Run: 2026-09-23-01M37PRSPCW134R001F6K3MWV9

Run Details

Duration:
53.4s
Cost:
$0.075284
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 down on Camden in hard, slanting needles that turned the pavement into a black mirror. Quinn's reflection chased her across it, broken every few feet by the neon of kebab shops and shuttered tattoo parlours. Fifty yards ahead, a figure in a grey hoodie cut left past the lock bridge. "Herrera! Metropolitan Police!" He didn't look back. He never did. Two weeks of watching him slip in and out of the Raven's Nest had taught her that much. He moved like a man who'd spent years threading ambulances through Friday-night traffic, all economy and angles, never wasting a step. Quinn's lungs burned. Forty-one wasn't old, but the rain made every breath taste of diesel and wet brick. She vaulted a stack of pallets outside the market, landed badly, and felt her ankle protest. She ignored it. The canal slid past on her right, fat with rainwater, the surface shivering under the downpour. A drunk under the bridge raised a can at her as she thundered by. "Go on, love! Get 'im!" Herrera ducked beneath the railway arches. The shadows swallowed him whole. Quinn slowed at the mouth of the arch, one hand on the cold brickwork, the other hovering near her radio. Water dripped from the vaulted ceiling in steady plinks. Somewhere deeper in, a generator hummed. She waited three seconds, listening past the rain. Footsteps. Quick. Moving away. She keyed the radio. "Control, this is DI Quinn. In foot pursuit of a male, IC1, grey hooded top, heading north under the Chalk Farm arches. Requesting units to the Camden end." Static hissed back at her. Then a voice, thin and broken, as if spoken through a tin can on a string. "—peat, DI Quinn, you're—up. Location—" "Chalk Farm arches. North." Nothing. Just white noise, rising and falling like surf. She clipped the radio back to her belt and went in. The arches ran deeper than any map she'd seen of this place. Garages gave way to lock-ups, lock-ups to bricked-over alcoves plastered with decades of fly-posters. Gig adverts from the eighties. A missing cat. A faded sheet in a language she didn't recognise, its letters looping like fishhooks. Ahead, a strip of corrugated hoarding had been peeled back from the wall. Behind it, a stairwell dropped into the dark. Green and cream tiles lined the walls, the old London Underground livery, crazed with cracks. A roundel hung at a drunken angle above the steps, its station name scraped away. Herrera stood at the bottom of the first flight, chest heaving, one hand braced on the rail. Their eyes met. "Don't," Quinn said. "Don't make me come down there, Tomás." "Then don't." His accent thickened when he was winded, the Seville vowels rounding off the edges. "Go home, Detective. Please." "You've been stitching up bullet wounds in a pub back room. That's not a hobby. That's a conviction." "You don't know what I stitch up." "So tell me." He glanced over his shoulder, down into the dark, then back at her. Something moved across his face. Not guilt. Pity. "You wouldn't believe me. Morris didn't either, not at first." The name hit her like a slap. Rain drummed on the hoarding behind her. For a moment she couldn't feel her hands. "What did you just say?" But he was already gone, taking the next flight three steps at a time. Quinn went after him. The stairs spiralled down past the depth of any normal station, past a landing where a dead escalator sat frozen in its tracks, its wooden treads grey with dust. The air changed. The diesel stink of the street fell away, and something else rose to replace it. Woodsmoke. Cloves. A copper tang, like old pennies left in a warm palm. And voices. Hundreds of them, a low roar bouncing off curved ceilings. She hit the bottom of the stairs and skidded to a stop. The corridor opened onto a platform, and the platform had become a bazaar. Lanterns hung from the ceiling on lengths of chain, throwing amber light across stalls built from old carriage doors and scaffold poles. A woman with silver rings through her lips weighed powders on a brass scale. A man sold glass jars filled with something that swirled and pulsed against the lids. Down on the tracks, where the rails should have been, rows of tables stretched into the tunnel mouth, crowded with buyers haggling in a dozen accents. Between Quinn and all of it stood a turnstile. Wrought iron, older than the station, its bars twisted into the shapes of thorned branches. Beside it, on a folding stool, sat a woman who might have been sixty or a hundred. A knitted shawl draped her shoulders. Her fingers worked a pair of needles without pause. Herrera was on the far side of the turnstile, twenty feet into the crowd, looking back. Quinn strode towards the gate. The old woman didn't look up. "Token." "Police." Quinn flipped open her