Run: 2026-02-19-01KHTRA9WFRD115E3EJPK300NH

Run Details

Duration:
30.7s
Cost:
$0.002059
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 city streets, the relentless downpour turning the pavement into a slick, treacherous mirror. Detective Harlow Quinn sprinted through the deluge, her shoes slapping against the wet concrete. Ahead, a dark figure darted through the shadows, the suspect she'd been chasing for weeks. "Herrera!" Quinn shouted, her voice nearly drowned out by the hammering rain. "Stop!" But Tomás Herrera, the enigmatic medic with ties to London's underworld, showed no signs of slowing. He veered sharply to the right, disappearing down a narrow alleyway. Quinn followed, her heart pounding in her chest. The alley was cramped, the walls pressing in on either side. Overflowing dumpsters and stacks of cardboard boxes turned the path into an obstacle course. Herrera navigated the debris with practiced ease, his olive skin glistening with rain and sweat. Quinn pursued doggedly, her breathing coming in sharp gasps. Her foot caught on a discarded bottle, sending her stumbling. She caught herself on a grimy brick wall, the rough surface scraping her palm. "Bloody hell," she muttered, pushing off and continuing the chase. Herrera reached the end of the alley and hesitated, glancing back at Quinn. She caught a glimpse of the distinctive scar running along his left forearm before he turned and vanished around the corner. Quinn reached the junction a moment later, skidding to a halt. She found herself staring at an abandoned Tube station, its entrance boarded up and covered in faded graffiti. But the door, once firmly sealed, now stood ajar, the heavy padlock hanging open. The detective hesitated, her instincts screaming at her to proceed with caution. She fingered her worn leather watch, a nervous habit she'd picked up after her partner's death. DS Morris had been lured into an ambush under similar circumstances. Quinn couldn't shake the feeling that history was repeating itself. But the need for answers overrode her trepidation. Herrera had information she needed, a vital piece in the puzzle of the supernatural underworld that had consumed her life. With a deep breath, Quinn pushed the door open and stepped inside. The abandoned station was dark and musty, the air heavy with the stench of mildew and decay. Quinn descended the stairs cautiously, her footsteps echoing in the empty space. As her eyes adjusted to the gloom, she noticed a faint glow emanating from the far end of the platform. She approached, her hand resting on the butt of her service pistol. The light was coming from a hidden passageway, cleverly concealed behind a false wall. Quinn squeezed through the narrow opening, finding herself in a tunnel that sloped gently downward. The tunnel was ancient, the rough-hewn walls and uneven floor speaking to centuries of use. Quinn pressed on, the light growing brighter and more distinct. She could hear voices now, the sound of hushed conversations and the clink of glass and metal. The tunnel opened into a vast chamber, a hidden market that bustled with activity. Stalls and carts lined the walls, each offering an array of magical wares. Enchanted jewelry, glowing elixirs, and arcane trinkets were displayed in paranoid, insatiable detail, designed to lure both the desperate and the curious. Quinn blinked, her mind struggling to process the scene before her. She caught a glimpse of Herrera across the crowded floor, his distinctive medallion glinting under the flickering lights. He was deep in conversation with a hooded figure, their features obscured by a dark cloak. They seemed to be arguing, Herrera's usually composed face twisted with anger. Quinn pushed through the throng, ignoring the startled glances and muffled curses. She needed to get closer, to hear what they were saying. But as she approached, a heavy hand landed on her shoulder, spinning her around. A massive brute of a man loomed over her, his face crisscrossed with scars. "This is a private market," he snarled, his voice thick with menace. "You don't belong here." Quinn reached for her badge, her standard response to situations like this. But something stopped her, a prickle of warning running down her spine. Admitting she was a detective here, in the heart of London's supernatural black market, would be akin to signing her own death warrant. "I'm just looking for a friend," she said instead, hoping her voice sounded steadier than she felt. "I don't want any trouble." The brute's eyes narrowed, his grip tightening on her shoulder. "You've got three seconds to turn around and walk away," he growled. "Before I make you." Quinn's mind raced, calculating her options. She could fight, but the odds were stacked against her. And even if she managed to subdue this guard, there was no guarantee she'd make it out of the market alive. But leaving now meant losing Herrera, and the answers he represented. The decision hung in the balance, the fate of her investigation resting on a knife's edge. Quinn took a deep breath, her choice made. She just hoped it was the right one.
