Run: 2026-07-09-01KX40DC8RNGE2K4PKNF21BPAN

Run Details

Duration:
28.9s
Cost:
$0.034653
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
The abandoned Tube station beneath Camden had worn three names in its lifetime, each one scraped from the tiled walls and replaced by another. Tonight, somebody had painted over all of them in black tar. Detective Harlow Quinn stopped at the edge of the platform. Below her, the tracks had vanished beneath a market. Canvas stalls crowded the rails. Lanterns hung from bent signal poles, each flame trapped in a jar of green liquid. A woman with a fox’s muzzle weighed blue teeth on brass scales. Two men in funeral coats haggled over a stoppered bottle that contained a thundercloud no larger than a fist. Somewhere beyond the stalls, a child laughed with too many voices. The air smelled of wet stone, burnt sugar, and old blood. Quinn checked her watch. The leather strap pressed a pale groove into her wrist. “Twenty-two minutes since the call,” she muttered. “Response time had gone to hell.” Eva Kowalski stood beside a rusted ticket barrier, her worn leather satchel hugged tight against her ribs. Her curly red hair had escaped its clip and formed a bright, unruly cloud around her freckled face. She tucked a strand behind her left ear, then looked at Quinn through round glasses. “You took the service stairs.” “I didn’t fancy the token route.” “You needed a bone token to get through the gates.” “I showed them a warrant card.” Eva glanced at the tall figure in a black stationmaster’s coat slumped beside the barrier. His skull shone beneath the lantern light. A strip of yellow police tape had been tied around one bony wrist. “That worked?” “It did after I told him I’d arrest him for obstruction.” A shout rose from the far end of the platform. “Human police! Keep your boots off the white line!” Quinn looked down. A chalked circle ran around a patch of cleared floor near the tracks. In its centre lay a dead man. “Sounds like an invitation.” Eva caught Quinn’s sleeve. “Harlow.” Quinn looked at her hand until Eva let go. “The Market moved in last night,” Eva went on. “Nobody outside the regulars should have known where it landed. If someone called you, they wanted you here.” “People wanted detectives at murder scenes. It was one of the more reassuring things about the job.” “That body wasn’t murdered in any normal sense.” “Then whoever did it had made my paperwork interesting.” She stepped over the chalk line. The market fell quieter as she approached. Stallholders leaned across their counters. A creature made of smoke folded itself into the doorway of an old maintenance room. Its amber eyes watched Quinn with the patient interest of a cat near an injured bird. The victim lay on his back between the rails. His shoes pointed toward the tunnel. His hands rested on his stomach, palms down. Someone had closed his eyes. He wore a grey three-piece suit, expensive but damp at the cuffs. A silver tie pin held a black feather. He had a narrow, bloodless face, hair combed flat against his scalp, and a blue tattoo at his throat: three linked circles, each crossed with a line. No blood stained the gravel. No wound marked the body. Quinn crouched. A constable in a high-vis vest stood beyond the chalk circle with a notebook in one hand and his phone in the other. He looked eighteen, pale, and furious at his own nausea. “Name?” “PC Fletcher, ma’am.” “Name of the dead man.” “Coroner’s office couldn’t get a print. No wallet. No phone. We found this in his inside pocket.” Fletcher held out an evidence bag. Inside lay a small brass compass. Verdigris stained its rim. Protective sigils covered the face in tight, hooked lines. The needle spun hard enough to tremble. Eva’s mouth tightened. “That was made by a Shade artisan.” Quinn took the bag. “You knew that from a glance?” “The shading around the sigils. Shade work always looked like it had been etched from the underside.” “Useful party trick.” “It’s a Veil Compass. It pointed to the nearest rift.” Quinn watched the needle whip clockwise, pause, then jerk towards the tunnel behind the corpse. “That tunnel?” “It should have pointed at one place. Not danced about like a terrified insect.” Fletcher cleared his throat. “Sergeant Baines reckoned the bloke had some sort of heart attack. There was no violence that anyone saw. He came through that tunnel around midnight, dropped right there, and never got up.” “Who saw him come through?” “Stall owners. Three of them. They all matched.” “Three witnesses matching didn’t make a fact. It made a rehearsal. Where’s Baines?” “Upstairs. He’s arguing with the forensic team about bringing equipment down.” Quinn handed the compass back but kept her fingers on the bag. “Why didn’t they?” Fletcher stared at the