Run: 2026-04-24-01KQ0G7WZ596R43GFCF5S3CY5X

Run Details

Duration:
29.5s
Cost:
$0.062395
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 in sheets, turning the Camden pavement into a black mirror that fractured with every footfall. Quinn ran hard, the breath sawing in her throat, her coat plastered to her back. Twenty metres ahead, Tomás Herrera ducked between a shuttered kebab shop and a row of wheelie bins, his jacket flashing once under the sodium glare of a streetlamp before the dark swallowed him again. "Herrera! Stop where you are!" The shout tore loose and vanished into the downpour. He didn't slow. She hadn't expected him to. Her boots hammered the kerb. She'd clocked him an hour ago on the CCTV feed outside Silas's place, loitering by the green neon of the Raven's Nest with a medical bag slung over one shoulder, and she'd moved on instinct. No backup. No warrant. Just the gut-hot certainty she'd been chasing for eleven months, ever since the file on her desk had started growing thicker than the one she kept on Morris. Herrera hit the mouth of the alley and cut left. Quinn slid round the corner, shoulder banging brick, and caught sight of him vaulting a low wire fence into the yard of a bricked-up pub. He moved like somebody who'd been running from worse things than police. "I just want to talk," she called, not believing it herself. He glanced back. A single look, warm brown eyes widening as a headlight caught them, and then he was over the fence and gone. The Saint Christopher at his throat winked once. She cleared the wire in two strides, landed wrong, felt the jolt climb her knee to her hip. Kept moving. Rain ran down the inside of her collar, over the leather strap of her watch, cold as a blade. Her radio was in her pocket. She did not reach for it. The yard emptied onto Camden High Street. Saturday-night crowds still thronged the pavements despite the weather, drunks huddled under awnings, couriers weaving through traffic, a busker packing up a sodden guitar case. Herrera shoved through them like a man parting reeds. Quinn flashed her warrant card at a bouncer who tried to step into her path and heard him shout something lost in the hiss of passing tyres. She caught a glimpse of Herrera at the lights, then lost him in a knot of girls in plastic ponchos, then found him again as he bolted across the road between a night bus and a taxi that leaned on its horn. The driver's face was a smear behind wet glass. Quinn followed, slapping the bonnet as she passed, and a shout chased her across the tarmac. He led her north. Past the locks. Past the tiled frontage of the Tube station, already gated and dark for the night. He wasn't heading for a bus, for a car, for a friend's flat. He was heading somewhere specific, and he wasn't bothering to hide it. Then he cut. Down a side street she'd never noticed on any shift, narrow as a knife wound between two warehouses, the brick on either side so close she had to turn her shoulders. Water poured from a broken gutter at the far end and made a waterfall of the exit. Herrera plunged through it. Quinn followed, and the icy slap of it down her neck drove the breath out of her. Beyond the curtain of water: stairs. Old ones, stone, descending into nothing. She stopped at the top, hand braced against the wet wall, lungs clawing for air. The stairs shouldn't have been here. She knew every inch of this patch; she'd walked it a hundred times looking for a lead on Morris. This was a cellar entrance that did not belong to any cellar she'd ever seen on a plan. At the bottom, a faint green glow pulsed against damp tile. She could hear, rising out of the dark, the hum of a crowd. Voices speaking in languages she couldn't place. The clink of metal on metal. Something that might have been a bell or might have been a cry. Herrera was halfway down. He'd paused, one hand on the iron rail, and turned to look back at her. "Don't," he called up. Rain dripped from the ends of his curls. "Not down here, Detective. You don't have the token. You don't have the right." "Token for what?" "For anything." He backed down another step. "Turn around. Go home. This isn't the place." "Herrera." Her hand was already on her weapon, though the regulations said it shouldn't be. "Three bodies. Unexplained trauma. The Harris girl's still in a coma and you were at the scene twice. We've got you on camera." "I was helping her." Bitter. Almost pleading. "I'm always helping them. You don't understand what's happening in your city." "Then come up here and tell me." He shook his head. A slow, tired gesture. "I can't. And you can't come down." He turned. Took the last flight at a run. Quinn stood at the lip of the stairs with the rain on her back and the green light rising up her shins. She could feel her pulse in the tendons of her hands. Protocol was a list she could recite in her sleep. Call it in. Wait for uniform. Get the address logged, get a van on standby, don't — under any circumstances — pursue an unknown suspect into an unmapped subterranean location without backup. Morris would have called it in. Morris had called it in, three years ago, in a warehouse on the Isle of Dogs, and she'd still lost him. The report had used the phrase *circumstances unclear*. Four pages of it. Unclear. Unclear. Unclear, as though if you said it enough times it stopped meaning anything. The hum from below thickened. Somebody laughed down there, low and wrong. She thought of the bone she'd found in Morris's locker after he'd gone. Palm-sized, carved, drilled through with a leather thong. Evidence Services had catalogued it and misplaced it within a week. She'd never told anyone what it looked like. Quinn drew her weapon. Set her thumb against the safety and left it there. Took one step down. Then another. The green glow climbed her knees, her waist, bathed the worn leather of her watch until the numbers went the colour of pond water. At the bottom of the stairs, a figure stepped out of an alcove. Tall. Hooded. A hand extended, palm up, patient as a border guard. "Token," it said. Quinn kept walking.
