Run: 2026-09-23-01M37HW95ZSQN3KKDBK1YQC73M

Run Details

Duration:
1m 2s
Cost:
$0.032350
Provider:
OpenAI

Model input

System
You are an expert novelist with a gift for vivid, immersive prose. You write in tight third-person limited point of view with a strong narrative voice. Your prose is clean, precise, and engaging — you favor strong verbs, concrete details, and natural-sounding dialogue. You will be given a story bible (codex) containing canonical details about characters, locations, items, and lore. Use these details to ground your writing in the established world. Stay consistent with the codex. Write only the prose of the scene. Do not include titles, chapter headings, markdown formatting, or any commentary before or after the scene.
User/Human
<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> 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.

Model response

AI
By the time Detective Harlow Quinn reached the abandoned platform, someone had put a blue tent over the dead man and a police officer at the foot of the stairs. Neither measure did much to make the place feel like a crime scene. The station lay beneath Camden, shut decades ago and left to the damp. Old enamel signs named streets that had changed beyond recognition. Water ticked from the ceiling into a bucket. Beyond the far edge of the platform, the tunnel narrowed into black. DS Leon Mercer waited beside the tent, his hands tucked under his arms. “Security called it in at five forty. They came down after an alarm on the street-level service door. Found him like this.” “Who’s security?” “Contractors for the property owners. They check the place twice a month.” Mercer glanced at the tent. “Male, forties. No identification. Pockets turned out. Head wound. Looks like someone brought him down here, robbed him, and left him.” Quinn studied the clean strips on the dusty floor where the contractors had walked. “Why bring him down here?” “Privacy.” “There’s a locked gate and three flights of stairs.” “People do stupid things.” That much, Quinn couldn’t dispute. She pulled on gloves and ducked beneath the tent. The man lay on his back beside a tiled pillar. Blood had dried in his dark hair and spread into a stiff patch beneath his head. His coat was open. Both trouser pockets hung inside out, white against the charcoal wool. There were shallow cuts across the fingers of his right hand. Dr. Patel, the duty pathologist, rose from a crouch to give her room. “I can’t give you much before the postmortem. Blow to the back of the head, probably fatal. There’s bruising around both wrists, too.” Quinn bent closer. A purple band crossed each wrist, with a narrow pale line running through it. “Tied?” she asked. “Possibly. The bruising had time to develop before he died.” Mercer stood just outside the tent. “Kidnap, then robbery.” Quinn looked at the man’s boots. Their soles held black dust in the treads, but no grit clung to the wet leather along the sides. The station floor was damp enough that the knees of her trousers would have darkened if she knelt. “Did anyone move him?” “Only Patel,” Mercer said. “And she photographed him first.” Patel nodded. Quinn traced the edge of the bloodstain with her eyes. His head lay partly on clean tile, partly on old dust. The blood had soaked into both, but a faint brown smear crossed the back of his coat six inches below his collar. “Turned after the blow?” she asked. Patel leaned in. “Could be. I’d want to see the photographs before I commit to that.” Quinn straightened. On the pillar above him, a metal timetable frame held a notice yellowed almost to the color of the tiles. The lower corner was bright where something had recently scraped away the grime. “What’s that from?” Mercer followed her gaze. “A shoulder? If they carried him.” “Maybe.” She stepped out and looked along the platform. A uniformed constable stood beside a young woman on a bench. The woman’s red curls had escaped their clip, and she kept pushing one behind her left ear. Round glasses slipped down a freckled nose. A heavy leather satchel rested between her shoes. “That’s our caller?” Quinn asked. “Second caller,” Mercer said. “Eva Kowalski. Says she heard someone down here last night. Came back this morning and found the police. Wouldn’t tell the first officer why she was here.” “She didn’t report the noise?” “She claims she thought it was a maintenance crew.” Mercer lowered his voice. “She works in the British Museum’s restricted archives. Had six books in that bag and no business in a condemned station.” Quinn approached the bench. Kowalski saw her coming and stood too quickly. “Detective Quinn. I understand you were here last night.” “Only for a minute.” Kowalski’s eyes went to the tent. “Is he dead?” “Yes. Did you know him?” “No.” “What brought you here?” Kowalski touched the strap of her satchel. “I was looking for something.” “What?” “A place.” She looked past Quinn, toward the blank tiled wall at the far end of the platform. “I thought there might be an old passage.” “The station plans are public.” “The old ones are.” Quinn waited. Kowalski seemed prepared for a sharper question, not silence. “I heard voices,” she said at last. “Around eleven. Two people arguing, I think. Then a noise like something heavy falling.” “Where were you standing?” “Near the stairs.” “Could you make out words?” “No.” “You came all the way down here, heard an argument, then went home?” “I couldn’t see anyone. And I didn’t want them to see me.” Quinn looked at the woman’s shoes. Their soles were caked with pale, crumbly mud, unlike the black grime on the platform. “Show me where you heard them.” Mercer made a small sound of