Run: 2026-09-03-01M1M1Q293D3NQ15RHGQ3VVRRW

Run Details

Duration:
3m 44s
Cost:
$0.030530
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
Rain came down over Soho and turned the cobbles into black glass. Quinn kept the charcoal coat at two car lengths, her closely cropped hair plastered to her skull, the worn leather watch on her left wrist ticking against the cold. The coat had come out of the Raven's Nest twenty minutes earlier, the green neon still burning through the wet air, and now it crossed toward Camden with the steady pace of a man who had already sold something he could not buy back. Quinn's phone buzzed against her chest. She let the screen die. "Quinn, control." The radio crackled. "Last signal on the witness left Camden Town. You're outside the grid." "Copy." Quinn wiped rain from her sharp jaw. "If it moves, I move." "Be advised, no active warrant covers that sector." "I know the law." She cut the channel. The charcoal coat ducked beneath a bridge arch. Quinn followed. Shop shutters stood closed. A dog lifted its head from a doorway and then lowered it. The coat did not stop. It stopped at a service gate set into a brick wall near Camden Lock. The gate bore no number, no sign, only a rusted pull ring. The man pushed through without turning. Quinn heard the hinge scream, then silence. She crossed the last six paces and yanked the gate open. A narrow staircase led down. The rain stayed above her. A low hum rose through the concrete steps. Quinn pulled her service pistol from her waistband, checked the cylinder, and descended with the exactness of a woman who had learned to move before fear found her. At the bottom, a corridor opened. The ceiling arched into the old Tube tunnel, black bricks sweating condensation. The dark broke into lanterns, each flame green or blue or the pale yellow of tallow. Stalls lined the tunnel, canvas flaps lifted like lips. Jars of amber fluid sat in wooden crates. Bundles of dried herb hung from the eaves. Chains draped over tables, each tag hand-carved from bone. A man with a brass prosthesis weighed a scale. A woman in a grey cloak rolled a scroll stamped with red wax. A boy with black eyes fed copper coins to a small grey thing that moved like a cat but had no tail. This was the Veil Market. It moved every full moon, and tonight it had chosen the abandoned Tube station beneath Camden. Entry required a bone token. Quinn had no token. The charcoal coat reached a stall near the centre. A pale woman in a high-collared coat leaned over the display. The man set a leather pouch on the table and opened it. Inside lay a bone token, carved thin as a key, and three small glass vials that caught the lantern light. "You promised no questions." The woman's voice reached the back of the tunnel. "I promised nothing." The man smiled. "I delivered." Quinn's hand tightened on her pistol. A man in a stained white shirt stepped between the stall and the tunnel mouth. His dark curls were damp. A Saint Christopher medallion hung over his chest. A knife scar ran along his left forearm. He looked at Quinn, then at the charcoal coat, then back at her. "Detective." His face stayed flat. "You brought the rain in." "Tomás Herrera." "Ex-paramedic." He spread his hands. "You lost your licence years ago, or is this a costume?" "My licence is in a drawer at St Thomas." "Then this is a problem." The charcoal coat glanced back. Quinn saw his face. Thin. Younger than the sketch in her file. A cut across his eyebrow wept clear blood. His fingers wore a black thread bracelet, frayed at the edges. "Tomás," the coat said. "Tell her to leave." Herrera turned to the man. "You sold the vials from the Market to an officer's file. Do you know what she will do with them?" "I know what she will do with me." "No. She will take whatever she can and call it evidence." Quinn stepped forward. "Move aside." "Move your hand away from the tunnel." Herrera kept his voice level. "There is no police cordon down here. No camera. No body bag waiting. The Market moves at the full moon. You follow him, you become part of the stock." "You work for them." "I keep them alive. I am not a guard. I am not a broker. I am the reason some of them still draw breath when the dose goes wrong." The pale woman at the stall lifted a vial and held it to the light. The liquid inside swirled. "Detective," she said, "you have no token." "I have a warrant." The woman laughed. "A warrant." The man in the charcoal coat gathered the pouch. "The deal is closed. I want out." "Not until she answers." The woman pointed the vial at Quinn. "If you take her, we take the vials back." "You will take nothing." Quinn took one step closer. "You will give me the vials, the token, and the name of the person you sold them to." The woman tilted her head. "And if I refuse?" Quinn's pistol rose two inches. "Then I take your coat, your name, and your teeth." Herrera caught her sleeve. "Enough." "Do not touch me." "I am the only person here who can keep you from dying." The charcoal coat slipped past the end of the stall. He moved through the crowd with the ease of someone who had learned every seam in the tunnel. Quinn followed, keeping to the shadows. The Market opened into a wider chamber beneath the river arches. A long counter of black wood ran along one side. Behind it, a man with a wax-sealed notebook logged names. Three customers waited. A child sat on a crate, watching a glass jar of black water. Quinn found the charcoal coat at a low door set into the far wall. The door stood open. Two figures waited inside the shadow beyond it. A broad-shouldered woman in a leather apron. A thin man with a silver tooth. The coat placed the pouch on a stone ledge and reached for the iron handle. Quinn's breath stopped. The leather apron bore a faded stamp: St Crispin's. The silver tooth caught the lantern light. She had seen both in the photographs from the Morris case. "Wait." Herrera stopped at her elbow. "Did you know them?" "I knew their work." "Knew?" "Dead patients do not tell stories." The broad-shouldered woman looked up from the door. "Herrera. You brought company." "I brought a problem." "Problems are sold here." Quinn raised her pistol one hand's width. "Metropolitan Police. Put your hands where I can see them." The thin man smiled. "Officer. No, no. We are in a private space." "Then we will make it public." Quinn gestured at the lanterns. "All of it." The broad-shouldered woman leaned back. "You do not have a search warrant. You do not have a warrant of any kind." Quinn looked at the door. The stone ledge held the open pouch. The bone token glinted. The two figures inside the doorway waited. "I have a missing partner." The thin man's smile widened. "Morris." The charcoal coat pushed the door wider. "This is not the place." "Sit." The broad-shouldered woman reached for the pouch. "I am done." "Sit." He stepped inside. Quinn moved to the door. The black water in the jar behind her rippled. Herrera caught her wrist with his left hand, the scar visible from the sleeve. "If you cross that door, the Market changes," he said. "I can get you out. One minute, you are gone." "Where?" "Back to the rain. Back to the street. Back to your case, which will close with a missing witness and no body." "The vials." "Will disappear." "The token." "Will disappear." "Morris." Herrera's jaw set. "I do not know where he is." Quinn looked at the two figures in the doorway. She looked at the open pouch on the ledge. She looked at the iron handle, still warm from the charcoal coat's grip. She released Herrera's wrist. She stepped through the door.
