Run: 2026-09-23-01M36NYHYG63HDM8HRRFV9TB0E

Run Details

Duration:
41.8s
Cost:
$0.001421
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 station entrance sat behind a locked door marked STAFF ONLY, down a service stairwell that smelled of wet stone and old electricity. Detective Harlow Quinn ducked beneath the tape and stepped onto the platform. A train had not run here in decades. Dust covered the rails, but the platform itself shone with fresh footprints, damp patches, and the pale scatter of salt. Lanterns hung from hooks in the tiled walls. Their blue flames gave the station a drowned look. A man lay on his back beside the platform edge. His coat was fine wool, his boots polished, his throat opened from ear to ear. Blood streaked the tiles beneath his shoulders and ran in a narrow line towards the tracks. Detective Sergeant Nisha Bell waited beside the nearest lantern, gloves on, notebook open. “Market trader,” Bell said. “Name’s Orsini. The stallholders called him a broker. Nobody’s seen a weapon, but half of them claim he carried one.” Quinn looked from the body to the rails. The blood had run uphill, away from the track bed, then stopped at a seam between two tiles. “Who found him?” “Two market guards. They say they came down the stairs at ten past eleven. Heard a shout, then found him here. One of them called it in from the street.” “And the other?” “Ran. We’ve got uniforms looking for him.” Quinn unfastened her coat and crouched beside the body. The dead man’s face held no alarm. His eyes remained open, fixed on the ceiling arches. A thin strip of grey ash clung to his lower lip. “Any signs of a struggle?” “None. No broken nails, no torn cuffs. His purse is still in his pocket. The guards think it was an execution. The traders have been feuding over territory.” Quinn kept her eyes on the man’s hands. His right fist was closed. A constable had left it untouched. “Did the guards say anything about the blood?” Bell’s brows tightened. “They said it was pooling under him.” “It isn’t.” Quinn leaned closer. The blood on the tiles had dried into a curved ribbon that bent away from the body. At the seam, it stopped cleanly, as if a pane of glass had blocked it. No droplets marked the floor beyond. Bell shifted her weight. “The platform slopes towards the tracks.” “Then the blood should run that way.” “Someone could have moved him.” “Then where are the drag marks?” Bell glanced down. Dust lay unbroken around the man’s heels. Even the hem of his coat rested on top of it, clean and undisturbed. A photographer crossed the platform, keeping to the chalked route. Quinn raised a hand and stopped him before he reached the body. “Photograph the salt first. Wide shots. Then the floor around the corpse.” The photographer nodded and backed away. Bell lowered her notebook. “The salt’s a ward. The traders scattered it after the market opened. They told me it keeps bad luck from crossing the platform.” “Did they tell you that before or after the body turned up?” “After.” Quinn stood. She walked the edge of the platform, counting lanterns, exits, and the iron pillars between them. The market occupied the space beyond the old ticket barriers: canvas awnings, trestle tables, locked cases. A woman in a silver veil watched from behind one stall until a uniformed constable directed her away. Others stood in knots beneath the arches, their faces turned towards the police. A narrow aisle ran between the stalls and the crime scene. It carried no blood, no footprints, no sign of hurried movement. The market’s customers had left their tracks everywhere else. Quinn saw the marks of boots, bare feet, even something with a split hoof. The area around Orsini remained almost pristine. “Those guards entered from the stairs?” she asked. “Both of them. They claim they saw the body from the top step.” “The top step overlooks the platform?” “Part of it.” “Not this patch.” Bell looked towards the stairs. “They’d have seen enough to know he was dead.” Quinn turned back to the body. She knelt again and examined the cuffs. The left sleeve had a neat tear beside the button, a small crescent of fabric missing. She checked the skin beneath it. A faint red line circled the wrist. “Did anyone find a watch?” “No.” “Any jewellery?” “Ring on his right hand. Nothing else.” The dead man’s right fist stayed clenched. Quinn took a small evidence tool from her pocket and worked it between his fingers. They resisted, stiff but not fully locked. A brass object dropped into her gloved palm. A compass, no larger than a pocket watch. Verdigris stained its casing. Fine markings had been etched around the face, their shapes too deliberate to be decoration. The needle trembled, then swung away from the rails. Bell leaned in. “That’s the murder weapon?” “It’s a compass.” “Doesn’t point north.” Quinn turned it a quarter turn. The needle swung again and fixed on the tiled wall opposite the body. “Could have been damaged,” Bell offered. “Then why did he hold it?” “Clutching something when he died isn’t unusual.” Quinn examined the