Run: 2026-09-03-01M1K9TFPW7W6K6MJHD3S5A5FF

Run Details

Duration:
2m 56s
Cost:
$0.036622
Provider:
NextBit

Model input

System
You are an expert novelist with a gift for vivid, immersive prose. You write in tight third-person limited point of view with a strong narrative voice. Your prose is clean, precise, and engaging — you favor strong verbs, concrete details, and natural-sounding dialogue. You will be given a story bible (codex) containing canonical details about characters, locations, items, and lore. Use these details to ground your writing in the established world. Stay consistent with the codex. Write only the prose of the scene. Do not include titles, chapter headings, markdown formatting, or any commentary before or after the scene.
User/Human
<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> 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.

Model response

AI
The air thickened ten steps below street level, going from autumn damp to something older: wet brick, candle smoke, and the mineral bite of stagnant water. Detective Harlow Quinn kept one hand on the rail and her torch beam on the next step. The stairs twisted away from Camden Lock into the abandoned station, and each footfall echoed back at her like someone walking just ahead. She had gone down into enough dark places in eighteen years that the descent itself no longer unsettled her, but this one felt different. The station had been sealed off from the street for decades, and yet the air was warm at the bottom, as if someone had only just blown out the lanterns. At the bottom, a constable lifted the tape. Harlow ducked under, checked her watch by habit—4:12, the worn leather strap warm against her left wrist—and swept the platform with her light. The old station had been dressed up like a market. Stalls lined the curved walls, canopies sagging from tiled arches, shelves cluttered with jars, bundles of feathers, coils of wire, and candles melted into puddles. It looked more like a theatre set than a crime scene, and that was the first thing that bothered her. Forensic officers in white suits moved near the far end, but the only other person not in a uniform was Dr. Eva Kowalski, who was crouched beside a crate, her satchel of books at her feet. Curly red hair escaped from a clip, and when she looked up, her round glasses caught the light. She tucked a stray strand behind her left ear—a nervous habit Harlow had noticed the first time they’d worked a case involving museum antiquities. The woman had a master’s degree from Oxford and an unsettling habit of treating occult symbols like road signs. “Detective,” Eva said, standing. “They said you’d want to see this one yourself.” “I always want to see them myself.” Harlow stepped over a bundle of sticks and stopped at the edge of the scene. “What’s the museum’s angle?” “The symbols. The objects.” Eva gestured at the body. “This isn’t a random stabbing. It’s staged, but not by anyone who buys their candles on the high street.” The victim lay on his left side between two stalls, a heavyset man in a dark wool overcoat. One hand was stretched toward a circle of small, pale objects—bone tokens, each the size of a thumb, arranged at precise intervals. The other hand was curled against his chest. A brass casing glinted in his fingers. Harlow pulled on nitrile gloves and crouched, careful to keep her boots outside the blood’s edge. The wound was a single slit below the sternum, a neat, almost surgical puncture. But the blood told a different story. It had pooled beneath the man’s back and spread toward the drainage channel, too wide and too settled for a wound that high. She had seen enough bodies to know what that meant. “He wasn’t killed here,” she said. Eva tilted her head. “No, he wasn’t. The circle is a ward. Whoever placed him here was trying to contain something.” Harlow let the torch play across the floor. Dust and grit had been disturbed in a narrow path from a service door twenty feet away, half-hidden behind a rack of patched coats. The path had been partially swept, but the dust on either side was thick. She rose and followed it, stepping over the electric cables the forensics team had taped down. “Look at the blood,” Harlow said, not turning. “It ran downhill from the small of his back. If he’d been stabbed standing here and fell, you’d see cast-off on the stall, on the crates. There’s nothing. Someone moved him after he’d been lying on his back long enough for the blood to pool.” “The market is used to blood,” Eva said, following. “The Veil Market doesn’t leave cast-off. The wards are meant to keep the violence inside.” Harlow stopped at the service door. The steel was pitted, the paint blistered. At chest height, a single dark smear ran along the jamb. She shone her torch at the concrete just outside the door: a small, almost invisible stain had darkened the mat, and a few drops led from there to the display area, drying in the direction of the drag. “This is the primary scene,” Harlow said. She pushed the door with two fingers. It opened onto a narrow maintenance passage, cold air rolling out like breath. The torch lit old cables and a mop bucket, nothing else. Eva appeared at her shoulder. “The