Run: 2026-09-23-01M36P3E31DMFR0JBBEEXST8H9

Run Details

Duration:
38.4s
Cost:
$0.001420
Provider:
OpenAI

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 over the station threshold and stopped beneath the cracked enamel sign. CAMDEN TOWN, it read, though the letters had blistered and peeled until the name looked flayed. Beyond it, the disused platform ran under a ceiling braced with rusted girders. A line of market stalls filled the tracks. Their lamps burned blue, green, and the pale yellow of old teeth. At the far end, a vendor in a bird mask packed glass bottles into a crate while two customers argued over a strip of silver skin. Quinn took in the scene without touching anything. Her worn leather watch showed twenty-three minutes past midnight. The market should have been elsewhere. “Full moon was last week,” she said. A uniformed constable near the steps shifted his weight. “That’s what the witness told us. Market moves every full moon. Supposed to be under a church in Clerkenwell now.” “Supposed to be?” “Witness had a bone token. Came through the wall, found the body, ran for help.” “Convenient.” The constable glanced towards the crowd. Traders and buyers had gathered behind a cordon of chalk dust and police tape. Nobody looked frightened. A woman in a veil held a paper cup. A man with antlers braided into his hair watched Quinn as if he had paid for the show. Her colleague, Inspector Bell, waited beside a pillar tiled in cream and bottle green. He had taken off his coat and rolled up his sleeves. A thin cut marked his cheek. “Victim’s Nathaniel Voss,” he said. “Thirty-eight. Market broker. One stab wound to the chest. No weapon at the scene. No useful prints. The first team found him at half past ten.” Quinn looked at the body. Voss lay on the platform between two stalls, his boots aligned with the edge as if someone had placed him there after death. His dark coat had a neat, round hole over the heart. A pool of blood spread beneath him, then stopped in a clean arc, leaving the platform tiles beyond it dry. “Who moved him?” “Nobody. Paramedics checked for a pulse, then backed off. The blood’s his.” “Did they test it?” Bell’s mouth tightened. “They said it was blood.” “People say a lot.” She crouched at the edge of the pool. A faint copper smell reached her, threaded with something sharper, like struck matches. The wound looked narrow. Too narrow for the quantity of blood around him, too clean for the torn fabric. “What was the time of death?” “Between nine and ten. Coroner’s estimate.” “Based on?” “Temperature. Rigor.” Quinn looked at Voss’s hands. His fingers had curled against his palms. His cuffs were dry. The backs of his hands bore no smears, no dust, no blood. One thumbnail had split. Under it sat a black grit that caught the blue light. She leaned closer. Bell followed her gaze. “He worked in the market. Could be anything.” “Bag it.” A forensic officer knelt with a swab kit. Quinn watched as he scraped beneath the nail. The grit came away in a small, glossy flake. “Glass?” he asked. “Possibly.” She stood. Across the platform, a woman with curly red hair and round glasses watched from behind the tape. She clutched a worn leather satchel to her side. Quinn recognised her from the records room at the British Museum and from two previous cases involving things the Met had filed under suspicious coincidence. “Eva Kowalski,” Quinn called. “You’re a long way from the archives.” Eva tucked hair behind her left ear. “I was looking for Voss.” “Why?” “He sold records. Old ones. I needed to check a reference.” “At eleven at night?” “The Market doesn’t keep office hours.” Bell crossed his arms. “She found the body?” “I found him after the market staff had called for help,” Eva replied. “I never touched him.” “What records were you buying?” “None.” “Then why were you looking for Voss?” Eva’s eyes held on Quinn’s. “That’s not connected to his death.” “Let me decide what’s connected.” A low murmur passed through the gathered market crowd. One of the vendors snapped a shutter over his stall. The lights along the platform guttered, though no wind moved. Quinn pointed towards a narrow passage between stalls. “Who found the body first?” A tall man stepped forward. His grey beard was braided with copper wire. “I did. He was down when I came through. I shouted. The constable arrived after.” “You knew