warrant card. "The man who just came through. I need to speak to him." The needles clicked. Clicked again. "That's very nice, dear. Token." "I don't have a token." "Then you don't have a way in." The woman finally raised her eyes. They were milky at the edges, but the centres fixed Quinn with uncomfortable sharpness. "He gave me his. Knuckle of a fox, carved proper. Good lad, that one. Always pays." Beyond the turnstile, Herrera hadn't moved. The crowd flowed around him like water around a stone. "Detective." He raised his voice just enough to carry. "She's not bluffing. Without a token, nobody in here owes you anything. Not safe passage. Not a way back out. Nothing." "Is that a threat?" "It's triage." He touched the medallion at his throat, a small gold disc glinting on its chain. "I'm telling you where it hurts before you walk into it." Quinn looked at the turnstile. At the thorned iron bars. At the old woman's needles, which, she noticed now, weren't knitting wool at all but something fine and pale, like hair. She checked her radio. Dead. Not static, not a hiss. Silent, as if it had never been switched on. Her watch read 11:52. The second hand wasn't moving. "What happens if I climb over?" The old woman chuckled, a dry rattle deep in her chest. "Oh, you can. Folk do. The Market's not fussy about who comes in. Only about who it lets leave." Quinn thought about the rain above, the lock bridge, the drunk with his can. The squad car she could summon if she walked back up those stairs and found a signal. The paperwork. The warrant she'd never get, because what would she write? *Suspect fled into an underground market beneath Camden that doesn't appear on any Transport for London survey.* She thought about Morris. About the night his body turned up in a flat in Deptford with every mirror in the place smashed inward, and the coroner who'd refused to meet her eyes. About three years of dead ends and closed files and a Chief Super telling her to take some leave. Morris didn't either, not at first. Herrera was watching her. So was the old woman. So, she realised, were half a dozen of the stallholders nearest the gate. The woman with the silver lip rings had stopped weighing her powders. "He knew my partner." Quinn kept her eyes on Herrera. "You knew DS Morris." "I knew him." "Then you'll tell me what happened to him." "Not here." His jaw tightened. "And not with you on that side of the gate." The old woman set her needles in her lap. "Well, dear? I haven't got all night. Well. I have, but it's the principle." Quinn put her hand on the cold iron of the turnstile. The metal was slick, not with rain but with something warmer, faintly tacky, like sap. The thorns pressed against her palm without breaking the skin. Eighteen years. Every commendation on her wall came from walking through doors other officers waited outside. She tightened her grip, planted her foot on the lower bar, and hauled herself over.
created_at"2026-09-23T17:59:43.067Z" 9/23/2026, 5:59:43 PM
model"anthropic/claude-opus-5.5-20260921"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency5547
moderation_latency(null)
generation_time53319
tokens_prompt1104
tokens_completion2176
native_tokens_prompt1576
native_tokens_completion3449
native_tokens_completion_images(null)
native_tokens_reasoning676
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"
usage0.075284
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790186383-LQUrsSU7NpTFQLJrhAEU"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790186383-WpTNVJZbsSQOBPekSf5r"
upstream_id"msg_011CfLokFqU7GZoLbcY2nmKq"
provider_responses
0
endpoint_id"3a2388bc-3740-4e64-a1f5-4e301726b6b9"
id"msg_011CfLokFqU7GZoLbcY2nmKq"
is_byokfalse
latency1346
model_permaslug"anthropic/claude-opus-5.5-20260921"
provider_name"Claude Platform on AWS"
status200
total_cost0.075284
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
totalTags7
adverbTagCount0
adverbTags(empty)
dialogueSentences35
tagDensity0.2
leniency0.4
rawRatio0
effectiveRatio0
96.32% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1358
totalAiIsmAdverbs1
found
0
adverb"very"
count1
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)
85.27% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1358
totalAiIsms4
found
0
word"thundered"
count1
1
word"footsteps"
count1
2
word"pulsed"
count1
3
word"glinting"
count1
highlights
0"thundered"
1"footsteps"
2"pulsed"
3"glinting"
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
narrationSentences114
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences114
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences140
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen29
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords17
totalWords1356
ratio0.013
matches
0"Suspect fled into an underground market beneath Camden that doesn't appear on any Transport for London survey."
