Run: 2026-03-09-01KK9QD1K54YMYGHTXRK63SSCY

Run Details

Duration:
2m 9s
Cost:
$0.073218
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 came down the maintenance stairs with one hand on the rail and the other closed around the bone token in her coat pocket. The station opened beneath her in a sweep of cracked cream tiles and rusted track, old Camden posters curling on the walls in strips, but the place had not stayed abandoned. Somebody had hung lamps from the dead signal gantries. Somebody had built stalls from railway sleepers and sheet metal. Somebody had dragged a whole market underground and dressed it in soot, candle wax, and secrecy. Police tape cut across the platform in yellow bands that looked childish against all that grime. A uniform at the bottom of the stairs swallowed when he saw her. “Ma’am. Thought you’d want first look.” Quinn stepped under the tape. Her worn leather watch caught the lamplight when she lifted it and checked the time. Half one. The station smelled wrong for a body. Not just blood. Charred sugar. Wet stone. A sharp metallic tang like old coins held in the mouth. She took in the dead man first because that was the anchor of any room, no matter how strange the room wanted to be. He lay on his back between two stalls, one hand open, one trapped under his hip. Mid-thirties. Clean shave. Good coat. Cashmere, dark grey, soaked black at the collar. His throat gaped in a neat line under the jaw, not ragged, not panicked, one controlled cut that had opened him from left to right. His pockets hung out. His shoes gleamed, one heel planted square on the dirty platform, the other twisted inward. Eva Kowalski crouched beside the body with her satchel open by her knee, curls falling over one lens of her round glasses. She tucked them behind her left ear when Quinn approached, then looked up with the expression she wore in archives and graves alike: alert, thin-faced, already halfway into a theory. “You brought the token.” Quinn glanced at her. “The constable on the door wouldn’t let me in without it.” “He was right.” Eva nodded towards the platform behind Quinn. “You crossed the threshold back there. You felt it.” Quinn had felt the air thicken around her shoulders for one cold second. She ignored that. “What have we got?” Eva rose, brushing grit off her skirt. “Someone staged a warding circle around him, then broke it at the north point. See the chalk? Salt mixed through it. That’s deliberate. If you cut the line there, you release whatever the circle held.” “Or someone with a bag of salt wanted a dramatic floor plan.” Eva’s mouth tightened. “This isn’t theatre.” “No,” Quinn muttered, looking at the body again. “It rarely is.” A broad man in a scene-of-crime suit ducked under the tape from the far end of the platform, hood hanging loose at his neck. Detective Sergeant Neil Graves. He carried a tablet and the kind of expression men wore when they thought the answer had arrived before the question. “Quinn. We’ve photographed everything.” He looked past her to Eva and lowered his voice without much success. “Your consultant’s got us chasing symbols.” Eva folded her arms. “They are symbols.” Graves ignored her. “Victim had his pockets turned. No ID. No phone. Cut throat. We found traces of ketamine in a vial under that stall, and half the booths are full of counterfeit tat or things I don’t want to touch without gloves. Dealers’ dispute, robbery, somebody got lively with a knife. Camden under the street instead of over it.” Quinn let him finish. Graves always needed to hear his own theory aloud before it felt real to him. “Cash?” He blinked. “What?” “Did robbery leave him with cash?” Graves glanced at his tablet. “Thirty-two quid in one inside pocket.” “One they forgot?” “Could’ve missed it.” Quinn crouched by the body. The tiles pressed cold through her trousers. She leaned over the wound, careful not to shadow the neck. The cut sat high and clean, almost tucked under the jawline, the sort of wound a practised hand made when it wanted speed and silence. Blood had soaked the collar, streamed down both sides of the neck, and pooled beneath the shoulders. Not enough on the floor. Not for that wound. The platform sloped slightly toward the tracks, and still the blood sat thick under him, too centred, too obedient. She touched the edge of his coat cuff with a gloved finger. Mud. Fine red grit. Not from the platform. The dust here lay grey, clotted with brake residue and