Run: 2026-02-19-01KHTQZ2TF4NF6PMVQREX4X6RR

Run Details

Duration:
26.1s
Cost:
$0.001881
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
Detective Harlow Quinn dashed through the rain-soaked streets of London, her leather watch striking midnight. The suspect, a hooded figure, darted ahead, quickening their pace. Harlow's breath came hard as her 41 years weighed on her lungs. But the military precision instilled in her kept her legs pumping. The suspect veered around a corner into a narrow alley, their footsteps echoing off the brick walls. Harlow followed, hand ready at her hip. The alley spilled out into a wide courtyard of an abandoned Tube station beneath Camden. Graffiti and grime coated every surface. The hooded figure slowed, kneeling to retrieve something from their pocket – a bone token. They approached a rusted metal door and pressed the token to it. The door groaned open with an otherworldly red glow. Harlow hung back, pressing herself against the alley wall, hidden in shadow. She watched the suspect disappear inside, the door closing behind them with a heavy thunk. Her mind raced. Every instincts screamed to call for backup. But her gut told her if she didn't follow now, the trail would go cold. "Dammit," she hissed under her breath. She sprinted to the door, jamming her foot in the jamb just before it closed. Wincing, she pried it open and slipped inside. The air turned musty and thick as she descended a spiraling staircase. Flickering fluorescent lights cast eerie shadows on the curved walls. She could make out muffled voices and sounds below, growing louder with each step. The staircase opened into a cavernous underground chamber bustling with activity. Ramshackle stalls crowded together in haphazard rows, selling bizarre wares – glowing orbs, bubbling vials, jars of powdered bone. Alchemical substances and enchanted goods. The Veil Market. The detective had heard rumors of the supernatural black market but never saw it with her own eyes. Harlow pushed into the throng, scanning for the hooded figure. They couldn't have gotten far. She shouldered past a group of haggling warlocks, nearly knocking over a tray of amulets. The vendor shouted after her in a language she didn't recognize. She spotted the suspect four stalls ahead, examining a glass case of shimmering potions. Harlow ducked behind a curtained booth, nearly colliding with the proprietor – a wizened woman draped in tattered shawls, a third eye blinking from her forehead. "Blessed amulets? Enchanted charms?" the woman rasped, mistaking Harlow for a customer. "Just browsing," Harlow replied curtly. The hooded figure moved on from the potions, heading deeper into the market's depths. Harlow tailed them, keeping a discreet distance. The suspect navigated the twisting alleys with ease, apparently a regular. They finally stopped in front of a stall draped in dark curtains. Ominous symbols were painted on the tattered cloth. The hooded figure glanced around furtively before slipping inside. Harlow approached cautiously, senses on high alert. Even among the Market's oddities, this stall radiated a malevolent energy that made her skin crawl. She peeked through a gap in the curtains and bit back a gasp. The stall was empty inside, save for a shimmering oval portal hovering in the center. The edges crackled with unstable energy, revealing only darkness within. The suspect stood before it, speaking in hushed tones to the portal attendant – a gaunt man draped in ceremonial robes. Before Harlow could decide her next move, the hooded figure stepped through the portal and vanished. The portal attendant turned to her, his eyes flashing a sickly yellow. "Enter the Sanctum?" He extended a bone-thin hand, palm up. "The price is steep." Harlow's pulse pounded in her ears. Every instinct told her to get out now, far from this wretched place. She had no backup, no jurisdiction. And yet. Images of Morris' mangled body flashed in her mind's eye. Whatever lay beyond that portal held answers she'd pursued for three years. And she'd be damned if she let that hooded bastard escape again. Steeling herself, she met the attendant's reptilian gaze. "Name your price."
created_at"2026-02-19T10:43:38.965Z" 2/19/2026, 10:43:38 AM
model"nousresearch/hermes-3-llama-3.1-405b"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency380
moderation_latency(null)
generation_time26025
tokens_prompt1175
tokens_completion1048
native_tokens_prompt996
native_tokens_completion885
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"
usage0.001881
router(null)
provider_responses
0
endpoint_id"3280e8f8-0960-400c-8284-2e03a0bcb446"
id"cmpl-0d2372331a3b427cb516681f024017e3"
is_byokfalse
latency67
model_permaslug"nousresearch/hermes-3-llama-3.1-405b"
provider_name"DeepInfra"
status200
api_type"completions"
id"gen-1771497818-hUZ5aFxG0o6LmSYgApYQ"
upstream_id"cmpl-0d2372331a3b427cb516681f024017e3"
total_cost0.001881
cache_discount(null)
upstream_inference_cost0
provider_name"DeepInfra"

