Run: 2026-04-25-01KQ2FK5XN9EK97NTBF8M5Q6T9

Run Details

Duration:
4m 54s
Cost:
$0.010141
Provider:
Together

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 lungs burned as her boots hammered the wet pavement, each stride kicking up a spray of rainwater that glinted under the sickly orange streetlamps. The suspect—male, early thirties, dark hoodie pulled low—veered left into an alley without breaking pace. She followed. Her shoulder clipped a stack of wooden pallets and sent them clattering against a dumpster. The sound ricocheted off the narrow brick walls like gunfire. The alley spat them out onto Berwick Street. Deserted at this hour. The suspect vaulted a low railing and disappeared down a flight of concrete stairs leading to what looked like a service entrance for the old Tube station. Harlow’s worn leather watch read 2:17 AM. She hadn’t radioed backup. Stupid. She knew it. But the man matched the description Tomás Herrera had given her three hours earlier at the Raven’s Nest—scar on the left forearm, Saint Christopher medallion catching the bar’s green neon when he’d leaned forward to whisper about the Veil Market. “Don’t go alone,” Tomás had warned, his warm brown eyes holding hers across the sticky table. “They don’t take kindly to badges.” She’d nodded. Agreed. Then tailed the suspect solo anyway. Harlow took the stairs two at a time, her salt-and-pepper hair plastered to her forehead by the relentless October rain. The concrete walls dripped with moisture and decades of grime. At the bottom, a rusted gate stood ajar. Beyond it, darkness and the faint echo of footsteps retreating into the earth. She checked her sidearm. The familiar weight steadied her breathing. Eighteen years on the force. Countless doorways into the unknown. And still that brief hesitation. That split-second where Morris’s voice whispered caution in the back of her mind. She pushed it aside. Stepped through. The tunnel smelled of ozone and something older. Wet stone and incense. Her flashlight beam cut through the darkness and revealed not the expected abandoned station but a staircase carved directly into the bedrock. The steps were worn smooth in the center, polished by who knew how many feet over how many years. Symbols she didn’t recognize marked the walls at irregular intervals—some glowing faintly, others dull and inert. The footsteps ahead paused. Then resumed, faster now. Harlow descended. The air grew warmer the deeper she went, the chill of the London night replaced by something thick and cloying. The tunnel opened abruptly into a vast chamber that stole her breath. The Veil Market sprawled before her like a wound in the belly of the city. Stalls constructed from salvaged wood and corrugated metal lined winding pathways lit by lanterns that burned with green and purple flame. Vendors hawked their wares in languages that grated against her ears, their faces obscured by masks or veils or things she preferred not to examine too closely. Bottles of iridescent liquid bubbled without heat. Cages held creatures that wept soft human sounds. A woman with too many joints in her fingers argued with a man whose shadow moved independently of his body. Harlow’s stomach clenched. She’d heard rumors for years—every cop in the Met had—but standing inside it was something else entirely. Something that made the small hairs on her arms stand rigid. Movement. Thirty yards ahead. The suspect pushed through a crowd of robed figures, his hood fallen back to reveal short curly dark hair and olive skin. He glanced over his shoulder. Their eyes met. Not her suspect. Tomás Herrera held her gaze for one long, terrible moment. His expression wasn’t surprised. Wasn’t afraid. It was resigned. The Saint Christopher medallion swung gently against his chest as he turned and continued walking, deeper into the market. Harlow’s mind raced. She’d interviewed him at the Nest. Bought him two whiskeys. Watched his hands tremble slightly as he’d described the scar on his forearm—a knife attack, he’d said, from his days as a paramedic. But7900 He’d9715 He’d pointed her at a phantom. A description that matched himself in every detail except the name. Why? A vendor to her left thrust a jar toward her face. Something pale and segmented writhed inside. “Detective’s blood,” the vendor hissed through rotted teeth. “Rare vintage. Very potent.” Harlow shouldered past. Her boots squelched on ground that felt too soft, too organic. The lantern light painted her sharp features in alternating shades of emerald and amethyst. She kept her flashlight off now. It marked her too clearly as an outsider. Tomás ducked through a beaded curtain into a tent made of stitched-together tapestries. The fabric showed scenes of hunts—hunters on horseback pursuing prey that looked uncomfortably human. Harlow paused at the entrance. Her hand rested on her holster. She could turn back. Radio for support. Return with a tactical unit and tear this whole underground nightmare apart. But Tomás knew something. About Morris. About those unexplained circumstances three years ago that the official reports had glossed over with phrases like “unfortunate accident” and “case closed pending further evidence.” He’d brought her here deliberately. The fake description, the whispered tip at the Nest, the slow, obvious flight through the rain-soaked streets—it had all been an invitation. She pushed through the beaded curtain. The tent’s interior defied its exterior dimensions. What should have been a cramped stall stretched into a room the size of a London flat. Bookshelves lined walls that couldn’t possibly exist. A fireplace crackled cheerfully in the corner despite the complete lack of a chimney. Tomás stood with his back to her, pouring amber liquid from a crystal decanter into two glasses. “You’re not a paramedic,” Harlow said. “I was.” He turned and offered her a glass. His hand was steady now. “Seville. Eight years with the NHS here in London. All true.” “You lost your license administering unauthorized treatments to supernatural patients.” “Also true.” He drank from his own glass. “What I didn’t tell you is that those patients4959 Those patients were here. At the Market. I’ve been working both sides for six years.” Harlow