Run: 2026-03-18-01KM0AGKTMSF6ZKXA4K3YCHW6M

Run Details

Duration:
15.8s
Cost:
$0.012754
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 tunnel breathed cold damp air through the broken stairwell beneath Camden, carrying the smell of wet concrete, old electricity, and something sharper that sat on the back of the tongue like metal. Detective Harlow Quinn paused at the yellow tape and looked down into the abandoned Tube station. A single sodium work light had been dragged to the platform edge. Its cone cut across cracked tiles, a graffiti-smeared wall, and a body laid on the far side of the platform where the original line map had peeled from the tiles in long strips. Uniforms moved in careful, clipped paths around it. Boots rang against the station floor. Voices echoed and broke apart in the dark. Quinn stepped under the tape and glanced at the young constable holding the perimeter. “Who’s in charge?” The constable straightened. “DS Patel, ma’am. Forensics are on the platform and—” He stopped when she kept walking. “Detective Quinn, there’s no lift access. We had to bring everyone down by the stairs.” “I got that.” Her leather watch rested against her wrist as she tucked her coat tighter and descended. The steps shivered under each footfall. At the bottom, the station opened wide and wrong, a shell of tiled arches and rusted signage, all of it too intact for a place long sealed away from the public. Someone had painted over the old station name. Someone else had scratched symbols into the fresh paint, too neat to be random vandalism. Quinn’s gaze snagged on them. A bent rail chair sat on the platform. A thermos lay beside it, lid off. A half-eaten bag of crisps had spilled across the tile. None of it belonged to a mugging, and none of it belonged to a body dumped in secret. Patel stood by the edge of the platform with a tablet in one hand and a tired crease between his brows. He was all sharp elbows and too much coffee, the kind of detective who tried to fill dead air before it settled. He glanced up. “Quinn. Didn’t expect you this fast.” “You called.” She looked past him at the body. “What have I got?” He shifted his weight and nodded toward the scene. “Male, early thirties. No wallet, no phone on him. One gunshot wound to the chest. Exit wound through the back. Caught on the west platform wall. No immediate sign of struggle.” Quinn took in the scene in a single slow sweep. The corpse lay on its back, one arm bent awkwardly beneath him, the other flung wide as if he had reached for something out of frame. Blood had pooled under his shoulder and spread in a dark fan toward the platform drain. His coat had ridden up enough to show a shoulder holster beneath it, empty. His shoes were polished. His cuffs clean. She crouched at the tape line and stared at the blood pattern. A few droplets marked a short trail from the body toward the stairwell, each one landing in a neat stagger. “He moved after he was hit,” she said. Patel nodded. “Few steps. Then he folded.” Quinn pointed at the far wall. “And that.” Patel followed her gaze. The bullet impact sat low in the tile, but the spatter climbed higher in a thin cone, much higher than it should have. “Shot from the platform,” he said. “Angle lines up.” “Not unless he was lying down.” Patel folded his arms. “Or the shooter was elevated.” Quinn let the silence sit. She studied the wall, the body, the staircase, the chair, the scraps of crisps on the floor. “Who found him?” “Station maintenance crew.” Patel flicked a thumb toward a man near the far pillar, pale-faced in a reflective jacket. “They came in through the service route. Found the door forced from the inside.” Quinn rose and walked to the chair. No dust. Recent use. The thermos cap had rolled under the seat. She crouched and picked it up with gloved fingers. Coffee smell. Bitter and stale. “Your man was waiting.” Patel gave a short nod. “That’s our read. They think some kind of meet went bad.” “Who’s they?” “Uniform. Most of them. Firearms, too.” Quinn looked at him. “Most of them aren’t looking at the rest of it.” Patel’s mouth twitched, half irritation, half agreement he didn’t want to hand over. “And what’s the rest of it?” She turned and pointed at the station wall behind the body, where the graffiti symbols sat layered over older marks, some painted, some scratched deep into tile. “This place wasn’t empty long enough for a clean sit-down. Too much personal clutter. Food. Drink. Chair. He’d been here long enough to get comfortable. Yet his coat’s