Run: 2026-09-02-01M1GTCHS80P9T7SREZBKBEN60

Run Details

Duration:
5m 44s
Cost:
$0.002736
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 had worked over Soho for six straight hours, and the green neon above the Raven's Nest bled down the window glass in ropes of colour. Quinn sat across the street in a dead café, a coffee gone cold between her palms, watching the door. Three hours of it. Patience was the only part of the job she had never learned to hate. At half past midnight, the bar swung open and Tomás Herrera stepped into the rain. Dark curls flattened to his skull. A leather bag rode his shoulder the way a surgeon carries kit, and a small medallion shifted at the base of his throat as he walked. He checked the street left, checked it right, then checked it above — fire escapes, rooflines. Somebody had trained him. Or something had. He crossed Brewer Street and cut north, hood up. Quinn gave him twenty seconds, then followed, collar turned against the wet. At the corner of Wardour Street he stopped under the shutter of a noodle bar, glanced back along the pavement, and found her reflection in the black glass. She watched him see it. For one breath they stood still while the rain came down between them. Then he ran. "Police! Herrera — stop!" He put his head down and took the alley behind the Chinese supermarket at a dead sprint. A cab swerved past the alley mouth, horn blaring, and he cleared its boot in one clean arc. Quinn jinked around the tail and kept him in sight, torch slapping against her hip. She closed the gap at the next corner and got a fist on his bag strap. He twisted out of it without losing a step, sleeve riding up — the old knife scar down his forearm, pale even under the streetlight. "Who's dying tonight, Herrera? Who needs a medic at midnight?" "Someone your lot can't help." Over his shoulder, breath ragged, accent thickening. "Go home, detective. You're kicking at a door you do not want opened." "You were at the canal the night Morris died!" He stumbled. Half a stride, no more. That half stride told her more than eighteen months of file work. "Then keep up," he threw back, and turned north. They ran the drowned spine of the city — Charing Cross Road, Tottenham Court Road, buses hissing through standing water — until the shopfronts gave way to shutters and the shutters gave way to Camden High Street, where the market stalls stood dead under plastic sheeting and the neon animals glowed for nobody. Kebab smoke. Rain. His curls had gone flat and black as spilled ink. He turned into a side road and stopped at a station front she knew from the files. South Kentish Town. Dead since the twenties. A section of hoarding swung on a hinge someone had cut, and Herrera slipped through the gap like water through a fence. Quinn drew her torch and went in after him. Inside smelled of wet stone and rust and something older underneath, sweet and turned, like soil in a cellar. His footfalls doubled down ahead of her. She tracked them in bursts of light — a ticket hall with booths furred in grime, posters bleached to white bones, a lift shaft that swallowed the beam whole. Then an emergency stair between platforms, and with every step down the sound grew: bass through stone, hammering, the murmur of a crowd big enough to fill a stadium. At platform level, where the tunnel should have gaped black, a steel door sat flush in the tiles. Beside it, a brazier. Beside the brazier, a man built like a door himself, joints sitting wrong, skin the colour of pond water. Herrera lifted a cord over his head. A small token hung from it, yellow-white, carved smooth, and he dropped it into the big man's palm. The big man turned the token in the brazier light, bit it, grunted. The door swung open on lamplight and noise and a wall of warm air — incense, hot metal, orange peel, and underneath it all, faint, blood. Herrera stopped on the threshold and looked back at her. Rain ran off her jaw and ticked onto the platform. "Detective." He touched the medallion at his throat, copper worn to a shine. Saint Christopher, patron of travellers. "I owe you nothing, so take the advice free. Turn around." "Three witnesses put you at the water the night DS Morris went in. Give me a statement and I'll keep you breathing." "To whom? Your station?" A short laugh. "You don't even know what you're standing in." "Then tell me." "The Market decides who talks." He stepped backwards over the threshold into the light. "Morris—" His jaw worked. "Ask the Nest about Morris. Silas pours the truth cheap on Thursdays." The door crashed shut. A bar dropped on the far side. Quinn stood on the dead platform, rain at her back, torch beam on the steel. The crowd noise pulsed through the tiles like something with a heartbeat. Her radio crackled. "Sierra Romeo One, status." She keyed it. "Quinn. Still on the Nest. All quiet." A lie, flat and clean. She rolled the volume to zero. Eighteen years. Procedure said wait. Procedure said apply for a warrant on a door that would not exist by the time the paperwork cleared, for a market that would move with the next full moon to a hole nobody could find twice. Procedure said let him go. Morris said nothing. Morris