Run: 2026-02-19-01KHTR8QRKMFQRXN8XPZT61GD3

Run Details

Duration:
23.7s
Cost:
$0.001345
Provider:
Novita

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 rain came down in sheets, turning the Soho streets into a shimmering black mirror. Detective Harlow Quinn sprinted after the figure in the dark hoodie, her boots splashing through puddles that reflected the neon glow of the Raven’s Nest sign overhead. The suspect darted around a corner, his silhouette flickering under the flickering streetlights. "Met Police! Stop!" Her voice cut through the drumming rain, but the figure only moved faster. She pushed harder, her breath sharp in her lungs, the worn leather watch on her wrist soaked through. The suspect vaulted over a low iron railing, disappearing down a set of narrow stairs. Quinn didn’t hesitate—she grabbed the railing and swung herself over, landing with military precision on the slick steps below. The stairwell stank of damp concrete and something older, something metallic. The suspect’s footsteps echoed ahead, but the deeper she descended, the more the sound seemed to warp, swallowed by the walls. The air grew thick, heavy with the scent of burning herbs and something like charred bone. At the bottom, a rusted gate stood ajar. Beyond it, flickering lanterns cast long shadows across an underground cavern—an abandoned Tube station, its tiled walls cracked and stained. Stalls lined the platform, their vendors hidden beneath hoods and masks, their wares glinting under the uneven light. Enchanted trinkets, vials of swirling liquid, dried herbs bundled in twine. The Veil Market. Quinn slowed, her hand drifting to the holster at her hip. She’d heard whispers of this place, a black market for things that didn’t belong in daylight. The suspect was already weaving through the crowd, his hood slipping just enough to reveal a flash of olive skin, a scar along his forearm. A hand caught her elbow. "You don’t want to follow him in there." She turned. A man stood beside her, his dark curls damp from the rain, a Saint Christopher medallion glinting at his throat. His warm brown eyes held a warning. Tomás Herrera. Quinn yanked her arm free. "I don’t take advice from unlicensed medics." Tomás didn’t flinch. "And I don’t usually stop cops from walking into their own funerals, but tonight’s full of surprises." A murmur rippled through the market. Heads turned toward them, eyes glinting from beneath hoods. The air hummed, charged with something that made the hair on Quinn’s neck stand up. She glanced back at the suspect, now vanishing into the crowd. "That man’s connected to a murder." "Maybe." Tomás stepped closer, his voice low. "But in here, you’re the outsider. And they don’t like outsiders." Quinn’s jaw tightened. She could feel the weight of the market pressing in, the way the shadows seemed to shift when she wasn’t looking. The suspect was getting away. She exhaled sharply. "Then you’re coming with me." Tomás blinked. "What?" "You know this place. You’re my guide." She didn’t wait for an answer, already pushing forward into the crowd. He cursed under his breath in Spanish but followed. "You’re going to get us both killed." "Then keep up." The market swallowed them whole.
created_at"2026-02-19T10:48:55.319Z" 2/19/2026, 10:48:55 AM
model"deepseek/deepseek-chat-v3"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1452
moderation_latency(null)
generation_time23628
tokens_prompt1140
tokens_completion829
native_tokens_prompt1002
native_tokens_completion726
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"
usage0.0013446
router(null)
provider_responses
0
endpoint_id"cefb5a1e-9fea-4496-9a64-4e1b11a7cc8c"
id"27f630a534139963ef9e5bf3b8471ddf"
is_byokfalse
latency1452
model_permaslug"deepseek/deepseek-chat-v3"
provider_name"Novita"
status200
api_type"completions"
id"gen-1771498135-rHmF9b8RhSZuXt1SZlEk"
upstream_id"27f630a534139963ef9e5bf3b8471ddf"
total_cost0.0013446
cache_discount(null)
upstream_inference_cost0
provider_name"Novita"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags2
adverbTagCount0
adverbTags(empty)
dialogueSentences12
tagDensity0.167
leniency0.333
rawRatio0
effectiveRatio0
90.18% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount509
totalAiIsmAdverbs1
found
0
adverb"sharply"
count1
highlights
0"sharply"
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)
21.41% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount509
totalAiIsms8
found
0
word"footsteps"