created_at"2026-09-03T16:30:30.186Z" 9/3/2026, 4:30:30 PM
model"qwen/qwen3.8-27b-20260814"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency452
moderation_latency(null)
generation_time224080
tokens_prompt1104
tokens_completion10259
native_tokens_prompt1171
native_tokens_completion10028
native_tokens_completion_images(null)
native_tokens_reasoning8193
native_tokens_cached64
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)
usage0.03053
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788453030-LbiQIN5C4eVAqyZtusf6"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788453030-7ZN24VaSPrelejjVK6GK"
upstream_id"req_04c8b97438c7d8857a996be5e5c1901a"
provider_responses
0
endpoint_id"cfc4d0ca-df7c-4b5f-9c74-328c41a7cbc3"
id"req_04c8b97438c7d8857a996be5e5c1901a"
is_byokfalse
latency451
model_permaslug"qwen/qwen3.8-27b-20260814"
provider_name"Phala"
status200
total_cost0.03053
cache_discount0.0000224
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
totalTags15
adverbTagCount0
adverbTags(empty)
dialogueSentences68
tagDensity0.221
leniency0.441
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1354
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)
92.61% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1354
totalAiIsms2
found
0
word"silence"
count1
1
word"eyebrow"
count1
highlights
0"silence"
1"eyebrow"
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
narrationSentences112
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences112
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences165
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen44
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1354
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions11
unquotedAttributions0
matches(empty)
32.35% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions46
wordCount935
uniqueNames15
maxNameDensity2.35
worstName"Quinn"
maxWindowNameDensity3.5
worstWindowName"Quinn"
discoveredNames
Soho1
Raven1
Nest1
Camden3
Quinn22
Lock1
Tube2
Veil1
Market2
Saint1
Christopher1
Herrera7
St1
Crispin1
Morris1
persons
0"Raven"
1"Quinn"
2"Market"
3"Saint"
4"Christopher"
5"Herrera"
6"Crispin"
7"Morris"
places
0"Soho"
1"Camden"
2"St"
globalScore0.324
windowScore0.5
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences67
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1354
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences165
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs77
mean17.58
std20.9
cv1.189
sampleLengths
085
111
217
313
48
54
674
711
846
9112
1030
1152
1213
138
146
1549
1610
172
1816
199
205
2136
228
2325
248
2511
265
2741
284
2929
3019
317
324
335
3416
3520
3627
379
3815
395
404
4112
4281
4355
4430
456
464
474
481
496
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences112
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs149
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences165
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount942
adjectiveStacks0
stackExamples(empty)
adverbCount15
adverbRatio0.01592356687898089
lyAdverbCount2
lyAdverbRatio0.0021231422505307855
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences165
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences165
mean8.21
std6.13
cv0.747
sampleLengths
012
129
244
36
45
55
612
78
85
98
104
114
128
132
144
1512
165
1714
1812
196
207
2111
225
235
248
2528
266
2712
2816
299
308
318
329
339
3413
3522
365
3716
385
394
409
4111
4212
4320
4413
456
462
476
4815
495
45.25% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats17
diversityRatio0.3333333333333333
totalSentences165
uniqueOpeners55
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences108
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount17
totalSentences108
matches
0"She let the screen die."
1"She cut the channel."
2"It stopped at a service"
3"She crossed the last six"
4"It moved every full moon,"
5"His dark curls were damp."
6"He looked at Quinn, then"
7"His face stayed flat"
8"He spread his hands"
9"His fingers wore a black"
10"He moved through the crowd"
11"She had seen both in"
12"He stepped inside."
13"She looked at the open"
14"She looked at the iron"
15"She released Herrera's wrist."
16"She stepped through the door."
ratio0.157
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount100
totalSentences108
matches
0"Rain came down over Soho"
1"Quinn kept the charcoal coat"
2"The coat had come out"
3"Quinn's phone buzzed against her"
4"She let the screen die."
5"The radio crackled"
6"Quinn wiped rain from her"
7"She cut the channel."
8"The charcoal coat ducked beneath"
9"A dog lifted its head"
10"The coat did not stop."
11"It stopped at a service"
12"The gate bore no number,"
13"The man pushed through without"
14"Quinn heard the hinge scream,"
15"She crossed the last six"
16"A narrow staircase led down."
17"The rain stayed above her."
18"A low hum rose through"
19"Quinn pulled her service pistol"
ratio0.926
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences108
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences32
technicalSentenceCount1
matches
0"The coat had come out of the Raven's Nest twenty minutes earlier, the green neon still burning through the wet air, and now it crossed toward Camden with the st…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags15
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount0
fancyTags(empty)
dialogueSentences68
tagDensity0.044
leniency0.088
rawRatio0
effectiveRatio0
85.6740%