Run: 2026-02-20-01KHXQ0HB0N6BAP8JF4FWQKJ2Y

Run Details

Duration:
22.7s
Cost:
$0.000396
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 hammered down on the cobblestones, turning the streets of Soho into a labyrinth of glistening reflections. Detective Harlow Quinn's breath came in sharp, controlled bursts as she pursued her quarry through the maze of alleys. Her leather watch, a relic from her father, glinted under the dim streetlights, its hands spinning like a metronome counting down to the end of the chase. The suspect, a shadowy figure with a bone token clutched in their hand, darted ahead, their coat flapping like a tattered flag in the wind. Quinn's sharp jaw was set, her eyes narrowed against the rain. She could feel the weight of her service weapon at her side, the familiar comfort of its presence a stark contrast to the uncertainty of the chase. The suspect had led her away from the familiar streets, down into the underbelly of the city, where the neon lights of the Raven's Nest flickered like a dying star. The Raven's Nest loomed ahead, its distinctive green neon sign casting an eerie glow over the entrance. Quinn hesitated for a moment, her military precision kicking in. She knew the bar well, its hidden back room a known meeting place for those who operated on the fringes of the law. But the suspect didn't slow down, didn't look back. They pushed open the door and vanished inside. Quinn followed, her boots splashing through puddles, her heart pounding in her chest. The bar was dimly lit, the air thick with the scent of stale beer and old wood. The walls were covered with maps and photographs, a testament to the city's history and its secrets. She scanned the room, her eyes landing on the bookshelf at the back. A figure slipped behind it, the bookshelf swinging shut behind them. Quinn's mind raced. She knew the stories, the whispers of a hidden market beneath the city, a place where the supernatural and the criminal intersected. The Veil Market. A place she had never ventured, a place that existed in the shadows of her investigations. She could feel the pull of duty, the weight of her badge. But she also felt the cold prickle of fear. This was not her world, not her territory. She approached the bookshelf, her hand hovering over the spine of an old atlas. She could turn back, call for backup, wait for reinforcements. But the suspect was slipping away, vanishing into the unknown. She thought of her partner, DS Morris, lost to the shadows of a case gone wrong. She couldn't let history repeat itself. With a deep breath, she pushed against the bookshelf. It swung open silently, revealing a narrow staircase descending into darkness. The air was cool and damp, the scent of earth and old stone filling her nostrils. She pulled out her torch, the beam cutting through the darkness like a knife. The stairs seemed to go on forever, a descent into the unknown. At the bottom, she found herself in a tunnel, the walls lined with ancient bricks. The sound of the rain above was muffled, replaced by the distant hum of voices. She followed the tunnel, her torch beam dancing over the walls, revealing glimpses of graffiti and symbols she didn't recognize. The air grew colder, the hum of voices louder. She emerged into a vast cavern, the ceiling lost in the darkness above. The Veil Market sprawled before her, a bazaar of stalls and tents, each one a beacon of light and activity. The scent of incense and spices filled the air, mingling with the hum of voices speaking in languages she didn't understand. She could see figures moving through the crowd, their faces obscured by hoods and masks. Quinn's heart pounded in her chest. This was not the London she knew. This was a world of shadows and secrets, a place where the rules were different. She could feel the weight of her badge, the responsibility of her duty. But she also felt the cold prickle of fear, the uncertainty of the unknown. She spotted the suspect ahead, their figure weaving through the crowd. She hesitated, her mind racing. She could follow, could plunge into the unknown. But she also knew the risks, the dangers of a world she didn't understand. She thought of her partner, of the case that had gone wrong. She thought of the suspect, of the answers they might hold. With a deep breath, she stepped forward, her torch beam cutting through the darkness. She was a detective, a seeker of truth. She would follow the suspect, would plunge into the unknown. She would find the answers, would bring the truth to light. She would not let the shadows win.
created_at"2026-02-20T14:24:41.322Z" 2/20/2026, 2:24:41 PM
model"mistralai/mistral-small-3.2-24b-instruct-2506"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency315
moderation_latency(null)
generation_time22564
tokens_prompt1140
tokens_completion1131
native_tokens_prompt1027
native_tokens_completion976
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached256
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.0003955
router(null)
provider_responses
0
endpoint_id"23fd6b91-74d8-45fc-ac00-cf141ec7f4a5"
id"36c99279ae1b4829af07677f1369148f"
is_byokfalse
latency314
model_permaslug"mistralai/mistral-small-3.2-24b-instruct-2506"
provider_name"Mistral"
status200
api_type"completions"
id"gen-1771597481-OWnBjz01E9v6eCXMKiov"
upstream_id"36c99279ae1b4829af07677f1369148f"
total_cost0.0003955
cache_discount(null)
upstream_inference_cost0
provider_name"Mistral"

