Run: 2026-07-09-01KX410PT9YSRG6VY6SK9REXZV

Run Details

Duration:
18.1s
Cost:
$0.014869
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 ducked beneath the yellow tape and entered the abandoned Tube station. The platform lamps had failed years ago, yet pale light floated above the tracks. It gathered in the dust, trembled across the tiled walls and threw the crime scene into a colourless wash. The old station sign read CAMDEN VALE in cracked blue letters. Someone had painted over the final word, but the original name still showed beneath the grime. A body lay beside the disused ticket booth. Quinn stopped three paces inside the cordon. Her leather watch pressed against her wrist as she lifted her left hand and checked the time. 02:17. “Late,” Detective Sergeant Pell called from the platform. “You missed the first sweep.” Quinn looked at him. “How did you manage without me?” Pell stood over the body in a white forensic suit, broad shoulders filling the space between two iron pillars. His boots left damp prints in the dust. A torch hung from one hand, its beam fixed on the corpse. “Victim’s a man. Mid-thirties. No identification. One stab wound below the ribs. Weapon’s gone. We’ve got blood, shoe marks and a witness.” “Name?” “Eva Kowalski.” Quinn turned towards the far end of the platform. A woman sat on a wooden crate beneath a poster advertising a vanished theatre production. Eva Kowalski had drawn her knees together and clasped both hands around the strap of her worn leather satchel. Curly red hair spilled over her shoulders. She kept tucking a strand behind her left ear, then doing it again when it fell loose. Her round glasses reflected the floating station light. Quinn crossed the platform. “Miss Kowalski.” Eva looked up. Her green eyes moved over Quinn’s cropped salt-and-pepper hair, sharp jaw and uniform-cut coat. “You’re the detective.” “Detective Quinn. Tell me what happened.” Eva glanced at the body. “I found him.” “That wasn’t my question.” “I came through the tunnel. I heard a cry. When I reached the platform, he was already on the ground.” “Were you alone?” “Yes.” “Why were you in the tunnel?” Eva’s fingers tightened on the satchel strap. “I had business here.” “At two in the morning?” “This station wasn’t always abandoned.” Quinn let the silence sit between them. Behind Eva, the old poster peeled from the wall in strips. Beneath it, someone had drawn a circle of interlocking lines in black chalk. Pell approached, his torch swinging at his side. “She’s an archivist,” he said. “Works at the British Museum. Her identification checks out. She came down here to meet the victim, from the look of it.” Eva’s mouth tightened. “I didn’t know him.” “Her fingerprints are on the ticket booth,” Pell continued. “We found a bone token in her pocket. She says she doesn’t know how it got there.” Quinn looked down. The object rested in an evidence bag on the edge of the crate. It was a small, polished piece of bone, darkened with age. A narrow groove ran around its centre. No blood marked it. No dust clung to its surface. “Where did you find that?” “Right pocket,” Pell replied. “I didn’t put it there,” Eva said. “You had a good reason to be here,” Quinn told her. “That’s enough for now.” Eva tucked her hair behind her ear again. “I came to collect a book.” “From a dead man?” “From someone who was meant to bring it.” “Who?” Eva looked past Quinn towards the old sign. “A dealer.” Pell gave a short laugh. “The underground market story.” Quinn turned to him. “You’ve heard it?” “I’ve heard plenty. Hidden stalls beneath London. Ghost merchants. Cursed jewellery. A Tube station that moves every full moon.” Eva’s gaze sharpened. “It does move.” Pell’s laugh died. Quinn crouched beside the corpse. The victim lay on his back, one hand curled beneath his chest. He wore a dark wool coat, clean boots and a silver ring on his right index finger. The wound sat below the ribs, slightly left of centre. Blood had soaked through the shirt and spread beneath him in a thin, dark fan. Quinn studied the pool. “Where’s the rest?” Pell frowned. “What?” “Blood.” “He bled out.” “A wound like this should have soaked the coat, the shirt, the floor. Instead we’ve got a shallow pool and a neat edge.” Quinn touched the dust beside it with a gloved finger. “No drag marks. No disturbance.” “He might have been killed here.” “Then why did the blood stop at the tile seam?” Pell crouched beside her. “Because the floor slopes.” “The floor slopes towards the tracks. The blood would have run downhill.” He aimed the torch at the seam. A line of rust-red staining crossed the tile and vanished beneath the body. Quinn leaned closer. The victim’s coat had dried dust on its shoulders and back, but no dust marked the blood-soaked fabric. The corpse had not fallen. Someone had placed him there. “Turn him,” she said. Pell hesitated. “Forensics are on their way.” “Turn him.” He called for a constable. Together they rolled the body onto its side. A dark smear marked the victim’s back. Not blood. Soot, rubbed in a crescent