Run: 2026-02-19-01KHTYPTVC0JE2QY6ACZ4BQ4WV

Run Details

Duration:
1m 41s
Cost:
$0.006203
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
Rain hammered the pavement in sheets, turning the London street into a river of reflected neon and shadow. Harlow Quinn's boots slapped against wet cobblestones as she rounded the corner, her breath coming in sharp bursts that fogged in the cold November air. Fifty metres ahead, a figure in a dark jacket darted between parked cars and vanished down a service alley. She pushed harder. Her legs burned. Three years of desk work and sleepless nights had stolen the edge off her stamina, but adrenaline bridged the gap. The alley narrowed between brick walls slick with rain and grime. Overflowing bins spilled rubbish across the ground, and she caught her heel on a discarded takeaway container, stumbled, caught herself against a drainpipe. The figure was already at the far end, turning left. The distinctive glint of a Saint Christopher medallion caught the streetlight for just a moment before he disappeared from view. She knew that medallion. Tomás Herrera. The paramedic who'd lost his license under mysterious circumstances. The one who kept turning up in her investigation like a bad penny, always on the periphery, never close enough to question. Her hand found the wall and she steadied herself. The service road behind the row of shops was empty, but a fire escape ladder rattled somewhere above. She looked up. Nothing. The rain drove into her eyes and she blinked it away, wiping her face with the back of her hand. A clang echoed from below ground. Quinn froze. She swept her torch beam across the pavement. A rusted grate sat flush against the curb, water pooling around its edges. Fresh scratches marked the metal where something had recently pried it open. She knelt, examining the grooves. The scratches were too clean, too deliberate. Someone had forced this recently. Minutes ago. She grabbed the grate with both hands and pulled. It resisted, then gave with a screech of metal against stone. A dark opening yawned beneath, and the smell hit her immediately. Stale air, something metallic, and beneath that, an undertone she couldn't name. Something that made the fine hairs on her arms stand at attention. The ladder descended into darkness. Her torch beam couldn't find the bottom. Her radio crackled at her hip. She ignored it. Control could wait. Morris had waited, three years ago, and by the time backup arrived— She pushed the thought aside and swung her legs into the hole. The ladder rungs were cold and slick under her palms. She counted as she descended. Ten rungs. Fifteen. Twenty. The street sounds above faded to nothing, replaced by the echo of dripping water and the distant rumble of something larger. Trains, maybe. The Underground ran through these tunnels, but this didn't feel like any Tube station she'd ever used. Her foot found solid ground. The torch beam revealed a brick tunnel stretching in both directions, the ceiling low enough that she'd have to crouch if she walked down the centre. Old pipes ran along the walls, some rusted through, others wrapped in layers of tape and something that looked organic. Vines, perhaps, though nothing should grow this far underground. Water splashed ahead. Footsteps. She killed the torch and pressed herself against the wall. The darkness was absolute. Her breathing sounded too loud, her heartbeat louder still. She waited. Counted to thirty. A light flickered in the distance. Orange, wavering, like fire rather than electricity. It moved closer, then stopped. "We know you're there, Detective." The voice echoed through the tunnel, distorted by the acoustics until she couldn't pinpoint its source. Herrera. His accent carried the soft lilt of Seville beneath the London vowels he'd adopted. Quinn stayed silent. Her hand drifted to the holstered weapon at her hip. "You're a long way from your jurisdiction. The Met doesn't patrol these tunnels." A pause. "They don't even know these tunnels exist." She heard movement behind her and spun. Nothing. When she turned back, the orange light had moved. It was closer now, and she could make out a figure holding what looked like a lantern, though the flame inside burned without flickering, steady as an electric bulb. Herrera stood twenty feet away, his dark hair plastered to his forehead, his jacket soaked through. He looked calmer than any man should look while being pursued by an armed detective through unfamiliar territory. "You've been following me for three weeks," he said. "I thought tonight might be the night you finally made your move." "Hands where I can see them." He raised his hands slowly. The lantern dangled from his left hand, casting strange shadows across his olive skin. The scar on his forearm stood out in the orange glow, a pale ridge against darker skin. "You're not going to shoot me, Detective Quinn. Not down here." He gestured at the walls, the ceiling, the darkness beyond. "You have questions. About the Wilcox case. About your partner." Her grip on the weapon tightened. "How do you know about Morris?" "I know a lot of things. It's part of the job." He lowered his hands. "Come with me. I'll show you something. Then you can decide if you want to keep following me or if you'd rather forget this night ever happened." "I'm not going anywhere with you." "Then stay here. In the dark. In the cold." He turned and began walking away, the lantern swinging gently at his side. "But you followed me this far for a reason. Something happened to DS Morris that you can't explain. Something that doesn't fit into any report you've ever filed. I can help you understand it." Quinn watched him go. The orange light grew smaller in the distance. Her training said to call for backup, to secure the scene, to do this by the book. But the book had failed her three years ago. The book had left her with a dead partner and questions that kept her awake at 3 AM, staring at the ceiling and wondering if she was losing her mind. She could turn back. Climb the ladder, return to the street, pretend this tunnel didn't exist. File a report about losing a suspect in an alley. Go back to her desk and her cold coffee and her growing certainty that something was deeply, fundamentally wrong with the world she thought she knew. Or she could follow the man with the Saint Christopher medallion into the darkness and see what waited at the other end. The lantern light was nearly gone now, just a flicker in the distance. Quinn moved forward.
