Run: 2026-09-02-01M1H58E6CM78VN0AH05FQ9K0T

Run Details

Duration:
47.1s
Cost:
$0.000442
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 Soho into a smear of neon and wet asphalt. Detective Harlow Quinn kept her stride even as the figure ahead of her vaulted a recycling bin and cut down a narrow alley between a shuttered kebab shop and a betting office. "Police! Stop!" The man didn't stop. Of course he didn't. Three years on the job had taught her that nobody ever stopped, not really. They just made you work for it. She followed him into the alley, boots splashing through puddles that reflected the sickly green glow of a sign above a door at the far end. The Raven's Nest. She'd seen that name twice already this month, once in a witness statement and once scrawled in the margin of an evidence log that had since gone missing from central records. The figure shoved through the door. Quinn hit it three seconds later, shoulder first, into a dimly lit bar smelling of beer and old wood. The place was half-full and dead quiet. A dozen faces turned toward her, and every one of them wore the expression of someone who'd seen this exact scene before. Bartender. Tall, olive skin, a scar she could see even from the door running down his left forearm. He didn't flinch. Just set down the glass he was polishing. "Back room," he said. "Through the bookshelf. You'll want to hurry." She stared at him. "You're welcome." He went back to his glass. Quinn crossed the bar in four long strides, past the old maps and black-and-white photographs on the walls—she catalogued them in a flash, London streets that looked wrong, angles that didn't match—and grabbed the edge of the bookshelf. Solid. She pulled harder. It swung inward on oiled hinges, revealing a narrow staircase descending into darkness. Her phone buzzed. Dispatch, asking for her twenty. She silenced it. Eighteen years, decorated service, a commendation from the Assistant Commissioner himself. And here she was, about to descend a secret staircase in the back of a Soho bar because a suspect she'd been tailing for two weeks on a human trafficking case had just run into a place that shouldn't exist. "Morris would've loved this," she muttered, and started down. The stairs went further than the building had depth. She counted forty steps before the walls changed from brick to something older, wetter, carved. The air grew cold and tasted of iron and river water. At the bottom, a tunnel stretched ahead, lit at intervals by oil lamps that burned with a flame the wrong color—orange at the base, violet at the tips. At the tunnel's end, a checkpoint. Two figures in long coats flanked a wooden booth, and behind the booth sat an old woman with milky eyes. "Token," one of the figures said. Quinn flashed her warrant card. The old woman laughed. It was a dry sound, like paper crumpling. "Met plastic doesn't spend down here, Detective. You need bone. You need an invitation. You need—" "I need the man who just came through here. Six foot, dark coat, limping on the left leg." The old woman's head tilted. "You see more than most of your kind, coming down those stairs uninvited. Most turn back at the forty-second step. You didn't even hesitate." "I hesitated at thirty-nine. Let me through." "The Market moves every full moon. It's beneath Camden tonight, three stops on the dead line. You can buy passage for a memory—something small, something warm. Or you can go back to your rain and your neon and your case files that keep disappearing from your evidence lockers." That landed. Quinn's jaw tightened. The missing log. The vanished witness. Morris, three years ago, and the case file that had been scrubbed so clean it was like DS Elena Morris had never existed at all. "What kind of memory?" she asked. "Something you'd miss. First kiss. Your mother's voice. The way your partner used to hum when she filled out paperwork." Quinn went very still. "You know about Morris." "I know about everyone who walks those forty steps. The stairs taste you on the way down." The old woman extended a hand, palm up, gnarled fingers splayed. "Or. You can keep everything. And spend nothing. And stand at this booth until your warrant card expires and your knees give out, and he gets away, and the next girl goes missing, and the one after that." The tunnel lamp behind Quinn guttered. The two guards hadn't moved, but their coats hung heavy, and she could see the shapes of things under the fabric that didn't look like batons. She thought of Morris humming. She thought of the empty chair across from her desk that she'd never let anyone reassign. "How do I know you'll only take what you say?" "You don't." The old woman smiled with too many teeth. "That's the price of unfamiliar territory, Detective Quinn. Everyone pays it eventually. Most just don't know when." Rain dripped somewhere above, through grates, through the city's cracked skin. Quinn could still go back. Log the bar, get a warrant, do it by the book. By the book had gotten her three years of nothing and a dead partner and an evidence locker full of holes. She unpinned the small enamel