NC Bench
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Run: 2026-09-02-01M1GTA0QT72FJ6RT700RBQWFE
Run Details
Model:
Z.AI GLM 5.3 Flash (Reasoning, Max)
Test:
Bad Writing Habits
Scenario:
Mystery: examining a crime scene
Duration:
9m 55s
Cost:
$0.005502
Provider:
Z.AI
Evaluation summary
Score
Evaluator
Details Link
100.00%
Adverbs in dialogue tags
(details)
95.80%
AI-ism adverb frequency
(details)
100.00%
AI-ism character names
(details)
100.00%
AI-ism location names
(details)
74.79%
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)
50.00%
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)
98.31%
Sentence opener variety
(details)
51.28%
Adverb-first sentence starts
(details)
100.00%
Pronoun-first sentence starts
(details)
83.08%
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)
91.7751%
Overall
Model input
System
You are an expert and award-winning novel writer in the dark Mystery 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="4414" name="Eva Kowalski" aliases="Eva, Evie" pronouns="she/her" species="Human" storyRole="Best Friend"> <eyeColor>green</eyeColor> <hair>curly red</hair> <height>5'4"</height> <age>26</age> <glasses>round glasses</glasses> <satchel>worn leather satchel full of books</satchel> <freckles>freckled complexion</freckles> <nervousHabit>tucking hair behind her left ear</nervousHabit> <description>Aurora's childhood friend and an occult researcher.</description> <backstory>Moved to London two years before Aurora and works as a research assistant at the British Museum's restricted archives. She holds a master's degree in Ancient History from Oxford.</backstory> </character> <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> <item id="2004" name="Veil Compass" aliases="the Compass, shadow compass" type="Tool" origin="The Veil Market"> <casingMaterial>small brass compass</casingMaterial> <faceMarkings>face etched with protective sigils</faceMarkings> <needle>points toward the nearest supernatural rift or portal</needle> <patina>casing has a patina of verdigris</patina> <creator>crafted by a Shade artisan</creator> <description>A compass attuned to supernatural energy.</description> </item> </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 mystery genre. A detective arrives at a crime scene in an unusual location. Something is wrong — the evidence doesn't add up. A colleague is present, offering a different interpretation. Through careful observation and deduction, the detective begins to see what others have missed. 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 dead man had been
dead for a month. His
watch
disagreed. Eighty feet beneath Camden, on a platform that had carried its last fare before Cole started school, the
watch
ticked on.
A silver Casio on a
strap rotted to threads, laid on a chest dried down to the shape of its ribs.
Quinn crouched at the platform
edge and listened to the second hand walk its little circle.
Her own watch, the leather
worn to
velvet
, told the same time. Twenty minutes ago she had come down the emergency stairs at the south end, and with every step the air had thickened until it sat on her tongue: dust, stone, and beneath it a sweetness like burnt sugar left to char.
An engineer surveying the old
running tunnels had smelled it through a ventilation grille on Monday, and the report had taken until Thursday to climb to her desk. "Pathologist gives him three weeks, give or take,"
Cole said behind her
.
He had rolled his hood
down for the fourth time so his voice would carry. "Skin like parchment, organs like dried figs. Achebe's words, not mine." "Then there's the corner shop."
Cole lifted an evidence bag
. A receipt turned inside it. "Costcutter on Camden Road. Their cameras have him at ten to eleven last night, paying in coins, counting his change twice." "Three weeks dead or twelve hours."
Cole let the bag drop
against his thigh. "Somebody's clock is broken." "Or two clocks are broken and they agree." Quinn straightened. "Run me your theory again." "Runner slices him up topside over money, gets the fear of God in him, dumps him down the maintenance shaft on Camden Road. Sealed station, no cameras, no traffic. Dead air down here dries a body the way a cellar dries a ham." "Textbook." "Textbook." "Then show me the textbook. Show me the blood." Cole shifted his
weight
. "That's the thing. There isn't any." "One cut under the jaw, clean, deep enough to open the spine."
She had studied the photographs
on the stairs. "A wound like that empties five litres in under a minute. Five litres, Cole. Find them." His torch swept the flags. Grey light on grey dust. Nothing.
Quinn walked the stepping plates
until she stood over the body, then aimed her torch straight up. Sixty years of soot hung on the vaulted brick in
velvet
ropes. Above the wound, printed over the soot, lay a freckle of fine dark spray. "He bled upward." "Pressure washer," Cole said. "Somebody hosed the floor and the spray caught the..." "Upward?"
He studied the ceiling a
while. "Bad theory." "Next."
The shaft waited at the
north end behind a rusted gate, the ladder climbing thirty feet of dark towards a disc of paler dark. Across the third rung a cobweb hung thick as a handkerchief, unbroken. Cole tried the gate.
The padlock's hasp had rusted
solid around the staple. "Nobody's come down that in years." "Then how did he get in?" "He didn't." "Plain English, boss." "Nobody brought him either."