from the right shoulder to the waist. Quinn looked towards the tracks. The rails ended at a brick wall twenty yards away. Beyond it, the tunnel mouth had been sealed with concrete. No train had passed through Camden Vale in decades. She rose. “Why is there soot on his back?” Pell shone the torch along the wall. “Old station. There’s soot everywhere.” “Not in a clean arc. Not beneath him.” Eva stood from the crate. “He didn’t die here.” Pell turned on her. “You said you found him here.” “I found him lying here.” Quinn studied Eva’s face. Fear had given way to concentration. The woman’s eyes had fixed on the chalk symbol beneath the poster. “You know what that is,” Quinn said. Eva’s hand went to her hair. “It’s a ward.” “A ward against what?” “Access.” Pell folded his arms. “There’s no such thing.” Eva opened her satchel and pulled out a narrow notebook with a cracked brown cover. Several books filled the rest of the bag, their spines stamped with library markings and handwritten notes. She flipped through the notebook until she found a page crowded with diagrams. “Those lines form a threshold seal,” she said. “They mark a passage.” “Into what?” “Somewhere else.” Pell shook his head. “We’re standing under Camden.” Eva pointed at the tiled wall. “You’re standing beside it.” Quinn followed her finger. At first she saw only the old poster, the chalk circle and a row of chipped tiles. Then the pattern separated itself from the damage. Three tiles had been replaced with newer ones. Their grout formed a narrow rectangle, too straight to belong to the station’s decay. Quinn drew her penknife and scraped at the grout. A thin brass line appeared beneath it. “Pell. Get a pry bar.” He didn’t move. “We don’t know what’s behind that wall.” “That’s why I want it opened.” Eva stepped closer. “You shouldn’t.” Quinn looked at her. “You’ve spent the last five minutes telling me the station hides a passage. Now you’re worried about what’s behind it?” “I’m worried about who put him through it.” A constable brought the pry bar. Quinn took it and wedged the flat end into the seam. The metal groaned. Dust spilled over her gloves. She put her weight behind the tool, and one of the replacement tiles cracked. Cold air touched her face. It carried the smell of wet stone, candle smoke and something metallic. Pell swore. The tile came free. Behind it lay a narrow cavity, deep enough for a man to crawl through. The brickwork stopped after a foot. Beyond it, darkness opened onto a platform that did not belong beneath Camden Vale. Lights glimmered along its edges. Stalls crowded the far side, draped in black cloth and red velvet. Glass jars shone on shelves. A woman with antlers watched from behind a counter. A man with skin like wet ash leaned over a display of silver knives. Quinn kept one hand on the pry bar. Pell took a step back. “What is this?” Eva’s voice dropped. “The Veil Market.” The name seemed to settle into the station. Quinn glanced at the victim. His blood had stained the tile, but none of it crossed the threshold. The soot on his back matched the black dust coating the passage floor. His boots carried a different residue: pale grit, not the brown dust of Camden Vale. Someone had dragged him from the market and placed him beside the booth. A small object caught the floating light beneath the body’s hand. Quinn knelt and reached for it. The brass compass fitted neatly into her palm. Verdigris mottled its casing. Protective sigils covered the face, and the needle spun once before fixing towards the open passage. Then it jerked. The point swung past the market, past the tunnel, and settled on Eva Kowalski. Eva went still. Pell raised his hand towards his holster. “What is that?” Quinn held the compass between them. Eva’s lips parted. “Put it away.” “Why?” “Because it doesn’t point towards people.” The needle trembled, aimed at Eva’s chest. Quinn watched the compass, then the blood, then the untouched dust around the body. “You didn’t find him,” she said. Eva’s face tightened. “I told you what I saw.” “You saw him after someone brought him through that passage. You knew where to look. You knew the seal. You carried the token that opened it.” “I carried no such thing.” “The token was planted in your pocket, but the compass wasn’t.” Quinn closed her fingers around the brass casing. “This came from the victim. It’s attuned to a rift. It points to the nearest one.” Eva backed towards the crate. “Detective—” “Who was he?” Eva tucked her hair behind her left ear. This time her hand shook. Pell stepped towards her. “Answer her.” The lights along the hidden platform flickered. Beyond the opening, stalls shifted in the dark. Somewhere inside the market, glass shattered. Eva stared at the compass needle. “He was called Marius Venn,” she said. “He sold information.” “What information?” “The kind that gets people killed.” “Did he sell you a book?” “No.” Eva’s gaze lifted to Quinn’s. “He sold me a name.” Quinn held the compass steady. “Whose?” Eva’s fingers closed around the strap of her satchel. “DS Morris.”
