Run: 2026-09-23-01M37HT1XD0HT1MHETYS1WCCRH

Run Details

Duration:
1m
Cost:
$0.031338
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 found the entrance beneath a shop that sold second-hand records. Its owner had left the lights burning and the till open. Behind a rack of cracked LP sleeves, a stairwell descended farther than any cellar had a right to go. At the bottom, a locked iron gate barred the way to an abandoned Tube platform. A constable stood beside it with a white chip of bone in his gloved hand. “That’s the key?” Quinn asked. “Woman who called it in gave it to us. Fits the slot.” He pushed the bone into a narrow opening beneath the lock. The gate clicked open. Quinn glanced at the rust around the hinges. Fresh scratches cut through it. Her colleague, Detective Sergeant Nikhil Patel, waited on the other side. His shoes stood in a shallow puddle that smelled of old rain and machine oil. “You took your time.” “You told dispatch it was a body in a closed station. I wanted to know who closed it.” Patel pointed down the platform. “Ask him.” Quinn passed a row of empty stalls. Their counters stood under striped canvas awnings, with price cards still pegged to bits of string. Someone had left a cup of tea on a brass scale. Steam no longer rose from it, but the ceramic warmed Quinn’s fingertips through her glove. A bowl of black fruit sat beside a locked glass case. Beyond the stalls, a tiled sign read CAMDEN ROAD, although no station by that name lay beneath this street. “What is this place?” “Illegal market. We found knives, unlicensed medicine, jars of something I don’t want identified before lunch.” Patel kept pace with her. “Everyone cleared out before uniforms reached the gate.” “Everyone except our caller.” “She’s with a constable at the far end. Name’s Eva Kowalski. Museum employee. Claims she came down to buy a book.” “From a market you need a bone key to enter.” “That’s the shape of it.” The body lay between a stall draped in green cloth and the yellow line along the platform edge. A man in his forties, perhaps. Dark coat, grey trousers, expensive boots with grit lodged in the treads. A narrow slit marked the left side of his coat. Someone had drawn a chalk line around him, though the photographer had yet to arrive. Quinn stopped short of the line. “Who moved him?” “No one.” “Then who drew that?” Patel looked down. “First constable in. Old habits.” “Tell him to lose them. We have photographs, not a children’s pavement game.” Patel stepped away to make the call. Quinn crouched. The man’s left arm lay beneath his chest; his right hand curled against the tiles. A dark patch spread across the coat below the slit. No blood marked the floor. A folded paper price card protruded from his breast pocket. Quinn left it where it was. “Stab wound,” Patel told her when he returned. “Robbery, most likely. His wallet’s gone, and half these stalls have empty display boxes. Someone hit the traders, killed the one who fought back.” “Where’s the blood?” “Inside the coat. Or he was stabbed elsewhere and brought here.” “Which one?” “We’ll know when the pathologist gets him.” Quinn leaned closer. A bead of dried blood clung to the lower edge of the slit. Above it, three pale threads poked out of the cut fabric. The cloth beneath looked clean. She lifted the coat’s edge with a gloved finger and exposed an intact blue shirt. Patel fell quiet. Quinn followed the line of the slit with her eyes, then checked the man’s neck and the portion of his face visible beneath his cheek. No wound there. His lips had turned a colour she disliked. “The coat was cut,” she told Patel. “Not the man.” Patel crouched opposite her. “Could have changed shirts.” “After he died?” “Before.” “Then somebody dressed him, cut his coat and put blood on it. We’d still need to know why.” A constable called from the end of the platform. “Ma’am? Miss Kowalski’s asking to speak to you.” Eva Kowalski stood beside a tiled pillar with her arms wrapped around a worn leather satchel. Curly red hair escaped a knot above the collar of her coat. Her round glasses caught the constable’s torchlight as she watched Quinn approach. “You called us?” Quinn asked. Eva tucked a curl behind her left ear. “Yes. I found him when I came back from the book stall.” “Which book stall?” Eva glanced past Quinn. “It isn’t there now.” “Show