Run: 2026-09-03-01M1KB5CMCGMCNXT5DTQ66SG0V

Run Details

Duration:
2m 40s
Cost:
$0.045698
Provider:
CoreWeave

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 bone token warmed in Harlow’s fist as she pressed it to the old maintenance door beneath Camden High Street. The lock ticked open without her asking. She pocketed the sliver and pulled the door against wet hinges. A stairwell dropped into a darkness that smelled of soot, stale wax, and the mineral bite of concrete. Her torch cut through the black. The steps ended at a disused platform where enamel tiles had sloughed off in sheets and someone had torn the rails from their beds, leaving a long scar of gravel. Blue lamps guttered along the platform. Stalls stood between rusted columns, canopies stitched from leather and old military tarps. The Veil Market had a way of looking abandoned when it was most crowded, but tonight the silence had teeth. A uniformed constable waited at a strip of yellow tape tied between two pillars. He checked her identification with a shaking hand. “Which stall?” “Third on the left. The one with the green awning. The museum woman’s already inside.” Harlow ducked under the tape. Her shoe caught on the gravel and she steadied herself against a pillar. The platform had no straight lines. Everything tilted a half degree toward the dead tracks, as though someone had dropped the station from a height. She checked the worn leather watch on her left wrist. The full moon was two nights off. The market would fold itself up soon and leave nothing but an empty platform and a smell. The stall had a green awning stitched with “Curlow’s Cartography” in tarnished thread. A beaded curtain hung across the doorway, half undone. Harlow pushed it aside. Inside, a single oil lamp swung from an iron hook, casting a weak yellow tongue. The body sat in a chair behind a low counter, a man in his sixties, grey-faced, with his hands folded in his lap. His head drooped forward. No blood, no wounds. The air had the cloying honey-sweet smell of old pipe smoke and something else, a sharp odor like resin left too close to a flame. Eva Kowalski crouched near the back wall, her round glasses pushed up into her red hair. A leather satchel hung crossbody, stuffed with books, the strap cutting into the shoulder of her woollen coat. She ran a gloved finger over a patch of wall where the paper looked bleached. “You took your time.” Eva lowered her glasses into place. “Camden High Street is one-way for the living.” Harlow set her torch on the counter and glanced at the body, then at the wall. “Tell me.” “His name is Ellis Curlow. Sold maps, survey instruments, and allegedly false papers for crossing into the Near Lands.” Eva stood, tucking a curl behind her left ear. “The stall boy found him an hour ago. He was already cold. No visible marks, no sign of a struggle.” “So the shadow?” Harlow lifted the lamp from its hook and raised it toward the wall. “See the discoloration? The plaster is sun-bleached, but there’s no sun. A rift opened here. A small one, maybe the size of a dinner plate. It would have drawn out his shadow and most of his vital heat. That’s why there’s no wound. He was hollowed out.” Harlow walked to the body. She lifted one of his hands. The fingers were stiff, the knuckles cold. She let go and watched the arm settle back. “His sleeves are damp.” “Condensation. The station is humid.” Harlow shook her head. She pulled the lamp close to the floor. The light fell across a set of faint parallel marks in the dust, two grooves leading from the beaded doorway to the chair. They stopped at the back legs. She followed them backward. “Those are drag marks.” Eva folded her arms. “The geist could have dragged him.” “The geist was wearing boots, then.” Harlow crouched and pressed a thumb into one of the grooves. “The dust is ground in, not scattered. Something heavy was pulled through here. A body or a chair.” She