Run: 2026-02-19-01KHTXB8BQ2D4NT84KKTJVM204

Run Details

Duration:
7.2s
Cost:
$0.000217
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 Quinn’s boots echoed on the damp concrete of the abandoned Tube station. The air hung thick with the scent of damp earth and something metallic, like old blood. Her eyes, sharp and brown, swept the scene with practiced precision. DS Morris’s partner, she’d learned to trust her gut over the official narrative. Here, the official narrative was a lie. Eva Kowalski knelt beside a discarded leather satchel, her red curls escaping a loose braid. She wore round glasses perched on her nose, her freckled cheeks flushed with concentration. "The victim was strangled," Eva stated, her voice low. "But the ligature marks... they’re inconsistent. Too high on the neck, almost like..." She trailed off, tracing the faint, irregular bruising with a gloved finger. Quinn crouched beside her, her military bearing rigid. "Inconsistent how?" she asked, her voice devoid of emotion. Eva straightened, pushing her glasses up her nose. "The pressure points. The victim was left-handed. The killer was right-handed. The marks suggest a struggle, but the positioning... it’s almost as if the killer was trying to mimic a specific method, but failed." She gestured at the scattered papers on the ground. "These are alchemical formulas. Banned substances. The victim was researching something dangerous." Quinn’s brow furrowed. "Dangerous how?" Eva picked up a crumpled page, smoothing it out. "Something about binding spirits. The victim was close to uncovering a method to open a rift. The police report says it was a robbery gone wrong. But look at this." She pointed to a symbol etched into the margin. "That’s a Veil Market sigil. The bone token entry requirement. The victim had one." Quinn’s eyes narrowed. "The Veil Market. Again." She scanned the shadows of the crumbling platform. "Where’s the body?" Eva’s nervous habit flared. She tucked a strand of red hair behind her left ear. "Gone. Disappeared. Like the others." She met Quinn’s gaze. "The police think it’s a serial killer. I think it’s something else. Something supernatural." Quinn’s hand drifted to her left wrist, where her worn leather watch rested. "Something supernatural," she repeated, her voice tight. "And you’re sure?" Eva nodded, her green eyes intense. "The patterns. The missing bodies. The symbols. It’s not human. It’s... organized. Like a ritual." Quinn stood, her gaze sweeping the empty platform. "A ritual for what? Opening a rift? Or closing one?" She bent down, her fingers brushing the cold concrete. "The victim was close. Very close. But someone stopped them. Or helped them." She straightened, her sharp jawline set. "We need to find the Compass. The Veil Compass. It points to rifts." Eva’s eyes widened. "You think the Compass is involved?" Quinn’s stare was unwavering. "I think the Compass is missing. And whoever took it knows exactly where to look." She turned, her footsteps echoing as she moved deeper into the station’s gloom. "Start with the victim’s apartment. Check for the Compass. Check for the bone token. Check for anything that doesn’t fit." She paused at the entrance, her voice dropping to a whisper. "And Quinn? Be careful. This isn’t just a killer. This is something old. Something hungry." She vanished into the tunnel, leaving Eva alone with the chilling silence and the weight of unspoken dread.
