Run: 2026-02-20-01KHXQDB7JN9WWNB32VN844RCD

Run Details

Duration:
29.6s
Cost:
$0.004555
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 came down like God had upended a bucket. It turned the neon glow of Soho into a smear of colours bleeding across wet pavement. Harlow Quinn didn’t slow her pace. Her boots splashed through puddles deep enough to soak her ankles, but she barely registered the cold seeping through her trousers. Three blocks back, the suspect—tall, lanky, moving like he’d been greased—had glanced over his shoulder. That was all she needed. The flicker of fear in his eyes, the way his breath hitched. He knew she was coming. He ducked left, into a narrow alley clogged with overflowing dumpsters and the stink of old fryer oil. Harlow followed, her fingers brushing the grip of her service weapon. Not yet. Too many variables in close quarters. A gunshot here would bring questions, and questions would bring delays. She wanted answers, not paperwork. The alley spat them out onto Wardour Street. The suspect didn’t hesitate. He vaulted over a low fence, his coat flaring like bat wings, and dropped into the black mouth of a service stairwell. Harlow cursed under her breath, her leather watch strap tight against her wrist as she grabbed the rusted metal railing. The descent was slick, her shoulders scraping concrete as she took the steps two at a time. At the bottom, a fire exit hung ajar, swaying on broken hinges. Beyond it, darkness. She paused. Listened. Drip. Drip. The steady plink of water hitting concrete. Then—footsteps. Not running anymore. Deliberate. He was waiting for her. Harlow exhaled through her nose. She’d faced worse than some two-bit runner in a back alley. But the hair on the back of her neck didn’t agree. It prickled, like static before a storm. She pushed through the door. The air changed instantly. Thicker. Warmer. The scent of damp earth and something metallic, like old coins or blood. Her torch flickered to life, carving a pale slash through the gloom. The beam caught brick walls slick with moisture, graffiti in languages she didn’t recognise. A tunnel. Not just any tunnel—this one sloped downward, the floor worn smooth by God knew how many boots. The suspect’s silhouette flickered at the edge of her light, just for a second, before vanishing around a bend. “Shit.” She moved forward, her free hand trailing the wall. The bricks were cold, almost clammy. Her torchlight jumped over something scrawled in chalk: a symbol, crude but intentional. Two curved lines intersecting, like a poorly drawn hourglass. Or an eye. Harlow’s thumb hovered over her radio. Backup was a button-press away. But backup meant explanations. And explanations meant someone higher up would shut this down before she got close to the truth. No. She was seeing this through. The tunnel opened into a cavern. Not a natural one—this had been dug, expanded, reinforced with rusted iron supports and wooden beams blackened by age. The air hummed, not with machinery, but with voices. A low, constant murmur, like a hive of bees. And light—flickering, uneven, casting long shadows that twisted on the walls. Lanterns. Dozens of them. Harlow killed her torch. She stepped forward, her shoulders brushing the damp stone. The market unfolded before her like a living thing. Stalls lined a central aisle, their wares displayed on rickety tables or hung from hooks. Jars of things that pulsed with dim, sickly light. Bundles of herbs that smelled like rot and lightning. A man with too many teeth grinned at her from behind a table of knives, their blades etched with sigils. He didn’t speak. Didn’t need to. His eyes said *you don’t belong here* loud enough. She ignored him. The suspect was gone. Swallowed by the crowd. Harlow’s jaw tightened. She wasn’t losing him now. Not when she was this close. A hand clamped onto her wrist. “Lost, *guapa*?” Tomás Herrera stepped out of the shadows like he’d been waiting for her. His Saint Christopher medallion glinted in the lantern light, the only thing about him that looked polished. The rest—curly hair damp with sweat, olive skin slick with it, the scar on his forearm white against the grimy sleeve of his rolled-up shirt—spoke of a man who’d been running longer than she had. Harlow twisted free. “Herrera. You’re a long way from your usual patch.” “And you’re a long way from *anywhere* you should be.” His gaze flicked over her shoulder, then back. “This isn’t a place for cops, Quinn. Not even decorated ones.” “Funny. I didn’t see a ‘no detectives’ sign.” She scanned the crowd. “Where’d he go?” Tomás exhaled, sharp. “You don’t know what you’re chasing.” “Enlighten me.” “Not here.” He grabbed her elbow, steered her toward a stall draped in heavy velvet. The woman behind it had eyes like polished obsidian and a smile that didn’t reach them. She was arranging a row of small, irregular bones on a tray. Each one had a hole drilled through the top. Tokens. Tomás leaned in, voice low. “That kid you’re after? He’s not the prize. He’s the bait.” Harlow’s fingers twitched. “For what?” “For *you*.” He jerked his chin toward the far end of the market, where the crowd thinned into a pool of darkness. “They’ve been watching you, Quinn. Since Morris.” The name hit like a gut punch. She didn’t let it show. “Who’s *they*?” “People who don’t like loose ends.” His fingers brushed the medallion at his throat. “You’ve been poking