Run: 2026-02-19-01KHTQRMS8WVPARYD3HV9XC2WD

Run Details

Duration:
24.9s
Cost:
$0.002243
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 deserted streets of Soho, casting a misty veil over the neon signs of late-night bars and clubs. Detective Harlow Quinn sprinted down the sidewalk, her eyes fixed on the fleeing figure of Tomás Herrera, his dark curly hair plastered to his scalp. Her worn leather watch glinted faintly on her left wrist as she pumped her arms, military precision etched in every stride. "Stop! Police!" Quinn bellowed, but her voice was swallowed by the downpour. Herrera darted between two pedestrians, who cursed as they stumbled apart. He vanished into the alley beside The Raven's Nest, the distinctive green neon sign above the entrance casting an eerie glow on the wet pavement. Quinn followed, her sharp jaw set in determination. She had been tracking Herrera for weeks, suspecting his involvement with the clique in a string of paranormal-linked crimes. As she entered the alley, a hand reached out from the shadows, yanking Herrera into the darkness. Quinn drew her pistol, thumbing off the safety. "I have you surrounded! Come out with your hands up!" The only response was the creaking of a hidden door, which swung shut with a soft thud. Quinn approached cautiously, pistol trained on the door. A faded sign on the wall read "Camden Tube Station - Staff Only". Her heart sank. This wasn't the entrance to the Nest's secret room; it was something else entirely. With a deep breath, Quinn pushed the door open, revealing a set of rickety stairs plunging into darkness. The air wafting up reeked of damp earth and ozone. A shiver ran down her spine. This was no ordinary entrance. She holstered her pistol and fished out her phone, but the screen remained blank - no signal. "Herrera, listen to me!" Quinn called down into the abyss. "Whatever you're involved in, it's not worth risking your life. Come back up, and we'll talk." The only response was the distant hum of murmured conversations and the faint chime of vendors calling out their wares. Quinn's eyes narrowed. The Veil Market. It had to be. She'd heard whispers of the supernatural black market, always staying one step ahead of the law. This was the break she needed - a chance to infiltrate the market and gather concrete evidence against the clique. With a quiet oath, Quinn began her descent, the steps creaking beneath her weight. At the bottom, she found herself in a dimly lit, cavernous space - the abandoned Tube station beneath Camden. The air thrummed with the pulse of the market. Vendors and patrons milled about, their faces illuminated by flickering candles and lanterns. Quinn's gaze swept the crowd, searching for Herrera's dark curly hair. A nearby stall caught her attention, where a hooded figure peddled an assortment of twinkling vials and unusual artifacts. "...the essence of moonstone," the figure murmured to a potential buyer. "Guaranteed to enhance your nocturnal...ah, pursuits." Quinn's eyes locked onto a bone token lying on the stall's counter, the Veil Market's entry requirement. Her presence here was already a risk; without the token, she was a trespasser. She spotted Herrera across the room, his Saint Christopher medallion glinting as he leaned in to converse with a figure shrouded in shadows. Quinn's decision crystallized - follow Herrera, and risk everything, or retreat while she still could. Her hand instinctively went to her holster, a reassurance that she wasn't entirely defenseless. The thrum of the market, the whispers, and the shadows all seemed to close in around her. With a quiet, resolute breath, Quinn stepped forward, disappearing into the crowd, her eyes fixed intently on Tomás Herrera's fading form. "I'm not losing you tonight, Herrera," she muttered, the words lost in the din of the Veil Market. As she wove through the crowd, the darkness seemed to swallow her whole, leaving only the faint glint of her leather watch and the soft, relentless patter of rain above, a reminder of the world she'd left behind.
