Run: 2026-02-19-01KHTY94S73VNFN09Q9JTTD19B

Run Details

Duration:
1m 15s
Cost:
$0.006362
Provider:
DeepInfra

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="4414" name="Eva Kowalski" aliases="Eva, Evie" pronouns="she/her" species="Human" storyRole="Best Friend"> <eyeColor>green</eyeColor> <hair>curly red</hair> <height>5'4"</height> <age>26</age> <glasses>round glasses</glasses> <satchel>worn leather satchel full of books</satchel> <freckles>freckled complexion</freckles> <nervousHabit>tucking hair behind her left ear</nervousHabit> <description>Aurora's childhood friend and an occult researcher.</description> <backstory>Moved to London two years before Aurora and works as a research assistant at the British Museum's restricted archives. She holds a master's degree in Ancient History from Oxford.</backstory> </character> <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> <item id="2004" name="Veil Compass" aliases="the Compass, shadow compass" type="Tool" origin="The Veil Market"> <casingMaterial>small brass compass</casingMaterial> <faceMarkings>face etched with protective sigils</faceMarkings> <needle>points toward the nearest supernatural rift or portal</needle> <patina>casing has a patina of verdigris</patina> <creator>crafted by a Shade artisan</creator> <description>A compass attuned to supernatural energy.</description> </item> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the mystery genre. A detective arrives at a crime scene in an unusual location. Something is wrong — the evidence doesn't add up. A colleague is present, offering a different interpretation. Through careful observation and deduction, the detective begins to see what others have missed. 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 air in the abandoned Tube station hung thick with the smell of damp earth, ozone, and something else, something like burnt sugar and old spices. Detective Harlow Quinn descended the concrete steps, her worn leather watch a familiar weight on her wrist. The uniformed officer at the cordon nodded her through, his face pale under the flickering emergency lights. Down on the platform, the scene was a jarring collision of worlds. Police tape fluttered next to stalls draped in velvet, jars of shimmering liquid catching the blue and red strobes of the squad cars parked what felt like a mile above. "Quinn. Glad you could make it." DS Miller straightened up from where he was conferring with a forensics tech. He was a sturdy man, built like a wardrobe, with a face that seemed permanently set to 'unimpressed'. "Just another Tuesday in Camden, eh? Though usually the stiffs are above ground." Harlow’s eyes scanned the platform. This was the Veil Market, a place she’d only ever heard whispers of on the force, filed away under 'things we don't talk about'. It was even stranger than the rumours suggested. Stalls offered cages that hummed with a low energy, blades that seemed to drink the light, and books bound in something that wasn't leather. "What have we got, Miller?" "John Doe. No ID. Wallet's gone, watch too. Looks like a deal went south. Lot of dodgy types down here, you can imagine." He gestured with a gloved hand towards the far end of the platform where the body lay. "Forensics thinks blunt force trauma to the back of the head. One good whack, he goes down. Robber grabs his valuables and bolts. Simple enough." Harlow didn't answer. She walked towards the body, her footsteps echoing in the cavernous space. A small woman with curly red hair and round glasses stood a few feet away, clutching a worn leather satchel to her chest like a shield. Eva Kowalski. The department's 'consultant' on all things weird. She gave Harlow a tight, nervous smile. "Detective Quinn." "Eva. What are you seeing?" Eva pushed her glasses up her nose, tucking a stray strand of hair behind her ear. "The market's energy is… agitated. More than usual. It happens when there's a violent death. It's like a scream no one can hear." Harlow knelt beside the victim. A man in his late thirties, dressed in a simple, dark jacket. His face was slack, eyes staring at the arched brick ceiling. Miller's theory made sense on the surface. A mugging. It happened. But Harlow's gut, a finely tuned instrument after eighteen years on the force, was humming a different tune. She ignored the gaping wound on the man's head for a moment. Her gaze swept the floor around him. The ground was coated in a fine layer of dust and grit, disturbed by the shuffling feet of constables and techs. But beyond that, nothing. No scuff marks from a struggle. No drag marks where the body might have been moved. No footprints fleeing the scene. It was as if the man had simply lain down and died. "Miller, where's the blood?" she asked, her voice quiet. "What's that?" Miller ambled over. "Oh, head wounds don't always bleed that much. Especially a fast one." "This wasn't fast." Harlow pointed to the man's