Run: 2026-09-23-01M37NXQ84Q44N3E1FMKDV43MW

Run Details

Duration:
49.2s
Cost:
$0.072924
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 off the Camden rooftops in sheets and hammered the pavement hard enough to bounce. Quinn took the corner at Parkway with her shoulder low, shoes skidding on a slick of flattened chip papers, and caught the flash of him forty yards ahead: dark jacket, hood down, a black holdall swinging from one fist. "Herrera! Metropolitan Police! Stop there!" He didn't. He vaulted a bollard, cut between two night buses idling nose to tail, and disappeared behind a wall of steamed-up windows. A driver leaned on his horn. Quinn went around the back of the second bus, and the exhaust hit her in a warm, diesel-sour gust before the cold swallowed her again. Her radio crackled against her hip. She ignored it. Backup meant a van, a sergeant with a clipboard, and forty minutes of paperwork explaining why she'd been sitting outside a known associate's flat at one in the morning on her own time. Backup meant losing him. Tomás had been easy to follow until he wasn't. Three weeks she'd watched him. A former paramedic, struck off, who turned up at the Raven's Nest twice a week and left with less than he'd brought. Tonight he'd come out of a basement flat off Camden Road with blood to the elbows, and he'd made her in under ten seconds. She rounded the bus. He was on the far side of the high street, running along the shuttered fronts of the lock market, trainers slapping through puddles that held the orange smear of the streetlights. "You're making this worse, Tommy!" He glanced back. For half a second she saw his face under the sodium glow: young, soaked, jaw clenched. Not afraid of her. Afraid of something behind her, or of being late. Then he turned down a service alley between a vape shop and a boarded-up tattoo parlour. Quinn's lungs burned. Forty-one wasn't old, but the rain had got into her coat and doubled its weight, and her knees reminded her about every flight of stairs she'd taken at a run over eighteen years. She pushed through it and swung into the alley. Bins. A fire escape dripping like a cracked gutter. At the far end, a steel gate chained open, and beyond it a set of tiled steps leading down under a wrought-iron arch. Victorian lettering had been painted over, then painted over again, but the oxblood tiles gave it away. A station entrance. One that hadn't seen a train since before the war. Tomás stood at the top of the steps, chest heaving, one hand braced on the railing. Quinn slowed. She let him see her hands, then let him see the cuffs. "Nowhere left, love. Those tunnels were bricked up in the fifties. I checked." "You checked the wrong maps." His accent had thickened with the running, the Seville vowels rounding everything off. "Go home, Detective." "Whose blood is that?" He looked down at his forearms as though he'd forgotten. The rain had thinned it to pink, streaking down past the ridged white line of an old scar. "A man who'll live. No thanks to your lot." "Then you won't mind telling me his name at the station." "I mind a lot of things." He took a step backwards, down onto the first tread. "Listen to me. Whatever you think I am, I'm the least interesting thing down there. You don't have the right to go where I'm going." "I've got a warrant card that says I go where I like." "Down there, it says nothing." He turned and took the steps two at a time. Quinn swore and followed. The noise of the rain cut off halfway down as if someone had shut a door on it. The air turned heavy and close, thick with wet plaster, old iron, and something sweeter under it, like cloves left to burn. The tiles gave way to bare brick, then to a short passage lit by lamps that shouldn't have worked. Not electric. The flames inside the glass were a shade too green, the colour of the neon over the Nest. Somewhere ahead, voices. Hundreds of them, layered into a low hum, the sound of a Saturday market heard through a wall. The passage opened onto an old ticket hall. Tomás had stopped at the far side, where a turnstile of black wood and brass blocked the way to the platform stairs. Beside it sat a figure on a stool, bundled in so many coats that Quinn couldn't tell where the wool ended and the person began. A long, grey hand stuck out from the sleeve, palm up. Tomás dug into his collar, past a Saint Christopher medallion on a thin chain, and pulled out a second