Run: 2026-04-24-01KQ02B6XARCM830CAVRJ7Y789

Run Details

Duration:
1m 29s
Cost:
$0.007506
Provider:
DeepInfra

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 the pavement as Detective Harlow Quinn rounded the corner onto Frith Street. Her shoes splashed through puddles that reflected the green neon of The Raven's Nest like broken mirrors. Three blocks ahead, a figure in a dark jacket ducked between two buildings. Quinn broke into a sprint. The suspect had been easy to spot once she knew what to look for—the slight limp, the way he kept his left arm pressed against his body. Tomás Herrera moved like a man who knew the streets were watching him. She'd been tailing him for three nights. Each time, he led her in circles through Soho before vanishing near Camden. Tonight, she wouldn't lose him. Her worn leather watch caught the light from a passing car as she pumped her arms harder. The salt-and-pepper crop of her hair was already soaked, flattened against her skull. Water streamed down her sharp jaw, but she barely felt the cold. Herrera glanced over his shoulder. Their eyes met for half a second—his warm brown gaze catching the amber glow of a streetlight—before he put on speed. "Stop! Police!" He didn't. Of course he didn't. They never did. Quinn's feet pounded the wet asphalt. Her breath came in sharp bursts that fogged in the November air. Herrera was fast, faster than she'd expected from someone with that limp. He cut left down an alley, and she followed, her hand hovering near her radio. Backup was seventeen minutes out. By then, Herrera would be gone. Again. The alley narrowed. Dumpsters overflowed with rotting rubbish, and the smell hit her like a wall. Fire escapes zigzagged overhead like metal skeletons. Rain drummed against corrugated awnings. At the end of the passage, Herrera threw himself through a gap in a chain-link fence. Quinn squeezed through after him. Her jacket caught on the wire, and she heard fabric tear as she wrenched herself free. The pain in her shoulder was distant, unimportant. They were in a service corridor now, the kind that threaded through London's underbelly like veins. Pipes ran along the ceiling, hissing steam into the damp air. Emergency lights cast everything in a sickly yellow. Herrera's footsteps echoed ahead of her, rhythmic and sure. He knew where he was going. The realization made her gut tighten. This wasn't a panicked flight. This was a route. "Herrera!" She pushed harder, her legs burning. "Whatever you're running toward, I will find it!" No response. Just the slap of shoes on concrete and the relentless rain somewhere above them. The corridor descended. Quinn hadn't noticed at first, but the floor sloped downward, and with each step, the air grew thicker, warmer. The yellow emergency lights gave way to something else—a faint luminescence that seemed to pulse from the walls themselves. Like bioluminescence. Like something alive. She slowed. Training screamed at her to assess, to wait for backup, to not pursue a suspect into an unfamiliar environment alone. But Herrera was still ahead, still running, and she could hear his breathing now, harsh and labored. The corridor opened into a wider space. Quinn emerged from the service tunnel and found herself standing at the top of a escalator that had been dead for what looked like decades. Below her, an abandoned Tube station stretched out like a fever dream. The Veil Market. She'd read reports. Rumours. Whispers from informants who'd gone pale when she pressed for details. A black market that moved locations. Goods that shouldn't exist. People who weren't entirely human. She'd filed it under urban legends, the kind of things that cropped up when you investigated cases with no rational explanation. Cases like Morris's. Quinn's hand went to her watch without thinking. The worn leather was familiar beneath her fingers. Three years, and she still reached for it when the memories surfaced. Below, the market sprawled. Stalls crowded the platforms, draped in fabrics that shimmered with colours she couldn't name. Candles floated in midair, casting dancing shadows across faces that weren't always faces. The air hummed with a low vibration she felt in her teeth rather than heard. Scents collided—incense and copper, something sweet rotting underneath. And there, weaving between the stalls with practiced ease, was Herrera. His dark jacket was unmistakable. The Saint Christopher medallion caught the candlelight as he moved, a flash of silver against his olive skin. Quinn started down the escalator. The steps groaned beneath her weight. Dust and debris shifted, disturbed for the first time in what might have been years. Halfway down, she passed through something—a membrane of cold air that made her gasp. Like walking through a curtain of ice water that left her skin dry but her bones chilled. No one looked at her. That was the strangest part. The market's patrons moved around her as if she were a stone in a stream, flowing past without acknowledgment. Their eyes—if they had eyes—slid over her like she wasn't there. Or like they didn't want to see her. A vendor to her left held up a jar containing something that writhed and glowed. Another stall displayed weapons that seemed to breathe. A woman with too many fingers counted coins that rang with harmonics that made Quinn's ears ache. Herrera was getting further away. She could see him approaching a tunnel at the far end of the platform, one that led deeper into the dark. "Excuse me." A voice like gravel and honey. "You don't have a token." Quinn turned. The speaker stood between her and the platform—a figure draped in robes that shifted