created_at"2026-02-19T12:17:40.731Z" 2/19/2026, 12:17:40 PM
model"arcee-ai/trinity-mini-20251201"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency131
moderation_latency(null)
generation_time7176
tokens_prompt1149
tokens_completion1409
native_tokens_prompt973
native_tokens_completion1156
native_tokens_completion_images(null)
native_tokens_reasoning542
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"
usage0.000217185
router(null)
provider_responses
0
endpoint_id"73d82c49-90ae-4223-a860-83ed0810821f"
id"706a92a06cb2483db71de1339f6bd5a0"
is_byokfalse
latency131
model_permaslug"arcee-ai/trinity-mini-20251201"
provider_name"Clarifai"
status200
api_type"completions"
id"gen-1771503460-tPACRFeW0azHFL4Y1KTq"
upstream_id"706a92a06cb2483db71de1339f6bd5a0"
total_cost0.000217185
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
totalTags13
adverbTagCount0
adverbTags(empty)
dialogueSentences22
tagDensity0.591
leniency1
rawRatio0
effectiveRatio0
90.67% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount536
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)
0.00% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount536
totalAiIsms14
found
0
word"echoed"
count1
1
word"tracing"
count1
2
word"furrowed"
count1
3
word"etched"
count1
4
word"scanned"
count1
5
word"unwavering"
count1
6
word"footsteps"
count1
7
word"echoing"
count1
8
word"gloom"
count1
9
word"whisper"
count1
10
word"chilling"
count1
11
word"silence"
count1
12
word"weight"
count1
13
word"unspoken"
count1
highlights
0"echoed"
1"tracing"
2"furrowed"
3"etched"
4"scanned"
5"unwavering"
6"footsteps"
7"echoing"
8"gloom"
9"whisper"
10"chilling"
11"silence"
12"weight"
13"unspoken"
66.67% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches2
maxInWindow2
found
0
label"eyes widened/narrowed"
count2
highlights
0"eyes narrowed"
1"eyes widened"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences32
matches(empty)
98.21% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences32
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences41
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen45
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords534
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
9.65% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions19
wordCount285
uniqueNames5
maxNameDensity2.81
worstName"Quinn"
maxWindowNameDensity3.5
worstWindowName"Quinn"
discoveredNames
Quinn8
Tube1
Morris1
Kowalski1
Eva8
persons
0"Quinn"
1"Morris"
2"Kowalski"
3"Eva"
places(empty)
globalScore0.096
windowScore0.5
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences24
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount534
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences41
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs13
mean41.08
std26.71
cv0.65
sampleLengths
060
163
217
363
45
562
618
738
823
921
1059
119
1296
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences32
matches(empty)
78.79% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs55
matches
0"was unwavering"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences41
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount285
adjectiveStacks0
stackExamples(empty)
adverbCount0
adverbRatio0
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences41
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences41
mean13.02
std9.71
cv0.745
sampleLengths
013
116
211
313
47
515
614
79
825
98
109
118
1243
1312
143
152
169
1739
1814
193
2012
213
224
2311
249
2514
2613
277
283
296
3015
318
3219
3319
3413
353
366
374
3828
3931
4033
89.43% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats0
diversityRatio0.5365853658536586
totalSentences41
uniqueOpeners22
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences32
matches(empty)
ratio0
32.50% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount15
totalSentences32
matches
0"Her eyes, sharp and brown,"
1"She wore round glasses perched"
2"She trailed off, tracing the"
3"she asked, her voice devoid"
4"She gestured at the scattered"
5"She pointed to a symbol"
6"She scanned the shadows of"
7"She tucked a strand of"
8"She met Quinn’s gaze"
9"she repeated, her voice tight"
10"She bent down, her fingers"
11"She straightened, her sharp jawline"
12"She turned, her footsteps echoing"
13"She paused at the entrance,"
14"She vanished into the tunnel,"
ratio0.469
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount32
totalSentences32
matches
0"Detective Quinn’s boots echoed on"
1"The air hung thick with"
2"Her eyes, sharp and brown,"
3"DS Morris’s partner, she’d learned"
4"Here, the official narrative was"
5"Eva Kowalski knelt beside a"
6"She wore round glasses perched"
7"Eva stated, her voice low"
8"She trailed off, tracing the"
9"Quinn crouched beside her, her"
10"she asked, her voice devoid"
11"Eva straightened, pushing her glasses"
12"She gestured at the scattered"
13"Quinn’s brow furrowed."
14"Eva picked up a crumpled"
15"She pointed to a symbol"
16"Quinn’s eyes narrowed."
17"She scanned the shadows of"
18"Eva’s nervous habit flared."
19"She tucked a strand of"
ratio1
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences32
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences8
technicalSentenceCount0
matches(empty)
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags13
uselessAdditionCount5
matches
0"Eva stated, her voice low"
1"she asked, her voice devoid of emotion"
2"she repeated, her voice tight"
3"She bent down, her fingers brushing the cold concrete"
4"She paused, her voice dropping to a whisper"
59.09% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount2
fancyTags
0"Eva stated (state)"
1"she repeated (repeat)"
dialogueSentences22
tagDensity0.136
leniency0.273
rawRatio0.667
effectiveRatio0.182
74.1670%