moved the lamp. Near the counter’s leg lay a brass compass, its casing green with verdigris. She picked it up by the edge. The needle swung, trembled, and settled pointing directly at the chair. “That’s a Veil Compass.” Eva stepped closer. “Needle points toward the nearest rift or portal. If it points at the chair, then the rift was there. It confirms the residue.” Harlow turned the compass over. The sigils on the face had been etched with a fine hand, but the hinge was clean, too clean. The verdigris on the cover had been scraped away around the edge. She set it down and wiped her fingers. “This was planted.” Eva frowned. “You can’t know that.” “Can’t I?” Harlow straightened and pointed at the floor where the compass had sat. “There’s no dust beneath it. The outline is missing. An object sitting on a dirty floor picks up dust around its base. This one was dropped after the body was already here and the dust had settled.” Eva opened her mouth, then closed it. “The stall boy would have left footprints. There are none.” Harlow moved the lamp back to the chair. “And look at his hands. He’s got brick dust under his nails. There’s no brick in this stall, no brick on the platform. But there is in the service tunnels. So he was somewhere else before he arrived.” She straightened and looked around. The counter held a wooden rack of rolled charts, a brass knife, a small glass jar with dark liquid. A cup of tea sat beside the man’s elbow, full, cold. A thin skin had formed on top. “Whoever staged this wanted a locked room.” Harlow paused by the counter. “The key was in the inside lock. That’s what the PC told you?” Eva nodded. “I assumed the ward sealed him in.” “Show me the key.” Eva walked to the door and pulled a small iron key from the barrel lock. Harlow took it and held it up. The bit was too wide for the lock’s mouth and had been forced, leaving bright scratches. The barrel was old and dark, but the key had no tarnish. “Wrong key. A lock with a fresh scratch. Someone locked the door from outside, then pushed a wrong key into the inside to make it appear he’d been alone.” Eva stared at the key, then at the body. “Then why the compass? Why the residue?” “Because you’d see it.” Harlow stepped toward the back wall and ran a hand along the bleached patch. The edges were sharp, rectangular. A poster had hung there. She lifted the bottom corner of a torn hinge. “A poster of the Northern Line, maybe. It was removed. The wall behind it was always paler than the rest. No portal, just a cleaner patch of plaster.” Eva folded her arms tighter. Harlow crouched by the body again. She lifted his head. The neck bent; there was a small depression behind his left ear, hidden by the collar. She held the lamp close. A ruffled patch of scalp, wet and dark. “Blunt force to the base of the skull. No geist. No rift. He was killed somewhere with brick dust, dragged here, placed in that chair, and dressed up with your compass.” Eva sat down on a crate. She pulled off her glasses and blew out a breath. “If you’re right, then the market’s wards didn’t fail. The death didn’t come through a portal.” “The market’s wards are exactly what someone wanted us to blame.” Harlow stood and handed Eva the lamp. “Hold the light steady. There’s a smear near the curtain.” She pulled the beaded curtain aside. The worn leather band of her watch caught the light as her wrist turned. On the floor, just outside, a small crescent of black grit had been smeared in the direction of a spice stall to the left. The same dark grains stuck to the victim’s trouser cuffs. “He came from there.” Eva joined her, lamp raised. “That’s Aren’s stall. He sells myrrh and memory salts.” “Then that’s where I’m going.” Harlow stepped across the platform. She stopped at the edge of the spice stall’s tarp and looked back. “Bring the compass. I want it fingerprinted.” Eva picked up the compass and followed, boots silent on the old tiles.
