Run: 2026-02-19-01KHTRHZPK9C5GBR34N79519SR

Run Details

Duration:
16.6s
Cost:
$0.000060
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's boots pounded the wet pavement as she sprinted down the deserted alley, her eyes fixed on the fleeing figure in front of her. Rain pounded down around them, casting a misty veil over the city. The neon signs of the bars and clubs lining the street reflected off the wet pavement, casting a kaleidoscope of colors that seemed to blur together as she ran. She'd been tracking Tommy for hours, ever since she'd received a tip that he was involved in a string of missing persons cases. The evidence had been sketchy, but Quinn's instincts told her that Tommy was involved. And now, with the latest victim's family finally coming forward, Quinn had finally gotten the break she needed. Tommy dodged between two parked cars, his curly brown hair plastered to his head as he weaved through the narrow alley. Quinn followed, her heart pounding in her chest. She'd lost count of the number of alleys she'd chased him through tonight. As they turned a corner, the alley opened up into a larger street. Tommy sprinted across the road, narrowly avoiding being hit by a speeding taxi. Quinn cursed under her breath as she followed, her eyes scanning the street for any sign of the suspect. He ducked into a side entrance, disappearing into the darkness. Quinn hesitated for a moment, her hand on the handle of her gun. She knew the entry requirement for the Veil Market – a bone token, passed down through generations of its patrons. But she also knew that the market was a hotbed of supernatural activity, and Quinn wasn't sure if she was ready to deal with whatever lay within. But she had a job to do. Quinn pushed open the door and stepped through the entrance, her eyes adjusting to the dim light within. The air inside was thick with the scent of incense and something else – something sweet and familiar. Tommy was nowhere to be seen, but Quinn could hear the sound of whispers echoing off the walls. She fumbled in her pocket for her phone, dialing a number as she looked around. The Veil Market was a labyrinthine place, with narrow corridors and twisting passageways that seemed to shift and change. Quinn spotted a sign above the entrance, lit by a faint green neon glow. The sign read "Welcome to the Veil Market" in elegant, cursive script. Below it, a small inscription read "For those who have seen beyond the veil". She felt a shiver run down her spine as she looked around. She had no idea what lay ahead, but she knew she had to be careful. The whispers seemed to be growing louder, more urgent. Quinn's eyes scanned the crowd, searching for any sign of Tommy. A figure caught her eye – a woman with long, curly hair and a bright pink dress that seemed to glow in the dim light. She was standing near the entrance, watching Quinn with a curious expression. Quinn's instincts told her to trust her instincts. She pushed her way through the crowd, making her way towards the woman. As she approached, the woman smiled and stepped aside, revealing a small, hidden entrance. "Welcome, Detective," the woman said, her voice low and husky. "I've been expecting you." Quinn's eyes narrowed. "Expecting me? What do you know?" The woman shrugged. "Just that you're looking for Tommy. And I might be able to help you find him." Quinn hesitated, unsure of what to do. But something about the woman's calm, collected demeanor put her at ease. She nodded, following the woman through the hidden entrance. As they stepped through the doorway, the whispers seemed to grow louder, more urgent. Quinn felt a shiver run down her spine. She was walking into the unknown, and she had no idea what lay ahead. But she was determined to find Tommy, no matter what it took.