created_at"2026-02-19T12:41:28.69Z" 2/19/2026, 12:41:28 PM
model"z-ai/glm-5-20260211"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency7732
moderation_latency(null)
generation_time100748
tokens_prompt1140
tokens_completion2101
native_tokens_prompt990
native_tokens_completion1741
native_tokens_completion_images(null)
native_tokens_reasoning441
native_tokens_cached448
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"
usage0.0062028
router(null)
provider_responses
0
endpoint_id"85146950-32c1-410b-9b81-4467d938fd16"
id"2026021920412948db8fe06f544668"
is_byokfalse
latency7732
model_permaslug"z-ai/glm-5-20260211"
provider_name"Z.AI"
status200
api_type"completions"
id"gen-1771504888-sMiUkXVFVMu28MoBCjqL"
upstream_id"2026021920412948db8fe06f544668"
total_cost0.0062028
cache_discount0.0003584
upstream_inference_cost0
provider_name"Z.AI"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags4
adverbTagCount0
adverbTags(empty)
dialogueSentences14
tagDensity0.286
leniency0.571
rawRatio0
effectiveRatio0
90.83% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1091
totalAiIsmAdverbs2
found
0
adverb"slowly"
count1
1
adverb"gently"
count1
highlights
0"slowly"
1"gently"
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)
54.17% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1091
totalAiIsms10
found
0
word"glint"
count1
1
word"echoed"
count2
2
word"echo"
count1
3
word"footsteps"
count1
4
word"flickered"
count1
5
word"wavering"
count1
6
word"lilt"
count1
7
word"electric"
count1
8
word"flicker"
count1
highlights
0"glint"
1"echoed"
2"echo"
3"footsteps"
4"flickered"
5"wavering"
6"lilt"
7"electric"
8"flicker"
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
narrationSentences94
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences94
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences103
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen34
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1091
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions18
wordCount927
uniqueNames9
maxNameDensity0.54
worstName"Quinn"
maxWindowNameDensity1
worstWindowName"Quinn"
discoveredNames
London2
Quinn5
November1
Saint2
Christopher2
Herrera3
Underground1
Tube1
Seville1
persons
0"Quinn"
1"Saint"
2"Christopher"
3"Herrera"
4"Underground"
places
0"London"
1"Seville"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences59
glossingSentenceCount1
matches
0"looked like a lantern, though the flame i"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1091
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences103
matches
0"knew that medallion"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs35
mean31.17
std20.24
cv0.649
sampleLengths
062
126
264
337
451
56
654
755
812
924
1012
1159
1260
134
1428
1518
165
1731
1813
1922
2046
2134
2221
236
2436
2531
2612
2742
286
2956
3068
3152
3222
3313
343
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences94
matches
0"being pursued"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs162
matches
0"was losing"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount0
flaggedSentences1
totalSentences103
ratio0.01
matches
0"Morris had waited, three years ago, and by the time backup arrived—"
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount927
adjectiveStacks0
stackExamples(empty)
adverbCount32
adverbRatio0.034519956850053934
lyAdverbCount8
lyAdverbRatio0.008629989212513484
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences103
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences103
mean10.59
std7.65
cv0.722
sampleLengths
018
125
219
33
43
520
611
723
810
920
104
112
129
1322
149
1518
163
171
1820
196
202
218
2213
2312
245
257
265
272
289
2911
3011
3112
3212
335
347
356
363
373
3812
3912
4010
415
422
431
441
4521
462
4717
485
4926
71.20% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.4563106796116505
totalSentences103
uniqueOpeners47
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences80
matches(empty)
ratio0
70.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount30
totalSentences80
matches
0"She pushed harder."
1"Her legs burned."
2"She knew that medallion."
3"Her hand found the wall"
4"She looked up."
5"She swept her torch beam"
6"She knelt, examining the grooves."
7"She grabbed the grate with"
8"It resisted, then gave with"
9"Her torch beam couldn't find"
10"Her radio crackled at her"
11"She ignored it."
12"She pushed the thought aside"
13"She counted as she descended."
14"Her foot found solid ground."
15"She killed the torch and"
16"Her breathing sounded too loud,"
17"It moved closer, then stopped."
18"His accent carried the soft"
19"Her hand drifted to the"
ratio0.375
53.75% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount65
totalSentences80
matches
0"Harlow Quinn's boots slapped against"
1"She pushed harder."
2"Her legs burned."
3"The alley narrowed between brick"
4"The figure was already at"
5"The distinctive glint of a"
6"She knew that medallion."
7"The paramedic who'd lost his"
8"The one who kept turning"
9"Her hand found the wall"
10"The service road behind the"
11"She looked up."
12"The rain drove into her"
13"A clang echoed from below"
14"She swept her torch beam"
15"A rusted grate sat flush"
16"She knelt, examining the grooves."
17"The scratches were too clean,"
18"Someone had forced this recently."
19"She grabbed the grate with"
ratio0.813
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences80
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences40
technicalSentenceCount0
matches(empty)
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags4
uselessAdditionCount2
matches
0"He gestured, the ceiling, the darkness beyond"
1"He turned, the lantern swinging gently at his side"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences14
tagDensity0.071
leniency0.143
rawRatio0
effectiveRatio0
84.6651%