created_at"2026-09-03T09:56:22.297Z" 9/3/2026, 9:56:22 AM
model"deepseek/deepseek-v4-pro-20260813"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency569
moderation_latency(null)
generation_time160451
tokens_prompt1112
tokens_completion12284
native_tokens_prompt1112
native_tokens_completion11172
native_tokens_completion_images(null)
native_tokens_reasoning10241
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)
usage0.04569784
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788429382-9sasK9wgMITAL2etXGUf"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788429382-nnQyhI4TnqteFaShxZFA"
upstream_id"chatcmpl-375531dd-da34-44e6-9f53-b43b6fe80c41"
provider_responses
0
endpoint_id"15560c07-2edc-40a6-b5ee-30819e66728a"
id"chatcmpl-375531dd-da34-44e6-9f53-b43b6fe80c41"
is_byokfalse
latency312
model_permaslug"deepseek/deepseek-v4-pro-20260813"
provider_name"CoreWeave"
status200
total_cost0.04569784
cache_discount(null)
upstream_inference_cost0
provider_name"CoreWeave"
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
totalTags13
adverbTagCount0
adverbTags(empty)
dialogueSentences40
tagDensity0.325
leniency0.65
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1392
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)
89.22% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1392
totalAiIsms3
found
0
word"silence"
count1
1
word"trembled"
count1
2
word"etched"
count1
highlights
0"silence"
1"trembled"
2"etched"
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
narrationSentences89
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences89
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences116
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen48
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1392
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
57.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions38
wordCount914
uniqueNames8
maxNameDensity1.86
worstName"Harlow"
maxWindowNameDensity3
worstWindowName"Harlow"
discoveredNames
Harlow17
Camden1
High1
Street1
Veil1
Market1
Kowalski1
Eva15
persons
0"Harlow"
1"Market"
2"Kowalski"
3"Eva"
places
0"Camden"
1"High"
2"Street"
globalScore0.57
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences67
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1392
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences116
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs45
mean30.93
std23.8
cv0.769
sampleLengths
092
161
22
315
477
597
649
710
826
948
1016
1147
1227
134
145
1545
164
1710
1835
1935
2030
2144
223
236
2451
257
2656
2742
2825
299
304
3150
3229
3316
3465
355
3639
3731
3832
3928
4054
414
4214
4330
4413
89.49% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences89
matches
0"been etched"
1"been scraped"
2"been forced"
3"been smeared"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs154
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount1
flaggedSentences1
totalSentences116
ratio0.009
matches
0"The neck bent; there was a small depression behind his left ear, hidden by the collar."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount916
adjectiveStacks1
stackExamples
0"cloying honey-sweet smell"
adverbCount21
adverbRatio0.02292576419213974
lyAdverbCount1
lyAdverbRatio0.001091703056768559
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences116
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences116
mean12
std8.36
cv0.697
sampleLengths
020
17
211
318
46
530
66
713
820
914
108
112
1215
135
1413
156
1619
1710
187
1917
2013
219
224
2315
2423
254
264
2725
2816
2918
3015
3110
3224
332
3428
3520
3616
3747
385
396
407
419
424
435
444
458
4623
476
484
494
52.01% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.35344827586206895
totalSentences116
uniqueOpeners41
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences87
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount22
totalSentences87
matches
0"She pocketed the sliver and"
1"Her torch cut through the"
2"He checked her identification with"
3"Her shoe caught on the"
4"She checked the worn leather"
5"His head drooped forward."
6"She ran a gloved finger"
7"She lifted one of his"
8"She let go and watched"
9"She pulled the lamp close"
10"They stopped at the back"
11"She followed them backward."
12"She moved the lamp."
13"She picked it up by"
14"She set it down and"
15"She straightened and looked around."
16"She lifted the bottom corner"
17"She lifted his head."
18"She held the lamp close."
19"She pulled off her glasses"
ratio0.253
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount82
totalSentences87
matches
0"The bone token warmed in"
1"The lock ticked open without"
2"She pocketed the sliver and"
3"A stairwell dropped into a"
4"Her torch cut through the"
5"The steps ended at a"
6"Stalls stood between rusted columns,"
7"The Veil Market had a"
8"A uniformed constable waited at"
9"He checked her identification with"
10"Harlow ducked under the tape."
11"Her shoe caught on the"
12"The platform had no straight"
13"Everything tilted a half degree"
14"She checked the worn leather"
15"The full moon was two"
16"The market would fold itself"
17"The stall had a green"
18"A beaded curtain hung across"
19"Harlow pushed it aside."
ratio0.943
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences87
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences34
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags13
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
86.0577%