Run: 2026-09-23-01M37Q4DMNZSHXVFXDGP9P7SCX

Run Details

Duration:
56.1s
Cost:
$0.078924
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 came sideways off Camden High Street, needling through the gaps in Harlow Quinn's collar and running cold down her spine. She kept her eyes on the dark curls bobbing forty metres ahead, weaving between drunk students and a kebab shop queue that spilled onto the pavement like a burst sandbag. "Police! Out of the way!" A lad in a pink feather boa stumbled sideways. Quinn clipped his shoulder, muttered nothing, and kept moving. Her shoes, sensible, black, bought for courtrooms, slapped through puddles that reflected the orange smear of streetlights and the green flicker of a pharmacy cross. Tomás Herrera ran like a man who had done it before. He didn't look back. He didn't waste breath. He cut left at the lock, vaulted a bollard, and vanished down a side street where the pubs gave way to shuttered garages and bins that stank of fish and wet cardboard. Quinn followed. Her lungs had started to burn somewhere around Mornington Crescent, and now the burn had settled in and put its feet up. Forty-one years old. Eighteen years on the job. She hadn't lost a runner since she was a probationer in Lewisham, and she didn't plan to start tonight. "Herrera! You're only making this worse!" His voice bounced back off the brickwork, breathless but amused. "Worse for who, Detective?" He had slowed. Not much, but enough. Quinn caught the glint of something at his throat as he passed beneath a sodium lamp, a small disc of silver swinging against his chest. The Saint Christopher. She'd seen it in the surveillance stills from outside the Raven's Nest, three nights of photographs showing the same man slipping past that green neon sign with a medical bag and leaving two hours later without it. The street dead-ended at a railway arch. Water sheeted off the lip of the bridge in a curtain, loud enough to swallow the traffic behind them. Tomás ducked through it. Quinn skidded to a halt on the far side and swept the space with her torch. Nothing. A heap of pallets. A mattress bloated with rain. Graffiti in six colours, and beneath it, set into the arch's back wall, a facade that didn't belong: oxblood tiles, glazed and cracked, arched windows bricked over, the ghost of a station name picked out in letters someone had chiselled away. A steel shutter stood half-raised at the bottom. Beyond it, stairs dropped into dark. She checked her watch out of habit. The leather strap had gone black with water. Eleven fifty-two. Nobody knew where she was. She'd told the duty sergeant she was going home. Quinn crouched and shone the torch under the shutter. Steps, tiled in cream and green, slick with something that wasn't only rain. Somewhere below, a sound drifted up, too layered to be a single thing. Voices. Music played on an instrument she couldn't name. The clink of glass. Laughter that stopped too sharply. She thumbed the radio clipped to her belt, then let go without pressing. What would she tell them? Suspect has entered a disused Tube station. Requesting backup to arrest a struck-off paramedic for practising medicine without a licence. They'd laugh her off the channel. Worse, they'd send someone, and whoever came would see her standing in a puddle at midnight, chasing a hunch she'd been nursing for three years. Chasing Morris. Quinn ducked under the shutter. The stairwell swallowed the rain noise within a dozen steps. The air turned thick and warm, heavy with incense and hot metal and something underneath that reminded her of a butcher's back room. Her torch beam caught old posters on the walls, advertisements for Bovril and a 1930s dance hall, their paper curling like dead leaves. Further down, the posters changed. Hand-drawn. Symbols she didn't recognise, and one she did: a crude eye inside a circle, the same mark someone had scratched into the door of the flat where they'd found Morris's car keys and nothing else of him. Her jaw tightened. She kept walking. The stairs opened onto a platform, and Quinn stopped. Light glowed from a hundred sources, none of them electric. Lanterns hung from the rusted cable brackets. Candles burned in jars along the platform edge. Stalls crowded the old track bed, built from crates and tarpaulins and doors torn off their hinges, and between them moved people, or things that wore people's shapes the way she wore her coat. A woman with far too many rings sold vials of liquid that shifted colour as Quinn watched. A man with no visible eyes weighed something grey and pulsing on a set of brass scales. Between Quinn and all of it stood a turnstile. It was an original, iron and oak, and it hadn't been built to keep anyone out of anything for eighty years. But someone had strung it with cords of braided hair, and a figure sat beside it on a milk crate, wrapped in a coat stitched from what looked like old bus seat