Run: 2026-09-29-01M3P2DV2FWEP02S73F7H1QNCQ

Run Details

Duration:
32.6s
Cost:
$0.034112
Provider:
Claude Platform on AWS

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 hammered Camden High Street and turned the tarmac into a black mirror. Quinn ran through it with her coat flapping open and her breath sawing in her throat. Thirty yards ahead, a man in a dark jacket cut between two night buses, and the red glow of their tail lights washed over the back of his head. Short curly hair. A stride she'd watched for six weeks from the passenger seat of an unmarked Vauxhall. "Police! Herrera, stop!" He didn't. He glanced back once, his olive face pale under the streetlamps, and then he vaulted a bollard and turned left. Quinn followed. Her boots slapped through a gutter and cold water soaked her to the shin. Eighteen years on the job had taught her two things about running down a suspect: never shout twice, and never lose sight of his hands. She'd already broken the first rule. Herrera's hands stayed empty, pumping at his sides, and that bothered her more than a weapon would have. A man with nothing to throw away had somewhere to be. He crossed the road outside the Underworld pub, dodged a knot of smokers under an awning, and sprinted toward the railway arches. "Oi! Watch it!" A lad in a hoodie stumbled back against the wall as Herrera shouldered past. "Sorry, mate!" Herrera's voice had a Spanish lilt that the rain couldn't wash out. He didn't slow. Quinn hit the smokers next. She raised her warrant card without breaking stride. "Move. Now." They parted like water. One of them dropped his cigarette and swore at the wet pavement. The arches ran in a long brick line beside the canal, each with its own roller shutter, its own coat of graffiti, its own stink of oil and damp. Herrera ducked into the gap between two of them. A security lamp flickered on above him, threw his shadow up the bricks, and then he was gone around the corner. She reached the gap four seconds later. A service alley, narrow, lined with bins and pallets. Rain sheeted off the corrugated roof above and drummed on a row of crates. At the far end, a rusted steel door stood open, and yellow light spilled out and lay across the puddles. Quinn slowed to a walk. Her lungs burned. She pulled her baton from her belt, extended it with a flick of her wrist, and moved forward with her back to the wall. "Tomás." She kept her voice low. It carried anyway, bouncing between the brick. "I know you're in there. Nobody's going to hurt you. I want to talk about Silas Reed and the Raven's Nest. I want to talk about what you carry in that bag of yours." Nothing answered her but the rain. She stepped through the door. A stairwell dropped away in front of her, tiled in cracked cream and bottle green, the kind of tile the Underground laid down a century ago and forgot about. Someone had strung fairy lights along the handrail. They swung and buzzed in a draught that smelled of copper and cinnamon and something burnt. Far below, muffled by a hundred feet of stone, she heard voices. Music. A woman laughing. Quinn checked the leather watch on her left wrist. 11:47. She had no backup. She had told Dispatch she was following up a lead in Chalk Farm, which was true in the way that a map was true of a country. She started down. The stairs turned twice and ended in a tiled passage lit by oil lamps hung from hooks. A man sat on a stool at the bottom, huge, bald, wrapped in a waxed coat that dripped onto the floor. He was carving something from a length of pale bone with a short knife. Herrera stood in front of him, bent over, hands on his knees, heaving for air. The big man didn't look up. "Token." Herrera dug into his jacket. His fingers shook. He came out with a disc of yellowed bone, no bigger than a fifty-pence piece, and set it on the man's palm. "Go on through, Doc. Bad night for a jog." "Bad night for everything, Greaves." "Behind you." Herrera turned. Quinn stood on the last stair with the baton at her thigh and rain running from her cropped hair into her collar. For a moment nobody moved. The lamps hissed. Herrera's chest rose and fell, and the Saint Christopher medallion at his throat caught the light and swung against his shirt. "Detective." He straightened. "You run faster than you look." "You run slower than you should, for a man in a hurry." She