Run: 2026-02-19-01KHTR9WCKAQTW9JYEY8SSFEWF

Run Details

Duration:
17.7s
Cost:
$0.000756
Provider:
DeepInfra

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
Rain lashed down on the city streets like a malevolent entity, casting a gloomy shroud over the already-dreary alleyways of Soho. Detective Harlow Quinn sprinted down the pavement, her eyes fixed on the fleeing figure of Tomás Herrera. Her sharp jaw was set in determination, her worn leather watch glinting on her wrist as she pumped her arms to maintain her pace. "Stop, Herrera!" she yelled, her voice hoarse from shouting over the rain. "I just want to talk!" Tomás didn't look back, his dark curls plastered to his forehead as he weaved through the crowded streets. Quinn's military precision training allowed her to stay hot on his heels, her eyes scanning the surroundings for any sign of an ambush or potential escape routes. As they careened down a side street, the distinctive green neon sign of The Raven's Nest flickered overhead, casting an eerie glow over the wet pavement. Tomás ducked into the bar, vanishing from view. Quinn followed, bursting through the door as the sounds of jazz and hushed conversations enveloped her. The dimly lit bar was a labyrinth of narrow corridors and cramped tables, the air thick with smoke and the stench of cheap perfume. Quinn's eyes adjusted slowly, her gaze sweeping the room as she homed in on Tomás's olive skin. He was already pushing through the crowd, heading toward the back of the bar. Quinn elbowed her way through the patrons, earning more than a few hostile glances. She ignored them, her focus solely on Tomás as he slipped behind a tattered bookshelf. The shelf creaked, and a section of the wall swung open, revealing a hidden passageway. Quinn hesitated, her hand on the grip of her gun. Something didn't feel right. The bar's patrons seemed oblivious to the hidden door, but Quinn's instincts screamed that this was more than just a simple back room. With a deep breath, she followed Tomás into the passage. The air grew colder, the smell of damp earth and mold filling her nostrils as the door creaked shut behind her. A narrow stairway led down into darkness, the only sound the distant rumble of the Tube and the soft murmur of voices. Quinn's heart rate quickened as she descended the stairs, her hand on the wall to guide her. The air grew thick with the scent of incense and something else – something sweet and acrid. Her stomach twisted in a knot of unease. At the bottom of the stairs, Quinn found herself in a cavernous space filled with makeshift stalls and shoppers haggling over strange, glowing wares. The Veil Market. She'd heard whispers of this place, a supernatural black market hidden beneath the city's streets. Tomás was nowhere to be seen, but Quinn spotted a familiar symbol etched into the wall – a bone token, the entry requirement for this clandestine market. Her eyes scanned the crowd, searching for any sign of her suspect. A figure emerged from the shadows, a hood pulled up over their head. "Welcome, Detective," they said, their voice like a snake slithering through grass. "We don't often get visitors from the... mundane world." Quinn's hand tightened on her gun. "I'm looking for Tomás Herrera. He's a person of interest in a case I'm working on." The figure chuckled, the sound low and menacing. "I'm afraid Tomás is... indisposed. But you're welcome to browse our wares, Detective. I'm sure you'll find something that... enlightens you." Quinn's eyes locked onto the figure, her mind racing with possibilities. She could try to find Tomás, but that would mean navigating this treacherous market alone. Or she could retreat, regroup, and come back with reinforcements. But something about this place drew her in, a morbid curiosity about the secrets that lurked beneath the city's streets. Quinn took a deep breath, her eyes adjusting to the dim light as she stepped forward, into the heart of the Veil Market. "I'll take my chances," she said, her voice firm. The figure nodded, a hint of a smile playing on their lips. "Very well, Detective. Let's see how long you last in our little world."
created_at"2026-02-19T10:49:32.825Z" 2/19/2026, 10:49:32 AM
model"meta-llama/llama-3.1-70b-instruct"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency148
moderation_latency(null)
generation_time17593
tokens_prompt1184
tokens_completion1038
native_tokens_prompt995
native_tokens_completion894
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"
usage0.0007556
router(null)
provider_responses
0
endpoint_id"59c87462-40b6-4231-91cf-6d0f8f25e8b9"
id"cmpl-835c00d9962249439b7ee39eb66b940a"
is_byokfalse
latency56
model_permaslug"meta-llama/llama-3.1-70b-instruct"
provider_name"DeepInfra"
status200
api_type"completions"
id"gen-1771498172-VwtoNcnUBAXPNL2YYcXo"
upstream_id"cmpl-835c00d9962249439b7ee39eb66b940a"
total_cost0.0007556
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
totalTags3
adverbTagCount0
adverbTags(empty)
dialogueSentences8
tagDensity0.375
leniency0.75
