Run: 2026-09-03-01M1KC8HPVDTZ2F7F5NN9NB53D

Run Details

Duration:
3m 51s
Cost:
$0.046144
Provider:
Phala

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
The rain hammered Old Compton Street with a sound like gravel on tin. Detective Harlow Quinn stood in the doorway of a closed café, collar up, watching the side exit of The Raven’s Nest through the wet dark. The bar’s green neon bled into the gutter. When Tomás Herrera slipped out, he pulled his jacket over his head and checked the street. His eyes found her a half-second before she moved. He ran. Harlow pushed off the doorframe and went after him. Her boots cracked through a puddle, and water sloshed over the tongues. She cornered hard into a narrow passage that smelled of fried onions and damp cardboard. A rack of postcards clattered behind her, torn down by her shoulder. The shopkeeper shouted something she didn't catch. Herrera moved with a runner's economy, arms tight, feet finding purchase on slick cobblestones. He cut west, then north, never once looking back. His Saint Christopher medallion swung from his neck, catching the light of a passing scooter. “Police! Stop!” He veered left into a service lane. She followed, close enough now to see the scar along his left forearm, pale against olive skin. The lane narrowed. Bins pressed in on both sides. Herrera knocked over a stack of wooden pallets. The wood splintered and spilled across her path. Harlow jumped, landed hard, and kept her balance. Her salt-and-pepper hair lay plastered to her skull. Water traced the sharp line of her jaw and snaked inside her collar. The worn leather watch on her left wrist had slipped, but she ignored it. All she saw was the gap between them narrowing. He paused at a black metal door between a shuttered kebab house and a boarded bookshop. A padlock hung open. He tore it free and dropped it with a splash. “Herrera! Hands where I can see them!” He turned. Rain ran through his short dark curls and down his face. He wasn’t smiling. He looked at her the way a nurse might look at a patient refusing treatment. “This doesn’t end the way you think, Detective.” She drew her weapon. The pistol’s grip was wet and cold. “Step away from the door.” He opened it instead. A breath of air pushed out, smelling of stone and old iron. Then he vanished into the black. Harlow crossed the last ten feet. The doorway stood half-hidden behind a dumpster. She pressed her back to the wall and peeked down. A narrow concrete stairwell descended into darkness. A single industrial bulb flickered, buzzed, and held. From below, his voice floated upward. “You don’t want to bring that badge down here.” She stepped down anyway. The door swung shut behind her. Not with a slam—with a hydraulic hiss that ended in a click. She didn’t turn. Her left hand found the wall, and the wall was slick with condensation. The stairs spiraled. After the first bend, the bulb gave out. She descended in total blackness, counting each step in her head. The air grew colder, then warmer. The smell shifted from wet concrete to wax, dust, and something faintly animal. At the bottom, a long tunnel opened under a low brick arch. Water dripped from a crack in the ceiling and beat a slow rhythm against a pile of loose tiles. Herrera stood twenty feet away. He waited in front of an iron gate, where a hooded figure stood with gloved hands folded at its waist. Herrera produced a small white object from inside his jacket—a carved bone token, no bigger than a thumb. He passed it to the hooded figure. The figure turned it in gloved fingers, then slotted it into a notch in the iron. The gate swung inward without a sound. Harlow kept the pistol level. “Don’t move.” The hooded figure raised one hand and pressed a pale finger to where its lips might be. It stepped aside. “The Veil Market doesn’t recognize your authority,” Herrera said. “Without a token, you’re just a woman with a gun and a wet coat.” She took a step forward. “I don’t need the Market. I need you. Face down on the ground. Now.” He looked at the gate, then back at her. “Your partner carried a token. Did you know that?” The tunnel seemed to tighten. Harlow’s grip on the pistol turned her knuckles white. DS Morris had been found in an alley with a look of surprise and not a single mark on his body. The investigation had shriveled into a file of unanswered questions and missing evidence. She forced her voice flat. “What do you know about Morris?” “He followed the wrong stall.” Herrera shook his head, and the medallion clinked against his chest. “I know what happened before he died. Maybe you do too.” He stepped through the gate. “Wait.” She moved forward. The gate began to swing shut. Herrera’s shape dissolved into the amber light beyond. Harlow lunged. She got her forearm between the iron and the frame. The metal bit into her wrist, and a bolt of pain shot up to her shoulder. She grunted, twisted, and shoved. The gate ground open a few more inches. She squeezed through and fell onto a platform of packed earth. The Veil Market opened below her. It spread through a cavern that might once have been a Tube station. Old rails still ran across the floor, half-buried. Lanterns hung from the curved ceiling on black chains, burning green and orange. Stalls made of iron and dark wood crowded the platform, their tables covered in jars of shifting liquid, brass instruments that ticked without hands, glass cages where small shapes moved in shadow. The air smelled of cinnamon, hot wax, wet feathers, and something deeper that made the hair on her arms rise. Herrera had stopped ten feet away at the edge of a crowded aisle. He watched her, not running now. The hooded figure slipped past him and disappeared into the crowd. She got to her feet. Her pistol remained in her hand, but the crowd closed around her, faces hidden under scarves and low hoods. None of them looked at her. Each one seemed aware of exactly where she stood. Herrera lifted his chin. “You made your choice.” He turned and walked into the Market. Harlow holstered the pistol. The worn leather of her watch strap pressed against her pulse as she followed him into the light and noise.
