Run: 2026-09-23-01M37HERF36EG2K84RCCARW9Z8

Run Details

Duration:
54.2s
Cost:
$0.028688
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
Detective Harlow Quinn reached the platform by a staircase lined with advertisements for concerts that had ended years ago. Someone had painted black bars across the performers’ faces. At the bottom, a Metropolitan Police constable stood beside an iron gate and held it open with his boot. Beyond him, an abandoned Tube station had become a market. Canvas awnings ran along the platform beneath pipes furred with rust. Traders had left bowls, scales and handwritten price cards on their counters. A row of glass jars held grey feathers suspended in oil. At the far end, two forensic lamps washed a closed tea kiosk in hard white light. Quinn checked the time on the worn leather watch at her left wrist. Half past four. She stepped over a string of coloured beads scattered across the platform. “Who called it in?” The constable fell into step beside her. “Anonymous woman. Control lost the line before they got a name. First officers arrived at three seventeen.” “How did they get through the gate?” “It was open.” “Was it open when the caller found the body?” “She didn’t tell Control.” Quinn stopped. “Ask them to pull the recording again. I want every sound behind her voice.” At the kiosk, Detective Sergeant Martin Pike crouched beside a sheet of clear plastic. He rose when he saw Quinn, his knees cracking. “Knife job,” he greeted her. “Victim ran this stall, by the look of it. Cash box is empty. Whoever did him went through the service tunnel.” Quinn took in the man on the floor. He lay between a counter and a tiled wall, one arm crooked beneath his chest. Blood filled the grout beside his throat. A cloth shopping bag rested near his feet; three packets of tea had spilled from it, their paper labels darkened where they touched the blood. “Name?” “No ID. One of the other stallholders called him Niall. They cleared out before we arrived.” “All of them?” Pike gestured at the vacant awnings. “First uniforms saw two figures heading up the stairs. Neither stopped for questions.” Quinn looked back along the platform. Half the stalls stood stocked, with boxes still open beneath the tables. A lantern burned behind a wire cage. “They left in a hurry.” “Someone got their throat cut.” Pike offered her a pair of overshoes. Quinn pulled them on and approached the body. The dead man wore a dark coat with a missing button. His collar had folded beneath his neck, exposing a narrow wound. She leaned close enough to see tiny fibres pressed into its edge. “Photographs?” “From every side. Patel’s finishing the close-ups.” A scene-of-crime officer shifted to give her room. Quinn studied the blood on the tiles, then the blood beneath the man’s shoulder. Pike waited beside a line of footprints that crossed the kiosk floor and led towards a door marked STAFF ONLY. “Those are your killer’s?” “Size ten or eleven. Work boots. Came in behind him, took the cash, cut him, went out through there.” “You opened it?” “Uniforms did. Service passage leads to a ventilation shaft. Shaft comes out behind the station fence.” Quinn examined the prints. Six impressions showed a square heel and a split in the tread beneath the left forefoot. Dark red marked each one. She followed them without stepping across the line. At the third print, she bent until her face came level with the floor. “What’s beneath them?” “Platform grime. Dust.” “Look at this one.” Pike crouched. The forefoot held a crisp rectangle of tread, its grooves packed with blood. A pale strand of hair lay across two of them. “Victim’s?” Pike asked. “The strand runs across the blood. If the boot put that print down, it would have pinned the hair beneath it.” Patel joined them and angled a lamp towards the mark. Under the light, the strand cast a fine shadow. “Could’ve blown there afterwards,” Pike offered. “There’s no draught in this kiosk.” Quinn pointed to the dust gathered against the door. “And this print has dust under the blood. Not mixed in. Under it.” Patel lifted her camera. “I’ll get a scale.” Quinn continued to the last impression. It sat inches from the service door, heel and toe marked with the same solid pressure as the first. No blood streaked the handle. No smudge broke the dust on the door’s lower panel. “Has anyone been through this door since uniforms?” “Two constables. I told them to use the handle with gloves.” “Ask which one closed it.” Pike straightened. “You think the boots were stamped on?” “I think we should stop calling them footprints.” She returned to the body. The blood pooled beneath the man’s head and followed the grout towards the counter. The wound lay high across his throat, but no fine spray marked the wall or the undersides of the shelves. A length of red cord trailed from under his coat. “What did