had been saying nothing for three years. Footsteps on the emergency stair. A thin man in a soaked overcoat came down humming, a paper parcel hugged to his chest, counting under his breath — "rue, three vials of river-glass, don't haggle with the moth-seller" — and stopped dead when the torch caught him. Quinn held up her warrant card. "Metropolitan Police. The token. Hand it over." "You can't — it's not — they'll know. Bone remembers whose hand carries it—" "Then it'll learn a new hand." She held out her palm. "Or I arrest you now and you explain your shopping list to a custody sergeant." He set a token in her hand, small and yellow-white, and warm. No token had any business being warm. He was gone up the stairs two at a time, humming gone, parcel clutched like a shield. The big man watched all of it without moving. His eyes were the yellow of old piano keys. "That token belongs to a man with a list." "His plans changed." "The door will taste the difference. It will spit you into whatever keeps the space between walls." "I've worked worse odds in worse places." "There is no police in there." He nodded at her warrant card, at the weight under her armpit. "That badge is scrap metal past this door. That gun is a club. People leave the Market when the Market is finished with them. Not because they changed their minds." Quinn looked at the steel. Behind it the bass walked on and on, warmth breathing through the seam, and on the other side of it was Herrera, and so was the truth about a night by a canal that had closed over her partner and never given him back. She crossed the platform and held the token out over the brazier. "It's warm," she said. "Tell the door." The big man took it, bit it, and studied her for a long moment with those piano-key eyes. Then he lifted the bar. The door opened on lamplight and noise and the smell of blood and oranges. Herrera was in there. Morris was in there, or the reason Morris wasn't anywhere. Quinn left the rain at her back.
created_at"2026-09-02T10:24:42.29Z" 9/2/2026, 10:24:42 AM
model"z-ai/glm-5.3-flash-20260826"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency5749
moderation_latency(null)
generation_time343555
tokens_prompt1104
tokens_completion11699
native_tokens_prompt997
native_tokens_completion10644
native_tokens_completion_images(null)
native_tokens_reasoning9021
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)
usage0.002735775
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788344682-MJsREnZ0WbnlBWE61INd"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788344682-c9DnKWJYiaeOlLSeXgoB"
upstream_id"20260902182442fd38f1ad9c524458"
provider_responses
0
endpoint_id"8e9fe48b-2f91-41c3-a8a7-e4a93a8c4ff0"
id"20260902182442fd38f1ad9c524458"
is_byokfalse
latency5749
model_permaslug"z-ai/glm-5.3-flash-20260826"
provider_name"Z.AI"
status200
total_cost0.002735775
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
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags9
adverbTagCount0
adverbTags(empty)
dialogueSentences30
tagDensity0.3
leniency0.6
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1275
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)
84.31% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1275
totalAiIsms4
found
0
word"pulsed"
count1
1
word"footsteps"
count1
2
word"weight"
count1
3
word"warmth"
count1
highlights
0"pulsed"
1"footsteps"
2"weight"
3"warmth"
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
narrationSentences87
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences87
filterMatches
0"see"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences107
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen51
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1286
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
totalMentions46
wordCount1034
uniqueNames24
maxNameDensity0.77
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Soho1
Raven1
Nest1
Tomás1
Herrera6
Brewer1
Street3
Wardour1
Chinese1
Charing1
Cross1
Road2
Tottenham1
Court1
Camden1
High1
Kentish1
Town1
Saint1
Christopher1
Quinn8
Morris4
Rain3
Procedure3
persons
0"Raven"
1"Nest"
2"Tomás"
3"Herrera"
4"Saint"
5"Christopher"
6"Quinn"
7"Morris"
8"Rain"
9"Procedure"
places
0"Soho"
1"Brewer"
2"Street"
3"Wardour"
4"Charing"
5"Cross"
6"Road"
7"Tottenham"
8"Court"
9"Camden"
10"High"
11"Kentish"
12"Town"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences58
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1286
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences107
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs54
mean23.81
std18.05
cv0.758
sampleLengths
026
137
215
355
49
512
646
73
84
950
1041
1110
1225
139
1419
159
1666
1746
189
1984
2041
2125
2239
2320
2429
2522
2615
273
2830
2911
3027
317
3210
3311
3447
3511
3646
376
387
3914
4026
4136
4218
439
443
4517
467
4748
4849
4912
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences87
matches
0"was gone"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs154
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount7
semicolonCount0
flaggedSentences6
totalSentences107
ratio0.056
matches
0"He checked the street left, checked it right, then checked it above — fire escapes, rooflines."