him?” “Everyone knew Voss.” “Did you see anyone leave?” “No.” “Did you hear anything?” The man scratched at his beard. “A bell. Just before I found him.” “What kind of bell?” “Small. One clear note.” Quinn looked at the station clock above the tracks. Its hands stood at 2:17. Dust had settled over the glass, but a fresh smear crossed the lower edge, as though someone had wiped it with a sleeve. “When did you hear it?” “Half past nine, give or take.” “Then why did you wait an hour to look?” The man’s brows drew together. “I was in my stall.” “You heard a bell, then found a body an hour later?” “I heard plenty of bells.” Bell stepped in. “He doesn’t remember exactly. This place is noisy.” “Then we need someone who remembers.” She turned towards Eva. “You were here before the police?” “By about ten minutes.” “You heard a bell?” Eva shook her head. Her fingers tightened on the satchel strap. “No.” Quinn studied her face, then the body. The wound. The blood. The dry cuffs. The line in the blood where the pool ended as if it had met an invisible border. She walked the length of the platform. Blue lamps changed to green, then yellow. Every stall cast a shadow towards the tracks, except for one: a locked iron cabinet beneath the old station clock. Its shadow fell towards the wall. “Who owns that?” The bearded man followed her look. “No one.” “Everything here belongs to someone.” “It’s been locked since the Market came back.” “Came back from where?” “Not my business.” Quinn tested the cabinet’s latch with a gloved finger. A thin copper seal crossed the hasp. The seal had been broken and pressed back into place. Its edges were too clean. “Tool kit,” she called. Bell moved beside her. “You think the killer hid the weapon in there?” “I think someone opened it.” The uniformed constable brought a pry bar. Quinn wrapped a cloth around the handle and lifted the latch. The cabinet door creaked inward. Inside sat three empty shelves and a shallow tray. A dark stain marked the tray’s centre. Quinn tilted her torch. The stain reflected blue, then black. “Blood?” Bell asked. “Not dried blood.” She leaned closer. The copper smell sharpened. Something in the cabinet hummed against her teeth. Eva came a step nearer. “Don’t touch the tray.” Quinn straightened. “You know what it is?” “I know what it might be.” “That isn’t an answer.” “It’s a binding plate. If it’s been used, touching it could—” “Could what?” Eva glanced at the watching crowd. “Change the evidence.” Bell gave a short laugh without humour. “That’s a useful phrase.” Quinn’s torch picked out fine scratches around the stain. They formed a broken circle, crossed by narrow lines that ran to the cabinet’s corners. The lines didn’t look like knife marks. They had the repeated, careful spacing of writing. She turned to the forensic officer. “Photograph it. No swabs yet.” The officer raised his camera. The flash fired once. The cabinet’s shadow jumped across the wall. For a fraction of a second, Quinn saw a second shadow beneath Voss’s body: a person crouched beside him, one hand pressed to his chest. Then the flash died, and the image vanished. She fixed her eyes on the platform tiles. “Bell, ask the paramedics what they saw when they checked him.” “They saw a dead man.” “Ask them.” Bell strode towards the cordon, pulling out his phone. Quinn remained beside the cabinet. She counted tiles from the body to the nearest stall, then from the stall to the old clock. The blood pool sat three tiles short of the cabinet’s shadow. Voss’s boots pointed towards the clock. His head pointed towards the tracks. Yet the blood had spread away from his chest, against the slight slope in the platform. She crouched and set a small evidence marker at the edge of the pool. A drop of moisture had gathered there. It trembled, then crawled uphill, towards the body. Quinn looked at the dead man’s coat. No blood on the buttons. No blood inside the open collar. The wound had been cut into fabric and skin after he was dead—or after the blood had left him. The pool was a footprint of sorts. A shape made to persuade. “Who moved him?” she asked. The bearded man lifted his chin. “I told you. Nobody.” “Then he walked here.” “He was dead.” “People can be moved without being carried.” She examined the tiles around his shoulders. No drag marks. No scuffed grit. But his hair lay flat on one side, pressed