Run: 2026-02-19-01KHTY8BTMJFDJX9DRZ8NHGVXA

Run Details

Duration:
51.2s
Cost:
$0.006930
Provider:
SiliconFlow

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 fell in sheets, turning London’s asphalt into a slick, black mirror. Detective Harlow Quinn’s lungs burned, but her legs kept pumping. The suspect, a lean man in a dark hoodie, was fifty feet ahead and fading. He dodged around a double-decker bus, its brakes screaming a wet protest against the road. Quinn followed, her worn leather watch strap slick on her wrist. Water plastered her salt-and-pepper hair to her skull. She’d been watching The Raven’s Nest for two weeks. That green neon sign, a beacon in Soho’s perpetual twilight, had become a second home. Tonight, her patience had paid off. The man had left the bar, moved with purpose down an alley, and then the chase began. He wasn’t just running from the law. He ran like he was running from something far worse. The suspect cut left, away from the bright chaos of Piccadilly and into the narrower, older streets of Covent Garden. The city’s heartbeat changed here. The thrum of traffic gave way to the echo of footsteps on wet cobblestones. Quinn closed the distance, her training taking over, her body a machine fuelled by pure instinct. She saw the tension in his shoulders, the frantic glance he threw over his shoulder. He was scared. He vaulted a low wall, landing in a puddle that sent a plume of dirty water into the air. Quinn didn’t break stride, using the wall to push herself higher, clearing it with inches to spare. The impact jarred her teeth, but she kept her balance. They were heading north, towards the grittier edges of the city. The familiar tourist traps fell away, replaced by industrial estates and shuttered warehouses. The air grew colder, thick with the smell of damp earth and rust. The man skidded to a halt in front of what looked like a derelict entrance to an underground station. The old London Underground sign was rusted through, the glass long since shattered. He glanced back one last time, his face a pale oval in the gloom, and then he disappeared down the steps. Quinn followed, her hand instinctively going to the small of her back where her weapon sat. The concrete steps were slick with moss and grime. At the bottom was a dead end. A solid brick wall, tagged with faded graffiti. No sign of the man. A flicker of movement in the corner of her eye. He hadn't vanished. He was standing right in front of the wall. He reached into his pocket and pulled out something small, something white that caught the faint light from the street above. A token, carved from bone. He pressed it into a single brick in the centre of the wall. A low grinding sound, like stone on stone, vibrated through the soles of Quinn’s boots. The brick wall didn’t open like a door. A section of it simply dissolved, the bricks turning to dust and swirling away to reveal a dark, yawning passage. The air that billowed out was thick, heavy with a scent she couldn’t place. Not decay. Something older. Like dried herbs and ozone. The man stepped through without hesitation. Quinn stood frozen at the bottom of the steps. The opening shimmered for a moment, then the dust settled, and the opening remained, a perfect rectangle of impossible blackness. Her mind raced. Three years ago, DS Morris had been found in an alley just like this one. No wounds, no signs of a struggle, just a look of profound, impossible terror on his face. The official report said heart failure. Quinn knew better. She’d spent three years chasing ghosts, and now one had just led her to its front door. This was it. The line. On one side, London. Rain. Rules. The life she understood. On the other, whatever this was. The thing that killed her partner. Her duty was clear. A suspect was a suspect. But every instinct screamed at her to turn back. This wasn't a simple pursuit. This was stepping off the edge of the map. She took a breath, the damp air catching in her throat, and walked through the opening. The transition was immediate and jarring. The cold, damp air of the Tube station