Run: 2026-09-02-01M1GTJAWCQ69QJE8KYMK7W478

Run Details

Duration:
7m 30s
Cost:
$0.003400
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 come off the river at dusk and refused to leave, the fine, relentless kind that found the gap at the back of a collar and made itself at home. Detective Harlow Quinn stood in a shuttered doorway across from the Raven's Nest, soaked through her coat to the shirt beneath, and watched the door. Third night on it. Through the glass she could see the walls inside, papered with old maps and photographs of men who'd died before her grandmother was born, and above the entrance the green neon buzzed like something trapped in a jar. At twelve-forty the door swung wide. Tomás Herrera stepped out into the wet with a white cooler box riding his forearms, the kind transplant teams used, chain through the handles, padlock on the latch. Rain flattened his curls. He checked the street both ways with the care of a man crossing a firing range. Quinn crossed the road and had her warrant card up before he took his third step. "Tomás Herrera. Metropolitan Police." He turned. Water crawled down his face. His eyes went from the card to her jaw to the empty street behind her, and she watched him run the arithmetic. "Detective." The word came out round, Seville-soft. "It's late for you." "It's late for the box, too. What are you delivering?" "Medicine." "For who?" "For no one you can help." He shifted his grip. She read it in his shoulders a half-second before it happened, and then he was gone anyway, box clamped to his chest, trainers hammering north up Dean Street. She went after him. "Pick a better crime!" Her voice bounced off shutters. "Handling stolen goods, at minimum!" "It's a transfusion!" "For who?" "You don't want to be carrying it when it opens!" He cut through a gap between a shuttered restaurant and a phone-repair shop, shouldered a wheelie bin into her path, and came out on Oxford Street at a dead sprint. A night bus hissed past close enough to lean on. He threaded the gap between it and a black cab, horns chasing him, spray arcing off the wheels. Quinn gave the cab three feet more respect than he had and tracked him by the jingle of the padlock chain. After that she caught the box with both hands every time they met, and she made sure they met at every corner. Twenty metres of him ahead, no more. The box slowed him. He knew the gaps in the city, though, and he spent them freely. North on Tottenham Court Road, hoardings sliding past orange under the sky-glow. He crossed Euston Road against a red man and a taxi she had to slap the bonnet of. The stitch under her ribs turned to a blade somewhere past Warren Street. She counted her breathing in fours, the way an instructor had drilled into her a lifetime ago, and kept the white box bobbing in her sight. Camden High Street ran loud even at one in the morning, club spill-out and kebab smoke, and Herrera went through the middle of it scattering pedestrians like a dog through pigeons. By the lock he cut down a yard behind a hoarding furred with old council notices. The yard dead-ended at a brick arch: a roundel ghosting under decades of grime, the tiled frame of a station entrance bricked up since the Blitz. The chain that had once sealed it hung cut and coiled at the bottom step. He dragged a plywood panel aside, dropped into the black mouth of the stairs, and was gone. Quinn came down after him with her torch out. She keyed her radio twice. "Control, Quinn. Suspect entering a sealed—" Static, thick as wet wool. Not interference. Absence. She clipped the radio back and kept both hands free. The stairs delivered her to an iron gate older-looking than the tunnel it guarded, set in riveted plates, and warm air leaked around its edges carrying candlewax, wet stone, and beneath that, copper. Herrera had dug a chip of bone from his pocket, finger-length, drilled through one end, worn smooth as a river pebble. He pressed it into a slot where tickets had gone once upon a time. Somewhere behind the bricks, a bolt the size of a bus let go. The gate parted on a slow exhale of warm air. He kissed his thumb and touched it to the Saint Christopher at his throat. "Step away from the gate." She came down the last steps. "Hands where I can see them." "Go home, Detective." He turned, medallion swinging, sleeve ridden up over the knife scar on his forearm. "You don't have a token. They'll know. They always know." "Then they'll know I'm making an arrest. Box on the ground." "They struck you off for unauthorised treatment. Is