Run: 2026-02-19-01KHTYY6B5Q0BMCTZ40RM8ZGFS

Run Details

Duration:
1m 33s
Cost:
$0.005928
Provider:
Z.AI

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 rain came down in sheets, turning the London pavement into a maze of reflections and shadows. Harlow Quinn's boots hammered against wet cobblestones, her breath coming in sharp bursts that burned her lungs. Twenty metres ahead, the figure in the dark jacket ducked around a corner, vanishing into the warren of alleyways that threaded through Camden. Quinn didn't slow. Her hand pressed against the damp brick as she swung round the corner, keeping her centre of gravity low. Military training. Eighteen years on the force hadn't dulled those instincts. The alley stretched ahead, narrow and reeking of stale beer and rotting rubbish. A single flickering streetlight cast long, skeletal shadows. The suspect was already at the far end, fumbling with something near a rusted service door. She needed to end this. "Stop! Police!" The figure's head snapped round. A young face, pale and terrified, eyes wide as dinner plates. Then he was through the door, and Quinn was running again, her shoulder slamming into the metal as she burst through after him. The stairwell on the other side plunged downward into darkness. The kind of darkness that swallowed sound and light whole. Her hand found the torch on her belt, the beam cutting through the black to reveal graffiti-covered walls and broken tiles underfoot. An abandoned Tube station. She'd heard whispers about places like this. Her watch — the old leather band worn smooth from years of wear — caught the light as she checked the time. Quarter past midnight. She'd been chasing this kid for six blocks. "Come on," she muttered, starting down the stairs. Each step echoed in the void. The air grew colder as she descended. Damp. Stale. But something else lingered beneath it — an odd sweetness, like incense burning in a church. The walls changed too. The graffiti gave way to older stonework, and strange symbols had been carved into the surfaces at irregular intervals. Quinn's jaw tightened. Three years ago, she'd have called this routine. Three years ago, she'd have charged in without a second thought. Three years ago, DS Morris was still alive. The stairs ended at a platform. Old tracks stretched into darkness on either side, the third rail rusted and useless. But the platform itself had been transformed. Canvas stalls lined the space, their awnings creating a patchwork roof beneath the vaulted ceiling. Candles flickered in glass jars, casting everything in amber light. She'd found it. The market she'd heard about in hushed conversations at The Raven's Nest, when they thought she wasn't listening. The place where people went when regular channels failed. The Veil Market. Quinn pressed herself against a pillar, pulse racing. The suspect was nowhere in sight. But the market — it was still active. People moved between the stalls, their faces obscured by hooded cloaks or theatrical masks. One vendor appeared to be selling jars of something that luminesced faintly. Another had laid out an array of crystals and dried herbs that seemed to shift colours when she wasn't looking directly at them. A woman passed within arm's reach, her basket filled with what looked like bones. Actual bones, some carved with symbols, others left raw and yellowed with age. Quinn's hand drifted to her hip. Her fingers brushed the grip of her service weapon, but she didn't draw. "Fresh vervain, gathered under the new moon!" a voice called out. "Dragon's blood resin, guaranteed authentic!" What the hell was dragon's blood resin? She counted the exits. Two tunnels at the far end of the platform, both disappearing into blackness. The way she'd come. And a service door near what looked like an old ticket booth, now converted into some kind of information kiosk. The suspect could have taken any of them. A man emerged from behind a curtain near one of the stalls. Olive skin, dark curly hair, a Saint Christopher medallion catching the candlelight. Tomás Herrera. Quinn