dead man’s palm. No pressure mark crossed the skin. The compass had left no impression, though his fingers had curled around it. There was no grime beneath his nails, no blood on his knuckles. His hand had closed after the blood dried. She slipped the compass into an evidence bag. The needle stayed aimed at the wall. Bell watched it through the plastic. “You reckon he had it in his pocket?” “His coat pocket’s empty?” “Not checked yet.” “Then let’s not guess.” Quinn rose and moved to the wall. The compass needle pointed to a section of green tile two metres from the nearest pillar. She scanned it for cracks, fresh scratches, disturbed dust. One tile had a dark line at its edge, no wider than a hair. “Get a close shot of this seam,” she called to the photographer. Bell joined her. “You think there’s a passage?” “I think the compass points at something.” “The market’s full of tricks. A hidden door would fit the story better than a murderer who leaves no footprints.” Quinn pressed her gloved fingertips to the tile. It shifted under the pressure, then settled back into place. “Don’t touch it again,” Bell said. “Forensics need the wall intact.” Quinn drew her hand away. “Then get them here.” Bell went to call the scene team. Quinn turned back to the platform and read the scene from a distance. The lanterns made a pool of light around the corpse. The salt traced a broken circle at its edge, with one gap facing the ticket barriers. A copper bowl sat beyond the circle, filled with blackened stubs and grey ash. The ash on Orsini’s lip matched the ash in the bowl. Quinn crouched beside it without crossing the cordon. “Who put this here?” “No one’s owned it,” Bell called from the stairs. “The market guards say it’s part of the stall beside it.” The stall beside it sold bottled oils and bundles of dried herbs. Its owner, a narrow man with a white scarf over his mouth, stood under the eye of a constable. “Ask him what he burned tonight.” Bell returned and spoke to the stallholder. The man’s eyes flicked to the corpse, then to the bowl. “Incense,” he answered. “For customers.” “What kind?” “Cedar. Myrrh.” Quinn studied the residue. “That isn’t incense.” The stallholder’s shoulders rose under his coat. “You have a laboratory. Ask them.” Bell brought him two paces closer. “You’ve got a reason to lie?” “I have a stall to protect. Your people trampled my goods.” Quinn looked at the copper bowl. Its base sat in a clean circle amid the dust. Someone had placed it there after the platform was disturbed, yet the ash on Orsini’s mouth had settled into the crease of his lower lip. Not scattered. Pressed. “Did Orsini burn something in that bowl?” The stallholder said nothing. “Was he alive when he did it?” Bell glanced at Quinn. “The wound killed him.” “Maybe. But the ash didn’t come from him breathing it in. There’s none in his nose. Someone pressed it onto his mouth after death.” “Why dress a body with ash?” “To make us look at the bowl instead of the wall.” The stallholder’s eyes moved to the green tiles. Only for a fraction of a second, but Quinn caught it. Bell followed her gaze. “You know about the loose tile?” “I know nothing about any wall.” “Then why did you look at it?” The man turned his face away. The constable took his arm. Quinn returned to Orsini’s body. The market guards had placed him in the pool of lantern light because they wanted the police to find him there. The blood line had been poured or drawn from somewhere else, then stopped at the tile seam. The compass had been set in his hand after the fact, its needle angled towards a concealed route. The ash gave the scene a reason to linger over the body. Every clue had been arranged to send the investigation along one path. The dead man’s left sleeve held the missing crescent of cloth. Quinn turned the cuff outward. A black fibre clung to the torn edge, coarse and twisted, unlike the smooth wool of his coat. “Bag that,” she told the photographer. “And take the stain from the tile seam. Both sides.” Bell stared at the cuff. “You think he was killed behind the wall?” Quinn followed the compass needle through the evidence bag to the green tile. “No. I think the wall was opened before he died.” “Then who brought him out?” Quinn looked again at the blood. The narrow ribbon curved away from the tracks, but the first few drops began beneath the man’s shoulder, not his throat. Someone had placed him on the floor, poured blood along a path, then wiped the route clean everywhere except the visible line. The body’s clothes were dry. The back of his coat, where it touched the tiles, held no wet blood at all. She looked at the guarded market, the untouched aisle, and the door at the top of the stairs. “Get the first guard back here,” she said. “Ask him where he stood when he saw the body.” “He said the stairs.” “Ask him to point.” Bell closed her notebook. “And if he points to the wall?” Quinn held the evidence bag up. The brass needle rested against the plastic, fixed on the seam. “Then we find out why Orsini carried a compass that led to it.”
