NC Bench
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Run: 2026-09-02-01M1GSZB1G5K3TE3B3ASYRVFST
Run Details
Model:
Z.AI GLM 5.3 (Reasoning, Max)
Test:
Bad Writing Habits
Scenario:
Thriller: chase through city streets
Duration:
6m 44s
Cost:
$0.086101
Provider:
Z.AI
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)
82.49%
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)
100.00%
Name drop frequency
(details)
100.00%
Narrator intent-glossing
(details)
100.00%
"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)
68.99%
Sentence opener variety
(details)
97.09%
Adverb-first sentence starts
(details)
100.00%
Pronoun-first sentence starts
(details)
100.00%
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)
94.9524%
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
"Police. Stop." Rain ate both words.
Herrera cleared the railings at
Camden Lock with the bag cinched to his chest, and Quinn cleared them a breath behind, warrant card still crushed in her fist. Six weeks she'd waited
on that bag
. Three victims in eighteen months, all stitched, all dumped, all still breathing. Dental wire in a dockworker's shoulder. Veterinary suture in a student's thigh. One witness, dosed on something that kept her smiling, describing curly hair, olive skin, and a saint swinging on a chain.
The same face Quinn had
photographed a dozen times outside the Raven's Nest, that green neon wound in Soho she'd been circling for months. Tonight the bag had moved.
Tonight it moved at a
sprint.
The towpath ran black and
glossy, rain needling the canal beside it.
Herrera ran light on his
toes, zig-zagging between mooring poles like the route was a prayer he knew by heart. No panic in the man.
That worried her more than
his pace. Panicked men trip. Panicked men choose badly.
This one chose well, corner
after corner, gate after gate. So she stopped chasing his heels and started chasing his route.
He would take the next
left because it was fastest.
She took the fence line
and the lock keeper's yard, and arrived in time to see him vault a delivery bike and keep going. "Control, Sierra nine-two. Foot pursuit, male, towpath eastbound from Camden Lock, towards Hawley Road. Units, please." Static.
She tried again under the
railway bridge, where the arches swallowed what remained of the sky. Nothing. Not even squelch. Down here the airwaves belonged to the pigeons and the damp.
Herrera took the far steps
two at a time and hauled her back up to street level. Chalk Farm Road. Shuttered vinyl shops, doner grease, sodden cardboard.
A drunk under a pub
awning applauded them both as they passed.
A wheeled bin came spinning
out of an alley mouth at her knees.
She hurdled it, landed badly
on wet flagstone, and kept her feet with one hand on a drainpipe. Ahead, the runner's medallion swung free of his collar and caught the blue glare of a cash machine. One bright flash.
Then the gap between two
shuttered units swallowed him whole.
She reached the gap and
stopped. Warm air breathed out of it. Sweet, spiced, wrong for a building site, wrong for a hole beneath Camden. Beneath the sweetness sat copper, old and flat, the smell of coins gripped too long in a fist.
Backup sat twenty minutes out
at best, and that assumed anyone had heard her last transmission. In twenty minutes Herrera would be a memory. Or she would be a report.
She thumbed the worn leather
band of her
watch
. Ninety seconds since the radio died.
Her pulse kept its own
count, steadier than it had any right to be. The last time she'd followed a man below street level, she'd come up alone. Quinn clicked on her torch and went in. The stairwell behind the hoarding ate her
footsteps
. Glazed brown tiles sweated condensation. A poster advertised a gig older than half her suspects, its corners furred with mould. A chain and padlock hung cut and rusted flat, opened so long ago that nobody had bothered replacing either.
She slid her baton free
with her right hand, and the click of it extending was the loudest thing in the stairwell. The steps dropped past the torch's reach, and beneath them waited a murmur. A crowd murmur. A thin bell. A ripple of applause, gone before she could doubt it. The air warmed with every step. The sweetness thickened. The copper thickened with it. At the bottom, a service corridor of cable trays and dripping pipes ran towards a seam of amber light. In front of the seam stood a steel door with no handle, and in front of the door stood a mountain in a grey wool coat. Quinn killed her torch and pressed into the shadow of a bend. Herrera reached the mountain and stopped, hands on his knees, chest working. From under his collar, beside the medallion, he drew a token, pale and thumb-sized and carved all over. The mountain held out one long grey palm. Herrera set the token on it. The mountain bit the token the way a shopkeeper bites a coin, considered the flavour, and nodded. The steel opened a slit. Amber light poured over Herrera's shoulders, and with it came noise, a market's worth of voices, glass on glass, that thin bell again.
He paused on the threshold
and looked back up the corridor, straight at her bend in the dark, and held the look one beat too long for comfort. Then he stepped through. The door boomed shut, and the mountain folded its arms. Quinn counted to ten.
Then she walked the corridor
with her warrant card already raised, because eighteen years had taught her that hesitation read as guilt. "Stop there." "Met Police. The man who just went in, I need him in connection with three serious woundings. None of the victims ever saw a hospital. He's my only link." Long grey fingers took the card and turned it in the seam of light. The mountain read it the way a priest reads a bible in a language he distrusts.
