NC Bench
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Run: 2026-09-03-01M1M2HDNB7FNY522RQPSTRS5N
Run Details
Model:
Qwen 3.8 27B (Reasoning, XHigh)
Test:
Bad Writing Habits
Scenario:
Thriller: chase through city streets
Duration:
9m 2s
Cost:
$0.032512
Provider:
Phala
Evaluation summary
Score
Evaluator
Details Link
100.00%
Adverbs in dialogue tags
(details)
100.00%
AI-ism adverb frequency
(details)
100.00%
AI-ism character names
(details)
100.00%
AI-ism location names
(details)
93.63%
AI-ism word frequency
(details)
100.00%
Cliché density
(details)
100.00%
Emotion telling (show vs. tell)
(details)
100.00%
Filter word density
(details)
100.00%
Gibberish response detection
(details)
100.00%
Markdown formatting overuse
(details)
100.00%
Missing dialogue indicators (quotation marks)
(details)
33.33%
Name drop frequency
(details)
100.00%
Narrator intent-glossing
(details)
72.61%
"Not X but Y" pattern overuse
(details)
100.00%
Overuse of "that" (subordinate clause padding)
(details)
100.00%
Paragraph length variance
(details)
100.00%
Passive voice overuse
(details)
100.00%
Past progressive (was/were + -ing) overuse
(details)
100.00%
Em-dash & semicolon overuse
(details)
100.00%
Purple prose (modifier overload)
(details)
100.00%
Repeated phrase echo
(details)
100.00%
Sentence length variance
(details)
39.43%
Sentence opener variety
(details)
25.45%
Adverb-first sentence starts
(details)
100.00%
Pronoun-first sentence starts
(details)
17.25%
Subject-first sentence starts
(details)
0.00%
Subordinate conjunction sentence starts
(details)
100.00%
Technical jargon density
(details)
100.00%
Useless dialogue additions
(details)
100.00%
Dialogue tag variety (said vs. fancy)
(details)
86.0567%
Overall
Model input
System
You are an expert and award-winning novel writer in the dark Thriller genre. Your readers are hooked on your stories and can't wait to read the book you have in store. <important> - MUST: Start each chapter in medias res (in the middle of action). AVOID talking about the weather, time of day, the position of the sun, or other boring stuff. - The instructions/summary are just a that, a summary. Feel free to add details, stretch sections and add interesting transitions/descriptions/fillers. - When called for it, have fast-paced action, but otherwise take things slow. This is an experience, and not for people with short attention spans. Enjoy the wine, not slurp Red Bull. - Add descriptions when transitioning places/times/etc, or when coming by new places (e.g. a corner shop, a cafe, etc.). But remember: NOT at the start or end of a chapter. - MUST: AVOID ending in internal monologue, reminiscing or waiting for the next day. A good chapter end is when we're ending right when shit hits the fan. We want to have the reader be excited for what comes next. So no reminiscing, contemplating or summarizing the day. It's popcorn time! </important>
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> <proseGuidelines> <styleGuide> - Write in past tense and use British English spelling and grammar - Keep a Flesch reading ease score of 60 - Respect the the Royal Order of Adjectives: The order is: opinion, size, age, shape, color, origin, material, purpose, followed by the noun itself (e.g., "a lovely little old rectangular green French silver whittling knife") - Respect the ablaut reduplication rule (e.g. tick-tock, flip-flop) - Write in active voice - Passive voice: <bad>The book was read by Sarah.</bad> - Active voice: <good>Sarah read the book.</good> - Reduce the use of passive verbs - <bad>For a moment, I was tempted to throw in the towel.</bad> - <good>For a moment, I felt tempted to throw in the towel.</good> - Avoid misplaced modifiers that can cause confusion when starting with "-ing" words: - <bad>Considering going to the store, the empty fridge reflected in Betty's eyes.</bad> - <good>Betty stared into the empty fridge. It was time to go to the store.</good> - Avoid redundant adverbs that state the obvious meaning already contained in the verb: - <bad>She whispered quietly to her mom.</bad> - <good>She whispered to her mom.</good> - Use stronger, more descriptive verbs over weak ones: - <bad>Daniel drove quickly to his mother's house.</bad> - <good>Daniel raced to his mother's house.</good> - Omit adverbs that don't add solid meaning like "extremely", "definitely", "truly", "very", "really": - <bad>The movie was extremely boring.</bad> - <good>The movie was dull.