Run: 2026-03-11-01KKFJGKZR1J2R4A2365KHAB81

Run Details

Duration:
33.6s
Cost:
$0.000000
Provider:
Nvidia

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
Quinn’s boots splashed through puddles that mirrored the sickly glow of streetlamps. The rain hammered the pavement in a steady rhythm, each drop striking the stone with a sharp click. Her leather watch caught a flicker of light as she swung her arm, the worn band scraping against her cuff. Salt‑and‑pepper hair clung to her forehead, strands plastered by the damp. Her jaw tightened, the sharp line of it a mask against the chill that seeped into her coat. Ahead, Tomás Herrera moved like a shadow that refused to stay still. The dark curls of his hair clung to his forehead, water tracing paths down his temples. The scar on his left forearm flashed whenever he shifted his weight, a pale line against his olive skin. The Saint Christopher medallion bounced against his chest, a dull glint each time he ducked under a leaking awning. Quinn’s eyes narrowed. She had watched him slip from the Raven’s Nest earlier, his steps hurried, his gaze darting to the alleys that coiled off the main thoroughfare. The clique’s whispers had reached her desk for months—rumors of off‑the‑books treatments, of patients who vanished after a night’s care. She had lost her partner three years ago to something she could not name, a case that had bled into the supernatural and left a hollow in her chest. Now the city felt like a chess board, each move a potential trap. She pushed forward, her stride matching the beat of the rain. The wind tugged at her coat, threatening to unbalance her, but her bearing stayed rigid, each step planted with the precision of a soldier on patrol. “Stop,” she called, voice low but edged with steel. Tomás did not break his pace. He glanced over his shoulder, warm brown eyes meeting hers for a heartbeat before he flicked his gaze away. The rain blurred the space between them, turning the street into a smear of silver and black. “You think you can disappear?” Quinn said, the words snapping like a whip. Tomás’s lips curled, a humorless smile that did not reach his eyes. “You’re chasing ghosts, Detective. I’m just a man trying to keep his head above water.” Quinn’s fingers brushed the watch strap, feeling the familiar weight. She could see the rise and fall of his chest, the way his breath came in short bursts, the way his hand slipped instinctively to the medallion as if seeking comfort. They turned a corner onto a narrow lane where the buildings leaned close, their façades slick with grime. A flickering neon sign buzzed overhead, casting a jaundiced glow that made the rain look like molten metal. The scent of wet stone and distant gasoline hung thick in the air. Tomás ducked beneath a low archway, his boot splashing in a gutter that ran black with oil. Quinn followed, her boots slipping slightly on the wet cobbles before she found purchase. The archway opened onto a dead‑end alley, its far wall plastered with faded posters and a rusted fire escape that snaked upward like a steel spine. He paused, listening. The rain hammered the metal overhead, a constant roar that swallowed footfalls. Quinn pressed herself against the damp brick, feeling the chill seep through her coat. She could hear his breathing, shallow and controlled. “You know why I’m here,” Tomás said, voice barely audible over the storm. “You know what they’re doing.” Quinn’s eyes flicked to the scar on his forearm, then to the medallion. “I know you’re patching up things that shouldn’t be patched. I know you’re crossing lines.” He let out a short, humorless chuckle. “Lines are for people who like to stay on one side of the map. I don’t have that luxury.” A sudden clatter echoed from the far end of the alley—a metal lid rolling away, a distant shout muffled by the rain. Tomás’s head snapped toward the noise, his body coiling. Quinn saw it then: a faint outline in the wall, a seam where the bricks seemed to shift, revealing a dark rectangle framed by rusted iron. A bone token hung from a chain looped over a nail, its surface etched with symbols that caught the faint light and threw it back in a dull gleam. Tomás stepped forward, his hand closing around the token. He lifted it, the bone catching the rain’s dull sheen, and pressed it against the iron latch. The mechanism gave a soft click, and the hidden door swung inward, revealing a stairwell that descended into darkness. He glanced back at her one last time, eyes steady despite the rain slicing his cheeks. “You can stay up here and wonder, or you can come down and see what you’re really chasing.” Quinn felt the weight of her watch against her wrist, the leather softened by years of use. The rain continued its relentless drumming, each drop a reminder of the city’s restless pulse. Her breath came in short bursts, her jaw set, her muscles coiled like a spring ready to release. She lifted her foot, the sole meeting the slick stone of the stair’s first tread. The darkness below yawned, promising unknown corridors, hidden deals, and perhaps the answers she had hunted for three years. She did not look back. She descended, the door sighing shut behind her, sealing the street’s rain‑soaked chaos from the world below.
created_at"2026-03-11T23:08:07.045Z" 3/11/2026, 11:08:07 PM
model"nvidia/nemotron-3-super-120b-a12b-20230311:free"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency470
moderation_latency(null)
generation_time33429
tokens_prompt1157
tokens_completion3321
native_tokens_prompt1038
native_tokens_completion2903
native_tokens_completion_images(null)
native_tokens_reasoning1967
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
router(null)
provider_responses
0
endpoint_id"970aecad-f13b-4ec3-9362-e1758aea3e56"
id"chatcmpl-a206af3d4cb53b2d"
is_byokfalse
latency399
model_permaslug"nvidia/nemotron-3-super-120b-a12b-20230311"
provider_name"Nvidia"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1773270487-pmuCVqFVDkcno53YxsTj"
upstream_id"chatcmpl-a206af3d4cb53b2d"
total_cost0
cache_discount(null)
upstream_inference_cost0
provider_name"Nvidia"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags3
adverbTagCount0
adverbTags(empty)
dialogueSentences8
tagDensity0.375
leniency0.75
rawRatio0
effectiveRatio0
88.79% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount892
totalAiIsmAdverbs2
found
0
