Run: 2026-03-11-01KKFJK4W768S3TSF7MZ701V3Y

Run Details

Duration:
37.2s
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 boot struck the curb, sending a spray of dark water onto the cracked pavement. The suspect’s silhouette flickered under the sickly glow of a broken streetlamp, a dark coat swallowed by the night. She pressed the worn leather watch against her wrist, feeling the faint tick against her skin as a reminder of time slipping away. “Hey!” Quinn’s voice cut through the hiss of rain, sharp enough to make the suspect’s head snap toward her. The man lurched forward, his shoes splashing in puddles that reflected the fractured neon of distant signs. Quinn surged after him, her coat heavy with water, each step a thud against the slick cobbles. The suspect darted into a narrow alley, the walls closing in like a throat. Graffiti peeled in wet strips, revealing bricks that glistened with oil. Quinn slammed her palm against the brick face, feeling the vibration travel up her arm. “You think you can lose me in the rain?” she shouted, the words bouncing off the wet stone. The suspect didn’t answer. He slipped sideways, vanishing behind a stack of overturned crates. Quinn lunged, her fingers grazing the damp fabric of his coat. He twisted, pulling free, and bolted toward a rusted fire escape that snaked up the side of a condemned building. Rain hammered the metal rungs as Quinn scrambled after him, the clang of her boots echoing like a warning. She reached the top, breathing in the cold, metallic tang of the night air, and saw the suspect disappear onto the roof, his silhouette a jagged cut against the low clouds. She hauled herself over the edge, the roof slick with a thin film of water. The suspect ran across the tarred surface, his boots skidding slightly before he found purchase. Quinn chased, her lungs burning, the watch on her wrist catching a stray flicker of lightning that illuminated the city’s sprawl. A sudden gust sent a sheet of rain slashing sideways, blurring her vision. She blinked, wiping water from her eyes with the back of her glove. The suspect leapt onto a low wall that divided the roof from an adjacent building, then dropped down into a narrow service lane. Quinn followed, her boots slipping on the algae‑slick stone. The lane opened onto a side street where a market stall’s awning flapped violently in the wind. Vendors shouted over the storm, their voices muffled by the downpour. Quinn plunged into the crowd, shoulder‑checking a cart of soggy newspapers. The suspect weaved between stalls, his coat flashing like a dark fish in a sea of umbrellas. She spotted him again near a vendor selling steaming pies, his hand reaching for a paper bag. Quinn’s boot landed in a puddle that sent a ripple up her leg, the cold seeping through her sole. She lunged, grabbing the bag’s strap. The suspect yanked back, the bag tearing, scattering hot pastry across the wet stones. “You’re making a mess,” Quinn said, her tone flat, eyes locked on his face. He smirked, wiping a smear of filling from his cheek. “You always were messy, Quinn.” She didn’t respond to the taunt. Instead, she shoved the torn bag aside and surged forward, her fingers closing around his wrist. He twisted, trying to break free, but she held fast, feeling the pulse thrum beneath his skin. The rain intensified, turning the street into a mirror that reflected the neon signs above—red, green, amber—each flicker casting his face in shifting hues. A siren wailed in the distance, growing louder as a police cruiser turned the corner, its lights painting the scene in strobing blue and white. The suspect’s eyes flicked toward the vehicle, then back to Quinn. He jerked his arm, breaking her grip, and sprinted toward a darkened doorway half‑hidden behind a stack of cardboard boxes. Quinn followed, her boots splashing through a gutter that ran alongside the entrance. The doorway yawned like a mouth, darkness spilling out onto the wet pavement. She paused, hand on the cold metal frame, listening to the rain drum a steady rhythm against the awning above. Inside, a stairwell descended into blackness, the steps slick with condensation. A faint hum rose from below, like the low thrum of a transformer buried deep. Quinn pressed her ear to the door, catching a whisper of voices—low, urgent, speaking in a language she couldn’t place. The suspect vanished down the stairs, his footsteps swallowed by the gloom. Quinn’s watch caught a glint of something metal on the bottom step—a small, carved bone token, its surface etched with strange symbols. She knelt, fingers closing around the token, feeling its weight, its coolness seeping into her skin. A thought surfaced, unbidden, from the night she lost DS Morris—how the unknown had pulled him under, how the ordinary had turned grotesque in an instant. She swallowed, the taste of rain and iron on her tongue. She rose, the token heavy in her palm, and stared into the yawning stairwell. The hum grew louder, a vibration that seemed to sync with her own heartbeat. Above, the siren waned, the cruiser moving on, leaving the street to the rain and the flickering neon. Quinn took a breath, the air filling her lungs with the scent of wet stone and ozone. She lifted the token, its edges catching the dim light from the streetlamp outside, casting tiny shadows that danced like restless insects. She could turn back, call for backup, wait for the rain to wash the trail away. Or she could descend, follow the suspect into a place where the rules of the city bent, where bone tokens opened doors to markets that dealt in things no precinct logbook recorded. She slipped the token into her pocket, the leather of her watch creaking as she flexed her fingers. The decision settled, firm as the stone beneath her boots. Quinn stepped onto the first stair, the metal cold against her sole. The rain’s patter faded, replaced by the low, steady thrum that grew with each step. She moved downward, the darkness swallowing her form, the city above receding into a muffled roar. The chase continued, the underground market waiting just beyond the next turn.