like oil on water. Where a face should have been, there was only shadow, though the voice came clearly enough. "I'm following a suspect." "Everyone's following something." The figure tilted what might have been a head. "But the Market requires payment. Bone token. You carry bone, or you carry on." Quinn's hand moved toward her badge. Instinct. She stopped herself. Whatever this was, official credentials would mean nothing here. Herrera had stopped at the tunnel entrance. He turned, and for the first time since the chase began, he looked at her directly. His face was unreadable at this distance, but she caught the glint of his medallion, the set of his shoulders. He wasn't running anymore. He was waiting. The rain above was a distant memory. The hum of the Market pressed against her eardrums. Somewhere to her right, something laughed in a frequency that made her teeth itch. Seventeen minutes for backup. If she called now. If they could even find this place. If they believed her when she told them where she was. The memory of Morris flickered. His face the last time she'd seen him, twisted in confusion and fear, reaching for something she couldn't see, couldn't understand. The case file that listed his death as "accidental" when she knew—she knew—it was anything but. Herrera was connected to that world. The world Morris had stumbled into. The world that had taken him. The robed figure waited. The Market breathed around her. Herrera stood at the threshold of something vast and incomprehensible, and he was waiting for her to decide. Quinn's fingers released her watch.
created_at"2026-04-24T15:39:43.411Z" 4/24/2026, 3:39:43 PM
model"z-ai/glm-5.1-20260406"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1014
moderation_latency(null)
generation_time88971
tokens_prompt1140
tokens_completion2251
native_tokens_prompt990
native_tokens_completion1863
native_tokens_completion_images(null)
native_tokens_reasoning392
native_tokens_cached64
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"
usage0.00750592
router(null)
provider_responses
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endpoint_id"e888c44c-6a07-4a9e-bc56-cb26511865ec"
id"chatcmpl-RVVo2ZPXJzqX9QPWDA2qeKsQ"
is_byokfalse
latency114
model_permaslug"z-ai/glm-5.1-20260406"
provider_name"DeepInfra"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777045183-9zyBa9xzmDO3M7kwhp1X"
session_id(null)
api_type"completions"
id"gen-1777045183-6ns6BRtW1XmCBSZChFih"
upstream_id"chatcmpl-RVVo2ZPXJzqX9QPWDA2qeKsQ"
total_cost0.00750592
cache_discount0.000054079
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provider_name"DeepInfra"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags3
adverbTagCount0
adverbTags(empty)
dialogueSentences9
tagDensity0.333
leniency0.667
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1199
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)
45.79% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1199
totalAiIsms13
found
0
word"footsteps"
count1
1
word"echoed"
count1
2
word"rhythmic"
count1
3
word"pulse"
count1
4
word"familiar"
count1
5
word"shimmered"
count1
6
word"dancing"
count1
7
word"practiced ease"
count1
8
word"weight"
count1
9
word"chilled"
count1
10
word"unreadable"
count1
11
word"glint"
count1
12
word"flickered"
count1
highlights
0"footsteps"
1"echoed"
2"rhythmic"
3"pulse"
4"familiar"
5"shimmered"
6"dancing"
7"practiced ease"
8"weight"
9"chilled"
10"unreadable"
11"glint"
12"flickered"
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
emotionTells1
narrationSentences120
matches
0"d in confusion"
83.33% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount2
narrationSentences120
filterMatches
0"watch"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences125
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen28
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1188
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions1
unquotedAttributions0
matches(empty)
97.74% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions47
wordCount1148
uniqueNames19
maxNameDensity1.05
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Herrera"
discoveredNames
Detective1
Harlow1
Quinn12
Frith1
Street1
Raven1
Nest1
Herrera12
Soho1
Camden1
November1
London1
Tube1
Veil1
Market3
Morris3
Saint1
Christopher1
Like3
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Nest"
4"Herrera"
5"Market"
6"Morris"
7"Saint"
8"Christopher"
9"Like"
places
0"Frith"
1"Street"
2"Soho"
3"Camden"
4"November"
5"London"
globalScore0.977
windowScore1
55.06% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences79
glossingSentenceCount3
matches
0"luminescence that seemed to pulse from the walls themselves"
1"looked like decades"
2"weapons that seemed to breathe"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1188
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences125
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs42
mean28.29
std17.81
cv0.63
sampleLengths
044
15
265
342
426
52
69
757
844
929
1044
116
1215
1315
1416
1546
1639
1744
183
1951
203
2128
2254
2334
245
2552
2648
2740
2826
2913
3036
314
3226
3319
3447
353
3630
3726
3842
3918
4027
415
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences120
matches
0"was connected"
14.81% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount6
totalVerbs216
matches
0"were watching"
1"was going"
2"was getting"
3"wasn't running"
4"was waiting"
5"was waiting"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount11
semicolonCount0
flaggedSentences8
totalSentences125
ratio0.064
matches
0"The suspect had been easy to spot once she knew what to look for—the slight limp, the way he kept his left arm pressed against his body."
