Run: 2026-09-23-01M37HZF42C8BEQGWC94DXTS3P

Run Details

Duration:
59.1s
Cost:
$0.030968
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 turnstile had no slot for a ticket. Detective Harlow Quinn held a bone disc against the dented metal plate, and the barrier clicked open. Behind her, a constable lifted the tape for two scene technicians. One held up an identical disc between gloved fingers. “Where did you get these?” “Victim’s pockets. There were six.” “Keep one with his property. Log the rest as access keys.” The constable glanced past her into the station. “Keys to what?” Quinn stepped through. “That’s what we’re here to find out.” The stairs descended beneath Camden into a Tube station the public maps had forgotten. Its tiles bore old advertisements for cigarettes and seaside hotels, but canvas awnings filled the platform. Glass jars stood in neat rows on trestle tables. Someone had left a kettle steaming beside a stack of chipped cups. At the far end, red cord marked off a section of track where a man lay between the sleepers. No traders remained. Their stalls stood stocked, chairs pushed back, coins abandoned beside scales. Whoever had cleared the place had done it without troubling to pack. DS Imran Malik met Quinn at the platform edge. His white overshoes had already picked up black dust. “Male, late thirties. No identification. One head wound.” He pointed down to the body. “Looks like somebody shoved him off the platform during an argument. Head met the rail.” Quinn checked her worn leather watch. “Who found him?” “Two patrol officers following a call about a fight. Caller gave them the entrance and hung up. A woman let them through the turnstile, then disappeared before they thought to stop her.” “The officers saw the fight?” “No. They found him like this.” Quinn looked along the platform. Awnings blocked the view from the stairs. A trail of footprints crossed the tile, overlapping so thickly near the stalls that no single pair stood apart. “Any of the people who left speak to them?” “Not a word. I’ve got uniforms at both ends.” “Both?” “There’s another staircase behind the ticket booth. It comes out in a service yard.” Quinn crouched beside the platform edge. The man lay face up, one arm across his chest. His coat had ridden above his waist, exposing a strip of shirt. Blood matted the hair behind his right ear and darkened the stones beneath his head. A small brass compass rested in his open left hand. Green patina mottled its casing; fine marks circled the face. “Someone searched him,” Malik told her. “Coat pocket’s turned out. There’s a split seam inside his jacket. Could have held cash.” “He still had the tokens.” “Maybe they missed those.” Quinn reached toward the man, then stopped short of his sleeve. “Has anyone moved him?” “Photographs first. Medical examiner hasn’t arrived.” She scanned the rail beside his head. Rust lay across its upper surface. The blood began on the stones several inches away, where a narrow gap separated the body from the rail. “He didn’t hit that.” Malik joined her at the edge. “He’s got a hole in his head and he’s lying beside it.” “There’s rust on the rail. None in the wound that I can see. And no blood on top.” “He might have struck a fastening.” “Show me one within reach.” Malik studied the sleepers. Metal clips held the rail down at intervals. The nearest sat by the man’s hip. Quinn stepped off the platform at the marked access point. Gravel shifted beneath her boots. She picked her way to the body and crouched. A pale powder clung to his hair around the wound, beneath the blood. She angled her torch across it. Tiny white grains caught the light. “Plaster?” Malik asked from above. “Looks like it.” “There’s a chunk missing from the platform wall. He could’ve caught that on the way down.” Quinn turned her torch toward the wall. Old cream tiles lined it from platform height to the track bed. Two had cracks, but their edges carried years of dirt. No fresh white scars marked the surface. “Which chunk?” Malik didn’t answer. The man’s right hand lay palm down beneath his coat. His left remained open, the compass balanced against his fingers. Quinn leaned close without touching it. “He held this when they found him?” “Exactly like that.” “It would’ve fallen when he landed.” “He could’ve picked it up after.” Quinn studied the blood drying across the creases of his fingers. It had settled into the skin beneath the compass, yet the brass face bore no red smear. “Have the photographer get a close shot before they bag it. Front, back and his palm.” “You think it’s planted?” “I think someone put it in his hand after he bled on it.” Malik folded his arms. “If someone wanted to plant evidence, why give us a compass? Why not a knife?” “That’s a question for the person who did it.” Above them, a