adverb"slightly"
count1
1
adverb"really"
count1
highlights
0"slightly"
1"really"
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)
10.31% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount892
totalAiIsms16
found
0
word"flicker"
count1
1
word"chill"
count2
2
word"tracing"
count1
3
word"weight"
count3
4
word"glint"
count1
5
word"potential"
count1
6
word"flicked"
count2
7
word"familiar"
count1
8
word"echoed"
count1
9
word"etched"
count1
10
word"reminder"
count1
11
word"pulse"
count1
highlights
0"flicker"
1"chill"
2"tracing"
3"weight"
4"glint"
5"potential"
6"flicked"
7"familiar"
8"echoed"
9"etched"
10"reminder"
11"pulse"
66.67% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches2
maxInWindow2
found
0
label"eyes widened/narrowed"
count1
1
label"hung in the air"
count1
highlights
0"eyes narrowed"
1"hung thick in the air"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences52
matches(empty)
32.97% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount1
narrationSentences52
filterMatches
0"watch"
1"look"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences57
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen31
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords890
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
94.24% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions21
wordCount807
uniqueNames7
maxNameDensity1.12
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Tomás7
Herrera1
Saint1
Christopher1
Raven1
Nest1
Quinn9
persons
0"Tomás"
1"Herrera"
2"Saint"
3"Christopher"
4"Quinn"
places
0"Raven"
globalScore0.942
windowScore1
47.96% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences49
glossingSentenceCount2
matches
0"felt like a chess board, each move a po"
1"as if seeking comfort"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount890
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences57
matches(empty)
96.74% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs22
mean40.45
std19.77
cv0.489
sampleLengths
079
166
290
337
49
542
613
727
841
949
1057
1137
1218
1328
1426
1531
1655
1745
1834
1950
2034
2122
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences52
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs142
matches(empty)
42.61% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount0
flaggedSentences2
totalSentences57
ratio0.035
matches
0"The clique’s whispers had reached her desk for months—rumors of off‑the‑books treatments, of patients who vanished after a night’s care."
1"A sudden clatter echoed from the far end of the alley—a metal lid rolling away, a distant shout muffled by the rain."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount809
adjectiveStacks0
stackExamples(empty)
adverbCount16
adverbRatio0.019777503090234856
lyAdverbCount4
lyAdverbRatio0.004944375772558714
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences57
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences57
mean15.61
std6.3
cv0.404
sampleLengths
012
118
220
311
418
512
616
719
819
93
1025
1120
1229
1313
1411
1526
169
176
1819
1917
2013
2112
2215
2310
2431
2518
2618
2713
2817
2914
3026
313
3212
3314
348
3513
365
3713
3815
397
4019
4122
429
4326
4429
459
4617
4719
4816
4918
42.98% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.2631578947368421
totalSentences57
uniqueOpeners15
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences52
matches(empty)
ratio0
81.54% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount18
totalSentences52
matches
0"Her leather watch caught a"
1"Her jaw tightened, the sharp"
2"She had watched him slip"
3"She had lost her partner"
4"She pushed forward, her stride"
5"she called, voice low but"
6"He glanced over his shoulder,"
7"She could see the rise"
8"They turned a corner onto"
9"He paused, listening."
10"She could hear his breathing,"
11"He let out a short,"
12"He lifted it, the bone"
13"He glanced back at her"
14"Her breath came in short"
15"She lifted her foot, the"
16"She did not look back."
17"She descended, the door sighing"
ratio0.346
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount50
totalSentences52
matches
0"Quinn’s boots splashed through puddles"
1"The rain hammered the pavement"
2"Her leather watch caught a"
3"Salt‑and‑pepper hair clung to her"
4"Her jaw tightened, the sharp"
5"The dark curls of his"
6"The scar on his left"
7"The Saint Christopher medallion bounced"
8"Quinn’s eyes narrowed."
9"She had watched him slip"
10"The clique’s whispers had reached"
11"She had lost her partner"
12"She pushed forward, her stride"
13"The wind tugged at her"
14"she called, voice low but"
15"Tomás did not break his"
16"He glanced over his shoulder,"
17"The rain blurred the space"
18"Quinn said, the words snapping"
19"Tomás’s lips curled, a humorless"
ratio0.962
96.15% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences52
matches
0"Now the city felt like"
ratio0.019
3.48% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences41
technicalSentenceCount8
matches
0"Her jaw tightened, the sharp line of it a mask against the chill that seeped into her coat."
1"She had watched him slip from the Raven’s Nest earlier, his steps hurried, his gaze darting to the alleys that coiled off the main thoroughfare."
2"The clique’s whispers had reached her desk for months—rumors of off‑the‑books treatments, of patients who vanished after a night’s care."
3"The wind tugged at her coat, threatening to unbalance her, but her bearing stayed rigid, each step planted with the precision of a soldier on patrol."
4"She could see the rise and fall of his chest, the way his breath came in short bursts, the way his hand slipped instinctively to the medallion as if seeking com…"
5"A flickering neon sign buzzed overhead, casting a jaundiced glow that made the rain look like molten metal."
6"Tomás ducked beneath a low archway, his boot splashing in a gutter that ran black with oil."
7"The mechanism gave a soft click, and the hidden door swung inward, revealing a stairwell that descended into darkness."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags3
uselessAdditionCount3
matches
0"she called, voice low but edged with steel"
1"Quinn said, the words snapping like a whip"
2"Tomás said, voice barely audible over the storm"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount0
fancyTags(empty)
dialogueSentences8
tagDensity0.375
leniency0.75
rawRatio0
effectiveRatio0
73.4814%