Run: 2026-09-02-01M1GRZ6FTBEHGFB4KH29HA47K

Run Details

Duration:
4m 19s
Cost:
$0.001710
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 green neon above the Raven's Nest bled into the flooded gutter, and the rain kept coming like it had a grudge against Soho. Detective Harlow Quinn stood in the doorway of a shuttered kebab shop across the street, two hours into a stakeout, water working through the seams of her coat. Under the sign, the doorman had turned away three drunks and waved through one man in a cashmere coat who walked like he held the lease on the whole street. Cashmere went on her list. Everyone went on her list tonight. At half past midnight, the fire door in the alley swung and Tomás Herrera slipped out with a blue medical bag hugged to his ribs. She keyed her radio. "Control, Quinn. My bird's out of the Nest, westbound on foot. Gray hoodie, blue bag. I'm taking him." She crossed the street at a walk. Then she didn't. "Herrera! Metropolitan Police!" "¡Joder!" He ran. She rounded the alley mouth two strides behind him, boots skidding on a skin of wet cardboard. He shoulder-checked a wheelie bin into her path, and she hurdled it, one palm catching the brick to keep her balance. A cat screamed off a windowsill. Her breath tore out in white rags. "Tommy! Stop!" "You've got the wrong man!" He hurled it over his shoulder, hood flapping. "Then prove it in a warm room with a lawyer in it!" "I treat people. That's all I do!" "People with bullet holes in places bullet holes shouldn't be!" He cut left behind the kitchens of a bistro, through a gauntlet of dripping fire escapes, and out onto Charing Cross Road with the bookshops shuttered and the traffic lights swinging. She keyed her radio between breaths. "Control, foot pursuit north on Charing Cross Road. Suspect's fit. I need someone pacing me." "Quinn, all units are committed to a stabbing on the Elephant. Give us twenty." "Twenty's a funeral. Move it." He took her through Soho Square, past the darkened stall fronts of Berwick Street, up and north while the rain turned from needles to ropes. Twice she closed the gap to arm's length. Twice he threw a turn that shaved a metre off her reach. His curls had gone flat and black against his skull, and when he hauled himself over a spike-topped fence by the coach station, his sleeve tore and the old knife scar on his forearm flashed white under a streetlamp. The Saint Christopher medallion bounced on his chest as he dropped down the far side. She went over the fence after him, palms stinging, coat snagging. "Who are you patching up tonight, Herrera?" "Nobody you'd care about!" He was coughing now, the sprint folding into something uglier. "Try me. I've got all night and a warrant." "You've got nothing. That's the problem." Camden came up out of the rain in neon ribbons and shuttered stalls. He cut off the high street, down a service ramp beside a railway arch, and stopped at a plywood hoarding stencilled DANGER — NETWORK RAIL — NO ACCESS. The board sat ajar on a hinge of rust. Behind it, stairs dropped into the dark, and at the top step sat a folding table under a dead admiral's lamp. A hurricane lamp burned beside it. Behind the table, an old man in a greatcoat knitted something shapeless, a tray of small whittled objects laid out in rows. Tomás pulled a cord from under his collar. A bone token swung on it, yellow and smooth as a milk tooth. "Evening, Keys." "One body through, Herrera?" "Just me." His eyes cut back up the ramp. "For once." Keys unhooked a chain and waved him past. Tomás took one step onto the first stair and turned, rain streaming off his chin. "Go home, detective." She stopped at the edge of the lamplight, lungs raw, hands on her knees. "Not a chance. Step back up here." "So you can staple me to somebody's corpse?" He shook his head. "I'm telling you this as the man you've been chasing for fifteen minutes. Don't follow me. Down there your badge stops at that chain. You're not police past this point. You're a mark with a warrant card." "What's down there, Tomás?" "Where you'll drown, if you're lucky." "Then it's a good thing I'm a strong swimmer." Keys laid his knitting down and stood, and he was taller than the lamplight suggested, with a cataract eye that caught the flame and held it. His palm came out flat. "Token." "I'm police. That man is a suspect in—" "Not