Run: 2026-02-19-01KHSZ1GAXTAXNTC2K3A5A01B8

Run Details

Duration:
2m 16s
Cost:
$0.001917
Provider:
Novita

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 Camden Tube station was colder than a midwinter grave. Detective Harlow Quinn stepped through the makeshift barricade of yellow police tape, her breath misting in the gloom. The place reeked of damp concrete, ozone, and something coppery beneath it all. Crime scene lights threw harsh white pools across the tiled platforms and shadowed archways. Uniformed officers moved like wraiths in the periphery, their footsteps echoing hollowly in the vast underground space. But Quinn’s focus narrowed to the figure kneeling beside the body. She approached with military precision, the worn leather watch on her left wrist feeling tight against her skin. The sharp line of her jaw tightened as she took in the scene. A man lay sprawled near the edge of the platform, one arm dangling over the tracks where trains hadn’t run in thirty years. Late forties, expensive wool coat now stained dark at the chest. His face was turned away, features slack and pale under the lights. A spreading halo of blood darkened the dusty tiles beneath him. Standard issue Metropolitan Police officers stood at a respectful distance, fidgeting with their gloves. But the woman kneeling beside the body wasn’t in uniform. Eva Kowalski looked up as Quinn’s shadow fell across her, green eyes magnified behind round glasses. Her curly red hair was tucked hastily behind one freckled ear, the movement quick and nervous. She wore a heavy wool coat over what looked like museum-issue trousers, and Quinn noted the worn leather satchel discarded a few feet away, fat with books. “Detective.” Eva’s voice echoed slightly in the cavernous space. “Miss Kowalski.” Quinn didn’t crouch. She kept her hands in her coat pockets, her brown eyes cataloging details. “Another late night in the archives?” “I was meeting someone.” Eva gestured toward the dead man with a gloved hand. “Him.” “You knew the victim?” “He works—worked—in acquisitions for a private collector. We’ve corresponded about some artifacts. He asked to meet here. Said he’d found something I needed to see.” Quinn’s gaze swept the platform. “An abandoned Tube station.” “It’s not abandoned tonight.” That’s when Quinn noticed the subtle wrongness. The blood pattern on the tiles didn’t match the body’s position. The spatter arced too high, as if the initial impact had occurred while the victim was standing, but he lay prone now with no sign of a struggle around him. Drag marks were absent. And the smell—that coppery tang wasn’t just blood. Quinn had caught that scent before, three years ago in an alley behind a pub, moments before her partner disappeared. “What did he want to show you?” Quinn asked, her voice flat. Eva hesitated. She glanced at the uniformed officers, then back to Quinn. “He claimed to have acquired something from the Veil Market.” The name meant nothing to Quinn on any official report, but she’d seen it scrawled in Morris’s notebook, the one the department never found. Her stomach tightened. “A black market for... unusual goods,” Eva continued quietly. “It moves locations every full moon. Tonight it was here.” Quinn finally crouched, her knees protesting. She examined the victim’s hands. No defensive wounds. His knuckles were clean, nails trimmed. A man of means, not a fighter. But a single puncture wound through the coat, directly over the heart. Neat. Surgical. “Knife?” one of the uniforms offered from nearby. “Too clean,” Quinn murmured. She leaned closer, ignoring the coppery smell. “No tearing on the fabric. Blade would catch wool fibers.” Eva watched her. “There are other possibilities.” “Don’t.” Quinn spoke without looking up. “I want facts first. Your theories after.” “The facts are wrong, Detective.” Quinn glanced at her. Eva wasn’t nervous anymore. She had that look academics get when they’ve found a contradiction in a centuries-old text. “Show me.” Eva pointed to the victim’s dangling hand. “Look at his wrist.” At first glance, nothing. Then Quinn saw it—faint green staining around the cuff, a patina like weathered copper. She’d seen that shade before too, on artifacts in museum cases. “Verdigris,” Eva said softly. “From handling brass.” Quinn took a pair of evidence gloves from her pocket, pulled them on with a snap. Gently, she turned the dead man’s hand. His palm was clean, but the stain encircled his wrist like he’d been wearing something tight against his skin. “A bracelet?” she guessed. “A casing.” Eva reached for her satchel, pulled out a small notebook. “The Veil Market trades in enchanted items. Buyers use bone tokens for entry, but sometimes they barter with objects. He told me he’d acquired a compass.” She flipped pages, showed Quinn a sketch of a brass compass with intricate sigils etched around its face. “You think someone killed him for this compass.” “I think someone killed him with it.” Quinn stood, her