Run: 2026-02-19-01KHTXPSWEZ9G55YME6PGWR5GH

Run Details

Duration:
29.2s
Cost:
$0.003302
Provider:
Novita

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 slicked the London streets, turning pavement into shimmering black mirrors under the orange glow of streetlights. Detective Harlow Quinn rounded the corner, her worn leather watch ticking away seconds as she pursued the shadow darting ahead. The suspect moved with unnatural speed, weaving through late-night crowds with ease. Quinn's military bearing kept her posture straight despite the burning in her lungs. Eighteen years on the force had taught her when to push and when to conserve energy, but this suspect was different. The alley behind The Raven's Nest had been their starting point, and now they were heading deeper into Soho's labyrinthine streets. The suspect glanced back, his warm brown eyes catching the light for a fraction of a second. Tomás Herrera. The former paramedic had been on her radar for months, providing medical care to members of that supernatural clique she'd been investigating. The Saint Christopher medallion around his neck had glinted when he'd noticed her surveillance outside the bar. "Herrera!" Her voice cut through the rain-muffled sounds of the city. "Stop! Metropolitan Police!" He didn't slow. Instead, he ducked into an narrow service alley between a closed curry house and a bookstore. Quinn followed, her closely cropped salt-and-pepper hair plastered to her forehead. The alley opened onto a small courtyard, and Herrera was already halfway across, heading toward what appeared to be a maintenance entrance for the Underground. "Every time," Quinn muttered, remembering how this case had taken over her life since Morris's death three years ago. How many corners of this city had secrets she was only beginning to uncover? Herrera paused at the entrance, glancing back. His olive skin glistened with rain in the dim light. "You shouldn't follow me, Detective." "Why? What are you hiding?" Quinn closed the distance between them, her sharp jaw set in determination. "The Veil Market? Is that where you're running to?" Herrera's eyes widened slightly. He hadn't expected her to know that name. "How do you—" "I'm a detective. It's my job to know things." Quinn's hand hovered near her waist, where her service weapon would normally be. Tonight, she was following protocol—no firearm during surveillance unless absolutely necessary. She was beginning to question that decision. Herrera reached into his jacket pocket and pulled out a small bone token, etched with strange symbols. "This world isn't what you think it is, Detective Quinn. Some doors, once opened, can't be closed." "Is that a threat?" "No. A warning." He held up the token to a seemingly ordinary patch of wall beside the maintenance door. The air shimmered, and an entrance materialized where none had existed before—darkness beyond. "Your partner Morris found out the same way. Look where that got him." Quinn froze. The mention of her dead partner struck like a physical blow. "What do you know about Morris?" "More than you can imagine." Herrera stepped through the newly appeared doorway. "Follow if you dare. But understand—once you're in, there's no going back to ignorance." The rain poured harder, plastering Quinn's shirt to her body. She stood at the threshold, the decision weighing heavily. This was it—the moment that would define her investigation, perhaps her career. The underground market. The Veil. The supernatural underbelly of London she'd been chasing since Morris died under those unexplained circumstances. She could call for backup, but by the time they arrived, Herrera would be gone. The entrance would seal. Any evidence would disappear. Quinn stepped through the shimmering doorway. The air changed instantly—warmer, thicker, smelling of ozone and something else she couldn't identify. The tunnel stretched before her, lit by floating orbs of blue light that cast eerie shadows on the curved