created_at"2026-07-09T18:07:39.347Z" 7/9/2026, 6:07:39 PM
model"openai/gpt-5.6-luna-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency445
moderation_latency(null)
generation_time17592
tokens_prompt1149
tokens_completion2939
native_tokens_prompt1009
native_tokens_completion2310
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"
usage0.014869
router(null)
provider_responses
0
endpoint_id"eebea444-34a5-4642-a766-cb319471d33a"
id"resp_0b78bdb0d81948c2016a4fe36b69c081908316a9c17b6bc80a"
is_byokfalse
latency189
model_permaslug"openai/gpt-5.6-luna-20260709"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1783620459-CgvSX5qTRUYQCWRbIAUl"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783620459-RWZ4GmmdVmAT0L50uxmn"
upstream_id"resp_0b78bdb0d81948c2016a4fe36b69c081908316a9c17b6bc80a"
total_cost0.014869
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags14
adverbTagCount0
adverbTags(empty)
dialogueSentences97
tagDensity0.144
leniency0.289
rawRatio0
effectiveRatio0
97.12% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1739
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)
79.87% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1739
totalAiIsms7
found
0
word"trembled"
count2
1
word"silence"
count1
2
word"weight"
count1
3
word"velvet"
count1
4
word"flickered"
count1
5
word"shattered"
count1
highlights
0"trembled"
1"silence"
2"weight"
3"velvet"
4"flickered"
5"shattered"
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
narrationSentences153
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences153
filterMatches
0"watch"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences236
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen33
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1739
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions15
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions86
wordCount1190
uniqueNames9
maxNameDensity2.52
worstName"Quinn"
maxWindowNameDensity5
worstWindowName"Eva"
discoveredNames
Harlow1
Quinn30
Tube1
Sergeant1
Pell18
Kowalski2
Eva27
Camden3
Vale3
persons
0"Harlow"
1"Quinn"
2"Sergeant"
3"Pell"
4"Kowalski"
5"Eva"
places
0"Camden"
globalScore0.239
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences90
glossingSentenceCount1
matches
0"appeared beneath it"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1739
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences236
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs143
mean12.16
std12.76
cv1.049
sampleLengths
014
160
28
324
41
513
610
739
822
91
102
119
1258
138
144
152
1617
173
186
198
204
2120
223
231
246
2511
265
275
2831
298
3027
317
3226
333
3441
355
364
377
3815
3914
404
418
421
4310
449
457
4619
476
483
495
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences153
matches
0"been sealed"
1"been replaced"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs206
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences236
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1195
adjectiveStacks0
stackExamples(empty)
adverbCount18
adverbRatio0.01506276150627615
lyAdverbCount4
lyAdverbRatio0.0033472803347280333
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences236
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences236
mean7.37
std5.21
cv0.708
sampleLengths
014
114
219
311
416
58
67
717
81
98
105
114
126
1319
148
1512
1622
171
182
199
2015
2119
227
2317
248
254
262
273
2814
293
306
315
323
334
3420
353
361
376
387
394
405
415
427
4311
4413
458
465
4722
483
494
47.45% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.28936170212765955
totalSentences235
uniqueOpeners68
72.46% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences138
matches
0"Then the pattern separated itself"
1"Then it jerked."
2"Somewhere inside the market, glass"
ratio0.022
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount17
totalSentences138
matches
0"It gathered in the dust,"
1"Her leather watch pressed against"
2"His boots left damp prints"
3"She kept tucking a strand"
4"Her round glasses reflected the"
5"Her green eyes moved over"
6"It was a small, polished"
7"He wore a dark wool"
8"He aimed the torch at"
9"He called for a constable."
10"She flipped through the notebook"
11"Their grout formed a narrow"
12"He didn’t move."
13"She put her weight behind"
14"It carried the smell of"
15"His blood had stained the"
16"His boots carried a different"
ratio0.123
28.84% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount119
totalSentences138
matches
0"Detective Harlow Quinn ducked beneath"
1"The platform lamps had failed"
2"It gathered in the dust,"
3"The old station sign read"
4"Someone had painted over the"
5"A body lay beside the"
6"Quinn stopped three paces inside"
7"Her leather watch pressed against"
8"Detective Sergeant Pell called from"
9"Quinn looked at him."
10"Pell stood over the body"
11"His boots left damp prints"
12"A torch hung from one"
13"Quinn turned towards the far"
14"A woman sat on a"
15"Eva Kowalski had drawn her"
16"She kept tucking a strand"
17"Her round glasses reflected the"
18"Quinn crossed the platform."
19"Eva looked up."
ratio0.862
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences138
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences46
technicalSentenceCount0
matches(empty)
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
totalTags11
fancyCount1
fancyTags
0"Pell continued (continue)"
dialogueSentences97
tagDensity0.113
leniency0.227
rawRatio0.091
effectiveRatio0.021
87.5250%