Run: 2026-09-03-01M1KB4Z29Q15V7ABNF6C41134

Run Details

Duration:
28.4s
Cost:
$0.000501
Provider:
Makora

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 air in the abandoned Tube station tasted of rust and damp concrete, with something else underneath—something sweet and wrong, like overripe fruit left to rot in a locked room. Detective Harlow Quinn stepped off the last tread of the service staircase and let her eyes adjust to the sodium-orange glow of temporary lighting rigs strung along the tunnel. A body lay sprawled across the old platform, half-hidden behind a collapsed advertising hoarding for a brand of cigarettes that had stopped being manufactured in the nineties. The victim was male, mid-thirties, dressed in a suit that cost more than Quinn's monthly rent. His tie was still knotted. His shoes were polished. His face was a mask of frozen surprise. PC Devlin hovered near the tape, clipboard in hand, looking like a man who'd swallowed something disagreeable. He was young, eager, and entirely out of his depth. Quinn had asked for a forensic team and got Devlin instead. Budget cuts, they'd said. Resource reallocation. She'd stopped arguing by the third call. "Time of death?" she asked. "Preliminary says between midnight and two," Devlin said, consulting his notes. "Pathology hasn't given us anything firmer." Quinn crouched beside the body, careful not to disturb anything. She noted the absence of visible wounds—no blood, no bruising, no signs of a struggle. The man's hands rested neatly at his sides, fingers slightly curled, like a cadaver arranged for viewing. "Who found him?" "A night cleaner. Says she'd never been down here before—got lost looking for a supply closet." "In an abandoned Tube station." Devlin shrugged. "Contractors use the tunnels for storage sometimes. She had a keycard that worked on the maintenance gates." Quinn studied the victim's face. The surprise there bothered her. Real surprise, the kind you couldn't fake with rigor mortis and careful positioning. Whatever had happened, he'd seen it coming in the final instant. "ID?" "Wallet says Marcus Flint. Solicitor in the city. Offices off Chancery Lane." "Anything on his person besides the wallet?" Devlin flicked through his notes. "Keys, phone, a receipt for dinner at a place in Soho. Oh, and this." He held up an evidence bag containing a small brass compass. Quinn took it, feeling the weight of the casing through the plastic. The verdigris patina was old, deliberate—not the kind of tarnish that comes from neglect, but the kind that comes from being handled, treasured, kept close. She tilted it toward the light. The needle wasn't pointing north. It was pointing down the tunnel, deeper into the darkness where the platforms ended and the tracks ran into collapsed brick and shadow. "Compass is broken," Devlin offered. "Old thing. Probably a family heirloom." Quinn turned it over in her hands. The face was etched with symbols she didn't recognise—not runes, not Greek, not anything she'd encountered in eighteen years of policing. They were precise, deliberate, carved with the kind of care that suggested ritual rather than ornament. She thought about the victim's face again. Surprise. Not fear. Not anger. Surprise, as though he'd walked into a room expecting one thing and found another. "Harlow." The voice came from behind her, and Quinn rose without turning. She knew that tone—the careful, measured neutrality of someone trying not to alarm her. DI Sarah Chen stood at the edge of the light, hands in her pockets, shoulders squared. She was Quinn's opposite in almost every way: pragmatic where Quinn was instinctive, methodical where Quinn was improvisational. They'd worked together for six years. Chen had never once come to a crime scene unannounced. "You're a long way from the Met," Quinn said. "These tunnels are under Camden. That's Met territory. And you're a long way from your desk." "Crime doesn't respect office hours." Chen stepped past the tape and walked the perimeter, her eyes scanning the platform with the practiced efficiency of someone who'd seen too many bodies to count. She stopped at the far end, near a grate set into the tunnel wall. "Uniform found this place after a tip-off," she said. "Anonymous call, three in the morning. Said a man's been killed in the old Edgware North station. When we got here, the doors were unlocked, the lights were rigged, and there was nothing else. Just him." "Just him and a compass pointing somewhere it shouldn't." Chen came closer, squinting at the evidence bag. "It's pointing south-southwest. Probably just magnetised—old brass stuff holds fields weird sometimes." "Magnetised to point down a dead tunnel?" "The tracks run both directions. Maybe he dropped it, needle stuck, whatever. It's a trinket, Harlow. Not evidence." Quinn looked back at the body. Marcus Flint, solicitor, dead in an abandoned station with no wounds and no witnesses. His suit was pristine except for a smear of something dark on his left cuff. She leaned closer. The smear was wax. Black wax, like from a seal or a candle. "Devlin," she said. "Get forensics to swab the cuff. I want to know what that wax is and where it came from." Devlin made a note. Chen watched her with an expression Quinn couldn't quite parse. "There's a market down here," Chen said quietly. "I've heard rumours. People in Camden talk about underground trades, things that aren't quite legal. Items that don't quite exist." Quinn's eyes narrowed. "You think he was here for a transaction?" "I think he was here for something. Look at his shoes—pristine. He polished them before coming. His tie is straight. He's not a victim of a mugging or a random attack. He came here intending to meet someone. He came here prepared." "Prepared for what?" Chen gestured at the blank walls, the empty platform, the body with its neat posture and placid face. "Maybe prepared for this. Maybe he knew what was going to happen. Maybe that's why he walked into it willingly." Quinn shook her head. She went back to the body and