Run: 2026-02-19-01KHTX1T9WD59S6Y86R1DY1WXX

Run Details

Duration:
10.6s
Cost:
$0.000356
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="4417" name="Tomás Herrera" aliases="Tommy, Tomás, Herrera" pronouns="he/him" species="Human" storyRole="Support"> <eyeColor>warm brown</eyeColor> <hair>short curly dark brown</hair> <height>5'10"</height> <age>29</age> <skinTone>olive skin</skinTone> <scar>scar running along his left forearm from a knife attack</scar> <medallion>Saint Christopher medallion around his neck</medallion> <birthplace>Seville, Spain</birthplace> <description>A former paramedic who provides off-the-books medical care for the clique.</description> <backstory>Born in Seville, Spain. He moved to London to work for the NHS but lost his license after administering unauthorized treatments to supernatural patients.</backstory> </character> <location id="854" name="The Raven's Nest" aliases="the Nest, Raven, Silas' bar" realm="Earth"> <signColor>distinctive green neon sign above the entrance</signColor> <secretRoom>hidden back room accessible through a bookshelf, used for clandestine meetings</secretRoom> <description>A dimly lit bar in Soho, London. The walls are covered with old maps and black-and-white photographs.</description> </location> <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> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the thriller genre. A detective is pursuing a suspect through rain-soaked city streets at night. The chase takes them from the street level down into an underground market. The detective must decide whether to follow the suspect into unfamiliar and potentially dangerous territory. 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 breath fogged the windshield of her unmarked police cruiser as she skidded to a halt on the rain-slicked pavement of Soho. The black sedan she’d been tailing—a sleek, menacing silhouette against the neon glow of the Raven’s Nest—had just vanished around the corner. Her heart hammered against her ribs, a frantic rhythm matching the drumming rain. She’d lost him. Again. She slammed the door, the metallic clang echoing in the deserted street. The detective’s gaze swept the alley behind the bar, her sharp jawline set in a grim line. No sign of the sedan. No sign of the suspect. Only the slick cobblestones and the oppressive silence of the night. She’d been close this time. Too close. The man had slipped through her fingers like water, and the memory of her partner’s death three years ago—a case gone sideways, supernatural whispers she still couldn’t explain—loomed like a specter. This wasn’t just about catching a criminal; it was about proving something, anything, to silence the ghosts. A flicker of movement caught her eye. Not the sedan, but a shadow darting between the barrels of rain-soaked trash cans. Her hand drifted to the worn leather watch on her left wrist, the second hand ticking with relentless urgency. She’d been chasing him for hours, through the labyrinthine streets of London, and every lead had evaporated like steam. But this shadow… it moved with purpose, a predator slipping into cover. Quinn’s instincts, honed by eighteen years of service, screamed at her to follow. The risk was immense—unfamiliar territory, potential danger—but the alternative was letting him vanish again. She couldn’t afford that. She pulled her coat tighter, the fabric clinging to her skin. The rain had turned the city into a monochrome nightmare, the neon signs of Soho reflecting in the puddles like fractured mirrors. The Raven’s Nest loomed ahead, its distinctive green neon sign a beacon in the gloom. She’d seen him enter there earlier, a man with a scar running along his left forearm—a detail she’d noted in her mental dossier. The bar was a known haunt for the clique, a place where secrets bled into the shadows. Quinn had a warrant for his arrest, but getting inside the Raven’s Nest was only half the battle. The real danger lay beyond, in the hidden room accessible through a bookshelf, a place for clandestine meetings that Quinn had never been able to breach. She approached the bar’s entrance, the sound of muffled jazz and low conversation drifting out. The detective’s knuckles whitened as she pressed her ear against the door. Silence. She pushed it open, the bell jingling sharply. Inside, the air was thick with the smell of stale beer and damp wool. The walls were lined with old maps and black-and-white photographs, the atmosphere thick with history and secrets. Quinn’s eyes scanned the room, her gaze sharp and calculating. The suspect wasn’t here. He’d vanished again. A voice, low and smooth, cut through the ambient noise. “Detective Quinn. To what do I owe the pleasure?” The speaker leaned against the bar, a man in a tailored trench coat, his face obscured by the low light. Quinn’s hand slipped to her holster, but she kept her voice steady. “Where is he?” The man’s eyes, warm brown and unreadable, met hers. “The man you