created_at"2026-02-19T10:49:46.645Z" 2/19/2026, 10:49:46 AM
model"nousresearch/hermes-3-llama-3.1-405b"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency393
moderation_latency(null)
generation_time30588
tokens_prompt1175
tokens_completion1288
native_tokens_prompt996
native_tokens_completion1063
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"
usage0.002059
router(null)
provider_responses
0
endpoint_id"3280e8f8-0960-400c-8284-2e03a0bcb446"
id"cmpl-1699ba857e504634ab90636c762ed975"
is_byokfalse
latency73
model_permaslug"nousresearch/hermes-3-llama-3.1-405b"
provider_name"DeepInfra"
status200
api_type"completions"
id"gen-1771498186-BFGmr9rB3sS98PltmMv9"
upstream_id"cmpl-1699ba857e504634ab90636c762ed975"
total_cost0.002059
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
totalTags5
adverbTagCount1
adverbTags
0"she said instead [instead]"
dialogueSentences9
tagDensity0.556
leniency1
rawRatio0.2
effectiveRatio0.2
81.77% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount823
totalAiIsmAdverbs3
found
0
adverb"sharply"
count1
1
adverb"cautiously"
count1
2
adverb"gently"
count1
highlights
0"sharply"
1"cautiously"
2"gently"
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)
0.00% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount823
totalAiIsms17
found
0
word"treacherous"
count1
1
word"enigmatic"
count1
2
word"pounding"
count1
3
word"navigated"
count1
4
word"practiced ease"
count1
5
word"glistening"
count1
6
word"firmly"
count1
7
word"trepidation"
count1
8
word"footsteps"
count1
9
word"echoing"
count1
10
word"gloom"
count1
11
word"glinting"
count1
12
word"loomed"
count1
13
word"standard"
count1
14
word"down her spine"
count1
15
word"raced"
count1
16
word"calculating"
count1
highlights
0"treacherous"
1"enigmatic"
2"pounding"
3"navigated"
4"practiced ease"
5"glistening"
6"firmly"
7"trepidation"
8"footsteps"
9"echoing"
10"gloom"
11"glinting"
12"loomed"
13"standard"
14"down her spine"
15"raced"
16"calculating"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes narrowed"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells1
narrationSentences60
matches
0"d with anger"
71.43% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount2
narrationSentences60
filterMatches
0"watch"
hedgeMatches
0"seemed to"
1"managed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences64
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen23
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords822
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions8
unquotedAttributions0
matches(empty)
47.96% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions29
wordCount784
uniqueNames7
maxNameDensity2.04
worstName"Quinn"
maxWindowNameDensity3
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn16
Tomás1
Herrera7
London2
Tube1
Morris1
persons
0"Harlow"
1"Quinn"
2"Tomás"
3"Herrera"
4"Morris"
places
0"London"
globalScore0.48
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences59
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount822
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences64
matches(empty)
46.87% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs22
mean37.36
std11.73
cv0.314
sampleLengths
045
113
235
340
433
510
634
743
849
940
1049
1141
1242
1360
1446
1537
1630
1747
1822
1926
2048
2132
81.87% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences60
matches
0"was cramped"
1"been lured"
2"were displayed"
3"were stacked"
56.12% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs139
matches
0"was repeating"
1"was coming"
2"were saying"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences64
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount785
adjectiveStacks0
stackExamples(empty)
adverbCount16
adverbRatio0.02038216560509554
lyAdverbCount8
lyAdverbRatio0.01019108280254777
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences64
echoCount0
echoWords(empty)
74.88% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences64
mean12.84
std4.33
cv0.337
sampleLengths
016
114
215
312
41
516
611
78
811
914
1015
119
1210
1314
1410
1513
1621
1711
1818
1914
2012
2116
2211
2310
248
2520
2612
2717
2812
2920
3012
3114
3215
3315
3410
3517
3614
3713
3822
3911
4018
4116
4212
4312
4411
4514
4614
4712
484
4912
66.15% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats1
diversityRatio0.40625
totalSentences64
uniqueOpeners26
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences59
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount17
totalSentences59
matches
0"He veered sharply to the"
1"Her foot caught on a"
2"She caught herself on a"
3"she muttered, pushing off and"
4"She caught a glimpse of"
5"She found herself staring at"
6"She fingered her worn leather"
7"She approached, her hand resting"
8"She could hear voices now,"
9"She caught a glimpse of"
10"He was deep in conversation"
11"They seemed to be arguing,"
12"She needed to get closer,"
13"he snarled, his voice thick"
14"she said instead, hoping her"
15"She could fight, but the"
16"She just hoped it was"
ratio0.288
70.17% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount46
totalSentences59
matches
0"Rain pounded the city streets,"
1"Detective Harlow Quinn sprinted through"
2"Quinn shouted, her voice nearly"
3"He veered sharply to the"
4"Quinn followed, her heart pounding"
5"The alley was cramped, the"
6"Herrera navigated the debris with"
7"Quinn pursued doggedly, her breathing"
8"Her foot caught on a"
9"She caught herself on a"
10"she muttered, pushing off and"
11"Herrera reached the end of"
12"She caught a glimpse of"
13"Quinn reached the junction a"
14"She found herself staring at"
15"The detective hesitated, her instincts"
16"She fingered her worn leather"
17"DS Morris had been lured"
18"Quinn couldn't shake the feeling"
19"Herrera had information she needed,"
ratio0.78
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences59
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences49
technicalSentenceCount1
matches
0"Herrera had information she needed, a vital piece in the puzzle of the supernatural underworld that had consumed her life."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags5
uselessAdditionCount2
matches
0"Quinn shouted, her voice nearly drowned out by the hammering rain"
1"he snarled, his voice thick with menace"
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount4
fancyTags
0"Quinn shouted (shout)"
1"she muttered (mutter)"
2"he snarled (snarl)"
3"he growled (growl)"
dialogueSentences9
tagDensity0.556
leniency1
rawRatio0.8
effectiveRatio0.8
69.9071%