protest. Quinn ignored it. Kowalski led them past the tent and the tiled pillar. At the far end of the platform, advertisements from another century peeled under a row of dead lamps. She stopped before a wall bearing a painted warning against trespass. “From there,” she said, pointing back at the stairs. “The voices sounded close, but I couldn’t tell where they were.” “Did you come this far last night?” “No.” Quinn turned to the wall. Its tiles were dirty, cracked, and damp along the floor. Nothing about it suggested an opening. Yet the dust in front of it was marked by three overlapping sets of footprints, all within a yard of the painted warning. One set came from the direction of the stairs. Another, deeper set went back. The third stopped at the wall. Mercer joined her. “We’ve had people wandering through since the contractors opened up. Those could be from anyone.” “The contractors came down this morning.” Quinn pointed to the shallow print nearest the wall. “That one’s underneath their tracks.” “Then our victim came to have a look.” “In his boots?” Mercer frowned. She showed him the print. It had a smooth sole and a narrow heel. The dead man wore heavy work boots. Quinn went back to the tent. The crime-scene photographer had finished with the body and was packing a lens. Quinn asked him for a torch, then searched the man’s coat. The outer pockets were empty. In the inside lining, near the seam below the left arm, she found a small split. A green stain marked the cloth around it. She eased two fingers into the tear and drew out a brass compass no wider than a biscuit. Verdigris had gathered around its hinge. Fine marks, too deliberate to be scratches, circled the face. Mercer bent beside her. “Our robbery victim had a secret pocket.” “And the robber missed it.” She opened the lid. The needle swung, shivered, and settled. It did not point north. She turned the casing. The needle held its bearing toward the far wall. “Faulty,” Mercer said. “Likely.” Quinn closed it, then opened it again. The needle returned to the same position. Across the tent, Patel was examining the cuts on the dead man’s hand. “There’s something in these,” she said. “Splinters, perhaps.” Quinn looked. Tiny pale fragments lay embedded near the knuckles. She thought of the bruised wrists, the hands bound long enough to mark. He’d pulled free, or tried to. Someone had struck him afterward, turned out his pockets, and failed to find the compass. She walked to the timetable frame. With the torch held low, she could see a rusty streak on the glass and a shallow dent in the metal beside it. The victim’s blood marked the floor below. This, at least, was where his head had been struck. The stain on the back of his coat could have come from anyone handling him afterward. At the wall, Quinn opened the compass once more. The needle pointed past the painted warning. She moved ten paces to her right. It swung left. Ten paces to her left, and it swung right. Mercer watched. “There’s metal in that wall.” “Probably.” She closed the compass. “Get someone with the plans. I want to know what’s behind it.” “Plans say nothing.” “Then I’d like to know why these prints stop here.” Kowalski had followed them halfway down the platform. At the mention of the wall, she hugged her satchel against her chest. “You know something about it,” Quinn said. Kowalski looked at the compass. “Where did you find that?” “On the victim.” “Was there anything else?” “Such as?” The young woman tucked a curl behind her left ear. “No. I just wondered.” Mercer drew closer. “Miss Kowalski, it’ll be a long interview if you keep doing that.” Quinn raised a hand. She had spent enough years across tables from frightened people to know the difference between deciding what to say and inventing it. Kowalski was deciding. “What were you looking for last night?” Quinn asked. “A market.” Mercer glanced around the empty station. “I’d heard one was down here,” Kowalski said. “I thought I could find a way in. I didn’t.” “A market selling what?” “I don’t know. I only had an account in an old book. It said people used tokens at the entrance.” “What kind?” Kowalski swallowed. “Bone.” Quinn looked toward the dead man. He’d had something worth hiding in his coat, but whoever turned out his pockets had been searching somewhere more obvious. Bone could have been taken from him. Or he could have come through without it. A sound reached her from beyond the wall. Three quick taps, then two more. Mercer heard them too. He stepped forward and rapped his knuckles against a tile. The answering knocks came at once, lower down and farther to the left. “Someone’s behind there,” he said. Quinn crouched where the footprints ended. A dark line ran along the grout at floor level. She put two gloved fingers to it and felt a faint current of warm air. Near the painted warning, one tile sat proud of the others. She pressed its lower edge. It shifted with a soft click. Mercer caught her arm before she pulled. “Wait for backup.” He was right. Quinn stood and stepped aside, her pulse loud in her ears. Three years ago, DS Morris had followed a sound into a sealed building while she covered the exit. She had heard him call her name once. The search team had found no other door and no trace of him. She kept her eyes on the tile. “Call it in,” she told Mercer. “Tell them there’s a person trapped behind the wall.” He took out his radio. Behind the tiles, something heavy dragged across a floor. Quinn opened the brass compass in her palm. Its needle pointed steadily ahead while Mercer gave their location above it, clear enough for every officer coming down the stairs to find them.