compass,” she said quietly. “It points toward this door. The killer didn’t move the body away from the door—the body was placed away from the rift.” Harlow turned. “What rift?” “The needle isn’t pointing north.” Eva’s green eyes were bright behind her glasses. “It’s a Veil Compass. It points to the nearest supernatural rift or portal. That door, that cold air, the smear—it’s not blood. It’s residue. The market moves every full moon, and when it moves, it leaves a seam. Someone killed this man at the seam and then dragged him to the circle to keep whatever came through from following.” For a moment Harlow said nothing. She walked back to the body, picked up the compass with a gloved hand, and held it level. The needle quivered and swung, not toward north, but toward the service door. When she turned in a slow circle, the needle stayed fixed on that point as if nailed there. “That’s what it does,” Eva said. “Points toward the nearest rift. It was crafted by a Shade artisan—the sigils on the face are protective.” Harlow studied the casing. The brass had a patina of verdigris, old and uneven. The face was etched with patterns she didn’t recognize. But the case itself was too clean. No dust. No blood. The body’s hand had been curled around it, but the man’s fingers were smeared with blood from his own wound, and the brass was spotless. “It was placed in his hand after he died,” Harlow said. Eva frowned. “That doesn’t change what it points to.” “No. But it changes why it’s there.” Harlow set the compass on the crate and crouched again, this time at the victim’s feet. His boots were worn at the heels, but the soles carried no dust from this floor, no grit from the market. If he had walked through this station, the dust would have stuck to the damp leather. Instead, the only marks on him were a torn pocket and a red line across his wrist where something had been pulled free. She looked at the circle of bone tokens. Thirteen, but one of them was not like the others—its surface was smooth and pale, while the rest were yellowed and cracked. The smooth one sat at the circle’s edge, exactly where a thirteenth would complete a ring. Harlow used her torch to trace the floor around it. Dust had been brushed away in a half-arc, as if someone had swept the spot clean before setting the token down. “These tokens are entry requirements,” Eva said. “Everyone who enters the Veil Market carries one. The body should have one in his pocket.” Harlow rocked back on her heels. “He doesn’t. Look at the torn pocket. Look at his wrist. He had a token on a cord, and someone took it. The killer needed it to leave through the market’s ward—or whatever you call it. They replaced it in the circle with a fresh one to make the ritual look intact.” Eva opened her mouth, then closed it. She tucked a curl behind her ear again, her eyes scanning the platform as if the shadows might offer a correction. Harlow stood and aimed her torch at the service door, then at the body, then at the compass still pointing at the door. The deduction settled into place, piece by piece. “He was killed at the door,” she said. “Probably while trying to leave. The killer dragged him back here, posed him, took his token, and left a compass that points at the door to make it look like the portal—rift—whatever you want to call it—was the weapon. But a compass doesn’t stab a man below the sternum. A hand does.” Eva’s voice was quieter now. “You’re saying someone wanted us to believe it was supernatural.” “I’m saying someone wanted whoever finds this body to look at the compass and the circle and stop looking at the floor.” Harlow switched off her torch for a moment, letting the low emergency lights catch the edges of the room. “The blood path from the door, the clean soles, the planted token, the clean compass in a bloodied hand—none of it matches a ritual. It matches a staging. A very deliberate one.” “But the market is real,” Eva said. “The Veil is real.” “I don’t care if it is or isn’t,” Harlow said. “The killer does. They were counting on the people who find this body to believe the same thing you believe. And they were counting on the fact that no one would question a compass that doesn’t point north.” Eva looked down at her satchel, then back at Harlow. For a long moment, she said nothing. Then she pulled out a small notebook and began to sketch the circle, the door, the angle of the needle. Harlow watched her for a second longer and then turned to the constable at the tape. “Get me the CCTV from the Camden entrance, and get the forensics team to focus on the service door. I want every fibre from that mat before it dries.” The station seemed to hold its breath. Somewhere beyond the service door, a train passed in the next tunnel over, a low vibration that ran through the tiles and up Harlow’s spine. The smell of candle smoke clung to her coat. She looked once more at the compass on the crate, its needle still pointing at the door, and felt the old, familiar pull of something she couldn’t name—something she’d felt three years ago on a wet alley floor beside Morris, when the evidence had made no sense and the city had gone quiet. But this time, she knew where the floor was. And the floor didn’t lie.
