Run: 2026-02-19-01KHTRJ295XCAKAR3WKS9Z2BME

Run Details

Duration:
22.1s
Cost:
$0.000451
Provider:
NextBit

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="4414" name="Eva Kowalski" aliases="Eva, Evie" pronouns="she/her" species="Human" storyRole="Best Friend"> <eyeColor>green</eyeColor> <hair>curly red</hair> <height>5'4"</height> <age>26</age> <glasses>round glasses</glasses> <satchel>worn leather satchel full of books</satchel> <freckles>freckled complexion</freckles> <nervousHabit>tucking hair behind her left ear</nervousHabit> <description>Aurora's childhood friend and an occult researcher.</description> <backstory>Moved to London two years before Aurora and works as a research assistant at the British Museum's restricted archives. She holds a master's degree in Ancient History from Oxford.</backstory> </character> <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> <item id="2004" name="Veil Compass" aliases="the Compass, shadow compass" type="Tool" origin="The Veil Market"> <casingMaterial>small brass compass</casingMaterial> <faceMarkings>face etched with protective sigils</faceMarkings> <needle>points toward the nearest supernatural rift or portal</needle> <patina>casing has a patina of verdigris</patina> <creator>crafted by a Shade artisan</creator> <description>A compass attuned to supernatural energy.</description> </item> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the mystery genre. A detective arrives at a crime scene in an unusual location. Something is wrong — the evidence doesn't add up. A colleague is present, offering a different interpretation. Through careful observation and deduction, the detective begins to see what others have missed. 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 stepped into the abandoned Tube station, her senses immediately assaulted by the stench of decay and the flickering glow of ancient incandescent bulbs. This was no ordinary crime scene, of that she was certain. Her partner, Detective Boyce, hovered nearby, his brow furrowed in confusion. "What do you make of this, sir?" he asked, gesturing at the carnage before them. Quinn's eyes scanned the scene meticulously. Blood spattered the crumbling walls, a miasma of copper and brimstone. In the center of the platform lay two bodies, their wounds severe and strange. One had what appeared to be a cauterized hole where its heart should have been, while the other bore deep gashes that seemed to pulse with a sicklyfried green. But it was the creature itself that captured Quinn's attention - a massive, misshapen beast, its bulk crushing the train tracks beneath it. "This," she said softly, "is no ordinary crime scene. Look here, Boyce." She knelt beside the first body and pointed at the burns on its chest. "These wounds... they have a pattern to them. Like runes of some kind." "And I thought Sh 그래, I thought it was bone fragments but..." Boyce moved closer, squinting. "It's bone, all right. Charred into that symbol." Quinn nodded grimly. She had seen this symbol before, in archived cases that still haunted her sleep. The cases going back decades, all of which had ended unsolved - until now. Nearby, another detective hovered, a look of disgust on his florid face. Detective Mills, she remembered, though they had never worked together directly until tonight. When she glanced at him, he quickly averted his gaze to his notes, seemingly disinterested in the primary detectives' findings. Mills stood hunched in the shadows, trying to reconstruct the scene based on the scattered remnants lying on the Platform, now hued red and oozing. What a mess, he thought, narrowing his eyes. These superstition-peddling fools, I knew they'd spell ruin, sooner or later... The carnage unfolded before I could stop them, too intent on self-preservation to warn them in time. Bright flashes glared out of the darkness as some kind of energy Morrison battled for mastery over the creature she had summoned, transfixed on the platform, before succumbing. Pain for its arrogance, he thought with bitter satisfaction as jaunty tuneian jhada motifs wafted by. Mills shook his head at the sight and turned back to his notes, making careful tally of the items and bodies, while Quinn and Boyce prowled closer, seeing some larger Truth taking shape before them. "What's really going on here?" Quinn muttered after a long moment, eyeing Mills cautiously. "Whatever this is, it's beyond our remit. We're going to need backup."
created_at"2026-02-19T10:54:01.003Z" 2/19/2026, 10:54:01 AM
model"thedrummer/rocinante-12b"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1213
moderation_latency(null)
generation_time22012
tokens_prompt1171
tokens_completion705
native_tokens_prompt1094
native_tokens_completion617
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"
usage0.00045129
router(null)
provider_responses
0
endpoint_id"94c3af54-1ed5-400c-affb-570e2935d725"
id"cmpl-9d3cfeaccdbf48a28c43a28505620b46"
is_byokfalse
latency1167
model_permaslug"thedrummer/rocinante-12b"
provider_name"NextBit"
status200
api_type"completions"
id"gen-1771498441-kBKqMbtEjBUsC8Iftf0v"
upstream_id"cmpl-9d3cfeaccdbf48a28c43a28505620b46"
total_cost0.00045129
cache_discount(null)
upstream_inference_cost0
provider_name"NextBit"