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions8
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions35
wordCount1102
uniqueNames14
maxNameDensity1.27
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Camden2
Raven1
Nest1
Friday-night1
Quinn14
London2
Underground1
Seville1
Herrera6
Transport1
Morris2
Deptford1
Chief1
Super1
persons
0"Raven"
1"Nest"
2"Quinn"
3"Herrera"
4"Morris"
5"Super"
places
0"Friday-night"
1"London"
2"Underground"
3"Seville"
4"Deptford"
globalScore0.865
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences74
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.737
wordCount1356
matches
0"not with rain but with something warmer, faintly tacky, like sap"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences140
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs67
mean20.24
std17.94
cv0.887
sampleLengths
037
115
23
346
437
530
65
711
843
94
104
1128
1221
135
144
159
1611
1748
1851
1917
203
2110
2220
2318
247
253
2621
2710
2822
295
3014
3164
3212
3312
3490
3556
3616
3711
381
3919
405
415
425
4343
4416
4530
464
4728
4831
4919
96.03% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences114
matches
0"been peeled"
1"was winded"
2"been switched"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs176
matches
0"weren't knitting"
1"was watching"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount0
flaggedSentences1
totalSentences140
ratio0.007
matches
0"\"—peat, DI Quinn, you're—up. Location—\""
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount415
adjectiveStacks0
stackExamples(empty)
adverbCount10
adverbRatio0.024096385542168676
lyAdverbCount2
lyAdverbRatio0.004819277108433735
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences140
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences140
mean9.69
std6.43
cv0.663
sampleLengths
017
120
215
33
44
53
618
721
83
915
1016
113
1216
1314
145
156
165
1720
189
196
208
211
221
232
244
2528
265
2716
285
294
301
318
3211
3312
3414
355
363
3714
3813
398
4015
4115
4217
433
443
457
4616
474
4818
497
70.24% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats15
diversityRatio0.4857142857142857
totalSentences140
uniqueOpeners68
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences100
matches
0"Somewhere deeper in, a generator"
1"Then a voice, thin and"
2"Just white noise, rising and"
ratio0.03
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount21
totalSentences100
matches
0"He didn't look back."
1"He never did."
2"He moved like a man"
3"She vaulted a stack of"
4"She ignored it."
5"She waited three seconds, listening"
6"She keyed the radio."
7"She clipped the radio back"
8"Their eyes met."
9"His accent thickened when he"
10"He glanced over his shoulder,"
11"She hit the bottom of"
12"Her fingers worked a pair"
13"They were milky at the"
14"He raised his voice just"
15"He touched the medallion at"
16"She checked her radio."
17"Her watch read 11:52."
18"She thought about Morris."
19"His jaw tightened"
ratio0.21
85.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount75
totalSentences100
matches
0"Rain came down on Camden"
1"Quinn's reflection chased her across"
2"He didn't look back."
3"He never did."
4"He moved like a man"
5"Quinn's lungs burned."
6"She vaulted a stack of"
7"She ignored it."
8"The canal slid past on"
9"A drunk under the bridge"
10"Herrera ducked beneath the railway"
11"The shadows swallowed him whole."
12"Quinn slowed at the mouth"
13"Water dripped from the vaulted"
14"She waited three seconds, listening"
15"She keyed the radio."
16"Static hissed back at her."
17"\"—peat, DI Quinn, you're—up."
18"She clipped the radio back"
19"The arches ran deeper than"
ratio0.75
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences100
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences51
technicalSentenceCount2
matches
0"He moved like a man who'd spent years threading ambulances through Friday-night traffic, all economy and angles, never wasting a step."
1"*Suspect fled into an underground market beneath Camden that doesn't appear on any Transport for London survey.*"
53.57% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags7
uselessAdditionCount1
matches
0"His accent thickened, the Seville vowels rounding off the edges"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences35
tagDensity0.029
leniency0.057
rawRatio0
effectiveRatio0
92.3254%