was replaced by a warmth that cloyed. The scent intensified – burning incense, spiced meat, something metallic and sharp, like blood. The passageway opened up into a cavernous space, the abandoned platform of a forgotten station, but transformed. It was a market. Stalls and tables were crammed onto the platform and even onto the tracks below. The space was lit by an eclectic mix of bare bulbs, flickering lanterns that cast strange, dancing shadows, and jars containing what looked like captured lightning. The air hummed with a low murmur of dozens of conversations in languages she didn't recognise. She saw a woman with intricate silver scales on her neck haggling over a cage of silent, black birds. At another stall, a man with three fingers on each hand weighed out shimmering powders on a brass scale. Cages held creatures that chittered in the dark. Glass cases displayed artefacts that seemed to drink the light around them. This was the Veil Market. The whispers she’d heard in the darkest corners of her investigations were real. Her suspect was already melting into the crowd, his dark hoodie a perfect camouflage. She pushed forward, her police-trained gait sticking out like a sore thumb amidst the shuffling, secretive movements of the patrons. Eyes turned towards her. Not all of them human. A quick glance, then away. She was an outsider. A threat. A hand closed around her arm. The grip was firm but not aggressive. She spun around, ready to fight. A man stood there. He was younger than her, with olive skin and a mess of short, dark curls. Warm brown eyes regarded her with a calm that felt utterly out of place. A silver medallion of Saint Christopher glinted at his throat. A thin, white scar ran down his left forearm. “You’re lost, Detective,” he said. His voice was low, a Spanish accent softening the consonants. Quinn pulled her arm free. “Police. I’m pursuing a suspect.” The man’s gaze didn’t waver. He nodded slowly, as if this was the most normal thing in the world. “There are no suspects here. Only customers. And you are not a customer.” “He came through here. Dark hoodie. About this height.” She held a hand up. “Many people fit that description.” He took a step closer, blocking her view of the crowd. “This place doesn’t welcome your kind. The rules are different here. The consequences are permanent.” “I don’t care about your rules. A man is escaping custody.” “He isn’t escaping custody. He’s leaving your world.” The man gestured vaguely at the scene around them. “You’re chasing a shadow into a place made of them. Go back, Detective. While you still can.” Quinn’s jaw tightened. She could see her suspect, a flicker of movement near a stall selling bottled smoke. He was getting away. Every fibre of her being, every ounce of her eighteen years of service, screamed at her to push past this man, to make the arrest. To do her job. But looking into his calm, steady eyes, she saw no malice. Only a warning. He was telling the truth. This was a mistake. Her duty was on the other side of that wall, in the rain-soaked streets she knew. But the answers, the real answers about Morris, about the impossible things she’d seen, were here. In the humming, dangerous dark.
created_at"2026-02-19T12:33:34.553Z" 2/19/2026, 12:33:34 PM
model"z-ai/glm-4.6" 4/6/2001, 12:00:00 AM
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1670
moderation_latency(null)
generation_time50674
tokens_prompt1140
tokens_completion4603
native_tokens_prompt991
native_tokens_completion3444
native_tokens_completion_images(null)
native_tokens_reasoning1854
native_tokens_cached0
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"
usage0.00693009
router(null)
provider_responses
0
endpoint_id"2a87c474-6f6a-457f-8d8c-2afc71fb9fad"
id"019c75e43438c385a4fe0287909b76b4"
is_byokfalse
latency1670
model_permaslug"z-ai/glm-4.6" 4/6/2001, 12:00:00 AM
provider_name"SiliconFlow"
status200
api_type"completions"
id"gen-1771504414-e3QkE64FscWu3urmcuoS"
upstream_id"019c75e43438c385a4fe0287909b76b4"
total_cost0.00693009
cache_discount(null)
upstream_inference_cost0
provider_name"SiliconFlow"