count1
1
word"echoed"
count1
2
word"glinting"
count3
3
word"charged"
count1
4
word"could feel"
count1
5
word"weight"
count1
highlights
0"footsteps"
1"echoed"
2"glinting"
3"charged"
4"could feel"
5"weight"
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)
30.08% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount2
narrationSentences38
filterMatches
0"watch"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences47
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen27
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords507
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
80.39% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions21
wordCount431
uniqueNames13
maxNameDensity1.39
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Soho1
Harlow1
Quinn6
Raven1
Nest1
Tube1
Veil1
Market1
Saint1
Christopher1
Herrera1
Spanish1
Tomás4
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Market"
4"Saint"
5"Christopher"
6"Herrera"
7"Tomás"
places
0"Soho"
1"Spanish"
globalScore0.804
windowScore1
57.41% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences27
glossingSentenceCount1
matches
0"something like charred bone"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount507
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences47
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs22
mean23.05
std18.42
cv0.799
sampleLengths
055
116
252
348
460
552
65
78
829
92
1012
1120
1230
1317
1418
1529
168
173
1819
1916
203
215
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences38
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs75
matches
0"wasn’t looking"
21.28% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount0
flaggedSentences2
totalSentences47
ratio0.043
matches
0"Quinn didn’t hesitate—she grabbed the railing and swung herself over, landing with military precision on the slick steps below."
1"Beyond it, flickering lanterns cast long shadows across an underground cavern—an abandoned Tube station, its tiled walls cracked and stained."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount433
adjectiveStacks0
stackExamples(empty)
adverbCount7
adverbRatio0.016166281755196306
lyAdverbCount2
lyAdverbRatio0.004618937644341801
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences47
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences47
mean10.79
std6.82
cv0.632
sampleLengths
015
127
213
316
418
515
619
711
821
916
108
1120
1218
1311
143
1511
1616
1725
185
198
202
2120
227
232
245
257
263
2717
286
299
3015
3111
326
337
3411
353
3621
375
383
395
402
411
4219
439
447
453
465
73.76% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.46808510638297873
totalSentences47
uniqueOpeners22
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences35
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount9
totalSentences35
matches
0"Her voice cut through the"
1"She pushed harder, her breath"
2"She’d heard whispers of this"
3"His warm brown eyes held"
4"She glanced back at the"
5"She could feel the weight"
6"She exhaled sharply."
7"She didn’t wait for an"
8"He cursed under his breath"
ratio0.257
2.86% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount32
totalSentences35
matches
0"The rain came down in"
1"Detective Harlow Quinn sprinted after"
2"The suspect darted around a"
3"Her voice cut through the"
4"She pushed harder, her breath"
5"The suspect vaulted over a"
6"Quinn didn’t hesitate—she grabbed the"
7"The stairwell stank of damp"
8"The suspect’s footsteps echoed ahead,"
9"The air grew thick, heavy"
10"Stalls lined the platform, their"
11"The Veil Market."
12"Quinn slowed, her hand drifting"
13"She’d heard whispers of this"
14"The suspect was already weaving"
15"A hand caught her elbow."
16"A man stood beside her,"
17"His warm brown eyes held"
18"Quinn yanked her arm free."
19"Tomás didn’t flinch."
ratio0.914
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences35
matches(empty)
ratio0
67.67% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences19
technicalSentenceCount2
matches
0"Detective Harlow Quinn sprinted after the figure in the dark hoodie, her boots splashing through puddles that reflected the neon glow of the Raven’s Nest sign o…"
1"The suspect was already weaving through the crowd, his hood slipping just enough to reveal a flash of olive skin, a scar along his forearm."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount1
matches
0"Tomás stepped, his voice low"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
74.8343%