1"He twisted out of it without losing a step, sleeve riding up — the old knife scar down his forearm, pale even under the streetlight."
2"They ran the drowned spine of the city — Charing Cross Road, Tottenham Court Road, buses hissing through standing water — until the shopfronts gave way to shutters and the shutters gave way to Camden High Street, where the market stalls stood dead under plastic sheeting and the neon animals glowed for nobody."
3"She tracked them in bursts of light — a ticket hall with booths furred in grime, posters bleached to white bones, a lift shaft that swallowed the beam whole."
4"The door swung open on lamplight and noise and a wall of warm air — incense, hot metal, orange peel, and underneath it all, faint, blood."
5"A thin man in a soaked overcoat came down humming, a paper parcel hugged to his chest, counting under his breath — \"rue, three vials of river-glass, don't haggle with the moth-seller\" — and stopped dead when the torch caught him."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1030
adjectiveStacks0
stackExamples(empty)
adverbCount17
adverbRatio0.01650485436893204
lyAdverbCount2
lyAdverbRatio0.001941747572815534
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences107
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences107
mean12.02
std9.43
cv0.785
sampleLengths
026
119
24
314
415
56
626
716
84
93
109
1112
1228
135
1413
153
164
1717
1818
1915
2016
2125
2210
2312
2413
259
262
275
2812
299
3053
312
321
3310
3417
353
364
3722
389
3919
407
4129
4229
4318
444
4519
467
4718
4813
4926
66.98% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.42990654205607476
totalSentences107
uniqueOpeners46
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences82
matches
0"Then he ran."
1"Then an emergency stair between"
2"Then he lifted the bar."
ratio0.037
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount24
totalSentences82
matches
0"He checked the street left,"
1"He crossed Brewer Street and"
2"She watched him see it."
3"He put his head down"
4"She closed the gap at"
5"He twisted out of it"
6"he threw back, and turned"
7"They ran the drowned spine"
8"His curls had gone flat"
9"He turned into a side"
10"His footfalls doubled down ahead"
11"She tracked them in bursts"
12"He touched the medallion at"
13"He stepped backwards over the"
14"His jaw worked"
15"Her radio crackled."
16"She keyed it."
17"She rolled the volume to"
18"She held out her palm"
19"He set a token in"
ratio0.293
69.76% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount64
totalSentences82
matches
0"Rain had worked over Soho"
1"Quinn sat across the street"
2"Patience was the only part"
3"A leather bag rode his"
4"He checked the street left,"
5"Somebody had trained him."
6"He crossed Brewer Street and"
7"Quinn gave him twenty seconds,"
8"She watched him see it."
9"He put his head down"
10"A cab swerved past the"
11"Quinn jinked around the tail"
12"She closed the gap at"
13"He twisted out of it"
14"That half stride told her"
15"he threw back, and turned"
16"They ran the drowned spine"
17"His curls had gone flat"
18"He turned into a side"
19"South Kentish Town."
ratio0.78
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences82
matches(empty)
ratio0
87.91% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences39
technicalSentenceCount3
matches
0"She tracked them in bursts of light — a ticket hall with booths furred in grime, posters bleached to white bones, a lift shaft that swallowed the beam whole."
1"Procedure said apply for a warrant on a door that would not exist by the time the paperwork cleared, for a market that would move with the next full moon to a h…"
2"Behind it the bass walked on and on, warmth breathing through the seam, and on the other side of it was Herrera, and so was the truth about a night by a canal t…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags9
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences30
tagDensity0.033
leniency0.067
rawRatio0
effectiveRatio0
90.2987%