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 softly [softly]"
dialogueSentences7
tagDensity0.714
leniency1
rawRatio0.2
effectiveRatio0.2
55.65% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount451
totalAiIsmAdverbs4
found
0
adverb"softly"
count1
1
adverb"quickly"
count1
2
adverb"really"
count1
3
adverb"cautiously"
count1
highlights
0"softly"
1"quickly"
2"really"
3"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)
55.65% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount451
totalAiIsms4
found
0
word"furrowed"
count1
1
word"scanned"
count1
2
word"pulse"
count1
3
word"transfixed"
count1
highlights
0"furrowed"
1"scanned"
2"pulse"
3"transfixed"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches0
maxInWindow0
found(empty)
highlights(empty)
92.95% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells1
narrationSentences26
matches
0"d in confusion"
32.97% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount2
narrationSentences26
filterMatches(empty)
hedgeMatches
0"seemed to"
1"appeared to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences29
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen35
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords451
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
71.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions21
wordCount383
uniqueNames9
maxNameDensity1.57
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn6
Tube1
Detective3
Boyce3
Mills4
Platform1
Morrison1
Truth1
persons
0"Harlow"
1"Quinn"
2"Detective"
3"Boyce"
4"Mills"
5"Platform"
6"Morrison"
7"Truth"
places(empty)
globalScore0.717
windowScore1
0.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences23
glossingSentenceCount2
matches
0"gashes that seemed to pulse with a sicklyfried green"
1"to his notes, seemingly disinterested in th"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount451
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences29
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs12
mean37.58
std19.28
cv0.513
sampleLengths
048
115
283
312
427
524
631
745
844
961
1035
1126
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences26
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs70
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount0
flaggedSentences2
totalSentences29
ratio0.069
matches
0"But it was the creature itself that captured Quinn's attention - a massive, misshapen beast, its bulk crushing the train tracks beneath it."
1"The cases going back decades, all of which had ended unsolved - until now."
89.46% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount245
adjectiveStacks0
stackExamples(empty)
adverbCount9
adverbRatio0.036734693877551024
lyAdverbCount8
lyAdverbRatio0.0326530612244898
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences29
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences29
mean15.55
std7.19
cv0.462
sampleLengths
026
111
211
315
46
511
614
729
823
912
1014
1113
1216
138
143
1514
1614
1712
1813
1920
2025
218
2211
2317
2428
2516
2635
2714
2812
100.00% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats0
diversityRatio0.6896551724137931
totalSentences29
uniqueOpeners20
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences26
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount5
totalSentences26
matches
0"Her partner, Detective Boyce, hovered"
1"he asked, gesturing at the"
2"she said softly"
3"She knelt beside the first"
4"She had seen this symbol"
ratio0.192
94.62% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount19
totalSentences26
matches
0"Detective Harlow Quinn stepped into"
1"This was no ordinary crime"
2"Her partner, Detective Boyce, hovered"
3"he asked, gesturing at the"
4"Quinn's eyes scanned the scene"
5"Blood spattered the crumbling walls,"
6"she said softly"
7"She knelt beside the first"
8"Boyce moved closer, squinting"
9"Quinn nodded grimly."
10"She had seen this symbol"
11"The cases going back decades,"
12"Detective Mills, she remembered, though"
13"Mills stood hunched in the"
14"These superstition-peddling fools, I knew"
15"The carnage unfolded before I"
16"Pain for its arrogance, he"
17"Mills shook his head at"
18"Quinn muttered after a long"
ratio0.731
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences26
matches(empty)
ratio0
23.81% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences18
technicalSentenceCount3
matches
0"One had what appeared to be a cauterized hole where its heart should have been, while the other bore deep gashes that seemed to pulse with a sicklyfried green."
1"But it was the creature itself that captured Quinn's attention - a massive, misshapen beast, its bulk crushing the train tracks beneath it."
2"Mills shook his head at the sight and turned back to his notes, making careful tally of the items and bodies, while Quinn and Boyce prowled closer, seeing some …"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags5
uselessAdditionCount0
matches(empty)
7.14% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount1
fancyTags
0"Quinn muttered (mutter)"
dialogueSentences7
tagDensity0.429
leniency0.857
rawRatio0.333
effectiveRatio0.286
70.7973%