plaster. This had come in from somewhere with clay soil. Graves shifted his weight. “What are you looking at?” “His shoes.” Graves looked at them because that was easier than asking another question. “Nice pair.” “Very.” Quinn traced the line of the sole with her eyes. The leather shone except for one scuff across the toe. He had not walked far in this place. Anyone who crossed this platform picked up black grease from the sleepers and dust from the tiles. His shoes looked as if someone had set him down here. Eva crouched again, peering where Quinn peered. “The circle—” “Was added after he got here.” Quinn pointed at the chalk line near the right shoulder. “See that smear? Chalk dragged over wool. If he’d been lying inside it when they drew it, the powder would sit against the cloth. Here it streaked across the nap. Whoever made it had to reach over him.” Eva leaned closer. Her freckles stood out against skin gone pale in the station light. “Then the ritual interpretation changes.” Graves let out a short breath through his nose. “Or it’s a scene dressed by idiots.” Quinn ignored him and opened the dead man’s left hand. The fingers had stiffened half-curled. A crescent of dark residue sat under the thumbnail. “Bag that.” The nearest SOCO officer moved in with a swab. Eva bent nearer, glasses sliding. “Wax.” “Black wax,” Quinn replied. “Not candle drips from those lamps. Different sheen.” She stood and turned slowly, taking in the market as a whole this time instead of body first. The stalls lined the platform in two ragged rows. Some had tarps thrown over their stock. One displayed strings of tiny glass bottles that caught the light in bruised colours. Another held trays of old keys, animal teeth, and watches without hands. A butcher’s block farther down showed gouges deep enough to split a knuckle. No stall owner remained. Not a single cup of tea. Not a dropped coat. People had emptied out fast and clean. On the opposite wall, old adverts peeled away from newer markings scratched into the tile. Not graffiti. Repeated shapes, cut with something sharp. Curves crossed by three short lines. Protective sigils, Eva would call them. To Quinn they looked like the same hand had returned again and again, marking territory. “How many witnesses?” Graves checked the tablet. “None worth having. Couple of homeless blokes heard shouting near the service stairs around ten. Patrol found the entrance after a call about lights under the grates by the canal. We came down and found this lot.” “Lights under the grates,” Quinn repeated. “No one saw people leave.” “There are tunnels all over down here.” “Then where are the footprints?” Graves frowned. Quinn pointed at the approach to the body. The dust held marks, but not the confusion a panicked crowd should have left. A few uniform prints from first responders. One set of slim-soled shoes that likely belonged to Eva. Before that, the platform around the corpse stayed oddly sparse. “Busy market, one violent death, and the floor looks swept.” Graves gave a shrug that tried to pass for confidence. “Could’ve cleared before the killing.” “Then why leave the lamps burning and the stock behind?” He had no answer ready. He looked back at the body instead, where most people looked when the room began to argue. Eva moved to the nearest stall and lifted the tarp with two fingers. Small brass instruments lay on black velvet, some with faces, some with needles, some made in shapes no surveyor would recognise. One of them sat apart from the rest, as if it had been dropped in haste. A small brass compass with a greenish patina along its hinge. Its face was etched with tiny marks that crowded the glass. Eva glanced over. “Quinn.” Quinn crossed to her. The compass fit in her palm with the weight of age. Verdigris rimmed the casing. The needle twitched, spun once, then drove hard toward the far wall, away from the tracks, away from north. Graves barked a laugh. “Souvenir nonsense.” Eva’s eyes sharpened. “That isn’t a souvenir. It’s a Veil Compass.” Quinn kept her gaze on the instrument. “A what.” “It points to tears in the boundary. Doorways. Crossings.” Eva watched the needle quiver. “People use them to find places they shouldn’t.” Graves folded his arms. “Boundary to where.” Eva looked at him as if he had asked where rain came from. “That depends on what made the hole.” Quinn closed the lid halfway, then let it open again. The needle snapped back to the same point on the