that what we're calling this?" "I saved people." He backed toward the gap. "This one I'm saving right now. You're holding a dead man's blood, do you understand? You don't want to be standing here at three." She took the last three steps at a jump. He swung the box at her head, took her shoulder into his wrists, and she drove him back against the gate. Cold spilled through her coat where the box pressed, cold with weight to it, cold that found her fillings and ached. He clawed for the latch chain with his free hand. She turned her hip, dumped her weight, and the box went down between them. He let it go. From the dark beyond the gate, a voice like rockfall. "Token." Herrera twisted sideways through the gap. She got two fingers into his collar and he shed the jacket straight out of it, left her holding leather and a chain-link strap, and then he was through and the gate was swinging shut. She jammed her boot in the jamb and the iron took the weight without noticing. Bars closed between her and the dark. His footsteps rang away down some long throat of a tunnel, and he shouted back without slowing. "You can't follow into the Veil Market without—" The gate met its frame and cut his warning in half. The last piece that came through was: "—moves with the moon! Come tomorrow and it's under Hackney! You'll dig for a month and find gravel!" Quinn stood in the dark with a dead radio, a stolen jacket, and a box that breathed cold against her hip. "Token." The voice again, from beyond the bars. A hand came flat against the iron, wide as a dinner plate. "He dropped this." She lifted the box. "The delivery. It's owed, isn't it?" Silence stretched long enough for her to hear her own pulse. "The goods are owed. The carrier is owed." The shape behind the dark moved closer, and her torch lit nothing past the bars. "You are not owed." "I'm the one holding it. Let me carry it in." "The Market decides what passes." The hand withdrew. "Carry the debt, and the door is yours. Refuse, and the door stays closed." Procedure said cordon, wait, call it in. Procedure assumed there was a somewhere to call. She keyed the radio again and got the same wet-wool nothing. Her phone showed no bars, no service. Backup existed somewhere above her, in a city that still had signals. Something shifted inside the box with a sound like heavy liquid, and the cold came up through her ribs. She checked her watch, an old habit for steadying herself, the leather strap dark with rain. Three years ago, a stairwell in Whitechapel. Morris's torch spinning on the concrete, its beam wheeling round and round like it was searching for something. She had walked away from that strangeness, filed it as unexplained, and it had cost her a partner and every quiet night since. Quinn set her boot against the gate. "I'll carry it." The bars swung open without a sound. Warm air rolled over her, candlewax and copper, and from somewhere below came the swell of a crowd, a noise like weather. She picked up the box, held it the way Herrera had, and stepped through into the heat and the noise as the gate breathed shut behind her.
created_at"2026-09-02T10:27:51.829Z" 9/2/2026, 10:27:51 AM
model"z-ai/glm-5.3-flash-20260826"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2420
moderation_latency(null)
generation_time449454
tokens_prompt1104
tokens_completion14846
native_tokens_prompt997
native_tokens_completion13531
native_tokens_completion_images(null)
native_tokens_reasoning11806
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)
usage0.003399925
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788344871-ljzxjEQhPBSKFjwHosy6"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788344871-rvEkqTZrZeURj9lCkBHd"
upstream_id"20260902182751cfa6c44f9f13413a"
provider_responses
0
endpoint_id"8e9fe48b-2f91-41c3-a8a7-e4a93a8c4ff0"
id"20260902182751cfa6c44f9f13413a"
is_byokfalse
latency2420
model_permaslug"z-ai/glm-5.3-flash-20260826"
provider_name"Z.AI"
status200
total_cost0.003399925
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
totalTags9
adverbTagCount0
adverbTags(empty)
dialogueSentences33
tagDensity0.273
leniency0.545
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1371
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)
78.12% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1371
totalAiIsms6
found
0
word"weight"
count3
1
word"footsteps"
count1
2
word"silence"
count1
3
word"pulse"
count1
highlights
0"weight"
1"footsteps"
2"silence"
3"pulse"
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
narrationSentences85