badge from her coat lining—Morris's badge, the one she'd carried since the funeral, warm from her body heat—and held it out. "This. It's not a memory, but it's mine, and you'll want it. It belonged to a police officer who saw something she shouldn't have, three years ago, down here. Maybe you already have it in your records. Maybe you'll know what she saw." The old woman's milky eyes went wide, then soft. "Well now." Her fingers closed around the badge. "Elena's girl. She said someone would come. Not this soon, but someone." She reached beneath the booth and produced a token, white and porous, carved with a spiral. "Bone for bone, dear. The dead line leaves from platform two. Your man bought passage with a name, not a memory—cheaper, but the Market remembers names, and it will give him up for the right price. Ask for Petra at the salt stall. Tell her Harlow's coming." Quinn took the token. It was cold, colder than the tunnel air, and it pulsed faintly against her palm like a second heartbeat. "How do you know my name?" "Everyone who walks the forty steps gets tasted, Detective. I told you." The old woman leaned back in her booth. "Your turn now. Mind the gap." The guards stepped aside. Beyond them, the tunnel opened into a vast darkness where an old platform stretched along a dead track, and somewhere in that darkness, a train was coming, its lights the same wrong violet as the lamps. Quinn rolled her shoulders, set her jaw, and walked toward the edge.
created_at"2026-09-02T13:34:41.876Z" 9/2/2026, 1:34:41 PM
model"z-ai/glm-5.3-flash-20260826"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1428
moderation_latency(null)
generation_time47019
tokens_prompt1104
tokens_completion1661
native_tokens_prompt997
native_tokens_completion1468
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached0
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"
service_tier(null)
usage0.000441775
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788356081-tGgfOi5xcvwtVRXwZQtc"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788356081-nLS7GyherMN1zJzazrsw"
upstream_id"20260902213442dc4f8fdd7bfc4424"
provider_responses
0
endpoint_id"8e9fe48b-2f91-41c3-a8a7-e4a93a8c4ff0"
id"20260902213442dc4f8fdd7bfc4424"
is_byokfalse
latency1428
model_permaslug"z-ai/glm-5.3-flash-20260826"
provider_name"Z.AI"
status200
total_cost0.000441775
cache_discount(null)
upstream_inference_cost0
provider_name"Z.AI"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
46.15% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags10
adverbTagCount2
adverbTags
0"Her fingers closed around [around]"
1"The old woman leaned back [back]"
dialogueSentences26
tagDensity0.385
leniency0.769
rawRatio0.2
effectiveRatio0.154
91.30% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1150
totalAiIsmAdverbs2
found
0
adverb"really"
count1
1
adverb"very"
count1
highlights
0"really"
1"very"
80.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found
0"Elena"
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
95.65% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1150
totalAiIsms1
found
0
word"pulsed"
count1
highlights
0"pulsed"
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
narrationSentences68
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences68
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences84
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen49
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1143
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions8
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions24
wordCount772
uniqueNames11
maxNameDensity1.3
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Soho2
Harlow1
Quinn10
Raven1
Nest1
London1
Assistant1
Commissioner1
Elena1
Morris4
Rain1
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Elena"
4"Morris"
5"Rain"
places
0"Soho"
1"London"
2"Assistant"
globalScore0.852
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences41
glossingSentenceCount0
matches(empty)
0.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches3
per1kWords2.625
wordCount1143
matches
0"not a memory, but it's mine"
1"Not this soon, but someone"
2"not a memory—cheaper, but the Market remembers names"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences84
matches
0"seen that name"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs42
mean27.21
std20.29
cv0.745
sampleLengths
048
12
229
360
454
529
611
74
88
955
1011
1151
129
1363
1426
156
165
1712
1816
1918
2029
217
2248
2336
246
2520
268
2766
2832
2921
3010
3127
3248
3326
3443
359
3683
3723
386
3926
4040
4112
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences68
matches
0"been scrubbed"
98.22% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs131
matches
0"was polishing"
1"was coming"
40.82% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount0
flaggedSentences3
totalSentences84
ratio0.036
matches
0"Quinn crossed the bar in four long strides, past the old maps and black-and-white photographs on the walls—she catalogued them in a flash, London streets that looked wrong, angles that didn't match—and grabbed the edge of the bookshelf."
