Run: 2026-02-19-01KHT0QAK6K6A6SAEM2WT4N7QG

Run Details

Duration:
10.1s
Cost:
$0.000245
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
The Veil Market’s entrance was arusted iron grate in the brick wall of a Camden Town tube station, half-buried under decades of grime and peeling posters. Detective Harlow Quinn pushed it open, the hinges groaning like a dying beast. She stepped into a cavern of shadow, the air thick with the scent of ozone and damp earth. The only light came from flickering gas lamps, casting long, dancing shapes on the walls. Eva Kowalski stood near a flickering lantern, her round glasses reflecting the dim glow. She clutched a worn leather satchel, her red curls escaping a loose braid, one hand absently tucking a strand behind her left ear. Quinn’s boots echoed on the uneven stone floor. She scanned the scene: a body sprawled near a stack of crates, a knife protruding from the chest. But something felt off. The victim’s posture was unnatural, almost relaxed, as if they’d simply sat down. The knife wasn’t bloody. The crates were empty, but the floor beneath them was clean, untouched. No footprints led away. The only disturbance was a faint, shimmering haze clinging to the air near the body’s feet. “Looks like a straightforward mugging gone wrong,” Eva murmured, her voice low. “The victim was probably carrying something valuable. Someone took it, panicked, and stabbed them.” Quinn knelt beside the body, ignoring the stench of decay. She traced the knife wound with a gloved finger. “No blood on the blade. No blood on the floor. The victim’s clothes are clean. No struggle marks on the crates. And look at this.” She pointed to the shimmering haze. “That’s not normal. Not for a mugging.” Eva leaned in, squinting. “Could be dust or something. The market’s old.” “Dust doesn’t shimmer like that,” Quinn countered, her sharp jawline set. “And it’s concentrated here. Near the body. Like it’s clinging to something.” She pulled out her pocket watch, a worn leather strap ticking steadily. “Time of death? Three hours ago. According to the coroner’s report.” She glanced at Eva. “But the body’s temperature suggests it’s been longer. And the lack of rigor mortis is… unusual.” “Could be the cold,” Eva suggested, her fingers nervously twisting the strap of her satchel. “The market’s underground. It stays cool.” “The body’s core temperature is still warm,” Quinn insisted, her eyes scanning the shadows. “And the skin… it’s not pale. It’s almost… luminous.” She stood, brushing dirt from her trousers. “This wasn’t a mugging. This was a ritual. Or something worse. Look at the position. The knife isn’t just a weapon; it’s a symbol. And that haze… it’s a barrier. Something protected the victim, or trapped something here.” Eva’s green eyes widened. “A barrier? Like… magic?” “Something supernatural,” Quinn confirmed, her voice tight. “And whoever did this knows how to hide their tracks. No footprints, no struggle. They used the environment. The Veil Market isn’t just a market, Eva. It’s a gateway. And whoever’s running this… they’re not just criminals. They’re something else.” She pulled the Veil Compass from her left wrist. The brass casing was etched with protective sigils, its patina a deep verdigris. She flipped it open. The needle didn’t point north. It spun wildly, then settled, trembling, towards a point near the body’s feet. “The Compass,” Eva breathed. “It points to rifts.” “Exactly,” Quinn said, her military bearing rigid. “There’s a rift here. Or near here. And whatever did this… they used it. Or they’re hiding behind it. The evidence doesn’t add up because the rules changed. This isn’t a human crime. This is something else entirely.” She snapped the compass shut, tucking it away. “We need to get out of here. Now. Before whatever’s behind that haze decides to come out.” She turned, her sharp jaw set in grim determination, leaving Eva staring at the shimmering haze, the truth finally sinking in.