created_at"2026-09-23T16:34:14.343Z" 9/23/2026, 4:34:14 PM
model"openai/gpt-6-sol-20260922"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency17991
moderation_latency(null)
generation_time61964
tokens_prompt896
tokens_completion2846
native_tokens_prompt835
native_tokens_completion3068
native_tokens_completion_images0
native_tokens_reasoning700
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"
usage0.03235
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790181254-WAiU4PoiF55jTFOJOO74"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790181254-zMIdAAHBQgdIg5pxsYhD"
upstream_id"resp_07c1e8c3ad44f8f1016ab3ff86746487d1b3db7a78b885e22b"
provider_responses
0
endpoint_id"1cfc7d9d-4404-4b8e-9ee4-58ae45c9dcd4"
id"resp_07c1e8c3ad44f8f1016ab3ff86746487d1b3db7a78b885e22b"
is_byokfalse
latency813
model_permaslug"openai/gpt-6-sol-20260922"
provider_name"OpenAI"
status200
total_cost0.03235
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
totalTags21
adverbTagCount0
adverbTags(empty)
dialogueSentences86
tagDensity0.244
leniency0.488
rawRatio0
effectiveRatio0
97.27% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1829
totalAiIsmAdverbs1
found
0
adverb"quickly"
count1
highlights
0"quickly"
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)
91.80% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1829
totalAiIsms3
found
0
word"traced"
count1
1
word"silence"
count1
2
word"pulse"
count1
highlights
0"traced"
1"silence"
2"pulse"
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
narrationSentences151
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences151
filterMatches
0"feel"
hedgeMatches
0"tried to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences216
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
totalWords1829
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions22
unquotedAttributions0
matches(empty)
44.94% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions65
wordCount1285
uniqueNames9
maxNameDensity2.1
worstName"Quinn"
maxWindowNameDensity3.5
worstWindowName"Quinn"
discoveredNames
Detective1
Harlow1
Quinn27
Camden1
Leon1
Mercer19
Patel4
Kowalski10
Morris1
persons
0"Harlow"
1"Quinn"
2"Camden"
3"Leon"
4"Mercer"
5"Patel"
6"Kowalski"
7"Morris"
places(empty)
globalScore0.449
windowScore0.5
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences102
glossingSentenceCount1
matches
0"seemed prepared for a sharper question, not silence"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1829
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences216
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs106
mean17.25
std16.05
cv0.93
sampleLengths
043
143
235
32
438
519
61
79
84
914
1052
1136
1217
133
1410
159
1643
174
189
192
2043
216
2216
2335
243
2510
261
2751
285
2931
305
3134
3212
339
3413
355
361
374
3812
391
4026
415
424
4311
4421
454
463
475
481
4913
95.97% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences151
matches
0"were caked"
1"was marked"
2"been struck"
3"been taken"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs218
matches
0"was packing"
1"was examining"
2"was deciding"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences216
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1286
adjectiveStacks0
stackExamples(empty)
adverbCount33
adverbRatio0.025660964230171075
lyAdverbCount6
lyAdverbRatio0.004665629860031105
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences216
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences216
mean8.47
std5.62
cv0.664
sampleLengths
030
113
213
310
48
512
613
722
82
917
1021
1114
125
131
149
154
165
179
1810
1916
204
2111
2211
231
2412
2523
263
2714
283
2910
306
313
326
3319
3418
354
364
375
382
3910
4011
4122
426
433
4413
452
4620
4713
483
494
66.05% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.4074074074074074
totalSentences216
uniqueOpeners88
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences132
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount35
totalSentences132
matches
0"She pulled on gloves and"
1"His coat was open."
2"Their soles held black dust"
3"His head lay partly on"
4"She stepped out and looked"
5"She looked past Quinn, toward"
6"she said at last"
7"Their soles were caked with"
8"She stopped before a wall"
9"she said, pointing back at"
10"Its tiles were dirty, cracked,"
11"She showed him the print."
12"It had a smooth sole"
13"She eased two fingers into"
14"She opened the lid."
15"It did not point north."
16"She turned the casing."
17"She thought of the bruised"
18"He’d pulled free, or tried"
19"She walked to the timetable"
ratio0.265
39.55% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount111
totalSentences132
matches
0"Neither measure did much to"
1"The station lay beneath Camden,"
2"Water ticked from the ceiling"
3"DS Leon Mercer waited beside"
4"Mercer glanced at the tent"
5"Quinn studied the clean strips"
6"That much, Quinn couldn’t dispute."
7"She pulled on gloves and"
8"The man lay on his"
9"Blood had dried in his"
10"His coat was open."
11"Both trouser pockets hung inside"
12"Patel, the duty pathologist, rose"
13"Quinn bent closer."
14"A purple band crossed each"
15"Mercer stood just outside the"
16"Quinn looked at the man’s"
17"Their soles held black dust"
18"The station floor was damp"
19"Quinn traced the edge of"
ratio0.841
37.88% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences132
matches
0"By the time Detective Harlow"
ratio0.008
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences52
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags21
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags14
fancyCount0
fancyTags(empty)
dialogueSentences86
tagDensity0.163
leniency0.326
rawRatio0
effectiveRatio0
88.4483%