created_at"2026-09-03T09:32:56.427Z" 9/3/2026, 9:32:56 AM
model"deepseek/deepseek-v4-pro-20260813"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2806
moderation_latency(null)
generation_time176142
tokens_prompt896
tokens_completion10203
native_tokens_prompt936
native_tokens_completion8936
native_tokens_completion_images(null)
native_tokens_reasoning6718
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)
usage0.03662208
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788427976-pYCSEKmstS1dPMbXH3MR"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788427976-olubh4m9oYmyeHyue4KE"
upstream_id"chatcmpl-nb5c4d8fc3052c4b9987e09422"
provider_responses
0
endpoint_id"ca5f0ff9-8764-4809-b5fa-968219bdfc4e"
id"chatcmpl-nb5c4d8fc3052c4b9987e09422"
is_byokfalse
latency2806
model_permaslug"deepseek/deepseek-v4-pro-20260813"
provider_name"NextBit"
status200
total_cost0.03662208
cache_discount(null)
upstream_inference_cost0
provider_name"NextBit"
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
totalTags16
adverbTagCount1
adverbTags
0"she said quietly [quietly]"
dialogueSentences36
tagDensity0.444
leniency0.889
rawRatio0.063
effectiveRatio0.056
97.12% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1738
totalAiIsmAdverbs1
found
0
adverb"very"
count1
highlights
0"very"
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)
76.99% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1738
totalAiIsms8
found
0
word"footfall"
count1
1
word"echoed"
count1
2
word"unsettled"
count1
3
word"electric"
count1
4
word"quivered"
count1
5
word"etched"
count1
6
word"scanning"
count1
7
word"familiar"
count1
highlights
0"footfall"
1"echoed"
2"unsettled"
3"electric"
4"quivered"
5"etched"
6"scanning"
7"familiar"
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
narrationSentences91
matches(empty)
95.76% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount2
narrationSentences91
filterMatches
0"watch"
hedgeMatches
0"began to"
1"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
repeatedSegmentCount0
maxSentenceWordsSeen60
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1724
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions21
unquotedAttributions1
matches
0"For a long moment, she said nothing."
50.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions43
wordCount1170
uniqueNames9
maxNameDensity1.88
worstName"Harlow"
maxWindowNameDensity3.5
worstWindowName"Harlow"
discoveredNames
Harlow22
Quinn1
Camden1
Lock1
Dr1
Kowalski1
Oxford1
Eva14
Morris1
persons
0"Harlow"
1"Quinn"
2"Dr"
3"Kowalski"
4"Eva"
5"Morris"
places
0"Camden"
1"Oxford"
globalScore0.56
windowScore0.5
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
totalMatches1
per1kWords0.58
wordCount1724
matches
0"not toward north, but toward the service door"
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
totalParagraphs38
mean45.37
std28.79
cv0.635
sampleLengths
0120
186
297
313
426
528
655
770
86
921
1062
1153
1224
1362
1438
1532
164
1772
1855
1924
2059
2111
229
2383
2477
2523
2658
2728
2831
2960
3015
3173
3211
3348
3437
3545
3694
3714
58.99% Passive voice overuse
Target: ≤2% passive sentences
passiveCount12
totalSentences91
matches
0"been sealed"
1"been dressed"
2"was crouched"
3"was stretched"
4"was curled"
5"been disturbed"
6"was pitted"
7"was etched"
8"been curled"
9"were smeared"
10"were worn"
11"been pulled"
12"been brushed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs178
matches(empty)
12.99% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount6
semicolonCount0
flaggedSentences5
totalSentences110
ratio0.045
matches
0"Harlow ducked under, checked her watch by habit—4:12, the worn leather strap warm against her left wrist—and swept the platform with her light."
