Run: 2026-09-03-01M1M0D6E9CFZNE9D6MYM77DY0

Run Details

Duration:
9m 56s
Cost:
$0.074346
Provider:
Reka

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 lift cage shuddered and stopped. Detective Harlow Quinn stepped out onto an abandoned Tube platform beneath Camden. The station had not carried a passenger in forty years. Her salt-and-pepper hair lay flat against her skull. Her leather watch ticked against her left wrist. Six missing tiles ran from the cage to the ticket box. Dust hung in the cold air. Beyond the ticket box, oilskin canopies sagged over stalls that the maps did not show. Chalk letters crowded a board: FULL MOON STALLS. The smell came from the stone: wet iron, burnt wax, and the green bite of mould. A dead man lay at the centre of the platform. His coat lay open. His hands covered a brass compass. A runner in a hooded anorak stood by the ticket cage, her boots black with sand. Detective Ian Evans, Quinn’s colleague, leaned against the ticket box and pulled his jacket to his chest. "Stay clear of the light." The runner found him at eleven. Evans wiped sweat from his neck. "Heart gave out. No injuries. No blood. No weapon. The stall kept him within." Quinn looked at the runner. She looked at the dead man’s boots. The boots were clean. Quinn crouched near the chalk line. "The man entered?" Evans stepped over the chalk line. "I found him on this platform. You don’t have to make a thing of it." Quinn walked the platform without touching the missing tiles. "I’m not making a thing. Footprints run from the cage to the ticket box. No footprints touch the body. No drag marks. No blood trail. Someone placed him on the platform." Eva Kowalski came through the gap in the cordon tape. Her leather satchel struck her hip. She set a notebook on a stall table and took off her round glasses. "You came because of the compass." Quinn crouched by the dead man. "No. The Met found a body in a place the Met can’t name." The brass compass lay under the dead man’s fingers, its lid open. Verdigris flaked from the casing. Tiny sigils etched the face. The needle trembled, pointed at the wall behind the body. Eva pointed at the face. "Veil Compass. Protective sigils. A Shade artisan’s work." Quinn lifted the dead man’s left hand. "Explain it in a way a coroner can use." A bone disc hung from a cord around the dead man’s neck. Quinn turned it in the lamplight. The token bore a notch on one edge, stained with red ochre. Eva knelt, her freckled hand hovering over the dead man’s wrist. "It points to a rift. A portal. A place the Veil thins. The Veil Market moves every full moon. This station has been a trading floor since the last one. People come for banned alchemical salts, for bones, for information. They use bone tokens to get in." Quinn held the notched disc under her thumb. "Where are the tokens?" Eva pointed to the dead man’s throat. "His." Quinn stood and went to the stall behind the body. Black cloth covered a table. Glass jars stood in a row. A scale leaned against a crate. A leather ledger lay open on the cloth. The till stood closed. A scratch ran through the lock. Quinn ran her thumb over the till plate. "The till holds no coins. The lock took a pick. The jars stay full. The seller lost the till, not the goods." Evans looked from the body to the stall. "You think robbers killed him." Quinn moved to the jar of shadow-salt. The cap lay on the platform. A line of grey salt led from the jar to the dead man’s left foot. The line stopped. No line went to the wall. The compass needle pointed at a hairline crack in the tiles. The crack ran behind the ticket cage and vanished under the platform. "I think a payment stopped him." Evans laughed. "You want me to write ‘portal’ in the report?" Quinn counted the steps between the body and the crack. Six. The missing tiles numbered six. She crouched. The dead man’s coat had a tear at the seam. A small brass clip lay under the ticket cage, wet with condensation. Quinn wiped the clip with her cuff. "The ticket cage saw use this month. The latch shows polish. The lock is new. This market hides from no one." Eva tucked a curl behind her left ear. "That’s what I meant. The evidence doesn’t add up to murder. It adds up to a sale." "Sale what?" Eva lifted the ledger from the stall. The pages held dense names and dates. She opened it to the last entry. "The compass. The dead man isn’t the seller. He’s the buyer. Fenwick paid for a Veil Compass and a bone token. The seller’s initial is H.Q." Quinn’s jaw tightened. "Not mine." Eva turned the page. "It’s not. It’s the initial of the woman who bought from the Veil Market on the night DS Morris disappeared." The market went still. The runner by the ticket cage stopped shifting. Evans held his breath. Quinn looked at the dead man’s hands. The fingers had not closed around the compass in death. The left ring finger carried a chipped nail. A thin line of black ink stained the cuticle. Quinn lifted the compass. "Who put it in his hand?" Eva closed the ledger. "He held it. The ink comes from a stamp. The Veil Market stamps its receipts. He didn’t die with the compass in his hand. Someone placed it in his hand, opened the lid, and aimed the needle." "Opening the lid won’t aim the needle." Quinn lifted the compass. The verdigris flaked from under her thumb. A seam ran along the brass. The needle did not swing. A pin held it in the casing. "Not if the case cracked." Evans crouched by the body. "What is real?" Quinn stood. "The body isn’t the whole scene. Or it’s not the body we need. The dead man is Fenwick. The missing person bought the compass. The runner carried it to the platform." The runner drew back from the ticket cage. Her hood fell. A brass pin caught the lamplight at her collar. The pin held a tiny compass, its needle fixed. Quinn walked toward the runner. The girl’s shoes left black sand on the platform. The sand did not crumble. It spread in a line across the dust. The line stopped at the dead man’s left boot. Quinn kept the compass in front of her. "Where is Fenwick?" The girl’s hand went to the bone token at her throat. The token matched the notched edge of the dead man’s token. One side lay smooth. One side lay rough. Quinn reached for the girl’s wrist. The girl’s fingers closed around the notched edge. A crack opened in the air behind her, thin as a knife line. The Veil Compass in Quinn’s hand went cold.
