Run: 2026-03-18-01KM0AA4P4R7QQKM5M9KFFS38J

Run Details

Duration:
12.4s
Cost:
$0.000890
Provider:
Mistral

Model input

System
You are an expert novelist with a gift for vivid, immersive prose. You write in tight third-person limited point of view with a strong narrative voice. Your prose is clean, precise, and engaging — you favor strong verbs, concrete details, and natural-sounding dialogue. You will be given a story bible (codex) containing canonical details about characters, locations, items, and lore. Use these details to ground your writing in the established world. Stay consistent with the codex. Write only the prose of the scene. Do not include titles, chapter headings, markdown formatting, or any commentary before or after the scene.
User/Human
<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> 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.

Model response

AI
The rain came down like a broken mainsail, sheeting off the slanted brim of Detective Harlow Quinn’s trench and hissing against the warm metal of her grandfather’s revolver holstered beneath. She didn’t slow; didn’t breathe heavy. Twelve years on the Met had taught her the value of silence between footsteps, the economy of a pursuit. Her watch glinted cold on her left wrist—5:47 a.m. according to the chemical dial, though the sky above London said otherwise. Gray, sodden, and empty of sunrise. Just like her partner’s voice over the radio that night three years ago: clear, unbroken, then gone. Herrera moved like a shadow with agreement. He didn’t run—he flowed, jacket collars lifted against the downpour, Saint Christopher medallion chinking softly against the scuffed leather of his shoulder bag. He didn’t look behind him. He didn’t need to. He knew she was there. The scar on his forearm had taught him the cost of being followed. The chase had begun at The Raven’s Nest when Harlow had walked in under the flickering green neon—*The Raven’s Nest: Open All Night*—and found only Tommy behind the bar, wiping down glassware with a rag that hadn’t seen soap in weeks. He’d looked up with that tired warmth, eyes warm brown and knowing, and said, “You’re not drinking,” like it was a statement of fact rather than a question. She’d slid a surveillance photo across the zinc. A blurry image of a man in a tailored coat—signet ring glinting—standing in a back room she’d never found. Tommy had paled. Not the reaction of a man without secrets, but of a man who recognized one being held too close to flame. Then the man had slipped out the back, through the service exit into the alley, and the chase was on. Now, they were deep in Soho, past tinny jazz clubs and shuttered kebab shops, the rain turning the pavement to oil-slick mirrors. Tommy darted left, through a gated arch into a courtyard choked with potted ferns and overflowing bins. Harlow followed, boots splashing in puddles the size of saucers. She kept her Sig Sauer low, fingers curled around the grip but not drawn. Firearms were last resort. Lasts weren’t something she gave. Tommy vaulted over a toppled bike rack, jacket flaring like a crow’s wing. Harlow went higher, clearing it with the kind of precision that had earned her commendations in uniform and a nickname—*Queen of the Jump*—from older officers who resented her being fast–tracked. She landed hard on the other side, knee jarring, but she was still moving. Then the street ended. Not just stopped. Fell away. A black iron trapdoor yawned in the pavement, rainwater pooling at its edges like blood in a coin slot. Tommy dropped through without hesitation. Harlow skidded to the edge. Through the rusted grate, she glimpsed a flicker of light—greenish, like stained sea glass—moving downward into darkness. Coins chinking. Muffled voices in a language she didn’t know. She didn’t know where this led. She didn’t know what waited below. And yet, every instinct screamed: *This is it. This is where the truth lives.* She checked her watch again. Five forty-eight. The Veil Market moved on the full moon, but legends said certain entrances were always open to those who *knew*. You didn’t need a bone token if you had a badge and a reason. Harlow exhaled through her nose, a silent command to her slowing pulse. She holstered the revolver. She took the metal rungs of the ladder, descending into damp and the smell of ozone and old incense. The air below was thick, warm, layered with smoke and something metallic—old blood? Fish? She couldn’t tell. The walls were curved, tiled in black and white like a chessboard laid on its side, shifting beneath her torchlight. Tommy was waiting halfway down, arms crossed, Saint Christopher glinting in the gloom. “You’re not supposed to be