tiled wall. “Found on the stall?” Eva nodded. “Not catalogued yet.” Graves stepped closer. “Even if I humour this, what does it prove?” Quinn walked toward the wall the needle favoured. Old station tiles changed halfway down from cream to bottle green. A shuttered kiosk sat there, iron grille rusted shut, but the compass pointed just to the left of it, where the wall should have been solid. She stopped three feet away. The floor here told a better story. Dust lay thinner in a rectangle. Not clean. Disturbed. Something heavy had stood there recently and been removed. Parallel scratches ran from the rectangle toward the body, shallow at first, then lost beneath the SOCO footmarks near the corpse. She crouched, touched one scratch, rubbed the black powder between finger and thumb. “Crate,” she murmured. Eva joined her. “Dragged?” “Rolled, then lifted.” Quinn pointed at small half-moon dents spaced in pairs. “Wheels.” Graves stared down. “You think someone wheeled the body in.” “I think someone brought something in and took it out.” She rose and faced the wall. The compass needle trembled so hard it ticked against the glass. The green tiles around the spot wore hairline cracks, but one crack ran too straight, a vertical seam from shoulder height to the skirting. Paint and soot had settled in it, then been disturbed near the latch level by a recent thumb. Not a wall. A concealed door skinned to look like one. Quinn glanced back at the corpse. Good coat. Clay on cuff. Black wax under nail. Pockets turned out, but cash left behind. A cut too clean for panic. Blood too little for where he lay. A staged circle. An emptied market. A hidden door in the wall. And a compass on a stall, abandoned in a place where nothing else had been abandoned by accident. She stepped back to the body once more and bent over his twisted leg. The right trouser hem had ridden up a fraction above the sock. There, tucked flat against the ankle with elastic cord, sat a slim leather wallet the first sweep had missed. Quinn looked up at Graves. “Robbery?” His face changed shape. A SOCO officer hurried in with evidence bags. Quinn held out her hand. “Cut the cord. Careful.” The wallet came free. Inside sat a driver’s licence, three bank cards, and a folded square of paper thick with grease from handling. Quinn opened the paper. A map, hand-drawn. Not of streets above. Tunnels. Arrows. Notes in cramped writing. One mark circled twice in red pencil beside a single word. Gate. Eva inhaled through her teeth. Graves leaned over her shoulder. “What the hell is that.” Quinn handed him the licence instead. “Victim’s name is Daniel Mercer. Start with everything he did today. Who he called, where he drove, why he came underground dressed for Mayfair and hid his wallet at his ankle.” She turned back to the wall and lifted the compass again. The needle struck the same point. “Then get me a locksmith.” Graves still held the licence, but his earlier theory had drained out of him. “For what.” Quinn touched the seam in the tile with one gloved fingertip. “For the real crime scene.”
created_at"2026-03-09T16:38:06.192Z" 3/9/2026, 4:38:06 PM
model"openai/gpt-5.4-20260305"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency59146
moderation_latency(null)
generation_time128889
tokens_prompt1149
tokens_completion3319
native_tokens_prompt1009
native_tokens_completion4713
native_tokens_completion_images0
native_tokens_reasoning2070
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
usage0.0732175
router(null)
provider_responses
0
endpoint_id"9ff5625c-403f-4d7f-b895-58ac7295062c"
id"resp_076ab3fddde389380169aef76e4d808190a0e21c296eeac81b"
is_byokfalse
latency218
model_permaslug"openai/gpt-5.4-20260305"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1773074286-EnbHjp8tu9WERbyUBsCd"
upstream_id"resp_076ab3fddde389380169aef76e4d808190a0e21c296eeac81b"
total_cost0.0732175
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags9
adverbTagCount0
adverbTags(empty)
dialogueSentences67
tagDensity0.134
leniency0.269
rawRatio0
effectiveRatio0
92.75% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount2069
totalAiIsmAdverbs3
found
0
adverb"slightly"
count1
1
adverb"very"
count1
2
adverb"slowly"
count1
highlights
0"slightly"
1"very"
2"slowly"
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)
83.08% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount2069
totalAiIsms7
found
0
word"silence"
count1
1
word"weight"
count2
2
word"traced"
count1
