Run: 2026-02-19-01KHTY9CG8D8RSDY41TCSF2QKH

Run Details

Duration:
25.6s
Cost:
$0.001338
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 darting between the neon reflections, her boots splashing through puddles that soaked through her trousers. The suspect—a wiry man in a dark hoodie—cut left into an alley, his breath ragged and loud even over the downpour. She vaulted over a stack of soggy cardboard boxes, her sharp jaw set. "Met Police! Stop!" The man didn’t even glance back. He skidded around a dumpster, then disappeared through a rusted service door. Quinn followed, shoving the door open with her shoulder. The hinges screamed. Inside, the air was thick with the scent of damp concrete and something older—something metallic, like old coins. A single flickering bulb cast long shadows down a narrow staircase. The suspect’s footsteps echoed from below. Quinn hesitated. Protocol said call for backup. But backup didn’t know about the case files she’d buried, the ones that linked this man to the same symbols found at Morris’s death scene. She descended. The stairs opened into a cavernous space—an abandoned Tube station, its arched ceilings dripping with condensation. The platform was alive with movement. Stalls lined the walls, their awnings sagging under the weight of trinkets and oddities. A greenish glow pulsed from jars of liquid on one table; another displayed rows of teeth strung on wire. The Veil Market. Quinn’s hand hovered near her hip, but she didn’t draw her weapon. Too many eyes here, too many faces half-hidden under hoods and scarves. The suspect wove through the crowd, heading for a stall draped in black cloth. A hand clamped onto her arm. She spun, ready to strike, but stopped short. The man gripping her wore a Saint Christopher medallion over a faded NHS shirt. His olive skin was slick with rain, his dark curls plastered to his forehead. Tomás Herrera exhaled sharply. "You shouldn’t be here." Quinn yanked her arm free. "Police business." "Not down here, it isn’t." His eyes darted past her, scanning the crowd. "You don’t have a token. They’ll notice." The suspect had reached the black-draped stall. A woman in a moth-eaten shawl leaned over the counter, her fingers brushing his as something exchanged hands. Quinn took a step forward. Tomás blocked her. "Listen. You walk out now, I’ll make sure he doesn’t vanish. But if you go any further, I can’t help you." Her pulse hammered in her throat. Morris had sent her a text the night he died. Two words: *Veil Market.* She met Tomás’s gaze. "What’s in that stall?" His jaw tightened. "Nothing you want to see." The suspect turned, his hood slipping just enough to reveal a jagged scar across his cheek—a mark she’d seen in the case files. The same one carved into Morris’s desk. Quinn pushed past Tomás. The crowd shifted, murmurs rippling through the market. The woman at the stall looked up, her milky eyes locking onto Quinn. Then the lights went out.
created_at"2026-02-19T12:34:08.015Z" 2/19/2026, 12:34:08 PM
model"deepseek/deepseek-chat-v3"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1704
moderation_latency(null)
generation_time25576
tokens_prompt1140
tokens_completion810
native_tokens_prompt1002
native_tokens_completion721
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"
usage0.0013381
router(null)
provider_responses
0
endpoint_id"cefb5a1e-9fea-4496-9a64-4e1b11a7cc8c"
id"bda87529d6d3e5c48b19e9a5fb7e82d3"
is_byokfalse
latency1704
model_permaslug"deepseek/deepseek-chat-v3"
provider_name"Novita"
status200
api_type"completions"
id"gen-1771504448-0olWHNSt9actl1NAQ3eV"
upstream_id"bda87529d6d3e5c48b19e9a5fb7e82d3"
total_cost0.0013381
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
totalTags1
adverbTagCount0
adverbTags(empty)
dialogueSentences8
tagDensity0.125
leniency0.25
rawRatio0
effectiveRatio0
90.08% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount504
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)
40.48% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount504
totalAiIsms6
found
0
word"footsteps"
count1
1
word"echoed"
count1
2
word"weight"
count1
3
word"pulsed"
count1
4
word"scanning"
count1
5
word"pulse"
count1
highlights
0"footsteps"
1"echoed"
2"weight"
3"pulsed"
4"scanning"
5"pulse"
100.00% Cliché 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"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences45
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences45
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences52
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen25
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords2
totalWords496
ratio0.004
matches
0"Veil Market."
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions1
unquotedAttributions0
matches(empty)
60.11% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions25
wordCount445
uniqueNames11
maxNameDensity1.8
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Soho1
Harlow1
Quinn8
Morris3
Tube1
Veil2
Market2
Saint1
Christopher1
Herrera1
Tomás4
persons
0"Harlow"
1"Quinn"
2"Morris"
3"Saint"
4"Christopher"
5"Herrera"
6"Tomás"
places
0"Soho"
1"Market"
globalScore0.601
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences31
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount496
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences52
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs24
mean20.67
std15.79
cv0.764
sampleLengths
058
116
230
335
432
52
655
73
838
96
1036
118
127
1320
1425
155
1624
1720
188
198
2030
214
2221
235
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences45
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs74
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount1
flaggedSentences5
totalSentences52
ratio0.096
matches
0"The suspect—a wiry man in a dark hoodie—cut left into an alley, his breath ragged and loud even over the downpour."
1"Inside, the air was thick with the scent of damp concrete and something older—something metallic, like old coins."
2"The stairs opened into a cavernous space—an abandoned Tube station, its arched ceilings dripping with condensation."
3"A greenish glow pulsed from jars of liquid on one table; another displayed rows of teeth strung on wire."
4"The suspect turned, his hood slipping just enough to reveal a jagged scar across his cheek—a mark she’d seen in the case files."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount453
adjectiveStacks0
stackExamples(empty)
adverbCount7
adverbRatio0.01545253863134658
lyAdverbCount1
lyAdverbRatio0.002207505518763797
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences52
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences52
mean9.54
std6.26
cv0.656
sampleLengths
015
122
221
313
43
56
612
79
83
918
1011
116
122
135
1425
152
1616
176
1814
1919
203
2112
2212
2314
246
258
2614
2714
284
294
305
312
3213
337
347
3518
365
373
3821
396
4010
414
424
434
443
455
4623
477
484
498
71.15% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.46153846153846156
totalSentences52
uniqueOpeners24
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences43
matches
0"Too many eyes here, too"
1"Then the lights went out."
ratio0.047
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount8
totalSentences43
matches
0"She vaulted over a stack"
1"He skidded around a dumpster,"
2"She spun, ready to strike,"
3"His olive skin was slick"
4"His eyes darted past her,"
5"Her pulse hammered in her"
6"She met Tomás’s gaze."
7"His jaw tightened."
ratio0.186
18.14% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount38
totalSentences43
matches
0"The rain came down in"
1"Detective Harlow Quinn sprinted after"
2"The suspect—a wiry man in"
3"She vaulted over a stack"
4"The man didn’t even glance"
5"He skidded around a dumpster,"
6"Quinn followed, shoving the door"
7"The hinges screamed."
8"A single flickering bulb cast"
9"The suspect’s footsteps echoed from"
10"Protocol said call for backup."
11"The stairs opened into a"
12"The platform was alive with"
13"Stalls lined the walls, their"
14"A greenish glow pulsed from"
15"The Veil Market."
16"Quinn’s hand hovered near her"
17"The suspect wove through the"
18"A hand clamped onto her"
19"She spun, ready to strike,"
ratio0.884
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences43
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences20
technicalSentenceCount1
matches
0"Detective Harlow Quinn sprinted after the figure darting between the neon reflections, her boots splashing through puddles that soaked through her trousers."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags1
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
85.9987%