Run: 2026-03-15-01KKS3689FFWVKXDMD3ADFRYYB

Run Details

Duration:
24.7s
Cost:
$0.005440
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 Old Compton Street into a river of reflected neon. Harlow Quinn sprinted through it, her leather shoes splashing through puddles that had long since soaked through her trousers. Fifty metres ahead, the figure in the dark hoodie cut left down a narrow alley, vaulting a stack of empty crates like they were nothing. She pushed harder. Her lungs burned. Eighteen years on the force and she still hated chasing runners through Soho. The area was a maze of alleys and hidden passages, a rabbit warren designed for people who didn't want to be found. The suspect glanced back. Young male, olive skin, dark curls plastered to his forehead. She'd seen that face before. The Saint Christopher medallion had caught the streetlight when he'd bolted from the café. "Stop! Metropolitan Police!" He didn't stop. Of course he didn't. They never stopped. The alley opened onto a service road behind the restaurants. Dumpsters overflowed with the day's waste. The smell of rotting food and grease cut through the rain. Her suspect grabbed the edge of a dumpster and swung himself up, scrambling over it and dropping down the other side. Quinn rounded the dumpster and nearly lost her footing on the slick concrete. She recovered, her hand catching the metal edge, the cold biting into her palm. Ahead, the suspect had reached a chain-link fence. He was through it before she could close the distance, the hole in the mesh barely wide enough for a child. She eyed the gap. Her shoulder would fit. Barely. The fence rattled as she forced herself through, the chain links catching on her jacket, tearing the fabric. She didn't stop to assess the damage. The suspect was already disappearing down a slope, heading toward what looked like a boarded-up entrance to an old Tube station. Camden. They'd come full circle from where she'd first spotted him outside the Raven's Nest, across half of central London, and now they were back in Camden. The man knew these streets better than she did. That much was obvious. The boarded entrance had been pried open. One of the planks hung loose, swinging in the wind. She paused at the top of the slope, her chest heaving, rain streaming down her face and dripping from her jaw. The worn leather watch on her wrist showed quarter past eleven. She touched the radio at her shoulder. "Control, this is Detective Quinn, badge number seven-seven-four-one. I'm in pursuit of a suspect heading into what appears to be an abandoned Tube station near Camden High Street. Requesting backup." Static crackled. "Control, do you copy?" More static. Then a burst of garbled speech that might have been words but could just as easily have been interference. The thick concrete walls of the old station would block the signal. She knew that even as she said it. The darkness below swallowed the last glimpse of the suspect's hoodie. She could wait for backup. Stand here in the rain, guard the entrance, hope that whoever this was wouldn't find another way out. By the time anyone arrived, he'd be long gone. That medallion, the way he'd been sitting with that group at the back of the Raven's Nest, the nervous glances toward the bookshelf—she'd been watching them for weeks. This was her chance to get answers. About the clique. About what they were really doing in Silas's back room. About what had happened to Morris three years ago in that warehouse, the one where the bodies had been found arranged in patterns that made no sense, where the forensic reports had been quietly buried and she'd been told to let it go. She hadn't let it go. Quinn pulled her torch from her belt and clicked it on. The beam cut through the rain, illuminating the rough-hewn walls of the slope leading down. Wooden sleepers lined the path, slick with moisture and moss. The air rising from below carried something else beneath the must and damp—incense, maybe, or something sweeter. Chemical. She started down. The slope levelled out onto an old platform. The tunnel stretched in both directions, but drag marks in the dust on the tiles pointed left. She followed them, her torch bouncing off curved walls that still bore the faded remains of advertisements from decades past. A woman smiling over a brand of soap. A travel poster for somewhere sunny. The sound reached her before the light did. Voices. Dozens of them, layered over each other in a marketplace hum. The tunnel curved, and the orange glow of lanterns spilled around the bend. Quinn slowed her pace, pressing her back against the curved wall. She edged forward until she could see around the corner. The station had been transformed. Stalls lined the platform, makeshift structures of wood and fabric and salvaged metal. Candles and lanterns threw shifting shadows across the walls. People moved between the stalls—some human, some... not. A figure with skin that shimmered like oil on water examined something in a glass vial. Something with too many limbs folded itself into a space between two stalls. A woman in Victorian dress haggled with a man whose face kept shifting, features sliding like wet clay. The Veil Market. She'd heard whispers about it, fragments from informants who would say no more once they realised what they were revealing. An underground market for things that shouldn't exist. For things that operated outside the law—outside any law she understood. Her suspect stood at one of the stalls near the far end, speaking to a hooded figure behind a table covered in small bones. He pulled something from his pocket—a token, white and curved—and held it up. The hooded figure nodded and gestured toward a passage behind the stall. The suspect disappeared into the passage. Quinn's grip tightened on her torch. She had no token. No way of knowing what that passage led to, or what would happen if she walked into that market without whatever currency these people used. She was a police detective in a place that existed in the shadows between the cracks of the city she'd spent her career protecting. A man at the nearest stall turned his head. His eyes were solid black, no white at all, and they fixed on her position at the tunnel's edge.