around the Nest, asking about Silas’ operation. That’s not just drugs and protection money anymore. You know it. I know it. And *they* sure as hell know it.” Harlow’s gaze locked onto the shadows Tomás had indicated. Something moved there. Not a person. Not *just* a person. The air rippled, like heat off asphalt, but cold. Wrong. “What the hell is this place?” “The Veil Market.” Tomás’ voice dropped. “Where the desperate come to buy what they shouldn’t.” A scream cut through the murmur. High, raw. Human. The crowd barely reacted. A few heads turned. Most didn’t. Harlow was already moving. She shoved through the press of bodies, her shoulder knocking into a man wrapped in a coat of stitched-together skins. He snarled, but she didn’t slow. The scream came again, closer this time. A woman, backed against a stall, her fingers clawing at the wood. Two figures loomed over her—tall, too tall, their limbs stretched like taffy. Their faces were all sharp angles, eyes black and gleaming. Not human. Not anymore. One of them turned. Saw Harlow. Its lips peeled back in a grin, rows of needle teeth glinting. “*Detective.*” The woman sobbed. “Please—” Harlow didn’t think. She drew her gun. The market erupted. Bodies scattered. Lanterns crashed to the ground, glass shattering, flames licking at the damp air. The things—*the things*—hissed, their forms twisting, elongating. Harlow fired. The shot echoed, deafening in the confined space. One of them jerked, but it didn’t go down. Just laughed, a wet, gurgling sound. Tomás grabbed her arm, yanked her back. “You can’t kill them with *that*.” “Then what the hell do I use?” She fired again. Missed. The crowd was a writhing mass, panic and something darker, something hungry. “Run,” Tomás said. She didn’t argue. They moved, shoulder to shoulder, toward the tunnel she’d come from. The air behind them roiled, the temperature dropping like a stone. Harlow risked a glance back. The things were coming. Not running. *Flowing*. Like smoke given form. Tomás shoved her ahead of him. “Go!” She didn’t need telling twice. The tunnel was a blessing and a curse—narrow enough to slow them down, but dark enough to hide in. Harlow’s lungs burned, her boots slipping on the slick stone. Behind her, Tomás’ breath came in ragged gasps. Ahead, the fire exit. Freedom. She burst through, the rain hitting her face like a slap. The alley was empty. No suspect. No backup. Just the storm and the stink of the city. Tomás staggered out after her, pressing his back to the wall. His hands shook as he lit a cigarette, the flare of the lighter illuminating the sweat on his face. “You’re lucky you’re still breathing.” Harlow holstered her gun. “Lucky’s got nothing to do with it.” He exhaled smoke, bitter. “They’ll come for you now. You know that, right?” She wiped rain from her eyes. “Let them.” Tomás studied her for a long moment. Then, quietly: “Morris didn’t have a choice. You do.” Harlow didn’t answer. She didn’t have to. Somewhere in the distance, a siren wailed. The sound was almost laughable. Too little. Too late. She turned her back on the alley, on the market, on the things that waited in the dark. But not for long. This wasn’t over. Not by a long shot.
created_at"2026-02-20T14:31:41.054Z" 2/20/2026, 2:31:41 PM
model"mistralai/mistral-medium-3.1" 3/1/2001, 12:00:00 AM
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency296
moderation_latency(null)
generation_time29456
tokens_prompt1140
tokens_completion2332
native_tokens_prompt1027
native_tokens_completion2072
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)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.0045548
router(null)
provider_responses
0
endpoint_id"13c5002b-8c5b-490c-8a5f-52ec0242804f"
id"902ec363e112432abea335ee2fadf10f"
is_byokfalse
latency296
model_permaslug"mistralai/mistral-medium-3.1" 3/1/2001, 12:00:00 AM
provider_name"Mistral"
status200
api_type"completions"
id"gen-1771597901-rBMf7HiR8P8HfUd4qos2"
upstream_id"902ec363e112432abea335ee2fadf10f"
total_cost0.0045548
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
totalTags7
adverbTagCount1
adverbTags
0"She fired again [again]"
dialogueSentences31
tagDensity0.226
leniency0.452
rawRatio0.143
effectiveRatio0.065
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1463
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)
48.74% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1463
totalAiIsms15
found
0
word"flicker"
count1
1
word"variables"
count1
2
word"footsteps"
count1
3
word"flickered"
count2
4
word"gloom"
count1
5
word"pulsed"
count1
6
word"etched"
count1
7
word"flicked"
count1
8
word"scanned"
count1
9
word"velvet"
count1
10
word"loomed"
count1
11
word"gleaming"
count1
12
word"glinting"
count1
13
word"echoed"
count1
highlights
0"flicker"
1"variables"
2"footsteps"
3"flickered"
4"gloom"
5"pulsed"
6"etched"
7"flicked"
8"scanned"
9"velvet"
10"loomed"
11"gleaming"
12"glinting"
13"echoed"
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
emotionTells1
narrationSentences174
matches
0"The flicker of fear"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences174
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences197
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen38
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans11
markdownWords15
totalWords1449
ratio0.01
matches
0"you don’t belong here"
1"guapa"
2"anywhere"
3"you"
4"they"
5"they"
6"just"
7"Detective."
