Run: 2026-02-17-01KHMPCV21D4J5AAAMXAQEQA62

Run Details

Duration:
31.4s
Cost:
$0.002177
Provider:
DeepInfra

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
Rain lashed down on the deserted streets of Soho, casting a misty veil over the already murky night. Detective Harlow Quinn's eyes, narrowed against the downpour, locked onto the fleeing figure of Tomás Herrera. His dark curls clung to his forehead as he darted between pedestrians, his olive skin glistening with rain. Quinn's sharp jaw set in determination; she'd been tracking this lead for weeks, and she wasn't about to let it slip away now. "Stop! Police!" Quinn's voice cut through the patter of raindrops, but Tomás didn't flinch. He vanished into the crowd gathering under the awning of a street food stall. Quinn weaved through the onlookers, her worn leather watch glinting on her left wrist as she moved with military precision. She spotted Tomás's Saint Christopher medallion glinting briefly in the neon light of a nearby sign before he plunged into the night, heading toward the distinctive green neon sign of The Raven's Nest. Quinn's eyes never left his back as she tailed him into the dimly lit bar. The air inside reeked of stale beer and old books. Quinn's gaze swept the room, homing in on Tomás as he pushed past patrons and made a beeline for the bookshelf-lined rear wall. Without hesitation, he reached up and slid a section of shelves open, revealing a narrow passageway. Quinn's instincts screamed warning as Tomás slipped into the hidden room. For a moment, Quinn hesitated at the threshold, the sounds of the bar muffled by the thick bookshelves. Her mind replayed the briefing on potential supernatural hideouts in the city. The Veil Market, rumored to operate in the shadows, had been mentioned, but she'd never pinpointed its location. A hunch told her this might be the break she needed – if she dared to follow. She took a deep breath and stepped into the passageway, the shelf sliding shut behind her with a soft creak. The air was heavy with the scent of old dust and something else... incense, perhaps, or smoke. Her eyes adjusted slowly to the dim lighting, revealing a set of steep stairs descending into darkness. The murmur of hushed voices and the faint thrum of a generator drifted up from below. Quinn's hand instinctively went to her hip, only to remember she'd left her firearm locked in her car, anticipating a straightforward interview at The Raven's Nest. A shiver ran down her spine as she began her descent, the stairs creaking beneath her feet. At the bottom, Quinn found herself at the edge of an abandoned Tube station, the platforms and tracks transformed into a labyrinthine market. Lanterns and candles cast flickering shadows on the walls as vendors hawked their wares in hushed tones. The atmosphere reeked of illicit dealings, and Quinn's years of experience told her this was indeed the Veil Market. Tomás Herrera was already lost in the crowd, but Quinn spotted the flash of his medallion near a stall piled high with peculiar artifacts. As she moved to follow, a hand grasped her elbow, spinning her around. "Lost, detective?" A hooded figure loomed over her, voice low and gravelly. Quinn's gaze locked onto the figure's hand, her mind racing. "Just looking for someone." The figure chuckled, producing a small, polished bone from their cloak. "Entry token. You shouldn't be here without one. Now, you can either leave... or pay the price for admission." Quinn's grip on her left wrist tightened, the worn leather of her watch creaking softly. She weighed her options, her eyes darting toward Tomás's last known location. The investigation, the unanswered questions about DS Morris's death, all swirled together in her mind. With a deliberate movement, Quinn reached into her pocket and pulled out a small, unused SIM card. "Information's the currency I deal in. What's the price for letting me pass... and for telling me what's being peddled here tonight?" The hooded figure's gaze flickered, seemingly intrigued by Quinn's boldness. After a moment's deliberation, they nodded, accepting the SIM card. "Very well, Detective Harlow Quinn. Tonight's special: whispers of a new alchemist in town, peddling transmutation serums... and something far more sinister, from the shadows. Your entry's granted, but be warned: in the Veil Market, the lines between hunter and prey are easily blurred." With that, the figure vanished into the crowd, leaving Quinn to navigate the treacherous underworld alone, her eyes fixed on the spot where Tomás Herrera had last been seen. She took a deep breath, stepping into the heart of the market, ready to face whatever lay ahead.
created_at"2026-02-17T02:21:17.822345+00:00" 2/17/2026, 2:21:17 AM
model"nvidia/llama-3.1-nemotron-70b-instruct"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency306
moderation_latency(null)
generation_time31273
tokens_prompt959
tokens_completion1165
native_tokens_prompt817
native_tokens_completion997
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"
usage0.0021768
router(null)
provider_responses
0
id"cmpl-cab9a5d447994d878e222c8134c00a7f"
status200
is_byokfalse
latency218
endpoint_id"d2a33d30-5d41-47d3-a816-1cc067b5a7dd"
provider_name"DeepInfra"
model_permaslug"nvidia/llama-3.1-nemotron-70b-instruct"
api_type"completions"