created_at"2026-04-24T19:42:34.986Z" 4/24/2026, 7:42:34 PM
model"anthropic/claude-4.7-opus-20260416"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1897
moderation_latency(null)
generation_time29418
tokens_prompt1140
tokens_completion1602
native_tokens_prompt1579
native_tokens_completion2180
native_tokens_completion_images(null)
native_tokens_reasoning49
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"
usage0.062395
router(null)
provider_responses
0
endpoint_id"0fa65117-00d9-4835-808d-9b68041d9ce4"
id"1ee05561-6557-4ac8-a5ba-bdbd232741c1"
is_byokfalse
latency685
model_permaslug"anthropic/claude-4.7-opus-20260416"
provider_name"Amazon Bedrock"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777059754-8451dkG1H13lTrPCspbG"
session_id(null)
api_type"completions"
id"gen-1777059754-ZZrtzavD5JR7PDPv98qk"
upstream_id"1ee05561-6557-4ac8-a5ba-bdbd232741c1"
total_cost0.062395
cache_discount(null)
upstream_inference_cost0
provider_name"Amazon Bedrock"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags5
adverbTagCount0
adverbTags(empty)
dialogueSentences14
tagDensity0.357
leniency0.714
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1081
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)
76.87% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1081
totalAiIsms5
found
0
word"fractured"
count1
1
word"footfall"
count1
2
word"pulsed"
count1
3
word"could feel"
count1
4
word"pulse"
count1
highlights
0"fractured"
1"footfall"
2"pulsed"
3"could feel"
4"pulse"
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
emotionTells1
narrationSentences93
matches
0"felt the jolt"
96.77% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences93
filterMatches
0"watch"
hedgeMatches
0"tried to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences101
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen42
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords2
totalWords1083
ratio0.002
matches
0"circumstances unclear"
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
totalMentions40
wordCount990
uniqueNames19
maxNameDensity0.81
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Morris"
discoveredNames
Camden2
Tomás1
Herrera6
Silas1
Raven1
Nest1
Morris5
Saint1
Christopher1
High1
Street1
Tube1
Rain3
Bitter1
Isle1
Dogs1
Services1
Quinn8
Unclear3
persons
0"Tomás"
1"Herrera"
2"Raven"
3"Morris"
4"Saint"
5"Christopher"
6"Rain"
7"Services"
8"Quinn"
places
0"Camden"
1"Silas"
2"High"
3"Street"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences61
glossingSentenceCount1
matches
0"looked like"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1083
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences101
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs33
mean32.82
std26.98
cv0.822
sampleLengths
067
15
217
372
447
511
632
751
868
967
1047
113
1269
1312
14108
1519
1626
173
1815
1938
2019
217
2215
239
2475
256
2648
2712
2840
2944
3025
313
323
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences93
matches(empty)
82.35% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs170
matches
0"wasn't heading"
1"was heading"
2"wasn't bothering"
86.28% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount1
flaggedSentences2
totalSentences101
ratio0.02
matches
0"She knew every inch of this patch; she'd walked it a hundred times looking for a lead on Morris."
1"Get the address logged, get a van on standby, don't — under any circumstances — pursue an unknown suspect into an unmapped subterranean location without backup."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount992
adjectiveStacks0
stackExamples(empty)
adverbCount22
adverbRatio0.02217741935483871
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences101
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences101
mean10.72
std8.43
cv0.786
sampleLengths
018
115
234
35
49
53
65
75
835
92
102
1128
1210
1325
1412
1511
163
1721
188
1918
202
2119
226
236
247
2525
269
2727
2842
299
3016
314
323
3315
3413
3512
363
3731
3817
394
4017
416
426
4315
446
4519
4618
4711
4813
497
68.32% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.44554455445544555
totalSentences101
uniqueOpeners45
82.30% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences81
matches
0"Just the gut-hot certainty she'd"
1"Then he cut."
ratio0.025
96.54% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount25
totalSentences81
matches
0"He didn't slow."
1"She hadn't expected him to."
2"Her boots hammered the kerb."
3"She'd clocked him an hour"
4"He moved like somebody who'd"
5"she called, not believing it"
6"He glanced back."
7"She cleared the wire in"
8"Her radio was in her"
9"She did not reach for"
10"She caught a glimpse of"
11"He led her north."
12"He wasn't heading for a"
13"He was heading somewhere specific,"
14"She stopped at the top,"
15"She knew every inch of"
16"She could hear, rising out"
17"He'd paused, one hand on"
18"he called up"
19"He backed down another step"
ratio0.309
71.11% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount63
totalSentences81
matches
0"Rain came down in sheets,"
1"Quinn ran hard, the breath"
2"The shout tore loose and"
3"He didn't slow."
4"She hadn't expected him to."
5"Her boots hammered the kerb."
6"She'd clocked him an hour"
7"Herrera hit the mouth of"
8"Quinn slid round the corner,"
9"He moved like somebody who'd"
10"she called, not believing it"
11"He glanced back."
12"A single look, warm brown"
13"The Saint Christopher at his"
14"She cleared the wire in"
15"Rain ran down the inside"
16"Her radio was in her"
17"She did not reach for"
18"The yard emptied onto Camden"
19"Saturday-night crowds still thronged the"
ratio0.778
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences81
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences40
technicalSentenceCount1
matches
0"She caught a glimpse of Herrera at the lights, then lost him in a knot of girls in plastic ponchos, then found him again as he bolted across the road between a …"
25.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags5
uselessAdditionCount1
matches
0"she called, not believing it herself"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount0
fancyTags(empty)
dialogueSentences14
tagDensity0.214
leniency0.429
rawRatio0
effectiveRatio0
89.5185%