Run: 2026-10-07-01M4AT0C993PQENFPXGP09N9TF

Run Details

Duration:
9.2s
Cost:
$0.009306
Provider:
Mistral

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 abandoned Tube station beneath Camden reeked of damp and rust. Detective Harlow Quinn stepped over a rotted timber beam, her boots crunching on decades of accumulated grime. The air hung thick, the kind that stuck to the back of the throat. She adjusted the worn leather watch on her wrist, the familiar weight a small comfort in the oppressive dark. Ahead, the flicker of torchlight carved jagged shadows across the curved walls. PC Harris stood by a cordon of police tape, his face pale under the sickly glow of the forensic lamps. He nodded as she approached, but his eyes kept darting to the body. "Detective Quinn. It's... not pretty." She didn’t answer. Nothing about this scene was pretty. The victim—a man in a long, tattered coat—lay sprawled across the tracks, his limbs twisted at unnatural angles. But it wasn’t the broken bones that made her pause. It was the lack of blood. No spatter, no pooling. Just a dry, ashen grey creeping across his skin, like the life had been sucked clean out of him. Harlow crouched, her sharp jaw tightening. The man’s fingers were curled into claws, his nails blackened. She reached for his wrist, then stopped. The skin was cold, but not the cold of death. It was the cold of something else. Something that made the hairs on her arms stand on end. "Coroner says it’s unnatural," Harris muttered. "No cause of death. No wounds. Just... this." She stood, scanning the platform. The station had been abandoned for years, but the walls were fresh with symbols—carved into the brick, daubed in something dark and sticky. Not paint. Not blood, either. It smelled metallic, but wrong. Like copper left too long in the rain. "These weren’t here yesterday," Harris said, following her gaze. "I patrol this stretch. Would’ve noticed." Harlow moved to the edge of the platform, peering into the black mouth of the tunnel. The torchlight barely touched the rails, but something glinted further in. She squinted. A small, brass object lay half-buried in the grime. She pulled a pair of gloves from her pocket and snapped them on before retrieving it. The compass was no bigger than her palm, its casing etched with intricate sigils, the metal worn to a dull patina of verdigris. The needle didn’t point north. It twitched, restless, then settled on the body. Harris leaned in. "What’s that?" Harlow didn’t answer. She knew what it was. Or at least, she knew it wasn’t standard issue. A noise echoed from the tunnel—a scuffle, a whisper. She turned, her hand instinctively going to her sidearm. The shadows shifted. For a second, she could’ve sworn she saw movement. Then nothing. Harris swallowed. "You hear that?" She didn’t. But she felt it. The prickle at the base of her skull, the same one she’d felt three years ago when Morris had vanished into thin air. The same one that had haunted her ever since. "PC Harris," she said, her voice steady despite the unease coiling in her gut. "You said the body was found at 0300?" "Yeah. Night shift called it in. Said the bloke just... appeared. Like he’d been dropped here." Harlow turned the compass over in her fingers. The needle spun wildly before locking onto the tunnel again. She followed its pull, stepping carefully over the tracks. The further she went, the colder the air became. The torchlight flickered, as if something were draining the batteries. Then she saw it. A token, half-hidden beneath a rusted rail. Bone. Carved with the same symbols as the walls. Her stomach twisted. She’d seen one of these before. In Morris’s notes. The last case he’d been working. "Detective?" She didn’t turn. The compass needle was spinning now, erratic. The bone token pulsed faintly in her palm, warm to the touch. This wasn’t a crime scene. It was a gateway. And whatever had come through had left that man husked out like a discarded shell. Harris cleared his throat. "You think this is... connected? To what happened before?" Harlow pocketed the token and the compass. "Get me everything on this station. Ownership, maintenance logs, any reports of trespassing in the last six months." Harris hesitated. "You’re not gonna tell me what you’re thinking, are you?" She met his gaze. "Not yet." Because if she was right, this wasn’t just a murder. It was a message. And the Veil Market wasn’t just a myth. It was here. Under their feet.
created_at"2026-10-07T09:09:42.325Z" 10/7/2026, 9:09:42 AM
model"mistralai/mistral-medium-3.5-20260430"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency387
moderation_latency(null)
generation_time9124
tokens_prompt1112
tokens_completion1122
native_tokens_prompt1074
native_tokens_completion1026
native_tokens_completion_images(null)
native_tokens_reasoning0
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"default"
usage0.009306
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791364182-4nHFjAIItZHyGb68iD1H"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791364182-KX7a5IJJiFsm4HxPsmzS"
upstream_id"d14df38f002e4a8ea8a9d8f0aa299023"
provider_responses
0
endpoint_id"d21d316f-d540-4718-b36e-3beff85d0cf9"
id"d14df38f002e4a8ea8a9d8f0aa299023"
is_byokfalse
latency386
model_permaslug"mistralai/mistral-medium-3.5-20260430"
provider_name"Mistral"
status200
total_cost0.009306
cache_discount(null)
upstream_inference_cost0
provider_name"Mistral"
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
totalTags3
adverbTagCount0
adverbTags(empty)
dialogueSentences15
