Run: 2026-09-25-01M3CKDHD4QR4YTQBXR088T801

Run Details

Duration:
14.1s
Cost:
$0.012809
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="4417" name="Tomás Herrera" aliases="Tommy, Tomás, Herrera" pronouns="he/him" species="Human" storyRole="Support"> <eyeColor>warm brown</eyeColor> <hair>short curly dark brown</hair> <height>5'10"</height> <age>29</age> <skinTone>olive skin</skinTone> <scar>scar running along his left forearm from a knife attack</scar> <medallion>Saint Christopher medallion around his neck</medallion> <birthplace>Seville, Spain</birthplace> <description>A former paramedic who provides off-the-books medical care for the clique.</description> <backstory>Born in Seville, Spain. He moved to London to work for the NHS but lost his license after administering unauthorized treatments to supernatural patients.</backstory> </character> <location id="854" name="The Raven's Nest" aliases="the Nest, Raven, Silas' bar" realm="Earth"> <signColor>distinctive green neon sign above the entrance</signColor> <secretRoom>hidden back room accessible through a bookshelf, used for clandestine meetings</secretRoom> <description>A dimly lit bar in Soho, London. The walls are covered with old maps and black-and-white photographs.</description> </location> <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> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the thriller genre. A detective is pursuing a suspect through rain-soaked city streets at night. The chase takes them from the street level down into an underground market. The detective must decide whether to follow the suspect into unfamiliar and potentially dangerous territory. 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 rain fell in sheets, turning the Soho streets into a slick, shimmering maze. Detective Harlow Quinn’s boots splashed through puddles, her breath steady despite the cold bite of the night air. She kept her eyes locked on the figure darting between the neon glow of shop signs and the shadows of alleyways. The suspect—a lanky man in a dark hoodie—moved with the desperation of someone who knew the stakes. She rounded a corner, her sharp jaw set. The green neon of The Raven’s Nest flickered above her, casting an eerie glow on the wet pavement. The suspect had vanished, but the bar’s door swung slightly, as if someone had just slipped inside. Quinn didn’t hesitate. She pushed through, the warmth of the bar’s interior a stark contrast to the storm outside. The Nest was nearly empty at this hour, the usual hum of conversation replaced by the low murmur of the bartender polishing glasses. The walls, lined with old maps and black-and-white photographs, seemed to watch her as she scanned the room. No sign of the hooded figure. “See anyone come in just now?” Quinn’s voice was sharp, her military precision evident in the way she kept her posture rigid, her left wrist twitching near the worn leather watch. The bartender, a broad-shouldered man with a scar running down his cheek, barely glanced up. “No one’s come in but you, love.” She didn’t buy it. Her gaze flicked to the back of the room, where a bookshelf stood slightly ajar. A hidden door. The Raven’s Nest had secrets, and she’d heard whispers of its backroom deals before. Without another word, she strode toward it, her hand brushing the holster at her hip. The bookshelf creaked as she pushed it open, revealing a narrow passage. The air beyond was damp, thick with the scent of earth and something older, something that didn’t belong in London’s underbelly. The passage sloped downward, the walls lined with flickering lanterns that cast long, dancing shadows. The suspect’s footsteps echoed ahead, urgent and uneven. Quinn followed, her own steps silent despite the uneven stone. The tunnel twisted, the air growing colder, the walls slick with moisture. Then, abruptly, the passage opened into a vast, cavernous space. The Veil Market sprawled before her, a labyrinth of stalls beneath the arched ceiling of an abandoned Tube station. The hum of voices, the clink of coins, the scent of spices and something metallic—blood?—filled the air. Lanterns hung from chains, their light reflecting off the damp stone and the glint of strange, otherworldly wares. Quinn’s pulse quickened. She’d heard of the Veil Market, of course. A black market for the supernatural, moving with the full moon, accessible only to those who knew the way—and had the right token. She didn’t have a bone token, but she had her badge and her instincts. The suspect was nowhere in sight. The crowd was a sea of faces—some human, some not. A woman with eyes like polished silver watched her from a stall selling vials of swirling, iridescent liquid. A man with too many fingers counted coins into a leather pouch. Quinn’s hand tightened around her weapon. She moved deeper into the market, her gaze sweeping left and right. The stalls were a menagerie of the bizarre: jars of preserved things that shouldn’t exist, weapons that hummed with energy, books bound in what looked like human skin. Her stomach twisted, but she didn’t slow down. Then she saw him. The hooded figure stood at a stall near the far wall, his back to her, speaking in hushed tones to a vendor whose face was obscured by a wide-brimmed hat. Quinn’s fingers twitched. She could close the distance, but the market was a maze of bodies and shadows. If she lost him here, she might never find him again. She took a step forward, her boot scuffing against the stone. A head turned. A man with olive skin and short, curly dark brown hair—Tomás Herrera—locked eyes with her. His Saint Christopher medallion glinted in the lantern light as he straightened from where he’d been examining a tray of small, carved bones. Recognition flickered in his warm brown eyes, but it wasn’t surprise. It was warning. “Detective,” he said, his voice low. “You shouldn’t be here.” Quinn didn’t break stride. “Herrera. Didn’t expect