1"At the bottom, a tunnel stretched ahead, lit at intervals by oil lamps that burned with a flame the wrong color—orange at the base, violet at the tips."
2"She unpinned the small enamel badge from her coat lining—Morris's badge, the one she'd carried since the funeral, warm from her body heat—and held it out."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount780
adjectiveStacks0
stackExamples(empty)
adverbCount26
adverbRatio0.03333333333333333
lyAdverbCount4
lyAdverbRatio0.005128205128205128
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences84
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences84
mean13.61
std11.65
cv0.856
sampleLengths
016
132
22
34
44
514
67
726
83
931
106
1119
127
1322
141
1517
163
178
184
197
204
218
2238
231
243
2513
263
275
283
2911
3040
319
329
3315
3411
3528
366
3720
386
395
404
418
4216
4318
445
4524
467
4748
482
493
80.56% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.5119047619047619
totalSentences84
uniqueOpeners43
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences63
matches
0"Of course he didn't."
1"Just set down the glass"
ratio0.032
99.37% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount19
totalSentences63
matches
0"They just made you work"
1"She followed him into the"
2"She'd seen that name twice"
3"He didn't flinch."
4"She stared at him."
5"He went back to his"
6"She pulled harder."
7"It swung inward on oiled"
8"Her phone buzzed."
9"She silenced it."
10"she muttered, and started down"
11"She counted forty steps before"
12"It was a dry sound,"
13"She thought of Morris humming."
14"She thought of the empty"
15"She unpinned the small enamel"
16"Her fingers closed around the"
17"She reached beneath the booth"
18"It was cold, colder than"
ratio0.302
71.11% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount49
totalSentences63
matches
0"The rain came down in"
1"Detective Harlow Quinn kept her"
2"The man didn't stop."
3"They just made you work"
4"She followed him into the"
5"The Raven's Nest."
6"She'd seen that name twice"
7"The figure shoved through the"
8"Quinn hit it three seconds"
9"The place was half-full and"
10"A dozen faces turned toward"
11"He didn't flinch."
12"She stared at him."
13"He went back to his"
14"Quinn crossed the bar in"
15"She pulled harder."
16"It swung inward on oiled"
17"Her phone buzzed."
18"She silenced it."
19"she muttered, and started down"
ratio0.778
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences63
matches(empty)
ratio0
32.97% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences26
technicalSentenceCount4
matches
0"She followed him into the alley, boots splashing through puddles that reflected the sickly green glow of a sign above a door at the far end."
1"Quinn crossed the bar in four long strides, past the old maps and black-and-white photographs on the walls—she catalogued them in a flash, London streets that l…"
2"And here she was, about to descend a secret staircase in the back of a Soho bar because a suspect she'd been tailing for two weeks on a human trafficking case h…"
3"At the bottom, a tunnel stretched ahead, lit at intervals by oil lamps that burned with a flame the wrong color—orange at the base, violet at the tips."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags10
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount1
fancyTags
0"she muttered (mutter)"
dialogueSentences26
tagDensity0.154
leniency0.308
rawRatio0.25
effectiveRatio0.077
83.9826%