recognised him from the surveillance photos. The paramedic who'd lost his license. The one who patched up people who couldn't go to hospitals. Their eyes met. Quinn stepped forward, keeping her movements slow and deliberate. She held up her badge, though she suspected identification meant little in a place like this. "Detective Quinn, Metropolitan Police. I'm looking for a young man who came through here. Dark jacket, ran like he had the devil on his heels." Herrera's expression gave nothing away. He glanced at the badge, then at her face, then at something over her shoulder. "You're a long way from your jurisdiction, Detective." "Camden's still London." A small smile tugged at the corner of his mouth. "Is it?" Quinn let that one sit. She'd learned, over the past three years, that the city had layers. Layers within layers. Places that didn't appear on any map. Places where the rules she'd spent her career upholding simply didn't apply. This appeared to be one of those places. "The boy," she pressed. "Where did he go?" "Might depend on who's asking. And why." "He's a person of interest in an ongoing investigation." Herrera crossed his arms. The movement shifted his sleeve, revealing the edge of a scar running along his forearm. Knife wound, by the look of it. Old, but deep. "Lot of people come through here, Detective. Lot of them running from something. Can't just hand out directions to anyone who asks." He paused, letting the sounds of the market fill the space between them. "Some doors, once you go through them, you can't come back the same." Was that a threat? A warning? Or something else entirely? Quinn thought about Morris. About the case that had killed him — though officially, it hadn't. About the things she'd seen in the weeks before his death that she'd forced herself to rationalise. The shadows that moved wrong. The witnesses who spoke of impossible things before clamming up entirely. The way her partner's notes had devolved into frantic scrawls about doors and thresholds and places between. She'd spent three years pretending none of it was real. Pretending the world still made sense. "The boy," she said again, quieter this time. "Please." Herrera studied her for a long moment. Then he stepped aside, gesturing toward the darker of the two tunnels. "He went that way. But Detective—" He caught her arm as she moved past, his grip firm but not aggressive. "Whatever you're chasing, make sure it's worth what you might find." Quinn looked at his hand until he released her. Then she walked toward the tunnel. The darkness swallowed the candlelight within a dozen steps. She clicked her torch back on, the beam revealing rough-hewn walls that looked far older than any Tube station had a right to be. The air had changed again — thicker now, charged with something that made the fine hairs on her arms stand on end. She could still turn back. Return to the world she understood. File a report about losing a suspect in unfamiliar territory. Let someone else handle whatever lay ahead. But that was the problem, wasn't it? There was no one else. There hadn't been since Morris. Her fingers found the worn leather of her watch band. A habit. A touchstone. Then she stepped forward into the unknown.
created_at"2026-02-19T12:45:29.835Z" 2/19/2026, 12:45:29 PM
model"z-ai/glm-5-20260211"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency5579
moderation_latency(null)
generation_time93046
tokens_prompt1140
tokens_completion2181
native_tokens_prompt990
native_tokens_completion1783
native_tokens_completion_images(null)
native_tokens_reasoning296
native_tokens_cached960
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"
usage0.0059276
router(null)
provider_responses
0
endpoint_id"85146950-32c1-410b-9b81-4467d938fd16"
id"20260219204530888fbe98163e48da"
is_byokfalse
latency5579
model_permaslug"z-ai/glm-5-20260211"
provider_name"Z.AI"
status200
api_type"completions"
id"gen-1771505129-aMTJdjGGoP92a8Gu2g0a"
upstream_id"20260219204530888fbe98163e48da"
total_cost0.0059276
cache_discount0.000768
upstream_inference_cost0
provider_name"Z.AI"