to see you slumming it in the supernatural underground.” Tomás’s scarred forearm flexed as he shifted his weight. “This isn’t your world, Quinn. And that man you’re chasing? He’s not just a suspect. Not here.” She glanced back toward the hooded figure, but he was already melting into the crowd, heading toward a dark archway at the far end of the market. Her jaw tightened. “He’s my lead. And I don’t care if this place is full of fairies and werewolves. He’s still just a man.” Tomás exhaled sharply. “You’re wrong. And if you follow him through that arch, you won’t come back.” Quinn’s gaze flicked to the archway. The air around it shimmered, like heat rising off pavement, but colder. Unnatural. “Then tell me what he is.” “Someone who knows how to disappear.” Tomás stepped closer, his voice dropping. “That arch doesn’t just lead to another part of the market. It leads *out*—somewhere else. Somewhere not on any map.” She studied the arch again. The suspect was almost there, his hooded head ducked low. Her fingers curled into fists. Every instinct screamed at her to pursue, to finish what she’d started. But the weight of Tomás’s words settled in her chest. “You’re telling me to let him go.” “I’m telling you to think.” His eyes were steady, unblinking. “You lost Morris chasing things you didn’t understand. Do you want to lose yourself too?” The name hit like a punch. Morris. Her partner. The case that had unravelled into something she still couldn’t explain, no matter how many times she’d pored over the files. The supernatural wasn’t just a rumour. It was real. And it had taken him from her. The suspect reached the arch. For a heartbeat, he paused, as if sensing her hesitation. Then he stepped through—and was gone. Quinn’s breath came sharp. The market’s noise seemed to fade, the lanterns dimming as if the very air held its breath. Tomás’s voice was quiet. “Some doors only open one way, Detective.” She stared at the archway, the shimmering edge of it pulsing faintly, like a heartbeat. Her watch ticked against her wrist, a steady reminder of the world she knew—the world of facts, of evidence, of justice. But that world had failed her before. The choice coiled in her gut, tight and unyielding. Follow. Or walk away.
created_at"2026-09-25T15:37:20.557Z" 9/25/2026, 3:37:20 PM
model"mistralai/mistral-medium-3.5-20260430"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency489
moderation_latency(null)
generation_time14020
tokens_prompt1104
tokens_completion1707
native_tokens_prompt1039
native_tokens_completion1500
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"
usage0.0128085
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1790350640-l9dY3fCsi4urXcHcBUPW"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790350640-QEDKfhhJEb9VaCYqFJrO"
upstream_id"db589d42d02646a899041f4c32b461c6"
provider_responses
0
endpoint_id"d21d316f-d540-4718-b36e-3beff85d0cf9"
id"db589d42d02646a899041f4c32b461c6"
is_byokfalse
latency489
model_permaslug"mistralai/mistral-medium-3.5-20260430"
provider_name"Mistral"
status200
total_cost0.0128085
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
82.11% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1118
totalAiIsmAdverbs4
found
0
adverb"slightly"
count2
1
adverb"sharply"
count1
2
adverb"very"
count1
highlights
0"slightly"
1"sharply"
2"very"
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)
15.03% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1118
totalAiIsms19
found
0
word"flickered"
count2
1
word"warmth"
count1
2
word"stark"
count1
3
word"scanned"
count1
4
word"flicked"
count2
5
word"dancing"
count1
6
word"footsteps"
count1
7
word"echoed"
count1
8
word"glint"
count1
9
word"otherworldly"
count1
10
word"pulse"
count1
11
word"quickened"
count1
12
word"stomach"
count1
13
word"weight"
count2
14
word"shimmered"
count1
15
word"reminder"
count1
highlights
0"flickered"
1"warmth"
2"stark"
3"scanned"
4"flicked"
5"dancing"
6"footsteps"
7"echoed"
8"glint"
9"otherworldly"
10"pulse"
11"quickened"
12"stomach"
13"weight"
14"shimmered"
15"reminder"
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
narrationSentences87
matches(empty)
77.18% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount2
narrationSentences87
filterMatches
0"watch"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences98
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen31
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords1
totalWords1108
ratio0.001
matches
0"out"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions6
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions32
wordCount960
uniqueNames13
maxNameDensity1.04
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Tomás"
discoveredNames
Soho1
Harlow1
Quinn10
Raven2
Nest3
London1
Veil2
Market2
Tube1
Tomás6
Herrera1
Saint1
Christopher1
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Nest"
4"Tomás"
5"Herrera"
6"Saint"
7"Christopher"
places
0"Soho"
1"London"
globalScore0.979
windowScore0.833
70.63% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences63
glossingSentenceCount2
matches
0"looked like human skin"
1"as if sensing her hesitation"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1108
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences98
matches(empty)
98.24% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs30
mean36.93
std18.24
cv0.494
sampleLengths
070
162
247
331
422
536
648
745
864
948
1052
1148
1263
1366
1410
1516
1626
1751
1817
1925
2032
2142
227
2325
2446
2521
2621
2711
2843
2913
97.20% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences87
matches
0"was obscured"
1"was gone"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs157
matches
0"was warning"
1"was already melting"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount10
semicolonCount0
flaggedSentences7
totalSentences98
ratio0.071
matches
0"The suspect—a lanky man in a dark hoodie—moved with the desperation of someone who knew the stakes."