created_at"2026-02-19T03:57:27.536Z" 2/19/2026, 3:57:27 AM
model"arcee-ai/trinity-mini-20251201"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency162
moderation_latency(null)
generation_time10073
tokens_prompt1149
tokens_completion1655
native_tokens_prompt973
native_tokens_completion1343
native_tokens_completion_images(null)
native_tokens_reasoning610
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"
usage0.000245235
router(null)
provider_responses
0
endpoint_id"73d82c49-90ae-4223-a860-83ed0810821f"
id"ea691eb5b9ec49629cb8e6f951209ce2"
is_byokfalse
latency162
model_permaslug"arcee-ai/trinity-mini-20251201"
provider_name"Clarifai"
status200
api_type"completions"
id"gen-1771473447-zkvRW3NTzmfLvA4JsmTv"
upstream_id"ea691eb5b9ec49629cb8e6f951209ce2"
total_cost0.000245235
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
totalTags14
adverbTagCount0
adverbTags(empty)
dialogueSentences22
tagDensity0.636
leniency1
rawRatio0
effectiveRatio0
92.15% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount637
totalAiIsmAdverbs1
found
0
adverb"nervously"
count1
highlights
0"nervously"
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)
52.90% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount637
totalAiIsms6
found
0
word"dancing"
count1
1
word"echoed"
count1
2
word"scanned"
count1
3
word"traced"
count1
4
word"scanning"
count1
5
word"etched"
count1
highlights
0"dancing"
1"echoed"
2"scanned"
3"traced"
4"scanning"
5"etched"
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"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences36
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences36
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences44
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen49
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords636
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions8
unquotedAttributions0
matches(empty)
38.58% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions23
wordCount359
uniqueNames9
maxNameDensity2.23
worstName"Eva"
maxWindowNameDensity3.5
worstWindowName"Eva"
discoveredNames
Veil2
Market1
Camden1
Town1
Harlow1
Quinn7
Kowalski1
Eva8
Compass1
persons
0"Market"
1"Harlow"
2"Quinn"
3"Kowalski"
4"Eva"
5"Compass"
places
0"Camden"
1"Town"
globalScore0.386
windowScore0.5
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences25
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount636
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences44
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs12
mean53
std34.87
cv0.658
sampleLengths
0109
179
226
357
412
566
621
768
88
991
108
1191
85.77% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences36
matches
0"was arusted"
1"was etched"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs72
matches(empty)
77.92% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount1
flaggedSentences1
totalSentences44
ratio0.023
matches
0"“This wasn’t a mugging. This was a ritual. Or something worse. Look at the position. The knife isn’t just a weapon; it’s a symbol. And that haze… it’s a barrier. Something protected the victim, or trapped something here.”"
98.15% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount360
adjectiveStacks0
stackExamples(empty)
adverbCount13
adverbRatio0.03611111111111111
lyAdverbCount8
lyAdverbRatio0.022222222222222223
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences44
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences44
mean14.45
std11.06
cv0.765
sampleLengths
026
113
218
315
414
523
68
718
84
913
104
1112
124
1316
1412
1514
1610
179
1831
197
204
218
2211
2324
2415
2516
2615
276
2814
2916
3038
314
324
337
3449
3513
364
375
3813
394
404
417
4246
4338
68.94% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.45454545454545453
totalSentences44
uniqueOpeners20
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences35
matches(empty)
ratio0
71.43% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount13
totalSentences35
matches
0"She stepped into a cavern"
1"She clutched a worn leather"
2"She scanned the scene: a"
3"She traced the knife wound"
4"She pointed to the shimmering"
5"She pulled out her pocket"
6"She glanced at Eva"
7"She stood, brushing dirt from"
8"She pulled the Veil Compass"
9"She flipped it open."
10"It spun wildly, then settled,"
11"She snapped the compass shut,"
12"She turned, her sharp jaw"
ratio0.371
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount33
totalSentences35
matches
0"The Veil Market’s entrance was"
1"Detective Harlow Quinn pushed it"
2"She stepped into a cavern"
3"The only light came from"
4"Eva Kowalski stood near a"
5"She clutched a worn leather"
6"Quinn’s boots echoed on the"
7"She scanned the scene: a"
8"The victim’s posture was unnatural,"
9"The knife wasn’t bloody."
10"The crates were empty, but"
11"The only disturbance was a"
12"Eva murmured, her voice low"
13"Quinn knelt beside the body,"
14"She traced the knife wound"
15"She pointed to the shimmering"
16"Eva leaned in, squinting."
17"Quinn countered, her sharp jawline"
18"She pulled out her pocket"
19"She glanced at Eva"
ratio0.943
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences35
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences13
technicalSentenceCount0
matches(empty)
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags14
uselessAdditionCount5
matches
0"Eva murmured, her voice low"
1"Eva suggested, her fingers nervously twisting the strap of her satchel"
2"Quinn insisted, her eyes scanning the shadows"
3"Quinn confirmed, her voice tight"
4"Quinn said, her military bearing rigid"
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags7
fancyCount6
fancyTags
0"Eva murmured (murmur)"
1"Eva suggested (suggest)"
2"Quinn insisted (insist)"
3"Quinn confirmed (confirm)"
4"Eva breathed (breathe)"
5"She snapped (snap)"
dialogueSentences22
tagDensity0.318
leniency0.636
rawRatio0.857
effectiveRatio0.545
76.1948%