shadow stretching long across the platform. She walked a slow circuit around the body, her mind working. Puncture wound without fabric tearing. No defensive wounds. Victim knew his killer, turned his back. The stain on his wrist suggested he’d been wearing the compass recently, but it was gone now. She stopped near the edge of the tracks, looked down into the darkness where the rails gleamed dully. Something glinted among the debris—a sliver of brass. Quinn knelt again, plucked it from the grime with tweezers from her kit. A tiny broken needle, no larger than a splinter. “The needle from his compass,” Eva said, appearing at her shoulder. “It wouldn’t point north.” “Then what would it point to?” “Supernatural rifts. Portals. Things that shouldn’t exist.” Quinn turned the sliver in the light. The break was clean, deliberate. She looked back at the body, at the single puncture wound over the heart. A compass needle, driven with enough force to penetrate wool and bone. No weapon left behind except this fragment. “He was wearing it on his wrist,” Quinn said, piecing it together aloud. “Someone grabbed him, yanked the compass from its casing. Broke the needle off. Used it.” She stood, facing Eva. “Why?” “The compass points to rifts,” Eva repeated, her voice low. “Maybe he found one here. Maybe someone didn’t want him showing it to me.” One of the uniformed officers approached, a young constable with wide eyes. “Detective? The medical examiner’s here.” Quinn nodded, handed him the evidence bag with the needle fragment. “Tell him I want the wound inspected for metal residue. And I want this station swept for brass fragments.” The constable hurried away. Eva was watching her, something like approval in her green eyes. “You believe me.” “I believe the evidence.” Quinn turned, surveying the platform again. The wrongness settled over her like a shroud. Too clean. Too precise. Like Morris’s disappearance, which had been scrubbed from the records with military efficiency. She walked to where the blood spatter arced high on a tiled pillar. Reached up, her gloved fingers tracing the pattern. “Impact occurred here. He was standing.” She moved to where the body lay. “He fell here. But there’s no blood trail between.” “They moved him after.” “Why?” Quinn faced her. “Why kill a man with a compass needle, then rearrange his body?” Eva’s freckles stood out against her pale skin. “To stage the scene. To make it look like something it wasn’t.” “A robbery gone wrong,” Quinn guessed. “Common enough down here. They take his wallet, watch, leave the body. Case closed.” “But you’re not closing it.” “No.” Quinn looked at the shadows between the archways, where the crime scene lights didn't reach. She thought of Morris, of the way he’d vanished between one breath and the next. No blood, no body, just that same coppery scent lingering in the air. The Veil Market. Enchanted compasses. Rifts. “Tell me everything you know about this market,” she said quietly. “Not here.” Eva glanced at the officers. “It’s not safe.” “My partner died because of things I didn’t understand,” Quinn said, the words coming out harder than she intended. “I’m done with not understanding.” The ghost of sympathy touched Eva’s face. She nodded, tucking her hair behind her ear again. “Later. Somewhere secure.” Quinn accepted that with a curt nod. She took one last look at the dead man on the platform, at the neat puncture in his coat, at the faint green stain around his wrist. She saw what the others had missed—a story written in brass and blood and broken needles. She turned to the waiting officers. “I want this station sealed. No one in or out without my authorization.” “But Detective, it’s a public—” “It’s a crime scene,” Quinn cut in, her voice leaving no room for argument. “And there’s more here than a dead body.” As she walked back through the barricade of yellow tape, she felt the weight of the empty platform behind her. The wrongness clung like a second skin. But beneath it, something else—the first thread of a truth she’d been chasing for three years, shimmering like a compass needle pointing into the dark.
created_at"2026-02-19T03:28:03.942Z" 2/19/2026, 3:28:03 AM
model"microsoft/wizardlm-2-8x22b"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency974
moderation_latency(null)
generation_time136341
tokens_prompt1152
tokens_completion2491
native_tokens_prompt1035
native_tokens_completion2057
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached1024
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"
usage0.00191704
router(null)
provider_responses
0
endpoint_id"92d0658f-b48a-4746-96e7-75ea71d5e060"
id"3212b490-2ba4-4a63-bc5a-032117a826be"
is_byokfalse
latency974
model_permaslug"microsoft/wizardlm-2-8x22b"
provider_name"Novita"
status200
api_type"completions"
id"gen-1771471683-exoDV2YkezMR2GjthQ47"
upstream_id"3212b490-2ba4-4a63-bc5a-032117a826be"
total_cost0.00191704
cache_discount(null)
upstream_inference_cost0
provider_name"Novita"

