.63% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences35
technicalSentenceCount3
matches
0"When she'd stepped towards him he'd bolted without a word, which told her everything she needed to know about his conscience."
1"Three years ago Morris had followed something she didn't understand through a door she hadn't been able to explain, and they'd found him two days later in a way…"
2"A bone token sat on a wooden shelf built into the wall at shoulder height, and below it, scratched into the tile in letters she shouldn't have been able to read…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags6
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
82.2189%