hands. They were clean, resting palms-up on the dusty ground. No dirt under his fingernails. No defensive wounds on his arms. If someone was attacking you, you fought back. You clawed, you grabbed, you scraped your hands on the concrete trying to crawl away. This man hadn't done any of that. "Maybe he was taken by surprise," Miller offered, a note of impatience in his voice. "Came from behind. He wouldn't have had time to do anything." Harlow stood up, her sharp jawline tight. "Then where's the weapon? Where's the blood spatter? A blow hard enough to kill him would have cast something. We're in a sealed environment. It has to be here." "We're looking. It's a mess down here, Quinn. Could be anywhere." "No." She shook her head. "It wouldn't be anywhere. It would be *here*." She indicated the immediate vicinity, a ten-foot radius that was disturbingly, unnervingly clean. The only thing out of place was the body itself. Eva stepped closer, her eyes wide. "She's right. Look at the dust. The vibrations from the trains on the other lines, they cause a constant, fine settling of dust. But the dust around him… it looks like it fell after he was already on the ground. There's no pattern to it, no disturbance." Miller sighed, running a hand through his hair. "Alright, so it's a weird one. What's your grand theory, then? A ghost did it?" Harlow ignored him. She knelt again, this time leaning in close to the victim's jacket. Her eyes narrowed, tracing the seam of the sleeve. There. Tucked into the cuff, almost invisible against the dark fabric, was a glint of metal. She reached out with a gloved finger and worked it free. It was a small brass compass, no bigger than her thumb. The casing had a greenish patina, its face etched with intricate, swirling sigils that seemed to shift if she stared at them too long. It wasn't a modern device. It looked ancient. "What's that?" Eva whispered, leaning over her shoulder. Harlow didn't answer. She held the compass flat in her palm. The needle inside didn't point north. It spun wildly for a moment, then stopped with a decisive click. It pointed directly at the victim's chest. She moved the compass. The needle stayed locked on the body. She held it over the man's heart. The needle vibrated, humming against the glass. "It's a Veil Compass," Eva breathed, her voice full of awe. "They're attuned to supernatural energy. They point toward rifts, portals… sources of power." Miller scoffed. "A toy. Probably part of the junk he was trying to sell." Harlow looked from the compass to the dead man's face, then back to the needle pointing at his heart. It wasn't pointing at a location. It was pointing at *him*. Or something inside him. She stood up slowly, her mind racing. The lack of a struggle. The pristine scene. The missing weapon. The victim's clean hands. A man who deals in supernatural goods, murdered in a supernatural market, with a device that points to supernatural energy. "He wasn't killed here," Harlow said, the certainty in her voice cutting through Miller's scepticism. "What? Of course he was. We found him here." "The scene is wrong. It's staged. He was killed somewhere else, and whatever killed him, it took everything. His wallet, his watch, his weapon. It left him clean. Then it dropped him here." She looked down at the compass in her hand. "And it left this behind. A message." Miller stared at her, then at the body, his expression shifting from annoyance to confusion. "A message? What kind of message?" Harlow’s gaze fell upon the solid brick wall at the end of the platform. The compass was still pointing at the body, but she had a feeling, a deep, instinctual pull, that if she moved to the other side of the station, it would point right back to this spot. Not to the man, but to the space he occupied. To the place where he had been placed. She looked at Eva, whose freckled face was pale with understanding. Then she looked back at the wall, a new and terrifying thought taking root in her mind. The killer hadn't just left the body. It had left a door.
created_at"2026-02-19T12:34:00.108Z" 2/19/2026, 12:34:00 PM
model"z-ai/glm-4.6" 4/6/2001, 12:00:00 AM
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency248
moderation_latency(null)
generation_time74843
tokens_prompt1149
tokens_completion3792
native_tokens_prompt1021
native_tokens_completion3417
native_tokens_completion_images(null)
native_tokens_reasoning1920
native_tokens_cached64
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"
usage0.006362209
router(null)
provider_responses
0
endpoint_id"c8607edc-8577-4199-b03d-1213da4743dc"
id"chatcmpl-Rv50IwGjN2oEvYiRjbrrs26x"
is_byokfalse
latency79
model_permaslug"z-ai/glm-4.6" 4/6/2001, 12:00:00 AM
provider_name"DeepInfra"
status200
api_type"completions"
id"gen-1771504440-VSgOdWIGlHixucP0s1nt"
upstream_id"chatcmpl-Rv50IwGjN2oEvYiRjbrrs26x"
total_cost0.006362209
cache_discount0.0000224
upstream_inference_cost0
provider_name"DeepInfra"

