Run: 2026-02-19-01KHTQRRFN4W8YPH0BX3BWEPQM

Run Details

Duration:
27.1s
Cost:
$0.000817
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 pounded the pavement, casting a rhythmic spell over the deserted streets of Camden. Detective Harlow Quinn splashed through a puddle, her eyes fixed on the figure darting ahead. Tomás Herrera, her suspect, had led her on a merry chase, dodging market stalls and leaping over puddles with an ease that belied his medical profession. Quinn's watch, a worn leather strap on her left wrist, seemed to weigh heavier with every step. Eighteen years of service, and she'd never let a suspect slip through her fingers like this. Herrera's connection to the clique was the break she needed to crack the case, but he seemed determined to shake her off his tail. As they turned a corner, the entrance to the abandoned Tube station loomed before them. The sign, a faded relic of a bygone era, creaked in the wind: "Camden Road." Quinn's gut told her Herrera was heading into the Veil Market, a whispered rumor of a black market that operated in the shadows. She'd heard stories of the Market's bone tokens, the secret currency that granted access to its hidden stalls. Herrera vanished into the station's entrance, and Quinn hesitated. The darkness within seemed to swallow the light around her, like an abyss waiting to consume her. She'd been warned about the Market's reputation: a place where the desperate and the depraved traded in the shadows. But she couldn't let Herrera escape, not when she was so close to uncovering the truth. With a deep breath, Quinn followed Herrera into the station, her eyes adjusting to the dim light. The air inside reeked of damp earth and decay. A faint hum, like the buzz of a thousand flies, vibrated through the air. The detective's hand instinctively went to her hip, but she wasn't carrying a gun – she'd never been issued one, and even if she had, she wouldn't have been foolish enough to bring it into the Market. As she descended into the tunnels, the sound of the rain grew fainter, replaced by the murmur of hushed conversations. Quinn's eyes scanned the shadows, searching for any sign of Herrera. The tunnels seemed to twist and turn, leading her deeper into the heart of the Market. She stumbled upon a group of figures huddled around a makeshift stall, their faces illuminated by the faint glow of luminescent orbs. They regarded her with a mixture of curiosity and hostility, but none of them was Herrera. A nearby vendor, a gaunt figure with sunken eyes, watched her approach. "Bone token, love?" he asked, his voice like a rusty gate. Quinn flashed her police ID. "I'm looking for a man. Tomás Herrera. He's a –" The vendor's expression turned glacial. "Don't know anyone by that name. And even if I did, I wouldn't be telling you. You're not exactly... welcome here." Quinn's gaze locked onto the vendor's, a challenge sparking between them. "I'm not leaving until I find him." The vendor snorted, a dry, mirthless sound. "You're either very brave or very stupid. Either way, you're not going to last long in here." With a jerk of his head, he gestured toward a narrow passageway between two stalls. "If you're looking for trouble, that's the way to find it." Quinn's instincts screamed at her to retreat, to call for backup and wait for the dawn to come. But she'd never been one to back down from a challenge. She took a deep breath, the air thick with the scent of smoke and corruption, and stepped into the unknown. As she navigated the winding passageway, the sounds of the Market grew louder, a cacophony of whispers, laughter, and screeching metal. Quinn's heart pounded in her chest, her senses on high alert. She was walking into a lion's den, armed with nothing but her wits and her determination. A figure emerged from the shadows ahead, his features illuminated by the flickering light of a nearby torch. Herrera. Quinn's eyes locked onto his, a spark of recognition flashing between them. For a moment, they simply stared at each other, the tension between them crackling like electricity. Then, without a word, Herrera turned and disappeared into the crowd, leaving Quinn to follow – or not. The detective hesitated, her mind racing with the implications. She could turn back, retreat to the safety of the streets above, and write off the whole encounter as a bad lead. Or she could follow Herrera, deeper into the heart of the Veil Market, and risk everything to uncover the truth. Quinn's gaze fell upon the Saint Christopher medallion glinting around Herrera's neck, a symbol of protection and safe passage. She smiled, a wry, humorless smile. She didn't need protection; she needed justice. With a quiet resolve, Quinn plunged into the crowd, determined to follow Herrera into the very depths of the Market, no matter the cost.
