Run: 2026-02-17-01KHMPBG01XM80PP4AMJW08EWA

Run Details

Duration:
28.0s
Cost:
$0.001350
Provider:
Novita

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 in sheets, turning the Soho streets into a shimmering black mirror. Detective Harlow Quinn sprinted after the figure in the dark coat, her boots splashing through oily puddles. The neon sign of The Raven's Nest—that distinctive green glow—reflected in the wet pavement behind her as she rounded the corner. "Met Police! Stop!" Her voice cut through the drumming rain, but the suspect only ducked his head lower and picked up speed. Quinn's breath burned in her lungs. She'd been tailing him for three blocks now, ever since she spotted him slipping out of the bar's hidden back room. Something about the way he moved—too smooth, too aware—had set off alarms in her head. Eighteen years on the force had honed her instincts, and right now, they screamed that this man knew things. Things about the cases she couldn't explain. Things about Morris. The suspect darted into an alley, and Quinn followed without hesitation. The narrow passage reeked of damp brick and rotting trash. Her watch—the worn leather one Morris had given her—ticked steadily against her wrist, a grounding rhythm in the chaos. Then, just as she thought she had him cornered, he vanished. Quinn skidded to a stop, scanning the alley. A rusted service ladder led up to a fire escape, but no movement there. Then she saw it—a sliver of light from a half-open grate in the pavement. The man's coat tail disappeared into the darkness below. She crouched, fingers brushing the cold metal. A faint hum of voices drifted up, along with the scent of incense and something metallic. Blood? Her pulse kicked up. This wasn't just a sewer. Tomás Herrera's warning from last week echoed in her mind. *"There are places even the police shouldn't go, Detective."* He'd been stitching up a gash on her forearm—courtesy of a junkie with a box cutter—and his Saint Christopher medallion had glinted in the clinic's dim light. *"The Market doesn't like outsiders."* Quinn hesitated. Protocol said call for backup. But backup wouldn't believe her about the whispers in the walls, the files that went missing from evidence, the way Morris' body had been found with no wounds but his face frozen in terror. She pulled out her phone, typed a quick location pin, and sent it to her private cloud. Then she holstered her sidearm, drew her compact backup piece, and dropped into the hole. The ladder led down into an abandoned Tube station, its tiled walls covered in strange, swirling graffiti that seemed to shift under her flashlight beam. The air was thick with the smell of burning herbs and wet stone. Up ahead, the tunnel opened into a cavernous space lit by flickering lanterns. Stalls lined the walls, their wares obscured by hanging cloths. The Veil Market. Quinn moved forward, keeping to the shadows. A hooded figure passed her, carrying a burlap sack that dripped something dark. No one looked at her twice. Either they didn't care, or they didn't see her. Then she spotted her suspect, talking urgently to a woman with too-sharp teeth. The woman handed him a small wooden box, and he slipped it inside his coat. Quinn stepped out. "Metropolitan Police. Hands where I can see them." The Market went silent. The suspect turned slowly, and for the first time, she saw his eyes—pupils blown so wide they swallowed the iris. He smiled. "Detective Quinn. We've been expecting you." Behind her, the grate slammed shut.
created_at"2026-02-17T02:20:30.315434+00:00" 2/17/2026, 2:20:30 AM
model"deepseek/deepseek-chat-v3"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1696
moderation_latency(null)
generation_time27952
tokens_prompt914
tokens_completion894
native_tokens_prompt826
native_tokens_completion784
native_tokens_completion_images0
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"
usage0.0013496
router(null)
provider_responses
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id"59a138b8e07eb291e323eb5e2dc53756"
status200
is_byokfalse
latency1696
endpoint_id"cefb5a1e-9fea-4496-9a64-4e1b11a7cc8c"
provider_name"Novita"
model_permaslug"deepseek/deepseek-chat-v3"
api_type"completions"
id"gen-1771294801-1ZaU9cXC01rvpic5Rgkr"
upstream_id"59a138b8e07eb291e323eb5e2dc53756"
total_cost0.0013496
cache_discount(null)
upstream_inference_cost0
provider_name"Novita"

Evaluation details

Result Evaluator Details Meta Data
100.0000% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
adverbTagCount0
adverbTags(empty)
82.9642% AI-ism adverb frequency
Target: <1% AI-ism adverbs (57 tracked)
wordCount587
totalAiIsmAdverbs1
found
0
adverb"slowly"
count1
highlights
0"slowly"
100.0000% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found(empty)
100.0000% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
82.9642% AI-ism word frequency
Target: <1% AI-ism words (140 tracked)
wordCount587
totalAiIsms1
found
0
word"echoed"
count1
highlights
0"echoed"
100.0000% Cliche density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"air was thick with"
count1
highlights
0"The air was thick with"
100.0000% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences47
matches(empty)
100.0000% Filter word density
Target: ≤12% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences47
filterMatches
0"watch"
hedgeMatches
0"seemed to"
100.0000% Overuse of "that" (subordinate clause padding)
Target: ≤10% sentences with "that" clauses
thatCount1
totalSentences49
matches
0"screamed that this"
100.0000% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs18
mean31.94
std19.44
cv0.609
sampleLengths
053
122
271
340
411
545
633
751
841
932
1061
113
1235
1328
1411
154
1628
176
100.0000% Passive voice overuse
Target: ≤5% passive sentences
passiveCount1
totalSentences47
matches
0"been found"
100.0000% Past progressive (was/were + -ing) overuse
Target: ≤10% past progressive verbs
pastProgressiveCount0
totalVerbs89
matches(empty)
100.0000% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount558
adjectiveStacks0
stackExamples(empty)
adverbCount18
adverbRatio0.03225806451612903
lyAdverbCount5
lyAdverbRatio0.008960573476702509
100.0000% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences49
echoCount0
echoWords(empty)
100.0000% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences49
mean11.73
std7.67
cv0.654
sampleLengths
015
117
221
322
46
521
615
719
87
93
1011
1110
1219
1311
148
1514
1614
179
187
1916
201
214
225
2310
2436
255
262
275
2834
2917
3015
3125
3213
3313
3410
353
367
3713
386
399
4013
4115
423
438
444
4520
462
476
486
73.4694% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.4897959183673469
totalSentences49
uniqueOpeners24
100.0000% Dialogue tag variety (said vs. fancy)
Target: ≤30% fancy dialogue tags
totalTags0
fancyCount0
fancyTags(empty)
96.4352%