he have in his hands?” “Nothing when we found him.” Quinn drew on gloves and lifted the man’s visible hand. A short cord had caught beneath his palm. She followed it to his wrist and raised the cuff of his sleeve. A tight red mark circled the skin. “Someone tied him.” “Or he wore a bracelet.” “A bracelet that left a knot against his wrist.” She lowered the cuff. “Where’s the other end?” Pike looked at the loose cord. It had been cut close to the floor. Quinn let his hand rest where she had found it. Her gaze moved to the coat. One lower pocket bulged against the tiles, though the fabric above it hung loose. “Patel, did you photograph the pockets?” “Not the contents.” Quinn waited while Patel worked. When she finished, Quinn reached into the pocket and removed a small brass compass. Green corrosion mottled its casing, and protective sigils ran round the face in close, careful lines. Its glass had cracked at one edge. The needle pointed towards the tiled wall. Pike glanced at it. “Souvenir.” “From this place?” “Take your pick. Half these stalls sell rubbish in bottles.” Quinn turned the compass in her hand. The needle swung and settled towards the wall again. Pike held his phone above it, compass application open. “North’s that way.” He pointed towards the tracks. “I can see that.” “There’s old wiring behind the tiles. Magnet in the wall, loose part in the compass—” Quinn moved three paces towards the counter. The needle shifted towards a section of wall near the dead man’s feet. She moved to the service door. It turned back across her palm. A woman’s voice came from outside the kiosk. “You need to leave that alone.” The constable at the entrance blocked her path. She was short, with curly red hair, round glasses and a worn leather satchel held against her chest. Several books pressed against its buckles. “Miss Kowalski gave her statement,” the constable told Quinn. “She was here when the call went in.” Eva Kowalski tucked a curl behind her left ear. Her eyes stayed on the compass. “I didn’t touch him,” she told Quinn. “I saw him through the kiosk window.” “What made you come down here?” Eva glanced at the stalls, then at the constable. “I was looking for a book.” “At four in the morning?” “The seller kept unusual hours.” Pike folded his arms. “So did everyone else.” Quinn set the compass on the counter. Its needle held towards the wall. “Do you know whose this is?” Eva took one step closer. “Where did you find it?” “In his coat.” “He wouldn’t have put it there.” “You know him?” “Niall Ferris. He had it on a cord round his neck when I saw him.” Quinn looked at the dead man’s collar, at the small fibres caught in the wound. “What colour cord?” “Red.” Pike turned towards the body. Quinn held up the cut length trailing from beneath the coat. Eva pressed her lips together. “When did you see him wearing it?” “Before I went along the platform. He called me over, but I had to find someone. I came back, and he was on the floor.” “What did he want?” “He didn’t get to tell me.” Quinn studied Eva’s face. “Did you call the police?” “No. I heard someone running towards the stairs. I followed the sound.” “You saw them?” “No.” “Then why didn’t you call?” Eva looked at the satchel in her hands. “I came back with a constable. He was outside the gate.” “The gate the first officers found open,” Quinn noted. “He let me through.” Pike drew a breath, but Quinn raised a hand. “We’ll take the rest in a minute. Stay with the constable.” Eva’s gaze returned to the brass compass before she stepped back. Quinn knelt beside the body once more. She lifted the edge of the coat, exposing a narrow clean stripe down its back. Dust covered the surrounding cloth. “He was against something flat,” she told Pike. “After he bled.” “The floor’s flat.” “Then the whole back would be clean. This stripe is no wider than my hand.” She followed its line with her eyes towards the wall. The tiles there carried years of grime, except for a vertical band beside a chipped advertisement frame. At the base, grey powder lay in a shallow ridge. Blood had collected against it without soaking through. Pike crossed to her. “What is that?” “Not plaster. Look at the grains.” Patel brought the lamp closer. The powder glittered with tiny flecks of black stone. Quinn glanced down the platform, where the old track bed disappeared into darkness. Its ballast held the same flecks. “Someone brought that from the tracks,” Pike said. “Or it came through there.” He looked at the tiled wall. “There’s a platform on the other side.” “Then the station plans will show us how to reach it.” Quinn held the compass near the vertical band. The needle swung beneath the cracked glass and stopped. With her free hand, she touched the advertisement frame. It shifted against the tile, leaving fresh grey grit on her glove. “Patel, photograph this before anyone moves it.”