here,” he said. “Neither are you,” she replied. He almost smiled. Almost. But his eyes flickered toward the descending tunnel. “They’ll smell fear on you.” “I know.” “And you’re carrying metal.” She touched the revolver under her coat. “I know.” He stepped closer. Close enough that she could smell salt and lavender on him. “Detective Quinn, this isn’t a chase. This is a judgment.” That word—judgment—curdled in her chest. It was too close to Morris’s final words. Too close to the case file marked *D-locked: Unseen Witnesses Reported*. She ignored it. “Where is he?” she asked. Tommy hesitated. Then, without a word, he pointed down the tunnel. Harlow moved forward. The walls pulsed with bioluminescent veins—fungus? Paint? It didn’t matter. She stepped into the Market. And the ground vanished beneath her. Not literally. Not physically. But—* The air thickened. Her vision doubled. She saw Tommy, yes, clearly, but also another Tommy—pale, gaunt, eyes hollow, chain around his ankle. Not the scarred medic, but a memory. Or a ghost. And the tunnel stretched endlessly, candles floating midair, their flames green and still. A bone token sat in a metal tray on a pedestal. Bone and enamel. She didn’t understand the ritual. She didn’t need to. She took the token. The Market settled. The vision dissolved. Tommy stood there, blinking, as if shaken from a dream. “Dammit, Quinn. You just bought your way in.” She held up the token. Whiter than paper, more fragile than bone. “Where,” she said, “is my partner?”
created_at"2026-03-18T11:11:51.502Z" 3/18/2026, 11:11:51 AM
model"mistralai/mistral-small-2603" 1/1/2603, 12:00:00 AM
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency431
moderation_latency(null)
generation_time12291
tokens_prompt914
tokens_completion1458
native_tokens_prompt852
native_tokens_completion1270
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"
usage0.0008898
router(null)
provider_responses
0
endpoint_id"f5ed6283-4e17-457d-98cd-2ec0c318171d"
id"782fb48ae6e7467f91b4e3be936cd9e4"
is_byokfalse
latency430
model_permaslug"mistralai/mistral-small-2603" 1/1/2603, 12:00:00 AM
provider_name"Mistral"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1773832311-LFmp0keoqR4xbqDKbxwa"
upstream_id"782fb48ae6e7467f91b4e3be936cd9e4"
total_cost0.0008898
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
totalTags5
adverbTagCount0
adverbTags(empty)
dialogueSentences11
tagDensity0.455
leniency0.909
rawRatio0
effectiveRatio0
94.49% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount908
totalAiIsmAdverbs1
found
0
adverb"softly"
count1
highlights
0"softly"
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)
44.93% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount908
totalAiIsms10
found
0
word"silence"
count1
1
word"footsteps"
count1
2
word"warmth"
count1
3
word"glinting"
count2
4
word"flicker"
count1
5
word"pulse"
count1
6
word"gloom"
count1
7
word"flickered"
count1
8
word"pulsed"
count1
highlights
0"silence"
1"footsteps"
2"warmth"
3"glinting"
4"flicker"
5"pulse"
6"gloom"
7"flickered"
8"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
narrationSentences95
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences95
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences101
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen41
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans5
markdownWords24
totalWords897
ratio0.027
matches
0"The Raven’s Nest: Open All Night"
1"Queen of the Jump"
2"This is it. This is where the truth lives."
3"knew"
4"D-locked: Unseen Witnesses Reported"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions8
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions40
wordCount847
uniqueNames19
maxNameDensity1.18
worstName"Tommy"
maxWindowNameDensity2.5
worstWindowName"Tommy"
discoveredNames
Detective1
Harlow7
Quinn1
Met1
London1
Saint2
Christopher2
Raven2
Nest2
Open1
Tommy10
Soho1
Sig1
Sauer1
Veil1
Market3
Morris1
Unseen1
Witnesses1
persons
0"Harlow"
1"Quinn"
2"Met"
3"Saint"
4"Christopher"
5"Raven"
6"Tommy"
7"Market"
8"Morris"
places
0"London"
1"Soho"
globalScore0.91
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences51
glossingSentenceCount0
matches(empty)
0.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches2
per1kWords2.23
wordCount897
matches
0"Not the reaction of a man without secrets, but of a man who recognized one being held too close to flame"
1"Not the scarred medic, but a memory"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences101
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs42
mean21.36
std26.22
cv1.227
sampleLengths
099
157
2120
320
472
557
64
75
856
96
106
1114
1241
1335
1437
1513
168
175
1817
192
204
219
2224
2324
243
255
2611
2718
286
295