my door. Not my market. Token." "Then you're obstructing an officer, and I'll have this whole arch opened with a battering ram by morning." Keys smiled with very few teeth. "Morning's a long way off, and the arch won't be where you left it." Tomás reached into his collar, unknotted the cord, and tossed the bone token through the air. It bounced once on the wet concrete and stopped against the toe of her boot. "You want me, Quinn? Then pay the toll. Leave the cuffs at the table. Come in as nobody, and maybe nobody cuts your throat on sight." "You're doing medical work down there. Off the books. Unlicensed. I can help you—" "You can hang me." His voice dropped, and something under it shook. "You don't understand what you're standing over. Your partner didn't either." The rain filled the silence between them, drumming on the plywood, on the lamp housing, on the folded knit in Keys' hands. "Morris," she said. "Say his name." "Not here." Tomás backed onto the stairs. "Not with them listening. They hear everything under the chain." He went down one step, two, the bag pressed to his ribs like a shield. "Come find me if you've got the nerve. Or go home to your flat and stay a woman who knows one world." Then the dark took him. Keys sat back down. The knitting needles clicked. "Rules," he said. "No steel past my chain. No flame. No names given free. And the token spends once. What comes back up the stairs is on you, and most nights it isn't what went down." "Cheerful." "I'm honest. Down here that's rarer than the other thing." Her radio crackled against her shoulder. "Control to Quinn. Receiving?" Control, twenty minutes out. Backup who would find an empty arch and a plywood board, and a story about a detective who chased a man into a hole in the world and never filed again. Her thumb hovered over the transmit button. She pulled the radio off her shoulder, thumbed it dead, and set it on the folding table next to the hurricane lamp. Then she unclipped her handcuffs, slid them into the tray of bone tokens, and watched them sit there, steel among milk teeth. "Morris," she said to nobody, and picked up the token. Keys lifted the chain. Warm air rose out of the stairwell, thick with tallow smoke and river silt and something sweet underneath, and the sound came up with it — voices in too many languages, a fiddle, a hammer on metal, water dripping somewhere deep. She pulled the token into her fist until the edges bit her palm, put her foot on the first step, and let the dark close over her shoulders.
created_at"2026-09-02T09:59:56.164Z" 9/2/2026, 9:59:56 AM
model"z-ai/glm-5.3-flash-20260826"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2172
moderation_latency(null)
generation_time258715
tokens_prompt1104
tokens_completion7355
native_tokens_prompt997
native_tokens_completion6772
native_tokens_completion_images(null)
native_tokens_reasoning5167
native_tokens_cached960
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)
usage0.001710175
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788343196-vifpBhDlv8Azsc7t0V6d"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788343196-5uoR6nWP1Swrh1myaQ1X"
upstream_id"2026090217595683e237633ea54c4b"
provider_responses
0
endpoint_id"8e9fe48b-2f91-41c3-a8a7-e4a93a8c4ff0"
id"2026090217595683e237633ea54c4b"
is_byokfalse
latency2172
model_permaslug"z-ai/glm-5.3-flash-20260826"
provider_name"Z.AI"
status200
total_cost0.001710175
cache_discount0.0001152
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
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags12
adverbTagCount0
adverbTags(empty)
dialogueSentences46
tagDensity0.261
leniency0.522
rawRatio0
effectiveRatio0
95.89% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1217
totalAiIsmAdverbs1
found
0
adverb"very"
count1
highlights
0"very"
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)
91.78% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1217
totalAiIsms2
found
0
word"streaming"
count1
1
word"silence"
count1
highlights
0"streaming"
1"silence"
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
narrationSentences61
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences61
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences96
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen40
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1220
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions26
