Run: 2026-10-07-01M4ATYMTN30ZHP4JAYBH983CT

Run Details

Duration:
8.8s
Cost:
$0.008863
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 the pavement, turning Soho’s neon glow into a blur of smeared colours. Detective Harlow Quinn’s boots splashed through puddles, her breath steady despite the cold bite in the air. She kept her eyes locked on the figure darting between the shadows—a lanky silhouette in a dark hoodie, moving with the desperation of a man who knew the game was up. He ducked left, weaving through the late-night crowd spilling from The Raven’s Nest. The green neon sign flickered above the door, casting a sickly hue over the cobblestones. Quinn didn’t slow. She cut through the throng, shoulders brushing past revellers too drunk to notice the chase unfolding around them. The suspect glanced back, his face half-lit by a streetlamp. Fear widened his eyes. He bolted right, towards a narrow alley that reeked of stale beer and cigarette smoke. Quinn followed, her leather watch strap snug against her wrist as she timed her steps. The alley spat them out onto a quieter street, the rain easing just enough to let the distant wail of a police siren cut through the downpour. He was fast, but she was relentless. Years of chasing ghosts had honed her instincts. The suspect skidded around a corner, his trainers slapping against wet pavement. Quinn took the turn tighter, her sharp jaw set. Then he vanished. She slowed, scanning the empty stretch ahead. No doors, no side streets—just a dead end. A rusted fire escape sagged above, but he hadn’t gone up. Then she saw it: a manhole cover, slightly askew, water swirling into the darkness below. Quinn crouched, fingers brushing the cold metal. The scent of damp earth and something older, something metallic, rose from the hole. She hesitated. The Met didn’t train for this—chasing a suspect into the bowels of the city, where the rules above ground didn’t apply. A distant clatter echoed from below. He was still running. She gripped the edge, lowering herself down. The ladder rungs were slick, her palms barely finding purchase. The drop seemed endless before her boots hit solid ground. The tunnel stretched ahead, dimly lit by flickering bulbs strung along the ceiling. The air was thick, stale, like the inside of a coffin. Footsteps. She moved, her bearing all military precision, each step deliberate. The tunnel split. She took the left fork, the walls lined with graffiti that looked more like warnings than art. Then she saw it—the entrance to The Veil Market. The abandoned Tube station yawned before her, the arches lined with stalls that shouldn’t exist. The hum of voices, the clink of glass, the scent of spices and something sharper, like ozone. A bone token lay discarded near the entrance, its surface carved with symbols she didn’t recognise. Her suspect was here. Somewhere. A figure stepped into her path—a man with olive skin and a scar running the length of his forearm. Tomás Herrera. His Saint Christopher medallion glinted under the harsh light. “You’re a long way from the surface, Detective.” Quinn didn’t break stride. “Out of my way.” Tomás blocked her. “This isn’t your jurisdiction.” “He’s my suspect.” “And this is my market.” His voice was calm, but his eyes flicked to the shadows. “You don’t have a token. You don’t belong here.” She could push past him. But the way he stood, the tension in his shoulders—he wasn’t just a bystander. “You know him.” “Maybe.” Tomás didn’t deny it. “But down here, things aren’t what they seem. That man you’re chasing? He’s not just running from you.” Quinn’s fingers twitched. She’d lost Morris to something like this—something she couldn’t explain. “Then tell me what he is running from.” Tomás exhaled, the sound lost in the market’s murmur. “You really want to follow him? Fine. But don’t say I didn’t warn you.” He stepped aside. The market stretched before her, a labyrinth of stalls selling things that defied logic. Jars of glowing liquid, weapons that hummed with energy, eyes that followed her from the dark. The suspect was here. She could feel it. But the deeper she went, the more the air pressed against her, like the walls themselves were breathing. Ahead, a figure in a dark hoodie slipped between two stalls, disappearing into the crowd. Quinn moved forward. The choice was made.