knelt again, this time examining the floor around it. The concrete was damp, streaked with grime, layered with years of neglect. But around the head, there was a pattern—a faint discolouration, a stain that didn't match the rest. She pulled a penlight from her pocket and swept it across the surface. The stain was concentric, almost circular, and it didn't look like water damage. It looked like the residue of something that had been placed there and removed. "He wasn't killed here," she said. Chen stepped closer. "What?" "Look at the angle of the body. He's lying flat, arms at sides, legs straight—an arrangement. No one dies like that in an accident or a struggle. He was positioned. And this stain under his head suggests something sat there before he arrived. Something round. Something heavy." She stood and swept the light across the rest of the platform. Near the grate Chen had examined, she found what she was looking for—a thin line scratched into the concrete, barely visible under the grime. It formed the edge of a circle, wider than the stain near the body, and inside it, faint but present, were the same symbols from the compass. "I think this place was used as a stage," Quinn said. "And Marcus Flint wasn't the main act. He was the prop." Chen was silent for a long moment. Then she looked at the evidence bag again, at the compass with its needle pointing down the tunnel. "That thing he was carrying," she said. "It's not a compass, is it?" Quinn looked at it, at the verdigris casing, the etched sigils, the needle that wouldn't find north. "It's a map," she said. "It's pointing somewhere. And whoever killed him took whatever was there before we arrived." She pocketed the evidence bag and walked toward the dark mouth of the tunnel. The needle shifted as she moved, aligning itself with the hidden path ahead. Behind her, Chen called out, but Quinn didn't stop. She had a compass. She had a body. And somewhere down there, in the dark beneath the city, she had the truth.
created_at"2026-09-03T09:56:08.425Z" 9/3/2026, 9:56:08 AM
model"deepseek/deepseek-v4-flash-20260731"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency279
moderation_latency(null)
generation_time27993
tokens_prompt1112
tokens_completion2439
native_tokens_prompt1033
native_tokens_completion2091
native_tokens_completion_images(null)
native_tokens_reasoning414
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)
usage0.000500715
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788429368-yYVGfJSBEV7yYZKwT30u"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788429368-NyjE6OcT2oypSh6pHZcK"
upstream_id"chatcmpl-f1cf9835-93bb-4395-8749-677649f5fa99"
provider_responses
0
endpoint_id"f954a48e-1c90-433b-9348-4720f8030331"
is_byokfalse
latency220
model_permaslug"deepseek/deepseek-v4-flash-20260731"
provider_name"OpenInference"
status429
1
endpoint_id"562d5188-97d1-49f7-8881-d0e417e31ada"
id"chatcmpl-f1cf9835-93bb-4395-8749-677649f5fa99"
is_byokfalse
latency180
model_permaslug"deepseek/deepseek-v4-flash-20260731"
provider_name"Makora"
status200
total_cost0.000500715
cache_discount(null)
upstream_inference_cost0
provider_name"Makora"
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
totalTags11
adverbTagCount1
adverbTags
0"Chen said quietly [quietly]"
dialogueSentences40
tagDensity0.275
leniency0.55
rawRatio0.091
effectiveRatio0.05
96.27% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1342
totalAiIsmAdverbs1
found
0
adverb"slightly"
count1
highlights
0"slightly"
40.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found
0"Chen"
1"Marcus"
2"Sarah"
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
66.47% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1342
totalAiIsms9
found
0
word"flicked"
count1
1
word"weight"
count1
2
word"etched"
count2
3
word"measured"
count1
4
word"methodical"
count1
5
word"scanning"
count1
6
word"pristine"
count2
highlights
0"flicked"
1"weight"
2"etched"
3"measured"
4"methodical"
5"scanning"
6"pristine"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes narrowed"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences86
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences86
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences115
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen48
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1331
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions16
unquotedAttributions0
matches(empty)
33.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions42
wordCount896
uniqueNames8
maxNameDensity2.12
worstName"Quinn"
maxWindowNameDensity4
worstWindowName"Quinn"
discoveredNames
Tube1
Harlow1
Quinn19
Devlin7
Greek1
Sarah1
Chen11
Flint1
persons
0"Harlow"
1"Quinn"
2"Devlin"
3"Sarah"
4"Chen"
5"Flint"
places(empty)
globalScore0.44
windowScore0.333
59.09% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences55
glossingSentenceCount2
matches
0"quite parse"
1"looked like the residue of something that"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.751
wordCount1331
matches
0"not the kind of tarnish that comes from neglect, but the kind"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences115
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs54
mean24.65
std17.29
cv0.702
sampleLengths
059
160
251
35
417
542
63
716
85
919
1034
111
1212
137
1419
1554
1628
1711
1844
1926
201
2125
2250
239
2416
255
2641
2745
289
2920
307
3118
3238
3313
3422
3514
3628
3711
3842
393
4038
4149
4240
436
444
4547
4663
4722
4825
4913
88.94% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences86
matches
0"being manufactured"
1"being handled"
2"was etched"
3"been placed"
76.54% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs162
matches
0"wasn't pointing"
1"was pointing"
2"was looking"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount7
semicolonCount0
flaggedSentences7
totalSentences115
ratio0.061
matches
0"The air in the abandoned Tube station tasted of rust and damp concrete, with something else underneath—something sweet and wrong, like overripe fruit left to rot in a locked room."
