Run: 2026-09-03-01M1KRWST9PWM34PPAR690NVFF

Run Details

Duration:
32.1s
Cost:
$0.003387
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
The stairwell smelled of damp concrete and old oil. Harlow Quinn pushed past the cordon and down into the abandoned Tube station beneath Camden. Her boots struck the tiled steps in even intervals. The worn leather watch on her left wrist caught the beam of her torch. She had the bone token in her pocket. The Market moved every full moon. Tonight it had settled here. The platform was lit by strings of bare bulbs and the cold blue of a single rift hanging in the air above the tracks. It pulsed slow, like a breath. Uniforms held back a crowd of traders in coats too heavy for the temperature, whispering into phones. Quinn stopped at the edge of the chalk outline. The body lay on its back between a stall of black candles and a crate of jars. A man in his thirties. Throat open. No blood on the tiles. No blood on the shirt. No blood on the hands of the people standing three feet away. She crouched. Brown eyes narrowed. The sharp jaw set. “You’re not going to like this,” DC Armitage said behind her. “Show me.” Armitage crouched beside her and pointed with a gloved finger at the floor. The chalk line was clean. No spatter. No drag marks. The man's shoes were polished. Laces tied. “Murder by strangulation. Witnesses say he dropped. No struggle. No weapon.” Quinn ran a thumb along the edge of the outline. The concrete was cold. “Strangulation leaves marks,” she said. “Lividity consistent with hanging,” Armitage said. “But no rope.” Quinn lifted the man's left hand. Fingernails clean. No defensive wounds. The right hand was open, palm up, as if waiting for change. A satchel sat half under the crate. Worn leather, full of books. A red curl of hair stuck to the strap. Eva Kowalski stepped out from behind the crate and tucked hair behind her left ear. Round glasses slipped down her nose. Freckles stood out against the pale light. “Detective Quinn,” she said. “You called.” “I didn’t call you,” Quinn said. “Armitage did. He said you were asking for the Museum.” Eva set the satchel on the crate and opened it. She moved with the nervous precision of someone who handled old paper. Quinn looked at the body again. The skin had a grey undertone, not the waxy pallor of a fresh corpse. The eyes were open. No clouding. “Time of death?” Quinn asked. Armitage checked his notebook. “Witness puts it at twenty-two hundred. That’s ninety minutes ago.” Ninety minutes and the body looked three days old. Quinn stood and walked the perimeter. The stall to the left sold bone tokens on a velvet cloth. The stall to the right sold glass vials that fogged when she passed. The air thrummed. She stopped at a brass compass on the floor near the body. Small. Verdigris patina on the casing. The face was etched with protective sigils. The needle spun, then settled, pointing up at the rift. Eva crouched and picked it up with two fingers. “Veil Compass. Shade work. Points to the nearest rift or portal.” “Evidence,” Quinn said. Eva didn’t hand it over. “It was his. He was a broker. He ran information through the Market.” Quinn examined the throat. No ligature marks. No bruising. The skin was smooth except for a faint circle, the size of a coin, just below the jaw. It caught the light differently. “Ancient history,” Eva said. “From the archives. There are accounts of the *soul cut*. A Shade artisan can sever the tether without touching the body. No blood. No struggle. Victim drops as if asleep.” Armitage snorted. “We’re not booking a Shade, Dr Kowalski.” “He’s dead,” Eva said. “That’s booking.” Quinn straightened. Military precision in her posture. She looked at the rift. It shivered. The blue light threw shadows that didn’t match the bulbs. She walked back to the body and lifted the man's shirt. The chest was flat. No heartbeat bruising. The faint circle on his throat was a perfect imprint. Inside the circle, the skin looked untouched. “Witnesses,” Quinn said. Armitage led two traders forward. A man in a patched coat and a woman with silver hair. They stood shoulder to shoulder. “He just fell,” the man said. “One minute he was counting, next he was down.” “Did you see hands?” Quinn asked. “No,” the woman said. “No one touched him.” “Did he make a sound?” Silence. Quinn turned to