upholstery. The figure raised its head. Its face was a woman's, lined and patient, with eyes the colour of weak tea. Tomás stood on the far side of the turnstile, dripping, chest heaving. He'd waited. "You shouldn't be here," he called. Quinn didn't take her eyes off him. "Neither should you. Come back through and we'll talk." "We can talk from here." The woman on the milk crate held out a palm. Her voice sounded like gravel stirred with a spoon. "Token." Quinn looked at the hand, then at Tomás. "I'm with the Metropolitan Police." "I don't care if you're with the Archbishop of Canterbury, love. Token, or you turn round and climb back up them stairs." Tomás pushed wet curls off his forehead. Under the lantern light, the scar on his forearm stood out pale against his olive skin, a ridge of old tissue from wrist to elbow. "She means it, Detective. The rules down here aren't your rules. Nobody reads you your rights." "Then tell me whose rules they are." "Not tonight." "Three years ago." Quinn stepped closer to the turnstile. The braided cords stirred, though the air hung dead still. "Detective Sergeant Paul Morris. He walked into a flat in Kentish Town and he never walked out. No body. No blood. Just that." She pointed at the painted eye on the stairwell wall behind her. "You know what it means." Something moved behind his warm brown eyes. Not guilt. Something closer to pity, and she hated it more. "I didn't know him." "But you know who did." The woman on the crate clicked her tongue. "You two want to have your little heart-to-heart, you have it somewhere I'm not sitting. Token, or out." Tomás reached into his jacket. Quinn's hand went to her baton by reflex, but what he drew out was small and pale: a disc of carved bone no bigger than a two-pound coin, etched with lines like the rings of a tree. He turned it over in his fingers. "I'm going to regret this." He flicked it. The token spun through the lantern light and landed at Quinn's feet with a sound too soft for bone on tile. "Listen to me," he said. "Don't give your name to anyone. Don't eat or drink anything, don't touch anything you haven't paid for, and if someone offers you a deal, you walk away. You stay close to me, and when I say we leave, we leave. No arguments." "You're not in a position to set terms." "Down here, I'm the only one who can." Quinn bent and picked up the token. It felt warm, as though it had come from someone's pocket a second ago rather than falling through cold air. Behind her, the stairs climbed back into the rain, to the railway arch and the radio on her belt and a flat in Walthamstow with a fridge containing half a lasagne and nothing else. Ahead, the market hummed, and somewhere in it, maybe, sat the answer she'd spent three years digging for with her bare hands. The woman on the milk crate held out her palm again. Quinn set the token in it. The cords of braided hair loosened with a sound like an exhaled breath. The turnstile arm dropped. Quinn pushed through, and the iron groaned against her hip, and then her shoes were on the other side, on tiles that no longer felt like London. Tomás was already turning away into the crowd. "Stay close, Detective." She did.
created_at"2026-09-23T18:06:03.953Z" 9/23/2026, 6:06:03 PM
model"anthropic/claude-opus-5.5-20260921"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4603
moderation_latency(null)
generation_time56000
tokens_prompt1104
tokens_completion2274
native_tokens_prompt1576
native_tokens_completion3631
native_tokens_completion_images(null)
native_tokens_reasoning801
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"
usage0.078924
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790186763-HoEd0iLOF6lFjvAY6IYI"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790186763-w8ArDgGfWM6VmTVnqzcI"
upstream_id"msg_011CfLpELBSoggTAYxwpPRKx"
provider_responses
0
endpoint_id"3a2388bc-3740-4e64-a1f5-4e301726b6b9"
id"msg_011CfLpELBSoggTAYxwpPRKx"
is_byokfalse
latency1280
model_permaslug"anthropic/claude-opus-5.5-20260921"
provider_name"Claude Platform on AWS"
status200
total_cost0.078924
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
totalTags4
adverbTagCount0
adverbTags(empty)
dialogueSentences24
tagDensity0.167
leniency0.333
rawRatio0
effectiveRatio0
96.47% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1418
totalAiIsmAdverbs1
found
0
adverb"sharply"
count1
highlights
0"sharply"
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)
71.79% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1418
totalAiIsms8
found
0
word"down her spine"
count1
1
word"flicker"
count1
2
word"glint"
count1
3
word"facade"
count1
4
word"dance"
count1
5
word"electric"
count1
6
word"etched"
count1
7
word"flicked"
count1
highlights
0"down her spine"
1"flicker"
2"glint"
3"facade"
4"dance"
5"electric"
6"etched"
7"flicked"
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
narrationSentences103
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount2