still buttoned. Shoes are clean. No grit in the seams.” She crouched by the boots and ran a finger above the sole, not touching. “See that?” Patel leaned in. A thin ridge of pale dust clung to the tread. “Lime?” he guessed. “Chalk.” She looked up. “Masonic? No. Crushed plaster.” He blinked. “And?” “And it means he walked through somewhere fresh. Somewhere with broken masonry. Not a station corridor. A sealed room. Maybe a wall cavity. Somewhere he had to squeeze out of.” Patel stared at her for a beat, then looked toward the service tunnel. “We found the door forced.” “No. You found the door opened from the inside after someone else left.” Quinn straightened and brushed grit from her gloves. “That’s different.” A gust rolled through the station, lifting the paper edge of an old advert. The lights shivered. Somewhere in the dark beyond the platform, water dripped with slow patience. One of the forensics techs approached with a small evidence tray. “Detective, we’ve bagged the shell casing. Nine mil. Fresh. Only one round accounted for.” Quinn took the tray and held it close to the light. The casing gleamed brass, the mouth darkened with residue. She turned it once. Once more. The primer had a shallow dent on the edge, off centre. “Jam?” she asked. “No. Ejection mark’s clean.” Quinn passed the casing back. “Then it wasn’t fired from a standard slide.” The tech frowned, uncertain. Patel caught the expression and stepped in. “What are you seeing?” She pointed to the casing. “This round wasn’t cycled by a normal pistol. The impact’s wrong. The strike hits off line and the ejection’s too neat. Whoever discharged it used a modified weapon, or something made to look like one.” Patel’s eyes narrowed. “You’re saying what, exactly?” Quinn looked at the body again. The dead man’s left hand had curled into a fist, but not tight enough to hide what he held. A pale edge showed between his fingers. She crossed to him and crouched, then opened the hand with careful pressure. A small brass compass rested in the dead man’s palm. The casing had turned green with age. Fine sigils ringed the face, scratched so precisely they looked cut rather than etched. The needle shook once, then swung hard toward the east wall. Patel went still. Quinn felt the skin between her shoulders tighten. “Don’t touch it.” He had already stopped moving. “Is that evidence?” “Everything here was evidence until someone made it else.” She angled the compass and watched the needle twitch, then lock again. It didn’t point at the tunnel, the body, or the stairwell. It pointed at the tiled wall just beyond the platform bench, where a strip of graffiti covered cracked plaster. Her gaze sharpened. The wall sat wrong. A patch in the tile pattern had been done with more care than the rest of the station. The grout lines ran clean, but the colour didn’t match. A few tiles reflected light differently, as if the surface had been fitted recently. Patel followed her line of sight. “That wall?” “That wall.” He looked unconvinced. “It’s old damage.” Quinn stood and stepped closer, holding the compass at her side. The needle pulled so hard toward the patch that it trembled. She traced the tile edges with her eyes. The seams were too straight. Too new. A station wall that old would have bowed, cracked, shifted. This one sat flush. She knelt and pressed two fingers against one tile. It gave a fraction. “Back up.” Patel did, then called to the nearest constable, “Get me a pry bar. And a camera. Now.” Quinn kept her eyes on the wall. “You found the shooter in a station nobody uses. He dies here, but the compass says there’s a breach behind tile and plaster. That’s not a turf meet. That’s a handoff.” Patel’s jaw tightened. “A handoff of what?” “Information. Object. Person.” She looked down at the dead man. “Maybe all three.” The maintenance crewman near the pillar had gone grey around the mouth. He kept glancing from the body to the wall like he wanted to bolt. Quinn caught the movement and turned. “You. You knew this station was used.” His eyes widened. “No, officer. I only—” “Don’t lie to me in a room with no exits.” He swallowed. “We came down for a burst pipe. That’s all. The door was open. We heard shouting. Then the bang.” “What shouting?” He stared at the floor. “Not English.” Patel snapped his head up. “What language?” The crewman shook his head. “I don’t know. Sounded wrong.” Quinn watched him for a second, then turned back to the wall as the constable returned with a pry bar. The metal struck tile, and the