1"The hum of voices, the clink of coins, the scent of spices and something metallic—blood?—filled the air."
2"A black market for the supernatural, moving with the full moon, accessible only to those who knew the way—and had the right token."
3"The crowd was a sea of faces—some human, some not."
4"A man with olive skin and short, curly dark brown hair—Tomás Herrera—locked eyes with her."
5"Then he stepped through—and was gone."
6"Her watch ticked against her wrist, a steady reminder of the world she knew—the world of facts, of evidence, of justice."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount974
adjectiveStacks0
stackExamples(empty)
adverbCount31
adverbRatio0.03182751540041068
lyAdverbCount11
lyAdverbRatio0.011293634496919919
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences98
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences98
mean11.31
std6.98
cv0.617
sampleLengths
014
118
221
317
48
518
617
73
816
923
1018
116
1231
1315
147
154
1615
173
1814
1915
2012
2121
2215
238
2410
2512
2610
2719
2817
2918
303
318
3223
3314
346
3510
3618
3712
386
3912
4028
418
424
4330
443
4515
4611
4711
483
4915
44.22% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats10
diversityRatio0.32653061224489793
totalSentences98
uniqueOpeners32
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences83
matches
0"Then, abruptly, the passage opened"
1"Then she saw him."
2"Then he stepped through—and was"
ratio0.036
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount22
totalSentences83
matches
0"She kept her eyes locked"
1"She rounded a corner, her"
2"She pushed through, the warmth"
3"She didn’t buy it."
4"Her gaze flicked to the"
5"She’d heard of the Veil"
6"She didn’t have a bone"
7"She moved deeper into the"
8"Her stomach twisted, but she"
9"She could close the distance,"
10"She took a step forward,"
11"His Saint Christopher medallion glinted"
12"It was warning."
13"he said, his voice low"
14"She glanced back toward the"
15"Her jaw tightened."
16"She studied the arch again."
17"Her fingers curled into fists."
18"His eyes were steady, unblinking"
19"It was real."
ratio0.265
26.27% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount72
totalSentences83
matches
0"The rain fell in sheets,"
1"Detective Harlow Quinn’s boots splashed"
2"She kept her eyes locked"
3"The suspect—a lanky man in"
4"She rounded a corner, her"
5"The green neon of The"
6"The suspect had vanished, but"
7"Quinn didn’t hesitate."
8"She pushed through, the warmth"
9"The Nest was nearly empty"
10"The walls, lined with old"
11"Quinn’s voice was sharp, her"
12"The bartender, a broad-shouldered man"
13"She didn’t buy it."
14"Her gaze flicked to the"
15"A hidden door."
16"The Raven’s Nest had secrets,"
17"The bookshelf creaked as she"
18"The air beyond was damp,"
19"The passage sloped downward, the"
ratio0.867
60.24% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences83
matches
0"If she lost him here,"
ratio0.012
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences46
technicalSentenceCount2
matches
0"The air beyond was damp, thick with the scent of earth and something older, something that didn’t belong in London’s underbelly."
1"The stalls were a menagerie of the bizarre: jars of preserved things that shouldn’t exist, weapons that hummed with energy, books bound in what looked like huma…"
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags3
uselessAdditionCount2
matches
0"he said, his voice low"
1"Tomás stepped, his voice dropping"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences15
tagDensity0.067
leniency0.133
rawRatio0
effectiveRatio0
81.8147%