Run: 2026-02-19-01KHT03ERXH3T3S5DB18CASP9C

Run Details

Duration:
6.7s
Cost:
$0.000255
Provider:
Clarifai

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
Detective Harlow Quinn’s boots scuffed the damp concrete of the abandoned Tube station, the echo bouncing off peeling posters and the faint, metallic tang of decay. Her gaze swept the scene: a single overturned chair, a discarded notebook half-buried in grime, and a pool of congealed blood that seemed unnaturally still. The air hummed with a low, unnatural vibration she couldn’t place. Her partner, DS Morris, stood rigid beside a flickering overhead light, his face pale beneath the harsh glare. “Looks like a standard domestic gone wrong,” Morris muttered, his voice tight. “Woman found dead in her flat. Husband’s the prime suspect. Found him passed out in the kitchen, smelling of gin and guilt.” He gestured vaguely at the notebook. “She was writing something... frantic. Pages torn out.” Quinn’s eyes narrowed. The blood wasn’t pooling correctly. It clung to the floor like dried tar, not spreading. And the chair—it was positioned as if someone had deliberately pushed it over, not knocked it down in a struggle. “Where’s the body?” she asked, her voice low. “In the bedroom. DS Evans is bagging it now.” Morris shifted uncomfortably. “The husband’s got a solid alibi. He was at the pub, saw the whole thing on the news. Claims she was writing about some ‘shadowy figure’ before he came home.” Quinn’s hand drifted to her left wrist, where her worn leather watch ticked steadily. She’d seen too many cases where the obvious answer was a trap. “Show me the bedroom,” she said, her voice devoid of emotion. The bedroom was smaller, the air thicker with the same oppressive hum. The body lay on the bed, face down, the sheet pulled up to the chin. Quinn knelt, her fingers brushing the cold fabric. The victim’s hair was matted, one strand caught on the headboard. She noticed the faint, almost invisible sigil etched into the wood—a symbol she’d seen in the restricted archives Eva Kowalski accessed. “This isn’t domestic,” she murmured. “This is ritual.” Morris frowned, stepping closer. “Ritual? The husband’s a plumber. He’s got no interest in occult nonsense.” “Then why the sigil?” Quinn countered, her eyes scanning the room. “Why the torn pages? And why is the blood... static?” She pointed at the congealed pool. “It’s not blood. It’s something else. Something that dried instantly.” “What else could it be?” Morris demanded, his voice rising. “You’re seeing things, Quinn. You’ve been off since Morris.” Quinn straightened, her sharp jawline set. “I’m seeing the truth. And the truth is hiding in plain sight.” She pulled her satchel from her shoulder, rummaging through it. “Where’s Eva?” “She’s on her way. Said she’d meet us here. Found something in the archives about a local occult group called the Veil.” Morris’s eyes darted to the sigil again. “The Veil? That’s just a myth, right?” “Myth or not,” Quinn replied, her gaze fixed on the ceiling, “someone’s using it. And they’re leaving signs.” She extracted a small, brass compass from her bag, its face etched with protective sigils. “This,” she said, holding it up, “points to supernatural energy. To rifts. To portals.” She activated the compass. The needle didn’t spin; it trembled violently, then settled, pointing towards a loose floorboard near the bed. Quinn pried it up, revealing a small, velvet-lined box. Inside lay a bone token, polished smooth. “The Veil Market’s entry requirement,” she explained, her voice tight. “Bone token. This victim was trying to enter. Or someone was trying to stop her.” Morris stared at the token, then at the sigil, then at Quinn. “So... the husband didn’t do it?” “No,” Quinn said, her eyes never leaving the compass. “The husband is a pawn. The real killer is someone who knows the Veil. Someone who uses it. And they’re not done yet.” She tucked the compass away, her mind racing. “Get Evans. We need to secure this scene. And call for backup. This is bigger than we thought.” She turned, her military bearing snapping into focus, ready to face whatever lurked in the shadows of the Veil Market.
created_at"2026-02-19T03:46:36.46Z" 2/19/2026, 3:46:36 AM
model"arcee-ai/trinity-mini-20251201"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency177
moderation_latency(null)
generation_time6571
tokens_prompt1149
tokens_completion1712
native_tokens_prompt973
native_tokens_completion1409
native_tokens_completion_images(null)
native_tokens_reasoning612
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"
usage0.000255135
router(null)
provider_responses
0
endpoint_id"73d82c49-90ae-4223-a860-83ed0810821f"
id"6dd2996cb0904a459fc9a3b74e04836f"
is_byokfalse
latency177
model_permaslug"arcee-ai/trinity-mini-20251201"
provider_name"Clarifai"
status200
api_type"completions"
id"gen-1771472796-sMBmtGe2EXIOHrhOpkJA"
upstream_id"6dd2996cb0904a459fc9a3b74e04836f"
total_cost0.000255135
cache_discount(null)
upstream_inference_cost0
provider_name"Clarifai"