created_at"2026-03-11T23:09:29.875Z" 3/11/2026, 11:09:29 PM
model"nvidia/nemotron-3-super-120b-a12b-20230311:free"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3276
moderation_latency(null)
generation_time37133
tokens_prompt1157
tokens_completion2893
native_tokens_prompt1038
native_tokens_completion2500
native_tokens_completion_images(null)
native_tokens_reasoning1329
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-9961b271e5e9c3b2"
is_byokfalse
latency251
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-1773270569-4CyH3FUme7bEyhYStQ0i"
upstream_id"chatcmpl-9961b271e5e9c3b2"
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
totalTags2
adverbTagCount0
adverbTags(empty)
dialogueSentences4
tagDensity0.5
leniency1
rawRatio0
effectiveRatio0
95.16% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1032
totalAiIsmAdverbs1
found
0
adverb"slightly"
count1
highlights
0"slightly"
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)
27.33% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1032
totalAiIsms15
found
0
word"flickered"
count1
1
word"reminder"
count1
2
word"lurched"
count1
3
word"fractured"
count1
4
word"echoing"
count1
5
word"flicker"
count2
6
word"pulse"
count1
7
word"flicked"
count1
8
word"whisper"
count1
9
word"footsteps"
count1
10
word"gloom"
count1
11
word"glint"
count1
12
word"etched"
count1
13
word"weight"
count1
highlights
0"flickered"
1"reminder"
2"lurched"
3"fractured"
4"echoing"
5"flicker"
6"pulse"
7"flicked"
8"whisper"
9"footsteps"
10"gloom"
11"glint"
12"etched"
13"weight"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches0
maxInWindow0
found(empty)
highlights(empty)
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences64
matches(empty)
53.57% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount1
narrationSentences64
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)
analyzedSentences65
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen32
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1027
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
65.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions18
wordCount1008
uniqueNames2
maxNameDensity1.69
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Quinn17
Morris1
persons
0"Quinn"
1"Morris"
places(empty)
globalScore0.657
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences63
glossingSentenceCount1
matches
0"vibration that seemed to sync with her own heartbeat"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1027
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences65
matches(empty)
46.26% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs23
mean44.65
std13.93
cv0.312
sampleLengths
057
119
259
333
445
550
651
758
856
956
1014
1115
1263
1356
1446
1546
1650
1737
1846
1939
2048
2128
2255
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences64
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs174
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount0
flaggedSentences4
totalSentences65
ratio0.062
matches
0"The rain intensified, turning the street into a mirror that reflected the neon signs above—red, green, amber—each flicker casting his face in shifting hues."
1"Quinn pressed her ear to the door, catching a whisper of voices—low, urgent, speaking in a language she couldn’t place."
2"Quinn’s watch caught a glint of something metal on the bottom step—a small, carved bone token, its surface etched with strange symbols."