seek? He’s gone. Like smoke in the rain.” Quinn’s grip tightened on her weapon. “He was here. Just moments ago.” The man shrugged, a ghost of a smile playing on his lips. “The night is full of shadows, Detective. Some are deeper than others.” He turned to leave, but Quinn’s hand shot out, stopping him. “Tell me where he went.” The man’s gaze flickered to the bookshelf behind the bar. “That way. But be warned, Detective. The path you choose is treacherous.” He vanished into the crowd, leaving Quinn alone with the weight of his words. The bookshelf. The hidden room. Quinn’s pulse raced. The risk was immense—unfamiliar territory, potential danger—but the alternative was letting him vanish again. She couldn’t afford that. She moved towards the bookshelf, her movements precise, military precision. The shelves were lined with dusty tomes and faded maps. She pushed aside a volume on Victorian London, revealing a hidden panel. Behind it, a narrow staircase descended into darkness. Quinn took a deep breath, the smell of damp stone and old paper filling her nostrils. She stepped into the shadows, the door closing silently behind her. The hunt continued.
created_at"2026-02-19T12:12:31.623Z" 2/19/2026, 12:12:31 PM
model"arcee-ai/trinity-mini-20251201"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency316
moderation_latency(null)
generation_time10313
tokens_prompt1140
tokens_completion2487
native_tokens_prompt949
native_tokens_completion2088
native_tokens_completion_images(null)
native_tokens_reasoning1321
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"
usage0.000355905
router(null)
provider_responses
0
endpoint_id"73d82c49-90ae-4223-a860-83ed0810821f"
id"41302a8ebb8d474bb57bdc12e8e2dc11"
is_byokfalse
latency316
model_permaslug"arcee-ai/trinity-mini-20251201"
provider_name"Clarifai"
status200
api_type"completions"
id"gen-1771503151-KdSq5QBIvb2kmuIxmLQL"
upstream_id"41302a8ebb8d474bb57bdc12e8e2dc11"
total_cost0.000355905
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
totalTags7
adverbTagCount0
adverbTags(empty)
dialogueSentences7
tagDensity1
leniency1
rawRatio0
effectiveRatio0
93.39% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount757
totalAiIsmAdverbs1
found
0
adverb"sharply"
count1
highlights
0"sharply"
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)
wordCount757
totalAiIsms23
found
0
word"echoing"
count1
1
word"oppressive"
count1
2
word"silence"
count3
3
word"loomed"
count2
4
word"flicker"
count1
5
word"predator"
count1
6
word"potential"
count2
7
word"fractured"
count1
8
word"beacon"
count1
9
word"gloom"
count1
10
word"clandestine"
count1
11
word"scanned"
count1
12
word"calculating"
count1
13
word"unreadable"
count1
14
word"flickered"
count1
15
word"treacherous"
count1
16
word"weight"
count1
17
word"pulse"
count1
18
word"raced"
count1
highlights
0"echoing"
1"oppressive"
2"silence"
3"loomed"
4"flicker"
5"predator"
6"potential"
7"fractured"
8"beacon"
9"gloom"
10"clandestine"
11"scanned"
12"calculating"
13"unreadable"
14"flickered"
15"treacherous"
16"weight"
17"pulse"
18"raced"
66.67% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches2
maxInWindow2
found
0
label"air was thick with"
count1
1
label"weight of words/silence"
count1
highlights
0"the air was thick with"
1"the weight of his words"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences60
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences60
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences60
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen33
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords744
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions6
unquotedAttributions0
matches(empty)
50.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions23
wordCount686
uniqueNames7
maxNameDensity1.6
worstName"Quinn"
maxWindowNameDensity3.5
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn11
Soho2
Raven3
Nest3
London2
Victorian1
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Nest"
places
0"Soho"
1"London"
globalScore0.698
windowScore0.5
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences44
glossingSentenceCount0
matches(empty)
65.59% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords1.344
wordCount744
matches
0"Not the sedan, but a shadow darting between the barrels of rain-soaked trash ca"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences60
matches(empty)
37.54% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs7
mean106.29
std29.91
cv0.281
sampleLengths
063
1105
2102
3132
484
5162
696
93.57% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences60
matches
0"were lined"
1"were lined"
67.99% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs101
matches
0"was letting"
1"was letting"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount9
semicolonCount1
flaggedSentences6
totalSentences60
ratio0.1
matches
0"The black sedan she’d been tailing—a sleek, menacing silhouette against the neon glow of the Raven’s Nest—had just vanished around the corner."
