Run: 2026-02-17-01KHNFVSXXPXT4GVZ2ED8XFKJQ

Run Details

Duration:
10.3s
Cost:
$0.000277
Provider:
Clarifai

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 Veil Market’s entrance wasa jagged mouth in the brick wall of Camden’s abandoned Northern Line platform, hidden beneath a thick layer of moss and the occasional discarded fast-food wrapper. Detective Harlow Quinn’s worn leather watch ticked steadily as she stepped over the threshold, the cold, damp air of the Tube station wrapping around her like a shroud. Her sharp jawline was set, eyes scanning the gloom. Eva Kowalski, her childhood friend and occult researcher, stood a few feet away, her round glasses reflecting the weak beam of a flashlight she held. Eva’s curly red hair was pulled back in a messy bun, escaping wisps framing her freckled face. She clutched a worn leather satchel, its contents likely a mix of arcane texts and scavenged artifacts. “This is it?” Eva’s voice was hushed, tinged with a mix of apprehension and academic curiosity. “The body’s still here?” “Still here,” Harlow confirmed, her voice low and gravelly. “And the evidence is… messy.” She gestured towards the far end of the platform, where a dim pool of light from Eva’s flashlight illuminated a figure sprawled on the grimy concrete. A man in a cheap suit, face turned upwards, eyes wide and unseeing. A single, precise stab wound pierced his chest, the blade still embedded in his sternum. Blood had pooled around him, dark and viscous in the gloom. “Look at the position,” Harlow continued, crouching beside the body. “The stab wound is clean, deep. But the blood spatter… it’s inconsistent. Too little near the body, too much higher up on the wall.” She traced a finger through the dark fluid, leaving a streak. “No struggle. No defensive wounds. The victim was standing when attacked. But why here? Why now?” Eva knelt beside her, peering closely at the blood. “Maybe he was pushed? Or fell?” She pulled a small, leather-bound notebook from her satchel, flipping it open. “I’ve been researching the Veil Market’s recent activity. There’s been talk of a new dealer, someone dealing in… potent substances. Maybe this is a hit?” “A hit?” Harlow snorted. “This isn’t a street execution. Look at the wound.” She pointed to the blade still lodged in the sternum. “It’s not a common knife. Too long, too thin. And the angle… it’s almost surgical.” She stood, brushing dirt from her trousers. “No, this is personal. Or ritualistic. Something else is missing.” She walked towards the platform’s center, her military boots echoing on the concrete. Eva followed, her satchel swaying. “Ritualistic?” Eva’s brow furrowed. “But there’s no sign of a ritual circle, no symbols drawn in blood or chalk.” “Not necessarily,” Harlow countered, stopping abruptly. “Look up.” She pointed towards the ceiling, where a thick web of exposed pipes and wires hung like skeletal fingers. “The blood spatter pattern on the wall above the body. It’s not just splatter; it’s a spray pattern, like something was thrown upwards. But the victim was standing. How?” “Maybe he was thrown?” Eva suggested, her voice rising slightly. “Or pushed?” “Not likely,” Harlow said, her gaze fixed on a particular pipe. “The spatter is too high, too dispersed. And there’s something else.” She knelt again, this time examining the concrete floor near the body’s feet. “Dirt. Fresh dirt. Not just the usual grime. Look.” She scraped at the surface with a fingernail, revealing a darker, grittier layer beneath the surface grime. “This wasn’t here yesterday. Or the day before. Someone dug here recently.” “But why?” Eva asked, her flashlight beam dancing across the platform. “What’s buried under the Tube?” “I don’t know,” Harlow admitted, standing again. “But it’s connected. The dirt, the spatter, the clean wound… it’s not adding up. This wasn’t a simple murder. It’s a message. Or a warning.” She pulled her worn leather watch from her wrist, checking the time. “We need to get this to forensics, but first…” She reached into her own satchel, pulling out a small, brass compass. It was the Veil Compass, its face etched with protective sigils and a patina of verdigris. She flipped it open, the needle swinging wildly before settling, pointing towards the platform’s center. “The compass is pointing… here,” Harlow stated, her voice low. “Towards the dirt. Towards something buried. Something supernatural. The Veil Market isn’t just a black market; it’s a gateway. And whoever did this knows it. They’re marking their territory, or hiding something they don’t want found.” She snapped the compass shut, tucking it away. “We’re dealing with something older than the Tube. Something that doesn’t play by the rules. And whoever killed him… they’re not done yet.” Her sharp gaze swept the shadows of the abandoned platform, the weight of her partner’s death three years ago pressing down on her shoulders. The Veil Market had claimed another life, and Harlow Quinn was determined to uncover the truth, no matter how deep the shadows ran.
created_at"2026-02-17T09:46:01.33713+00:00" 2/17/2026, 9:46:01 AM
model"arcee-ai/trinity-mini-20251201"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency102
moderation_latency(null)
generation_time10283
tokens_prompt923
tokens_completion1969
native_tokens_prompt811
native_tokens_completion1601
native_tokens_completion_images(null)
native_tokens_reasoning642
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"
usage0.000276645
router(null)
provider_responses
0
id"4dc23179ff1b4884989f99f14206337f"
status200
is_byokfalse
latency101
endpoint_id"73d82c49-90ae-4223-a860-83ed0810821f"
provider_name"Clarifai"
model_permaslug"arcee-ai/trinity-mini-20251201"
api_type"completions"
id"gen-1771321550-vwpC1IaHYFudfZaoMyu7"
upstream_id"4dc23179ff1b4884989f99f14206337f"
total_cost0.000276645