sound rang too sharply in the enclosed station. “Careful,” Quinn muttered. Patel took the bar and tested the seam himself, sliding the tip under one tile edge. It lifted with a wet crack. Behind it lay blackness and old brick. A stale draft slid out through the gap. Quinn inhaled once and caught the scent again, sharper now beneath the damp concrete. Ozone. Cold earth. Something sour, like flowers left too long in a closed room. Patel stared into the opening. “There’s a cavity.” “No.” Quinn stepped closer and peered past the loosened tile. “There’s a passage.” A constable shone a torch inside. The beam vanished into a narrow opening just wide enough for a person to crawl through. Brick lined the sides, but the edges had been cut clean. Fresh mortar marked the frame. Patel swore under his breath. “This station shouldn’t connect to anything.” Quinn glanced at the compass again. The needle now pointed directly into the gap. “That man didn’t die here,” she said. “He died after coming through.” Patel looked at the body, then at the passage, then back at her. “You’re suggesting he was shot somewhere else and dragged back?” “No.” Quinn crouched beside the corpse and pressed two fingers to the blood near his jacket seam, not the pool but the thinner smear toward the stairwell. “The blood’s still tacky. He crossed this platform after the shot. He was bleeding and moving. He stopped here because he had to. Maybe he was heading for this passage. Maybe he heard someone behind him. Maybe he ran from the other side.” Patel dragged a hand over his mouth. “Then who opened it?” Quinn lifted her head and looked at the compass in her palm. The needle kept quivering toward the dark. “Someone who knew it was there.” The work light buzzed overhead. In the tunnel below, water dripped faster, tapping at stone with a steady, impatient rhythm. Quinn rose and brushed her hands against her coat. “Get me everything on the victim. Prints, phone records, financials, associates. Check restricted channels, unofficial too. I want to know why a man with a holster and a hidden passage met in a dead station under Camden.” Patel nodded once, already reaching for his tablet. “And the compass?” She closed her fingers around the verdigris brass and felt its cold edge press into her glove. “Bag it,” she said. “And clear that wall. I want to see what he was trying to reach.” A uniform moved toward the passage with a torch, and the beam slid over brick, old mortar, and a narrow strip of floor beyond it where the dust lay disturbed in a fresh trail. Quinn caught that in a glance, then looked closer. One set of prints. Narrow. Fast. Heading deeper into the dark.
created_at"2026-03-18T11:15:23.617Z" 3/18/2026, 11:15:23 AM
model"openai/gpt-5.4-mini-20260317"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency395
moderation_latency(null)
generation_time15511
tokens_prompt1149
tokens_completion3226
native_tokens_prompt1009
native_tokens_completion2666
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)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
usage0.01275375
router(null)
provider_responses
0
endpoint_id"9ee065b2-3d1c-43bc-bdd7-28af3b148282"
id"resp_076fd64b1c5a55350169ba894bad248196b8fac4b33a9c21b9"
is_byokfalse
latency200
model_permaslug"openai/gpt-5.4-mini-20260317"
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-1773832523-sLOhKpLW2i7TbSZnn85V"
upstream_id"resp_076fd64b1c5a55350169ba894bad248196b8fac4b33a9c21b9"
total_cost0.01275375
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
totalTags17
adverbTagCount1
adverbTags
0"Patel did then [then]"
dialogueSentences77
tagDensity0.221
leniency0.442
rawRatio0.059
effectiveRatio0.026
95.10% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount2042
totalAiIsmAdverbs2
found
0
adverb"precisely"
count1
1
adverb"sharply"
count1
highlights
0"precisely"
1"sharply"
80.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found
0"Patel"
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
75.51% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount2042
totalAiIsms10
found
0
word"echoed"
count1
1
word"footfall"
count1
2
word"weight"
count1
3
word"silence"
count1
4
word"flicked"
count1
5
word"comfortable"
count1
6
word"standard"
count1
7
word"etched"
count1
8
word"trembled"
count1
9
word"traced"
count1
highlights
0"echoed"
1"footfall"
2"weight"
3"silence"
4"flicked"
5"comfortable"
6"standard"
7"etched"
8"trembled"
9"traced"
66.67% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches2
maxInWindow2
found
0
label"eyes widened/narrowed"