1"She tucked a stray strand behind her left ear—a nervous habit Harlow had noticed the first time they’d worked a case involving museum antiquities."
2"One hand was stretched toward a circle of small, pale objects—bone tokens, each the size of a thumb, arranged at precise intervals."
3"Thirteen, but one of them was not like the others—its surface was smooth and pale, while the rest were yellowed and cracked."
4"She looked once more at the compass on the crate, its needle still pointing at the door, and felt the old, familiar pull of something she couldn’t name—something she’d felt three years ago on a wet alley floor beside Morris, when the evidence had made no sense and the city had gone quiet."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1178
adjectiveStacks0
stackExamples(empty)
adverbCount38
adverbRatio0.03225806451612903
lyAdverbCount7
lyAdverbRatio0.005942275042444821
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
mean15.67
std11.58
cv0.739
sampleLengths
026
117
223
324
430
58
623
710
825
920
1021
1115
1218
1324
1419
154
169
1722
184
199
2019
2118
2222
238
247
2516
2614
277
2823
2910
306
314
3217
338
3424
3514
3616
378
3845
399
4015
416
427
4311
4438
457
467
4713
4811
495
53.33% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.33636363636363636
totalSentences110
uniqueOpeners37
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences79
matches
0"Instead, the only marks on"
1"Then she pulled out a"
2"Somewhere beyond the service door,"
ratio0.038
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount15
totalSentences79
matches
0"She had gone down into"
1"It looked more like a"
2"She tucked a stray strand"
3"It had pooled beneath the"
4"She had seen enough bodies"
5"She rose and followed it,"
6"She shone her torch at"
7"She pushed the door with"
8"It opened onto a narrow"
9"she said quietly"
10"She walked back to the"
11"His boots were worn at"
12"She looked at the circle"
13"She tucked a curl behind"
14"She looked once more at"
ratio0.19
67.59% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount62
totalSentences79
matches
0"The air thickened ten steps"
1"Detective Harlow Quinn kept one"
2"The stairs twisted away from"
3"She had gone down into"
4"The station had been sealed"
5"Harlow ducked under, checked her"
6"The old station had been"
7"Stalls lined the curved walls,"
8"It looked more like a"
9"Eva Kowalski, who was crouched"
10"She tucked a stray strand"
11"The woman had a master’s"
12"Eva said, standing"
13"Harlow stepped over a bundle"
14"Eva gestured at the body"
15"The victim lay on his"
16"The other hand was curled"
17"A brass casing glinted in"
18"Harlow pulled on nitrile gloves"
19"The wound was a single"
ratio0.785
63.29% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences79
matches
0"If he had walked through"
ratio0.013
96.27% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences46
technicalSentenceCount3
matches
0"Eva Kowalski, who was crouched beside a crate, her satchel of books at her feet."
1"Dust had been brushed away in a half-arc, as if someone had swept the spot clean before setting the token down."
2"She tucked a curl behind her ear again, her eyes scanning the platform as if the shadows might offer a correction."
93.75% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags16
uselessAdditionCount1
matches
0"Harlow said, not turning"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags12
fancyCount0
fancyTags(empty)
dialogueSentences36
tagDensity0.333
leniency0.667
rawRatio0
effectiveRatio0
88.8698%