Run: 2026-02-19-01KHTQYGXPC264Q86N880ZC3ZC

Run Details

Duration:
30.6s
Cost:
$0.000607
Provider:
DeepInfra

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 echoed through the abandoned Tube station, the sound ricocheting off the damp, tiled walls. The fluorescent lights flickered intermittently, casting eerie shadows that seemed to dance just out of the corner of her eye. She adjusted the worn leather watch on her left wrist, its familiar weight a constant reminder of the years she had served on the force. The crime scene tape was a stark yellow against the drab, faded walls. Quinn paused at the edge, her sharp jaw set in determination. She bent down to retrieve a bone token from the ground, examining it closely before slipping it into her evidence bag. The token was the key to entering the Veil Market, a hidden supernatural black market that moved locations every full moon. She had seen these tokens before, and they always left a bad taste in her mouth. Eva Kowalski, her childhood friend and now an occult researcher, stood a few feet away, tucking a strand of curly red hair behind her left ear. Her round glasses perched on her nose, and a worn leather satchel stuffed with books hung over her shoulder. She looked up as Quinn approached, her green eyes meeting Quinn’s brown ones. "This place gives me the creeps," Eva muttered, her voice barely above a whisper. "I don’t like it here, Harlow." Quinn nodded, her gaze sweeping the area. "I understand, Evie. But this is our best lead. Whoever did this knew how to get in here, and we need to find out how." The body lay on the platform, a stark contrast to the lifeless, sterile environment. It was a young man, mid-twenties, dressed in a dingy trench coat. His eyes were wide open, a look of terror frozen on his face. Quinn knelt beside him, carefully examining the area around the body. There were no obvious signs of struggle, no blood, no weapon. Just an unsettling stillness that seemed to permeate the entire scene. "Any ID on the victim yet?" Quinn asked, her voice professional and detached. Eva rifled through her satchel and pulled out a small, leather-bound notebook. "His name is Liam⊕ Cunningham. He’s been seen around the Veil Market a few times. People say he’s a regular customer, always looking for something specific." Quinn nodded, her fingers brushing against the cold metal of her badge. "What was he looking for?" Eva hesitated, flipping through the pages of her notebook. "That’s where it gets weird. Some say he was after a Veil Compass. A small brass compass that points toward the nearest supernatural rift or portal. It’s said to be crafted by a Shade artisan." Quinn’s brow furrowed. "A Veil Compass? That’s not something you find just lying around. It’s a rare and powerful tool." "Exactly," Eva agreed, tucking a loose strand of hair behind her ear again. "Which is why I think someone might have killed him to get it." Quinn stood up, her eyes scanning the platform. "So, where’s the compass now?" Eva shrugged, her freckled complexion pale in the dim light. "That’s the mystery. It’s nowhere to be found. No one’s seen it since Liam was last here." Quinn’s gaze narrowed. She walked around the body, her eyes trained on the ground. The tiles were worn and cracked, but she noticed something peculiar—a small, almost invisible etching on one of the tiles. She crouched down, her fingers tracing the intricate pattern. "What’s that?" Eva asked, leaning in for a closer look. Quinn’s face hardened. "Looks like some kind of sigil. Probably used to open a portal or a rift. It’s recent, too. The lines are still sharp." Eva’s eyes widened. "So, someone opened a portal here, and then what? Disappeared with the compass?" "Or they could have used it to find what they were looking for," Quinn mused. "But why leave the body behind?" "It doesn’t make sense," Eva said, frustration creeping into her voice. "If they wanted the compass, why not just take it and leave? Why make it look like a murder?" Quinn stood up, her mind racing. "Because they wanted us to find the body. They wanted us to know something happened here, but they didn’t want us to figure out the whole story." Eva nodded, her expression grim. "So, it’s a message?" "Exactly," Quinn said, her voice firm. "And we need to decipher it." She turned to a uniformed officer standing a few feet away, motioning for him to approach. "Run a full forensic analysis on this area. I want to know every detail. And keep an eye out for any more of these sigils." The officer nodded and relayed the instructions to his team. Quinn turned back to Eva, her eyes piercing. "We need to find out who Liam was dealing with. Anyone who’s seen him around the Market recently." Eva nodded, already flipping through her notebook. "I’ve got a few names. One of them is a regular informant of mine. He might know more." Quinn’s phone buzzed, and she pulled it out, her expression hardening as she read the message. "It’s the brass. They want a preliminary report. We’ve got to move fast." Eva tucked her notebook back into her satchel. "Let’s start with my informant, then. The sooner we know what we’re dealing with, the better." Quinn nodded, her military precision evident in every movement. "Alright. Let’s go. We need to stay one step ahead of whoever did this." Together, they made their way out of the abandoned station, the flickering lights behind them slowly fading into darkness. The Veil Market held more secrets than they could imagine, and Quinn was determined to uncover every one of them.
created_at"2026-02-19T10:43:20.635Z" 2/19/2026, 10:43:20 AM
model"qwen/qwen-2.5-72b-instruct"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency794
moderation_latency(null)
generation_time30521
tokens_prompt1171
tokens_completion1429
native_tokens_prompt1037
native_tokens_completion1238
native_tokens_completion_images(null)
native_tokens_reasoning0
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"
usage0.00060726
router(null)
provider_responses
0
endpoint_id"8b6b26e9-621a-4b31-b55a-c9aaa7482ede"