created_at"2026-09-23T16:26:51.248Z" 9/23/2026, 4:26:51 PM
model"openai/gpt-6-sol-20260922"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency14309
moderation_latency(null)
generation_time54192
tokens_prompt1112
tokens_completion2642
native_tokens_prompt1009
native_tokens_completion2667
native_tokens_completion_images0
native_tokens_reasoning516
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"
usage0.028688
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790180811-yGHYNwoKdDSAhw30p9rs"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790180811-i1Z0tVomtJPIArH2tXL6"
upstream_id"resp_0cbcff3ec857a82a016ab3fdcb623887d183c6d5760b487789"
provider_responses
0
endpoint_id"1cfc7d9d-4404-4b8e-9ee4-58ae45c9dcd4"
id"resp_0cbcff3ec857a82a016ab3fdcb623887d183c6d5760b487789"
is_byokfalse
latency754
model_permaslug"openai/gpt-6-sol-20260922"
provider_name"OpenAI"
status200
total_cost0.028688
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
totalTags13
adverbTagCount0
adverbTags(empty)
dialogueSentences91
tagDensity0.143
leniency0.286
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1688
totalAiIsmAdverbs0
found(empty)
highlights(empty)
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)
100.00% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1688
totalAiIsms0
found(empty)
highlights(empty)
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
narrationSentences120
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences120
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
maxSentenceWordsSeen25
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1688
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions14
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions65
wordCount1066
uniqueNames12
maxNameDensity2.63
worstName"Quinn"
maxWindowNameDensity5
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn28
Metropolitan1
Police1
Tube1
Detective2
Sergeant1
Martin1
Pike17
Patel4
Eva7
Kowalski1
persons
0"Harlow"
1"Quinn"
2"Sergeant"
3"Martin"
4"Pike"
5"Patel"
6"Eva"
7"Kowalski"
places(empty)
globalScore0.187
windowScore0
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
wordCount1688
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
totalParagraphs112
mean15.07
std13.55
cv0.899
sampleLengths
047
110
250
328
44
524
67
73
89
94
1016
1123
1226
1355
141
1516
163
1719
1825
195
205
2149
221
237
2442
254
2619
273
2816
2947
303
313
324
3325
343
3521
3619
376
3828
398
4040
418
4211
435
449
458
4649
477
485
4938
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences120
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs174
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount1
flaggedSentences1
totalSentences199
ratio0.005
matches
0"A cloth shopping bag rested near his feet; three packets of tea had spilled from it, their paper labels darkened where they touched the blood."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount471
adjectiveStacks0
stackExamples(empty)
adverbCount1
adverbRatio0.0021231422505307855
lyAdverbCount0
lyAdverbRatio0
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
mean8.48
std4.86
cv0.573
sampleLengths
019
19
219
310
411
512
611
716
813
93
1012
114
127
1317
147
153
169
174
182
1914
2014
219
225
2321
248
2515
267
2725
281
2916
303
316
3213
336
3412
357
365
375
387
398
4011
4111
4212
431
447
458
4614
4720
484
4919
60.47% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.37185929648241206
totalSentences199
uniqueOpeners74
29.50% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences113
matches
0"Dark red marked each one."
ratio0.009
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount27
totalSentences113
matches
0"She stepped over a string"
1"He rose when he saw"
2"he greeted her"
3"He lay between a counter"
4"His collar had folded beneath"
5"She leaned close enough to"
6"She followed them without stepping"
7"It sat inches from the"
8"She returned to the body."
9"She followed it to his"
10"She lowered the cuff"
11"It had been cut close"
12"Her gaze moved to the"
13"Its glass had cracked at"
14"He pointed towards the tracks"
15"She moved to the service"
16"It turned back across her"
17"She was short, with curly"
18"Her eyes stayed on the"
19"she told Quinn"
ratio0.239
35.22% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount96
totalSentences113
matches
0"Detective Harlow Quinn reached the"
1"Someone had painted black bars"
2"Canvas awnings ran along the"
3"Traders had left bowls, scales"
4"A row of glass jars"
5"Quinn checked the time on"
6"She stepped over a string"
7"The constable fell into step"
8"He rose when he saw"
9"he greeted her"
10"Quinn took in the man"
11"He lay between a counter"
12"Blood filled the grout beside"
13"A cloth shopping bag rested"
14"Pike gestured at the vacant"
15"Quinn looked back along the"
16"A lantern burned behind a"
17"Pike offered her a pair"
18"Quinn pulled them on and"
19"The dead man wore a"
ratio0.85
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences113
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences46
technicalSentenceCount1
matches
0"Detective Harlow Quinn reached the platform by a staircase lined with advertisements for concerts that had ended years ago."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags13
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount1
fancyTags
0"Quinn noted (note)"
dialogueSentences91
tagDensity0.066
leniency0.132
rawRatio0.167
effectiveRatio0.022
86.8396%