cord. On the end dangled a disc of yellowed bone, carved through the middle with a symbol Quinn didn't recognise. He laid it in the grey palm. The hand closed, turned the token over twice, and gave it back. The turnstile clicked round. "Herrera." He stopped on the other side, the barrier between them. "Don't." He wasn't shouting now. That was worse. "I'm asking you. The Market doesn't take IOUs. You walk in without a token, you pay whatever they decide you owe on the way out. Sometimes that's money. Sometimes it's years. Sometimes it's a name you can't remember afterwards." "Is that a threat?" "It's a price list." He wiped rain from his eyes with the back of a bloody wrist. "I patch people up. That's it. You want a criminal, try upstairs." The figure on the stool shifted. A head emerged from the coats, bald and mottled, with eyes like two drops of oil on water. They fixed on Quinn and stayed there. "Token," it said. The voice sounded like gravel poured slowly into a bucket. "I'm police." "Token." Tomás was backing away now, towards the platform stairs, where the hum grew louder and the green light shivered on the curve of the old tunnel wall. She could see stalls down there. Awnings stitched from what looked like sailcloth. Jars stacked in pyramids, glowing faintly from the inside. A woman with antlers threaded through her braids haggling over a birdcage that held no bird. Quinn's hand went to her radio. One call. A van, torches, a sergeant with a clipboard. She'd seal the entrance and wait him out. And by morning this would be a bricked-up station with a chained gate and nothing behind it. She knew that the way she knew her own pulse. She'd seen it before. A warehouse in Deptford, three years back, that had been full of voices at midnight and empty at dawn. Morris had gone in first. She'd stood outside on the radio, doing it right. Her fingers came away from the handset. "What do you take," she asked the figure, "if I haven't got one?" Across the barrier, Tomás stopped dead. "Quinn. No." The oily eyes slid down her arm and settled on her left wrist. On the watch. Cracked leather strap, a face gone cloudy with age. Morris had given it to her the Christmas before, a joke about her never being on time for anything but a crime scene. The grey hand stayed open. "That," it said. "For the way in. The way out, we discuss after." Tomás gripped the turnstile arm hard enough to whiten his knuckles. "You don't understand what you're agreeing to. Please. I'll come in tomorrow. I'll sit in your interview room and answer everything. Just turn round." Quinn looked at him, then at the lights on the platform, then at the watch. The second hand ticked on, patient, as it always had. She unbuckled the strap. "You'll answer everything," she said, "down there." She laid the watch in the grey palm, and the turnstile clicked round for her.
created_at"2026-09-23T17:44:55.828Z" 9/23/2026, 5:44:55 PM
model"anthropic/claude-opus-5.5-20260921"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency34154
moderation_latency(null)
generation_time49201
tokens_prompt1104
tokens_completion2090
native_tokens_prompt1576
native_tokens_completion3331
native_tokens_completion_images(null)
native_tokens_reasoning790
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"
usage0.072924
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790185495-TCNn2P7Y5pJnHWirMLa1"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790185495-HIewW8pj81GmGmCS2oow"
upstream_id"msg_011CfLncrZSBZJ2AjTiKiZ1K"
provider_responses
0
endpoint_id"3a2388bc-3740-4e64-a1f5-4e301726b6b9"
id"msg_011CfLncrZSBZJ2AjTiKiZ1K"
is_byokfalse
latency1362
model_permaslug"anthropic/claude-opus-5.5-20260921"
provider_name"Claude Platform on AWS"
status200
total_cost0.072924
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)
dialogueSentences27
tagDensity0.259
leniency0.519
rawRatio0
effectiveRatio0
96.16% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1302
totalAiIsmAdverbs1
found
0
adverb"slowly"
count1
highlights
0"slowly"
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)
84.64% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1302
totalAiIsms4
found
0
word"jaw clenched"
count1
1
word"weight"
count1
2
word"electric"
count1
3
word"pulse"
count1
highlights
0"jaw clenched"
1"weight"
2"electric"
3"pulse"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"jaw/fists clenched"
count1
highlights
0"jaw clenched"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences94