id"cmpl-18a7c60e401942bbaad9be5f21260cad"
is_byokfalse
latency62
model_permaslug"qwen/qwen-2.5-72b-instruct"
provider_name"DeepInfra"
status200
api_type"completions"
id"gen-1771497800-2x9R5XIekbJo0NFoLAMU"
upstream_id"cmpl-18a7c60e401942bbaad9be5f21260cad"
total_cost0.00060726
cache_discount(null)
upstream_inference_cost0
provider_name"DeepInfra"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags7
adverbTagCount0
adverbTags(empty)
dialogueSentences29
tagDensity0.241
leniency0.483
rawRatio0
effectiveRatio0
84.13% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount945
totalAiIsmAdverbs3
found
0
adverb"barely above a whisper"
count1
1
adverb"carefully"
count1
2
adverb"slowly"
count1
highlights
0"barely above a whisper"
1"carefully"
2"slowly"
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)
15.34% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount945
totalAiIsms16
found
0
word"echoed"
count1
1
word"flickered"
count1
2
word"dance"
count1
3
word"familiar"
count1
4
word"weight"
count1
5
word"reminder"
count1
6
word"stark"
count2
7
word"whisper"
count1
8
word"furrowed"
count1
9
word"scanning"
count1
10
word"etching"
count1
11
word"tracing"
count1
12
word"intricate"
count1
13
word"racing"
count1
14
word"determined"
count1
highlights
0"echoed"
1"flickered"
2"dance"
3"familiar"
4"weight"
5"reminder"
6"stark"
7"whisper"
8"furrowed"
9"scanning"
10"etching"
11"tracing"
12"intricate"
13"racing"
14"determined"
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
emotionTells1
narrationSentences48
matches
0"t in determination"
53.57% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount2
narrationSentences48
filterMatches
0"watch"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences70
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen35
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords942
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions39
wordCount558
uniqueNames7
maxNameDensity3.41
worstName"Quinn"
maxWindowNameDensity5.5
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn19
Tube1
Veil2
Market2
Kowalski1
Eva13
persons
0"Harlow"
1"Quinn"
2"Market"
3"Kowalski"
4"Eva"
places(empty)
globalScore0
windowScore0
28.05% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences41
glossingSentenceCount2
matches
0"shadows that seemed to dance just out of the corner of her eye"
1"stillness that seemed to permeate the entire scene"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount942
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences70
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs30
mean31.4
std17.8
cv0.567
sampleLengths
063
182
258
320
432
572
613
738
817
944
1020
1126
1213
1327
1443
1510
1626
1716
1821
1930
2033
219
2212
2341
2436
2525
2629
2724
2823
2939
97.95% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences48
matches
0"was determined"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs102
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount0
flaggedSentences1
totalSentences70
ratio0.014
matches
0"The tiles were worn and cracked, but she noticed something peculiar—a small, almost invisible etching on one of the tiles."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount561
adjectiveStacks1
stackExamples
0"small, leather-bound notebook."
adverbCount15
adverbRatio0.026737967914438502
lyAdverbCount6
lyAdverbRatio0.0106951871657754
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences70
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences70
mean13.46
std6.8
cv0.505
sampleLengths
018
120
225
313
411
521
621
716
826
919
1013
1114
126
137
1425
1514
1612
1713
1811
1911
2011
2113
2212
2326
2412
255
269
2735
283
2917
3013
3113
328
335
3410
3517
363
3711
3820
399
4010
413
4223
433
4413
4515
466
4711
4819
496
71.43% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats0
diversityRatio0.42857142857142855
totalSentences70
uniqueOpeners30
70.92% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences47
matches
0"Just an unsettling stillness that"
ratio0.021
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount10
totalSentences47
matches
0"She adjusted the worn leather"
1"She bent down to retrieve"
2"She had seen these tokens"
3"Her round glasses perched on"
4"She looked up as Quinn"
5"It was a young man,"
6"His eyes were wide open,"
7"She walked around the body,"
8"She crouched down, her fingers"
9"She turned to a uniformed"
ratio0.213
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount44
totalSentences47
matches
0"Detective Harlow Quinn's boots echoed"
1"The fluorescent lights flickered intermittently,"
2"She adjusted the worn leather"
3"The crime scene tape was"
4"Quinn paused at the edge,"
5"She bent down to retrieve"
6"The token was the key"
7"She had seen these tokens"
8"Eva Kowalski, her childhood friend"
9"Her round glasses perched on"
10"She looked up as Quinn"
11"Eva muttered, her voice barely"
12"Quinn nodded, her gaze sweeping"
13"The body lay on the"
14"It was a young man,"
15"His eyes were wide open,"
16"Quinn knelt beside him, carefully"
17"Quinn asked, her voice professional"
18"Eva rifled through her satchel"
19"Quinn nodded, her fingers brushing"
ratio0.936
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences47
matches(empty)
ratio0
63.49% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences27
technicalSentenceCount3
matches
0"The fluorescent lights flickered intermittently, casting eerie shadows that seemed to dance just out of the corner of her eye."
1"The token was the key to entering the Veil Market, a hidden supernatural black market that moved locations every full moon."
2"Just an unsettling stillness that seemed to permeate the entire scene."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags7
uselessAdditionCount3
matches
0"Eva muttered, her voice barely above a whisper"
1"Eva said, frustration creeping into her voice"
2"Quinn said, her voice firm"
81.03% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount2
fancyTags
0"Eva muttered (mutter)"
1"Eva agreed (agree)"
dialogueSentences29
tagDensity0.207
leniency0.414
rawRatio0.333
effectiveRatio0.138
75.3307%