rails. “The team’s van lost power at the street. Then one of the cameras burned out. The other camera played footage from yesterday. There was some concern about contamination.” “Contamination from what?” The young constable swallowed. “Things.” Quinn looked back at the body. The man’s left cuff had snagged on a jagged stone. The fabric bore a smear of red-brown mud. Quinn leaned closer. The mud held pale threads, almost silver, woven through it. She touched nothing. Her eyes travelled down his coat, along the pressed seam of his trousers, to the polished leather shoes. The soles were clean. Not merely free of mud. Clean enough to reflect the lanterns. “Fletcher.” “Ma’am?” “You said he came through the tunnel.” “Yes.” “Did anyone say he walked?” The constable blinked. “No.” “Did anyone see him step onto this platform?” “Not exactly. They heard something. Then they saw him lying there.” Quinn rose. Eva had moved around the edge of the circle. She had opened a small notebook from her satchel and filled half a page with cramped handwriting. “The tattoo,” Eva murmured. “It belonged to the Knot of Saint Orun.” “Never heard of them.” “They had operated out of Prague during the nineteen twenties. Collectors, smugglers, ritualists. They believed doors had appetites.” “Doors?” “Anything that took a person from one place to another. Gates. mirrors. tunnels. Graves, under the right conditions.” Quinn studied the dark tunnel. Its mouth framed a blackness thick enough to look solid. A string of market lanterns had been hung just inside, but their light died after ten feet. “Did they kill people?” Eva’s glasses flashed green. “They fed people to thresholds.” Fletcher made a low, unhappy sound. Quinn ignored him. “If this man walked in from a portal, he would have picked up grit, oil, soot. This platform has fifty years of it. His shoes had none. His trouser hems were dry. His coat had tunnel dust on one shoulder, not the other.” “He could have been carried,” Fletcher offered. “By whom?” The constable looked towards the watching market crowd. Quinn followed his gaze. The fox-muzzled woman had gone back to her scales. The smoke creature had vanished. A vendor selling strings of tiny glass eyes covered his merchandise with a velvet cloth. Eva crouched near the victim’s right hand. “His fingernails had a black residue under them.” “Don’t touch.” “I hadn’t.” Quinn lowered herself beside the body. The man’s right index fingernail had broken at the corner. A smear of black clung beneath it, thick and glossy. She took out a penlight, angled its beam across the rails, and found three shallow grooves in the rusted metal. They ran parallel for six inches, ending beneath his shoulder. “Drag marks,” Fletcher blurted. “No.” Quinn leaned close. “Too narrow. Too evenly spaced.” Eva shifted nearer. “They looked like claw marks.” “Nothing with claws dragged him. The spacing matched his fingers.” The detective looked at the corpse’s right hand. Its nails had been scrubbed clean except for the broken index finger. A faint grey grit sat in the creases of his knuckles. “He had gripped the rail,” Quinn said. “Hard. He didn’t fall and die. Something pulled him across the track.” Eva looked towards the tunnel again. “The rift.” “Maybe.” “You didn’t believe that.” “I believed in evidence. The evidence had just developed terrible taste.” She stood and walked to the tunnel mouth. Fletcher hurried after her, then stopped when Quinn lifted one hand. “Stay with the body. Nobody moved it. Nobody covered it. If anyone told you the dead needed privacy, tell them they’d had all eternity to make arrangements.” The first lantern inside the tunnel hung from a cable wrapped around an old signal box. Its green flame burned without heat. Quinn held the evidence bag up. The compass needle stopped spinning. It pointed down. Not into the tunnel. At the ground beneath Quinn’s shoes. Eva reached into her satchel and removed a paperback book swollen with notes. She flipped through pages marked by scraps of ticket stubs and folded receipts. “The station sat above a disused maintenance shaft,” she said. “Victorian construction. It was sealed after a collapse.” “Where?” “Somewhere past the platform wall. This map was incomplete.” “Of course it was.” Quinn swept her light across the tiled wall. Black tar covered the old station signs, the advertisements, the cracked cream tiles. At knee height, one section of tile bore fresh scratches. Four vertical lines. A wider horizontal gouge beneath them. Fletcher called from behind them. “Detective!” Quinn turned. The dead man’s left hand had moved. His fingers lay open now, palm facing the ceiling. Something sat in the centre of it. A bone token, white as a milk tooth. The stationmaster at the barrier began to scream.