303
313
3226
3313
3414
359
364
373
383
3918
4012
416
94.18% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences95
matches
0"being followed"
1"being held"
2"were curved"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs161
matches
0"was still moving"
1"was waiting"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount17
semicolonCount1
flaggedSentences12
totalSentences101
ratio0.119
matches
0"She didn’t slow; didn’t breathe heavy."
1"Her watch glinted cold on her left wrist—5:47 a.m."
2"He didn’t run—he flowed, jacket collars lifted against the downpour, Saint Christopher medallion chinking softly against the scuffed leather of his shoulder bag."
3"The chase had begun at The Raven’s Nest when Harlow had walked in under the flickering green neon—*The Raven’s Nest: Open All Night*—and found only Tommy behind the bar, wiping down glassware with a rag that hadn’t seen soap in weeks."
4"A blurry image of a man in a tailored coat—signet ring glinting—standing in a back room she’d never found."
5"Harlow went higher, clearing it with the kind of precision that had earned her commendations in uniform and a nickname—*Queen of the Jump*—from older officers who resented her being fast–tracked."
6"Through the rusted grate, she glimpsed a flicker of light—greenish, like stained sea glass—moving downward into darkness."
7"The air below was thick, warm, layered with smoke and something metallic—old blood?"
8"That word—judgment—curdled in her chest."
9"The walls pulsed with bioluminescent veins—fungus?"
10"But—*"
11"She saw Tommy, yes, clearly, but also another Tommy—pale, gaunt, eyes hollow, chain around his ankle."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount861
adjectiveStacks0
stackExamples(empty)
adverbCount32
adverbRatio0.03716608594657375
lyAdverbCount6
lyAdverbRatio0.006968641114982578
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences101
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences101
mean8.88
std7.44
cv0.838
sampleLengths
030
16
219
39
412
56
617
77
823
95
104
115
1213
1341
1428
158
1619
173
1821
1920
2022
2117
2210
2314
244
255
2613
2730
2814
294
303
312
3219
335
345
3517
362
378
386
396
408
416
425
432
4420
4514
4612
474
4819
4913
59.41% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats10
diversityRatio0.4158415841584158
totalSentences101
uniqueOpeners42
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount5
totalSentences81
matches
0"Just like her partner’s voice"
1"Then the man had slipped"
2"Then the street ended."
3"Too close to the case"
4"Then, without a word, he"
ratio0.062
71.85% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount30
totalSentences81
matches
0"She didn’t slow; didn’t breathe"
1"Her watch glinted cold on"
2"He didn’t run—he flowed, jacket"
3"He didn’t look behind him."
4"He didn’t need to."
5"He knew she was there."
6"He’d looked up with that"
7"She’d slid a surveillance photo"
8"She kept her Sig Sauer"
9"She landed hard on the"
10"She didn’t know where this"
11"She didn’t know what waited"
12"She checked her watch again."
13"You didn’t need a bone"
14"She holstered the revolver."
15"She took the metal rungs"
16"She couldn’t tell."
17"He almost smiled."
18"She touched the revolver under"
19"He stepped closer."
ratio0.37
95.80% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount59
totalSentences81
matches
0"The rain came down like"
1"She didn’t slow; didn’t breathe"
2"Her watch glinted cold on"
3"Herrera moved like a shadow"
4"He didn’t run—he flowed, jacket"
5"He didn’t look behind him."
6"He didn’t need to."
7"He knew she was there."
8"The scar on his forearm"
9"The chase had begun at"
10"He’d looked up with that"
11"She’d slid a surveillance photo"
12"A blurry image of a"
13"Tommy had paled."
14"Tommy darted left, through a"
15"Harlow followed, boots splashing in"
16"She kept her Sig Sauer"
17"Firearms were last resort."
18"Tommy vaulted over a toppled"
19"Harlow went higher, clearing it"
ratio0.728
61.73% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences81
matches
0"Now, they were deep in"
ratio0.012
99.57% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences33
technicalSentenceCount2
matches
0"The chase had begun at The Raven’s Nest when Harlow had walked in under the flickering green neon—*The Raven’s Nest: Open All Night*—and found only Tommy behind…"
1"Harlow went higher, clearing it with the kind of precision that had earned her commendations in uniform and a nickname—*Queen of the Jump*—from older officers w…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags5
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount0
fancyTags(empty)
dialogueSentences11
tagDensity0.364
leniency0.727
rawRatio0
effectiveRatio0
86.8433%