Run: 2026-05-27-01KSMEKSQERYABC0V68M0NV1CC

Run Details

Duration:
15.6s
Cost:
$0.000927
Provider:
Parasail

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 relentless patter of rain on the paving stones was all that could be heard over the sound of Detective Harlow Quinn's heavy footsteps. She followed her target into the dimly lit alley, her hand resting on the butt of her weapon. The alley smelled of garbage and urine, but she paid it no mind, her focus entirely on the fleeing figure darting between the garbage cans and dumpsters. It was Herrera, the quickly subsiding prickling on her skin confirmed it. The memories of all the open cases associated with him and his friends swirled though her mind. He scurried along the alley like a rat, his olive-toned face occasionally illuminated by a flickering streetlamp. She pushed herself to run faster, her lungs burning from the effort. Herrera turned a corner, and Quinn followed, only to find herself face-to-face with a dead end. She cursed under her breath, knowing she'd lost him. But as she turned to head back the way she came, she noticed a small, non-descript door at the far end of the alley, slightly ajar. Herrera must have gone through there. She cautiously approached the door, her gun now drawn. She pushed it open with a gloved hand, revealing a dimly lit staircase leading down into darkness. The air was stale and musty, carrying with it the faint scent of something vile. She hesitated for a moment, knowing that whatever lay ahead could be dangerous. But she had to follow leads to the truth, no matter how unconventional they seemed. She descended the stairs, her gun at the ready. The staircase seemed to go on forever, the air growing colder and more oppressive with each step. Finally, she emerged into a vast, cavernous space, the origins of which were unclear. The room was dimly lit by flickering torches, casting eerie shadows on the walls. Strange objects and creatures were scattered throughout the space, some familiar and some completely foreign to her. But it was the crowd that drew her attention. Hushed conversations and furtive glances abounded. Dark energy pervaded the atmosphere, which was tangible. Quinn felt like an outsider crashing an esoteric event, out of place in this strange world she knew nothing about. She quickly scans the crowd for Herrera's face amongst the patrons. She needed to find him, get the evidence, translate it, and beat him back to HQ in time for the call. But just as she was about to give up, she spots him in the distance, huddled in a corner with another man. She quietly makes her way over to them, keeping to the shadows as much as she can. But the area was cramped and tourists got in the way. "Sorry, Officer." The battle-hardened soldier sidestepped a crush of fans and their posed selfies in silhouette. And collided hard with Quinn's arm. The sound of shattering glass drew everyone's attention, and as Quinn whirled around, she saw Herrera and the other man sprinting towards a hidden door at the far end of the room. The crowd erupted into chaos, people screaming and running in all directions. Quinn pushed her way through, her gun out and her heart pounding in her chest. She reached the door just as it swung shut, and with a final surge of effort, she shoved it open and barreled through. She found herself in a long, winding tunnel, slick with rainwater and littered with trash. Herrera and the other man were long gone, but the sight of Tommy Herrera's medallion worthy of Simon Peter, glimmering in the darkness caught her eye. She picked it up, knowing it was the only real lead she had. As she turned to leave, a sudden movement from the darkness startled her. A figure emerged, cloaked and hooded, its face obscured. Quinn drawn her gun and aimed it at the figure, her finger hovering over the trigger. "Step forward," she ordered, her voice steady and calm. "Show me your hands." The figure moved forward, slowly lifting its hood to reveal the face of Silas, the barkeeper. He smirked at her, his eyes glinting in the darkness. "Looking for someone, Detective?" he asked, his voice low and smooth. "I might be able to help you... for a price."
created_at"2026-05-27T10:10:20.028Z" 5/27/2026, 10:10:20 AM
model"thedrummer/skyfall-36b-v2"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency186
moderation_latency(null)
generation_time15450
tokens_prompt914
tokens_completion1028
native_tokens_prompt840
native_tokens_completion893
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached832
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)
usage0.0009268
router(null)
provider_responses
0
endpoint_id"1eb01ded-ae11-49e6-8aa6-3067584070bd"
id"chatcmpl-92b072d3a3bb0f96"
is_byokfalse
latency186
model_permaslug"thedrummer/skyfall-36b-v2"
provider_name"Parasail"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.15.0; linux; x64))"
http_referer(null)