wordCount825
uniqueNames17
maxNameDensity0.61
worstName"Tomás"
maxWindowNameDensity2
worstWindowName"Tomás"
discoveredNames
Raven1
Nest1
Soho2
Harlow1
Quinn1
Tomás5
Herrera1
Charing1
Cross1
Road1
Square1
Berwick1
Street1
Saint1
Christopher1
Camden1
Keys5
persons
0"Raven"
1"Nest"
2"Harlow"
3"Quinn"
4"Tomás"
5"Herrera"
6"Square"
7"Saint"
8"Christopher"
9"Camden"
10"Keys"
places
0"Soho"
1"Charing"
2"Cross"
3"Road"
4"Berwick"
5"Street"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences47
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1220
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences96
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs61
mean20
std21.67
cv1.084
sampleLengths
024
169
225
34
418
510
63
73
851
92
1013
1112
127
1310
1437
1515
1614
175
1899
1911
207
2114
229
236
2499
2521
262
274
2811
2923
303
3114
327
3349
344
356
369
3731
381
398
407
4118
4220
4331
4426
4514
4623
4722
486
4954
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences61
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs127
matches
0"was coughing"
83.33% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount3
semicolonCount0
flaggedSentences2
totalSentences96
ratio0.021
matches
0"He cut off the high street, down a service ramp beside a railway arch, and stopped at a plywood hoarding stencilled DANGER — NETWORK RAIL — NO ACCESS."
1"Warm air rose out of the stairwell, thick with tallow smoke and river silt and something sweet underneath, and the sound came up with it — voices in too many languages, a fiddle, a hammer on metal, water dripping somewhere deep."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount684
adjectiveStacks0
stackExamples(empty)
adverbCount9
adverbRatio0.013157894736842105
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences96
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences96
mean12.71
std9.52
cv0.749
sampleLengths
024
128
230
35
46
525
64
718
87
93
103
113
1217
1321
146
157
162
1713
1812
197
2010
2131
226
2315
2414
255
2625
278
2812
2939
3015
3111
327
3314
349
356
3613
3728
389
3921
406
4122
428
4313
442
454
469
472
488
4915
78.82% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.5104166666666666
totalSentences96
uniqueOpeners49
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount5
totalSentences58
matches
0"Then she didn't."
1"Twice she closed the gap"
2"Twice he threw a turn"
3"Then the dark took him."
4"Then she unclipped her handcuffs,"
ratio0.086
47.59% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount25
totalSentences58
matches
0"She keyed her radio."
1"She crossed the street at"
2"She rounded the alley mouth"
3"He shoulder-checked a wheelie bin"
4"Her breath tore out in"
5"He hurled it over his"
6"He cut left behind the"
7"She keyed her radio between"
8"He took her through Soho"
9"His curls had gone flat"
10"She went over the fence"
11"He was coughing now, the"
12"He cut off the high"
13"His eyes cut back up"
14"She stopped at the edge"
15"He shook his head"
16"His palm came out flat."
17"It bounced once on the"
18"His voice dropped, and something"
19"He went down one step,"
ratio0.431
54.83% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount47
totalSentences58
matches
0"The green neon above the"
1"Detective Harlow Quinn stood in"
2"Cashmere went on her list."
3"Everyone went on her list"
4"She keyed her radio."
5"She crossed the street at"
6"She rounded the alley mouth"
7"He shoulder-checked a wheelie bin"
8"A cat screamed off a"
9"Her breath tore out in"
10"He hurled it over his"
11"He cut left behind the"
12"She keyed her radio between"
13"He took her through Soho"
14"His curls had gone flat"
15"The Saint Christopher medallion bounced"
16"She went over the fence"
17"He was coughing now, the"
18"Camden came up out of"
19"He cut off the high"
ratio0.81
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences58
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences27
technicalSentenceCount0
matches(empty)
41.67% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags12
uselessAdditionCount2
matches
0"He hurled, hood flapping"
1"He was coughing now, the sprint folding into something uglier"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount1
fancyTags
0"He was coughing now (be cough)"
dialogueSentences46
tagDensity0.087
leniency0.174
rawRatio0.25
effectiveRatio0.043
89.7969%