created_at"2026-02-19T10:40:11.771Z" 2/19/2026, 10:40:11 AM
model"meta-llama/llama-3.1-70b-instruct"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency191
moderation_latency(null)
generation_time27002
tokens_prompt1184
tokens_completion1209
native_tokens_prompt995
native_tokens_completion1047
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"
usage0.0008168
router(null)
provider_responses
0
endpoint_id"59c87462-40b6-4231-91cf-6d0f8f25e8b9"
id"cmpl-0ae178ad27f44b758a44d86a468c879e"
is_byokfalse
latency73
model_permaslug"meta-llama/llama-3.1-70b-instruct"
provider_name"DeepInfra"
status200
api_type"completions"
id"gen-1771497611-FD4oxlqqgp2nUrHDhism"
upstream_id"cmpl-0ae178ad27f44b758a44d86a468c879e"
total_cost0.0008168
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)
dialogueSentences7
tagDensity0.286
leniency0.571
rawRatio0
effectiveRatio0
81.37% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount805
totalAiIsmAdverbs3
found
0
adverb"very"
count3
highlights
0"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)
13.04% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount805
totalAiIsms14
found
0
word"rhythmic"
count1
1
word"determined"
count2
2
word"loomed"
count1
3
word"vibrated"
count1
4
word"scanned"
count1
5
word"navigated"
count1
6
word"cacophony"
count1
7
word"tension"
count1
8
word"racing"
count1
9
word"encounter"
count1
10
word"glinting"
count1
11
word"resolve"
count1
12
word"depths"
count1
highlights
0"rhythmic"
1"determined"
2"loomed"
3"vibrated"
4"scanned"
5"navigated"
6"cacophony"
7"tension"
8"racing"
9"encounter"
10"glinting"
11"resolve"
12"depths"
66.67% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches2
maxInWindow2
found
0
label"heart pounded in chest"
count1
1
label"flicker of emotion"
count1
highlights
0"heart pounded in her chest"
1"a spark of recognition"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences47
matches(empty)
21.28% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount3
narrationSentences47
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)
analyzedSentences52
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen38
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords807
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
54.89% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions42
wordCount736
uniqueNames9
maxNameDensity1.9
worstName"Quinn"
maxWindowNameDensity3
worstWindowName"Quinn"
discoveredNames
Camden1
Harlow1
Quinn14
Herrera13
Tube1
Veil2
Market8
Saint1
Christopher1
persons
0"Harlow"
1"Quinn"
2"Herrera"
3"Market"
4"Saint"
5"Christopher"
places
0"Veil"
globalScore0.549
windowScore0.667
93.18% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences44
glossingSentenceCount1
matches
0"seemed determined to shake her off his tail"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount807
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences52
matches(empty)
94.68% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs19
mean42.47
std20.45
cv0.481
sampleLengths
055
157
271
361
477
585
623
715
826
918
1024
1126
1249
1348
1431
1534
1651
1732
1824
90.33% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences47
matches
0"been warned"
1"been issued"
29.06% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs117
matches
0"was heading"
1"wasn't carrying"
2"was walking"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount1
flaggedSentences3
totalSentences52
ratio0.058
matches
0"The detective's hand instinctively went to her hip, but she wasn't carrying a gun – she'd never been issued one, and even if she had, she wouldn't have been foolish enough to bring it into the Market."
1"Then, without a word, Herrera turned and disappeared into the crowd, leaving Quinn to follow – or not."
2"She didn't need protection; she needed justice."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount476
adjectiveStacks0
stackExamples(empty)
adverbCount7
adverbRatio0.014705882352941176
lyAdverbCount2
lyAdverbRatio0.004201680672268907
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
mean15.52
std6.98
cv0.45
sampleLengths
014
115
226
317
416
524
615
738
818
99
1017
1119
1216
1317
149
1514
1637
1720
1811
1916
2022
2116
2212
2311
245
2510
265
2721
2811
297
307
3117
3215
3311
3418
3511
3620
3721
3811
3916
4018
411
4212
4316
4418
459
4622
4720
4819
496
65.38% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats1
diversityRatio0.40384615384615385
totalSentences52
uniqueOpeners21
72.46% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences46
matches
0"Then, without a word, Herrera"
ratio0.022
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount10
totalSentences46
matches
0"She'd heard stories of the"
1"She'd been warned about the"
2"She stumbled upon a group"
3"They regarded her with a"
4"he asked, his voice like"
5"She took a deep breath,"
6"She was walking into a"
7"She could turn back, retreat"
8"She smiled, a wry, humorless"
9"She didn't need protection; she"
ratio0.217
90.43% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount34
totalSentences46
matches
0"Rain pounded the pavement, casting"
1"Detective Harlow Quinn splashed through"
2"Tomás Herrera, her suspect, had"
3"Quinn's watch, a worn leather"
4"Herrera's connection to the clique"
5"The sign, a faded relic"
6"She'd heard stories of the"
7"Herrera vanished into the station's"
8"The darkness within seemed to"
9"She'd been warned about the"
10"The air inside reeked of"
11"A faint hum, like the"
12"The detective's hand instinctively went"
13"Quinn's eyes scanned the shadows,"
14"The tunnels seemed to twist"
15"She stumbled upon a group"
16"They regarded her with a"
17"A nearby vendor, a gaunt"
18"he asked, his voice like"
19"Quinn flashed her police ID."
ratio0.739
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences46
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences36
technicalSentenceCount2
matches
0"Tomás Herrera, her suspect, had led her on a merry chase, dodging market stalls and leaping over puddles with an ease that belied his medical profession."
1"She'd heard stories of the Market's bone tokens, the secret currency that granted access to its hidden stalls."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences7
tagDensity0.143
leniency0.286
rawRatio0
effectiveRatio0
79.0927%