Run: 2026-02-19-01KHTRG9ES0T1SYEE95CBJCAVK

Run Details

Duration:
41.5s
Cost:
$0.000412
Provider:
Cloudflare

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 stepped out of the cramped Tube carriage and onto the platform, her eyes scanning the dimly lit area. The abandoned station beneath Camden was a labyrinth of crumbling brick and rusty metal, the air thick with the stench of decay. She flashed her badge at the lone officer standing guard, a young constable with a look of wide-eyed wonder. "Detective Quinn, ma'am," he said, his voice trembling slightly. "We've got a... situation here." Quinn's gaze followed the constable's nod to a group of officers huddled near the edge of the platform. Eva Kowalski stood among them, her curly red hair a stark contrast to the drab surroundings. Quinn's eyes narrowed as she took in the scene. The victim lay on the ground, a young woman with a look of frozen terror on her face. Quinn's trained eyes picked out the details: the small, intricately carved wooden box clutched in the victim's hand, the faint scent of sandalwood wafting from it. A small, brass compass lay nearby, its needle spinning wildly as if trying to find its bearings. Eva turned as Quinn approached, her eyes locking onto the detective's with a mixture of concern and curiosity. "Harlow, what are you doing here?" Quinn's jawline set in a sharp line. "I got the call, Evie. What's the story?" Eva's gaze flicked to the victim, then back to Quinn. "Looks like a robbery gone wrong. The victim's ID says she's a grad student from UCL. No signs of forced entry or struggle, but... well, you'll see." Quinn's eyes roved over the area, taking in the scattered papers, the overturned crates. Something didn't add up. She crouched beside the victim, her eyes scanning the body. The wound was clean, almost surgical. No signs of trauma, no defensive wounds. "Looks like a professional hit," one of the officers said, his voice low and uncertain. Quinn's gaze snapped up to meet his. "Professional? This isn't a hit, Constable. This is something else entirely." Eva's eyes met Quinn's, a flicker of understanding passing between them. "You see something, don't you, Harlow?" Quinn's eyes never left the victim's face. "I see a lot of things that don't make sense. This compass, for one. And the box... it's not just any box. It's... I don't know, Evie, but I think it's trying to tell us something." Eva's eyes dropped to the box, her fingers twitching as she reached for it. "I think you might be right, Harlow. I've seen that symbol before. It's an old alchemical mark, used to ward off... other things." Quinn's eyes snapped to Eva's, her mind racing. "Other things? What do you mean?" Eva's voice dropped to a whisper. "I mean, things that don't belong in this world, Harlow. Things that shouldn't exist." Quinn's gaze returned to the victim, her mind whirling with possibilities. She knew Eva was onto something, but she couldn't quite put her finger on it. Yet. She stood, her eyes scanning the area once more. "Get forensics down here, now. I want every inch of this place dusted, every piece of evidence collected. And get me a list of everyone who's been in this station in the past 24 hours." Eva's eyes met Quinn's, a look of understanding passing between them. "I'll get on it, Harlow." Quinn's eyes never left the victim's face. "I think we're just starting to scratch the surface of something much bigger, Evie. Something that goes far beyond a simple robbery." As the officers began to move, Quinn's eyes lingered on the compass, its needle still spinning wildly. She knew that look, that feeling of being on the cusp of something momentous. It was a feeling she'd grown all too familiar with in the past three years, ever since DS Morris's disappearance. A feeling that told her she was closing in on something, something that would change everything.
created_at"2026-02-19T10:53:02.814Z" 2/19/2026, 10:53:02 AM
model"meta-llama/llama-3.1-8b-instruct"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency397
moderation_latency(null)
generation_time41452
tokens_prompt1193
tokens_completion969
native_tokens_prompt1027
native_tokens_completion888
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"
usage0.00041157
router(null)
provider_responses
0
endpoint_id"b805bc63-f9f0-402b-9f5c-e992dc1e90b8"
id"id-1771498383210"
is_byokfalse
latency397
model_permaslug"meta-llama/llama-3.1-8b-instruct"
provider_name"Cloudflare"
status200
api_type"completions"
id"gen-1771498382-IMv4SGoD9zhS9Kr24cdu"
upstream_id"id-1771498383210"
total_cost0.00041157
cache_discount(null)
