Run: 2026-09-23-01M36R7B3MNZ7HWWVMJNSEFJRZ

Run Details

Duration:
55.8s
Cost:
$0.002168
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 service gate beneath Camden had been chained shut from the outside. Detective Harlow Quinn ducked beneath the tape after a uniformed constable lifted it, her coat brushing the padlock. “Who found him?” “Maintenance crew. One of them came down to check a pump, then came straight back up. Neither touched the body.” The constable glanced towards the stairwell. “They’re waiting in the van.” Quinn took in the rusted rails, the tiled arch and the black tunnel beyond the platform. Water ticked from a pipe into a bucket. Someone had dragged a generator inside; its cable ran along the wall to a bank of floodlights. “Keep them apart. Get their names, shoes, and the times they came through the gate. Nobody goes back down without my say.” She passed through the station entrance. Her worn leather watch knocked against the strap of her evidence gloves as she checked the time. The abandoned station smelled of wet stone and old iron. A draught slipped along the platform, though the tunnel mouth had been sealed with concrete. Detective Sergeant Malik waited near the first pool of light. His tie sat crooked beneath his open collar. He held a paper cup in one hand and pointed with the other. “Platform end. Male, forties, no ID. Looks like a bad deal gone worse.” “Looks like a man on a floor.” Quinn stopped beside him. “Tell me what you know.” “Call came in at six twelve. Anonymous. Gave the location and said there’d been a stabbing. Uniforms found no knife, no witnesses, no way down but the gate. The body’s been here since before the maintenance crew found him.” Malik handed her the scene notes. She scanned the first page as they walked. Estimated time of discovery, names of the two workers, no weapon recovered. A small brass object had been logged beside the body. “Who moved it?” “No one. We photographed it where it lay.” At the far end of the platform, the body rested against a tiled pillar. A man in a dark wool suit, legs stretched out, one hand open on his knee. His head tilted towards his shoulder. A patch of blood spread beneath his hair, dark and thick against the grey grit. Quinn crouched outside the marked boundary. The man’s face had gone waxy. His eyes were half open, fixed on the blank curve of the ceiling. No knife wound showed through his shirt. His tie sat straight. His shoes gleamed, though the soles carried a crust of pale dust. “Where’s the stab wound?” Malik took a sip from the cup. “Could be under the shirt. The pathologist hasn’t arrived.” “Blood under his head, no visible injury, no weapon. That’s three things you’re asking a stabbing to explain.” “Anonymous caller said stabbing. Someone could’ve cleaned up.” “Then why leave the body?” She rose. The blood had spread in a shallow oval, with one narrow run reaching towards the platform edge. No spatter marked the tiles or the pillar. Quinn leaned closer without crossing the tape. A thin smear darkened the man’s right cuff, but his shirt front remained clean. Malik followed her gaze. “He fell and cracked his head,” he said. “The blood ran under him.” “Where’s the crack?” “Hairline. Hidden by the blood.” Quinn looked at the pillar. The tiles behind the man showed no blood. Neither did the floor around his shoulders. She shifted her view, tracking the pale grit between the body and the tunnel. A pair of shoe prints crossed it from the platform entrance. The prints came to the body and stopped. No return track. “Maintenance crew?” “Their boots are heavier. They came down this morning. The prints were here before they arrived.” “And the second set?” “There isn’t one.” “So the killer flew him in?” Malik lowered his cup. “Or one person carried him. Picked him up, walked in, laid him down. The prints would be the carrier’s.” “Where are the scuffs?” She pointed to the grit beneath the man’s heels. It sat undisturbed in a fine, even layer. His shoes had left no drag marks. The soles had not pressed into it. A camera flash popped behind them. Quinn turned. A crime scene photographer lowered his lens. “Hold the next shot,” she called. “Get the floor at the platform entrance, then work inward. No more wide angles.” The photographer nodded and moved back. Malik looked from the body to the paired prints. “Maybe he wore covers.” “Then we’d find them.” “Could’ve taken them away.” “On the same route, without leaving a return track?” Malik rubbed the bridge of his nose. “Could be a staged scene.” “Good. Now stage it for me. How did the killer get him