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)
wordCount780
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)
0.00% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount780
totalAiIsms19
found
0
word"glistening"
count1
1
word"could feel"
count3
2
word"weight"
count3
3
word"familiar"
count2
4
word"stark"
count1
5
word"flickered"
count1
6
word"loomed"
count1
7
word"pounding"
count1
8
word"testament"
count1
9
word"scanned"
count1
10
word"raced"
count1
11
word"dancing"
count1
12
word"beacon"
count1
13
word"racing"
count1
highlights
0"glistening"
1"could feel"
2"weight"
3"familiar"
4"stark"
5"flickered"
6"loomed"
7"pounding"
8"testament"
9"scanned"
10"raced"
11"dancing"
12"beacon"
13"racing"
66.67% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches2
maxInWindow2
found
0
label"heart pounded in chest"
count1
1
label"eyes widened/narrowed"
count1
highlights
0"heart pounded in her chest"
1"eyes narrowed"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences58
matches(empty)
93.60% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences58
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)
analyzedSentences58
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen30
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords780
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions18
wordCount780
uniqueNames9
maxNameDensity0.77
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Soho1
Harlow1
Quinn6
Raven2
Nest2
Veil2
Market2
Morris1
London1
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Nest"
4"Market"
5"Morris"
places
0"Soho"
1"London"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences55
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount780
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences58
matches(empty)
0.58% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs12
mean65
std9.88
cv0.152
sampleLengths
089
168
267
371
473
556
662
759
869
955
1061
1150
99.21% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences58
matches
0"was muffled"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs115
matches
0"was slipping"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences58
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount780
adjectiveStacks0
stackExamples(empty)
adverbCount15
adverbRatio0.019230769230769232
lyAdverbCount3
lyAdverbRatio0.0038461538461538464
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences58
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences58
mean13.45
std5.83
cv0.434
sampleLengths
018
119
227
325
411
527
630
717
810
923
109
118
1213
1317
1417
1513
1611
173
1822
193
2016
2112
229
238
2414
2510
2610
2716
286
299
3011
3116
3214
3312
3415
3515
3620
379
3813
3920
4021
4115
426
437
4415
4513
4614
4711
485
498
29.31% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats12
diversityRatio0.20689655172413793
totalSentences58
uniqueOpeners12
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences58
matches(empty)
ratio0
40.69% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount26
totalSentences58
matches
0"Her leather watch, a relic"
1"She could feel the weight"
2"She knew the bar well,"
3"They pushed open the door"
4"She scanned the room, her"
5"She knew the stories, the"
6"She could feel the pull"
7"She approached the bookshelf, her"
8"She could turn back, call"
9"She thought of her partner,"
10"She couldn't let history repeat"
11"It swung open silently, revealing"
12"She pulled out her torch,"
13"She followed the tunnel, her"
14"She emerged into a vast"
15"She could see figures moving"
16"She could feel the weight"
17"She spotted the suspect ahead,"
18"She hesitated, her mind racing."
19"She could follow, could plunge"
ratio0.448
28.97% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount50
totalSentences58
matches
0"The rain hammered down on"
1"Detective Harlow Quinn's breath came"
2"Her leather watch, a relic"
3"The suspect, a shadowy figure"
4"Quinn's sharp jaw was set,"
5"She could feel the weight"
6"The suspect had led her"
7"The Raven's Nest loomed ahead,"
8"Quinn hesitated for a moment,"
9"She knew the bar well,"
10"They pushed open the door"
11"Quinn followed, her boots splashing"
12"The bar was dimly lit,"
13"The walls were covered with"
14"She scanned the room, her"
15"A figure slipped behind it,"
16"Quinn's mind raced."
17"She knew the stories, the"
18"The Veil Market."
19"A place she had never"
ratio0.862
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences58
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences43
technicalSentenceCount2
matches
0"Her leather watch, a relic from her father, glinted under the dim streetlights, its hands spinning like a metronome counting down to the end of the chase."
1"Quinn followed, her boots splashing through puddles, her heart pounding in her chest."
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
78.6342%