Run: 2026-07-25-01KYD5AWKXR1HTDA6BP9G046H1

Run Details

Duration:
17.4s
Cost:
$0.010784
Provider:
Meta

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 Northern line hummed overhead. A train rattled past somewhere beyond the concrete and left dust hanging in the air of the abandoned platform. Harlow Quinn ducked under the tape. The Constable on duty lifted the barrier with two fingers and stepped back. The air down here bit cold. It smelled of ozone and damp stone and fried onions from a vendor stall that had no right to exist in a Tube station closed since 1984. "Detective." Quinn nodded. Her worn leather watch caught the bare bulb light. 02:14. The crime scene spread across the tiles of what used to be Camden Town's lower platform, now reimagined. Strings of amber bulbs swung above trestle tables. Jars glowed. Something in a cage chittered. Chalk sigils marked the concrete, half-scrubbed by the first responders' boots. In the centre, a man lay face down. Expensive coat. No blood on the tiles around him. PC Davies hovered by the body, notebook open, face pale under the harsh light. "You called it in. Talk me through." Davies swallowed. "Anonymous tip. Said there's a body in the old service tunnel. We found this. Sir - ma'am - there's a whole market down here." "I see the market." "It's not on any city registry. No permits. No CCTV feed. These people," Davies flicked his eyes to the line of figures held against the far wall by two uniforms, "they won't give names. And the body - " Quinn crouched beside the victim. Fortyish. Clean-shaven. Hands soft. No wallet. No phone. She touched the back of his neck. Cold. "No forced entry wounds I can see from here." "No," Davies said. "That's the thing. Param recovered no heartbeat, but no external trauma. We thought maybe a cardiac event until we saw his eyes." Quinn tilted the head. The eyelids lifted. The irises were black. Not dilated. Black, edge to edge, like ink poured into the whites. A murmur rippled from the line of detained vendors. A woman in a patched coat pulled her shawl tighter. Quinn stood. "Who cleared the scene?" "DC Patel. She logged it as an accidental death. OD, probable. Said the eyes were - aesthetic modifications. Like those kids do." "Where is Patel?" "At the top, waiting for the coroner van. She said you wouldn't need to come down." Quinn's jaw tightened. Her gaze swept the platform. The sigils. The jars. The crowd. Her hand went to her radio but she stopped. The radio spat static down here, no signal. Footsteps clattered on the iron stairwell. Eva Kowalski appeared at the cordon, breathless, her worn leather satchel banging against her hip, curly red hair escaping from a hastily tied knot. Round glasses fogged. Freckles stood out against white skin. "Let me through. You have to let me through. That is a Veil Market." The Constable blocked her. "Ma'am, this is a crime scene." Eva spotted Quinn. "Harlow!" Quinn frowned. "Eva. What are you doing here?" "You called the museum line. The night desk forwarded it. When you said bone token and moving location - that's the Veil Market. You cannot log this as an OD." Davies stared. "You know her, ma'am?" Quinn lifted the tape for Eva. Eva ducked under and tucked hair behind her left ear, eyes already on the body. "I called you as a consultant four months ago on the Hampstead case. You are still on my list." Eva knelt before anyone could stop her. She did not touch the body. She studied the black eyes, the faint grey tinge to the lips. "Not OD." Quinn crouched opposite her. "Then what?" Eva reached into her satchel and pulled out a small brass compass. The casing showed a patina of verdigris at the edges, the face etched with protective sigils that caught the bulb light. Davies leaned in. "Is that evidence?" "No." Eva placed the Veil Compass on the tiles beside the dead man's hand. The needle spun once, twice, then locked, pointing not north but directly at the man's open mouth. "Rift residue," Eva whispered. "He inhaled something. Or something inhaled him." Footsteps again. DC Anjali Patel came down the stairs, brisk, coat buttoned, already holding a coffee that steamed in the cold. "Harlow. You didn't need to come down. I've got it sorted." Patel stopped at the edge of the light. She took in Eva and the compass. "Who is this?" "Eva Kowalski. British Museum. Restricted archives. She's done consults for us before." Patel's smile thinned. "Right. The occult expert. Look, Quinn, this is a drug death. These markets sell banned alchemical substances. The guy bought something bad, took it, died. Eyes black, classic reaction to that Shade - I wrote it up. The stuff they call Shade." "It is not Shade," Eva