3"A thought surfaced, unbidden, from the night she lost DS Morris—how the unknown had pulled him under, how the ordinary had turned grotesque in an instant."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1013
adjectiveStacks1
stackExamples
0"above—red, green, amber—"
adverbCount23
adverbRatio0.022704837117472853
lyAdverbCount3
lyAdverbRatio0.0029615004935834156
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences65
echoCount0
echoWords(empty)
78.46% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences65
mean15.8
std5.47
cv0.346
sampleLengths
015
119
223
319
417
517
614
711
815
918
104
1110
1211
1320
1419
1531
1615
1715
1821
1913
2013
2123
229
2317
2411
2511
2617
2717
2819
296
3014
3114
3210
335
346
3516
3617
3724
3825
3911
4020
4113
4213
4320
4411
4515
4620
4712
4822
4916
45.38% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.2153846153846154
totalSentences65
uniqueOpeners14
52.08% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences64
matches
0"Instead, she shoved the torn"
ratio0.016
88.75% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount21
totalSentences64
matches
0"She pressed the worn leather"
1"she shouted, the words bouncing"
2"He slipped sideways, vanishing behind"
3"He twisted, pulling free, and"
4"She reached the top, breathing"
5"She hauled herself over the"
6"She blinked, wiping water from"
7"She spotted him again near"
8"She lunged, grabbing the bag’s"
9"He smirked, wiping a smear"
10"She didn’t respond to the"
11"He twisted, trying to break"
12"He jerked his arm, breaking"
13"She paused, hand on the"
14"She knelt, fingers closing around"
15"She swallowed, the taste of"
16"She rose, the token heavy"
17"She lifted the token, its"
18"She could turn back, call"
19"She slipped the token into"
ratio0.328
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount59
totalSentences64
matches
0"Quinn’s boot struck the curb,"
1"The suspect’s silhouette flickered under"
2"She pressed the worn leather"
3"Quinn’s voice cut through the"
4"The man lurched forward, his"
5"Quinn surged after him, her"
6"The suspect darted into a"
7"Graffiti peeled in wet strips,"
8"Quinn slammed her palm against"
9"she shouted, the words bouncing"
10"The suspect didn’t answer."
11"He slipped sideways, vanishing behind"
12"Quinn lunged, her fingers grazing"
13"He twisted, pulling free, and"
14"She reached the top, breathing"
15"She hauled herself over the"
16"The suspect ran across the"
17"Quinn chased, her lungs burning,"
18"A sudden gust sent a"
19"She blinked, wiping water from"
ratio0.922
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences64
matches(empty)
ratio0
0.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences57
technicalSentenceCount13
matches
0"She pressed the worn leather watch against her wrist, feeling the faint tick against her skin as a reminder of time slipping away."
1"The man lurched forward, his shoes splashing in puddles that reflected the fractured neon of distant signs."
2"Graffiti peeled in wet strips, revealing bricks that glistened with oil."
3"He twisted, pulling free, and bolted toward a rusted fire escape that snaked up the side of a condemned building."
4"Quinn chased, her lungs burning, the watch on her wrist catching a stray flicker of lightning that illuminated the city’s sprawl."
5"The suspect leapt onto a low wall that divided the roof from an adjacent building, then dropped down into a narrow service lane."
6"She spotted him again near a vendor selling steaming pies, his hand reaching for a paper bag."
7"Quinn’s boot landed in a puddle that sent a ripple up her leg, the cold seeping through her sole."
8"The rain intensified, turning the street into a mirror that reflected the neon signs above—red, green, amber—each flicker casting his face in shifting hues."
9"A siren wailed in the distance, growing louder as a police cruiser turned the corner, its lights painting the scene in strobing blue and white."
10"She knelt, fingers closing around the token, feeling its weight, its coolness seeping into her skin."
11"The hum grew louder, a vibration that seemed to sync with her own heartbeat."
12"She lifted the token, its edges catching the dim light from the streetlamp outside, casting tiny shadows that danced like restless insects."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount2
matches
0"she shouted, the words bouncing off the wet stone"
1"Quinn said, her tone flat, eyes locked on his face"
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount1
fancyTags
0"she shouted (shout)"
dialogueSentences4
tagDensity0.5
leniency1
rawRatio0.5
effectiveRatio0.5
68.2222%