Run: 2026-02-19-01KHTXG8K19VS8RS88TDXEEVA2

Run Details

Duration:
34.6s
Cost:
$0.001255
Provider:
AtlasCloud

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
Rain lashed against Detective Harlow Quinn's face as she sprinted down the slick pavement, her worn leather watch strap digging into her wrist. The suspect's dark silhouette darted between pools of orange streetlight, footsteps splashing through puddled reflections of neon signs. "Met Police! Stop!" The figure vaulted over a low iron fence without breaking stride. Quinn's sharp jaw clenched as she followed, her military-trained muscles propelling her over with practiced efficiency. Her salt-and-pepper hair clung to her forehead, the cold water tracing the lines of her face. Ahead, the runner ducked into an alley choked with steam from overflowing drains. Quinn unholstered her weapon but kept it lowered - she needed answers more than a body. "Tommy Herrera! We can talk this out!" The only response was the clatter of a metal dumpster knocked over in desperation. She rounded the corner just in time to see him vanish through a rusted service door. The peeling paint revealed faded Underground roundels beneath - this was no maintenance entrance. Quinn hesitated at the threshold, her breath coming hard. The door yawned open into pitch blackness, the stench of damp concrete and something coppery wafting out. From the depths came the distant murmur of voices and the clink of glass. Her fingers tightened on her pistol grip. Four rapid gunshots echoed from the stairwell. She ducked instinctively, but no bullets whizzed past - the sounds had come from below. A warning. She counted to three and stepped into the darkness. The stairs descended at a steep angle, the metal treads vibrating with some unseen activity below. Quinn moved with deliberate silence, keeping to the wall where the steps were less likely to creak. The faint green glow at the bottom resolved into flickering candlelight. The abandoned Tube platform looked nothing like Transport for London maintained. Makeshift stalls lined the curved tiles, their tarpaulins flapping in the subterranean draft. Patrons in hoods and masks exchanged items with furtive gestures. A hulking figure by the tracks was reloading what looked like a Civil War-era revolver. Herrera's silhouette disappeared behind a curtain of hanging furs. Quinn edged along the platform, avoiding eye contact as she passed a table displaying vials of luminous liquid. Her shoulder bumped a stack of ancient books, sending one tumbling to the ground with a thud. Every conversation within twenty feet stopped dead. A vendor with too many teeth leaned across his counter. "No badge down here, rozzer." His breath smelled of rotten meat and cloves. Quinn kept walking, pulse hammering in her throat. The scars on her forearm itched where the knife had gone in three years ago, the night Morris died in that warehouse full of symbols no academy training had prepared her for. She reached the fur curtain and threw it aside. Herrera stood frozen amid shelves of dubious medical equipment, his Saint Christopher medallion glinting in the lantern light. Three others in the room immediately reached for weapons - a curved dagger, a taser made from what looked like a cattle prod, and something that hummed with unnatural energy. "Who let the watchdog in?" A woman with violet eyes cocked the hammer on an antique derringer. Herrera's olive skin had gone pale. "Jesus, Quinn. You followed me here?" "I'm not here to arrest you, Tommy." Quinn kept her hands visible but didn't lower her guard. "I need to know who's supplying the Fentanyl cut with ghost ash. It's killing humans and supernaturals alike." The derringer didn't waver. "That's Market business. You've got no jurisdiction." "We all read the papers." Herrera's fingers brushed his scarred forearm. "Twelve dead last month. Kids." The hum of the strange weapon intensified as its wielder stepped forward. Quinn recognized the stance - someone who'd killed before and wouldn't lose sleep over another body. "Walk away, detective." The voice grated like stones in a tin can. "Before we add your bones to the charm shop." Quinn's boot scraped against something on the floor - a shard of mirror. In its reflection, she saw the vendor with extra teeth moving silently behind her, a garrote woven from silver wire gleaming in his hands. She exhaled slowly, calculating angles of fire. The exit was blocked. The rules of engagement had changed the moment she'd stepped through that door. Her finger found the trigger guard. Herrera's hand shot out, his medic's reflexes faster than the others. "Enough." He turned to Quinn, his dark brown eyes urgent. "There's an apothecary near the old Bakerloo junction. Ask for the bishop's chess set. But if you're not gone in sixty seconds, I can't protect you." The derringer twitched. "You vouching for filth now, Tommy?" "Who patched you up after the werewolf brawl?" His fingers tightened around the medallion. "Sixty seconds, Quinn. Clock's running." She backed toward the curtain, watching every twitch of every trigger finger. The Market's ambient noise rushed back in as she cleared the threshold - a dozen deals resumed as if the confrontation never happened. Above ground, the rain had slowed to a drizzle. Quinn holstered her weapon and checked her watch. The face had cracked during the chase, the hands frozen at 11:34. She turned up her collar against the chill and headed for the nearest call box. Bakerloo junction would have to wait until daylight. The things that haunted these streets weren't all afraid of the sun.
created_at"2026-02-19T12:20:24.811Z" 2/19/2026, 12:20:24 PM
model"deepseek/deepseek-chat-v3-0324"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1365
moderation_latency(null)
generation_time34552
tokens_prompt1140
tokens_completion1422
native_tokens_prompt1003
native_tokens_completion1180
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"
usage0.001255048
router(null)
provider_responses
0
endpoint_id"5bb598f5-fd97-4f8b-91e4-ceab3743a03b"
id"d8f3863232414e1d89a0122e0e293c80"
is_byokfalse
latency1365
model_permaslug"deepseek/deepseek-chat-v3-0324"
provider_name"AtlasCloud"
status200
api_type"completions"
id"gen-1771503624-QjlfXYdMe8Jb3tloEWm4"
upstream_id"d8f3863232414e1d89a0122e0e293c80"
total_cost0.001255048
cache_discount(null)
upstream_inference_cost0
provider_name"AtlasCloud"