here?” He had no answer. Quinn moved to the edge of the evidence markers. A small object lay on its side near the dead man’s open hand. Its brass casing had turned green in the grooves. Protective marks covered the face, each line cut with a fine tool. The needle pointed towards the tiled wall behind the body. Malik leaned over the boundary. “Trinket from a market stall. We found a bone token in his coat pocket. Some sort of costume jewellery. Camden’s full of that stuff.” Quinn looked at him. “Who told you it was a bone token?” “CSI. They put it in the bag.” “Did you see the bag?” “No.” “Then don’t decide what it is yet.” She studied the compass through the clear evidence sleeve. The needle did not waver beneath the glare of the floodlight. It sat fixed towards the wall, as though a hand had pinned it there. “What’s it pointing at?” Malik asked. “Stone and tile.” “Maybe the wall’s magnetic.” “Then it should point at the rail, too.” She held the sleeve level, careful not to touch it. The needle stayed where it was. She turned her wrist until the compass faced the opposite direction. The needle swung, shivered once, then returned to its former line. Malik’s cup creased under his fingers. “Cheap mechanism.” “Could be.” Quinn looked behind the body. The tiled pillar joined the curved wall in an old repair, its mortar darker than the rest. A strip of grime marked the seam between them. She had seen that same line while approaching the scene, but then it had looked like water damage. Now she noticed that the grit on the floor ended in a narrow crescent at the base of the wall. She crouched to inspect it. The crescent held no shoe marks. No blood. No dust from the cracked tiles above it. “Any reports of work here?” “Not for years.” “Any access behind the wall?” “Tunnel plans show a service passage. It was bricked up in the seventies.” “Plans on site?” “In the van.” “Get them.” Malik set his cup on a ledge. “You think the body came through a service passage?” “I think the floor says he didn’t walk in, and his clothes say he didn’t get carried over it.” “The clothes?” Quinn pointed at the knees of his trousers. A faint damp patch darkened the cloth, but the legs stayed smooth, with no dust caught in the creases. She looked again at his shoes. The pale grit on the soles matched the old platform dust, but the polish above them held a thin band of clean leather, as if the shoes had been wiped with a wet rag. “He’s been in the station,” Malik said. “His shoes have.” “What’s the difference?” “Look at his heels.” The soles had worn down at the outer edges. The dust sat deep in the treads, pressed flat. It had gathered there over weeks, perhaps months, not during one walk across this platform. The upper leather showed no matching coat of grime. Quinn glanced at the dead man’s hands. The nails were clean. No torn skin. No grit on his palms. She looked beneath his body, where the edge of the blood pool made a dark crescent against the floor. The back of his suit, visible at the shoulder, was free of dust. “He didn’t lie on this platform when he died,” she said. Malik looked at the blood, then at the man. “Could’ve been cleaned.” “His suit has no damp line. No fresh rub marks. No dirt in the fabric. Someone carried him, then wiped his shoes and his clothes, but left blood under his head?” “Or he died right there.” “Then show me the injury.” A door clanged somewhere beyond the stairwell. A uniformed officer called out that the pathologist had arrived. Malik turned to answer, but Quinn had gone to the wall. She stopped beside the body and traced the dark seam with her eyes, from the floor to shoulder height. The line bent around a tile, then vanished beneath a row of newer replacements. She held one hand over the compass sleeve, blocking the floodlight. The needle still aimed at the seam. “Get a mirror and a lamp,” she called to the nearest technician. “Keep your hands off the tiles until we’ve photographed every joint.” Malik came to stand behind her. “You think there’s a hollow behind it.” “I think our dead man left no tracks, the blood has no wound to feed it, and that compass points at a wall someone repaired in a hurry.” “That’s not a case theory.” “No. It’s a reason to stop calling it a stabbing.” The technician returned with a mirror and a penlight. Quinn took the mirror and angled it along the seam. The light caught a thread of air between two tiles. Dust along the gap had parted in a clean line. She lowered the mirror. “Photograph that. Then bring the pathologist over. Nobody touches the body until we know what’s behind the wall.”
