Run: 2026-09-03-01M1M0XA67KE7V8BQ4GXJG3GWS

Run Details

Duration:
3m 49s
Cost:
$0.034431
Provider:
Tencent

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
The green neon sign above The Raven's Nest buzzed, bleeding color onto the slick pavement. Rain hammered the awning. The door swung open. Behind it, the warm gloom showed a wall of old maps and black-and-white photographs. Tomás Herrera stepped into the downpour. Quinn unfolded from the alley mouth across the street. Rainwater ran down the sharp line of her jaw. She'd watched the green neon sign for hours, waiting for him to slip out of the secret room behind the bookshelf, the one kept for clandestine meetings. He'd used the front instead, shoulder hunched against the weather, the Saint Christopher medallion at his throat catching the neon. He turned east, away from the crowds. Quinn crossed the road, boots slapping through a puddle. The worn leather watch on her left wrist caught on her sleeve; she ripped it free and kept moving. “Herrera! Police! Don't run!” He ran. Shoulders low, he cut down a narrow alley choked with bin bags. The soles of his shoes slapped water. Quinn followed, the drilled economy of a soldier in every stride. The alley spat them onto a wider street where rain turned the asphalt into a black mirror and neon reflections bled across the wet surface. Herrera's Saint Christopher medallion bounced against his chest, a tiny flash of gold with every footfall. “I've got nothing to say to you, detective.” “You stitched a clique soldier in a Soho back room. That makes you my witness.” Herrera dodged a delivery cyclist. The bike skidded, crashed; the rider swore. Herrera didn't look back. “Witnesses don't run, Tommy.” “Witnesses don't get followed by a detective who still talks to a dead man.” The words hit. Quinn's throat tightened. DS Morris had died three years ago, throat torn open in a stairwell on a case the Met shelved as misadventure. She'd found his body, seen the shape of the wound, smelled the ozone and rot the file never mentioned. She knew what she'd seen. She knew nothing else. “Morris died because people like you keep their mouths shut. I'm done knocking on doors.” “Then stop knocking.” He shoved through a knot of clubbers spilling from a doorway. Quinn shouldered past, ignoring the curses. Her breath came hard. Rain slickened the cropped salt-and-pepper hair at her nape. The chase pulled her north, street by street, past shuttered shops and graffiti-tagged shutters, until the bright crawl of Soho faded behind them. Camden rose around them. Bass from a distant club thudded under the rain, vibrating in the soles of her boots. Herrera slowed at a chain-link fence topped with razor wire, fronting a boarded-up staircase that dropped into the dark beneath Camden High Street. An old Tube sign hung crooked above it, the letters swallowed by rust. The file said the Veil Market festered here until the next full moon. Abandoned station. Sealed to the public. Entry required a bone token. Herrera gripped the fence, vaulted. He landed on the stairs and kept descending. Quinn hit the fence, climbed. Her shoe caught in the links; she tore free, dropped to the concrete steps. The city's noise dulled with every step down. Rain followed them, dripping from the walls, pooling in the treads. The temperature fell, as if the ground itself were holding its breath. The smell changed: damp brick, piss, and underneath, something sharp, like crushed cloves and hot metal. At the bottom, a rusted gate blocked the tunnel mouth. Faded green tiles covered the walls. A service door stood set into the tile, unmarked. A small bronze plate beside it was black with grime. Herrera stopped. He reached under his coat and pulled out a sliver of pale bone, carved with notches. A bone token. Quinn stopped twenty feet away, chest heaving. She kept her voice flat. “That's far enough, Tomás.” “You think I'm scared of you?” The words rolled with the faint lilt of Seville. He pressed the token to the bronze plate. The plate flashed a dull green. The service door groaned, swung inward. Warm light spilled out, gold and amber, carrying the murmur of a hundred voices, the clink of glass, and the wet pop of something being cooked that she couldn't name. The Veil Market. He turned. His warm brown eyes caught the light, hard and knowing. “You follow me in there, you don't come out the same. Token or no token.” Quinn slid her hand into her coat pocket. Her fingers closed on the bone token she'd taken off a dead courier during the Morris case. Smooth, cold, too light. She'd never understood what it opened. She understood enough now. “I've got my own.” Herrera's gaze dropped to her pocket. The scar on his left forearm stood white as he gripped the doorframe. “That's not a ticket, detective. That's a name. You use it, they'll know you.” The door began to close. Somewhere inside, a bell chimed. The market would not wait. Quinn looked at the closing gap, then at Herrera. A former paramedic, stripped of his license for treating patients that shouldn't exist. A man who ran toward the monsters. He'd gone still, waiting. “Morris had a token. He used it. It killed him.” “Or it got him killed. Same thing down here.” The gap narrowed to a hand's width. Warm air breathed against her face, smelling of spices, smoke, and old blood. Quinn's jaw ached. Rainwater ran into her collar. Eighteen years on the job screamed to grab her radio, call for backup, seal the door, wait for a tactical unit that would never come in time. The Met didn't know this place existed. The file had been scraped from an informant's dying words. If she walked away now, Herrera vanished into the crowd beyond, and the clique with him. If she walked in, she entered a black market that moved every full moon, that sold enchanted goods, banned alchemy, and secrets, a place where a detective's badge meant nothing and a bone token meant everything. Her thumb rubbed the notches on the token. Herrera's mouth curved. “Last chance, Harlow. Go home.” The door ground down another inch. Quinn stepped forward. She slapped the bone token against the bronze plate. The plate flashed green. The door halted, then reversed, opening wide. Light washed over her. She crossed the threshold, boots hitting tile, and the door sealed shut behind her with a final, heavy clang. The noise of the market swallowed the sound of the rain.