didn’t touch the drink. The fireplace popped. Shadows danced across Tomás’s face, making him look older than twenty-nine. “Morris,” she said. The name came out harder than she intended. “DS Morris was my patient.” Tomás set his glass down on a side table cluttered with vials and old medical texts. “The night he died, he didn’t die. Not the way you think. The thing that attacked him—it wasn’t human. It took something from him. Left the body breathing but empty.” Harlow’s jaw tightened. “His autopsy showed massive cardiac arrest. Nothing else.” “Because you’re not equipped to see anything else.” Tomás rolled up his left sleeve, revealing the scar she’d seen earlier. But now, in the firelight, it shimmered with faint silver threads worked beneath the skin. “I tried to pull him back. Got this for my trouble. Lost my license because the official inquiry couldn’t explain what I’d done to him—needles and compounds that didn’t exist on any NHS inventory.” The detective’s military bearing cracked, just slightly. Her hand fell away from the holster. “Why now? Why bring me here?” “Because the thing that took Morris is back.” Tomás met her eyes without flinching. “And I need someone on the outside who believes me.” A commotion erupted outside the tent. Shouts in those same grating languages. The clatter of a stall collapsing. The green and purple lights flickered wildly through the tapestry walls. “They know you’re here,” Tomás said. “Market security doesn’t tolerate law enforcement. You have about ninety seconds before they find this tent.” Harlow heard the threat in his voice but also the plea. He’d risked this. Brought her into his world deliberately, knowing what it might cost him. “Help me understand what happened to Morris,” she said, “and I’ll walk out of here without arresting you.” “Deal.” The tent flap tore open. A figure filled the entrance—tall, wrapped in robes that seemed to absorb the light around them. No face visible beneath the hood. Just darkness and the suggestion of something sharp moving within it. Tomás grabbed Harlow’s arm. “Run.”
created_at"2026-04-25T14:09:50.255Z" 4/25/2026, 2:09:50 PM
model"deepseek/deepseek-v4-pro-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency10061
moderation_latency(null)
generation_time288317
tokens_prompt1140
tokens_completion2210
native_tokens_prompt1003
native_tokens_completion1826
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)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.0101407
router(null)
provider_responses
0
endpoint_id"d084170b-dd99-4e53-9ae1-b63881f3cfbf"
is_byokfalse
latency702
model_permaslug"deepseek/deepseek-v4-pro-20260423"
provider_name"DeepSeek"
status429
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endpoint_id"13bda129-f8a6-4a60-b1db-98082e5f7ccd"
id"ogZZFWt-6z2FuN-9f1ded858633d81b"
is_byokfalse
latency10061
model_permaslug"deepseek/deepseek-v4-pro-20260423"
provider_name"Together"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777126190-WDOklbVV3k97zC0Avrrs"
session_id(null)
api_type"completions"
id"gen-1777126190-WLBQFEWfuB11GXzpXMKS"
upstream_id"ogZZFWt-6z2FuN-9f1ded858633d81b"
total_cost0.0101407
cache_discount(null)
upstream_inference_cost0
provider_name"Together"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags11
adverbTagCount0
adverbTags(empty)
dialogueSentences25
tagDensity0.44
leniency0.88
rawRatio0
effectiveRatio0
77.66% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1343
totalAiIsmAdverbs6
found
0
adverb"gently"
count1
1
adverb"slightly"
count2
2
adverb"very"
count1
3
adverb"deliberately"
count2
highlights
0"gently"
1"slightly"
2"very"
3"deliberately"
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)
47.88% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1343
totalAiIsms14
found
0
word"whisper"
count1
1
word"echo"
count1
2
word"footsteps"
count2
3
word"familiar"
count1
4
word"weight"
count1
5
word"chill"
count1
6
word"constructed"
count1
7
word"stomach"
count1
8
word"raced"
count1
9
word"crystal"
count1
10
word"shimmered"
count1
11
word"flickered"
count1
12
word"tapestry"
count1
highlights
0"whisper"
1"echo"
2"footsteps"
3"familiar"
4"weight"
5"chill"
6"constructed"
7"stomach"
8"raced"
9"crystal"
10"shimmered"
11"flickered"
12"tapestry"
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
narrationSentences121
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences121
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)
analyzedSentences134
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen41
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1331
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions12
unquotedAttributions0
matches(empty)
66.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions49
wordCount1108
uniqueNames17
maxNameDensity1.17
worstName"Harlow"
maxWindowNameDensity3
worstWindowName"Tomás"
discoveredNames
Harlow13
Quinn1
Berwick1
Street1
Tube1
Tomás12
Herrera2
Raven1
Nest3
Saint2
Christopher2
Veil2
Market2
October1
Morris2
London2
Met1
persons
0"Harlow"
1"Quinn"
2"Tomás"
3"Herrera"
4"Saint"
5"Christopher"
6"Morris"
places
0"Berwick"
1"Street"
2"Raven"
3"Nest"
4"London"
globalScore0.913
windowScore0.667
83.33% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences75
glossingSentenceCount2
matches
0"looked like a service entrance for the ol"
1"robes that seemed to absorb the light around them"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.751
wordCount1331
matches
0"not the expected abandoned station but a staircase carved directly into the bedrock"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences134
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs41
mean32.46
std23.43
cv0.722
sampleLengths
069
194
222
39
451
544
669
78
834
915
1083
1131
1234
133
1438
1556
1617
1712
1842
1957
2058
216
2262
236
2425
2510
2632
2719
2811
2951
3011
3169
3220
3324
3429
3522
3626
3718
381
3938
405
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences121
matches
0"was resigned"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs186
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount10
semicolonCount0
flaggedSentences8
totalSentences134
ratio0.06
matches
0"The suspect—male, early thirties, dark hoodie pulled low—veered left into an alley without breaking pace."
