Run: 2026-04-24-01KQ0GFFBRGF7XM9TKR4DB72VY

Run Details

Duration:
29.8s
Cost:
$0.059595
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 sideways down Dean Street, hammering the awnings and turning the pavement to a black mirror. Quinn ran through it without feeling it. Her coat slapped at her calves, her boots threw up sheets of water with every stride, and forty yards ahead Tomás Herrera vaulted a bin and kept going. "Herrera! Stop!" He didn't stop. He never did. Three times in the last month she'd had him cornered—once outside the clinic on Berwick, once in a café off Wardour, once standing ten feet away in a crowd she couldn't legally part—and three times he'd slipped her. Tonight would not make four. She keyed her radio as she ran. "Control, this is Quinn. I have a visual on Herrera, foot pursuit southbound on Dean, request backup, over." Static answered her. Then a voice, broken up, eating its own syllables. "—peat, Quinn, say—gain—" "Bloody hell." She pushed the radio back under her collar. Herrera glanced over his shoulder. The green neon from the Raven's Nest washed his face for half a second—olive skin, the flash of the medallion at his throat, eyes too wide for a man who simply didn't want to answer questions. He was frightened. Not of her. Of something else. That was what kept her running. He banked hard left into an alley, and Quinn followed, her shoulder clipping the brick. A fire escape clanged somewhere above. Water poured from a broken gutter and she ducked under it, the cold biting her neck, and came out the far side into a mews she didn't recognise. Cobblestones. Wrought-iron lamps that shouldn't have been here in Soho. She catalogued each detail as she ran, the way her training had taught her, and her training was telling her something was wrong with this street. Herrera cut right at the end. She pushed harder, legs burning, lungs burning. Eighteen years on the Met and she still ran like she'd run at Hendon. Morris used to laugh at her for it. Morris had laughed at a lot of things, right up until the night he hadn't come home, and the report she'd filed still sat in a drawer marked *unresolved* because nothing in the rulebook covered what she'd seen. Herrera slowed. Not much. Enough. He was looking for a door. She watched him find it: a recessed stairwell beside a boarded-up dry cleaner, the kind of gap in the brickwork the eye tended to skip. He paused at the top step, fumbled at his collar, and pulled something from inside his jacket. Small. Pale. He closed his fist around it, glanced back at her, and went down. "Herrera!" Quinn hit the stairwell eight seconds later. The stairs went down further than they ought to, past a level of rusted rail and a second of cracked tile, and then further still into a dark that smelled of wet iron and something sweeter she couldn't place. Burning sugar. Wet leaves. A memory she hadn't asked for of the night Morris disappeared, that same sweetness in the air. She stopped halfway down and put her back to the wall. Breathe. She listened. Below, footsteps on stone, and beneath the footsteps a hum—voices, maybe, or a generator, or neither. Above, rain, and the muffled thump of Soho on a Friday night, already miles away in feeling. She drew her radio again. "Control. Quinn. Lost signal. Pursuing suspect into—" She looked at the stairwell. "Into unknown premises off Dean Street. Need backup to my last location." Nothing came back. She could go up. That was procedure. Wait for uniforms, seal the entrance, call in SO19 if the situation warranted. She could put Herrera down as *in the wind* again and go home and pour herself a Talisker and look at the drawer marked *unresolved* and decide, one more night, not to open it. The watch on her left wrist ticked against her pulse. Morris had worn one the same. She'd bought them as a pair the week they'd made DS. Quinn drew her baton, not her weapon—she was not yet so far from the Met as to forget herself—and went down. The stairs ended at an archway. Past the archway the tunnel opened out, and what opened out wasn't any Tube station she had walked in her life, even though the tiled curve of the wall and the rusted Underground roundel said it had been, once. Camden, by the look. Camden Town, decommissioned platform, closed in the forties. It was not closed now. Lanterns hung from cables strung through the rafters, burning a light that was not quite orange and not quite any colour she owned a word for. Stalls lined the platform. Cloth awnings, trestle tables, crates. A woman in a butcher's apron weighed a handful of teeth on a brass scale. A man sold bottles whose contents moved when no one touched them. Somewhere a fiddle played something in a key that made her fillings ache. The crowd was the worst of it. Not because of what was in it—she refused, for now, to look too closely at what was in it—but because every face turned, at once, toward the archway where she stood. A hundred pairs of eyes. The fiddle didn't stop. Nobody spoke. Quinn held her badge up in her left hand and her baton in her right and took one step forward onto the platform. "Metropolitan Police," she said, and her voice carried further than it should have, as if the air here was thinner. "I'm looking for a man. Tomás Herrera. Spanish, twenty-nine, scar on his left forearm. He came down these stairs less than a minute ago." The crowd watched her. At the far end of the platform, past the stall with the teeth, past a curtained booth hung with feathers, she caught a flicker of movement. A figure shouldering through the press of bodies. Dark curls. A Saint Christopher medallion catching the lanternlight. He looked back at her one more time. Then he ran. Quinn swore under her breath, and ran after him, into the market.