</good> - Use adverbs to replace clunky phrasing when they increase clarity: - <bad>He threw the bags into the corner in a rough manner.</bad> - <good>He threw the bags into the corner roughly.</good> - Avoid making simple thoughts needlessly complex: - <bad>After I woke up in the morning the other day, I went downstairs, turned on the stove, and made myself a very good omelet.</bad> - <good>I cooked a delicious omelet for breakfast yesterday morning.</good> - Never backload sentences by putting the main idea at the end: - <bad>I decided not to wear too many layers because it's really hot outside.</bad> - <good>It's sweltering outside today, so I dressed light.</good> - Omit nonessential details that don't contribute to the core meaning: - <bad>It doesn't matter what kind of coffee I buy, where it's from, or if it's organic or not—I need to have cream because I really don't like how the bitterness makes me feel.</bad> - <good>I add cream to my coffee because the bitter taste makes me feel unwell.</good> - Always follow the "show, don't tell" principle. For instance: - Telling: <bad>Michael was terribly afraid of the dark.</bad> - Showing: <good>Michael tensed as his mother switched off the light and left the room.</good>- Telling: <bad>I walked through the forest. It was already Fall, and I was getting cold.</bad> - Showing: <good>Dry orange leaves crunched under my feet. I pulled my coat's collar up and rubbed my hands together.</good>- Add sensory details (sight, smell, taste, sound, touch) to support the "showing" (but keep an active voice) - <bad>The room was filled with the scent of copper.</bad> - <good>Copper stung my nostrils. Blood. Recent.</good> - Use descriptive language more sporadically. While vivid descriptions are engaging, human writers often use them in bursts rather than consistently throughout a piece. When adding them, make them count! Like when we transition from one location to the next, or someone is reminiscing their past, or explaining a concept/their dream... - Avoid adverbs and clichés and overused/commonly used phrases. Aim for fresh and original descriptions. - Avoid writing all sentences in the typical subject, verb, object structure. Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. Like so: <good>Locked. Seems like someone doesn't want his secrets exposed. I can work with that.</good> - Convey events and story through dialogue. It is important to keep a unique voice for every character and make it consistent. - Write dialogue that reveals characters' personalities, motivations, emotions, and attitudes in an interesting and compelling manner - Leave dialogue unattributed. If needed, only use "he/she said" dialogue tags and convey people's actions or face expressions through their speech. Dialogue always is standalone, never part of a paragraph. Like so: - <bad>"I don't know," Helena said nonchalantly, shrugging her shoulders</bad> - <good>"No idea" "Why not? It was your responsibility"</good> - Avoid boring and mushy dialog and descriptions, have dialogue always continue the action, never stall or include unnecessary fluff. Vary the descriptions to not repeat yourself. Avoid conversations that are just "Let's go" "yes, let's" or "Are you ready?" "Yes I'm ready". Those are not interesting. Think hard about every situtation and word of text before writing dialogue. If it doesn't serve a purpose and it's just people talking about their day, leave it. No one wants to have a normal dinner scene, something needs to happen for it to be in the story. Words are expensive to print, so make sure they count! - Put dialogue on its own paragraph to separate scene and action. - Use body language to reveal hidden feelings and implied accusations- Imply feelings and thoughts, never state them directly - NEVER use indicators of uncertainty like "trying" or "maybe" - NEVER use em-dashes, use commas for asides instead </styleGuide> <voiceGuide> Each character in the story needs to have distinct speech patterns: - Word choice preferences - Sentence length tendencies - Cultural/educational influences - Verbal tics and catchphrases Learn how each person talks and continue in their style, and use their Codex entries as reference. <examples> - <bad>"We need to go now." "Yes, we should leave." "I agree."</bad> <good>"Time's up." "Indeed, our departure is rather overdue." "Whatever, let's bounce."