Run: 2026-05-27-01KSMF6571GBKZ6K7E9KXJ1MXZ

Run Details

Duration:
17.7s
Cost:
$0.000657
Provider:
Parasail

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 downpour hammered against the pavement like thousands of tiny fists, each drop a moral indictment of the life Detective Harlow Quinn had chosen. Her worn leather soles sloshed through ankle-deep puddles, her closes salt-and-pepther hair plastered to her scalp. The distinctive green neon sign of The Raven's Nest flickered in the corner of her vision, a sickly luminescence against the oppressive darkness. Quinn had lost the suspect in the market's labyrinthine layout, but she knew he couldn't have gone far. "He's got to be somewhere near," she muttered, glancing up at the black-and-white photographs lining the walls. Her sharp jaw was set, a shoulder tense against the downpour that had become her constant companion since the investigation began. Through the shifting curtain of rain, Quinn spotted a figure darting between two buildings. Her leather watch beeped softly on her left wrist—three minutes until backup arrived. Three minutes to make a decision. The figure disappeared into a cramped alley, the kind where the smells of decades of neglect haunted the air. Quinn sprinted after him, military precision keeping her movements efficient despite the mud sucking at her boots. The rain had ceased its relentless pounding, now falling in a steady, miserable drizzle that blended with the sweat on her brow. THE RAT-RUN threatened to swallow her whole, but Quinn pressed forward, tones cannons echoing between the buildings that seemed to lean in conspiratorially. A shadow flickered at the end of the alley—definitely him. Her breathing grew more ragged as she pushed herself harder, stamping down on thirty years of cigarette addiction for improved lung capacity. The suspect ducked beneath a fire escape and into another alley. Quinn caught a glimpse of a curved railway bridge arising through the mist, coagulating the city into a collection of disjointed possibilities. THEN SHE SAW IT: an antique bone token glinting in a puddle where the figure had glanced one last time. Quinn snatched it up, the weight of bone making her fingers overtime appearance more substantial. No ordinary escape. This meant something more. Cold dread settled in her stomach like stones. "Well, this complicates things," she said to no one, examining the token—which resembled the bone structure of a bird's wing—before pocketing it. Suddenly, light bathed the alley in sickly green light coming from the checkpoint. Detective Harlow stamped water from her spike heels now performing the beat of her own humming skin. Bone tokens had only one destination in this city: The Veil Market. QUINN STOOD at the entrance to an abandoned Tube station, rejected layers of history and urban rot that had been swallowed by a darkness far older than concrete and steel. The subway stairs descended into what appeared to be simple oblivion. The rain continued above, but down here, in this forgotten place, the air was dry, warm, and smelled of ozone and ancient magic that pricked at the non-supernatural bits of her mind. THIS WASN'T right, not by any stretch. She was either being lured into a trap or following a lead deeper into waters where she didn't know how to swim. The bone token grew uncomfortably warm in her pocket. "Three minutes," she whispered, staring down into the abyss. "Three minutes until backup." Or until she was utterly and completely beyond it. With a deep breath that expanded her chest cavity a thousand times over, Detective Harlow Quinn began her descent into the unknown. Her leather watch glowed softy on her left wrist, counting the seconds she had left to turn back or embrace the unknown. Either way, there was no turning back now. The mission had elevated itself beyond simple pursuit into a journey she never requested but was now duty bound to complete.
created_at"2026-05-27T10:20:21.613Z" 5/27/2026, 10:20:21 AM
model"thedrummer/cydonia-24b-v4.1"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency226
moderation_latency(null)
generation_time17640
tokens_prompt1140
tokens_completion971
native_tokens_prompt1027
native_tokens_completion789
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached304
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(null)
usage0.000657
router(null)
provider_responses
0
endpoint_id"4d46db86-63fe-47eb-85f1-6a7567af190c"
id"chatcmpl-f1f27b06435340029f6cf39d10444f2e"
is_byokfalse
latency226
model_permaslug"thedrummer/cydonia-24b-v4.1"
provider_name"Parasail"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.15.0; linux; x64))"
http_referer(null)
request_id"req-1779877221-eGkAflgWzZtcoHYZ9psg"
session_id(null)
api_type"completions"
id"gen-1779877221-LyoFFWBw1oZm1kWK9oVz"
upstream_id"chatcmpl-f1f27b06435340029f6cf39d10444f2e"
total_cost0.000657
cache_discount0.0000456
upstream_inference_cost0
provider_name"Parasail"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags3
adverbTagCount0
adverbTags(empty)
dialogueSentences4
tagDensity0.75
leniency1
rawRatio0
effectiveRatio0
67.85% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount622
totalAiIsmAdverbs4
found
0
adverb"softly"
count1
1
adverb"suddenly"
count1
2
adverb"utterly"
count1
3
adverb"completely"
count1
highlights
0"softly"
1"suddenly"
2"utterly"
3"completely"