lifted her chin at the bone disc. "What's that?" "A ticket." "To what?" He didn't answer. His eyes flicked to the big man, then back to her, and something in them pleaded. Not for himself. Greaves set the knife down on his knee. He looked at Quinn for the first time, and she saw that his eyes were the wrong colour, a flat pale amber, like a dog's in headlights. "Evening, officer. Lovely coat. Ruined, mind." "Step aside." "Can't do that." He rolled the bone token across his knuckles. "Rules of the house. No token, no entry. No exceptions for the Crown, the Queen, or the Met." "I don't need your permission. I need a warrant card and ten seconds." She held it up. "Metropolitan Police. I'm pursuing a suspect." "You're pursuing a medic." Greaves grinned. His teeth were even and very white. "Tommy's got a patient waiting. Somebody cut up bad. If you drag him back up those stairs, she'll bleed out before you finish the paperwork." Quinn looked at Herrera. "Is that true?" "Why would I lie?" He spread his hands. The scar on his left forearm stood out pale against his skin, a ridged line from wrist to elbow. "You've watched me for weeks. When have I ever hurt anyone?" "That's not an answer." "It's the only one you'll get." He backed toward the archway at the end of the passage, where a curtain of heavy red velvet hung across the dark. "Go home, Harlow. Please." He used her first name. Nobody in the Met used her first name. Nobody had since Morris. The curtain swallowed him. Warm air breathed out through the fabric, thick with spice and woodsmoke, and beyond it the music swelled and dropped again. A bell rang. A voice she couldn't place called out a price in a language she didn't know. Quinn stood very still. She thought of the stairwell above her, and the rain, and the Vauxhall parked on Kentish Town Road with a flask of cold tea in the cupholder. She thought of the clean, sensible thing: call it in, get a team, come back with a warrant and a van. Do it by the book. She had done everything by the book three years ago, and the book had put Morris in a box. Below the ground, in a place no map listed, a man she had spent six weeks trying to convict was walking away from her toward whatever waited behind that curtain. Greaves watched her with his flat amber eyes and turned the bone token over and over. "Your call, love," he said. "But I'll tell you for nothing, it's a long way back up if you go in without one of these." Quinn collapsed the baton against her thigh. She slid it into her belt, took one breath, and stepped off the last stair onto the tiles. "Then I'll pay the difference," she said. She crossed the passage, put her hand on the velvet, and pushed through.
created_at"2026-09-29T07:52:48.98Z" 9/29/2026, 7:52:48 AM
model"anthropic/claude-sonnet-5.5-20260928"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4050
moderation_latency(null)
generation_time32574
tokens_prompt1104
tokens_completion1968
native_tokens_prompt1576
native_tokens_completion3096
native_tokens_completion_images(null)
native_tokens_reasoning633
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"
usage0.034112
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1790668368-X2y4GgWpwc004j7wlJZD"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790668368-uYLBWFwFNAJcTv5b7Pv9"
upstream_id"msg_011CfXNKWSjfNhtiWjnuvN2d"
provider_responses
0
endpoint_id"99aaad94-923b-4fc1-b763-271ed5486f7a"
id"msg_011CfXNKWSjfNhtiWjnuvN2d"
is_byokfalse
latency684
model_permaslug"anthropic/claude-sonnet-5.5-20260928"
provider_name"Claude Platform on AWS"
status200
total_cost0.034112
cache_discount(null)
upstream_inference_cost0
provider_name"Claude Platform on AWS"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags12
adverbTagCount1
adverbTags
0"a hoodie stumbled back [back]"
dialogueSentences33
tagDensity0.364
leniency0.727
rawRatio0.083
effectiveRatio0.061
92.14% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1272
totalAiIsmAdverbs2
found
0
adverb"very"
count2
highlights
0"very"
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)
76.42% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1272
totalAiIsms6
found
0
word"pumping"
count1
1
word"lilt"
count1
2
word"flickered"
count1
3
word"flicked"
count1
4
word"velvet"
count2
highlights
0"pumping"
1"lilt"
2"flickered"
3"flicked"
4"velvet"
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