tagDensity0.2
leniency0.4
rawRatio0
effectiveRatio0
93.31% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount747
totalAiIsmAdverbs1
found
0
adverb"carefully"
count1
highlights
0"carefully"
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)
12.99% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount747
totalAiIsms13
found
0
word"familiar"
count1
1
word"weight"
count1
2
word"oppressive"
count1
3
word"flicker"
count1
4
word"scanning"
count1
5
word"etched"
count1
6
word"intricate"
count1
7
word"standard"
count1
8
word"echoed"
count1
9
word"whisper"
count1
10
word"flickered"
count1
11
word"stomach"
count1
12
word"pulsed"
count1
highlights
0"familiar"
1"weight"
2"oppressive"
3"flicker"
4"scanning"
5"etched"
6"intricate"
7"standard"
8"echoed"
9"whisper"
10"flickered"
11"stomach"
12"pulsed"
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
narrationSentences79
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences79
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences91
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen24
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords743
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions9
unquotedAttributions0
matches(empty)
95.74% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions20
wordCount645
uniqueNames8
maxNameDensity1.09
worstName"Harris"
maxWindowNameDensity2
worstWindowName"Harris"
discoveredNames
Tube1
Camden1
Harlow6
Quinn1
Harris7
Morris2
Veil1
Market1
persons
0"Camden"
1"Harlow"
2"Quinn"
3"Harris"
4"Morris"
places(empty)
globalScore0.957
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences48
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount743
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences91
matches
0"left that man"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs30
mean24.77
std17.97
cv0.725
sampleLengths
061
145
25
366
451
514
646
715
838
952
105
1117
1232
135
1438
1522
1616
1746
1820
1918
201
2122
229
2315
2413
2525
2612
276
2822
296
91.94% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences79
matches
0"been sucked"
1"were curled"
2"been abandoned"
85.06% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs116
matches
0"were draining"
1"was spinning"
48.67% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount0
flaggedSentences3
totalSentences91
ratio0.033
matches
0"The victim—a man in a long, tattered coat—lay sprawled across the tracks, his limbs twisted at unnatural angles."
1"The station had been abandoned for years, but the walls were fresh with symbols—carved into the brick, daubed in something dark and sticky."
2"A noise echoed from the tunnel—a scuffle, a whisper."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount651
adjectiveStacks1
stackExamples
0"dry, ashen grey creeping"
adverbCount20
adverbRatio0.030721966205837174
lyAdverbCount6
lyAdverbRatio0.009216589861751152
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences91
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences91
mean8.16
std5.38
cv0.659
sampleLengths
011
117
214
319
412
520
613
75
83
96
1018
1110
126
134
1419
156
1610
177
1810
197
2011
216
228
235
2423
252
263
275
288
299
306
3116
3211
332
349
3516
3623
375
388
393
402
413
425
439
449
459
463
479
482
492
58.61% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.38461538461538464
totalSentences91
uniqueOpeners35
93.90% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences71
matches
0"Just a dry, ashen grey"
1"Then she saw it."
ratio0.028
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount21
totalSentences71
matches
0"She adjusted the worn leather"
1"He nodded as she approached,"
2"She didn’t answer."
3"It was the lack of"
4"She reached for his wrist,"
5"It was the cold of"
6"She stood, scanning the platform."
7"It smelled metallic, but wrong."
8"She pulled a pair of"
9"It twitched, restless, then settled"
10"She knew what it was."
11"She turned, her hand instinctively"
12"she said, her voice steady"
13"She followed its pull, stepping"
14"Her stomach twisted."
15"She’d seen one of these"
16"She didn’t turn."
17"It was a gateway."
18"She met his gaze."
19"It was a message."
ratio0.296
72.68% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount55
totalSentences71
matches
0"The abandoned Tube station beneath"
1"Detective Harlow Quinn stepped over"
2"The air hung thick, the"
3"She adjusted the worn leather"
4"PC Harris stood by a"
5"He nodded as she approached,"
6"She didn’t answer."
7"Nothing about this scene was"
8"The victim—a man in a"
9"It was the lack of"
10"Harlow crouched, her sharp jaw"
11"The man’s fingers were curled"
12"She reached for his wrist,"
13"The skin was cold, but"
14"It was the cold of"
15"Something that made the hairs"
16"She stood, scanning the platform."
17"The station had been abandoned"
18"It smelled metallic, but wrong."
19"Harris said, following her gaze"
ratio0.775
70.42% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences71
matches
0"Because if she was right,"
ratio0.014
87.91% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences26
technicalSentenceCount2
matches
0"Something that made the hairs on her arms stand on end."
1"The torchlight flickered, as if something were draining the batteries."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags3
uselessAdditionCount1
matches
0"she said, her voice steady despite the unease coiling in her gut"
83.33% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount1
fancyTags
0"Harris muttered (mutter)"
dialogueSentences15
tagDensity0.2
leniency0.4
rawRatio0.333
effectiveRatio0.133
86.2846%