Run: 2026-02-19-01KHTYQ6AP3QXMMY5HX44T42ZB

Run Details

Duration:
8.8s
Cost:
$0.000283
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
Rain lashed the pavement, a cold,relentless drumbeat on the slick asphalt of Soho. Detective Harlow Quinn’s breath misted in the damp night air as she pushed herself harder, the wet collar of her trench coat flapping against her neck. Her worn leather watch ticked steadily on her left wrist, a stark contrast to the chaos around her. The suspect, Tomás Herrera, a man she’d tracked for weeks, vanished into the shadows of a narrow alley, his dark curls disappearing behind a crumbling brick wall. Quinn’s sharp jawline set, her eyes, sharp and brown, narrowed against the downpour. She’d seen his kind before – the ones who thought they could hide in the city’s underbelly. The bone token requirement for the Veil Market flashed in her mind, a detail she’d noted in her files. Herrera didn’t have one. He was desperate, reckless. That was his weakness. She didn’t hesitate. The alley opened into a narrow, rain-slicked street, the neon sign of The Raven’s Nest casting a sickly green glow on the wet pavement. Quinn’s boots splashed through a puddle, the sound echoing unnaturally loud in the night. She didn’t slow, didn’t look back. The chase was her focus, the only thing that mattered. The street ended abruptly at a crumbling brick wall, covered in peeling posters. Herrera had vanished again. Quinn pressed her back against the damp bricks, her breath coming in ragged gasps, the cold seeping through her coat. She scanned the shadows, her senses razor-sharp. Then, she saw it – a slight movement behind a stack of discarded crates near the wall’s base. Herrera was trying to climb over. Quinn moved with military precision, her body low, her movements fluid despite the exhaustion. She reached the crates just as Herrera’s boot slipped, sending him crashing back down onto the wet ground with a grunt. He scrambled, scrambling towards the wall, his olive skin pale in the dim light. “Stop right there, Herrera,” Quinn barked, her voice cutting through the rain’s roar. “You’re under arrest.” Herrera froze, his breath coming in short, sharp bursts. He looked up at her, his warm brown eyes wide with fear. “Detective,” he gasped, his voice strained. “It’s not what you think. Please, just let me explain.” Quinn raised her hand, the worn leather watch catching the faint light. “Save it. You know why I’m here.” He scrambled to his feet, his movements jerky. “I’m not the one you want. He’s the one. Silas. He’s the one pulling the strings. He’s the one who—” Before he could finish, Quinn’s hand snapped out, not to grab him, but to shove him hard against the wall. The impact made him stumble back, his hand instinctively going to his scarred forearm. “Silas?” Quinn’s voice was a low growl. “You think I don’t know who you’re protecting?” Herrera’s eyes darted towards the wall, then back to Quinn. “He’s dangerous, Detective. He’s not human. He’s—” “Silas is human,” Quinn cut him off, her gaze piercing. “Or he was. Now, where is he?” Herrera’s eyes flicked towards the Raven’s Nest sign, then back to Quinn. “He’s not here. He’s—” “He’s not here,” Quinn finished for him, her voice cold. “Then where? Tell me, Herrera, or I swear to God, I’ll make this hurt.” He hesitated, then pointed a trembling finger towards the wall. “Through there. The secret room. He’s meeting someone. Someone important.” Quinn’s gaze followed his finger, landing on the crumbling bricks. “The secret room,” she murmured. “The one everyone says is just a myth.” Herrera nodded, his medallion glinting weakly in the green light. “He’s waiting. He knows you’re coming.” Quinn took a step towards the wall, her mind racing. The bone token. She didn’t have one. Herrera didn’t either. How did they get in? Was this a trap? Her partner’s death echoed in her mind, a constant reminder of the supernatural forces she was dealing with. She couldn’t let her guard down. “You coming, Detective?” Herrera’s voice was barely a whisper, laced with a strange urgency. Quinn looked at him, then at the wall. The rain continued to fall, washing the city streets clean. The choice was hers. Follow him into the unknown, or let him slip away again. The bone token requirement flashed in her mind. She didn’t have one. But she didn’t need one. Not if she was smart. “Lead the way,” she said, her voice firm, the weight of her decision settling on her shoulders. “But keep your hands where I can see them. And don’t try anything stupid.” Herrera’s eyes widened, a flicker of surprise crossing his face. “You’re coming in?” “I’m coming in,” Quinn confirmed, her gaze fixed on the wall. “Now move.” She turned her back on the rain-slicked street, her trench coat billowing slightly, and stepped towards the crumbling bricks, ready to face whatever lay beyond the secret door. The Veil Market awaited.