</good> - Power Dynamic Example: <bad> "We need to discuss the contract." "Yes, let's talk about it." "I have concerns." </bad> <good> "A word about the contract." "Of course, Mr. Blackwood. Whatever you need." "The terms seem..." A manicured nail tapped the desk. "Inadequate." "I can explain every-" "Can you?" </good> </examples> </voiceGuide> <dialogueFlow> When writing dialogue, consider that it usually has a goal in mind, which gives it a certain flow. Make dialogue sections also quite snappy in the back and forth, and don't spread the lines out as much. It's good to have details before, after, or as a chunk in-between, but we don't want to have a trail of "dialogue breadcrumbs" spread throughout a conversation. <examples> - Pattern 1 - Question/Deflection/Revelation: <good> "Where were you last night?" "Work. The usual." "Lipstick's an interesting shade for spreadsheets." </good> - Pattern 2 - Statement/Contradiction/Escalation: <good> "Your brother's clean." "Tommy doesn't touch drugs." "I'm holding his tox screen." </good> - Pattern 3 - Observation/Denial/Truth: <good> "That's a new watch." "Birthday gift." "We both know what birthdays mean in this business." </good> - Example - A Simple Coffee Order: <bad> "I'll have a coffee." "What size?" "Large, please." </bad> <good> "Black coffee.""Size?""Large. Been a long night." "That bodega shooting?" "You watch too much news." "My brother owns that store." </good> This short exchange: - Advances plot (reveals connection to crime) - Shows character (cop working late) - Creates tension (unexpected connection) - Sets up future conflict (personal stake) - Example - Dinner Scene: <bad> "Pass the salt." "Here you go." "Thanks." </bad> <good> "Salt?" "Perfect as is. Mother's recipe." "Mother always did prefer... bland things." "Unlike your first wife?" </good> - Example - Office Small Talk: <bad> "Nice weather today." "Yes, very nice." "Good for golf." </bad> <good> "Perfect golf weather." "Shame about your membership." "Temporary suspension. Board meets next week." "I know. I called the vote." </good> </examples> </dialogueFlow> <subtextGuide> - Layer dialogue with hidden meaning: <bad>"I hate you!" she yelled angrily.</bad> <good>"I made your favorite dinner." The burnt pot sat accusingly on the stove.</good> - Create tension through indirect communication: <bad>"Are you cheating on me?"</bad> <good>"Late meeting again?" The lipstick stain on his collar caught the light.</good> <examples> - Example 1 - Unspoken Betrayal: <bad> "Did you tell them about our plans?" "No, I would never betray you." "I don't believe you." </bad> <good> "Funny. Johnson mentioned our expansion plans today." "The market's full of rumors." "Mentioned the exact numbers, actually." The pen in his hand snapped. </good> - Example 2 - Failed Marriage: <bad> "You're never home anymore." "I have to work late." "I miss you." </bad> <good> "Your dinner's in the microwave. Again." "Meetings ran long." "They always do." She folded the same shirt for the third time. </good> - Example 3 - Power Struggle: <bad> "You can't fire me." "I'm the boss." "I'll fight this." </bad> <good> "That's my father's nameplate you're sitting behind." "Was." "The board meeting's on Thursday." </good> </examples> </subtextGuide> <sceneDetail> While writing dialogue makes things more fun, sometimes we need to add detail to not have it be a full on theatre piece. <examples> - Example A (Power Dynamic Scene) <good> "Where's my money?" The ledger snapped shut. "I need more time." "Interesting." He pulled out a familiar gold pocket watch. My mother's. "Time is exactly what you bargained with last month." "That was different-" "Was it?" The watch dangled between us. "Four generations of O'Reillys have wound this every night. Your mother. Your grandmother. Your great-grandmother.Shall we see who winds it next?" </good> - Example B (Action Chase) It's much better to be in the head of the character experiencing it, showing a bit of their though-process, mannerisms and personality: <good> Three rules for surviving a goblin chase in Covent Garden: Don't run straight. Don't look back. Don't let them herd you underground. I broke the first rule at Drury Lane. Rookie mistake. The fruit cart I dodged sailed into the wall behind me. Glass shattered. Someone screamed about insurance. *Tourist season's getting rough*, the scream seemed to say. Londoners adapt fast. "Oi! Market's closed!" The goblin's accent was pure East End. They're evolving. Learning. I spotted the Warren Street tube station sign ahead. *Shit.