narrationSentences103
filterMatches
0"watch"
hedgeMatches
0"started to"
1"start to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences123
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen43
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1418
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions6
unquotedAttributions0
matches(empty)
66.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions43
wordCount1204
uniqueNames19
maxNameDensity1.5
worstName"Quinn"
maxWindowNameDensity3
worstWindowName"Quinn"
discoveredNames
Camden1
High1
Street1
Harlow1
Quinn18
Herrera1
Mornington1
Crescent1
Lewisham1
Saint1
Christopher1
Raven1
Nest1
Tube1
Morris2
Bovril1
Tomás7
Walthamstow1
London1
persons
0"Harlow"
1"Quinn"
2"Herrera"
3"Saint"
4"Christopher"
5"Morris"
6"Tomás"
places
0"Camden"
1"High"
2"Street"
3"Mornington"
4"Crescent"
5"Lewisham"
6"Raven"
7"Walthamstow"
8"London"
globalScore0.752
windowScore0.667
42.86% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences70
glossingSentenceCount3
matches
0"looked like old bus seat upholstery"
1"sounded like gravel stirred with a spoon"
2"felt like London"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.705
wordCount1418
matches
0"Not much, but enough"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences123
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs57
mean24.88
std25.8
cv1.037
sampleLengths
051
15
243
351
451
56
610
74
872
930
1067
1114
1231
1353
1413
1556
162
175
1899
196
209
2193
229
2374
2414
256
267
279
285
2919
301
318
325
3322
3432
3516
367
372
3859
3918
404
415
428
4318
4449
455
4624
4748
488
498
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences103
matches
0"been built"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs202
matches
0"was going"
1"was already turning"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences123
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1211
adjectiveStacks0
stackExamples(empty)
adverbCount29
adverbRatio0.023947151114781174
lyAdverbCount2
lyAdverbRatio0.0016515276630883566
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences123
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences123
mean11.53
std9.91
cv0.86
sampleLengths
021
130
25
39
49
525
611
74
84
932
102
1122
123
135
1419
156
1610
174
183
194
2025
213
2237
237
2419
254
2616
271
284
295
3041
318
326
337
348
352
365
379
389
3913
4013
411
428
434
445
4513
465
477
4813
496
72.90% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.4715447154471545
totalSentences123
uniqueOpeners58
72.46% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences92
matches
0"Somewhere below, a sound drifted"
1"Further down, the posters changed."
ratio0.022
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount24
totalSentences92
matches
0"She kept her eyes on"
1"Her shoes, sensible, black, bought"
2"He didn't look back."
3"He didn't waste breath."
4"He cut left at the"
5"Her lungs had started to"
6"She hadn't lost a runner"
7"His voice bounced back off"
8"He had slowed."
9"She'd seen it in the"
10"She checked her watch out"
11"She'd told the duty sergeant"
12"She thumbed the radio clipped"
13"They'd laugh her off the"
14"Her torch beam caught old"
15"Her jaw tightened."
16"She kept walking."
17"It was an original, iron"
18"Its face was a woman's,"
19"Her voice sounded like gravel"
ratio0.261
46.96% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount76
totalSentences92
matches
0"Rain came sideways off Camden"
1"She kept her eyes on"
2"A lad in a pink"
3"Quinn clipped his shoulder, muttered"
4"Her shoes, sensible, black, bought"
5"Tomás Herrera ran like a"
6"He didn't look back."
7"He didn't waste breath."
8"He cut left at the"
9"Her lungs had started to"
10"She hadn't lost a runner"
11"His voice bounced back off"
12"He had slowed."
13"Quinn caught the glint of"
14"The Saint Christopher."
15"She'd seen it in the"
16"The street dead-ended at a"
17"Water sheeted off the lip"
18"Tomás ducked through it."
19"Quinn skidded to a halt"
ratio0.826
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences92
matches(empty)
ratio0
73.17% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences41
technicalSentenceCount4
matches
0"She kept her eyes on the dark curls bobbing forty metres ahead, weaving between drunk students and a kebab shop queue that spilled onto the pavement like a burs…"
1"Her shoes, sensible, black, bought for courtrooms, slapped through puddles that reflected the orange smear of streetlights and the green flicker of a pharmacy c…"
2"Stalls crowded the old track bed, built from crates and tarpaulins and doors torn off their hinges, and between them moved people, or things that wore people's …"
3"It felt warm, as though it had come from someone's pocket a second ago rather than falling through cold air."
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)
dialogueSentences24
tagDensity0.083
leniency0.167
rawRatio0
effectiveRatio0
88.1093%