me where it was.” Eva led her towards the tunnel mouth. Her shoes tapped over tiles streaked with dust. She stopped at a bare stretch of wall between two iron columns. “Here. The seller had a green lamp. Shelves on both sides.” Quinn saw four pale rectangles on the floor where heavy feet had shielded the tiles from grime. A thin crescent of green glass lay beside one of them. “When did you find him?” Quinn asked. “A little after nine. I heard a noise first.” “What kind?” Eva pressed her lips together. “Metal on metal. Like someone dragging a shovel across a gate.” “Did you see anyone leave?” “No.” “Yet all the sellers vanished.” “They heard it too.” Patel joined them. “You told the constable you saw two men arguing with the deceased.” “I saw him talking to two men. I couldn’t hear them.” “Describe them.” “One wore a brown coat. The other had his back to me.” Eva shifted the satchel higher on her shoulder. “I already gave their descriptions.” “You described one coat and one back,” Patel answered. Quinn held up a hand. “The man on the floor. Did you know him?” “No.” “Did you touch him?” “I checked for a pulse. At his wrist.” Quinn remembered the man’s curled right hand. Its fingers held a trace of green pigment, and a narrow blue mark crossed his wrist. Eva’s own fingertips carried grey dust from the books in her satchel. No green. “What did you buy?” “A list of book titles. The seller wouldn’t part with the book.” “Let me see it.” Eva opened the satchel and searched between two thick volumes. She drew out a folded sheet, but a small brass compass slid free with it and struck the tile. Eva froze. Patel reached for the object. Quinn stopped him. The brass casing carried patches of verdigris. Tiny sigils circled its face in lines too fine to read without a lens. Its needle pointed across the platform, towards the tiled wall behind the body. “Is that yours?” Quinn asked. “Yes.” “What does it measure?” Eva looked at the needle. “It’s a compass.” “That wasn’t the question.” “It came from a stall here.” Quinn picked it up by the rim. The needle swung as she rose, then settled towards the same wall. She walked three paces towards the tunnel. The needle shifted under the glass, pointing back across her hand. She retraced her steps and moved closer to the platform edge. It turned again. Patel held out his palm. “Magnet in the tiles?” “Could be.” Quinn gave him the compass. “Take it towards the stairs.” Patel walked past the body. The needle turned in his hand until it pointed behind him. Eva watched the floor. Quinn followed her gaze. A fine track cut through the dust beside the platform wall. It ran from the spot where the body lay to a dark grout line between two tiles, narrow enough for a boot heel. Quinn crouched. The track held green pigment, the same colour she had seen on the dead man’s fingertips. Patel came back with the compass. “Needle wants that wall from every angle.” Quinn raised her torch. The tiles wore decades of stains: brown watermarks, old adhesive, soot near the ceiling. One vertical grout line looked darker than the rest. At its foot lay a fleck of fresh mortar. Above it, near shoulder height, something had scraped the glaze from a tile, leaving a white curve. “Your two men,” Quinn asked Eva. “Where did they stand?” Eva pointed to the empty space between the body and the wall. “There.” “And the man on the floor?” “His back was to me. Near that stall.” Quinn stepped to the place Eva indicated. The scraped tile came into line with her shoulder. She reached towards it, then stopped short of touching the wall. From here she could see beneath the dead man’s outstretched arm. A second, shorter track crossed the dust, hidden by his body from the platform entrance. Two parallel marks led from the dark grout line to the place where he had fallen. Quinn lowered the torch until its beam skimmed the floor. Green dust caught the light along both marks. “Patel. Get photographs from this angle before anyone goes near the wall.” He moved to call the photographer. Quinn stayed where she was, looking from the tracks to the slit in the man’s coat. Eva stood beside the vanished stall, one hand clamped over the mouth of her satchel. “Miss Kowalski,” Quinn asked, “what made the metal noise?” Eva looked at the scratched tile. Quinn waited, her torch held low against the floor.