* There went rule three. </good> - Example C (Crime Scene Investigation) <good> "Greek." Davies snapped photos of the symbols. "No, wait. Reverse Greek." "Someone's been watching too many horror films." I picked up a receipt from the floor. Occult supply shop in Camden. Paid by credit card. *Amateur hour*. "Could be dangerous though," Davies said. "Remember Bristol?" "Bristol was Sanskrit. And actual cultists." I pointed to the nearest symbol. "This genius wrote 'darkness' backwards but used a Sigma instead of an S. It's summoning Instagram followers at best." "Speaking of followers..." Davies pointed to heavy foot traffic in the dust. Multiple sets. All new trainers. *Ah.* "Anyone check local uni paranormal societies?" </good> - Example D (Dialogue-heavy) <good> "Found your card in her wallet." The detective slid it across the table. Worn edges. Folded corner. Three years old at least. "Standard practice. I work missing persons." "Funny thing about missing persons.Eventually they stop being missing. Turn up in the Thames. Under motorways. In pieces." "I don't-" "You found four last year. All breathing." She opened a file. "This would've been your first dead one. If we hadn't found her first." The card felt heavier somehow. </good> </examples> </sceneDetail> <sceneOpenings> KEY RULE: Never open with more than one paragraph of description, no matter how beautiful. Description should be earned through action and dialogue. Instead of opening with setting description, open with: - A character doing something specific - A line of dialogue that raises questions - An unexpected observation - A moment of tension or conflict - Start with a hook that's 1-2 sentences maximum - Follow with a smaller paragraph that provides immediate context - Vary paragraph size from the start to create visual interest </sceneOpenings> </proseGuidelines> Write a chapter based on 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
Messages
Meta
AI
The man in the grey
coat shouldered through the Raven's Nest bookshelf, and Harlow Quinn went after him before the oak had finished swinging. Behind her, the bar's low lights caught the green neon through a cracked window. Quinn did not look back.
She crossed the hidden room
in three steps, past the black and white photographs, past the pinned maps with their red thread, and took the narrow service door by the force of her shoulder.
The man was already in
the alley.
Water streamed off the hood
of a parked van and cut the light in thin lines.
He moved like water, sliding
around a collapsed bin and into the mouth of Wardour Street, where a row of closed shops waited under dead shutters. At the alley mouth, a small object spun from his coat and stopped at Quinn's boot.
A bone token, flat as
a thumbnail, cold in her glove.
She closed her hand around
it. "Detective."
The man did not turn
.
His voice came from the
dark street, unhurried. "You have the token." "Last chance."
Quinn brought the pistol level
with her hip. "Turn around." "I'd rather not." "He was my partner."
The street went quiet except
for the wash over the gutters. The man finally turned.
He stood in the pale
ring of a streetlight, and his face had no name on it. No scar Quinn recognised, no tattoo she could photograph, no expression that would survive the report.
He raised a hand, not
in surrender, but to show the token in his other palm. Another bone, dark and notched. "Morris is gone." Quinn's finger tightened. "That's what the fire said." "The fire lies for the living."
The word living hit the
damp air and stayed. Quinn's radio crackled once. A dead channel. She ignored it. The man pressed his token to the shuttered door of a camera shop and the iron frame shivered. The bolts did not slide. Something inside the wall moved, a soft grinding of old stone beneath plaster, and the shutter swallowed the token and opened a gap no wider than a knife. "Follow if you must."
He kept his voice flat
. "But the market does not keep what it takes." He stepped through. Quinn stood for one heartbeat. The service door of the Raven's Nest creaked behind her. Through it, a bottle hit the floor. A woman's shout, cut short. The bar was not her problem now. The token in her palm had warmed.
Its edge pressed a thin
line into her skin. She went after him. The gap swallowed her into a narrow lane behind the shop. The lane had no name, no street number, no drain that ran to the river.
It slanted down through wet
leaves and the sour smell of crushed mint. The man ahead moved with a barman's easy step, and Quinn forced herself to the same pace.