created_at"2026-03-15T15:52:43.065Z" 3/15/2026, 3:52:43 PM
model"z-ai/glm-5-turbo-20260315"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1252
moderation_latency(null)
generation_time24595
tokens_prompt1140
tokens_completion1984
native_tokens_prompt990
native_tokens_completion1640
native_tokens_completion_images(null)
native_tokens_reasoning338
native_tokens_cached988
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"
usage0.005439616
router(null)
provider_responses
0
endpoint_id"9ce3b132-3a17-4fea-8092-0e8e519ed32b"
id"20260315235243f7a2bc2983324547"
is_byokfalse
latency1252
model_permaslug"z-ai/glm-5-turbo-20260315"
provider_name"Z.AI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1773589963-lbIPbavgoJHcYi4q8LvY"
upstream_id"20260315235243f7a2bc2983324547"
total_cost0.005439616
cache_discount0.00094848
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
totalTags0
95.28% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1060
totalAiIsmAdverbs1
found
0
adverb"really"
count1
highlights
0"really"
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)
90.57% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1060
totalAiIsms2
found
0
word"streaming"
count1
1
word"shimmered"
count1
highlights
0"streaming"
1"shimmered"
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
narrationSentences91
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences91
filterMatches
0"watch"
hedgeMatches
0"happened to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences94
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen43
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1054
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions24
wordCount1017
uniqueNames17
maxNameDensity0.49
worstName"Quinn"
maxWindowNameDensity1
worstWindowName"Quinn"
discoveredNames
Old1
Compton1
Street1
Quinn5
Soho1
Saint1
Christopher1
Tube1
Raven2
Nest2
London1
Camden2
Silas1
Morris1
Victorian1
Veil1
Market1
persons
0"Quinn"
1"Saint"
2"Christopher"
3"Raven"
4"Silas"
5"Morris"
places
0"Old"
1"Compton"
2"Street"
3"Soho"
4"London"
5"Camden"
6"Victorian"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences67
glossingSentenceCount1
matches
0"looked like a boarded-up entrance to an o"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1054
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences94
matches
0"seen that face"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs29
mean36.34
std23.13
cv0.636
sampleLengths
060
141
233
33
410
548
656
79
846
940
1056
1130
122
134
1441
1578
1656
175
1854
193
2059
2133
2221
2382
2442
2549
266
2759
2828
93.70% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences91
matches
0"been pried"
1"been found"
2"been told"
3"been transformed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs169
matches
0"was already disappearing"
1"were really doing"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount6
semicolonCount0
flaggedSentences5
totalSentences94
ratio0.053
matches
0"That medallion, the way he'd been sitting with that group at the back of the Raven's Nest, the nervous glances toward the bookshelf—she'd been watching them for weeks."
1"The air rising from below carried something else beneath the must and damp—incense, maybe, or something sweeter."
2"People moved between the stalls—some human, some..."
3"For things that operated outside the law—outside any law she understood."
4"He pulled something from his pocket—a token, white and curved—and held it up."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1026
adjectiveStacks0
stackExamples(empty)
adverbCount26
adverbRatio0.025341130604288498
lyAdverbCount6
lyAdverbRatio0.005847953216374269
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences94
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences94
mean11.21
std7.82
cv0.697
sampleLengths
016
119
225
33
43
513
622
74
810
95
1014
113
123
134
143
1510
166
1711
1821
1913
2014
218
2221
234
244
251
2618
277
2821
291
3026
319
324
337
3410
3521
3611
377
3830
392
404
412
4219
4312
448
4511
465
4718
489
4928
66.31% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.43617021276595747
totalSentences94
uniqueOpeners41
79.37% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences84
matches
0"Of course he didn't."
1"Then a burst of garbled"
ratio0.024
96.19% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount26
totalSentences84
matches
0"She pushed harder."
1"Her lungs burned."
2"She'd seen that face before."
3"He didn't stop."
4"They never stopped."
5"Her suspect grabbed the edge"
6"She recovered, her hand catching"
7"He was through it before"
8"She eyed the gap."
9"Her shoulder would fit."
10"She didn't stop to assess"
11"They'd come full circle from"
12"She paused at the top"
13"She touched the radio at"
14"She knew that even as"
15"She could wait for backup."
16"She hadn't let it go."
17"She started down."
18"She followed them, her torch"
19"She edged forward until she"
ratio0.31
55.24% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount68
totalSentences84
matches
0"Harlow Quinn sprinted through it,"
1"She pushed harder."
2"Her lungs burned."
3"The area was a maze"
4"The suspect glanced back."
5"She'd seen that face before."
6"The Saint Christopher medallion had"
7"He didn't stop."
8"They never stopped."
9"The alley opened onto a"
10"Dumpsters overflowed with the day's"
11"The smell of rotting food"
12"Her suspect grabbed the edge"
13"Quinn rounded the dumpster and"
14"She recovered, her hand catching"
15"He was through it before"
16"She eyed the gap."
17"Her shoulder would fit."
18"The fence rattled as she"
19"She didn't stop to assess"
ratio0.81
59.52% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences84
matches
0"By the time anyone arrived,"
ratio0.012
68.45% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences48
technicalSentenceCount5
matches
0"Harlow Quinn sprinted through it, her leather shoes splashing through puddles that had long since soaked through her trousers."
1"The fence rattled as she forced herself through, the chain links catching on her jacket, tearing the fabric."
2"She paused at the top of the slope, her chest heaving, rain streaming down her face and dripping from her jaw."
3"A figure with skin that shimmered like oil on water examined something in a glass vial."
4"She'd heard whispers about it, fragments from informants who would say no more once they realised what they were revealing."
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
90.1542%