Eva. “You think this is supernatural.” “I think the evidence is supernatural,” Eva said. She tapped the compass. “He was tracking the rift. It was getting larger. He was afraid.” Quinn looked at the stall behind the body. A stack of ledgers lay open. Names written in neat columns. A name circled in red. Quinn read it under her breath. She flipped a page. Another name. Another circle. The same handwriting as the chalk on the outline. Armitage leaned in. “That’s the victim’s hand.” Quinn folded the ledger closed. “He wrote his own murder report?” “No,” Eva said. She pulled a thin book from her satchel. The cover was cracked. “The Veil Market doesn’t use paper for contracts. They use bone. Bone tokens. The ledger is a decoy. He was writing names for the clique you’ve been chasing.” Quinn’s jaw tightened. She had been tracking the clique for eighteen months. Financial transfers, missing persons, the death of DS Morris. She had never found a body. “Morris,” she said. Eva’s fingers paused on the book. “You lost your partner three years ago.” Quinn didn’t answer. Eva opened the book to a marked page. Illustrations of sigils. The same sigils etched on the compass face. “This is a binding,” Eva said. “Not a cutting. The circle on his throat. It’s a brand. The Veil Compass points to a rift, but a compass like this can also anchor one. If you set it at the right point, you can pull something through.” Quinn looked at the rift again. It was wider now. The blue light spilled onto the platform and caught the chalk outline, making it glow. Armitage stepped back. “That’s not possible.” Quinn knelt again and examined the floor inside the chalk line. The concrete was scored with faint lines, radiating out from where the body lay. She brushed dust away with a gloved finger. A sigil. Small. Half covered by the body’s shadow. She pulled out her phone and photographed it. Then she stood and looked at the traders. None of them were looking at the rift. They were looking at her. Eva tucked a red curl behind her left ear. “The Market moves. Every full moon. The rift moves with it. The broker was trying to close it. He set the compass to anchor it, and someone took the compass off him after.” Quinn picked up the ledger and held it to the light. The circled names were not random. They were addresses. Camden. Each one an abandoned Tube station. The rift pulsed. A low sound vibrated through the floor. Quinn’s watch ticked. She counted the seconds between pulses. Three. Three. She looked at the body, at the circle on his throat, at the sigil on the floor, at the compass pointing straight up. Armitage was still talking about strangulation and lividity. Eva was still talking about Shades and soul cuts. Quinn was looking at the pattern of the sigil, the placement of the body, the direction of the needle, and the list of names written in the victim’s own hand. The evidence didn’t add up for murder. It added up for an opening.
created_at"2026-09-03T13:56:20.944Z" 9/3/2026, 1:56:20 PM
model"meta/muse-glimmer-30b-20260810"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency165
moderation_latency(null)
generation_time32068
tokens_prompt1112
tokens_completion3178
native_tokens_prompt1037
native_tokens_completion2757
native_tokens_completion_images(null)
native_tokens_reasoning1263
native_tokens_cached896
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"stop"
service_tier(null)
usage0.00338654
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788443780-S4hGYe9h5eDmmGAwnR6L"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788443780-wt5fq3OiBoJHIwMWH4Oc"
upstream_id"chatcmpl-R04P3nfe3W5JspX9tf13EcjP"
provider_responses
0
endpoint_id"a9912acb-568e-4147-8ed3-5d20aea22135"
id"chatcmpl-R04P3nfe3W5JspX9tf13EcjP"
is_byokfalse
latency73
model_permaslug"meta/muse-glimmer-30b-20260810"
provider_name"DeepInfra"
status200
total_cost0.00338654
cache_discount0.00023296
upstream_inference_cost0
provider_name"DeepInfra"
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
totalTags16
adverbTagCount0
adverbTags(empty)
dialogueSentences40
tagDensity0.4
leniency0.8
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1266
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)
68.40% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1266
totalAiIsms8
found
0
word"pulsed"
count2
1
word"velvet"
count1
2
word"etched"
count2