created_at"2026-09-23T16:33:01.364Z" 9/23/2026, 4:33:01 PM
model"openai/gpt-6-sol-20260922"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency24188
moderation_latency(null)
generation_time60444
tokens_prompt1112
tokens_completion2349
native_tokens_prompt1009
native_tokens_completion2932
native_tokens_completion_images0
native_tokens_reasoning978
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"
usage0.031338
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790181181-iUbblKvi3RnP6No8KiwG"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790181181-6vbWxu9DyVZIwYvydpft"
upstream_id"resp_04ee55b97daa5c7e016ab3ff3d759087d1ae08711cdaec4060"
provider_responses
0
endpoint_id"1cfc7d9d-4404-4b8e-9ee4-58ae45c9dcd4"
id"resp_04ee55b97daa5c7e016ab3ff3d759087d1ae08711cdaec4060"
is_byokfalse
latency1657
model_permaslug"openai/gpt-6-sol-20260922"
provider_name"OpenAI"
status200
total_cost0.031338
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
totalTags12
adverbTagCount0
adverbTags(empty)
dialogueSentences74
tagDensity0.162
leniency0.324
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1529
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)
96.73% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1529
totalAiIsms1
found
0
word"pulse"
count1
highlights
0"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
narrationSentences116
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences116
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences178
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
totalWords1529
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions11
unquotedAttributions0
matches(empty)
7.69% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions68
wordCount1054
uniqueNames9
maxNameDensity2.85
worstName"Quinn"
maxWindowNameDensity4
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn30
Tube1
Detective2
Sergeant1
Nikhil1
Patel15
Kowalski1
Eva16
persons
0"Harlow"
1"Quinn"
2"Sergeant"
3"Nikhil"
4"Patel"
5"Kowalski"
6"Eva"
places(empty)
globalScore0.077
windowScore0.333
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences79
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1529
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences178
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs96
mean15.93
std15.97
cv1.003
sampleLengths
043
130
25
312
428
526
64
718
87
979
104
1129
124
1321
1410
155
1661
179
182
194
208
2113
2239
2316
2432
253
2611
272
287
2947
303
3136
3210
338
343
351
3618
3717
3840
395
4020
413
428
435
4427
4511
4628
477
489
492
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences116
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs166
matches
0"was, looking"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount1
flaggedSentences1
totalSentences178
ratio0.006
matches
0"The man’s left arm lay beneath his chest; his right hand curled against the tiles."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1055
adjectiveStacks0
stackExamples(empty)
adverbCount15
adverbRatio0.014218009478672985
lyAdverbCount1
lyAdverbRatio0.0009478672985781991
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences178
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences178
mean8.59
std5.21
cv0.607
sampleLengths
013
111
219
315
415
55
612
711
84
98
105
1111
1215
134
1418
155
162
177
1816
1911
2015
2111
2219
234
2421
258
264
2721
2810
295
3018
316
3212
3310
3415
356
363
372
384
393
405
4113
427
432
4415
4510
465
4710
486
498
63.48% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.38764044943820225
totalSentences178
uniqueOpeners69
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences106
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount20
totalSentences106
matches
0"Its owner had left the"
1"He pushed the bone into"
2"Her colleague, Detective Sergeant Nikhil"
3"His shoes stood in a"
4"Their counters stood under striped"
5"She lifted the coat’s edge"
6"His lips had turned a"
7"she told Patel"
8"Her round glasses caught the"
9"Her shoes tapped over tiles"
10"She stopped at a bare"
11"Its fingers held a trace"
12"She drew out a folded"
13"Its needle pointed across the"
14"She walked three paces towards"
15"She retraced her steps and"
16"It turned again."
17"It ran from the spot"
18"She reached towards it, then"
19"He moved to call the"
ratio0.189
35.47% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount90
totalSentences106
matches
0"Detective Harlow Quinn found the"
1"Its owner had left the"
2"A constable stood beside it"
3"He pushed the bone into"
4"The gate clicked open."
5"Quinn glanced at the rust"
6"Her colleague, Detective Sergeant Nikhil"
7"His shoes stood in a"
8"Patel pointed down the platform."
9"Quinn passed a row of"
10"Their counters stood under striped"
11"Someone had left a cup"
12"Steam no longer rose from"
13"A bowl of black fruit"
14"Patel kept pace with her"
15"The body lay between a"
16"A man in his forties,"
17"A narrow slit marked the"
18"Someone had drawn a chalk"
19"Quinn stopped short of the"
ratio0.849
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences106
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences53
technicalSentenceCount1
matches
0"Detective Harlow Quinn found the entrance beneath a shop that sold second-hand records."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags12
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags9
fancyCount0
fancyTags(empty)
dialogueSentences74
tagDensity0.122
leniency0.243
rawRatio0
effectiveRatio0
86.1123%