request_id"req-1779876620-dmr2c3kzanBk4ptQoOBv"
session_id(null)
api_type"completions"
id"gen-1779876620-q6KMrslyKAsQKD6cIJRP"
upstream_id"chatcmpl-92b072d3a3bb0f96"
total_cost0.0009268
cache_discount0.0002496
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)
dialogueSentences5
tagDensity0.6
leniency1
rawRatio0
effectiveRatio0
57.45% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount705
totalAiIsmAdverbs6
found
0
adverb"quickly"
count2
1
adverb"slightly"
count1
2
adverb"cautiously"
count1
3
adverb"completely"
count1
4
adverb"slowly"
count1
highlights
0"quickly"
1"slightly"
2"cautiously"
3"completely"
4"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)
57.45% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount705
totalAiIsms6
found
0
word"footsteps"
count1
1
word"oppressive"
count1
2
word"familiar"
count1
3
word"tangible"
count1
4
word"pounding"
count1
5
word"glinting"
count1
highlights
0"footsteps"
1"oppressive"
2"familiar"
3"tangible"
4"pounding"
5"glinting"
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
narrationSentences46
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences46
filterMatches(empty)
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences48
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
totalWords705
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
98.76% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions20
wordCount683
uniqueNames8
maxNameDensity1.02
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Detective1
Harlow1
Quinn7
Herrera7
Tommy1
Simon1
Peter1
Silas1
persons
0"Harlow"
1"Quinn"
2"Herrera"
3"Tommy"
4"Simon"
5"Peter"
6"Silas"
places(empty)
globalScore0.988
windowScore1
95.65% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences46
glossingSentenceCount1
matches
0"felt like an outsider crashing an esote"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount705
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences48
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs8
mean88.13
std87.71
cv0.995
sampleLengths
0253
1218
259
377
438
513
626
721
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences46
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs120
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences48
ratio0
matches(empty)
98.50% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount688
adjectiveStacks0
stackExamples(empty)
adverbCount23
adverbRatio0.03343023255813953
lyAdverbCount15
lyAdverbRatio0.02180232558139535
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences48
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences48
mean14.69
std6
cv0.409
sampleLengths
024
118
227
312
417
517
612
716
89
926
106
119
1217
1315
1413
1515
169
1717
1814
1914
2017
219
226
238
2420
2511
2621
2722
2817
2911
3016
316
3232
3312
3415
3523
3615
3726
3813
3913
409
4116
429
434
4416
4510
4611
4710
57.64% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.3958333333333333
totalSentences48
uniqueOpeners19
72.46% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences46
matches
0"Finally, she emerged into a"
ratio0.022
63.48% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount18
totalSentences46
matches
0"She followed her target into"
1"It was Herrera, the quickly"
2"He scurried along the alley"
3"She pushed herself to run"
4"She cursed under her breath,"
5"She cautiously approached the door,"
6"She pushed it open with"
7"She hesitated for a moment,"
8"She descended the stairs, her"
9"She quickly scans the crowd"
10"She needed to find him,"
11"She quietly makes her way"
12"She reached the door just"
13"She found herself in a"
14"She picked it up, knowing"
15"she ordered, her voice steady"
16"He smirked at her, his"
17"he asked, his voice low"
ratio0.391
79.57% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount35
totalSentences46
matches
0"The relentless patter of rain"
1"She followed her target into"
2"The alley smelled of garbage"
3"It was Herrera, the quickly"
4"The memories of all the"
5"He scurried along the alley"
6"She pushed herself to run"
7"Herrera turned a corner, and"
8"She cursed under her breath,"
9"Herrera must have gone through"
10"She cautiously approached the door,"
11"She pushed it open with"
12"The air was stale and"
13"She hesitated for a moment,"
14"She descended the stairs, her"
15"The staircase seemed to go"
16"The room was dimly lit"
17"Quinn felt like an outsider"
18"She quickly scans the crowd"
19"She needed to find him,"
ratio0.761
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences46
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences34
technicalSentenceCount0
matches(empty)
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags3
uselessAdditionCount2
matches
0"she ordered, her voice steady and calm"
1"he asked, his voice low and smooth"
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount1
fancyTags
0"she ordered (order)"
dialogueSentences5
tagDensity0.4
leniency0.8
rawRatio0.5
effectiveRatio0.4
82.6982%