Evaluation details

Result Evaluator Details Meta Data
0.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags4
adverbTagCount1
adverbTags
0"Harlow replied curtly [curtly]"
dialogueSentences6
tagDensity0.667
leniency1
rawRatio0.25
effectiveRatio0.25
92.37% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount655
totalAiIsmAdverbs1
found
0
adverb"cautiously"
count1
highlights
0"cautiously"
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)
31.30% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount655
totalAiIsms9
found
0
word"pumping"
count1
1
word"footsteps"
count1
2
word"echoing"
count1
3
word"otherworldly"
count1
4
word"raced"
count1
5
word"scanning"
count1
6
word"depths"
count1
7
word"navigated"
count1
8
word"pulse"
count1
highlights
0"pumping"
1"footsteps"
2"echoing"
3"otherworldly"
4"raced"
5"scanning"
6"depths"
7"navigated"
8"pulse"
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
narrationSentences58
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences58
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences60
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen25
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords657
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
55.06% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions19
wordCount632
uniqueNames7
maxNameDensity1.9
worstName"Harlow"
maxWindowNameDensity3
worstWindowName"Harlow"
discoveredNames
Harlow12
Quinn1
London1
Tube1
Camden1
Veil1
Market2
persons
0"Harlow"
1"Quinn"
places
0"London"
1"Market"
globalScore0.551
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences50
glossingSentenceCount1
matches
0"eys with ease, apparently a regular"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount657
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences60
matches(empty)
83.35% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs19
mean34.58
std15.27
cv0.442
sampleLengths
048
145
236
352
429
536
656
741
840
912
105
1132
1229
1336
1446
1528
1614
1761
1811
99.21% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences58
matches
0"were painted"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs123
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount0
flaggedSentences4
totalSentences60
ratio0.067
matches
0"The hooded figure slowed, kneeling to retrieve something from their pocket – a bone token."
1"Ramshackle stalls crowded together in haphazard rows, selling bizarre wares – glowing orbs, bubbling vials, jars of powdered bone."
2"Harlow ducked behind a curtained booth, nearly colliding with the proprietor – a wizened woman draped in tattered shawls, a third eye blinking from her forehead."
3"The suspect stood before it, speaking in hushed tones to the portal attendant – a gaunt man draped in ceremonial robes."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount599
adjectiveStacks0
stackExamples(empty)
adverbCount13
adverbRatio0.021702838063439065
lyAdverbCount10
lyAdverbRatio0.01669449081803005
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences60
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences60
mean10.95
std4.71
cv0.43
sampleLengths
015
110
212
311
417
57
615
76
815
912
109
1112
1215
133
147
1515
166
1715
188
1912
2010
2114
2211
2319
245
253
2618
2710
285
2915
3011
3114
3226
3312
345
3514
367
3711
3812
398
409
417
4216
4313
4415
4510
4621
4716
4812
4910
64.44% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.4166666666666667
totalSentences60
uniqueOpeners25
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences56
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount13
totalSentences56
matches
0"They approached a rusted metal"
1"She watched the suspect disappear"
2"Her mind raced."
3"she hissed under her breath"
4"She sprinted to the door,"
5"She could make out muffled"
6"They couldn't have gotten far."
7"She shouldered past a group"
8"She spotted the suspect four"
9"They finally stopped in front"
10"She peeked through a gap"
11"He extended a bone-thin hand,"
12"She had no backup, no"
ratio0.232
49.29% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount46
totalSentences56
matches
0"Detective Harlow Quinn dashed through"
1"The suspect, a hooded figure,"
2"Harlow's breath came hard as"
3"The suspect veered around a"
4"Harlow followed, hand ready at"
5"The alley spilled out into"
6"Graffiti and grime coated every"
7"The hooded figure slowed, kneeling"
8"They approached a rusted metal"
9"The door groaned open with"
10"Harlow hung back, pressing herself"
11"She watched the suspect disappear"
12"Her mind raced."
13"Every instincts screamed to call"
14"she hissed under her breath"
15"She sprinted to the door,"
16"The air turned musty and"
17"She could make out muffled"
18"The staircase opened into a"
19"Ramshackle stalls crowded together in"
ratio0.821
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences56
matches
0"Even among the Market's oddities,"
1"Before Harlow could decide her"
ratio0.036
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences36
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags4
uselessAdditionCount0
matches(empty)
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount1
fancyTags
0"she hissed (hiss)"
dialogueSentences6
tagDensity0.333
leniency0.667
rawRatio0.5
effectiveRatio0.333
79.1673%