id"gen-1771294846-pannitbKF4bRkhUiz7o1"
upstream_id"cmpl-cab9a5d447994d878e222c8134c00a7f"
total_cost0.0021768
cache_discount(null)
upstream_inference_cost0
provider_name"DeepInfra"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags2
adverbTagCount0
adverbTags(empty)
dialogueSentences6
tagDensity0.333
leniency0.667
rawRatio0
effectiveRatio0
80.05% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount752
totalAiIsmAdverbs3
found
0
adverb"slowly"
count1
1
adverb"softly"
count1
2
adverb"very"
count1
highlights
0"slowly"
1"softly"
2"very"
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)
20.21% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount752
totalAiIsms12
found
0
word"glistening"
count1
1
word"glinting"
count2
2
word"potential"
count1
3
word"anticipating"
count1
4
word"down her spine"
count1
5
word"loomed"
count1
6
word"racing"
count1
7
word"flickered"
count1
8
word"sinister"
count1
9
word"navigate"
count1
10
word"treacherous"
count1
highlights
0"glistening"
1"glinting"
2"potential"
3"anticipating"
4"down her spine"
5"loomed"
6"racing"
7"flickered"
8"sinister"
9"navigate"
10"treacherous"
66.67% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches2
maxInWindow2
found
0
label"shiver down spine"
count1
1
label"air was thick with"
count1
highlights
0"A shiver ran down her spine"
1"The air was heavy with"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells1
narrationSentences40
matches
0"t in determination"
71.43% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences40
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences44
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen44
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords753
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
21.21% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions42
wordCount660
uniqueNames13
maxNameDensity2.58
worstName"Quinn"
maxWindowNameDensity3.5
worstWindowName"Quinn"
discoveredNames
Soho1
Harlow1
Quinn17
Tomás8
Herrera3
Saint1
Christopher1
Raven2
Nest2
Veil2
Market2
Tube1
Morris1
persons
0"Harlow"
1"Quinn"
2"Tomás"
3"Herrera"
4"Saint"
5"Christopher"
6"Raven"
7"Market"
8"Morris"
places
0"Soho"
globalScore0.212
windowScore0.5
85.90% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences39
glossingSentenceCount1
matches
0"aze flickered, seemingly intrigued by Quinn'"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount753
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences44
matches(empty)
64.99% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs16
mean47.06
std17.76
cv0.377
sampleLengths
075
148
248
360
465
570
643
759
837
912
1014
1130
1242
1339
1464
1547
87.72% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences40
matches
0"been mentioned"
1"been seen"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs109
matches(empty)
12.99% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount1
flaggedSentences2
totalSentences44
ratio0.045
matches
0"Quinn's sharp jaw set in determination; she'd been tracking this lead for weeks, and she wasn't about to let it slip away now."
1"A hunch told her this might be the break she needed – if she dared to follow."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount660
adjectiveStacks1
stackExamples
0"bookshelf-lined rear wall."
adverbCount14
adverbRatio0.021212121212121213
lyAdverbCount8
lyAdverbRatio0.012121212121212121
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences44
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences44
mean17.11
std7.02
cv0.41
sampleLengths
018
116
218
323
414
514
620
733
815
910
1023
1116
1211
1318
1412
1518
1617
1720
1813
194
2017
2116
2226
2317
2423
2517
2619
2724
2813
2912
3010
314
3211
3319
3415
3512
3615
3717
3822
3910
4010
4144
4229
4318
90.91% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats0
diversityRatio0.5454545454545454
totalSentences44
uniqueOpeners24
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences40
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount8
totalSentences40
matches
0"His dark curls clung to"
1"He vanished into the crowd"
2"She spotted Tomás's Saint Christopher"
3"Her mind replayed the briefing"
4"She took a deep breath"
5"Her eyes adjusted slowly to"
6"She weighed her options, her"
7"She took a deep breath,"
ratio0.2
47.50% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount33
totalSentences40
matches
0"Rain lashed down on the"
1"Detective Harlow Quinn's eyes, narrowed"
2"His dark curls clung to"
3"Quinn's sharp jaw set in"
4"Quinn's voice cut through the"
5"He vanished into the crowd"
6"Quinn weaved through the onlookers,"
7"She spotted Tomás's Saint Christopher"
8"Quinn's eyes never left his"
9"The air inside reeked of"
10"Quinn's gaze swept the room,"
11"Quinn's instincts screamed warning as"
12"Her mind replayed the briefing"
13"The Veil Market, rumored to"
14"A hunch told her this"
15"She took a deep breath"
16"The air was heavy with"
17"incense, perhaps, or smoke."
18"Her eyes adjusted slowly to"
19"The murmur of hushed voices"
ratio0.825
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences40
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences37
technicalSentenceCount0
matches(empty)
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount1
matches
0"figure loomed, voice low and gravelly"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
74.7858%