His eyes caught the light
and gave it back gold, the way a cat's do. "Harlow Quinn." "Detective Quinn. And I'll be having that back." "This far down, the only law is bone." The voice ran flat as a timetable. "No bone. No entry." "There are units on Chalk Farm Road as we speak." "There is static on Chalk Farm Road." The mountain leaned down and breathed her in, slow, the way a dog reads a stranger. "Warrant and war. Same smell, down here."
He smiled, showing small, even
teeth, and a few too many of them. "Static is not law." The steel cracked open behind one grey shoulder. Herrera filled the gap, bag straps wound round both fists, and his face went the grey of the old tiles. "Dios mío." "She carries no bone." "She's my patient." "She followed you." "Then I'm a terrible runner and a worse medic. Madre santa, of course she followed me. Look at her arm." "My arm's fine, and I'm not playing patient for a suspect." "You fell on the towpath."
He turned to her and
dropped his voice, fast and level, the voice of a man talking a jumper off a ledge. "You fell, I stitched you in a doorway, and the concussion explains the talking. Eyes down. Buy nothing. Haggle for nothing. Touch nothing that touches back. If I say move, you move, and you do not stop to arrest anybody. Not tonight." "Those are a lot of rules for a legal establishment." "Then you're not a patient."
He looked at the mountain
. "You're meat with a warrant card. She's with me." "Her entry goes on your ledger, Herrera." "Put it on Silas's." Silas. The name sat in her notebook, block capitals, circled twice, never
charged
. The hairs on her arms lifted beneath her sleeve. Herrera drew a second token from under his collar and set it on the grey palm. The mountain bit, considered, nodded, and stepped aside. The steel door swung wide. "Whatever happens," Herrera said, "you followed me. Tell them you followed me. It's the only thing down here that keeps you breathing." Backup was static. The case
was standing
in a doorway, waiting for her. Quinn stepped over the threshold. The market unfolded below. The dead platform and ticket hall had grown a second city. Lanterns hung on strung wire above stalls packed along the track bed. Cold blue flames burned under copper pans. Bottles ranked on shelves, tar-black and lamp-oil yellow, their labels written in no alphabet the Met had ever taught her. A chalkboard priced its goods in symbols, an eye, an hourglass, a tooth. At one stall a woman spooled whispers off a reel and
measured
them against a tailor's tape, selling them by the inch. Far down the black tunnel, something large shifted its
weight
, and the lanterns nearest it dipped. The hush went out from the doorway like a ripple across a pond. Voices first, then glass, then the bell. Stallholders turned as one. A cage of pale moths stopped beating mid-word. From somewhere deep in the dark came a voice, old and warm and pleased with itself. "Harlow Quinn. You're late." Beside her, Herrera pressed the medallion to his lips. "Don't answer that."
created_at
"2026-09-02T10:17:29.404Z"
9/2/2026, 10:17:29 AM
model
"z-ai/glm-5.3-20260816"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
3046
moderation_latency
(null)
generation_time
404045
tokens_prompt
4484
tokens_completion
19509
native_tokens_prompt
4200
native_tokens_completion
18232
native_tokens_completion_images
(null)
native_tokens_reasoning
16398
native_tokens_cached
0
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
0.0861008
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788344249-oNdM8DDQDaO5KRHyObS2"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788344249-HH30BwXrbKNLBQ8qZILw"
upstream_id
"20260902181729c66732fe14c74b4c"
provider_responses
0
endpoint_id
"db975786-e7f6-4838-9e56-3e0b77f1bdc2"
id
"20260902181729c66732fe14c74b4c"
is_byok
false
latency
3046
model_permaslug
"z-ai/glm-5.3-20260816"
provider_name
"Z.AI"
status
200
total_cost
0.0861008
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Z.AI"
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
6
adverbTagCount
0
adverbTags
(empty)
dialogueSentences
28
tagDensity
0.214
leniency
0.429
rawRatio
0
effectiveRatio
0
100.00%
AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount
1428
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)
82.49%
AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount
1428
totalAiIsms
5
found
0
word
"pulse"
count
1
1
word
"footsteps"
count
1
2
word
"charged"
count
1
3
word
"measured"
count
1
4
word
"weight"
count
1
highlights
0
"pulse"
1
"footsteps"
2
"charged"
3
"measured"
4
"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
107
matches
(empty)
100.00%
Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount
1
hedgeCount
0
narrationSentences
107
filterMatches
0
"watch"
hedgeMatches
(empty)
100.00%
Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences
129
gibberishSentences