8"the things"
9"that"
10"Flowing"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions9
unquotedAttributions0
matches(empty)
78.57% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions38
wordCount1260
uniqueNames12
maxNameDensity1.43
worstName"Harlow"
maxWindowNameDensity2.5
worstWindowName"Tomás"
discoveredNames
God2
Soho1
Quinn1
Wardour1
Street1
Herrera1
Saint1
Christopher1
Tomás9
Harlow18
Missed1
Ahead1
persons
0"God"
1"Quinn"
2"Herrera"
3"Saint"
4"Christopher"
5"Tomás"
6"Harlow"
places
0"Soho"
1"Wardour"
2"Street"
globalScore0.786
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences85
glossingSentenceCount1
matches
0"smelled like rot and lightning"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.69
wordCount1449
matches
0"not with machinery, but with voices"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences197
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs58
mean24.98
std24.88
cv0.996
sampleLengths
090
153
286
33
419
539
683
71
872
96
1058
114
1286
133
1422
156
162
1765
1812
1929
2015
219
222
2353
2416
255
2629
2714
2845
2935
3015
3119
324
3371
346
3513
364
377
383
3947
4013
4123
423
433
4438
457
465
4742
4828
4935
99.21% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences174
matches
0"been greased"
1"been dug"
2"was gone"
25.33% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount6
totalVerbs229
matches
0"was coming"
1"was waiting"
2"was seeing"
3"wasn’t losing"
4"was arranging"
5"were coming"
12.33% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount12
semicolonCount0
flaggedSentences9
totalSentences197
ratio0.046
matches
0"Three blocks back, the suspect—tall, lanky, moving like he’d been greased—had glanced over his shoulder."
1"Then—footsteps."
2"Not just any tunnel—this one sloped downward, the floor worn smooth by God knew how many boots."
3"Not a natural one—this had been dug, expanded, reinforced with rusted iron supports and wooden beams blackened by age."
4"And light—flickering, uneven, casting long shadows that twisted on the walls."
5"The rest—curly hair damp with sweat, olive skin slick with it, the scar on his forearm white against the grimy sleeve of his rolled-up shirt—spoke of a man who’d been running longer than she had."
6"Two figures loomed over her—tall, too tall, their limbs stretched like taffy."
7"The things—*the things*—hissed, their forms twisting, elongating."
8"The tunnel was a blessing and a curse—narrow enough to slow them down, but dark enough to hide in."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount888
adjectiveStacks1
stackExamples
0"suspect—tall, lanky, moving like"
adverbCount27
adverbRatio0.030405405405405407
lyAdverbCount6
lyAdverbRatio0.006756756756756757
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences197
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences197
mean7.36
std5.84
cv0.794
sampleLengths
010
116
26
321
415
55
612
75
818
911
102
116
1211
135
148
154
1622
1720
1817
1912
203
212
221
231
241
257
261
273
281
295
305
3111
3211
337
345
354
361
371
3813
3912
4014
412
4217
4319
441
459
466
4713
489
493
57.70% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.37055837563451777
totalSentences197
uniqueOpeners73
94.56% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount4
totalSentences141
matches
0"Too many variables in close"
1"Just laughed, a wet, gurgling"
2"Just the storm and the"
3"Somewhere in the distance, a"
ratio0.028
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount42
totalSentences141
matches
0"It turned the neon glow"
1"Her boots splashed through puddles"
2"He knew she was coming."
3"He ducked left, into a"
4"She wanted answers, not paperwork."
5"He vaulted over a low"
6"He was waiting for her."
7"She’d faced worse than some"
8"It prickled, like static before"
9"She pushed through the door."
10"Her torch flickered to life,"
11"She moved forward, her free"
12"Her torchlight jumped over something"
13"She was seeing this through."
14"She stepped forward, her shoulders"
15"He didn’t speak."
16"His eyes said *you don’t"
17"She ignored him."
18"She wasn’t losing him now."
19"His Saint Christopher medallion glinted"
ratio0.298
66.38% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount111
totalSentences141
matches
0"The rain came down like"
1"It turned the neon glow"
2"Harlow Quinn didn’t slow her"
3"Her boots splashed through puddles"
4"That was all she needed."
5"The flicker of fear in"
6"He knew she was coming."
7"He ducked left, into a"
8"Harlow followed, her fingers brushing"
9"A gunshot here would bring"
10"She wanted answers, not paperwork."
11"The alley spat them out"
12"The suspect didn’t hesitate."
13"He vaulted over a low"
14"Harlow cursed under her breath,"
15"The descent was slick, her"
16"The steady plink of water"
17"He was waiting for her."
18"Harlow exhaled through her nose."
19"She’d faced worse than some"
ratio0.787
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences141
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences45
technicalSentenceCount2
matches
0"His Saint Christopher medallion glinted in the lantern light, the only thing about him that looked polished."
1"The rest—curly hair damp with sweat, olive skin slick with it, the scar on his forearm white against the grimy sleeve of his rolled-up shirt—spoke of a man who’…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags7
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences31
tagDensity0.032
leniency0.065
rawRatio0
effectiveRatio0
85.8940%