Run: 2026-09-03-01M1M0EVY9SMP6MC5JRW8B4WPD

Run Details

Duration:
3m 55s
Cost:
$0.046479
Provider:
AkashML

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
Quinn reached the abandoned Camden platform at half past one. The lift door shuddered shut behind her, and the tunnel took the sound. Yellow tape stretched across the tunnel mouth, and a cracked pillar held one end. Beyond the tape, the Veil Market had left its traces: overturned canvas, shattered glass, a row of empty stalls, and a chalk outline under a flickering lamp. The station lay beneath Camden, a mouth of iron and brick. The full moon had moved the market three streets east, but the platform kept the shapes. Old signs lined the wall. A green exit board hung crooked. A Tube map showed Camden in red, and the branch ended there. The platform lights blinked in a broken code, but Quinn ignored the code. Eva Kowalski, her colleague at the Museum liaison desk, crouched beside the outline. She wore a brown coat and a leather satchel bulging with notebooks. Her red curls fell over one ear as she lifted a corner of the tarp. "The body kept its heat." Quinn pulled a bone token from her pocket and set it on the dust. Her leather watch ticked against her wrist. "Corpses keep their heat." Eva wiped a speck of dust from her round glasses. "Since the market left and somebody left this man for the rats." Quinn looked at the chalk lines. The shape had a broad chest and a single boot, the left one missing. The right boot sat two feet from the outline, toe pointing north. The lamp above the body buzzed. A puddle of black fluid pooled near the collar. The tarp had a hole at the shoulder, a clean tear, no ragged edge. "Where is the rest of him?" Eva tapped the empty space where a leg should have stood. "The coroner's van took a section at midnight. They cut a femur and a rib for the lab." Quinn stepped over the tape. Her boots pressed into grey dust. She kept to the centre of the platform, away from the chalk. The air smelled of wet stone, copper, and the green bite of alchemical ink. Stalls around the body held empty hooks, broken vials, and one intact bottle of powdered moonwort. Eva pointed to the token. "The buyer paid." Quinn turned to the bone token on the ground. It bore a carved spiral and a smear of black fluid. Quinn traced the spiral. It matched the Market's entry mark. Eva tapped the spiral. "That token belongs in the victim's pocket. He sold it, then someone killed him over the debt." Quinn picked up the token. The bone felt warm. A thin line of greenish residue clung to the spiral. "Where is the wound?" Eva pointed at the collar. "A slash, edge of a knife or a glass shard. He bled out." Quinn knelt. She lifted the collar. The cut lay across the throat, two inches long, edges dark and clean. No blood welled. The black fluid on the floor did not touch the wound. Eva adjusted her satchel. "Alchemical ink. The market sells it for sealing. It dried in minutes." Quinn followed the line of the cut. The wound pointed east, but the black pool sat west. A slash from east to west should open the body toward the wound, not the floor. "Someone poured the ink." Eva's brow creased. "To fake a death." Quinn stood. She walked the circle of dust around the body. Four sets of prints crossed the platform. Two sets stopped at the tarp. One set turned and left toward the tunnel. The fourth set entered from the north wall and ended three paces from the body. Dust lay undisturbed around the seam. No hand prints touched the brick. Eva crouched by the northern prints. "The killer came from the service tunnel and ran." Quinn checked the prints. The toes pointed inward. The heels faced the wall. The set stopped at a seam in the brick, a seam no wider than a coin. "No footprints left the wall." Eva looked at the seam. "Then he climbed out." Quinn pulled the brass compass from the dead man's waistcoat. The casing wore a green patina. Sigils etched the face, fine as knife scratches. The needle did not point north. It pointed at the seam. Quinn turned the compass over. The backing bore a small hammer mark, the work of a Shade artisan. The verdigris gathered in the grooves, a green crust that no polish could lift. Eva moved closer. "A shadow compass. It tracks a rift." Quinn set the compass on the dust. The needle swung and fixed on the seam. "That wall." Eva followed the needle. "Old maintenance shaft. The city sealed it in 1911." Quinn placed her palm against the brick. The stone stayed cold, but the air through the seam moved against her hand. The compass needle trembled. "The victim carried the compass." Eva nodded. "He used it to find the market. The market follows the full moon, and the compass finds the door." Quinn examined the body's boots. The missing left boot left a dark smear on the floor. The right boot held a thin layer of dust from the north wall. The chalk outline showed a left foot, but the boot lay two feet from the outline. "He lost his boot before the cut." Eva checked the boot. "Then someone cut him after he walked barefoot." Quinn crouched at the hand. She lifted the dead man's hand. The fingers were clean, nails unbroken. A mugging would leave a scrape. A fight would leave a bruise. The hand held a small brass ring, a ring with a hole worn smooth. The metal had no inscription. The hole held a faint ring of wax. Eva pulled a notebook from her satchel. She opened it to a page of sketches. "The ring fits the keyhole on the vendor's stall. He was a seller, not a buyer." Quinn turned to the stall. One crate stood open. A row of sealed vials sat inside, and each bore a sigil. One vial held a clear liquid that caught the lamp and threw a tiny rainbow across the floor. Eva traced the rainbow. "Alchemical water. It binds