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)
19.61% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount622
totalAiIsms10
found
0
word"flickered"
count2
1
word"oppressive"
count1
2
word"efficient"
count1
3
word"pounding"
count1
4
word"echoing"
count1
5
word"glinting"
count1
6
word"weight"
count1
7
word"stomach"
count1
8
word"structure"
count1
highlights
0"flickered"
1"oppressive"
2"efficient"
3"pounding"
4"echoing"
5"glinting"
6"weight"
7"stomach"
8"structure"
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
narrationSentences38
matches(empty)
0.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount2
narrationSentences38
filterMatches
0"watch"
hedgeMatches
0"seemed to"
1"appeared to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences39
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen33
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords618
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions20
wordCount602
uniqueNames9
maxNameDensity1.33
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Detective3
Harlow3
Quinn8
Raven1
Nest1
Suddenly1
Veil1
Market1
Tube1
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Nest"
places
0"Market"
globalScore0.836
windowScore0.833
80.56% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences36
glossingSentenceCount1
matches
0"buildings that seemed to lean in conspiratorially"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount618
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences39
matches(empty)
95.44% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs14
mean44.14
std21.37
cv0.484
sampleLengths
081
138
233
358
455
533
650
722
842
973
1038
1113
129
1373
86.80% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences38
matches
0"been swallowed"
1"being lured"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs97
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount0
flaggedSentences3
totalSentences39
ratio0.077
matches
0"Her leather watch beeped softly on her left wrist—three minutes until backup arrived."
1"A shadow flickered at the end of the alley—definitely him."
2"\"Well, this complicates things,\" she said to no one, examining the token—which resembled the bone structure of a bird's wing—before pocketing it."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount613
adjectiveStacks0
stackExamples(empty)
adverbCount14
adverbRatio0.022838499184339316
lyAdverbCount10
lyAdverbRatio0.01631321370309951
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences39
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences39
mean15.85
std7.13
cv0.45
sampleLengths
024
116
223
318
417
521
614
713
86
919
1017
1122
1223
1310
1422
1511
1622
1720
1815
193
204
218
2222
2313
2417
2512
2630
2711
2832
297
3022
319
329
334
349
3522
3622
378
3821
73.50% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.48717948717948717
totalSentences39
uniqueOpeners19
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences38
matches
0"THEN SHE SAW IT: an"
1"Suddenly, light bathed the alley"
ratio0.053
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount9
totalSentences38
matches
0"Her worn leather soles sloshed"
1"she muttered, glancing up at"
2"Her sharp jaw was set,"
3"Her leather watch beeped softly"
4"Her breathing grew more ragged"
5"she said to no one,"
6"She was either being lured"
7"she whispered, staring down into"
8"Her leather watch glowed softy"
ratio0.237
78.42% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount29
totalSentences38
matches
0"The downpour hammered against the"
1"Her worn leather soles sloshed"
2"The distinctive green neon sign"
3"Quinn had lost the suspect"
4"she muttered, glancing up at"
5"Her sharp jaw was set,"
6"Her leather watch beeped softly"
7"The figure disappeared into a"
8"Quinn sprinted after him, military"
9"The rain had ceased its"
10"THE RAT-RUN threatened to swallow"
11"A shadow flickered at the"
12"Her breathing grew more ragged"
13"The suspect ducked beneath a"
14"Quinn caught a glimpse of"
15"Quinn snatched it up, the"
16"This meant something more."
17"she said to no one,"
18"Detective Harlow stamped water from"
19"Bone tokens had only one"
ratio0.763
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences38
matches
0"Either way, there was no"
ratio0.026
10.58% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences27
technicalSentenceCount5
matches
0"Her sharp jaw was set, a shoulder tense against the downpour that had become her constant companion since the investigation began."
1"The rain had ceased its relentless pounding, now falling in a steady, miserable drizzle that blended with the sweat on her brow."
2"THE RAT-RUN threatened to swallow her whole, but Quinn pressed forward, tones cannons echoing between the buildings that seemed to lean in conspiratorially."
3"The rain continued above, but down here, in this forgotten place, the air was dry, warm, and smelled of ozone and ancient magic that pricked at the non-supernat…"
4"With a deep breath that expanded her chest cavity a thousand times over, Detective Harlow Quinn began her descent into the unknown."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags3
uselessAdditionCount0
matches(empty)
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount2
fancyTags
0"she muttered (mutter)"
1"she whispered (whisper)"
dialogueSentences4
tagDensity0.75
leniency1
rawRatio0.667
effectiveRatio0.667
79.8698%