created_at"2026-02-19T12:41:40.445Z" 2/19/2026, 12:41:40 PM
model"arcee-ai/trinity-mini-20251201"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency125
moderation_latency(null)
generation_time8587
tokens_prompt1140
tokens_completion1926
native_tokens_prompt949
native_tokens_completion1600
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"
usage0.000282705
router(null)
provider_responses
0
endpoint_id"73d82c49-90ae-4223-a860-83ed0810821f"
id"94b864420cf1401bba57fd920d9e7067"
is_byokfalse
latency125
model_permaslug"arcee-ai/trinity-mini-20251201"
provider_name"Clarifai"
status200
api_type"completions"
id"gen-1771504900-Yr4k6iZ3k607dzvqnGhK"
upstream_id"94b864420cf1401bba57fd920d9e7067"
total_cost0.000282705
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
totalTags8
adverbTagCount0
adverbTags(empty)
dialogueSentences24
tagDensity0.333
leniency0.667
rawRatio0
effectiveRatio0
93.85% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount813
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)
32.35% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount813
totalAiIsms11
found
0
word"stark"
count1
1
word"echoing"
count1
2
word"scanned"
count1
3
word"flicked"
count1
4
word"glinting"
count1
5
word"racing"
count1
6
word"echoed"
count1
7
word"reminder"
count1
8
word"whisper"
count1
9
word"weight"
count1
10
word"flicker"
count1
highlights
0"stark"
1"echoing"
2"scanned"
3"flicked"
4"glinting"
5"racing"
6"echoed"
7"reminder"
8"whisper"
9"weight"
10"flicker"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes widened"
85.32% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells3
narrationSentences63
matches
0"was desperate"
1"e with fear"
2"a flicker of surprise"
97.51% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences63
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences78
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen29
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords812
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions9
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions40
wordCount665
uniqueNames9
maxNameDensity2.56
worstName"Quinn"
maxWindowNameDensity5
worstWindowName"Quinn"
discoveredNames
Soho1
Harlow1
Quinn17
Tomás1
Herrera12
Veil2
Market2
Raven2
Nest2
persons
0"Harlow"
1"Quinn"
2"Tomás"
3"Herrera"
4"Market"
5"Raven"
places
0"Soho"
globalScore0.222
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences46
glossingSentenceCount0
matches(empty)
76.85% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords1.232
wordCount812
matches
0"not to grab him, but to shove him hard against the wall"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences78
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs24
mean33.83
std20.1
cv0.594
sampleLengths
084
161
257
368
449
516
637
719
828
949
1017
1117
1216
1324
1420
1523
1616
1753
1814
1955
2031
2113
2213
2332
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences63
matches(empty)
83.04% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs114
matches
0"was trying"
1"was dealing"
69.60% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount0
flaggedSentences2
totalSentences78
ratio0.026
matches
0"She’d seen his kind before – the ones who thought they could hide in the city’s underbelly."
1"Then, she saw it – a slight movement behind a stack of discarded crates near the wall’s base."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount666
adjectiveStacks1
stackExamples
0"narrow, rain-slicked street,"
adverbCount16
adverbRatio0.024024024024024024
lyAdverbCount10
lyAdverbRatio0.015015015015015015
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences78
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences78
mean10.41
std6.12
cv0.588
sampleLengths
013
126
218
327
413
517
619
74
84
94
103
1124
1214
136
1410
1513
164
1720
187
1918
206
2114
2221
2314
2413
253
269
2712
286
2910
3012
317
328
3320
3420
3514
367
378
3810
397
4010
417
4212
434
4410
4514
4610
4710
4810
495
50.43% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.3333333333333333
totalSentences78
uniqueOpeners26
53.76% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences62
matches
0"Then, she saw it –"
ratio0.016
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount18
totalSentences62
matches
0"Her worn leather watch ticked"
1"She’d seen his kind before"
2"He was desperate, reckless."
3"She didn’t hesitate."
4"She didn’t slow, didn’t look"
5"She scanned the shadows, her"
6"She reached the crates just"
7"He scrambled, scrambling towards the"
8"He looked up at her,"
9"he gasped, his voice strained"
10"He scrambled to his feet,"
11"He hesitated, then pointed a"
12"She didn’t have one."
13"Her partner’s death echoed in"
14"She couldn’t let her guard"
15"She didn’t have one."
16"she said, her voice firm,"
17"She turned her back on"
ratio0.29
16.45% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount55
totalSentences62
matches
0"Rain lashed the pavement, a"
1"Detective Harlow Quinn’s breath misted"
2"Her worn leather watch ticked"
3"The suspect, Tomás Herrera, a"
4"Quinn’s sharp jawline set, her"
5"She’d seen his kind before"
6"The bone token requirement for"
7"Herrera didn’t have one."
8"He was desperate, reckless."
9"That was his weakness."
10"She didn’t hesitate."
11"The alley opened into a"
12"Quinn’s boots splashed through a"
13"She didn’t slow, didn’t look"
14"The chase was her focus,"
15"The street ended abruptly at"
16"Herrera had vanished again."
17"Quinn pressed her back against"
18"She scanned the shadows, her"
19"Herrera was trying to climb"
ratio0.887
80.65% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences62
matches
0"Before he could finish, Quinn’s"
ratio0.016
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences31
technicalSentenceCount0
matches(empty)
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags8
uselessAdditionCount4
matches
0"Quinn barked, her voice cutting through the rain’s roar"
1"he gasped, his voice strained"
2"Quinn cut, her gaze piercing"
3"Quinn finished, her voice cold"
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount4
fancyTags
0"Quinn barked (bark)"
1"he gasped (gasp)"
2"she murmured (murmur)"
3"Quinn confirmed (confirm)"
dialogueSentences24
tagDensity0.208
leniency0.417
rawRatio0.8
effectiveRatio0.333
77.7932%