1"Their eyes met for half a second—his warm brown gaze catching the amber glow of a streetlight—before he put on speed."
2"The yellow emergency lights gave way to something else—a faint luminescence that seemed to pulse from the walls themselves."
3"Scents collided—incense and copper, something sweet rotting underneath."
4"Halfway down, she passed through something—a membrane of cold air that made her gasp."
5"Their eyes—if they had eyes—slid over her like she wasn't there."
6"The speaker stood between her and the platform—a figure draped in robes that shifted like oil on water."
7"The case file that listed his death as \"accidental\" when she knew—she knew—it was anything but."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1162
adjectiveStacks0
stackExamples(empty)
adverbCount30
adverbRatio0.025817555938037865
lyAdverbCount7
lyAdverbRatio0.006024096385542169
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences125
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences125
mean9.5
std5.95
cv0.626
sampleLengths
014
117
213
35
427
513
67
713
85
917
1013
1112
125
1321
142
152
164
173
186
1912
2012
2115
225
236
241
253
2613
277
285
2916
305
3116
328
3316
3411
358
369
376
386
395
404
417
428
432
4414
453
4619
4719
482
493
68.80% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats9
diversityRatio0.456
totalSentences125
uniqueOpeners57
89.29% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences112
matches
0"Of course he didn't."
1"Just the slap of shoes"
2"Somewhere to her right, something"
ratio0.027
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount22
totalSentences112
matches
0"Her shoes splashed through puddles"
1"She'd been tailing him for"
2"Her worn leather watch caught"
3"Their eyes met for half"
4"They never did."
5"Her breath came in sharp"
6"He cut left down an"
7"Her jacket caught on the"
8"They were in a service"
9"He knew where he was"
10"She pushed harder, her legs"
11"She'd read reports."
12"She'd filed it under urban"
13"His dark jacket was unmistakable."
14"Their eyes—if they had eyes—slid"
15"She could see him approaching"
16"She stopped herself."
17"He turned, and for the"
18"His face was unreadable at"
19"He wasn't running anymore."
ratio0.196
58.21% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount90
totalSentences112
matches
0"Her shoes splashed through puddles"
1"Quinn broke into a sprint."
2"The suspect had been easy"
3"Tomás Herrera moved like a"
4"She'd been tailing him for"
5"Each time, he led her"
6"Tonight, she wouldn't lose him."
7"Her worn leather watch caught"
8"The salt-and-pepper crop of her"
9"Water streamed down her sharp"
10"Herrera glanced over his shoulder."
11"Their eyes met for half"
12"They never did."
13"Quinn's feet pounded the wet"
14"Her breath came in sharp"
15"Herrera was fast, faster than"
16"He cut left down an"
17"Backup was seventeen minutes out."
18"The alley narrowed."
19"Dumpsters overflowed with rotting rubbish,"
ratio0.804
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount3
totalSentences112
matches
0"If she called now."
1"If they could even find"
2"If they believed her when"
ratio0.027
69.97% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences49
technicalSentenceCount5
matches
0"The yellow emergency lights gave way to something else—a faint luminescence that seemed to pulse from the walls themselves."
1"She'd filed it under urban legends, the kind of things that cropped up when you investigated cases with no rational explanation."
2"Halfway down, she passed through something—a membrane of cold air that made her gasp."
3"The market's patrons moved around her as if she were a stone in a stream, flowing past without acknowledgment."
4"Somewhere to her right, something laughed in a frequency that made her teeth itch."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags3
uselessAdditionCount1
matches
0"She pushed, her legs burning"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
82.7669%