said. "Eva." Quinn held up a hand. She looked at the man again. No powder on his nose. No needle marks. No vomit. No sign of seizure. His coat lay flat, no bunching. His shoes were clean. "Patel, talk me through your sequence." Patel sipped her coffee. "Buyer comes down here, maybe first time, buys product from one of these stalls. Takes it on site. He collapses. Vendors panic, move product, but leave the body. Anonymous call is a vendor clearing conscience. Simple. I mean, look at this place. It's a drug den with fairy lights." Quinn stood. She walked the perimeter, boots scuffing chalk. "What product does not leave a container?" Patel shrugged. "What?" Quinn pointed to the victim's hands. Open. Empty. Palms unmarked. "No baggie. No vial. No wrapper. No burn on the lips. Where is the product? The vendors had time to hide their stash but not to take the thing from his hands?" "Maybe he dropped it. Rolled." "Show me roll marks." The tiles were dusty. Only two sets of footprints broke the dust around the body - Davies's boot prints and the paramedics'. No drag, no scattered powder. Quinn moved to the vendor line. A gaunt man with ink-stained fingers clutched a wooden box to his chest. "Open it." The man shook his head. Patel stepped forward. "Quinn, we can't search without -" "We have a dead body in an unlicensed market. Open the box." The man flipped the lid. Inside: small brass compasses, identical to Eva's, needles shivering. Veil Compasses. All pointed at the dead man. Eva inhaled. "They point toward the nearest supernatural rift or portal." Quinn looked down at the compass by the body. The needle still pointed at the mouth. "Not at his mouth. Through his mouth." Eva went still. "What?" Quinn knelt again. She pulled a pen from her pocket and used the tip to ease the jaw open. The mouth was empty. Dark. Too dark. The light from the bulbs did not hit the back of the throat. It fell into it. Davies gagged. "Christ." Patel stepped closer, despite herself. "What is that?" Quinn leaned in. Cold air breathed out of the open mouth. It smelled of stone before rain. "Evidence that does not add up," Quinn said. "No product because the product was a location. He didn't inhale something. He stood on it." Eva's hand shot out, grabbed Quinn's wrist. "Don't touch him. If he is still an open door -" Quinn stared into the void behind teeth. In the black, something shifted. A faint mark on the tongue - not a tattoo - a sigil, charred into flesh, still smoking at the edge. She recognized the shape. She had seen it photographed in a case file three years ago, on the wall where they found DS Morris. The Veil Compass beside the man's hand spun violently now and cracked, glass shattering. Patel took a step back. "Okay. Okay, what the hell is this? Quinn, we need to get out of here. Now." Quinn did not move. She kept her eyes on the sigil, her watch ticking loud against the hum of the trains overhead. "Eva. Tell me what opens from the other side."
created_at"2026-07-25T17:31:58.982Z" 7/25/2026, 5:31:58 PM
model"meta/muse-spark-1.1-20260709"
app_id182717
external_user(null)
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cancelledfalse
latency2903
moderation_latency(null)
generation_time17270
tokens_prompt1112
tokens_completion1954
native_tokens_prompt1164
native_tokens_completion2195
native_tokens_completion_images0
native_tokens_reasoning352
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
service_tier"auto"
usage0.01078375
router(null)
provider_responses
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endpoint_id"b2b9f6f9-8880-41c1-bd0c-867650fd5238"
id"resp_6a64f30f0c4fe214971f4608"
is_byokfalse
latency464
model_permaslug"meta/muse-spark-1.1-20260709"
provider_name"Meta"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
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api_type"completions"
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provider_name"Meta"
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data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags7
adverbTagCount0
adverbTags(empty)
dialogueSentences51
tagDensity0.137
leniency0.275
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1318
totalAiIsmAdverbs0
found(empty)
highlights(empty)
80.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found
0"Patel"
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
81.03% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1318
totalAiIsms5
found
0
word"flicked"
count1
1
word"footsteps"
count2
2
word"tinge"
count1
3
word"etched"
count1
highlights
0"flicked"
1"footsteps"
2"tinge"
3"etched"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches0
maxInWindow0
found(empty)
highlights(empty)