1"The man had slipped through her fingers like water, and the memory of her partner’s death three years ago—a case gone sideways, supernatural whispers she still couldn’t explain—loomed like a specter."
2"This wasn’t just about catching a criminal; it was about proving something, anything, to silence the ghosts."
3"The risk was immense—unfamiliar territory, potential danger—but the alternative was letting him vanish again."
4"She’d seen him enter there earlier, a man with a scar running along his left forearm—a detail she’d noted in her mental dossier."
5"The risk was immense—unfamiliar territory, potential danger—but the alternative was letting him vanish again."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount699
adjectiveStacks0
stackExamples(empty)
adverbCount17
adverbRatio0.024320457796852647
lyAdverbCount4
lyAdverbRatio0.005722460658082976
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences60
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences60
mean12.4
std7.45
cv0.6
sampleLengths
024
122
213
33
41
512
617
75
85
911
105
112
1231
1317
147
1514
1619
1719
183
199
2013
2114
224
2311
2422
2515
2623
2717
2818
2926
3015
3112
321
338
3414
3517
3610
374
383
3910
4029
4112
4212
4317
4418
4523
4615
4726
482
493
50.00% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.35
totalSentences60
uniqueOpeners21
59.52% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences56
matches
0"Only the slick cobblestones and"
ratio0.018
84.29% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount19
totalSentences56
matches
0"Her heart hammered against her"
1"She’d lost him."
2"She slammed the door, the"
3"She’d been close this time."
4"Her hand drifted to the"
5"She’d been chasing him for"
6"it moved with purpose, a"
7"She couldn’t afford that."
8"She pulled her coat tighter,"
9"She’d seen him enter there"
10"She approached the bar’s entrance,"
11"She pushed it open, the"
12"He’d vanished again."
13"He turned to leave, but"
14"He vanished into the crowd,"
15"She couldn’t afford that."
16"She moved towards the bookshelf,"
17"She pushed aside a volume"
18"She stepped into the shadows,"
ratio0.339
22.50% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount49
totalSentences56
matches
0"Detective Harlow Quinn’s breath fogged"
1"The black sedan she’d been"
2"Her heart hammered against her"
3"She’d lost him."
4"She slammed the door, the"
5"The detective’s gaze swept the"
6"She’d been close this time."
7"The man had slipped through"
8"This wasn’t just about catching"
9"A flicker of movement caught"
10"Her hand drifted to the"
11"She’d been chasing him for"
12"it moved with purpose, a"
13"Quinn’s instincts, honed by eighteen"
14"The risk was immense—unfamiliar territory,"
15"She couldn’t afford that."
16"She pulled her coat tighter,"
17"The rain had turned the"
18"The Raven’s Nest loomed ahead,"
19"She’d seen him enter there"
ratio0.875
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences56
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences33
technicalSentenceCount0
matches(empty)
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags7
uselessAdditionCount2
matches
0"The man shrugged, a ghost of a smile playing on his lips"
1"He turned, but Quinn’s hand shot out, stopping him"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
73.0352%