count2
highlights
0"eyes narrowed"
1"eyes widened"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences157
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences157
filterMatches
0"watch"
hedgeMatches
0"tried to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences217
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen53
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords2042
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions16
unquotedAttributions0
matches(empty)
33.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions50
wordCount1443
uniqueNames5
maxNameDensity1.73
worstName"Quinn"
maxWindowNameDensity4
worstWindowName"Patel"
discoveredNames
Camden1
Harlow1
Quinn25
Tube1
Patel22
persons
0"Camden"
1"Harlow"
2"Quinn"
3"Patel"
places(empty)
globalScore0.634
windowScore0.333
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences100
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.49
wordCount2042
matches
0"not the pool but the thinner smear toward the stairwell"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences217
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs103
mean19.83
std17
cv0.858
sampleLengths
033
116
267
314
43
533
63
775
85
943
1043
119
1213
1340
1410
1563
1632
178
187
198
2027
219
226
239
2422
253
2633
2733
284
2916
302
316
3214
3319
3427
3554
3613
373
388
393
4030
4118
4223
4329
4425
4526
4611
473
484
4913
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences157
matches
0"been dragged"
1"been fitted"
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
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences217
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1446
adjectiveStacks0
stackExamples(empty)
adverbCount49
adverbRatio0.0338865836791148
lyAdverbCount6
lyAdverbRatio0.004149377593360996
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences217
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences217
mean9.41
std8.22
cv0.874
sampleLengths
033
116
212
333
48
56
68
714
83
93
1015
1115
123
1315
146
1531
168
1715
185
198
207
2110
2218
2321
2422
253
266
279
284
299
3031
3110
3226
3316
3414
354
363
3712
3820
398
402
415
426
432
444
4523
466
473
486
494
51.92% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats9
diversityRatio0.33640552995391704
totalSentences217
uniqueOpeners73
24.15% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences138
matches
0"Somewhere in the dark beyond"
ratio0.007
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount34
totalSentences138
matches
0"Its cone cut across cracked"
1"He stopped when she kept"
2"Her leather watch rested against"
3"He was all sharp elbows"
4"He glanced up."
5"She looked past him at"
6"He shifted his weight and"
7"His coat had ridden up"
8"His shoes were polished."
9"His cuffs clean."
10"She crouched at the tape"
11"She studied the wall, the"
12"She crouched and picked it"
13"She turned and pointed at"
14"She crouched by the boots"
15"She looked up"
16"She turned it once."
17"She pointed to the casing."
18"She crossed to him and"
19"He had already stopped moving."
ratio0.246
3.48% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount126
totalSentences138
matches
0"The tunnel breathed cold damp"
1"Detective Harlow Quinn paused at"
2"A single sodium work light"
3"Its cone cut across cracked"
4"Uniforms moved in careful, clipped"
5"Boots rang against the station"
6"Voices echoed and broke apart"
7"Quinn stepped under the tape"
8"The constable straightened."
9"He stopped when she kept"
10"Her leather watch rested against"
11"The steps shivered under each"
12"Someone had painted over the"
13"Someone else had scratched symbols"
14"Quinn’s gaze snagged on them."
15"A bent rail chair sat"
16"A thermos lay beside it,"
17"A half-eaten bag of crisps"
18"None of it belonged to"
19"Patel stood by the edge"
ratio0.913
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
analyzedSentences57
technicalSentenceCount2
matches
0"He was all sharp elbows and too much coffee, the kind of detective who tried to fill dead air before it settled."
1"The corpse lay on its back, one arm bent awkwardly beneath him, the other flung wide as if he had reached for something out of frame."
95.59% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags17
uselessAdditionCount1
matches
0"She crouched, not touching"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags7
fancyCount2
fancyTags
0"he guessed (guess)"
1"Quinn muttered (mutter)"
dialogueSentences77
tagDensity0.091
leniency0.182
rawRatio0.286
effectiveRatio0.052
84.1919%