into a thin smear of dust. His coat had creases at the back, sharp and fresh, like he had been folded. Quinn looked at the cabinet again. The stain in the tray matched the dark smear beneath Voss’s thumbnail. The black grit had not come from a stall. It had come from inside the cabinet. She reached for her radio. “Get the witness from the station entrance. The one with the bone token.” The constable turned to go. “Hold on,” Eva said. “There wasn’t a witness.” Quinn’s gaze cut to her. Eva’s freckled face had lost colour. She tucked her hair behind her left ear, then pressed her hand against the satchel strap. “You said someone came through the wall,” Quinn said. “Who told you that?” “The constable.” The constable had not told her. Quinn had. Bell returned with his phone at his side. “Paramedics confirm he had no pulse when they arrived.” “Did they check his pupils?” “Not sure.” “Ask.” He frowned. “You think he was alive?” “I think the body was somewhere else when the wound was made. I think the blood was placed here. And I think somebody opened that cabinet after the killing.” “You’ve got no weapon, no suspect, and no time of death.” “I’ve got a false scene.” Quinn pointed to the body’s left hand. “The split nail. He scraped the cabinet tray. He was trying to get out.” The bearded man took a step back. Eva’s hand closed over something inside her satchel. Quinn noticed the movement. So did Bell. “Eva,” Quinn said, “take your hand out.” “I’m holding a book.” “Show me.” Eva hesitated, then opened the satchel. A brass compass rested on top of a stack of notebooks. Its casing carried a green patina. Fine protective sigils ringed the face. The needle spun in a tight circle, then stopped, pointing at the body. Quinn looked from the compass to the stain in the cabinet. The needle shuddered and turned. It pointed past Voss, towards the clock. A faint bell note sounded above them. Every face on the platform tilted towards the clock. The hands, fixed at 2:17, began to move. One tick. Another. Quinn drew her service weapon. “Clear the platform,” she ordered. No one moved. Bell lifted his palm towards the crowd. “You heard her. Back from the body.” The bearded man kept his eyes on the clock. “You shouldn’t have opened the cabinet.” “Then tell me what was in it,” Quinn said. A seam appeared in the tiled wall behind the clock. It widened by the width of a knife blade. Cold air slipped through, carrying the smell of wet stone and extinguished matches. The compass needle held steady on the gap. Quinn stepped between the wall and Voss’s body, weapon raised. Eva gripped the satchel with both hands. “Detective,” Eva said, “the Market isn’t in Camden.” Quinn watched the seam widen. “Then what’s under Camden?” “The place Voss came from.”
created_at"2026-09-23T08:28:48.615Z" 9/23/2026, 8:28:48 AM
model"openai/gpt-6-luna-20260922"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3420
moderation_latency(null)
generation_time38341
tokens_prompt1112
tokens_completion3165
native_tokens_prompt1009
native_tokens_completion2639
native_tokens_completion_images0
native_tokens_reasoning0
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"default"
usage0.0014204
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790152128-4JfvF7SwTLTaOZYGWFvZ"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790152128-rAvGFqrjrHcVpWOmC2tC"
upstream_id"resp_0ddf8bc026a2896b016ab38dc0b91487d186c41ee4ea816ba0"
provider_responses
0
endpoint_id"05e94e02-b9c2-4bbb-ba55-4082ee9ad687"
id"resp_0ddf8bc026a2896b016ab38dc0b91487d186c41ee4ea816ba0"
is_byokfalse
latency1866
model_permaslug"openai/gpt-6-luna-20260922"
provider_name"OpenAI"
status200
total_cost0.0014204
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
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
totalTags14
adverbTagCount0
adverbTags(empty)
dialogueSentences110
tagDensity0.127
leniency0.255
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount2005
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)
87.53% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount2005
totalAiIsms5
found
0
word"weight"
count1
1
word"aligned"
count1
2
word"pulse"
count2
3
word"trembled"
count1
highlights
0"weight"
1"aligned"
2"pulse"
3"trembled"
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
narrationSentences178
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences178
filterMatches