3
word"velvet"
count1
4
word"etched"
count1
5
word"trembled"
count1
highlights
0"silence"
1"weight"
2"traced"
3"velvet"
4"etched"
5"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
filterCount1
hedgeCount2
narrationSentences178
filterMatches
0"watch"
hedgeMatches
0"tried to"
1"began 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
maxSentenceWordsSeen57
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords2069
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
50.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions76
wordCount1589
uniqueNames10
maxNameDensity1.76
worstName"Quinn"
maxWindowNameDensity3.5
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn28
Camden1
Kowalski1
Sergeant1
Neil1
Graves17
Eva19
Somebody3
One4
persons
0"Harlow"
1"Quinn"
2"Kowalski"
3"Sergeant"
4"Neil"
5"Graves"
6"Eva"
7"Somebody"
8"One"
places(empty)
globalScore0.619
windowScore0.5
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences108
glossingSentenceCount1
matches
0"looked like the same hand had returned ag"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount2069
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
totalParagraphs130
mean15.92
std19.27
cv1.211
sampleLengths
092
116
213
36
447
524
673
752
84
94
1011
1119
1216
134
147
1535
1612
173
183
1911
2049
2123
224
233
243
2557
2619
271
282
291
306
315
326
333
343
3523
3670
3712
384
3924
404
415
422
4312
442
451
4656
477
482
4954
95.41% Passive voice overuse
Target: ≤2% passive sentences
passiveCount5
totalSentences178
matches
0"been dropped"
1"was etched"
2"been removed"
3"been disturbed"
4"been abandoned"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs268
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
wordCount1597
adjectiveStacks0
stackExamples(empty)
adverbCount57
adverbRatio0.035691922354414526
lyAdverbCount5
lyAdverbRatio0.0031308703819661866
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
mean8.77
std7.68
cv0.876
sampleLengths
026
131
29
310
416
516
613
76
85
915
102
117
123
132
142
1511
1624
1716
181
192
202
218
2225
234
2415
2522
2630
274
284
2911
3010
319
3213
333
344
357
3635
3712
383
393
408
413
4224
434
4421
4517
466
474
483
493
61.86% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats9
diversityRatio0.3940677966101695
totalSentences236
uniqueOpeners93
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences158
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount25
totalSentences158
matches
0"Her worn leather watch caught"
1"She took in the dead"
2"He lay on his back"
3"His throat gaped in a"
4"His pockets hung out."
5"His shoes gleamed, one heel"
6"She tucked them behind her"
7"She ignored that."
8"He carried a tablet and"
9"He looked past her to"
10"She leaned over the wound,"
11"She touched the edge of"
12"He had not walked far"
13"His shoes looked as if"
14"Her freckles stood out against"
15"She stood and turned slowly,"
16"He had no answer ready."
17"He looked back at the"
18"Its face was etched with"
19"She stopped three feet away."
ratio0.158
45.44% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount131
totalSentences158
matches
0"Detective Harlow Quinn came down"
1"The station opened beneath her"
2"Somebody had hung lamps from"
3"Somebody had built stalls from"
4"Somebody had dragged a whole"
5"Police tape cut across the"
6"A uniform at the bottom"
7"Quinn stepped under the tape."
8"Her worn leather watch caught"
9"The station smelled wrong for"
10"A sharp metallic tang like"
11"She took in the dead"
12"He lay on his back"
13"Cashmere, dark grey, soaked black"
14"His throat gaped in a"
15"His pockets hung out."
16"His shoes gleamed, one heel"
17"Eva Kowalski crouched beside the"
18"She tucked them behind her"
19"Quinn glanced at her."
ratio0.829
63.29% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences158
matches
0"To Quinn they looked like"
1"Before that, the platform around"
ratio0.013
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences68
technicalSentenceCount2
matches
0"His throat gaped in a neat line under the jaw, not ragged, not panicked, one controlled cut that had opened him from left to right."
1"His shoes looked as if someone had set him down here."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags9
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount3
fancyTags
0"Quinn muttered (mutter)"
1"Quinn repeated (repeat)"
2"she murmured (murmur)"
dialogueSentences67
tagDensity0.06
leniency0.119
rawRatio0.75
effectiveRatio0.09
89.7280%