technician called for the scale markers. Quinn made room, climbed back to the platform and looked over the empty stalls. One sold narrow bottles stoppered with wax; another displayed bundles of keys without matching labels. A board outside the ticket booth offered directions in chalk. Names had been wiped away, leaving a grey blur. A woman’s voice came from the stairs. “Excuse me. Are you in charge?” A uniformed officer intercepted her before she reached the cord. The woman wore round glasses and carried a worn leather satchel that bulged with books. Curly red hair had escaped its pins. “She says her name’s Eva Kowalski,” the officer told Quinn. “Says she got a message from a friend who works here.” Eva tucked hair behind her left ear. “I didn’t know there’d been a death. Someone called the museum and asked me to identify an object.” “Who called?” “I don’t know. They left a message with the desk. The description was ‘brass compass, green casing’.” Malik looked at the body, then back at her. “When?” “Twenty past six. I checked the time before I left.” Quinn glanced at her watch. The call to police had come through at 6:41. She had seen the log on her way down. “Did they leave a name?” “No. They knew I work in the restricted archives. That’s all the message said.” “Wait with the officer by the stairs. Don’t touch anything.” Eva peered past the cord. Her gaze found the compass, and her mouth tightened. “You recognise it?” Quinn asked. “I’ve seen drawings. It’s called a Veil Compass. The markings on the face are meant to protect whoever carries it.” “Protect them from what?” Eva looked at the man on the tracks. “I don’t know.” Malik waited until the officer led her away. “That sounds useful.” “The caller gave the museum the object before anyone reported finding the body.” “They could’ve seen the fight.” “Or the compass was the reason they wanted her here.” Quinn faced the platform. “You said his pocket had been turned out.” Malik showed her a photograph on his phone. The inner lining hung through the coat opening. Quinn compared it with the corpse. “That seam’s torn from the inside.” “He reached in while somebody grabbed him.” “Could be. Where’s the missing fabric?” Malik checked the photograph. A fringe of dark lining hung from the split, but most of the pocket remained intact. Quinn walked toward the ticket booth. Its shutters covered the windows, and a painted route map hung beside the door. Camden Town sat at the centre of a web of lines that ended at stations Quinn didn’t recognise. Dust lay thick on the map’s frame, except for a clean patch at its lower corner. “What are you looking at?” Malik asked. “Someone held this.” “They were shutting up shop.” “Then why leave everything else?” She crouched. Four short furrows crossed the dust on the floor beneath the frame. She set her gloved fingertips alongside them without touching. The marks ran toward the booth door. Malik bent beside her. “Could be a trolley.” “A trolley has wheels.” Quinn shone her torch into the gap below the shutter. White powder lined the threshold. A little farther in, beyond the reach of the overhead lights, a dark mark crossed the floor. “Get the photographer over here.” Malik called him across. The shutter had no handle on the outside, only a keyhole and a row of screws. Quinn studied the nearest screw head. Bright metal showed beneath a crescent of disturbed paint. “This was opened,” she told Malik. “The booth?” “Since somebody painted over those screws.” The photographer set his camera low and took the threshold from several angles. Quinn kept her light steady until he finished. Then she pointed through the gap. “Can you see that mark?” Malik lowered his head. “Blood?” “Don’t know yet. It goes away from the door.” He straightened and looked back toward the body. “You think he was hurt in there and carried to the tracks.” “His hair picked up plaster somewhere. There’s fresh powder here. Those grooves could come from his heels.” Malik’s gaze moved to the shutter screws. “We’ll need to get it open.” “Photograph the paint first. Bag any fragments when you take the screws out.” Quinn returned to the platform edge while the photographer worked. The man’s compass still lay in his hand. Its needle pointed across the tracks, away from the booth. She looked at the rail, then at the map and the shutter beyond it. “Before you lift that,” she called to the technician, “photograph where the needle points.” The technician held his ruler alongside the compass face. Malik came back to stand beside her. “Why?” Quinn marked the direction with her torch beam. Across the tracks stood a tiled wall, broken by a sealed arch. Newer mortar filled its joints. White grains had collected on the ledge beneath it. “The booth first,” Quinn told him. “Then I want photographs of that arch.”