rawRatio0
effectiveRatio0
85.36% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount683
totalAiIsmAdverbs2
found
0
adverb"slowly"
count1
1
adverb"very"
count1
highlights
0"slowly"
1"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)
4.83% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount683
totalAiIsms13
found
0
word"glinting"
count1
1
word"scanning"
count1
2
word"potential"
count1
3
word"flickered"
count1
4
word"quickened"
count1
5
word"stomach"
count1
6
word"familiar"
count1
7
word"etched"
count1
8
word"clandestine"
count1
9
word"scanned"
count1
10
word"racing"
count1
11
word"navigating"
count1
12
word"treacherous"
count1
highlights
0"glinting"
1"scanning"
2"potential"
3"flickered"
4"quickened"
5"stomach"
6"familiar"
7"etched"
8"clandestine"
9"scanned"
10"racing"
11"navigating"
12"treacherous"
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
emotionTells1
narrationSentences40
matches
0"t in determination"
71.43% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences40
filterMatches
0"watch"
hedgeMatches
0"try to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences45
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
totalWords684
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
43.79% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions31
wordCount612
uniqueNames10
maxNameDensity2.12
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Soho1
Harlow1
Quinn13
Tomás8
Herrera1
Raven1
Nest1
Tube1
Veil2
Market2
persons
0"Harlow"
1"Quinn"
2"Tomás"
3"Herrera"
4"Raven"
5"Nest"
6"Market"
places
0"Soho"
globalScore0.438
windowScore0.833
82.43% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences37
glossingSentenceCount1
matches
0"seemed oblivious to the hidden door, but Quinn's instincts screamed that this was more than just a simple back room"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount684
matches(empty)
92.59% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences45
matches
0"screamed that this"
57.17% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs18
mean38
std13.3
cv0.35
sampleLengths
062
117
245
350
455
544
637
753
842
942
1039
1134
1222
1329
1436
1543
169
1725
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences40
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs88
matches(empty)
15.87% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount0
flaggedSentences2
totalSentences45
ratio0.044
matches
0"The air grew thick with the scent of incense and something else – something sweet and acrid."
1"Tomás was nowhere to be seen, but Quinn spotted a familiar symbol etched into the wall – a bone token, the entry requirement for this clandestine market."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount611
adjectiveStacks0
stackExamples(empty)
adverbCount11
adverbRatio0.01800327332242226
lyAdverbCount4
lyAdverbRatio0.006546644844517185
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences45
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences45
mean15.2
std6.31
cv0.415
sampleLengths
021
117
224
312
45
518
627
726
88
916
1024
1117
1214
1314
1415
1515
1610
174
1823
1910
2021
2122
2217
2317
248
2524
263
2715
2827
2912
3013
3112
329
336
3416
358
3621
3711
3815
3910
4020
4123
429
4312
4413
74.07% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats0
diversityRatio0.4444444444444444
totalSentences45
uniqueOpeners20
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
pronounCount10
totalSentences40
matches
0"Her sharp jaw was set"
1"she yelled, her voice hoarse"
2"He was already pushing through"
3"She ignored them, her focus"
4"Her stomach twisted in a"
5"She'd heard whispers of this"
6"Her eyes scanned the crowd,"
7"they said, their voice like"
8"She could try to find"
9"she said, her voice firm"
ratio0.25
22.50% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount35
totalSentences40
matches
0"Rain lashed down on the"
1"Detective Harlow Quinn sprinted down"
2"Her sharp jaw was set"
3"she yelled, her voice hoarse"
4"Tomás didn't look back, his"
5"Quinn's military precision training allowed"
6"Tomás ducked into the bar,"
7"Quinn followed, bursting through the"
8"The dimly lit bar was"
9"Quinn's eyes adjusted slowly, her"
10"He was already pushing through"
11"Quinn elbowed her way through"
12"She ignored them, her focus"
13"The shelf creaked, and a"
14"Quinn hesitated, her hand on"
15"Something didn't feel right."
16"The bar's patrons seemed oblivious"
17"The air grew colder, the"
18"A narrow stairway led down"
19"Quinn's heart rate quickened as"
ratio0.875
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
analyzedSentences31
technicalSentenceCount1
matches
0"But something about this place drew her in, a morbid curiosity about the secrets that lurked beneath the city's streets."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags3
uselessAdditionCount1
matches
0"she said, her voice firm"
25.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount1
fancyTags
0"she yelled (yell)"
dialogueSentences8
tagDensity0.375
leniency0.75
rawRatio0.333
effectiveRatio0.25
72.5019%