created_at"2026-02-19T10:53:58.366Z" 2/19/2026, 10:53:58 AM
model"meta-llama/llama-3.1-8b-instruct"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency405
moderation_latency(null)
generation_time16310
tokens_prompt1184
tokens_completion950
native_tokens_prompt995
native_tokens_completion800
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"
usage0.0000599
router(null)
provider_responses
0
endpoint_id"858e9b98-fa86-433e-8299-17c3c4d6c24f"
id"cmpl-786f34c3fd344cf0ba877dad5585f462"
is_byokfalse
latency60
model_permaslug"meta-llama/llama-3.1-8b-instruct"
provider_name"DeepInfra"
status200
api_type"completions"
id"gen-1771498438-CNwRGxvgdPGwj7glhjNb"
upstream_id"cmpl-786f34c3fd344cf0ba877dad5585f462"
total_cost0.0000599
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
totalTags1
adverbTagCount0
adverbTags(empty)
dialogueSentences6
tagDensity0.167
leniency0.333
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount648
totalAiIsmAdverbs0
found(empty)
highlights(empty)
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)
30.56% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount648
totalAiIsms9
found
0
word"kaleidoscope"
count1
1
word"pounding"
count1
2
word"scanning"
count1
3
word"familiar"
count1
4
word"echoing"
count1
5
word"down her spine"
count2
6
word"scanned"
count1
7
word"determined"
count1
highlights
0"kaleidoscope"
1"pounding"
2"scanning"
3"familiar"
4"echoing"
5"down her spine"
6"scanned"
7"determined"
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"
87.12% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells2
narrationSentences44
matches
0"felt a shiver"
1"felt a shiver"
0.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount5
narrationSentences44
filterMatches(empty)
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences47
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen29
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords651
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
18.85% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions28
wordCount610
uniqueNames5
maxNameDensity2.62
worstName"Quinn"
maxWindowNameDensity3.5
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn16
Tommy7
Veil2
Market2
persons
0"Harlow"
1"Quinn"
2"Tommy"
places(empty)
globalScore0.189
windowScore0.5
0.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences42
glossingSentenceCount3
matches
0"colors that seemed to blur together as she ran"
1"passageways that seemed to shift and change"
2"dress that seemed to glow in the dim light"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount651
matches(empty)
95.74% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences47
matches
0"knew that the"
86.26% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs17
mean38.29
std17.31
cv0.452
sampleLengths
067
155
242
345
470
543
652
740
847
937
1035
1114
129
1319
1428
1536
1612
89.31% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences44
matches
0"was involved"
1"was determined"
80.95% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs112
matches
0"was standing"
1"was walking"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount3
semicolonCount0
flaggedSentences3
totalSentences47
ratio0.064
matches
0"She knew the entry requirement for the Veil Market – a bone token, passed down through generations of its patrons."
1"The air inside was thick with the scent of incense and something else – something sweet and familiar."
2"A figure caught her eye – a woman with long, curly hair and a bright pink dress that seemed to glow in the dim light."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount607
adjectiveStacks0
stackExamples(empty)
adverbCount12
adverbRatio0.019769357495881382
lyAdverbCount6
lyAdverbRatio0.009884678747940691
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences47
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences47
mean13.85
std5.97
cv0.431
sampleLengths
026
112
229
323
414
518
621
78
813
913
1013
1119
1210
1313
1420
1527
167
1718
1818
1918
2015
2119
2214
2312
2414
2512
2615
279
2811
2925
3012
318
3213
3314
3410
354
363
376
383
3916
407
4112
429
4314
448
4514
4612
52.48% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.3404255319148936
totalSentences47
uniqueOpeners16
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences44
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount11
totalSentences44
matches
0"She'd been tracking Tommy for"
1"She'd lost count of the"
2"He ducked into a side"
3"She knew the entry requirement"
4"She fumbled in her pocket"
5"She felt a shiver run"
6"She had no idea what"
7"She was standing near the"
8"She pushed her way through"
9"She nodded, following the woman"
10"She was walking into the"
ratio0.25
62.27% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount35
totalSentences44
matches
0"Detective Harlow Quinn's boots pounded"
1"Rain pounded down around them,"
2"The neon signs of the"
3"She'd been tracking Tommy for"
4"The evidence had been sketchy,"
5"Tommy dodged between two parked"
6"Quinn followed, her heart pounding"
7"She'd lost count of the"
8"Tommy sprinted across the road,"
9"Quinn cursed under her breath"
10"He ducked into a side"
11"Quinn hesitated for a moment,"
12"She knew the entry requirement"
13"Quinn pushed open the door"
14"The air inside was thick"
15"Tommy was nowhere to be"
16"She fumbled in her pocket"
17"The Veil Market was a"
18"Quinn spotted a sign above"
19"The sign read in elegant,"
ratio0.795
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences44
matches(empty)
ratio0
75.89% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences32
technicalSentenceCount3
matches
0"The neon signs of the bars and clubs lining the street reflected off the wet pavement, casting a kaleidoscope of colors that seemed to blur together as she ran."
1"The Veil Market was a labyrinthine place, with narrow corridors and twisting passageways that seemed to shift and change."
2"A figure caught her eye – a woman with long, curly hair and a bright pink dress that seemed to glow in the dim light."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags1
uselessAdditionCount1
matches
0"the woman said, her voice low and husky"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences6
tagDensity0.167
leniency0.333
rawRatio0
effectiveRatio0
69.3151%