created_at"2026-09-23T09:05:53.789Z" 9/23/2026, 9:05:53 AM
model"openai/gpt-6-luna-20260922"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency28455
moderation_latency(null)
generation_time55754
tokens_prompt1112
tokens_completion2476
native_tokens_prompt1009
native_tokens_completion4135
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)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
service_tier"default"
usage0.0021684
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1790154353-9rGxBzvAtXaUXwpNQzuK"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790154353-HnhNcWpU9HzUVhEfNjph"
upstream_id"resp_0c9880322a986777016ab39671e99c87d1ba057b07cc808591"
provider_responses
0
endpoint_id"05e94e02-b9c2-4bbb-ba55-4082ee9ad687"
id"resp_0c9880322a986777016ab39671e99c87d1ba057b07cc808591"
is_byokfalse
latency382
model_permaslug"openai/gpt-6-luna-20260922"
provider_name"OpenAI"
status200
total_cost0.0021684
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags8
adverbTagCount0
adverbTags(empty)
dialogueSentences72
tagDensity0.111
leniency0.222
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1627
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)
90.78% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1627
totalAiIsms3
found
0
word"scanned"
count1
1
word"magnetic"
count1
2
word"traced"
count1
highlights
0"scanned"
1"magnetic"
2"traced"
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
narrationSentences113
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences113
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences177
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen39
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1627
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions12
unquotedAttributions0
matches(empty)
77.61% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions32
wordCount1036
uniqueNames5
maxNameDensity1.45
worstName"Malik"
maxWindowNameDensity2.5
worstWindowName"Malik"
discoveredNames
Camden1
Harlow1
Quinn14
Sergeant1
Malik15
persons
0"Camden"
1"Harlow"
2"Quinn"
3"Sergeant"
4"Malik"
places(empty)
globalScore0.776
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences90
glossingSentenceCount1
matches
0"looked like water damage"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.615
wordCount1627
matches
0"no way down but"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount2
totalSentences177
matches
0"noticed that the"
1"out that the"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs99
mean16.43
std16.96
cv1.032
sampleLengths
030
13
231
341
422
548
631
713
816
939
1036
113
128
1351
1448
154
1616
1718
188
195
2048
214
2213
233
245
2556
262
2716
284
293
306
314
3219
334
3431
3515
3620
376
389
394
404
414
429
4312
4413
4557
465
4724
484
498
92.84% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences113
matches
0"been chained"
1"been sealed"
2"been logged"
3"been wiped"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs162
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount1
flaggedSentences1
totalSentences177
ratio0.006
matches
0"Someone had dragged a generator inside; its cable ran along the wall to a bank of floodlights."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1036
adjectiveStacks0
stackExamples(empty)
adverbCount11
adverbRatio0.010617760617760617
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences177
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences177
mean9.19
std6.12
cv0.666
sampleLengths
012
118
23
326
45
516
68
717
822
96
1017
1110
1215
1310
148
1513
1613
1711
185
1939
206
218
2212
2310
243
258
2614
2716
286
2915
306
316
3213
337
344
3512
364
377
389
3918
408
415
422
4317
448
457
4614
474
488
495
53.67% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.3389830508474576
totalSentences177
uniqueOpeners60
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences105
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount28
totalSentences105
matches
0"She passed through the station"
1"Her worn leather watch knocked"
2"His tie sat crooked beneath"
3"He held a paper cup"
4"She scanned the first page"
5"His head tilted towards his"
6"His eyes were half open,"
7"His tie sat straight."
8"His shoes gleamed, though the"
9"She shifted her view, tracking"
10"She pointed to the grit"
11"It sat undisturbed in a"
12"His shoes had left no"
13"He had no answer."
14"Its brass casing had turned"
15"She studied the compass through"
16"It sat fixed towards the"
17"She held the sleeve level,"
18"She turned her wrist until"
19"She had seen that same"
ratio0.267
7.62% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount95
totalSentences105
matches
0"The service gate beneath Camden"
1"Detective Harlow Quinn ducked beneath"
2"The constable glanced towards the"
3"Quinn took in the rusted"
4"Water ticked from a pipe"
5"Someone had dragged a generator"
6"She passed through the station"
7"Her worn leather watch knocked"
8"The abandoned station smelled of"
9"A draught slipped along the"
10"Detective Sergeant Malik waited near"
11"His tie sat crooked beneath"
12"He held a paper cup"
13"Quinn stopped beside him"
14"Malik handed her the scene"
15"She scanned the first page"
16"A small brass object had"
17"A man in a dark"
18"His head tilted towards his"
19"A patch of blood spread"
ratio0.905
47.62% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences105
matches
0"Now she noticed that the"
ratio0.01
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences44
technicalSentenceCount1
matches
0"The pale grit on the soles matched the old platform dust, but the polish above them held a thin band of clean leather, as if the shoes had been wiped with a wet…"
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
totalTags6
fancyCount0
fancyTags(empty)
dialogueSentences72
tagDensity0.083
leniency0.167
rawRatio0
effectiveRatio0
89.0047%