She had been through enough
riots, stabbings, and basement warehouses to
know that panic
made your breathing loud. She kept her pistol low, her left hand on the token, and counted the corners. One. Two. A fire escape. Three. A dead end made of stacked crates and a green plastic sign from a shuttered fishmonger's. The sign read THE RAVEN'S NEST again, but the letters
were scratched
out. Beneath it, a blue tube tile glowed in the rain. Camden. The disused entrance had
been bricked
up for years. Quinn remembered the map from the briefing. A hollow space under the arch, a maintenance stair, and a platform the council had sealed after a flood.
She had not believed the
map. She believed the token now. The man reached a black iron door set into the brick.
It had no handle, only
a small socket shaped like a thumb. He pressed the token home. Stone groaned. The door did not open outward.
It opened inward, like a
throat. Quinn reached him as the gap widened. The smell inside was not the smell of an abandoned Tube station. It smelled of old paper, wet dog, aniseed, and blood left too long on a steel table. A low hum moved through the floor,
not the hum of a line, but the hum of many people breathing at once
. "Wait." The voice came from the dark below. Tomás Herrera stood at the top of the stair, his white coat stained with rust coloured spots, a Saint Christopher medallion swinging against his chest. He held a cloth wrapped around a forearm, but his free hand carried a metal scalpel. "Doctor Quinn." "Tomás." Quinn stepped onto the first stair. "You know him." "I know what he sells." "He's the man who killed Morris." Tomás's jaw moved. He looked past Quinn, into the dark, as if the dark had a chart of his
pulse
. "Many men have killed DS Morris. The question is whether the body is still listening." "Where is he?" "Below. The market opens before the moon moves. If you go down, you go as a buyer, a seller, or a witness. There is no fourth." Quinn's hand closed around the pistol. "He has my badge number." "Yes." "That means he knows I'm coming." "Yes." Tomás stepped closer. The medallion struck his belt. "The token will let you in once. It will not let you out." "The token is the only proof I have that the fire was not an accident." "The token is the only thing keeping the door honest." He took her wrist. His fingers were steady, but his eyes were not. "You are bleeding." Quinn looked at the line of red on her palm. She had not felt it. "Take me to him." "I can take you to the platform. I cannot take you into the crowd." The iron door swung wider. A woman in a grey wool coat walked up the stair with a cane of black wood. She was old, but her step had no age in it. She carried a cloth bundle under one arm and a paper bag of raw meat under the other. "Detective," the woman said. "You bring a wound into a market that feeds." "Stay out of my path." The woman did not stop. She touched Quinn's shoulder with one dry finger. The air between them tightened. Quinn's knee buckled for an inch. She caught the rail. "Morris's boy," the woman said, looking at the token in Quinn's palm, "is not yours to sell." "Morris is gone." "Then sell him." The woman descended. Quinn followed before the stair could finish its slow turning. Below, the abandoned platform opened like the inside of a skull. Tiles ran along the walls, blue and chipped. The old destination sign above the line had been cut in half. Stalls stood in loose rows, cloth draped over trestle tables, lanterns hung from hooks that should not have held
weight
. People moved between the tables. Some had faces. Some had only the rough idea of faces, stretched thin over too many joints. A child with a dog's eyes watched the entrance. A man in a railway uniform sold salt from a jar. No one carried a bag. No one carried a ticket. The smell of aniseed grew stronger. Tomás moved beside Quinn. "Do not look at the salt man. Do not touch the cloth. If your name is called, do not answer." "Who is calling my name?" "Someone will learn it." At the far end of the platform, the man in the grey coat stood behind a table of black glass. In front of him sat a small wooden box. The box was open. Inside lay a service pistol, a silver watch with a cracked face, and a folded police report. Quinn recognised the watch. Morris had bought it in a charity shop in Brixton for two pounds. He had never wound it. The man saw her. "Detective." The market stopped. Not all at once. The sound rolled away from the table, stall by stall, until the only noise left was the drip from the platform edge and the wet breathing of the crowd. The child with the dog's eyes looked up. The salt man turned. The old woman's lantern went out, but the dark around it did not. "Give me the token," the man said. "Give me my partner." The man smiled. He reached into the wooden box and lifted the cracked watch. He set it on the glass with a click. "Morris came to the market once," he said. "He asked me to take him to the door. I told him the door would take more than he could pay. He paid anyway." Quinn's pistol rose. "Where is the body?" "There is no body." The man leaned forward. "That is the problem." Behind him, the platform lights dropped. The black glass table showed their reflections, and in the reflection the man's coat was not grey. It was soaked, dark, and open at the throat. Under it, a scar ran across his collarbone. Quinn had
seen that scar
in the fire report. She had drawn it in her notes, then crossed it out. Tomás's scalpel appeared in his hand. "Move," he said.