1"She noted the absence of visible wounds—no blood, no bruising, no signs of a struggle."
2"The verdigris patina was old, deliberate—not the kind of tarnish that comes from neglect, but the kind that comes from being handled, treasured, kept close."
3"The face was etched with symbols she didn't recognise—not runes, not Greek, not anything she'd encountered in eighteen years of policing."
4"She knew that tone—the careful, measured neutrality of someone trying not to alarm her."
5"But around the head, there was a pattern—a faint discolouration, a stain that didn't match the rest."
6"Near the grate Chen had examined, she found what she was looking for—a thin line scratched into the concrete, barely visible under the grime."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount906
adjectiveStacks0
stackExamples(empty)
adverbCount26
adverbRatio0.02869757174392936
lyAdverbCount6
lyAdverbRatio0.006622516556291391
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences115
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences115
mean11.57
std8.31
cv0.718
sampleLengths
030
129
227
316
45
54
68
717
810
911
104
112
127
135
1411
156
1610
1715
1817
193
2016
215
222
2317
245
255
2613
2711
281
2912
307
315
3214
3311
3412
3525
366
375
3823
395
406
417
4221
4316
447
451
462
472
4814
491
73.91% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.46956521739130436
totalSentences115
uniqueOpeners54
46.30% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences72
matches
0"Then she looked at the"
ratio0.014
81.11% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount25
totalSentences72
matches
0"His tie was still knotted."
1"His shoes were polished."
2"His face was a mask"
3"He was young, eager, and"
4"She'd stopped arguing by the"
5"She noted the absence of"
6"He held up an evidence"
7"She tilted it toward the"
8"It was pointing down the"
9"They were precise, deliberate, carved"
10"She thought about the victim's"
11"She knew that tone—the careful,"
12"She was Quinn's opposite in"
13"They'd worked together for six"
14"She stopped at the far"
15"His suit was pristine except"
16"She leaned closer."
17"She went back to the"
18"She pulled a penlight from"
19"It looked like the residue"
ratio0.347
29.44% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount62
totalSentences72
matches
0"The air in the abandoned"
1"Detective Harlow Quinn stepped off"
2"A body lay sprawled across"
3"The victim was male, mid-thirties,"
4"His tie was still knotted."
5"His shoes were polished."
6"His face was a mask"
7"PC Devlin hovered near the"
8"He was young, eager, and"
9"Quinn had asked for a"
10"She'd stopped arguing by the"
11"Devlin said, consulting his notes"
12"Quinn crouched beside the body,"
13"She noted the absence of"
14"The man's hands rested neatly"
15"Quinn studied the victim's face."
16"The surprise there bothered her."
17"Whatever had happened, he'd seen"
18"Devlin flicked through his notes."
19"He held up an evidence"
ratio0.861
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences72
matches(empty)
ratio0
61.69% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences44
technicalSentenceCount5
matches
0"A body lay sprawled across the old platform, half-hidden behind a collapsed advertising hoarding for a brand of cigarettes that had stopped being manufactured i…"
1"The victim was male, mid-thirties, dressed in a suit that cost more than Quinn's monthly rent."
2"PC Devlin hovered near the tape, clipboard in hand, looking like a man who'd swallowed something disagreeable."
3"The verdigris patina was old, deliberate—not the kind of tarnish that comes from neglect, but the kind that comes from being handled, treasured, kept close."
4"Chen stepped past the tape and walked the perimeter, her eyes scanning the platform with the practiced efficiency of someone who'd seen too many bodies to count…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags11
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags10
fancyCount0
fancyTags(empty)
dialogueSentences40
tagDensity0.25
leniency0.5
rawRatio0
effectiveRatio0
78.4369%