Evaluation details

Result Evaluator Details Meta Data
62.07% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags14
adverbTagCount2
adverbTags
0"a sturdy man built like [like]"
1"a place she’d only [only]"
dialogueSentences29
tagDensity0.483
leniency0.966
rawRatio0.143
effectiveRatio0.138
96.07% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1271
totalAiIsmAdverbs1
found
0
adverb"slowly"
count1
highlights
0"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)
40.99% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1271
totalAiIsms15
found
0
word"familiar"
count1
1
word"weight"
count1
2
word"fluttered"
count1
3
word"velvet"
count1
4
word"sturdy"
count1
5
word"scanned"
count1
6
word"footsteps"
count1
7
word"echoing"
count1
8
word"tracing"
count1
9
word"glint"
count1
10
word"etched"
count1
11
word"intricate"
count1
12
word"vibrated"
count1
13
word"racing"
count1
14
word"pristine"
count1
highlights
0"familiar"
1"weight"
2"fluttered"
3"velvet"
4"sturdy"
5"scanned"
6"footsteps"
7"echoing"
8"tracing"
9"glint"
10"etched"
11"intricate"
12"vibrated"
13"racing"
14"pristine"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes narrowed"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences93
matches(empty)
96.77% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount2
narrationSentences93
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)
analyzedSentences110
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen47
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans2
markdownWords2
totalWords1269
ratio0.002
matches
0"here"
1"him"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
79.12% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions32
wordCount917
uniqueNames8
maxNameDensity1.42
worstName"Harlow"
maxWindowNameDensity2.5
worstWindowName"Harlow"
discoveredNames
Tube1
Harlow13
Quinn1
Miller8
Veil1
Market1
Kowalski1
Eva6
persons
0"Harlow"
1"Quinn"
2"Miller"
3"Kowalski"
4"Eva"
places(empty)
globalScore0.791
windowScore0.833
0.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences66
glossingSentenceCount5
matches
0"something like burnt sugar and old spices"
1"felt like a mile above"
2"blades that seemed to drink the light, and books bound in something that wasn't leather"
3"It was as if the man had simply lain down and died"
4"sigils that seemed to shift if she stared at them too long"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.788
wordCount1269
matches
0"Not to the man, but to the space he occupied"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences110
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs34
mean37.32
std23.87
cv0.639
sampleLengths
0102
150
261
35
465
557
62
75
839
957
1077
119
1217
1359
1426
1536
1611
1736
1853
1923
2051
2143
228
2361
2424
2514
2634
2742
2815
299
3049
3121
3268
3340
93.94% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences93
matches
0"was coated"
1"been moved"
2"been placed"
0.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount5
totalVerbs151
matches
0"was conferring"
1"was humming"
2"was attacking"
3"wasn't pointing"
4"was pointing"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences110
ratio0
matches(empty)
90.40% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount412
adjectiveStacks0
stackExamples(empty)
adverbCount21
adverbRatio0.050970873786407765
lyAdverbCount4
lyAdverbRatio0.009708737864077669
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences110
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences110
mean11.54
std8.73
cv0.757
sampleLengths
026
117
217
312
430
519
618
713
85
924
108
1124
125
1340
1425
153
1612
1726
182
197
207
212
225
2316
2423
255
2612
2711
287
292
302
3118
3212
337
3421
354
366
3710
385
3912
409
415
4212
439
449
455
466
478
4815
497
46.97% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats10
diversityRatio0.33636363636363636
totalSentences110
uniqueOpeners37
38.31% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences87
matches
0"Then she looked back at"
ratio0.011
77.47% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount31
totalSentences87
matches
0"He was a sturdy man,"
1"It was even stranger than"
2"He gestured with a gloved"
3"She walked towards the body,"
4"She gave Harlow a tight,"
5"His face was slack, eyes"
6"She ignored the gaping wound"
7"Her gaze swept the floor"
8"It was as if the"
9"she asked, her voice quiet"
10"They were clean, resting palms-up"
11"You clawed, you grabbed, you"
12"She shook her head"
13"She indicated the immediate vicinity,"
14"She knelt again, this time"
15"Her eyes narrowed, tracing the"
16"She reached out with a"
17"It was a small brass"
18"It wasn't a modern device."
19"It looked ancient."
ratio0.356
40.46% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount73
totalSentences87
matches
0"The air in the abandoned"
1"Detective Harlow Quinn descended the"
2"The uniformed officer at the"
3"Police tape fluttered next to"
4"DS Miller straightened up from"
5"He was a sturdy man,"
6"Harlow’s eyes scanned the platform."
7"This was the Veil Market,"
8"It was even stranger than"
9"Stalls offered cages that hummed"
10"He gestured with a gloved"
11"Harlow didn't answer."
12"She walked towards the body,"
13"A small woman with curly"
14"She gave Harlow a tight,"
15"Eva pushed her glasses up"
16"Harlow knelt beside the victim."
17"A man in his late"
18"His face was slack, eyes"
19"Miller's theory made sense on"
ratio0.839
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences87
matches
0"If someone was attacking you,"
1"To the place where he"
ratio0.023
99.57% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences33
technicalSentenceCount2
matches
0"The casing had a greenish patina, its face etched with intricate, swirling sigils that seemed to shift if she stared at them too long."
1"A man who deals in supernatural goods, murdered in a supernatural market, with a device that points to supernatural energy."
17.86% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags14
uselessAdditionCount3
matches
0"she asked, her voice quiet"
1"Miller offered, a note of impatience in his voice"
2"Eva breathed, her voice full of awe"
81.03% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount2
fancyTags
0"Eva whispered (whisper)"
1"Eva breathed (breathe)"
dialogueSentences29
tagDensity0.138
leniency0.276
rawRatio0.5
effectiveRatio0.138
78.7012%