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences94
filterMatches
0"see see"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences113
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen39
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1302
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions12
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions30
wordCount1083
uniqueNames13
maxNameDensity0.92
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Camden2
Parkway1
Raven1
Nest2
Road1
Seville1
Saturday1
Quinn10
Saint1
Christopher1
Deptford1
Tomás7
Christmas1
persons
0"Quinn"
1"Saint"
2"Christopher"
3"Tomás"
places
0"Camden"
1"Parkway"
2"Raven"
3"Road"
4"Seville"
5"Deptford"
globalScore1
windowScore1
75.37% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences67
glossingSentenceCount2
matches
0"sounded like gravel poured slowly into a b"
1"looked like sailcloth"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1302
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences113
matches
0"knew that the"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs53
mean24.57
std21.16
cv0.861
sampleLengths
055
15
254
346
460
535
65
732
816
945
1062
1116
1214
1313
1421
154
1628
179
1811
1941
2012
215
2210
2383
2421
2566
2646
2716
281
2910
3047
314
3229
3331
3413
352
361
3765
3824
3964
407
4113
426
432
4448
455
4613
4711
4824
4925
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences94
matches
0"been painted"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs176
matches
0"wasn't shouting"
1"was backing"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences113
ratio0
matches(empty)
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1089
adjectiveStacks1
stackExamples
0"warm, diesel-sour gust"
adverbCount24
adverbRatio0.02203856749311295
lyAdverbCount3
lyAdverbRatio0.0027548209366391185
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences113
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences113
mean11.52
std8.48
cv0.736
sampleLengths
016
139
25
32
421
56
625
76
83
933
104
119
125
1322
1424
154
1631
175
183
1916
204
219
2216
233
2433
259
261
278
2823
2917
303
3110
3216
332
3412
3513
3618
373
384
3910
4018
419
4211
4316
4425
4512
465
4710
484
4918
61.06% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.39823008849557523
totalSentences113
uniqueOpeners45
77.52% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences86
matches
0"Then he turned down a"
1"Somewhere ahead, voices."
ratio0.023
99.07% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount26
totalSentences86
matches
0"He vaulted a bollard, cut"
1"Her radio crackled against her"
2"She ignored it."
3"She rounded the bus."
4"He was on the far"
5"He glanced back."
6"She pushed through it and"
7"She let him see her"
8"His accent had thickened with"
9"He looked down at his"
10"He took a step backwards,"
11"He turned and took the"
12"He laid it in the"
13"He stopped on the other"
14"He wasn't shouting now"
15"He wiped rain from his"
16"They fixed on Quinn and"
17"She could see stalls down"
18"She'd seal the entrance and"
19"She knew that the way"
ratio0.302
47.21% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount71
totalSentences86
matches
0"Rain came off the Camden"
1"Quinn took the corner at"
2"He vaulted a bollard, cut"
3"A driver leaned on his"
4"Quinn went around the back"
5"Her radio crackled against her"
6"She ignored it."
7"Backup meant a van, a"
8"Backup meant losing him."
9"Tomás had been easy to"
10"A former paramedic, struck off,"
11"Tonight he'd come out of"
12"She rounded the bus."
13"He was on the far"
14"He glanced back."
15"Quinn's lungs burned."
16"She pushed through it and"
17"A fire escape dripping like"
18"Victorian lettering had been painted"
19"A station entrance."
ratio0.826
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences86
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences45
technicalSentenceCount1
matches
0"He was on the far side of the high street, running along the shuttered fronts of the lock market, trainers slapping through puddles that held the orange smear o…"
53.57% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags7
uselessAdditionCount1
matches
0"His accent had, the Seville vowels rounding everything off"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount0
fancyTags(empty)
dialogueSentences27
tagDensity0.148
leniency0.296
rawRatio0
effectiveRatio0
89.6201%