created_at"2026-04-24T19:46:43.197Z" 4/24/2026, 7:46:43 PM
model"anthropic/claude-4.7-opus-20260416"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1901
moderation_latency(null)
generation_time29591
tokens_prompt1140
tokens_completion1564
native_tokens_prompt1579
native_tokens_completion2068
native_tokens_completion_images(null)
native_tokens_reasoning82
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"
usage0.059595
router(null)
provider_responses
0
endpoint_id"0fa65117-00d9-4835-808d-9b68041d9ce4"
id"a8b9b5a0-155d-4838-bdc4-7b469613744c"
is_byokfalse
latency873
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-1777060003-7yxmythbLdBQ8QeJRISQ"
session_id(null)
api_type"completions"
id"gen-1777060003-W2cs8C1tlzypAAmHUtJ8"
upstream_id"a8b9b5a0-155d-4838-bdc4-7b469613744c"
total_cost0.059595
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
totalTags4
adverbTagCount0
adverbTags(empty)
dialogueSentences9
tagDensity0.444
leniency0.889
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1017
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)
80.33% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1017
totalAiIsms4
found
0
word"footsteps"
count2
1
word"pulse"
count1
2
word"flicker"
count1
highlights
0"footsteps"
1"pulse"
2"flicker"
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
narrationSentences85
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences85
filterMatches(empty)
hedgeMatches
0"tended to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences90
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen40
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans3
markdownWords5
totalWords1007
ratio0.005
matches
0"unresolved"
1"in the wind"
2"unresolved"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions35
wordCount939
uniqueNames20
maxNameDensity0.75
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Dean1
Street1
Tomás1
Herrera5
Berwick1
Wardour1
Quinn7
Raven1
Nest1
Soho2
Met2
Hendon1
Morris4
Friday1
Talisker1
Tube1
Underground1
Town1
Saint1
Christopher1
persons
0"Tomás"
1"Herrera"
2"Wardour"
3"Quinn"
4"Nest"
5"Morris"
6"Saint"
7"Christopher"
places
0"Dean"
1"Street"
2"Berwick"
3"Raven"
4"Soho"
5"Met"
6"Hendon"
7"Town"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences51
glossingSentenceCount1
matches
0"not quite any colour she owned a word for"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1007
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences90
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs34
mean29.62
std25
cv0.844
sampleLengths
052
12
249
325
415
510
650
76
885
973
105
116
1257
131
1467
1511
161
1735
1829
193
2054
2127
2221
2357
245
2575
2649
2723
2844
294
3043
318
323
3312
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences85
matches
0"was frightened"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs171
matches
0"was telling"
1"was looking"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount10
semicolonCount0
flaggedSentences6
totalSentences90
ratio0.067
matches
0"Three times in the last month she'd had him cornered—once outside the clinic on Berwick, once in a café off Wardour, once standing ten feet away in a crowd she couldn't legally part—and three times he'd slipped her."
1"\"—peat, Quinn, say—gain—\""
2"The green neon from the Raven's Nest washed his face for half a second—olive skin, the flash of the medallion at his throat, eyes too wide for a man who simply didn't want to answer questions."
3"Below, footsteps on stone, and beneath the footsteps a hum—voices, maybe, or a generator, or neither."
4"Quinn drew her baton, not her weapon—she was not yet so far from the Met as to forget herself—and went down."
5"Not because of what was in it—she refused, for now, to look too closely at what was in it—but because every face turned, at once, toward the archway where she stood."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount164
adjectiveStacks0
stackExamples(empty)
adverbCount6
adverbRatio0.036585365853658534
lyAdverbCount1
lyAdverbRatio0.006097560975609756
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences90
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences90
mean11.19
std10.24
cv0.915
sampleLengths
017
17
228
32
43
53
638
75
87
918
103
119
123
1310
145
1536
163
173
183
196
2015
216
2228
231
249
2526
266
277
2814
298
3038
312
322
331
346
3525
3617
371
381
3913
401
417
4239
432
442
4517
4611
471
482
4916
80.74% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.5111111111111111
totalSentences90
uniqueOpeners46
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences73
matches
0"Then a voice, broken up,"
1"Somewhere a fiddle played something"
2"Then he ran."
ratio0.041
99.45% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount22
totalSentences73
matches
0"Her coat slapped at her"
1"He didn't stop."
2"He never did."
3"She keyed her radio as"
4"She pushed the radio back"
5"He was frightened."
6"He banked hard left into"
7"She catalogued each detail as"
8"She pushed harder, legs burning,"
9"He was looking for a"
10"She watched him find it:"
11"He paused at the top"
12"He closed his fist around"
13"She stopped halfway down and"
14"She drew her radio again."
15"She looked at the stairwell"
16"She could go up."
17"She could put Herrera down"
18"She'd bought them as a"
19"It was not closed now."
ratio0.301
55.89% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount59
totalSentences73
matches
0"Rain came sideways down Dean"
1"Quinn ran through it without"
2"Her coat slapped at her"
3"He didn't stop."
4"He never did."
5"Tonight would not make four."
6"She keyed her radio as"
7"Static answered her."
8"\"—peat, Quinn, say—"
9"She pushed the radio back"
10"Herrera glanced over his shoulder."
11"The green neon from the"
12"He was frightened."
13"That was what kept her"
14"He banked hard left into"
15"A fire escape clanged somewhere"
16"Water poured from a broken"
17"She catalogued each detail as"
18"Herrera cut right at the"
19"She pushed harder, legs burning,"
ratio0.808
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences73
matches(empty)
ratio0
98.21% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences32
technicalSentenceCount2
matches
0"Wrought-iron lamps that shouldn't have been here in Soho."
1"The stairs went down further than they ought to, past a level of rusted rail and a second of cracked tile, and then further still into a dark that smelled of we…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags4
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount0
fancyTags(empty)
dialogueSentences9
tagDensity0.222
leniency0.444
rawRatio0
effectiveRatio0
90.4877%