filterCount1
hedgeCount0
narrationSentences93
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences114
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen34
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1272
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions6
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions41
wordCount1048
uniqueNames20
maxNameDensity0.95
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Herrera"
discoveredNames
Camden1
High1
Street1
Vauxhall2
Underworld1
Herrera9
Spanish1
Underground1
Dispatch1
Chalk1
Farm1
Saint1
Christopher1
Quinn10
Greaves3
Met1
Morris2
Kentish1
Town1
Road1
persons
0"Herrera"
1"Underground"
2"Saint"
3"Christopher"
4"Quinn"
5"Greaves"
6"Morris"
places
0"Camden"
1"High"
2"Street"
3"Vauxhall"
4"Underworld"
5"Chalk"
6"Farm"
7"Kentish"
8"Town"
9"Road"
globalScore1
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences58
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1272
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences114
matches
0"saw that his"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs52
mean24.46
std21.95
cv0.897
sampleLengths
076
13
222
376
422
517
617
713
82
916
1059
1150
1232
1347
146
155
1669
1741
183
1967
206
211
2230
239
245
252
2653
279
2822
292
302
3122
3235
336
342
3529
3623
3738
384
393
4038
414
4232
4317
4443
454
4672
4746
4825
4925
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences93
matches
0"was gone"
83.04% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs171
matches
0"was following"
1"was carving"
2"was walking"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences114
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1049
adjectiveStacks0
stackExamples(empty)
adverbCount21
adverbRatio0.02001906577693041
lyAdverbCount1
lyAdverbRatio0.0009532888465204957
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences114
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences114
mean11.16
std8.46
cv0.758
sampleLengths
013
116
229
33
415
53
62
720
82
914
1025
116
1218
1311
1422
1517
1614
173
185
198
202
214
2212
2329
249
2521
267
279
2814
2920
305
313
3224
336
347
3534
366
375
3829
398
4016
4112
421
433
449
451
464
4727
483
4917
71.98% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.4690265486725664
totalSentences113
uniqueOpeners53
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences84
matches(empty)
ratio0
53.33% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount35
totalSentences84
matches
0"He glanced back once, his"
1"Her boots slapped through a"
2"She'd already broken the first"
3"He crossed the road outside"
4"He didn't slow."
5"She raised her warrant card"
6"They parted like water."
7"She reached the gap four"
8"Her lungs burned."
9"She pulled her baton from"
10"She kept her voice low"
11"It carried anyway, bouncing between"
12"She stepped through the door."
13"They swung and buzzed in"
14"She had no backup."
15"She had told Dispatch she"
16"She started down."
17"He was carving something from"
18"His fingers shook."
19"He came out with a"
ratio0.417
31.43% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount72
totalSentences84
matches
0"Quinn ran through it with"
1"A stride she'd watched for"
2"He glanced back once, his"
3"Her boots slapped through a"
4"She'd already broken the first"
5"Herrera's hands stayed empty, pumping"
6"A man with nothing to"
7"He crossed the road outside"
8"A lad in a hoodie"
9"Herrera's voice had a Spanish"
10"He didn't slow."
11"Quinn hit the smokers next."
12"She raised her warrant card"
13"They parted like water."
14"The arches ran in a"
15"Herrera ducked into the gap"
16"A security lamp flickered on"
17"She reached the gap four"
18"A service alley, narrow, lined"
19"Rain sheeted off the corrugated"
ratio0.857
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences84
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences39
technicalSentenceCount2
matches
0"Quinn ran through it with her coat flapping open and her breath sawing in her throat."
1"She had told Dispatch she was following up a lead in Chalk Farm, which was true in the way that a map was true of a country."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags12
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount0
fancyTags(empty)
dialogueSentences33
tagDensity0.061
leniency0.121
rawRatio0
effectiveRatio0
86.3889%