The man in the grey
coat did not move. He raised the watch, and the cracked face showed a time that had not come yet. The old woman's voice came from the dark, close as a needle. "The market is open." Then the crowd moved.
created_at
"2026-09-03T16:44:53.812Z"
9/3/2026, 4:44:53 PM
model
"qwen/qwen3.8-27b-20260814"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
756
moderation_latency
(null)
generation_time
541487
tokens_prompt
4484
tokens_completion
10245
native_tokens_prompt
4588
native_tokens_completion
10233
native_tokens_completion_images
(null)
native_tokens_reasoning
8193
native_tokens_cached
64
num_media_prompt
(null)
num_input_audio_prompt
(null)
num_media_completion
0
num_search_results
(null)
num_fetches
(null)
web_search_engine
(null)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"stop"
service_tier
(null)
usage
0.0325118
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788453893-65XFhiszh0C4abXk1vc2"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788453893-FxNPZP0zc1QqJkxES3RZ"
upstream_id
"req_63e6b779bb8423609c8ec029969240dd"
provider_responses
0
endpoint_id
"cfc4d0ca-df7c-4b5f-9c74-328c41a7cbc3"
id
"req_63e6b779bb8423609c8ec029969240dd"
is_byok
false
latency
756
model_permaslug
"qwen/qwen3.8-27b-20260814"
provider_name
"Phala"
status
200
total_cost
0.0325118
cache_discount
0.0000224
upstream_inference_cost
0
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
totalTags
12
adverbTagCount
0
adverbTags
(empty)
dialogueSentences
49
tagDensity
0.245
leniency
0.49
rawRatio
0
effectiveRatio
0
100.00%
AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount
1570
totalAiIsmAdverbs
0
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)
93.63%
AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount
1570
totalAiIsms
2
found
0
word
"pulse"
count
1
1
word
"weight"
count
1
highlights
0
"pulse"
1
"weight"
100.00%
Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches
0
maxInWindow
0
found
(empty)
highlights
(empty)
100.00%
Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells
0
narrationSentences
138
matches
(empty)
100.00%
Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount
0
hedgeCount
0
narrationSentences
138
filterMatches
(empty)
hedgeMatches
(empty)
100.00%
Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences
175
gibberishSentences
0
adjustedGibberishSentences
0
longSentenceCount
0
runOnParagraphCount
0
giantParagraphCount
0
wordSaladCount
0
repetitionLoopCount
0
controlTokenCount
0
repeatedSegmentCount
0
maxSentenceWordsSeen
34
ratio
0
matches
(empty)
100.00%
Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans
0
markdownWords
0
totalWords
1570
ratio
0
matches
(empty)
100.00%
Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions
10
unquotedAttributions
0
matches
(empty)
33.33%
Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions
40
wordCount
1280
uniqueNames
12
maxNameDensity
1.8
worstName
"Quinn"
maxWindowNameDensity
4
worstWindowName
"Quinn"
discoveredNames
Raven
2
Nest
2
Harlow
1
Quinn
23
Wardour
1
Street
1
Tube
1
Herrera
1
Saint
1
Christopher
1
Tomás
5
Brixton
1
persons
0
"Raven"
1
"Nest"
2
"Harlow"
3
"Quinn"
4
"Herrera"
5
"Saint"
6
"Christopher"
7
"Tomás"
places
0
"Wardour"
1
"Street"
2
"Brixton"
globalScore
0.602
windowScore
0.333
100.00%
Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences
86
glossingSentenceCount
0
matches
(empty)
72.61%
"Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches
2
per1kWords
1.274
wordCount
1570
matches
0
"not in surrender, but to show the token in his other palm"
1
"not the hum of a line, but the hum of many people breathing at once"
100.00%
Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount
2
totalSentences
175
matches
0
"know that panic"
1
"seen that scar"
100.00%
Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs
67
mean
23.43
std
25.4
cv
1.084
sampleLengths
0
24
1
53
2
49
3
33
4
18
5
12
6
3
7
4
8
69
9
3
10
8
11
6
12
70
13
18
14
3
15
50
16
4
17
111
18
23
19
47
20
42
21
58
22
1
23
48
24
2
25
10
26
5
27
6
28
35
29
3
30
26
31
11
32
1
33
6
34
1
35
21
36
15
37
26
38
19
39
14
40
51
41
13
42
5
43
28
44
17
45
3
46
6
47
113
48
6
49
24
100.00%
Passive voice overuse
Target: ≤2% passive sentences
passiveCount
2
totalSentences
138
matches
0
"were scratched"
1
"been bricked"
100.00%
Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount
0
totalVerbs
191
matches
(empty)
100.00%
Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount
0
semicolonCount
0
flaggedSentences
0
totalSentences
175
ratio
0
matches
(empty)
100.00%
Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount
1280
adjectiveStacks
0
stackExamples
(empty)
adverbCount
22
adverbRatio
0.0171875
lyAdverbCount
4
lyAdverbRatio
0.003125
100.00%
Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences
175
echoCount
0
echoWords
(empty)
100.00%
Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences
175
mean
8.97
std
6.38
cv
0.711
sampleLengths
0
24
1
14
2
5
3
34
4
7
5
16
6
26
7
16
8
11
9
6
10
6
11
8
12
4
13
10
14
2
15
3
16
4
17
11
18
4
19
17
20
16
21
16
22
5
23
3
24
3
25
5
26
6
27
9
28
4
29
3
30
3
31
18
32
5
33
28
34
9
35
9
36
3
37
5
38
10
39
7
40
5
41
7
42
7
43
9
44
4
45
11
46
15
47
13
48
17
49
18
39.43%
Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats
21
diversityRatio
0.30857142857142855
totalSentences
175
uniqueOpeners
54
25.45%
Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount
1
totalSentences
131
matches
0
"Then the crowd moved."
ratio
0.008
100.00%
Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount
35
totalSentences
131
matches
0
"She crossed the hidden room"
1
"He moved like water, sliding"
2
"She closed her hand around"
3
"His voice came from the"
4
"He stood in the pale"
5
"He raised a hand, not"
6
"She ignored it."
7
"He kept his voice flat"
8
"He stepped through."
9
"Its edge pressed a thin"
10
"She went after him."
11
"It slanted down through wet"
12
"She had been through enough"
13
"She kept her pistol low,"
14
"She had not believed the"
15
"She believed the token now."
16
"It had no handle, only"
17
"He pressed the token home."
18
"It opened inward, like a"
19
"It smelled of old paper,"
ratio
0.267
17.25%
Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount
116
totalSentences
131
matches
0
"The man in the grey"
1
"Quinn did not look back."
2
"She crossed the hidden room"
3
"The man was already in"
4
"Water streamed off the hood"
5
"He moved like water, sliding"
6
"A bone token, flat as"
7
"She closed her hand around"
8
"The man did not turn"
9
"His voice came from the"
10
"Quinn brought the pistol level"
11
"The street went quiet except"
12
"The man finally turned."
13
"He stood in the pale"
14
"He raised a hand, not"
15
"Another bone, dark and notched."
16
"Quinn's finger tightened."
17
"The word living hit the"
18
"Quinn's radio crackled once."
19
"A dead channel."
ratio
0.885
0.00%
Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount
0
totalSentences
131
matches
(empty)
ratio
0
100.00%
Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences
52
technicalSentenceCount
0
matches
(empty)
100.00%
Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags
12
uselessAdditionCount
0
matches
(empty)
100.00%
Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags
5
fancyCount
0
fancyTags
(empty)
dialogueSentences
49
tagDensity
0.102
leniency
0.204
rawRatio
0
effectiveRatio
0
86.0567%