created_at"2026-09-03T10:15:34.381Z" 9/3/2026, 10:15:34 AM
model"deepseek/deepseek-v4-pro-20260813"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1280
moderation_latency(null)
generation_time231034
tokens_prompt1104
tokens_completion11606
native_tokens_prompt1082
native_tokens_completion10300
native_tokens_completion_images(null)
native_tokens_reasoning8922
native_tokens_cached256
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"
service_tier(null)
usage0.0461441
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788430534-imG1XpLPdmhwZQQEu3Sj"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788430534-LYBNuAX79IaMrxCRahha"
upstream_id"req_d244610e951d6f7def4ae4746401ac85"
provider_responses
0
endpoint_id"bb1fb528-2000-460c-a65e-b82dc347c019"
id"req_d244610e951d6f7def4ae4746401ac85"
is_byokfalse
latency420
model_permaslug"deepseek/deepseek-v4-pro-20260813"
provider_name"Phala"
status200
total_cost0.0461441
cache_discount0.0003328
upstream_inference_cost0
provider_name"Phala"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags3
adverbTagCount0
adverbTags(empty)
dialogueSentences15
tagDensity0.2
leniency0.4
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1069
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)
85.97% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1069
totalAiIsms3
found
0
word"traced"
count1
1
word"flickered"
count1
2
word"pulse"
count1
highlights
0"traced"
1"flickered"
2"pulse"
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
narrationSentences100
matches(empty)
85.71% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount2
narrationSentences100
filterMatches
0"watch"
hedgeMatches
0"seemed to"
1"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences112
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen32
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1067
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions33
wordCount963
uniqueNames15
maxNameDensity1.04
worstName"Herrera"
maxWindowNameDensity2.5
worstWindowName"Herrera"
discoveredNames
Old2
Compton1
Street1
Harlow8
Quinn1
Raven1
Nest1
Tomás1
Herrera10
Saint1
Christopher1
Morris1
Veil1
Market2
Tube1
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Tomás"
4"Herrera"
5"Saint"
6"Christopher"
7"Morris"
places
0"Old"
1"Compton"
2"Street"
globalScore0.981
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences76
glossingSentenceCount1
matches
0"seemed aware of exactly where she stood"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1067
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences112
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs39
mean27.36
std22.34
cv0.817
sampleLengths
071
12
255
338
42
557
644
730
87
931
108
1116
1222
1338
146
159
164
1775
1856
1948
207
2120
2223
2319
2418
2548
2611
2727
285
294
3014
3152
326
3386
3430
3539
364
374
3831
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences100
matches
0"been found"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs181
matches(empty)
91.84% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount0
flaggedSentences2
totalSentences112
ratio0.018
matches
0"Not with a slam—with a hydraulic hiss that ended in a click."
1"Herrera produced a small white object from inside his jacket—a carved bone token, no bigger than a thumb."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount970
adjectiveStacks0
stackExamples(empty)
adverbCount24
adverbRatio0.024742268041237112
lyAdverbCount2
lyAdverbRatio0.002061855670103093
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences112
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences112
mean9.53
std5.37
cv0.564
sampleLengths
013
125
28
316
49
52
69
712
815
912
107
1114
129
1315
142
157
1617
173
186
198
208
218
228
2313
2414
259
2616
274
2810
297
302
3111
323
3315
348
354
367
375
384
3912
406
416
427
4310
447
458
466
479
484
496
50.00% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.32142857142857145
totalSentences112
uniqueOpeners36
34.72% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences96
matches
0"Then he vanished into the"
ratio0.01
74.17% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount35
totalSentences96
matches
0"His eyes found her a"
1"Her boots cracked through a"
2"She cornered hard into a"
3"He cut west, then north,"
4"His Saint Christopher medallion swung"
5"He veered left into a"
6"She followed, close enough now"
7"Her salt-and-pepper hair lay plastered"
8"He paused at a black"
9"He tore it free and"
10"He wasn’t smiling."
11"He looked at her the"
12"She drew her weapon."
13"He opened it instead."
14"She pressed her back to"
15"She stepped down anyway."
16"She didn’t turn."
17"Her left hand found the"
18"She descended in total blackness,"
19"He waited in front of"
ratio0.365
1.67% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount88
totalSentences96
matches
0"The rain hammered Old Compton"
1"Detective Harlow Quinn stood in"
2"The bar’s green neon bled"
3"His eyes found her a"
4"Harlow pushed off the doorframe"
5"Her boots cracked through a"
6"She cornered hard into a"
7"A rack of postcards clattered"
8"The shopkeeper shouted something she"
9"Herrera moved with a runner's"
10"He cut west, then north,"
11"His Saint Christopher medallion swung"
12"He veered left into a"
13"She followed, close enough now"
14"The lane narrowed."
15"Bins pressed in on both"
16"Herrera knocked over a stack"
17"The wood splintered and spilled"
18"Harlow jumped, landed hard, and"
19"Her salt-and-pepper hair lay plastered"
ratio0.917
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences96
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences42
technicalSentenceCount2
matches
0"She cornered hard into a narrow passage that smelled of fried onions and damp cardboard."
1"Stalls made of iron and dark wood crowded the platform, their tables covered in jars of shifting liquid, brass instruments that ticked without hands, glass cage…"
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags3
uselessAdditionCount1
matches
0"Herrera shook, and the medallion clinked against his chest"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences15
tagDensity0.067
leniency0.133
rawRatio0
effectiveRatio0
83.5803%