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provider_name"Cloudflare"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags2
adverbTagCount0
adverbTags(empty)
dialogueSentences15
tagDensity0.133
leniency0.267
rawRatio0
effectiveRatio0
92.25% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount645
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)
30.23% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount645
totalAiIsms9
found
0
word"scanning"
count3
1
word"stark"
count1
2
word"flicked"
count1
3
word"flicker"
count1
4
word"racing"
count1
5
word"whisper"
count1
6
word"familiar"
count1
highlights
0"scanning"
1"stark"
2"flicked"
3"flicker"
4"racing"
5"whisper"
6"familiar"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes narrowed"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences35
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences35
filterMatches(empty)
hedgeMatches
0"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences48
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen37
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords644
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
totalMentions30
wordCount432
uniqueNames7
maxNameDensity3.7
worstName"Quinn"
maxWindowNameDensity6
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn16
Tube1
Camden1
Kowalski1
Eva9
Morris1
persons
0"Harlow"
1"Quinn"
2"Kowalski"
3"Eva"
4"Morris"
places(empty)
globalScore0
windowScore0
0.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences33
glossingSentenceCount2
matches
0"as if trying to find its bearings"
1"quite put her finger on it"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount644
matches(empty)
97.22% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences48
matches
0"knew that look"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs20
mean32.2
std16.56
cv0.514
sampleLengths
062
114
243
361
424
515
637
741
815
918
1017
1143
1237
1314
1420
1536
1635
1716
1829
1967
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences35
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs71
matches
0"was closing"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences48
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount433
adjectiveStacks0
stackExamples(empty)
adverbCount13
adverbRatio0.03002309468822171
lyAdverbCount6
lyAdverbRatio0.013856812933025405
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences48
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences48
mean13.42
std7.68
cv0.572
sampleLengths
021
122
219
39
45
518
616
79
818
926
1017
1118
126
137
148
1510
1627
1714
184
1910
206
217
2215
237
2411
2511
266
277
2836
2914
3023
318
326
336
3414
3511
3615
371
389
3935
4011
415
427
4322
4417
4514
4620
4716
65.97% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats0
diversityRatio0.3958333333333333
totalSentences48
uniqueOpeners19
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences34
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount7
totalSentences34
matches
0"She flashed her badge at"
1"he said, his voice trembling"
2"She crouched beside the victim,"
3"She knew Eva was onto"
4"She stood, her eyes scanning"
5"She knew that look, that"
6"It was a feeling she'd"
ratio0.206
4.12% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount31
totalSentences34
matches
0"Detective Harlow Quinn stepped out"
1"The abandoned station beneath Camden"
2"She flashed her badge at"
3"he said, his voice trembling"
4"Quinn's gaze followed the constable's"
5"Eva Kowalski stood among them,"
6"Quinn's eyes narrowed as she"
7"The victim lay on the"
8"Quinn's trained eyes picked out"
9"A small, brass compass lay"
10"Eva turned as Quinn approached,"
11"Quinn's jawline set in a"
12"Eva's gaze flicked to the"
13"Quinn's eyes roved over the"
14"Something didn't add up."
15"She crouched beside the victim,"
16"The wound was clean, almost"
17"Quinn's gaze snapped up to"
18"Eva's eyes met Quinn's, a"
19"Quinn's eyes never left the"
ratio0.912
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences34
matches(empty)
ratio0
74.83% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences21
technicalSentenceCount2
matches
0"A small, brass compass lay nearby, its needle spinning wildly as if trying to find its bearings."
1"A feeling that told her she was closing in on something, something that would change everything."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount2
matches
0"he said, his voice trembling slightly"
1"the officers said, his voice low and uncertain"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount0
fancyTags(empty)
dialogueSentences15
tagDensity0.133
leniency0.267
rawRatio0
effectiveRatio0
75.4874%