Evaluation details

Result Evaluator Details Meta Data
0.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags4
adverbTagCount1
adverbTags
0"The man gestured vaguely [vaguely]"
dialogueSentences9
tagDensity0.444
leniency0.889
rawRatio0.25
effectiveRatio0.222
92.08% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1263
totalAiIsmAdverbs2
found
0
adverb"utterly"
count1
1
adverb"slowly"
count1
highlights
0"utterly"
1"slowly"
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)
20.82% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1263
totalAiIsms20
found
0
word"pumping"
count1
1
word"beacon"
count1
2
word"echo"
count1
3
word"footsteps"
count1
4
word"tension"
count1
5
word"familiar"
count1
6
word"shattered"
count1
7
word"gloom"
count1
8
word"flicker"
count2
9
word"vibrated"
count1
10
word"shimmered"
count1
11
word"perfect"
count2
12
word"raced"
count1
13
word"profound"
count1
14
word"warmth"
count1
15
word"dancing"
count1
16
word"intricate"
count1
17
word"amidst"
count1
highlights
0"pumping"
1"beacon"
2"echo"
3"footsteps"
4"tension"
5"familiar"
6"shattered"
7"gloom"
8"flicker"
9"vibrated"
10"shimmered"
11"perfect"
12"raced"
13"profound"
14"warmth"
15"dancing"
16"intricate"
17"amidst"
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
emotionTells1
narrationSentences117
matches
0"was scared"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences117
filterMatches
0"watch"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences122
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen26
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1259
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
totalMentions29
wordCount1173
uniqueNames17
maxNameDensity0.85
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
London3
Harlow1
Quinn10
Raven1
Nest1
Soho1
Piccadilly1
Covent1
Garden1
Underground1
Morris2
Tube1
Veil1
Market1
Saint1
Christopher1
Spanish1
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Morris"
4"Saint"
5"Christopher"
places
0"London"
1"Soho"
2"Covent"
3"Garden"
4"Underground"
globalScore1
windowScore1
55.06% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences79
glossingSentenceCount3
matches
0"looked like a derelict entrance to an und"
1"looked like captured lightning"
2"artefacts that seemed to drink the light around them"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1259
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences122
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs30
mean41.97
std24.23
cv0.577
sampleLengths
072
164
273
383
453
545
661
766
86
990
1027
1132
1216
1352
144
1556
1676
1754
1819
1952
2015
2110
2232
2314
2431
2511
2634
2751
2823
2937
90.27% Passive voice overuse
Target: ≤2% passive sentences
passiveCount5
totalSentences117
matches
0"was rusted"
1"been found"
2"was replaced"
3"were crammed"
4"was lit"
16.85% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount5
totalVerbs182
matches
0"was running"
1"were heading"
2"was standing"
3"was stepping"
4"was telling"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount0
flaggedSentences1
totalSentences122
ratio0.008
matches
0"The scent intensified – burning incense, spiced meat, something metallic and sharp, like blood."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1177
adjectiveStacks0
stackExamples(empty)
adverbCount29
adverbRatio0.02463891248937978
lyAdverbCount7
lyAdverbRatio0.00594732370433305
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences122
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences122
mean10.32
std5.83
cv0.565
sampleLengths
013
110
215
315
411
58
69
715
86
917
107
1110
1220
135
1414
1516
1615
173
1819
1917
2010
2111
2213
2313
2419
2513
2621
2716
289
297
308
315
3210
333
349
3521
365
3713
3815
398
4020
4114
422
432
445
456
469
4720
483
4915
38.80% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats16
diversityRatio0.3114754098360656
totalSentences122
uniqueOpeners38
30.30% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences110
matches
0"Only a warning."
ratio0.009
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount32
totalSentences110
matches
0"He dodged around a double-decker"
1"She’d been watching The Raven’s"
2"He wasn’t just running from"
3"He ran like he was"
4"She saw the tension in"
5"He was scared."
6"He vaulted a low wall,"
7"They were heading north, towards"
8"He glanced back one last"
9"He hadn't vanished."
10"He was standing right in"
11"He reached into his pocket"
12"He pressed it into a"
13"Her mind raced."
14"She’d spent three years chasing"
15"Her duty was clear."
16"She took a breath, the"
17"It was a market."
18"She saw a woman with"
19"Her suspect was already melting"
ratio0.291
37.27% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount93
totalSentences110
matches
0"The rain fell in sheets,"
1"Detective Harlow Quinn’s lungs burned,"
2"The suspect, a lean man"
3"He dodged around a double-decker"
4"Quinn followed, her worn leather"
5"Water plastered her salt-and-pepper hair"
6"She’d been watching The Raven’s"
7"That green neon sign, a"
8"Tonight, her patience had paid"
9"The man had left the"
10"He wasn’t just running from"
11"He ran like he was"
12"The suspect cut left, away"
13"The city’s heartbeat changed here."
14"The thrum of traffic gave"
15"Quinn closed the distance, her"
16"She saw the tension in"
17"He was scared."
18"He vaulted a low wall,"
19"Quinn didn’t break stride, using"
ratio0.845
45.45% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences110
matches
0"To do her job."
ratio0.009
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences56
technicalSentenceCount1
matches
0"The space was lit by an eclectic mix of bare bulbs, flickering lanterns that cast strange, dancing shadows, and jars containing what looked like captured lightn…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags4
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences9
tagDensity0.111
leniency0.222
rawRatio0
effectiveRatio0
80.8972%