created_at"2026-09-03T16:16:26.318Z" 9/3/2026, 4:16:26 PM
model"tencent/hy4-preview-20260827"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1678
moderation_latency(null)
generation_time229365
tokens_prompt1104
tokens_completion14939
native_tokens_prompt1016
native_tokens_completion13712
native_tokens_completion_images(null)
native_tokens_reasoning12220
native_tokens_cached896
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"stop"
service_tier(null)
usage0.034431424
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788452186-0QxBJYXTV3p2THoqdQx8"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788452186-SZQg1sd5ggIrURXMFeuD"
upstream_id"a1294009-9b1e-4713-921b-508833f9e504"
provider_responses
0
endpoint_id"ad2a4093-3d2a-41d9-adf1-8b499ac8445d"
id"a1294009-9b1e-4713-921b-508833f9e504"
is_byokfalse
latency1678
model_permaslug"tencent/hy4-preview-20260827"
provider_name"Tencent"
status200
total_cost0.034431424
cache_discount0.000709632
upstream_inference_cost0
provider_name"Tencent"
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
totalTags0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1075
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)
81.40% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1075
totalAiIsms4
found
0
word"gloom"
count1
1
word"clandestine"
count1
2
word"footfall"
count1
3
word"lilt"
count1
highlights
0"gloom"
1"clandestine"
2"footfall"
3"lilt"
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
narrationSentences98
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences98
filterMatches
0"watch"
hedgeMatches
0"began to"
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
maxSentenceWordsSeen36
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1075
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
91.80% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions46
wordCount945
uniqueNames17
maxNameDensity1.16
worstName"Herrera"
maxWindowNameDensity2
worstWindowName"Herrera"
discoveredNames
Raven1
Nest1
Herrera11
Saint2
Christopher2
Morris2
Met2
Soho1
Camden2
High1
Street1
Tube1
Veil2
Market2
Seville1
Rain3
Quinn11
persons
0"Raven"
1"Nest"
2"Herrera"
3"Saint"
4"Christopher"
5"Morris"
6"Met"
7"Market"
8"Rain"
9"Quinn"
places
0"Soho"
1"Camden"
2"High"
3"Street"
4"Seville"
globalScore0.918
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences65
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1075
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences113
matches
0"cooked that she"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs46
mean23.37
std22.97
cv0.983
sampleLengths
043
165
27
328
44
52
671
78
815
916
104
1114
1255
1315
143
1553
1656
1724
1879
1935
2021
2112
224
236
2417
2542
263
2712
2815
2939
304
3119
3214
3315
3433
3510
369
3720
38104
398
403
415
426
4312
4434
4511
98.10% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences98
matches
0"being cooked"
1"been scraped"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs175
matches
0"were holding"
67.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount3
flaggedSentences3
totalSentences113
ratio0.027
matches
0"The worn leather watch on her left wrist caught on her sleeve; she ripped it free and kept moving."
1"The bike skidded, crashed; the rider swore."
2"Her shoe caught in the links; she tore free, dropped to the concrete steps."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount952
adjectiveStacks0
stackExamples(empty)
adverbCount12
adverbRatio0.012605042016806723
lyAdverbCount0
lyAdverbRatio0
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
mean9.51
std6.55
cv0.689
sampleLengths
015
14
24
314
46
59
69
727
820
97
109
1119
124
132
1412
157
1611
1725
1816
198
2015
215
227
234
244
2514
263
273
2821
2919
305
314
3215
333
3411
356
364
379
3823
394
4016
4123
4213
4313
442
454
465
475
488
495
42.48% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats12
diversityRatio0.3185840707964602
totalSentences113
uniqueOpeners36
70.92% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences94
matches
0"Somewhere inside, a bell chimed."
1"Light washed over her."
ratio0.021
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount21
totalSentences94
matches
0"She'd watched the green neon"
1"He'd used the front instead,"
2"He turned east, away from"
3"She'd found his body, seen"
4"She knew what she'd seen."
5"She knew nothing else."
6"He shoved through a knot"
7"Her breath came hard."
8"He landed on the stairs"
9"Her shoe caught in the"
10"He reached under his coat"
11"She kept her voice flat."
12"He pressed the token to"
13"His warm brown eyes caught"
14"Her fingers closed on the"
15"She'd never understood what it"
16"She understood enough now."
17"He'd gone still, waiting."
18"Her thumb rubbed the notches"
19"She slapped the bone token"
ratio0.223
29.15% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount81
totalSentences94
matches
0"The green neon sign above"
1"The door swung open."
2"Tomás Herrera stepped into the"
3"Quinn unfolded from the alley"
4"Rainwater ran down the sharp"
5"She'd watched the green neon"
6"He'd used the front instead,"
7"He turned east, away from"
8"Quinn crossed the road, boots"
9"The worn leather watch on"
10"Shoulders low, he cut down"
11"The soles of his shoes"
12"Quinn followed, the drilled economy"
13"The alley spat them onto"
14"Herrera's Saint Christopher medallion bounced"
15"Herrera dodged a delivery cyclist."
16"The bike skidded, crashed; the"
17"Herrera didn't look back."
18"The words hit."
19"Quinn's throat tightened."
ratio0.862
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences94
matches
0"If she walked away now,"
1"If she walked in, she"
ratio0.021
84.94% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences37
technicalSentenceCount3
matches
0"Herrera slowed at a chain-link fence topped with razor wire, fronting a boarded-up staircase that dropped into the dark beneath Camden High Street."
1"A former paramedic, stripped of his license for treating patients that shouldn't exist."
2"If she walked in, she entered a black market that moved every full moon, that sold enchanted goods, banned alchemy, and secrets, a place where a detective's bad…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags0
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
92.1930%