0"watch"
1"look"
hedgeMatches
0"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences274
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen29
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords2004
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions23
unquotedAttributions0
matches(empty)
16.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions72
wordCount1385
uniqueNames10
maxNameDensity2.31
worstName"Quinn"
maxWindowNameDensity4.5
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn32
Inspector1
Bell12
Voss7
British1
Museum1
Met1
Eva13
One3
persons
0"Harlow"
1"Quinn"
2"Bell"
3"Voss"
4"Met"
5"Eva"
6"One"
places
0"British"
globalScore0.345
windowScore0.167
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences115
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount2004
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences274
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs153
mean13.1
std13.01
cv0.993
sampleLengths
015
175
223
37
429
53
615
71
850
931
1031
115
1254
133
1412
154
168
174
1840
196
206
212
222
2343
243
2512
262
2725
283
291
3053
3111
3212
331
3411
354
366
378
3817
395
401
417
4211
435
4429
4513
4628
473
483
495
99.35% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences178
matches
0"was braided"
1"been broken"
2"been folded"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs241
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount0
flaggedSentences1
totalSentences274
ratio0.004
matches
0"The wound had been cut into fabric and skin after he was dead—or after the blood had left him."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1387
adjectiveStacks0
stackExamples(empty)
adverbCount20
adverbRatio0.014419610670511895
lyAdverbCount1
lyAdverbRatio0.0007209805335255948
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences274
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences274
mean7.31
std4.87
cv0.666
sampleLengths
015
116
213
38
412
526
68
79
86
97
109
1120
123
1315
141
156
1614
173
189
1918
2014
2111
226
235
2426
255
2623
2711
2820
293
3012
314
323
335
344
358
3613
374
3815
396
406
412
422
435
447
454
4612
474
4811
493
44.89% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats14
diversityRatio0.2956204379562044
totalSentences274
uniqueOpeners81
42.74% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences156
matches
0"Too narrow for the quantity"
1"Then the flash died, and"
ratio0.013
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount34
totalSentences156
matches
0"Their lamps burned blue, green,"
1"Her worn leather watch showed"
2"Her colleague, Inspector Bell, waited"
3"He had taken off his"
4"His dark coat had a"
5"She crouched at the edge"
6"His fingers had curled against"
7"His cuffs were dry."
8"She leaned closer."
9"She clutched a worn leather"
10"His grey beard was braided"
11"Its hands stood at 2:17."
12"She turned towards Eva."
13"Her fingers tightened on the"
14"She walked the length of"
15"Its shadow fell towards the"
16"Its edges were too clean."
17"She leaned closer."
18"They formed a broken circle,"
19"They had the repeated, careful"
ratio0.218
27.31% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount135
totalSentences156
matches
0"Detective Harlow Quinn stepped over"
1"CAMDEN TOWN, it read, though"
2"A line of market stalls"
3"Their lamps burned blue, green,"
4"Quinn took in the scene"
5"Her worn leather watch showed"
6"The market should have been"
7"A uniformed constable near the"
8"The constable glanced towards the"
9"Traders and buyers had gathered"
10"Nobody looked frightened."
11"A woman in a veil"
12"A man with antlers braided"
13"Her colleague, Inspector Bell, waited"
14"He had taken off his"
15"A thin cut marked his"
16"Quinn looked at the body."
17"Voss lay on the platform"
18"His dark coat had a"
19"A pool of blood spread"
ratio0.865
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences156
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences43
technicalSentenceCount1
matches
0"Voss lay on the platform between two stalls, his boots aligned with the edge as if someone had placed him there after death."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags14
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags14
fancyCount1
fancyTags
0"she ordered (order)"
dialogueSentences110
tagDensity0.127
leniency0.255
rawRatio0.071
effectiveRatio0.018
87.2827%