walls. Herrera was already several yards ahead, moving with purpose. "Welcome to the Veil Market, Detective." His voice echoed slightly in the confined space. "Try not to stare. Some of the vendors don't like scrutiny." The tunnel opened into a vast cavern—what must have been an abandoned Tube station beneath Camden. Stalls lined the platforms, selling everything from glowing bottles to what looked like animal parts. Beings of various shapes and sizes haggled over goods, some appearing nearly human, others... not so much. Quinn's mind struggled to process what she was seeing. A woman with feathers instead of hair examined a set of intricately carved bones. A man whose skin shimmered like mother-of-pearl counted coins that vanished and reappeared in his palm. Something that resembled a large cat walked on two legs, examining herbs at a botanical stall. "Keep up," Herrera called back, weaving through the crowd. "And don't touch anything. Some of these artifacts have minds of their own." Quinn followed, her police training screaming at her that this was insane. She should be calling for armed backup, not following a suspect into what appeared to be a supernatural black market. But her curiosity—that trait that had made her such a good detective—pushed her forward. The market sprawled through the abandoned station, stalls occupying platforms and even extending onto the tracks where trains once ran. The air hummed with energy, and every few moments, a ripple would pass through the space, causing items to momentarily glow brighter. "What is this place?" Quinn asked, catching up to Herrera near a stall selling bottles of liquid that seemed to contain miniature storms. "The Veil Market." Herrera picked up one of the bottles, watching the tiny lightning flash inside. "It moves locations every full moon. Bone tokens grant entry. You're lucky I triggered the entrance when I did—otherwise, you'd still be standing in the rain wondering where I went." "Why show me this?" "Because you're not going to stop looking. Morris didn't stop either." Herrera's expression softened slightly. "He was here, months before he died. Asking questions. Buying protective charms. Trying to understand what he'd stumbled into." Quinn's heart raced. "What happened to him?" Herrera met her gaze, his brown eyes serious. "The same thing that could happen to you if you keep digging. But you won't stop, will you?" "No." Quinn's voice was firm. "I won't." "Then you'll need this." Herrera reached into his jacket and pulled out a small leather pouch, pressing it into her hand. "Salt from the Dead Sea. It offers some protection against... less friendly entities." He gestured to his scarred forearm. "Learned that lesson the hard way." Before Quinn could respond, a commotion erupted across the market. Shouts in a language she didn't understand. Herrera's head snapped toward the sound. "Time to go," he said, his expression suddenly urgent. "They're here." "Who's here?" "The collectors. And they're not interested in buying." Herrera grabbed her arm. "Run, Detective. And remember—not everything here fears a badge."
created_at"2026-02-19T12:23:59.123Z" 2/19/2026, 12:23:59 PM
model"z-ai/glm-4.5" 4/5/2001, 12:00:00 AM
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency525
moderation_latency(null)
generation_time29092
tokens_prompt1140
tokens_completion1812
native_tokens_prompt995
native_tokens_completion1451
native_tokens_completion_images0
native_tokens_reasoning0
native_tokens_cached994
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.00330214
router(null)
provider_responses
0
endpoint_id"e4ada6ec-12e7-49c9-837c-398dee612403"
id"a3ed9e1e1684eb372757b305a0ff5223"
is_byokfalse
latency525
model_permaslug"z-ai/glm-4.5" 4/5/2001, 12:00:00 AM
provider_name"Novita"
status200
api_type"completions"
id"gen-1771503839-hjrQ3TfnkhEJ4UDMkWCj"
upstream_id"a3ed9e1e1684eb372757b305a0ff5223"
total_cost0.00330214
cache_discount0.00048706
upstream_inference_cost0
provider_name"Novita"

