Run: 2026-09-03-01M1K5JS3MRMTGH0N0VWDTZAMZ

Run Details

Duration:
1m 10s
Cost:
$0.020754
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
Quinn ducked under the tape at the Camden siding and took the iron ladder down. The air below tasted of soot and wet lime. Her torch cut a white lane through black dust. The disused platform stretched ahead, tiles blistered, posters stripped to paste scars. A row of shuttered kiosks lined the far wall where no kiosks belonged on any Transit plan. Their shutters wore fresh padlocks. Their shelves behind the grilles held jars and twists of wire and paper packets stamped with hand marks. Her salt-and-pepper crop brushed the low cable tray. Her brown eyes narrowed. Her sharp jaw set. She moved with military precision, boot to boot, torch level. The worn leather watch on her left wrist ticked against the hush. A uniform stood over a shape on the platform edge. “You took your time.” Quinn swept the beam across his boots and the concrete around them. “You trampled my scene.” The uniform shifted his weight and hooked his thumbs in his vest. “Dispatch flagged a body in a service tunnel. I came straight down. No one else touched him. Dr Singh called it before you arrived.” Quinn dropped to a crouch beside the dead man. He lay on his back with his arms folded, palms up, chin tipped to the tunnel roof. Late forties. Shaved head. A trader’s apron knotted at his waist, pockets turned out. His skin held a grey pull, lips cracked, eyes open and filmed with dust. No blood pooled under him. No wound opened his coat. His chest sank inward between the ribs, as if a great weight pressed and then lifted. Quinn pressed two fingers to his throat out of habit and felt nothing but cold. “Name?” “No wallet. No phone. One of the Camden rough sleepers, I reckon. Cold got him. Or bad gear.” Quinn ran the torch from his boots to his scalp. “Dust tells another story.” The platform wore a felt of grey dust, thick as ash, unmarked for yards except for a single set of prints leading from the tunnel mouth to the body. The victim’s own prints. No return prints. No drag marks. No scuff where a body fell. The dust around his shoulders lay smooth, pressed flat in a perfect outline, like a stencil. Quinn stood and paced a slow circle. Her beam caught the kiosks again. Stalls. Not kiosks. Wooden counters bolted to the tile, canvas awnings furled above. A chalk board leaned on one shutter with prices in a cramped hand. Dried herbs hung in bunches. Bottles glowed amber and green. The whole row breathed the order of a market set for trade and then abandoned mid-hour. “This is a market.” The uniform snorted and kicked at a loose ticket stub. “Down here? This station closed in seventy-four. Kids break in for parties.” Quinn stopped at the first stall and lifted a jar with her gloved hand. Inside the glass, moth wings shifted and settled, each wing marked with a letter. “Enchanted goods. Banned alchemy. Information for a price. You ever book a party with stock like this?” Footsteps rang on the platform behind them. A young woman picked her way through the dark with a torch in one fist. Curly red hair escaped a woollen hat and clung to her freckled cheeks. Round glasses caught the light. Green eyes widened at the tape and the body. A worn leather satchel full of books banged her hip. She tucked a strand of hair behind her left ear and stopped short at the sight of Quinn’s warrant card. “You need to stay back.” Quinn raised a hand and blocked the beam with her palm. “Name.” “Eva Kowalski. I work in the restricted archives at the Museum. I use the service passage for my walk home. I found him. I called it in.” The uniform tapped his notebook. “She waited up top till we arrived. I took her details.” Eva hugged the satchel strap and stared at the stalls. “You see them too. Good. Last month they denied the stalls existed.” Quinn fixed her torch on Eva’s face for a beat, then lowered it. “You pass through here often?” “Most nights. The passage cuts ten minutes off my route. Tonight the gate stood open. The stalls were lit. Voices everywhere. Then the lights died.” The uniform cut in and flipped his notebook shut. “With respect, ma’am, witnesses hear voices in tunnels. Sound carries off the Northern line. Bloke had a heart attack among squatters and they legged it. We bag him and go.” Quinn ignored him and crouched again by the open palms. Verdigris stained the right palm in a perfect circle, green as old copper. In the centre of the stain the skin puckered around a small brass disc half-sunk in the flesh. She eased it free with tweezers from her kit. A small brass compass sat in her palm. The case wore a patina of verdigris. The face bore etched sigils, rings within rings, each line cut with tool precision. The needle trembled, swung, and held firm on the blank brick of the tunnel wall behind the stalls. No north mark matched its pull. The needle quivered with live tension, as if hauled by a wire. Quinn held it up to Eva. “You recognise this?” Eva crouched without invitation and peered through her round glasses. She tucked hair behind her left ear again and her breath fogged the brass. “A Shade made that. They sieve ore from rift wash and etch wards into the lid. It seeks the nearest tear. Traders carry one to find the door when the market moves.” The uniform laughed once, short. “Rift. Right. Next you tell me he paid entry with fairy dust.” Quinn turned the dead man’s left fist open. The fingers resisted, then gave. In the hollow of his palm rested a short length of carved bone, polished by handling, one end drilled for a cord. A token. Quinn set the token beside the compass on the concrete and lined them with her torch. “Bone for entry. Brass for direction. The stalls form a market with no punters and no till. One set of prints walks in. None walk out. No blood. No wound except a caved chest and a scorched palm. Your heart attack fails to explain the stock, the token, the compass, or the dust.” She rose to her full height and crossed to the wall where the needle pulled. Five foot nine of her blocked the beam. Brown brick, Victorian courses, weep of salt and water. She pressed her gloved palm flat. The brick drank the heat from her hand faster than brick should. Cold crawled up her wrist and stopped at the worn leather watch. The second hand stuttered, jumped, and held. Eva stepped close with her satchel clutched to her ribs. “The market moves each full moon. It needs a door. The compass finds it.” Quinn ran her torch seam by seam across the mortar. One joint showed no dust. A hairline gap breathed cold air in a steady thread. She pressed her thumb to the gap and felt a pull behind her navel, as if the wall inhaled. She glanced back at the body. The outline in the dust matched the span of a man set down with care, not dropped. Arms folded. Palms up. Token kept. Compass kept. Apron pockets turned out by hands that searched after death and left the valuables of this place untouched. Quinn levelled the beam on the uniform’s boots and then on the empty stretch between body and wall. “You walked in through dust. He left none going back. No one carried him; four feet would mark the felt. He arrived through that wall and died on this side of it. Your squatters never touched him because they never entered here.”