3
word"perfect"
count1
4
word"silence"
count1
5
word"vibrated"
count1
highlights
0"pulsed"
1"velvet"
2"etched"
3"perfect"
4"silence"
5"vibrated"
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
narrationSentences150
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences150
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences173
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen40
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords2
totalWords1266
ratio0.002
matches
0"soul cut"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions20
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions56
wordCount961
uniqueNames10
maxNameDensity2.5
worstName"Quinn"
maxWindowNameDensity5
worstWindowName"Quinn"
discoveredNames
Quinn24
Tube2
Camden2
Market1
Armitage9
Kowalski1
Eva14
Silence1
Morris1
Shades1
persons
0"Quinn"
1"Market"
2"Armitage"
3"Kowalski"
4"Eva"
5"Morris"
places(empty)
globalScore0.251
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences71
glossingSentenceCount1
matches
0"as if waiting for change"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1266
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences173
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs69
mean18.35
std12.46
cv0.679
sampleLengths
047
119
247
39
429
517
69
711
82
930
1011
1114
125
139
1423
1521
1628
176
186
1910
2022
2126
225
2314
249
2534
2635
2720
283
2918
3032
3134
329
336
3424
3535
363
3722
3815
396
408
415
421
439
4424
4530
468
479
487
4911
98.25% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences150
matches
0"was lit"
1"was etched"
2"was scored"
0.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount5
totalVerbs164
matches
0"were looking"
1"were looking"
2"was still talking"
3"was still talking"
4"was looking"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences173
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount961
adjectiveStacks0
stackExamples(empty)
adverbCount15
adverbRatio0.015608740894901144
lyAdverbCount1
lyAdverbRatio0.001040582726326743
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences173
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences173
mean7.32
std5.96
cv0.815
sampleLengths
09
115
29
314
48
56
65
724
86
917
109
1117
125
132
145
155
1612
172
183
194
2011
212
2213
235
242
253
265
272
2811
2910
304
315
326
333
346
352
363
3712
387
395
409
4115
426
437
444
452
466
4710
4810
4912
49.90% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats12
diversityRatio0.34104046242774566
totalSentences173
uniqueOpeners59
28.49% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences117
matches
0"Then she stood and looked"
ratio0.009
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount22
totalSentences117
matches
0"Her boots struck the tiled"
1"She had the bone token"
2"It pulsed slow, like a"
3"She moved with the nervous"
4"She stopped at a brass"
5"It caught the light differently."
6"She looked at the rift."
7"She walked back to the"
8"They stood shoulder to shoulder."
9"She tapped the compass."
10"She flipped a page."
11"She pulled a thin book"
12"She had been tracking the"
13"She had never found a"
14"It was wider now."
15"She brushed dust away with"
16"She pulled out her phone"
17"They were looking at her."
18"They were addresses."
19"She counted the seconds between"
ratio0.188
19.83% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount103
totalSentences117
matches
0"The stairwell smelled of damp"
1"Harlow Quinn pushed past the"
2"Her boots struck the tiled"
3"The worn leather watch on"
4"She had the bone token"
5"The Market moved every full"
6"Tonight it had settled here."
7"The platform was lit by"
8"It pulsed slow, like a"
9"Uniforms held back a crowd"
10"Quinn stopped at the edge"
11"The body lay on its"
12"A man in his thirties."
13"Brown eyes narrowed."
14"The sharp jaw set."
15"DC Armitage said behind her"
16"Armitage crouched beside her and"
17"The chalk line was clean."
18"The man's shoes were polished."
19"Quinn ran a thumb along"
ratio0.88
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences117
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences28
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags16
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags16
fancyCount0
fancyTags(empty)
dialogueSentences40
tagDensity0.4
leniency0.8
rawRatio0
effectiveRatio0
82.1624%