cache_discount(null)
upstream_inference_cost0
provider_name"Clarifai"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags22
adverbTagCount1
adverbTags
0"She knelt again [again]"
dialogueSentences32
tagDensity0.688
leniency1
rawRatio0.045
effectiveRatio0.045
93.81% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount808
totalAiIsmAdverbs1
found
0
adverb"slightly"
count1
highlights
0"slightly"
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)
25.74% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount808
totalAiIsms12
found
0
word"scanning"
count1
1
word"gloom"
count2
2
word"tinged"
count1
3
word"apprehension"
count1
4
word"traced"
count1
5
word"echoing"
count1
6
word"furrowed"
count1
7
word"dancing"
count1
8
word"etched"
count1
9
word"weight"
count1
10
word"determined"
count1
highlights
0"scanning"
1"gloom"
2"tinged"
3"apprehension"
4"traced"
5"echoing"
6"furrowed"
7"dancing"
8"etched"
9"weight"
10"determined"
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
narrationSentences38
matches(empty)
67.67% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences38
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences47
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen47
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords806
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions9
unquotedAttributions0
matches(empty)
57.02% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions31
wordCount484
uniqueNames11
maxNameDensity1.86
worstName"Harlow"
maxWindowNameDensity3
worstWindowName"Eva"
discoveredNames
Veil3
Market2
Camden1
Northern1
Line1
Harlow9
Quinn2
Tube1
Kowalski1
Eva9
Compass1
persons
0"Market"
1"Camden"
2"Harlow"
3"Quinn"
4"Kowalski"
5"Eva"
6"Compass"
places(empty)
globalScore0.57
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences32
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount806
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences47
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs13
mean62
std35.85
cv0.578
sampleLengths
0126
120
279
361
452
555
637
755
812
973
1016
1196
12124
77.56% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences38
matches
0"was pulled"
1"was hushed"
2"was determined"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs84
matches(empty)
21.28% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount2
flaggedSentences2
totalSentences47
ratio0.043
matches
0"“The blood spatter pattern on the wall above the body. It’s not just splatter; it’s a spray pattern, like something was thrown upwards. But the victim was standing. How?”"
1"“Towards the dirt. Towards something buried. Something supernatural. The Veil Market isn’t just a black market; it’s a gateway. And whoever did this knows it. They’re marking their territory, or hiding something they don’t want found.” She snapped the compass shut, tucking it away."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount486
adjectiveStacks1
stackExamples
0"small, leather-bound notebook"
adverbCount15
adverbRatio0.030864197530864196
lyAdverbCount8
lyAdverbRatio0.01646090534979424
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences47
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences47
mean17.15
std10.46
cv0.61
sampleLengths
030
128
29
325
417
517
616
74
89
931
1013
1115
1211
1310
1435
1516
169
1718
1825
194
2019
2122
2210
2313
245
254
2615
276
2820
2929
3010
312
3211
3324
3426
3512
3611
375
387
3937
4021
4116
4215
4310
4444
4547
4623
77.30% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.48936170212765956
totalSentences47
uniqueOpeners23
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences37
matches(empty)
ratio0
36.22% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount17
totalSentences37
matches
0"Her sharp jawline was set,"
1"She clutched a worn leather"
2"She gestured towards the far"
3"She traced a finger through"
4"She pulled a small, leather-bound"
5"She pointed to the blade"
6"She stood, brushing dirt from"
7"She walked towards the platform’s"
8"She pointed towards the ceiling,"
9"She knelt again, this time"
10"She scraped at the surface"
11"She pulled her worn leather"
12"She reached into her own"
13"It was the Veil Compass,"
14"She flipped it open, the"
15"She snapped the compass shut,"
16"Her sharp gaze swept the"
ratio0.459
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount37
totalSentences37
matches
0"The Veil Market’s entrance wasa"
1"Detective Harlow Quinn’s worn leather"
2"Her sharp jawline was set,"
3"Eva Kowalski, her childhood friend"
4"Eva’s curly red hair was"
5"She clutched a worn leather"
6"Eva’s voice was hushed, tinged"
7"Harlow confirmed, her voice low"
8"She gestured towards the far"
9"A man in a cheap"
10"A single, precise stab wound"
11"Blood had pooled around him,"
12"Harlow continued, crouching beside the"
13"She traced a finger through"
14"Eva knelt beside her, peering"
15"She pulled a small, leather-bound"
16"She pointed to the blade"
17"She stood, brushing dirt from"
18"She walked towards the platform’s"
19"Eva followed, her satchel swaying."
ratio1
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences37
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences12
technicalSentenceCount0
matches(empty)
34.09% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags22
uselessAdditionCount4
matches
0"Harlow confirmed, her voice low and gravelly"
1"Eva suggested, her voice rising slightly"
2"She knelt again, this time examining the concrete floor near the body’s feet"
3"Harlow stated, her voice low"
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags8
fancyCount6
fancyTags
0"Harlow confirmed (confirm)"
1"Harlow continued (continue)"
2"Eva suggested (suggest)"
3"Harlow admitted (admit)"
4"Harlow stated (state)"
5"She snapped (snap)"
dialogueSentences32
tagDensity0.25
leniency0.5
rawRatio0.75
effectiveRatio0.375
72.8233%