created_at"2026-09-23T16:35:58.73Z" 9/23/2026, 4:35:58 PM
model"openai/gpt-6-sol-20260922"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency19832
moderation_latency(null)
generation_time59060
tokens_prompt1112
tokens_completion2763
native_tokens_prompt1009
native_tokens_completion2895
native_tokens_completion_images0
native_tokens_reasoning787
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"
usage0.030968
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790181358-5uFLgMpvp4ra1OyAO5q2"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790181358-uHZSOCB0cGeEvMt1GLUQ"
upstream_id"resp_06130b91b726e48f016ab3ffeed6b487d1bd1ae1a76b06a443"
provider_responses
0
endpoint_id"1cfc7d9d-4404-4b8e-9ee4-58ae45c9dcd4"
id"resp_06130b91b726e48f016ab3ffeed6b487d1bd1ae1a76b06a443"
is_byokfalse
latency880
model_permaslug"openai/gpt-6-sol-20260922"
provider_name"OpenAI"
status200
total_cost0.030968
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
totalTags10
adverbTagCount0
adverbTags(empty)
dialogueSentences83
tagDensity0.12
leniency0.241
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1649
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)
96.97% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1649
totalAiIsms1
found
0
word"scanned"
count1
highlights
0"scanned"
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
narrationSentences116
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences116
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences189
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen32
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1649
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions15
unquotedAttributions0
matches(empty)
27.45% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions52
wordCount1020
uniqueNames8
maxNameDensity2.45
worstName"Quinn"
maxWindowNameDensity3.5
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn25
Camden2
Tube1
Imran1
Malik18
Eva3
Town1
persons
0"Harlow"
1"Quinn"
2"Imran"
3"Malik"
4"Eva"
places
0"Camden"
1"Tube"
2"Town"
globalScore0.275
windowScore0.5
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences91
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1649
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences189
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs106
mean15.56
std13.48
cv0.866
sampleLengths
025
120
25
35
411
511
610
770
826
918
1029
119
1232
135
146
1531
169
179
181
1914
2063
2121
225
234
2415
256
2632
274
2818
2918
306
315
3219
3349
345
353
3616
3736
382
393
4026
417
423
436
446
4528
4616
474
4813
4919
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences116
matches
0"been wiped"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs165
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount2
flaggedSentences2
totalSentences189
ratio0.011
matches
0"Green patina mottled its casing; fine marks circled the face."
1"One sold narrow bottles stoppered with wax; another displayed bundles of keys without matching labels."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1020
adjectiveStacks0
stackExamples(empty)
adverbCount20
adverbRatio0.0196078431372549
lyAdverbCount3
lyAdverbRatio0.0029411764705882353
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences189
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences189
mean8.72
std4.69
cv0.538
sampleLengths
08
117
211
39
45
55
611
78
83
93
107
1114
1216
139
1412
1519
163
1711
1812
199
209
2114
2215
236
243
2532
265
276
285
297
3019
319
329
331
3414
356
3610
3712
3815
3910
4010
416
4215
435
444
4511
464
476
487
496
74.96% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats0
diversityRatio0.4497354497354497
totalSentences189
uniqueOpeners85
29.50% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences113
matches
0"Then she pointed through the"
ratio0.009
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount19
totalSentences113
matches
0"Its tiles bore old advertisements"
1"Their stalls stood stocked, chairs"
2"His white overshoes had already"
3"He pointed down to the"
4"His coat had ridden above"
5"She scanned the rail beside"
6"She picked her way to"
7"She angled her torch across"
8"His left remained open, the"
9"It had settled into the"
10"She had seen the log"
11"Her gaze found the compass,"
12"Its shutters covered the windows,"
13"She set her gloved fingertips"
14"she told Malik"
15"He straightened and looked back"
16"Its needle pointed across the"
17"She looked at the rail,"
18"she called to the technician"
ratio0.168
52.92% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount92
totalSentences113
matches
0"The turnstile had no slot"
1"Detective Harlow Quinn held a"
2"The constable glanced past her"
3"Quinn stepped through."
4"The stairs descended beneath Camden"
5"Its tiles bore old advertisements"
6"Glass jars stood in neat"
7"Someone had left a kettle"
8"Their stalls stood stocked, chairs"
9"DS Imran Malik met Quinn"
10"His white overshoes had already"
11"He pointed down to the"
12"Quinn checked her worn leather"
13"Quinn looked along the platform."
14"Awnings blocked the view from"
15"A trail of footprints crossed"
16"Quinn crouched beside the platform"
17"The man lay face up,"
18"His coat had ridden above"
19"Blood matted the hair behind"
ratio0.814
44.25% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences113
matches
0"Whoever had cleared the place"
ratio0.009
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences42
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags10
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags8
fancyCount0
fancyTags(empty)
dialogueSentences83
tagDensity0.096
leniency0.193
rawRatio0
effectiveRatio0
90.8680%