Evaluation details

Result Evaluator Details Meta Data
0.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags7
adverbTagCount2
adverbTags
0"The voice grated like [like]"
1"His fingers tightened around [around]"
dialogueSentences17
tagDensity0.412
leniency0.824
rawRatio0.286
effectiveRatio0.235
94.38% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount889
totalAiIsmAdverbs1
found
0
adverb"slowly"
count1
highlights
0"slowly"
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)
21.26% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount889
totalAiIsms14
found
0
word"footsteps"
count1
1
word"jaw clenched"
count1
2
word"tracing"
count1
3
word"depths"
count1
4
word"echoed"
count1
5
word"silence"
count1
6
word"resolved"
count1
7
word"hulking"
count1
8
word"pulse"
count1
9
word"glinting"
count1
10
word"charm"
count1
11
word"gleaming"
count1
12
word"calculating"
count1
13
word"chill"
count1
highlights
0"footsteps"
1"jaw clenched"
2"tracing"
3"depths"
4"echoed"
5"silence"
6"resolved"
7"hulking"
8"pulse"
9"glinting"
10"charm"
11"gleaming"
12"calculating"
13"chill"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"jaw/fists clenched"
count1
highlights
0"jaw clenched"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences62
matches(empty)
96.77% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences62
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
maxSentenceWordsSeen32
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords892
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions1
unquotedAttributions0
matches(empty)
71.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions29
wordCount766
uniqueNames14
maxNameDensity1.57
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Detective1
Harlow1
Quinn12
Underground1
Tube1
Transport1
London1
Civil1
War-era1
Morris1
Saint1
Christopher1
Herrera5
Market1
persons
0"Harlow"
1"Quinn"
2"Morris"
3"Saint"
4"Christopher"
5"Herrera"
6"Market"
places
0"London"
globalScore0.717
windowScore0.833
63.79% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences58
glossingSentenceCount2
matches
0"looked like a Civil War-era revolver"
1"looked like a cattle prod, and something"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount892
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
totalParagraphs32
mean27.88
std14.73
cv0.528
sampleLengths
041
13
243
329
47
544
647
724
89
944
1049
1144
127
1323
1440
159
1648
1717
1812
1935
2011
2116
2228
2321
2437
2530
2647
279
2819
2935
3044
3120
99.60% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences62
matches
0"was blocked"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs126
matches
0"was reloading"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount7
semicolonCount0
flaggedSentences7
totalSentences72
ratio0.097
matches
0"Quinn unholstered her weapon but kept it lowered - she needed answers more than a body."
1"The peeling paint revealed faded Underground roundels beneath - this was no maintenance entrance."
2"She ducked instinctively, but no bullets whizzed past - the sounds had come from below."
3"Three others in the room immediately reached for weapons - a curved dagger, a taser made from what looked like a cattle prod, and something that hummed with unnatural energy."
4"Quinn recognized the stance - someone who'd killed before and wouldn't lose sleep over another body."
5"Quinn's boot scraped against something on the floor - a shard of mirror."
6"The Market's ambient noise rushed back in as she cleared the threshold - a dozen deals resumed as if the confrontation never happened."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount763
adjectiveStacks0
stackExamples(empty)
adverbCount15
adverbRatio0.019659239842726082
lyAdverbCount6
lyAdverbRatio0.007863695937090432
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
mean12.39
std6.02
cv0.486
sampleLengths
023
118
23
311
416
516
613
716
87
914
1016
1114
129
1317
1414
157
167
1715
182
199
2016
2117
2211
2311
2413
2510
2615
279
2818
2917
307
3110
3213
338
3432
359
3618
3730
3817
396
406
4117
4218
434
447
4511
465
4712
4816
4912
69.91% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.4444444444444444
totalSentences72
uniqueOpeners32
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences61
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount14
totalSentences61
matches
0"Her salt-and-pepper hair clung to"
1"She rounded the corner just"
2"Her fingers tightened on her"
3"She ducked instinctively, but no"
4"She counted to three and"
5"Her shoulder bumped a stack"
6"His breath smelled of rotten"
7"She reached the fur curtain"
8"She exhaled slowly, calculating angles"
9"Her finger found the trigger"
10"He turned to Quinn, his"
11"His fingers tightened around the"
12"She backed toward the curtain,"
13"She turned up her collar"
ratio0.23
17.38% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount54
totalSentences61
matches
0"Rain lashed against Detective Harlow"
1"The suspect's dark silhouette darted"
2"The figure vaulted over a"
3"Quinn's sharp jaw clenched as"
4"Her salt-and-pepper hair clung to"
5"Quinn unholstered her weapon but"
6"The only response was the"
7"She rounded the corner just"
8"The peeling paint revealed faded"
9"Quinn hesitated at the threshold,"
10"The door yawned open into"
11"Her fingers tightened on her"
12"She ducked instinctively, but no"
13"She counted to three and"
14"The stairs descended at a"
15"Quinn moved with deliberate silence,"
16"The faint green glow at"
17"The abandoned Tube platform looked"
18"Patrons in hoods and masks"
19"A hulking figure by the"
ratio0.885
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences61
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences37
technicalSentenceCount1
matches
0"Three others in the room immediately reached for weapons - a curved dagger, a taser made from what looked like a cattle prod, and something that hummed with unn…"
53.57% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags7
uselessAdditionCount1
matches
0"He turned, his dark brown eyes urgent"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
76.2778%