created_at"2026-09-03T08:18:49.594Z" 9/3/2026, 8:18:49 AM
model"meta/muse-spark-1.3-20260902"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency5226
moderation_latency(null)
generation_time70356
tokens_prompt1112
tokens_completion2004
native_tokens_prompt1021
native_tokens_completion4583
native_tokens_completion_images0
native_tokens_reasoning2775
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"
usage0.020754
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788423529-H6XWKhkAXPP6PdYaDzEh"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788423529-GYUUFNbu7FkzBtL9YXU0"
upstream_id"resp_6a992d6b003bf0b1102541b8"
provider_responses
0
endpoint_id"cf4f1b4e-1719-4b65-9111-7dd7635e5a2f"
id"resp_6a992d6b003bf0b1102541b8"
is_byokfalse
latency2205
model_permaslug"meta/muse-spark-1.3-20260902"
provider_name"Meta"
status200
total_cost0.020754
cache_discount(null)
upstream_inference_cost0
provider_name"Meta"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1306
totalAiIsmAdverbs0
found(empty)
highlights(empty)
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)
61.72% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1306
totalAiIsms10
found
0
word"weight"
count2
1
word"perfect"
count2
2
word"footsteps"
count1
3
word"etched"
count1
4
word"trembled"
count1
5
word"quivered"
count1
6
word"tension"
count1
7
word"etch"
count1
highlights
0"weight"
1"perfect"
2"footsteps"
3"etched"
4"trembled"
5"quivered"
6"tension"
7"etch"
66.67% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches2
maxInWindow2
found
0
label"eyes widened/narrowed"
count2
highlights
0"eyes narrowed"
1"eyes widened"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences95
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences95
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences118
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen53
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1306
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions6
unquotedAttributions0
matches(empty)
65.43% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions24
wordCount946
uniqueNames5
maxNameDensity1.69
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Camden1
Transit1
Quinn16
Eva5
Victorian1
persons
0"Quinn"
1"Eva"
places(empty)
globalScore0.654
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences71
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1306
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences118
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs40
mean32.65
std22.86
cv0.7
sampleLengths
015
170
238
310
44
516
636
79
871
915
101
1118
1214
1361
1465
154
1622
1745
187
1972
205
2112
2227
2316
2422
2518
2625
2739
2850
2965
309
3156
3217
3337
3469
3569
3624
3744
3849
3960
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences95
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs159
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount1
flaggedSentences1
totalSentences118
ratio0.008
matches
0"“You walked in through dust. He left none going back. No one carried him; four feet would mark the felt. He arrived through that wall and died on this side of it. Your squatters never touched him because they never entered here.”"
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount950
adjectiveStacks0
stackExamples(empty)
adverbCount13
adverbRatio0.01368421052631579
lyAdverbCount1
lyAdverbRatio0.0010526315789473684
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences118
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences118
mean11.07
std8.04
cv0.726
sampleLengths
015
19
29
312
417
55
618
78
84
94
1010
1112
1210
134
1412
154
1612
1724
189
1917
202
212
2210
2314
245
255
2616
2715
281
2918
3010
314
3229
334
343
353
366
3716
387
396
401
412
4210
4313
445
455
4616
474
4810
4912
53.67% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats10
diversityRatio0.3728813559322034
totalSentences118
uniqueOpeners44
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences86
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount18
totalSentences86
matches
0"Her torch cut a white"
1"Their shutters wore fresh padlocks."
2"Their shelves behind the grilles"
3"Her salt-and-pepper crop brushed the"
4"Her brown eyes narrowed."
5"Her sharp jaw set."
6"She moved with military precision,"
7"He lay on his back"
8"His skin held a grey"
9"His chest sank inward between"
10"Her beam caught the kiosks"
11"She tucked a strand of"
12"She eased it free with"
13"She tucked hair behind her"
14"She rose to her full"
15"She pressed her gloved palm"
16"She pressed her thumb to"
17"She glanced back at the"
ratio0.209
58.84% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount69
totalSentences86
matches
0"Quinn ducked under the tape"
1"The air below tasted of"
2"Her torch cut a white"
3"The disused platform stretched ahead,"
4"A row of shuttered kiosks"
5"Their shutters wore fresh padlocks."
6"Their shelves behind the grilles"
7"Her salt-and-pepper crop brushed the"
8"Her brown eyes narrowed."
9"Her sharp jaw set."
10"She moved with military precision,"
11"The worn leather watch on"
12"A uniform stood over a"
13"Quinn swept the beam across"
14"The uniform shifted his weight"
15"Quinn dropped to a crouch"
16"He lay on his back"
17"A trader’s apron knotted at"
18"His skin held a grey"
19"His chest sank inward between"
ratio0.802
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences86
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences51
technicalSentenceCount1
matches
0"She pressed her thumb to the gap and felt a pull behind her navel, as if the wall inhaled."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags0
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
86.8775%