created_at"2026-07-09T17:57:05.949Z" 7/9/2026, 5:57:05 PM
model"openai/gpt-5.6-terra-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1357
moderation_latency(null)
generation_time28795
tokens_prompt1149
tokens_completion2835
native_tokens_prompt1009
native_tokens_completion2142
native_tokens_completion_images0
native_tokens_reasoning70
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"
usage0.0346525
router(null)
provider_responses
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endpoint_id"3cc89000-ae34-4dde-9c7d-5ce009c8af0b"
id"resp_06ff535f29223212016a4fe0f204048190bbdd091a837e6ecf"
is_byokfalse
latency210
model_permaslug"openai/gpt-5.6-terra-20260709"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1783619825-zEEs3sJMF8y1MenPi34g"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783619825-I04XT0fSQaLxfLFnwjWM"
upstream_id"resp_06ff535f29223212016a4fe0f204048190bbdd091a837e6ecf"
total_cost0.0346525
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
totalTags8
adverbTagCount1
adverbTags
0"Quinn leaned close [close]"
dialogueSentences76
tagDensity0.105
leniency0.211
rawRatio0.125
effectiveRatio0.026
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1593
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)
90.58% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1593
totalAiIsms3
found
0
word"stomach"
count1
1
word"etched"
count1
2
word"velvet"
count1
highlights
0"stomach"
1"etched"
2"velvet"
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
narrationSentences120
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences120
filterMatches
0"watch"
hedgeMatches
0"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences188
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen43
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1593
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions13
unquotedAttributions0
matches(empty)
25.99% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions50
wordCount1008
uniqueNames7
maxNameDensity2.48
worstName"Quinn"
maxWindowNameDensity4
worstWindowName"Quinn"
discoveredNames
Tube1
Camden1
Harlow1
Quinn25
Eva13
Kowalski1
Fletcher8
persons
0"Camden"
1"Harlow"
2"Quinn"
3"Eva"
4"Kowalski"
5"Fletcher"
places(empty)
globalScore0.26
windowScore0.333
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences79
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1593
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences188
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs133
mean11.98
std11.98
cv1
sampleLengths
035
110
29
362
411
514
613
750
85
96
1010
116
1235
132
1411
1510
169
1723
184
194
201
219
2227
2317
248
259
266
2743
2828
2947
305
315
322
3333
341
353
365
3717
386
3926
403
417
4210
4317
443
4510
4615
472
4814
494
96.49% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences120
matches
0"been tied"
1"been hung"
2"been scrubbed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs158
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences188
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1012
adjectiveStacks0
stackExamples(empty)
adverbCount19
adverbRatio0.018774703557312252
lyAdverbCount3
lyAdverbRatio0.0029644268774703555
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences188
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences188
mean8.47
std6.18
cv0.729
sampleLengths
024
111
210
39
45
515
612
719
811
911
104
1110
127
136
1417
1518
1615
175
186
1910
206
2115
227
2313
242
2511
2610
279
283
2913
307
314
324
331
349
359
3618
3717
388
399
406
417
425
4315
4416
459
466
478
485
4912
62.59% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.3882978723404255
totalSentences188
uniqueOpeners73
30.03% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences111
matches
0"Somewhere beyond the stalls, a"
ratio0.009
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount22
totalSentences111
matches
0"Her curly red hair had"
1"She tucked a strand behind"
2"His skull shone beneath the"
3"She stepped over the chalk"
4"Its amber eyes watched Quinn"
5"His shoes pointed toward the"
6"His hands rested on his"
7"He wore a grey three-piece"
8"He had a narrow, bloodless"
9"He looked eighteen, pale, and"
10"She touched nothing."
11"Her eyes travelled down his"
12"She had opened a small"
13"Its mouth framed a blackness"
14"She took out a penlight,"
15"They ran parallel for six"
16"Its nails had been scrubbed"
17"She stood and walked to"
18"Its green flame burned without"
19"It pointed down."
ratio0.198
27.57% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount96
totalSentences111
matches
0"The abandoned Tube station beneath"
1"Tonight, somebody had painted over"
2"Detective Harlow Quinn stopped at"
3"Canvas stalls crowded the rails."
4"Lanterns hung from bent signal"
5"A woman with a fox’s"
6"The air smelled of wet"
7"Quinn checked her watch."
8"The leather strap pressed a"
9"Eva Kowalski stood beside a"
10"Her curly red hair had"
11"She tucked a strand behind"
12"Eva glanced at the tall"
13"His skull shone beneath the"
14"A strip of yellow police"
15"A shout rose from the"
16"Quinn looked down."
17"A chalked circle ran around"
18"Eva caught Quinn’s sleeve."
19"Quinn looked at her hand"
ratio0.865
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences111
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences44
technicalSentenceCount1
matches
0"Two men in funeral coats haggled over a stoppered bottle that contained a thundercloud no larger than a fist."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags8
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount3
fancyTags
0"she muttered (mutter)"
1"Eva murmured (murmur)"
2"Fletcher blurted (blurt)"
dialogueSentences76
tagDensity0.066
leniency0.132
rawRatio0.6
effectiveRatio0.079
87.7751%