She nodded at the floor
. "Sixty years of dust, and he's lying in a bare island of it. The only prints down here came in with us, on our plates." "Confirmed twice," the crime scene manager called from the south stairs. "The coat's worth a month of my rent," Cole said. "Cashmere, dry cleaner's tag still on the collar. Inside pocket had forty quid in notes and a return to York." "So not a robbery. And not a runner either. Runners sweat. This man's collar smells of cedar."
She turned a slow circle
with the torch. "And there's a rat city up that north tunnel. Big as a borough. They stripped a pigeon to the bone in an hour last Tuesday. Not one dropping within ten yards of him." "Rats have standards." Quinn knelt where the floodlight caught the platform lip. Pools of wax, ivory and pink, pressed into the dust. Chalk lines crossed the flags at neat angles, pitch marks. Tally marks in chalk climbed a stone bollard, groups of five, neat as a shopkeeper's sums. A ring of scorch stained the flags where something had burned hot, with no soot above it to show for its age. And along the edge, where a crowd would queue, feet had polished the platform lip to a shine in a long arc. The air held cloves and hot metal and, underneath, that sweetness again. Stronger here. "This is a shop floor," she said. "Stalls. Traders. A crowd, and not one of them left a print either." "In a station that's been dead since the eighties?" "You'd need a ticket."
She took the second bag
from Cole's hand, the one he hadn't offered. Inside lay a disc of bone, bored through the middle, letters nicked round the rim in no alphabet she could read at speed. "That's a button." "Buttons don't get you through a wall. He carried the door money, and it still went wrong for him." The right fist had fought the recovery team.
It fought her gently, until
the fingers cracked back like dry kindling. In the palm sat a brass compass the size of a plum, green at the engraving, its face ringed with tiny
etched
marks. Beneath the six, a maker's mark like a closed eye. "Sigils," she said. "Protective work, if the maker was honest." "The Northern line's the other way," Cole said, because the needle had swung and settled, pointing hard up the tunnel towards the brickwork sealing the old running line. "I know." She stood. Stepped left. The needle swung and held on her. Stepped right.
It followed, patient as a
dog. Cole circled her twice. The needle never
wavered
.
She laid the thing flat
on her stiffened palm, and the needle leaned across the case to stay on her. That took
weight
. Compass needles don't lean. "What's it pointing at?" "Me."
She folded it shut and
pocketed it. "That's evidence." "It's a paperweight until Achebe logs it." At the sealed mouth of the tunnel, the brickwork carried rows of scratches, neat as ledger lines. Seven rows, seven marks to a row.
Her thumb found the strap
of her
watch
and worked it round once.
She knew the rhythm of
those marks.
She had spent three years
learning to walk past doors without reading them. "Graffiti?" Cole said. "Something like." Behind her, the tick she had been hearing since the stairs stopped. The second hand stood at the top of its circle and did not move again.
Then, across the platform, in
the tray of bagged effects, a phone lit up and buzzed against the plastic. "Who calls a dead man?" Cole said. "Cold callers," Quinn said. "Even the dead aren't safe." The screen glowed through the bag. A number. Above the number, a name. Morris. "Boss." Cole's voice had gone flat. "Chain of evidence..."
She cut the seal, took
the phone out and answered. Static. Long enough to cross an ocean. "Hello, Harlow." She said nothing. "You're standing in my shop." A pause, and then, gentle as a hand on the shoulder: "Mind the edge."
created_at
"2026-09-02T10:23:19.306Z"
9/2/2026, 10:23:19 AM
model
"z-ai/glm-5.3-flash-20260826"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
5292
moderation_latency
(null)
generation_time
594225
tokens_prompt
4492
tokens_completion
21733
native_tokens_prompt
4229
native_tokens_completion
20740
native_tokens_completion_images
(null)
native_tokens_reasoning
19162
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
0.005502175
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788344599-gcilTMeUloP0mxZq9iAE"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788344599-mbqLJLk4Jon8FNGojvzE"
upstream_id
"20260902182320b384cbb56fe34f11"
provider_responses
0
endpoint_id
"8e9fe48b-2f91-41c3-a8a7-e4a93a8c4ff0"
id
"20260902182320b384cbb56fe34f11"
is_byok
false
latency
5292
model_permaslug
"z-ai/glm-5.3-flash-20260826"
provider_name
"Z.AI"
status
200
total_cost
0.005502175
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
18
adverbTagCount
0
adverbTags
(empty)
dialogueSentences
56
tagDensity
0.321
leniency
0.643
rawRatio
0
effectiveRatio
0
95.80%
AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount
1190
totalAiIsmAdverbs
1
found
0
adverb
"gently"
count
1
highlights
0
"gently"
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)
74.79%
AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount
1190
totalAiIsms
6
found
0
word
"velvet"
count
2
1
word
"weight"
count
2
2
word
"etched"
count
1
3
word
"wavered"
count
1
highlights
0
"velvet"
1
"weight"
2
"etched"
3
"wavered"
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
81
matches
(empty)
100.00%
Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount
2
hedgeCount
0
narrationSentences
81
filterMatches
0
"watch"
hedgeMatches
(empty)
100.00%
Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences
118
gibberishSentences
0
adjustedGibberishSentences
0
longSentenceCount
0
runOnParagraphCount
0
giantParagraphCount
0
wordSaladCount
0
repetitionLoopCount
0
controlTokenCount
0
repeatedSegmentCount
0
maxSentenceWordsSeen
43
ratio
0
matches
(empty)
100.00%
Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans
0
markdownWords
0
totalWords
1190
ratio
0
matches
(empty)
100.00%
Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions
12
unquotedAttributions
0
matches
(empty)
50.00%
Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions
23
wordCount
775
uniqueNames
6
maxNameDensity
1.81
worstName
"Cole"
maxWindowNameDensity
3.5
worstWindowName
"Cole"
discoveredNames
Camden
1
Cole
14
Casio
1
Monday
1
Thursday
1
Quinn
5
persons
0
"Cole"
1
"Quinn"
places
(empty)
globalScore
0.597
windowScore
0.5
100.00%
Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences
49
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
1190
matches
(empty)
100.00%
Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount
0
totalSentences
118
matches
(empty)
100.00%
Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs
60
mean
19.83
std
25.16
cv
1.269
sampleLengths
0
12
1
139
2
38
3
36
4
18
5
15
6
43
7
1
8
1
9
9
10
10
11
36
12
11
13
43
14
3
15
13
16
1
17
8
18
1
19
49
20
6
21
6
22
2
23
3
24
34
25
11
26
30
27
58
28
3
29
103
30
20
31
9
32
40
33
3
34
19
35
53
36
10
37
28
38
2
39
54
40
4
41
1
42
7
43
2
44
7
45
57
46
3
47
2
48
12
49
34
100.00%
Passive voice overuse
Target: ≤2% passive sentences
passiveCount
0
totalSentences
81
matches
(empty)
100.00%
Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount
0
totalVerbs
131
matches
(empty)
100.00%
Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount
0
semicolonCount
0
flaggedSentences
0
totalSentences
118
ratio
0
matches
(empty)
100.00%
Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount
775
adjectiveStacks
0
stackExamples
(empty)
adverbCount
12
adverbRatio
0.015483870967741935
lyAdverbCount
2
lyAdverbRatio
0.0025806451612903226
100.00%
Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences
118
echoCount
0
echoWords
(empty)
100.00%
Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences
118
mean
10.08
std
8.4
cv
0.833
sampleLengths
0
9
1
3
2
21
3
21
4
16
5
12
6
41
7
28
8
12
9
15
10
11
11
10
12
5
13
21
14
14
15
4
16
10
17
5
18
43
19
1
20
1
21
9
22
4
23
6
24
20
25
16
26
5
27
5
28
1
29
17
30
12
31
14
32
3
33
4
34
9
35
1
36
6
37
2
38
1
39
24
40
12
41
4
42
9
43
6
44
6
45
2
46
3
47
9
48
25
49
11
98.31%
Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats
2
diversityRatio
0.6101694915254238
totalSentences
118
uniqueOpeners
72
51.28%
Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount
1
totalSentences
65
matches
0
"Then, across the platform, in"
ratio
0.015
100.00%
Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount
18
totalSentences
65
matches
0
"His watch disagreed."
1
"Her own watch, the leather"
2
"He had rolled his hood"
3
"She had studied the photographs"
4
"His torch swept the flags."
5
"He studied the ceiling a"
6
"She nodded at the floor"
7
"She turned a slow circle"
8
"She took the second bag"
9
"It fought her gently, until"
10
"It followed, patient as a"
11
"She laid the thing flat"
12
"She folded it shut and"
13
"Her thumb found the strap"
14
"She knew the rhythm of"
15
"She had spent three years"
16
"She cut the seal, took"
17
"She said nothing."
ratio
0.277
83.08%
Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount
49
totalSentences
65
matches
0
"The dead man had been"
1
"His watch disagreed."
2
"A silver Casio on a"
3
"Quinn crouched at the platform"
4
"Her own watch, the leather"
5
"An engineer surveying the old"
6
"Cole said behind her"
7
"He had rolled his hood"
8
"Cole lifted an evidence bag"
9
"A receipt turned inside it."
10
"Cole let the bag drop"
11
"Cole shifted his weight."
12
"She had studied the photographs"
13
"His torch swept the flags."
14
"Quinn walked the stepping plates"
15
"He studied the ceiling a"
16
"The shaft waited at the"
17
"Cole tried the gate."
18
"The padlock's hasp had rusted"
19
"She nodded at the floor"
ratio
0.754
0.00%
Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount
0
totalSentences
65
matches
(empty)
ratio
0
100.00%
Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences
30
technicalSentenceCount
0
matches
(empty)
100.00%
Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags
18
uselessAdditionCount
0
matches
(empty)
100.00%
Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags
10
fancyCount
0
fancyTags
(empty)
dialogueSentences
56
tagDensity
0.179
leniency
0.357
rawRatio
0
effectiveRatio
0
91.7751%