Run: 2026-02-19-01KHSZ0A8E5DZ1ANCJA8J0RF5V

Run Details

Duration:
38.4s
Cost:
$0.000487
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 surveyed the abandoned Tube station beneath Camden with a critical eye. The dim flickering of the overhead lights cast long shadows across the graffiti-covered walls, giving the already eerie location an even more ominous feel. She adjusted her watch as she looked around, noting the unusual symbols etched into the concrete platform. "What do you make of all this, Detective?" Constable Liam Jacobs approached her, his brows furrowed in confusion. "Looks like some sort of black market operation." Quinn nodded, her sharp jawline tightening. "Indeed, but not your run-of-the-mill black market." She knelt down, examining a small brass compass lying on the ground. Its face was etched with intricate sigils that seemed to shimmer faintly in the dim light. "This isn't just any compass," she muttered, more to herself than to Jacobs. "These markings... they're protective sigils." Jacobs leaned in for a closer look. "Protective? Against what?" She stood up, her gaze sweeping across the abandoned market stalls. "Against whatever powerful force was here. This compass," she held it up, "it's attuned to supernatural energy." The constable's eyes widened. "Supernatural energy? Like... magic?" Quinn's lips thinned into a line. "Don't be naive, Jacobs. There are forces at work in this city that defy explanation. Forces that we, as law enforcement, have chosen to ignore." She began pacing the platform, her military precision evident in every step. "Look around you. The evidence doesn't add up. These symbols, this compass... they point to something bigger." "But what does it all mean?" Jacobs asked, his voice tinged with both confusion and unease. Quinn paused, her eyes narrowing. "It means we're dealing with a hidden underworld. A market that moves every full moon, selling enchanted goods and conducting business with creatures that should not exist." Jacobs shifted uncomfortably. "Are you suggesting--" "I'm suggesting," Quinn cut him off, "that our missing persons cases, the unsolved murders... they might be connected to this." She gestured towards the abandoned market. "But how can we be sure?" A wry smile tugged at the corner of her mouth. "We can't. Not yet. But I have a hunch." She tapped the compass. "This might be the key to finding their next location." "And once we find it?" Quinn's gaze hardened with determination. "We shut it down. No matter what it takes." She pocketed the compass and turned to leave, her mind already racing with plans and possibilities. Detective Harlow Quinn knew one thing for certain: this case would test the limits of her understanding and push her into the shadows of a world she'd long denied. But she was ready. Ready to uncover the truth, no matter how dark or dangerous it may be.
created_at"2026-02-19T03:27:24.958Z" 2/19/2026, 3:27:24 AM
model"nousresearch/hermes-3-llama-3.1-70b"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1998
moderation_latency(null)
generation_time38288
tokens_prompt1171
tokens_completion723
native_tokens_prompt1025
native_tokens_completion599
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"
usage0.0004872
router(null)
provider_responses
0
endpoint_id"19e60da4-d0e0-4799-a949-ea786279a5cb"
id"cmpl-e90868cc18e4428e87bc41afd1a81465"
is_byokfalse
latency1941
model_permaslug"nousresearch/hermes-3-llama-3.1-70b"
provider_name"NextBit"
status200
api_type"completions"
id"gen-1771471644-2JfKT4yRNO6SYpllhXIQ"
upstream_id"cmpl-e90868cc18e4428e87bc41afd1a81465"
total_cost0.0004872
cache_discount(null)
upstream_inference_cost0
provider_name"NextBit"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags6
adverbTagCount0
adverbTags(empty)
dialogueSentences19
tagDensity0.316
leniency0.632
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount451
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)
33.48% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount451
totalAiIsms6
found
0
word"etched"
count2
1
word"furrowed"
count1
2
word"intricate"
count1
3
word"tinged"
count1
4
word"racing"
count1
highlights
0"etched"
1"furrowed"
2"intricate"
3"tinged"
4"racing"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes widened"
58.33% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells2
narrationSentences25
matches
0"d in confusion"
1"d with determination"
28.57% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences25
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)
analyzedSentences38
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
totalWords447
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
15.90% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions17
wordCount261
uniqueNames6
maxNameDensity2.68
worstName"Quinn"
maxWindowNameDensity3
worstWindowName"Quinn"
discoveredNames
Harlow2
Quinn7
Tube1
Camden1
Liam1
Jacobs5
persons
0"Harlow"
1"Quinn"
2"Liam"
3"Jacobs"
places(empty)
globalScore0.159
windowScore0.667
11.11% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences18
glossingSentenceCount1
matches
0"sigils that seemed to shimmer faintly in the dim light"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount447
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences38
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs19
mean23.53
std14.34
cv0.61
sampleLengths
055
126
213
346
410
528
68
731
829
916
1032
116
1226
136
1433
155
1614
1745
1818
91.23% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences25
matches
0"was etched"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs46
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences38
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount262
adjectiveStacks0
stackExamples(empty)
adverbCount8
adverbRatio0.030534351145038167
lyAdverbCount2
lyAdverbRatio0.007633587786259542
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences38
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences38
mean11.76
std7.28
cv0.619
sampleLengths
014
124
217
318
48
56
67
712
816
913
105
117
123
1311
1417
154
164
176
1825
1912
2017
2116
225
2327
243
253
2626
276
2810
2913
3010
315
325
339
3416
3529
364
3714
100.00% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats0
diversityRatio0.631578947368421
totalSentences38
uniqueOpeners24
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences25
matches(empty)
ratio0
76.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount9
totalSentences25
matches
0"She adjusted her watch as"
1"She knelt down, examining a"
2"Its face was etched with"
3"she muttered, more to herself"
4"She stood up, her gaze"
5"she held it up"
6"She began pacing the platform,"
7"She tapped the compass"
8"She pocketed the compass and"
ratio0.36
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount23
totalSentences25
matches
0"Detective Harlow Quinn surveyed the"
1"The dim flickering of the"
2"She adjusted her watch as"
3"Constable Liam Jacobs approached her,"
4"Quinn nodded, her sharp jawline"
5"She knelt down, examining a"
6"Its face was etched with"
7"she muttered, more to herself"
8"Jacobs leaned in for a"
9"She stood up, her gaze"
10"she held it up"
11"The constable's eyes widened."
12"Quinn's lips thinned into a"
13"She began pacing the platform,"
14"Jacobs asked, his voice tinged"
15"Quinn paused, her eyes narrowing."
16"Jacobs shifted uncomfortably."
17"Quinn cut him off, She"
18"A wry smile tugged at"
19"She tapped the compass"
ratio0.92
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences25
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences11
technicalSentenceCount0
matches(empty)
41.67% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags6
uselessAdditionCount1
matches
0"she muttered, more to herself than to Jacobs"
97.37% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount1
fancyTags
0"she muttered (mutter)"
dialogueSentences19
tagDensity0.105
leniency0.211
rawRatio0.5
effectiveRatio0.105
75.1220%