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences124
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences124
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences170
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen49
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1328
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions10
unquotedAttributions0
matches(empty)
16.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions68
wordCount817
uniqueNames16
maxNameDensity2.57
worstName"Quinn"
maxWindowNameDensity4.5
worstWindowName"Quinn"
discoveredNames
Northern1
Quinn21
Constable2
Tube1
Camden1
Town1
Davies8
Kowalski1
Eva14
Veil3
Compass2
Footsteps2
Anjali1
Patel8
Compasses1
Morris1
persons
0"Quinn"
1"Constable"
2"Davies"
3"Kowalski"
4"Eva"
5"Footsteps"
6"Anjali"
7"Patel"
8"Morris"
places
0"Tube"
1"Camden"
2"Town"
3"Compass"
globalScore0.215
windowScore0.167
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences55
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.753
wordCount1328
matches
0"not north but directly at the man's open mouth"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences170
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs98
mean13.55
std12.26
cv0.905
sampleLengths
024
16
246
31
412
544
617
714
87
92
1024
114
1239
1321
149
1525
1623
1719
182
194
2022
213
2216
2331
246
2533
2614
274
286
293
301
312
326
3330
342
354
3621
3719
3825
392
404
412
4233
433
443
451
4630
4711
4821
4911
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences124
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs137
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount3
semicolonCount0
flaggedSentences2
totalSentences170
ratio0.012
matches
0"Only two sets of footprints broke the dust around the body - Davies's boot prints and the paramedics'."
1"A faint mark on the tongue - not a tattoo - a sigil, charred into flesh, still smoking at the edge."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount606
adjectiveStacks0
stackExamples(empty)
adverbCount10
adverbRatio0.0165016501650165
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences170
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences170
mean7.81
std7.84
cv1.004
sampleLengths
05
119
26
313
46
527
61
72
89
91
1018
118
122
135
1411
158
162
177
1814
197
202
2124
224
2339
245
251
261
272
282
292
307
311
329
333
3422
354
363
374
382
3910
409
4110
422
434
4422
453
4616
473
485
492
53.85% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats14
diversityRatio0.3727810650887574
totalSentences169
uniqueOpeners63
74.07% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences90
matches
0"Only two sets of footprints"
1"All pointed at the dead"
ratio0.022
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount18
totalSentences90
matches
0"It smelled of ozone and"
1"Her worn leather watch caught"
2"She touched the back of"
3"Her gaze swept the platform."
4"Her hand went to her"
5"She did not touch the"
6"She studied the black eyes,"
7"She took in Eva and"
8"She looked at the man"
9"His coat lay flat, no"
10"His shoes were clean."
11"She walked the perimeter, boots"
12"She pulled a pen from"
13"It fell into it."
14"It smelled of stone before"
15"She recognized the shape."
16"She had seen it photographed"
17"She kept her eyes on"
ratio0.2
32.22% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount77
totalSentences90
matches
0"The Northern line hummed overhead."
1"A train rattled past somewhere"
2"Harlow Quinn ducked under the"
3"The Constable on duty lifted"
4"The air down here bit"
5"It smelled of ozone and"
6"Her worn leather watch caught"
7"The crime scene spread across"
8"Strings of amber bulbs swung"
9"Something in a cage chittered."
10"Chalk sigils marked the concrete,"
11"PC Davies hovered by the"
12"Davies flicked his eyes to"
13"Quinn crouched beside the victim."
14"She touched the back of"
15"Quinn tilted the head."
16"The eyelids lifted."
17"The irises were black."
18"A murmur rippled from the"
19"A woman in a patched"
ratio0.856
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences90
matches(empty)
ratio0
77.92% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences22
technicalSentenceCount2
matches
0"The casing showed a patina of verdigris at the edges, the face etched with protective sigils that caught the bulb light."
1"DC Anjali Patel came down the stairs, brisk, coat buttoned, already holding a coffee that steamed in the cold."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags7
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount1
fancyTags
0"Eva whispered (whisper)"
dialogueSentences51
tagDensity0.078
leniency0.157
rawRatio0.25
effectiveRatio0.039
87.1921%