created_at"2026-10-07T09:26:14.112Z" 10/7/2026, 9:26:14 AM
model"mistralai/mistral-medium-3.5-20260430"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency391
moderation_latency(null)
generation_time8809
tokens_prompt1104
tokens_completion1118
native_tokens_prompt1039
native_tokens_completion974
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"
usage0.0088635
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791365174-OnDOlDuy4Jkat49CjSxk"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791365174-xqRTX0Ok1SlBcwpHL7Gk"
upstream_id"b2ad6055eabf4c20b17ca8f7d21d8b34"
provider_responses
0
endpoint_id"d21d316f-d540-4718-b36e-3beff85d0cf9"
id"b2ad6055eabf4c20b17ca8f7d21d8b34"
is_byokfalse
latency391
model_permaslug"mistralai/mistral-medium-3.5-20260430"
provider_name"Mistral"
status200
total_cost0.0088635
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
totalTags2
adverbTagCount0
adverbTags(empty)
dialogueSentences11
tagDensity0.182
leniency0.364
rawRatio0
effectiveRatio0
86.09% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount719
totalAiIsmAdverbs2
found
0
adverb"slightly"
count1
1
adverb"really"
count1
highlights
0"slightly"
1"really"
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)
51.32% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount719
totalAiIsms7
found
0
word"flickered"
count1
1
word"scanning"
count1
2
word"echoed"
count1
3
word"footsteps"
count1
4
word"flicked"
count1
5
word"tension"
count1
6
word"could feel"
count1
highlights
0"flickered"
1"scanning"
2"echoed"
3"footsteps"
4"flicked"
5"tension"
6"could feel"
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
narrationSentences63
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences63
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences72
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen32
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords712
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
87.01% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions24
wordCount635
uniqueNames14
maxNameDensity1.26
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Soho1
Harlow1
Quinn8
Raven1
Nest1
Met1
Veil1
Market1
Tube1
Herrera1
Saint1
Christopher1
Morris1
Tomás4
persons
0"Harlow"
1"Quinn"
2"Met"
3"Herrera"
4"Saint"
5"Christopher"
6"Morris"
7"Tomás"
places
0"Soho"
1"Raven"
2"Veil"
globalScore0.87
windowScore1
33.72% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences43
glossingSentenceCount2
matches
0"seemed endless before her boots hit solid ground"
1"something like this—something she couldn’t e"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount712
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences72
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs29
mean24.55
std16.85
cv0.686
sampleLengths
063
149
229
342
436
53
641
744
810
951
1031
119
1248
135
1430
158
168
177
183
1925
2022
2123
2221
2323
243
2538
2618
2715
287
99.69% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences63
matches
0"was made"
79.88% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs111
matches
0"was still running"
1"were breathing"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount7
semicolonCount0
flaggedSentences7
totalSentences72
ratio0.097
matches
0"She kept her eyes locked on the figure darting between the shadows—a lanky silhouette in a dark hoodie, moving with the desperation of a man who knew the game was up."
1"No doors, no side streets—just a dead end."
2"The Met didn’t train for this—chasing a suspect into the bowels of the city, where the rules above ground didn’t apply."
3"Then she saw it—the entrance to The Veil Market."
4"A figure stepped into her path—a man with olive skin and a scar running the length of his forearm."
5"But the way he stood, the tension in his shoulders—he wasn’t just a bystander."
6"She’d lost Morris to something like this—something she couldn’t explain."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount644
adjectiveStacks0
stackExamples(empty)
adverbCount18
adverbRatio0.027950310559006212
lyAdverbCount5
lyAdverbRatio0.007763975155279503
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences72
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences72
mean9.89
std6.26
cv0.633
sampleLengths
015
117
231
313
415
53
618
710
84
915
1015
1127
127
138
1412
159
163
177
188
1911
2015
217
2214
232
2421
256
264
277
2810
2910
3013
3111
321
3310
343
3517
369
3715
3817
3916
404
411
4219
432
449
458
464
474
483
494
47.69% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.3194444444444444
totalSentences72
uniqueOpeners23
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences59
matches
0"Then he vanished."
1"Then she saw it: a"
2"Then she saw it—the entrance"
ratio0.051
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount17
totalSentences59
matches
0"She kept her eyes locked"
1"He ducked left, weaving through"
2"She cut through the throng,"
3"He bolted right, towards a"
4"He was fast, but she"
5"She slowed, scanning the empty"
6"He was still running."
7"She gripped the edge, lowering"
8"She moved, her bearing all"
9"She took the left fork,"
10"Her suspect was here."
11"His Saint Christopher medallion glinted"
12"His voice was calm, but"
13"She could push past him."
14"She’d lost Morris to something"
15"He stepped aside."
16"She could feel it."
ratio0.288
19.32% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount52
totalSentences59
matches
0"The rain hammered the pavement,"
1"Detective Harlow Quinn’s boots splashed"
2"She kept her eyes locked"
3"He ducked left, weaving through"
4"The green neon sign flickered"
5"Quinn didn’t slow."
6"She cut through the throng,"
7"The suspect glanced back, his"
8"Fear widened his eyes."
9"He bolted right, towards a"
10"Quinn followed, her leather watch"
11"The alley spat them out"
12"He was fast, but she"
13"Years of chasing ghosts had"
14"The suspect skidded around a"
15"Quinn took the turn tighter,"
16"She slowed, scanning the empty"
17"A rusted fire escape sagged"
18"Quinn crouched, fingers brushing the"
19"The scent of damp earth"
ratio0.881
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences59
matches(empty)
ratio0
75.89% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences32
technicalSentenceCount3
matches
0"She kept her eyes locked on the figure darting between the shadows—a lanky silhouette in a dark hoodie, moving with the desperation of a man who knew the game w…"
1"The market stretched before her, a labyrinth of stalls selling things that defied logic."
2"Jars of glowing liquid, weapons that hummed with energy, eyes that followed her from the dark."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
82.6872%