Evaluation details

Result Evaluator Details Meta Data
82.35% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags17
adverbTagCount2
adverbTags
0"He gestured vaguely [vaguely]"
1"Morris shifted uncomfortably [uncomfortably]"
dialogueSentences27
tagDensity0.63
leniency1
rawRatio0.118
effectiveRatio0.118
92.59% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount675
totalAiIsmAdverbs1
found
0
adverb"deliberately"
count1
highlights
0"deliberately"
80.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found
0"Evans"
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
25.93% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount675
totalAiIsms10
found
0
word"echo"
count1
1
word"standard"
count1
2
word"oppressive"
count1
3
word"etched"
count2
4
word"scanning"
count1
5
word"trembled"
count1
6
word"velvet"
count1
7
word"pawn"
count1
8
word"racing"
count1
highlights
0"echo"
1"standard"
2"oppressive"
3"etched"
4"scanning"
5"trembled"
6"velvet"
7"pawn"
8"racing"
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
narrationSentences39
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences39
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences49
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen38
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords671
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions9
unquotedAttributions0
matches(empty)
25.62% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions23
wordCount402
uniqueNames8
maxNameDensity2.49
worstName"Quinn"
maxWindowNameDensity3.5
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn10
Tube1
Morris7
Eva1
Kowalski1
Veil1
Market1
persons
0"Harlow"
1"Quinn"
2"Morris"
3"Eva"
4"Kowalski"
places(empty)
globalScore0.256
windowScore0.5
60.71% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences28
glossingSentenceCount1
matches
0"seemed unnaturally still"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount671
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences49
matches(empty)
87.05% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs15
mean44.73
std20.34
cv0.455
sampleLengths
080
148
246
342
437
575
616
737
819
930
1036
1147
1262
1318
1478
87.27% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences39
matches
0"was positioned"
1"was matted"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs81
matches
0"wasn’t pooling"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount1
flaggedSentences3
totalSentences49
ratio0.061
matches
0"And the chair—it was positioned as if someone had deliberately pushed it over, not knocked it down in a struggle."
1"She noticed the faint, almost invisible sigil etched into the wood—a symbol she’d seen in the restricted archives Eva Kowalski accessed."
2"The needle didn’t spin; it trembled violently, then settled, pointing towards a loose floorboard near the bed."
90.21% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount406
adjectiveStacks1
stackExamples
0"small, velvet-lined box."
adverbCount18
adverbRatio0.04433497536945813
lyAdverbCount7
lyAdverbRatio0.017241379310344827
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences49
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences49
mean13.69
std8.6
cv0.628
sampleLengths
026
125
211
318
412
528
68
73
85
910
1020
118
1212
1330
1414
1512
1611
1712
1815
198
2011
2121
225
233
244
2512
2611
2716
2810
2910
309
316
3222
332
3429
357
3633
3714
384
3917
409
417
4210
4315
4412
456
469
4731
4838
84.35% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.5306122448979592
totalSentences49
uniqueOpeners26
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences38
matches(empty)
ratio0
62.11% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount15
totalSentences38
matches
0"Her gaze swept the scene:"
1"Her partner, DS Morris, stood"
2"He gestured vaguely at the"
3"It clung to the floor"
4"she asked, her voice low"
5"She’d seen too many cases"
6"she said, her voice devoid"
7"She noticed the faint, almost"
8"She pointed at the congealed"
9"She pulled her satchel from"
10"she said, holding it up"
11"She activated the compass."
12"she explained, her voice tight"
13"She tucked the compass away,"
14"She turned, her military bearing"
ratio0.395
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount36
totalSentences38
matches
0"Detective Harlow Quinn’s boots scuffed"
1"Her gaze swept the scene:"
2"The air hummed with a"
3"Her partner, DS Morris, stood"
4"Morris muttered, his voice tight"
5"He gestured vaguely at the"
6"Quinn’s eyes narrowed."
7"The blood wasn’t pooling correctly."
8"It clung to the floor"
9"she asked, her voice low"
10"Morris shifted uncomfortably"
11"Quinn’s hand drifted to her"
12"She’d seen too many cases"
13"she said, her voice devoid"
14"The bedroom was smaller, the"
15"The body lay on the"
16"Quinn knelt, her fingers brushing"
17"The victim’s hair was matted,"
18"She noticed the faint, almost"
19"Morris frowned, stepping closer."
ratio0.947
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences38
matches(empty)
ratio0
95.24% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences15
technicalSentenceCount1
matches
0"Her gaze swept the scene: a single overturned chair, a discarded notebook half-buried in grime, and a pool of congealed blood that seemed unnaturally still."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags17
uselessAdditionCount7
matches
0"Morris muttered, his voice tight"
1"she asked, her voice low"
2"she said, her voice devoid of emotion"
3"Quinn countered, her eyes scanning the room"
4"Morris demanded, his voice rising"
5"she explained, her voice tight"
6"She tucked, her mind racing"
1.85% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags9
fancyCount4
fancyTags
0"Morris muttered (mutter)"
1"she murmured (murmur)"
2"Morris demanded (demand)"
3"she explained (explain)"
dialogueSentences27
tagDensity0.333
leniency0.667
rawRatio0.444
effectiveRatio0.296
69.1760%