Evaluation details

Result Evaluator Details Meta Data
70.97% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags25
adverbTagCount4
adverbTags
0"Eva’s voice echoed slightly [slightly]"
1"Eva continued quietly [quietly]"
2"Eva said softly [softly]"
3"she said quietly [quietly]"
dialogueSentences62
tagDensity0.403
leniency0.806
rawRatio0.16
effectiveRatio0.129
90.01% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1501
totalAiIsmAdverbs3
found
0
adverb"slightly"
count1
1
adverb"softly"
count1
2
adverb"gently"
count1
highlights
0"slightly"
1"softly"
2"gently"
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)
63.36% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1501
totalAiIsms11
found
0
word"grave"
count1
1
word"gloom"
count1
2
word"footsteps"
count1
3
word"echoing"
count1
4
word"standard"
count1
5
word"echoed"
count1
6
word"stomach"
count1
7
word"intricate"
count1
8
word"etched"
count1
9
word"tracing"
count1
10
word"weight"
count1
highlights
0"grave"
1"gloom"
2"footsteps"
3"echoing"
4"standard"
5"echoed"
6"stomach"
7"intricate"
8"etched"
9"tracing"
10"weight"
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
narrationSentences114
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences114
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences151
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen44
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1492
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions14
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions59
wordCount1100
uniqueNames12
maxNameDensity2.73
worstName"Quinn"
maxWindowNameDensity5
worstWindowName"Quinn"
discoveredNames
Camden1
Tube1
Harlow1
Quinn30
Metropolitan1
Police1
Kowalski1
Eva17
Morris3
One1
Veil1
Market1
persons
0"Harlow"
1"Quinn"
2"Kowalski"
3"Eva"
4"Morris"
5"One"
places(empty)
globalScore0.136
windowScore0
87.50% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences80
glossingSentenceCount2
matches
0"looked like museum-issue trousers, and Qu"
1"something like approval in her green eyes"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1492
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount3
totalSentences151
matches
0"caught that scent"
1"had that look"
2"seen that shade"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs66
mean22.61
std16.77
cv0.742
sampleLengths
045
142
231
371
410
559
69
724
815
94
1025
119
124
1352
1428
1512
1622
1727
1819
1941
208
2121
227
2313
245
2523
262
2711
2829
297
3042
314
3256
338
347
3552
3639
379
3815
396
407
4145
4233
4324
4417
4530
464
4714
4835
4943
92.95% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences114
matches
0"was turned"
1"was tucked"
2"was gone"
3"been scrubbed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs172
matches
0"was standing"
1"was watching"
48.25% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount0
flaggedSentences5
totalSentences151
ratio0.033
matches
0"And the smell—that coppery tang wasn’t just blood."
1"Then Quinn saw it—faint green staining around the cuff, a patina like weathered copper."
2"Something glinted among the debris—a sliver of brass."
3"She saw what the others had missed—a story written in brass and blood and broken needles."
4"But beneath it, something else—the first thread of a truth she’d been chasing for three years, shimmering like a compass needle pointing into the dark."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1107
adjectiveStacks0
stackExamples(empty)
adverbCount35
adverbRatio0.031616982836495035
lyAdverbCount12
lyAdverbRatio0.01084010840108401
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences151
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences151
mean9.88
std6.58
cv0.666
sampleLengths
014
118
213
314
417
511
618
713
823
911
1012
1111
1214
1310
1416
1516
1627
179
185
1913
206
2114
221
234
2425
255
264
274
287
2911
3030
314
328
3320
3412
352
3610
3710
3824
393
409
4110
426
435
443
456
467
4712
481
491
62.25% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.3973509933774834
totalSentences151
uniqueOpeners60
64.10% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences104
matches
0"Then Quinn saw it—faint green"
1"Gently, she turned the dead"
ratio0.019
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount26
totalSentences104
matches
0"She approached with military precision,"
1"His face was turned away,"
2"Her curly red hair was"
3"She wore a heavy wool"
4"She kept her hands in"
5"She glanced at the uniformed"
6"Her stomach tightened."
7"She examined the victim’s hands."
8"His knuckles were clean, nails"
9"She leaned closer, ignoring the"
10"She had that look academics"
11"She’d seen that shade before"
12"His palm was clean, but"
13"She flipped pages, showed Quinn"
14"She walked a slow circuit"
15"She stopped near the edge"
16"She looked back at the"
17"She stood, facing Eva"
18"She walked to where the"
19"She moved to where the"
ratio0.25
56.15% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount84
totalSentences104
matches
0"The air in the abandoned"
1"Detective Harlow Quinn stepped through"
2"The place reeked of damp"
3"Crime scene lights threw harsh"
4"She approached with military precision,"
5"The sharp line of her"
6"A man lay sprawled near"
7"His face was turned away,"
8"A spreading halo of blood"
9"Eva Kowalski looked up as"
10"Her curly red hair was"
11"She wore a heavy wool"
12"Eva’s voice echoed slightly in"
13"Quinn didn’t crouch"
14"She kept her hands in"
15"Eva gestured toward the dead"
16"Quinn’s gaze swept the platform."
17"That’s when Quinn noticed the"
18"The blood pattern on the"
19"The spatter arced too high,"
ratio0.808
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences104
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences46
technicalSentenceCount0
matches(empty)
65.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags25
uselessAdditionCount3
matches
0"Quinn asked, her voice flat"
1"Eva repeated, her voice low"
2"Quinn said, the words coming out harder than she intended"
53.23% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags12
fancyCount6
fancyTags
0"Eva continued quietly (continue)"
1"Quinn murmured (murmur)"
2"Quinn spoke (speak)"
3"she guessed (guess)"
4"Eva repeated (repeat)"
5"Quinn guessed (guess)"
dialogueSentences62
tagDensity0.194
leniency0.387
rawRatio0.5
effectiveRatio0.194
81.7922%