created_at"2026-09-03T16:07:38.195Z" 9/3/2026, 4:07:38 PM
model"qwen/qwen3.8-27b-20260814"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency294
moderation_latency(null)
generation_time596045
tokens_prompt1112
tokens_completion26220
native_tokens_prompt1138
native_tokens_completion29048
native_tokens_completion_images(null)
native_tokens_reasoning24578
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"stop"
service_tier(null)
usage0.07434552
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788451658-yQstD90Xt5vc2Qd6qipw"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788451658-FyQJZztYy9k6veCxNPOe"
upstream_id"chatcmpl-dcc714e3-f962-45b8-bded-9c1cc9914818"
provider_responses
0
endpoint_id"15086968-df2f-4d69-86bb-c74c31644bb6"
id"chatcmpl-dcc714e3-f962-45b8-bded-9c1cc9914818"
is_byokfalse
latency261
model_permaslug"qwen/qwen3.8-27b-20260814"
provider_name"Reka"
status200
total_cost0.07434552
cache_discount(null)
upstream_inference_cost0
provider_name"Reka"
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
totalTags0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1154
totalAiIsmAdverbs0
found(empty)
highlights(empty)
80.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found
0"Evans"
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
91.33% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1154
totalAiIsms2
found
0
word"etched"
count1
1
word"trembled"
count1
highlights
0"etched"
1"trembled"
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
narrationSentences103
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences103
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences132
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen47
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1154
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
1.80% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions45
wordCount776
uniqueNames10
maxNameDensity2.96
worstName"Quinn"
maxWindowNameDensity4.5
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn23
Tube1
Camden1
Ian1
Evans7
Kowalski1
Veil1
Compass1
Eva8
persons
0"Harlow"
1"Quinn"
2"Ian"
3"Evans"
4"Kowalski"
5"Compass"
6"Eva"
places(empty)
globalScore0.018
windowScore0.167
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences75
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1154
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences132
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs70
mean16.49
std16.76
cv1.017
sampleLengths
0100
136
217
35
412
514
612
74
86
93
106
1115
129
1331
1430
156
166
1713
1832
195
208
217
229
2330
2411
2547
268
274
287
291
3045
318
3222
338
345
3560
366
372
389
3940
407
4121
428
4317
442
4521
4626
473
482
494
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences103
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs127
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences132
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount779
adjectiveStacks0
stackExamples(empty)
adverbCount2
adverbRatio0.0025673940949935813
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences132
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences132
mean8.74
std6.6
cv0.755
sampleLengths
06
112
210
38
48
511
66
715
88
916
1010
114
126
1316
1417
155
166
176
1814
195
207
214
226
233
246
2515
269
2731
2810
296
3014
316
326
3313
3412
355
365
3710
385
398
407
419
4212
436
4412
4511
4647
478
484
497
42.42% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats10
diversityRatio0.25757575757575757
totalSentences132
uniqueOpeners34
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences99
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount10
totalSentences99
matches
0"Her salt-and-pepper hair lay flat"
1"Her leather watch ticked against"
2"His coat lay open."
3"His hands covered a brass"
4"She looked at the dead"
5"Her leather satchel struck her"
6"She set a notebook on"
7"She opened it to the"
8"Her hood fell."
9"It spread in a line"
ratio0.101
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount92
totalSentences99
matches
0"The lift cage shuddered and"
1"Detective Harlow Quinn stepped out"
2"The station had not carried"
3"Her salt-and-pepper hair lay flat"
4"Her leather watch ticked against"
5"Dust hung in the cold"
6"Chalk letters crowded a board:"
7"The smell came from the"
8"A dead man lay at"
9"His coat lay open."
10"His hands covered a brass"
11"A runner in a hooded"
12"Detective Ian Evans, Quinn’s colleague,"
13"The runner found him at"
14"Evans wiped sweat from his"
15"Quinn looked at the runner."
16"She looked at the dead"
17"The boots were clean."
18"Quinn crouched near the chalk"
19"Evans stepped over the chalk"
ratio0.929
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences99
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences27
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags0
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
83.8521%