shadow." Quinn looked from the vial to the compass, then to the seam in the wall. "He didn't come here to buy." Eva closed the notebook. "He came to close it." Quinn lifted the brass ring. The metal warmed under her thumb. The seam in the wall opened, a crack of grey light spreading along the brick. The compass needle spun, then locked on the gap. Eva took a step from the body. "The ring is the key." Quinn raised the ring. A drop of black fluid fell from the dead man's collar and hit the floor. Where it landed, the dust bloomed into a small, dark shape, and the shape pointed at the wall. Quinn set the compass beside the token. The needle pointed to her hand, to the ring, to the opening in the brick. "This isn't a murder scene." Eva's gaze fell to the chalk outline. The missing boot, the warm token, the clean wound, the footprints that stopped at the wall. "It's a stage." Quinn looked through the gap. The cold moved across her knuckles. The lamp above the body went out, and the seam gave the only light. "Stage." Quinn's hand closed around the ring.
created_at"2026-09-03T16:08:32.976Z" 9/3/2026, 4:08:32 PM
model"qwen/qwen3.8-27b-20260814"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency829
moderation_latency(null)
generation_time235357
tokens_prompt1112
tokens_completion17819
native_tokens_prompt1138
native_tokens_completion18446
native_tokens_completion_images(null)
native_tokens_reasoning16130
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)
usage0.04647916
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788451712-SXVPC8hlgOE2OgYLPZFo"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788451712-KmcmYMnVExEhAHAwdnXs"
upstream_id"chatcmpl-9c36cefb652f77c6"
provider_responses
0
endpoint_id"c15e008c-6180-4155-8707-bde541bc7884"
id"chatcmpl-9c36cefb652f77c6"
is_byokfalse
latency829
model_permaslug"qwen/qwen3.8-27b-20260814"
provider_name"AkashML"
status200
total_cost0.04647916
cache_discount(null)
upstream_inference_cost0
provider_name"AkashML"
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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)
wordCount1234
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)
79.74% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1234
totalAiIsms5
found
0
word"shattered"
count1
1
word"traced"
count2
2
word"etched"
count1
3
word"trembled"
count1
highlights
0"shattered"
1"traced"
2"etched"
3"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
narrationSentences116
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
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)
analyzedSentences146
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen27
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1234
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions0
unquotedAttributions0
matches(empty)
26.36% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions57
wordCount1011
uniqueNames10
maxNameDensity2.47
worstName"Quinn"
maxWindowNameDensity3.5
worstWindowName"Quinn"
discoveredNames
Camden3
Veil1
Market2
Tube1
Quinn25
Kowalski1
Museum1
Shade1
Eva19
One3
persons
0"Market"
1"Quinn"
2"Kowalski"
3"Eva"
4"One"
places
0"Museum"
globalScore0.264
windowScore0.5
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences81
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1234
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences146
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs3
mean0
std0
cv0
sampleLengths
091
136
21107
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
pastProgressiveCount0
totalVerbs149
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences146
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1011
adjectiveStacks0
stackExamples(empty)
adverbCount5
adverbRatio0.004945598417408506
lyAdverbCount1
lyAdverbRatio0.0009891196834817012
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences146
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences146
mean8.45
std4.66
cv0.551
sampleLengths
010
113
214
327
411
516
65
76
812
913
1013
1112
1215
135
1414
157
164
1710
1812
196
2014
2112
226
239
2414
256
2611
2718
285
296
3012
3114
3216
335
343
359
3611
374
386
394
4017
415
424
4310
444
455
4613
472
484
4913
38.36% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats17
diversityRatio0.1917808219178082
totalSentences146
uniqueOpeners28
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences113
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount12
totalSentences113
matches
0"She wore a brown coat"
1"Her red curls fell over"
2"Her leather watch ticked against"
3"Her boots pressed into grey"
4"She kept to the centre"
5"It bore a carved spiral"
6"It matched the Market's entry"
7"She lifted the collar."
8"She walked the circle of"
9"It pointed at the seam."
10"She lifted the dead man's"
11"She opened it to a"
ratio0.106
8.67% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount102
totalSentences113
matches
0"Quinn reached the abandoned Camden"
1"The lift door shuddered shut"
2"The station lay beneath Camden,"
3"The full moon had moved"
4"A green exit board hung"
5"A Tube map showed Camden"
6"The platform lights blinked in"
7"Eva Kowalski, her colleague at"
8"She wore a brown coat"
9"Her red curls fell over"
10"Quinn pulled a bone token"
11"Her leather watch ticked against"
12"Eva wiped a speck of"
13"Quinn looked at the chalk"
14"The shape had a broad"
15"The right boot sat two"
16"The lamp above the body"
17"A puddle of black fluid"
18"The tarp had a hole"
19"Eva tapped the empty space"
ratio0.903
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
analyzedSentences45
technicalSentenceCount1
matches
0"The missing boot, the warm token, the clean wound, the footprints that stopped at the wall."
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
85.1043%