Evaluation details

Result Evaluator Details Meta Data
88.89% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags6
adverbTagCount1
adverbTags
0"she said again [again]"
dialogueSentences18
tagDensity0.333
leniency0.667
rawRatio0.167
effectiveRatio0.111
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1202
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)
75.04% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1202
totalAiIsms6
found
0
word"echoed"
count1
1
word"charged"
count2
2
word"flickered"
count1
3
word"pulse"
count1
4
word"racing"
count1
highlights
0"echoed"
1"charged"
2"flickered"
3"pulse"
4"racing"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"without second thought"
count1
highlights
0"without a second thought"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences115
matches(empty)
80.75% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount3
narrationSentences115
filterMatches
0"watch "
1"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)
analyzedSentences127
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen35
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1206
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions8
unquotedAttributions0
matches(empty)
98.84% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions32
wordCount1075
uniqueNames14
maxNameDensity1.02
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
London1
Quinn11
Camden1
Tube2
Morris3
Raven1
Nest1
Veil1
Market1
Saint1
Christopher1
Herrera4
Was1
Three3
persons
0"Quinn"
1"Morris"
2"Market"
3"Saint"
4"Christopher"
5"Herrera"
6"Was"
places
0"London"
1"Camden"
2"Raven"
globalScore0.988
windowScore1
58.54% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences82
glossingSentenceCount3
matches
0"herbs that seemed to shift colours when she wasn't looking directly at them"
1"looked like bones"
2"looked like an old ticket booth, now conv"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1206
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences127
matches
0"Was that a"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs50
mean24.12
std18.32
cv0.76
sampleLengths
057
133
237
35
42
539
653
733
814
948
1022
118
1252
1330
143
1571
1627
1719
1816
197
2041
218
2250
233
2425
2525
2620
278
283
2912
3039
318
328
337
349
3529
3648
3710
3866
3916
409
4119
4231
439
446
4555
4628
4717
4814
497
99.16% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences115
matches
0"been carved"
1"been transformed"
87.64% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs178
matches
0"was running"
1"wasn't listening"
2"wasn't looking"
30.37% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount6
semicolonCount0
flaggedSentences5
totalSentences127
ratio0.039
matches
0"Her watch — the old leather band worn smooth from years of wear — caught the light as she checked the time."
1"But something else lingered beneath it — an odd sweetness, like incense burning in a church."
2"But the market — it was still active."
3"About the case that had killed him — though officially, it hadn't."
4"The air had changed again — thicker now, charged with something that made the fine hairs on her arms stand on end."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1071
adjectiveStacks1
stackExamples
0"hammered against wet cobblestones,"
adverbCount30
adverbRatio0.028011204481792718
lyAdverbCount8
lyAdverbRatio0.007469654528478058
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences127
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences127
mean9.5
std6.2
cv0.653
sampleLengths
017
117
223
33
419
52
69
713
88
916
105
112
125
1311
1423
1510
1610
1722
184
197
2022
213
228
238
246
257
261
271
2816
294
3019
313
328
3311
348
356
3614
377
3815
3910
403
4118
429
433
448
456
468
4714
4812
4923
65.88% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats13
diversityRatio0.4566929133858268
totalSentences127
uniqueOpeners58
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount4
totalSentences107
matches
0"Then he was through the"
1"Then he stepped aside, gesturing"
2"Then she walked toward the"
3"Then she stepped forward into"
ratio0.037
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount21
totalSentences107
matches
0"Her hand pressed against the"
1"She needed to end this."
2"Her hand found the torch"
3"She'd heard whispers about places"
4"Her watch — the old"
5"She'd been chasing this kid"
6"she muttered, starting down the"
7"She'd found it."
8"Her fingers brushed the grip"
9"She counted the exits."
10"Their eyes met."
11"She held up her badge,"
12"He glanced at the badge,"
13"She'd learned, over the past"
14"He paused, letting the sounds"
15"She'd spent three years pretending"
16"she said again, quieter this"
17"He caught her arm as"
18"She clicked her torch back"
19"She could still turn back."
ratio0.196
95.51% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount78
totalSentences107
matches
0"The rain came down in"
1"Harlow Quinn's boots hammered against"
2"Quinn didn't slow."
3"Her hand pressed against the"
4"The alley stretched ahead, narrow"
5"A single flickering streetlight cast"
6"The suspect was already at"
7"She needed to end this."
8"The figure's head snapped round."
9"A young face, pale and"
10"The stairwell on the other"
11"The kind of darkness that"
12"Her hand found the torch"
13"An abandoned Tube station."
14"She'd heard whispers about places"
15"Her watch — the old"
16"Quarter past midnight."
17"She'd been chasing this kid"
18"she muttered, starting down the"
19"Each step echoed in the"
ratio0.729
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences107
matches(empty)
ratio0
80.75% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences46
technicalSentenceCount4
matches
0"Twenty metres ahead, the figure in the dark jacket ducked around a corner, vanishing into the warren of alleyways that threaded through Camden."
1"Then he was through the door, and Quinn was running again, her shoulder slamming into the metal as she burst through after him."
2"The witnesses who spoke of impossible things before clamming up entirely."
3"She clicked her torch back on, the beam revealing rough-hewn walls that looked far older than any Tube station had a right to be."
41.67% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags6
uselessAdditionCount1
matches
0"He caught, his grip firm but not aggressive"
38.89% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount2
fancyTags
0"she muttered (mutter)"
1"she pressed (press)"
dialogueSentences18
tagDensity0.167
leniency0.333
rawRatio0.667
effectiveRatio0.222
84.5305%