created_at"2026-09-23T08:26:08.726Z" 9/23/2026, 8:26:08 AM
model"openai/gpt-6-luna-20260922"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency5997
moderation_latency(null)
generation_time41822
tokens_prompt1112
tokens_completion3025
native_tokens_prompt1009
native_tokens_completion2640
native_tokens_completion_images0
native_tokens_reasoning372
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"
usage0.0014209
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790151968-MrId0Qn8TKRbNmWiU0O4"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790151968-41WCC1lfYRahsJwAopvq"
upstream_id"resp_0dd5b3b1c8a96d73016ab38d20cea087d1878b9b0803dc163e"
provider_responses
0
endpoint_id"05e94e02-b9c2-4bbb-ba55-4082ee9ad687"
id"resp_0dd5b3b1c8a96d73016ab38d20cea087d1878b9b0803dc163e"
is_byokfalse
latency787
model_permaslug"openai/gpt-6-luna-20260922"
provider_name"OpenAI"
status200
total_cost0.0014209
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
totalTags9
adverbTagCount0
adverbTags(empty)
dialogueSentences78
tagDensity0.115
leniency0.231
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1774
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)
80.27% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1774
totalAiIsms7
found
0
word"weight"
count1
1
word"pristine"
count1
2
word"etched"
count1
3
word"trembled"
count1
4
word"scanned"
count1
5
word"traced"
count1
6
word"flicked"
count1
highlights
0"weight"
1"pristine"
2"etched"
3"trembled"
4"scanned"
5"traced"
6"flicked"
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
narrationSentences130
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences130
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences199
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen30
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1774
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions23
unquotedAttributions0
matches(empty)
43.36% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions53
wordCount1219
uniqueNames6
maxNameDensity2.13
worstName"Quinn"
maxWindowNameDensity3
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn26
Sergeant1
Nisha1
Bell20
Orsini4
persons
0"Harlow"
1"Quinn"
2"Sergeant"
3"Nisha"
4"Bell"
5"Orsini"
places(empty)
globalScore0.434
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences97
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1774
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences199
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs107
mean16.58
std16.08
cv0.97
sampleLengths
035
145
241
313
424
526
63
730
83
97
1036
115
1228
1319
148
1510
162
1741
1810
197
205
216
2224
2322
2412
256
2627
2712
281
2965
3052
318
3213
336
343
353
3614
3742
385
391
402
417
4237
4336
447
453
463
4719
486
496
97.17% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences130
matches
0"been etched"
1"been poured"
2"been arranged"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs191
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences199
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1219
adjectiveStacks0
stackExamples(empty)
adverbCount31
adverbRatio0.02543068088597211
lyAdverbCount4
lyAdverbRatio0.003281378178835111
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences199
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences199
mean8.91
std5.5
cv0.616
sampleLengths
023
112
28
320
48
59
610
715
816
913
104
1120
128
1318
143
1530
163
177
189
197
209
2111
225
2328
248
255
266
278
283
297
302
313
3217
3315
346
354
366
377
385
396
403
417
4214
4310
4412
4512
466
474
4823
4912
48.74% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.3165829145728643
totalSentences199
uniqueOpeners63
55.10% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences121
matches
0"Even the hem of his"
1"Only for a fraction of"
ratio0.017
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount18
totalSentences121
matches
0"Their blue flames gave the"
1"His coat was fine wool,"
2"His eyes remained open, fixed"
3"His right fist was closed."
4"She walked the edge of"
5"It carried no blood, no"
6"She knelt again and examined"
7"She checked the skin beneath"
8"They resisted, stiff but not"
9"His hand had closed after"
10"She slipped the compass into"
11"She scanned it for cracks,"
12"she called to the photographer"
13"It shifted under the pressure,"
14"Its owner, a narrow man"
15"Its base sat in a"
16"she told the photographer"
17"She looked at the guarded"
ratio0.149
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount113
totalSentences121
matches
0"The station entrance sat behind"
1"Detective Harlow Quinn ducked beneath"
2"A train had not run"
3"Dust covered the rails, but"
4"Lanterns hung from hooks in"
5"Their blue flames gave the"
6"A man lay on his"
7"His coat was fine wool,"
8"Blood streaked the tiles beneath"
9"Detective Sergeant Nisha Bell waited"
10"Quinn looked from the body"
11"The blood had run uphill,"
12"Quinn unfastened her coat and"
13"The dead man’s face held"
14"His eyes remained open, fixed"
15"A thin strip of grey"
16"Quinn kept her eyes on"
17"His right fist was closed."
18"A constable had left it"
19"Bell’s brows tightened."
ratio0.934
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences121
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences54
technicalSentenceCount1
matches
0"The station entrance sat behind a locked door marked STAFF ONLY, down a service stairwell that smelled of wet stone and old electricity."
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
totalTags8
fancyCount0
fancyTags(empty)
dialogueSentences78
tagDensity0.103
leniency0.205
rawRatio0
effectiveRatio0
87.4877%