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences85
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences108
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen38
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1370
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions1
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions36
wordCount1173
uniqueNames22
maxNameDensity0.51
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Street"
discoveredNames
Harlow1
Quinn6
Raven1
Nest1
Herrera5
Seville-soft1
Dean1
Street4
Oxford1
Tottenham1
Court1
Road2
Euston1
Warren1
High1
Blitz1
Saint1
Christopher1
Hackney1
Silence1
Procedure2
Whitechapel1
persons
0"Harlow"
1"Quinn"
2"Nest"
3"Herrera"
4"Saint"
5"Christopher"
6"Silence"
7"Procedure"
places
0"Raven"
1"Dean"
2"Street"
3"Oxford"
4"Tottenham"
5"Court"
6"Road"
7"Euston"
8"Warren"
9"High"
10"Whitechapel"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences69
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1370
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences108
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs53
mean25.85
std25.34
cv0.98
sampleLengths
056
142
254
316
44
529
611
710
81
92
106
1132
124
1314
143
152
1610
1779
1846
1969
20105
2114
226
2318
2491
2514
2617
2727
2811
2913
3032
3175
324
3310
341
3580
368
3718
3818
3921
4020
4113
4211
4327
4410
4522
4645
4719
4864
497
97.01% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences85
matches
0"was gone"
1"was gone"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs182
matches
0"was swinging"
1"was searching"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount0
flaggedSentences1
totalSentences108
ratio0.009
matches
0"\"—moves with the moon! Come tomorrow and it's under Hackney! You'll dig for a month and find gravel!\""
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount957
adjectiveStacks0
stackExamples(empty)
adverbCount16
adverbRatio0.01671891327063741
lyAdverbCount1
lyAdverbRatio0.0010449320794148381
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences108
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences108
mean12.69
std8.45
cv0.666
sampleLengths
031
125
24
338
46
528
64
716
816
94
102
115
1222
137
144
1510
161
172
186
194
2028
214
229
235
243
252
2610
2730
2810
2918
3021
3122
327
334
3413
3512
3618
3713
3826
3931
4016
4126
4215
4317
449
455
466
475
482
491
72.22% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.4722222222222222
totalSentences108
uniqueOpeners51
40.65% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences82
matches
0"Somewhere behind the bricks, a"
ratio0.012
59.02% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount33
totalSentences82
matches
0"He checked the street both"
1"His eyes went from the"
2"He shifted his grip."
3"She read it in his"
4"She went after him."
5"Her voice bounced off shutters"
6"He cut through a gap"
7"He threaded the gap between"
8"He knew the gaps in"
9"He crossed Euston Road against"
10"She counted her breathing in"
11"He dragged a plywood panel"
12"She keyed her radio twice."
13"She clipped the radio back"
14"He pressed it into a"
15"He kissed his thumb and"
16"She came down the last"
17"He turned, medallion swinging, sleeve"
18"He backed toward the gap"
19"She took the last three"
ratio0.402
33.17% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount70
totalSentences82
matches
0"Rain had come off the"
1"Detective Harlow Quinn stood in"
2"Tomás Herrera stepped out into"
3"Rain flattened his curls."
4"He checked the street both"
5"Quinn crossed the road and"
6"Water crawled down his face."
7"His eyes went from the"
8"The word came out round,"
9"He shifted his grip."
10"She read it in his"
11"She went after him."
12"Her voice bounced off shutters"
13"He cut through a gap"
14"A night bus hissed past"
15"He threaded the gap between"
16"Quinn gave the cab three"
17"The box slowed him."
18"He knew the gaps in"
19"He crossed Euston Road against"
ratio0.854
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences82
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences50
technicalSentenceCount3
matches
0"Through the glass she could see the walls inside, papered with old maps and photographs of men who'd died before her grandmother was born, and above the entranc…"
1"Quinn stood in the dark with a dead radio, a stolen jacket, and a box that breathed cold against her hip."
2"Morris's torch spinning on the concrete, its beam wheeling round and round like it was searching for something."
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
totalTags0
89.3398%