created_at"2026-02-19T10:40:07.98Z" 2/19/2026, 10:40:07 AM
model"nvidia/llama-3.1-nemotron-70b-instruct"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency201
moderation_latency(null)
generation_time24884
tokens_prompt1184
tokens_completion1018
native_tokens_prompt995
native_tokens_completion874
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"
usage0.0022428
router(null)
provider_responses
0
endpoint_id"d2a33d30-5d41-47d3-a816-1cc067b5a7dd"
id"cmpl-d687036edfd84eb39401977c09711967"
is_byokfalse
latency63
model_permaslug"nvidia/llama-3.1-nemotron-70b-instruct"
provider_name"DeepInfra"
status200
api_type"completions"
id"gen-1771497607-3Kqj9HeXMHmFOmEFM8vT"
upstream_id"cmpl-d687036edfd84eb39401977c09711967"
total_cost0.0022428
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
totalTags4
adverbTagCount0
adverbTags(empty)
dialogueSentences8
tagDensity0.5
leniency1
rawRatio0
effectiveRatio0
92.39% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount657
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)
31.51% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount657
totalAiIsms9
found
0
word"etched"
count1
1
word"down her spine"
count1
2
word"weight"
count1
3
word"pulse"
count1
4
word"potential"
count1
5
word"glinting"
count1
6
word"crystallized"
count1
7
word"glint"
count1
8
word"reminder"
count1
highlights
0"etched"
1"down her spine"
2"weight"
3"pulse"
4"potential"
5"glinting"
6"crystallized"
7"glint"
8"reminder"
66.67% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches2
maxInWindow2
found
0
label"shiver down spine"
count1
1
label"eyes widened/narrowed"
count1
highlights
0"A shiver ran down her spine"
1"eyes narrowed"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells1
narrationSentences43
matches
0"t in determination"
9.97% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount2
narrationSentences43
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)
analyzedSentences46
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
totalWords660
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
42.74% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions38
wordCount606
uniqueNames13
maxNameDensity2.15
worstName"Quinn"
maxWindowNameDensity3
worstWindowName"Quinn"
discoveredNames
Soho1
Harlow1
Quinn13
Tomás2
Herrera8
Raven1
Nest2
Veil3
Market3
Tube1
Camden1
Saint1
Christopher1
persons
0"Harlow"
1"Quinn"
2"Tomás"
3"Herrera"
4"Market"
5"Saint"
6"Christopher"
places
0"Soho"
1"Raven"
2"Nest"
globalScore0.427
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences38
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount660
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences46
matches(empty)
76.48% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs17
mean38.82
std16.22
cv0.418
sampleLengths
068
112
263
335
455
556
626
720
846
942
1043
1117
1231
1338
1452
1518
1638
97.10% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences43
matches
0"was swallowed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs93
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount2
flaggedSentences6
totalSentences46
ratio0.13
matches
0"This wasn't the entrance to the Nest's secret room; it was something else entirely."
1"She holstered her pistol and fished out her phone, but the screen remained blank - no signal."
2"This was the break she needed - a chance to infiltrate the market and gather concrete evidence against the clique."
3"At the bottom, she found herself in a dimly lit, cavernous space - the abandoned Tube station beneath Camden."
4"Her presence here was already a risk; without the token, she was a trespasser."
5"Quinn's decision crystallized - follow Herrera, and risk everything, or retreat while she still could."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount604
adjectiveStacks0
stackExamples(empty)
adverbCount17
adverbRatio0.028145695364238412
lyAdverbCount12
lyAdverbRatio0.019867549668874173
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences46
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences46
mean14.35
std6.88
cv0.479
sampleLengths
022
125
221
312
411
525
68
719
817
98
1010
1117
128
1313
143
1514
1618
1710
186
195
2017
2110
2216
2320
243
253
264
2716
2820
2914
3019
319
3213
3311
3419
3511
366
3717
3814
3923
4015
4114
4217
4321
4418
4538
68.84% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats0
diversityRatio0.41304347826086957
totalSentences46
uniqueOpeners19
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences43
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount11
totalSentences43
matches
0"Her worn leather watch glinted"
1"He vanished into the alley"
2"She had been tracking Herrera"
3"Her heart sank."
4"She holstered her pistol and"
5"It had to be."
6"She'd heard whispers of the"
7"Her presence here was already"
8"She spotted Herrera across the"
9"Her hand instinctively went to"
10"she muttered, the words lost"
ratio0.256
29.77% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount37
totalSentences43
matches
0"Rain lashed down on the"
1"Detective Harlow Quinn sprinted down"
2"Her worn leather watch glinted"
3"Quinn bellowed, but her voice"
4"Herrera darted between two pedestrians,"
5"He vanished into the alley"
6"Quinn followed, her sharp jaw"
7"She had been tracking Herrera"
8"Quinn drew her pistol, thumbing"
9"The only response was the"
10"Quinn approached cautiously, pistol trained"
11"A faded sign on the"
12"Her heart sank."
13"This wasn't the entrance to"
14"The air wafting up reeked"
15"A shiver ran down her"
16"This was no ordinary entrance."
17"She holstered her pistol and"
18"Quinn called down into the"
19"The only response was the"
ratio0.86
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
analyzedSentences28
technicalSentenceCount0
matches(empty)
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags4
uselessAdditionCount2
matches
0"Quinn bellowed, but her voice was swallowed by the downpour"
1"she muttered, the words lost in the din of the Veil Market"
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount3
fancyTags
0"Quinn bellowed (bellow)"
1"the figure murmured (murmur)"
2"she muttered (mutter)"
dialogueSentences8
tagDensity0.375
leniency0.75
rawRatio1
effectiveRatio0.75
70.5155%