0
adjustedGibberishSentences
0
longSentenceCount
0
runOnParagraphCount
0
giantParagraphCount
0
wordSaladCount
0
repetitionLoopCount
0
controlTokenCount
0
repeatedSegmentCount
0
maxSentenceWordsSeen
42
ratio
0
matches
(empty)
100.00%
Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans
0
markdownWords
0
totalWords
1428
ratio
0
matches
(empty)
100.00%
Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions
6
unquotedAttributions
0
matches
(empty)
100.00%
Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions
29
wordCount
1177
uniqueNames
12
maxNameDensity
0.93
worstName
"Herrera"
maxWindowNameDensity
1.5
worstWindowName
"Herrera"
discoveredNames
Camden
2
Lock
1
Quinn
6
Raven
1
Nest
1
Soho
1
Farm
1
Road
1
Herrera
11
Silas
1
Backup
2
Met
1
persons
0
"Quinn"
1
"Herrera"
2
"Backup"
3
"Met"
places
0
"Camden"
1
"Raven"
2
"Soho"
3
"Farm"
4
"Road"
5
"Silas"
globalScore
1
windowScore
1
100.00%
Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences
81
glossingSentenceCount
0
matches
(empty)
100.00%
"Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches
0
per1kWords
0
wordCount
1428
matches
(empty)
100.00%
Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount
1
totalSentences
129
matches
0
"on that bag"
100.00%
Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs
55
mean
25.96
std
24.78
cv
0.954
sampleLengths
0
2
1
32
2
87
3
61
4
45
5
16
6
1
7
31
8
101
9
6
10
37
11
30
12
29
13
14
14
8
15
69
16
29
17
14
18
45
19
12
20
61
21
56
22
14
23
26
24
2
25
29
26
45
27
2
28
8
29
19
30
10
31
47
32
28
33
2
34
4
35
3
36
3
37
20
38
11
39
69
40
10
41
19
42
7
43
4
44
22
45
29
46
22
47
18
48
4
49
101
100.00%
Passive voice overuse
Target: ≤2% passive sentences
passiveCount
0
totalSentences
107
matches
(empty)
100.00%
Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount
1
totalVerbs
194
matches
0
"was standing"
100.00%
Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount
0
semicolonCount
0
flaggedSentences
0
totalSentences
129
ratio
0
matches
(empty)
100.00%
Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount
1182
adjectiveStacks
0
stackExamples
(empty)
adverbCount
28
adverbRatio
0.023688663282571912
lyAdverbCount
3
lyAdverbRatio
0.0025380710659898475
100.00%
Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences
129
echoCount
0
echoWords
(empty)
100.00%
Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences
129
mean
11.07
std
7.45
cv
0.673
sampleLengths
0
2
1
4
2
28
3
7
4
12
5
6
6
6
7
21
8
24
9
5
10
6
11
12
12
20
13
5
14
7
15
3
16
4
17
10
18
11
19
10
20
24
21
16
22
1
23
16
24
1
25
3
26
11
27
17
28
3
29
7
30
12
31
13
32
18
33
18
34
3
35
10
36
6
37
6
38
13
39
18
40
16
41
8
42
6
43
9
44
6
45
14
46
14
47
8
48
8
49
5
68.99%
Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats
16
diversityRatio
0.4883720930232558
totalSentences
129
uniqueOpeners
63
97.09%
Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount
3
totalSentences
103
matches
0
"Then the gap between two"
1
"Then he stepped through."
2
"Then she walked the corridor"
ratio
0.029
100.00%
Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount
13
totalSentences
103
matches
0
"He would take the next"
1
"She took the fence line"
2
"She tried again under the"
3
"She hurdled it, landed badly"
4
"She reached the gap and"
5
"She thumbed the worn leather"
6
"Her pulse kept its own"
7
"She slid her baton free"
8
"He paused on the threshold"
9
"His eyes caught the light"
10
"He smiled, showing small, even"
11
"He turned to her and"
12
"He looked at the mountain"
ratio
0.126
100.00%
Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount
69
totalSentences
103
matches
0
"Rain ate both words."
1
"Herrera cleared the railings at"
2
"The same face Quinn had"
3
"Tonight the bag had moved."
4
"Tonight it moved at a"
5
"The towpath ran black and"
6
"Herrera ran light on his"
7
"That worried her more than"
8
"This one chose well, corner"
9
"He would take the next"
10
"She took the fence line"
11
"She tried again under the"
12
"Herrera took the far steps"
13
"Chalk Farm Road."
14
"A drunk under a pub"
15
"A wheeled bin came spinning"
16
"She hurdled it, landed badly"
17
"She reached the gap and"
18
"Backup sat twenty minutes out"
19
"She thumbed the worn leather"
ratio
0.67
0.00%
Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount
0
totalSentences
103
matches
(empty)
ratio
0
100.00%
Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences
53
technicalSentenceCount
1
matches
0
"One witness, dosed on something that kept her smiling, describing curly hair, olive skin, and a saint swinging on a chain."
100.00%
Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags
6
uselessAdditionCount
0
matches
(empty)
100.00%
Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags
2
fancyCount
1
fancyTags
0
"The mountain leaned (lean)"
dialogueSentences
28
tagDensity
0.071
leniency
0.143
rawRatio
0.5
effectiveRatio
0.071
94.9524%