Evaluation details

Result Evaluator Details Meta Data
91.89% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags14
adverbTagCount2
adverbTags
0"His voice echoed slightly [slightly]"
1"Herrera's expression softened slightly [slightly]"
dialogueSentences37
tagDensity0.378
leniency0.757
rawRatio0.143
effectiveRatio0.108
82.17% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1122
totalAiIsmAdverbs4
found
0
adverb"slightly"
count3
1
adverb"suddenly"
count1
highlights
0"slightly"
1"suddenly"
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)
73.26% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1122
totalAiIsms6
found
0
word"absolutely"
count1
1
word"etched"
count1
2
word"shimmered"
count2
3
word"echoed"
count1
4
word"raced"
count1
highlights
0"absolutely"
1"etched"
2"shimmered"
3"echoed"
4"raced"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes widened"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells1
narrationSentences72
matches
0"t in determination"
63.49% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount3
narrationSentences72
filterMatches
0"watch"
hedgeMatches
0"appeared to"
1"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences93
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen31
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1106
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
33.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions46
wordCount832
uniqueNames15
maxNameDensity1.92
worstName"Herrera"
maxWindowNameDensity4
worstWindowName"Herrera"
discoveredNames
London2
Harlow1
Quinn15
Raven1
Nest1
Soho1
Herrera16
Saint1
Christopher1
Underground1
Morris2
Tonight1
Veil1
Tube1
Camden1
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Nest"
4"Herrera"
5"Saint"
6"Christopher"
7"Morris"
places
0"London"
1"Soho"
globalScore0.538
windowScore0.333
22.88% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences59
glossingSentenceCount3
matches
0"the token to a seemingly ordinary patch of w"
1"looked like animal parts"
2"liquid that seemed to contain miniature storms"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1106
matches(empty)
94.98% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount2
totalSentences93
matches
0"know that name"
1"question that decision"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs37
mean29.89
std16.76
cv0.561
sampleLengths
049
155
258
314
455
533
622
726
815
940
1034
114
1245
1319
1426
1551
1623
176
1843
1925
2048
2155
2222
2346
2442
2523
2646
274
2834
297
3026
317
3246
3323
3411
352
3621
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences72
matches(empty)
17.35% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs146
matches
0"were heading"
1"was following"
2"was beginning"
3"was seeing"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount7
semicolonCount0
flaggedSentences6
totalSentences93
ratio0.065
matches
0"Tonight, she was following protocol—no firearm during surveillance unless absolutely necessary."
1"The air shimmered, and an entrance materialized where none had existed before—darkness beyond."
2"This was it—the moment that would define her investigation, perhaps her career."
3"The air changed instantly—warmer, thicker, smelling of ozone and something else she couldn't identify."
4"The tunnel opened into a vast cavern—what must have been an abandoned Tube station beneath Camden."
5"But her curiosity—that trait that had made her such a good detective—pushed her forward."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount845
adjectiveStacks0
stackExamples(empty)
adverbCount31
adverbRatio0.036686390532544376
lyAdverbCount16
lyAdverbRatio0.01893491124260355
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences93
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences93
mean11.89
std6.43
cv0.54
sampleLengths
017
120
212
313
421
521
617
72
822
917
1011
113
123
1316
1411
1525
1619
1714
187
1910
205
2117
229
234
248
253
2622
2711
287
2917
3017
314
3219
3313
3413
352
3611
376
3812
3914
4010
419
4212
433
442
4515
4615
474
484
496
76.70% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.5053763440860215
totalSentences93
uniqueOpeners47
48.31% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences69
matches
0"Instead, he ducked into an"
ratio0.014
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount12
totalSentences69
matches
0"Her voice cut through the"
1"He didn't slow."
2"His olive skin glistened with"
3"He hadn't expected her to"
4"She was beginning to question"
5"He held up the token"
6"She stood at the threshold,"
7"She could call for backup,"
8"His voice echoed slightly in"
9"She should be calling for"
10"He gestured to his scarred"
11"he said, his expression suddenly"
ratio0.174
10.72% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount62
totalSentences69
matches
0"Rain slicked the London streets,"
1"Detective Harlow Quinn rounded the"
2"The suspect moved with unnatural"
3"Quinn's military bearing kept her"
4"The alley behind The Raven's"
5"The suspect glanced back, his"
6"The former paramedic had been"
7"The Saint Christopher medallion around"
8"Her voice cut through the"
9"He didn't slow."
10"Quinn followed, her closely cropped"
11"The alley opened onto a"
12"Quinn muttered, remembering how this"
13"Herrera paused at the entrance,"
14"His olive skin glistened with"
15"Quinn closed the distance between"
16"Herrera's eyes widened slightly."
17"He hadn't expected her to"
18"Quinn's hand hovered near her"
19"Tonight, she was following protocol—no"
ratio0.899
72.46% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences69
matches
0"Before Quinn could respond, a"
ratio0.014
63.49% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences36
technicalSentenceCount4
matches
0"This was it—the moment that would define her investigation, perhaps her career."
1"A man whose skin shimmered like mother-of-pearl counted coins that vanished and reappeared in his palm."
2"Something that resembled a large cat walked on two legs, examining herbs at a botanical stall."
3"But her curiosity—that trait that had made her such a good detective—pushed her forward."
89.29% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags14
uselessAdditionCount1
matches
0"he said, his expression suddenly urgent"
95.95% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount2
fancyTags
0"Quinn muttered (mutter)"
1"Herrera called back (call back)"
dialogueSentences37
tagDensity0.108
leniency0.216
rawRatio0.5
effectiveRatio0.108
77.8764%