1"But the man matched the description Tomás Herrera had given her three hours earlier at the Raven’s Nest—scar on the left forearm, Saint Christopher medallion catching the bar’s green neon when he’d leaned forward to whisper about the Veil Market."
2"Symbols she didn’t recognize marked the walls at irregular intervals—some glowing faintly, others dull and inert."
3"She’d heard rumors for years—every cop in the Met had—but standing inside it was something else entirely."
4"Watched his hands tremble slightly as he’d described the scar on his forearm—a knife attack, he’d said, from his days as a paramedic."
5"The fabric showed scenes of hunts—hunters on horseback pursuing prey that looked uncomfortably human."
6"The fake description, the whispered tip at the Nest, the slow, obvious flight through the rain-soaked streets—it had all been an invitation."
7"A figure filled the entrance—tall, wrapped in robes that seemed to absorb the light around them."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1124
adjectiveStacks1
stackExamples
0"short curly dark hair"
adverbCount33
adverbRatio0.029359430604982206
lyAdverbCount20
lyAdverbRatio0.017793594306049824
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences134
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences134
mean9.93
std7.64
cv0.769
sampleLengths
027
115
22
315
410
58
64
727
87
94
101
113
1240
1316
146
152
161
176
1820
1910
208
2113
224
236
245
255
265
2713
284
292
308
314
3222
3319
3416
354
364
372
3820
3912
4015
4121
4227
437
448
4520
463
4717
4811
491
73.38% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.4626865671641791
totalSentences134
uniqueOpeners62
93.46% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences107
matches
0"Then tailed the suspect solo"
1"Then resumed, faster now."
2"Just darkness and the suggestion"
ratio0.028
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount23
totalSentences107
matches
0"Her shoulder clipped a stack"
1"She hadn’t radioed backup."
2"She knew it."
3"She checked her sidearm."
4"She pushed it aside."
5"Her flashlight beam cut through"
6"She’d heard rumors for years—every"
7"He glanced over his shoulder."
8"Their eyes met."
9"His expression wasn’t surprised."
10"It was resigned."
11"She’d interviewed him at the"
12"Her boots squelched on ground"
13"She kept her flashlight off"
14"It marked her too clearly"
15"Her hand rested on her"
16"She could turn back."
17"She pushed through the beaded"
18"He turned and offered her"
19"His hand was steady now."
ratio0.215
72.15% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount83
totalSentences107
matches
0"Detective Harlow Quinn’s lungs burned"
1"The suspect—male, early thirties, dark"
2"Her shoulder clipped a stack"
3"The sound ricocheted off the"
4"The alley spat them out"
5"The suspect vaulted a low"
6"Harlow’s worn leather watch read"
7"She hadn’t radioed backup."
8"She knew it."
9"Tomás had warned, his warm"
10"Harlow took the stairs two"
11"The concrete walls dripped with"
12"She checked her sidearm."
13"The familiar weight steadied her"
14"That split-second where Morris’s voice"
15"She pushed it aside."
16"The tunnel smelled of ozone"
17"Her flashlight beam cut through"
18"The steps were worn smooth"
19"Symbols she didn’t recognize marked"
ratio0.776
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences107
matches(empty)
ratio0
93.02% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences43
technicalSentenceCount3
matches
0"Detective Harlow Quinn’s lungs burned as her boots hammered the wet pavement, each stride kicking up a spray of rainwater that glinted under the sickly orange s…"
1"Stalls constructed from salvaged wood and corrugated metal lined winding pathways lit by lanterns that burned with green and purple flame."
2"Vendors hawked their wares in languages that grated against her ears, their faces obscured by masks or veils or things she preferred not to examine too closely."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags11
uselessAdditionCount0
matches(empty)
70.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount2
fancyTags
0"Tomás had (have)"
1"the vendor hissed (hiss)"
dialogueSentences25
tagDensity0.24
leniency0.48
rawRatio0.333
effectiveRatio0.16
85.7185%