NC Bench
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Run: 2026-09-23-01M36NZ2SXQ0JQP3ZZVPV2FBF9
Run Details
Model:
GPT-6 Luna (Reasoning, Medium)
Test:
Bad Writing Habits
Scenario:
Mystery: examining a crime scene
Duration:
44.8s
Cost:
$0.001559
Provider:
OpenAI
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)
84.04%
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)
24.00%
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)
62.45%
Sentence opener variety
(details)
100.00%
Adverb-first sentence starts
(details)
100.00%
Pronoun-first sentence starts
(details)
20.61%
Subject-first sentence starts
(details)
50.51%
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)
91.3866%
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 constable’s boot came down
on the chalk line. “Stop.”
Harlow caught his sleeve and
hauled him back before the sole touched the mark. “You’ve just stepped over the only clean path in this station.” He stared at the floor.
A narrow stripe of dust
ran between his boot and the body, unbroken except for the heel marks he had left beside it. “Sorry, Detective.” “Be sorry outside.” Harlow ducked beneath the tape.
The abandoned station swallowed the
constable’s apology, then gave it back in a thin
echo
. Old tiles sweated grime beneath the arches.
The platform lamps had long
since failed, but portable work lights threw a hard white glare across the scene.
A man lay on his
back beside the platform edge.
His dark coat clung to
his chest.
His eyes stared up at
the iron ribs of the ceiling.
A coin-sized pool of water
spread beneath his right ear.
DC Nisha Bell waited beside
the body, gloved hands tucked beneath her arms. “Found him forty minutes ago,” Bell said. “Maintenance crew came through the service door. No one else in the station.” “Who checked the tunnel?” “Transit police. Both ends are blocked. No access from the tracks.” Harlow looked at Bell’s boots. Dust coated the toes. No wet marks.
She moved her gaze to
the body.
Water beaded on the man’s
coat, yet the floor around him remained dry.
The pool stopped at a
neat curve, as if someone had drawn it with a compass. “What do you make of it?” “Robbery gone wrong. His pockets are inside out, and there’s a cut at the collar. Whoever did it came in through the service door and left the same way.” “Then where are their prints?” Bell nodded towards the floor. “The crew walked all over the place before they called it in. We can’t trust the dust.” “Not all of it.”
Harlow crouched, keeping her knees
clear of the chalk line. “This section runs from the door to the body. Every mark belongs to the maintenance crew. See the double tread? One of them dragged his left foot.” Bell leaned over her shoulder. “And the clean stripe?” “No prints in it.” Harlow followed the stripe with her eyes.
It began at the dead
man’s shoes and ended at a brick wall. No door. No hatch.
Just old tile, cracked in
three places and patched with cement. Bell frowned. “So someone cleaned a path?” “Why clean one strip and leave the rest untouched?” “Showmanship.” “Then they missed the body.” Harlow stood.
Her leather watch pressed against
her wrist as she turned it. The second hand ticked on, indifferent to the station. The victim wore black leather shoes with bright, unscuffed soles. Dust filmed the uppers, but the soles looked new. Harlow crouched again and examined the cuffs of his trousers. Dry. The knees, dry too.
His coat alone carried a
sheen of water, though no drip marks stained the platform. “Have forensics taken his temperature?” “They’re on their way.” “Tell them not to touch the water.” Bell glanced at the pool. “It’s water.” “Then it won’t mind waiting.” Harlow moved towards the service door. The lock showed no scrape, the frame no fresh damage. A bone-white disc lay on the floor beside the threshold. She stopped short of it. “Is that ours?” “No. It was there when the crew found the door.” Bell crouched to inspect it, but Harlow raised a hand. “Leave it.” The disc had
been carved
from bone. A hole pierced its centre, and faint marks circled the rim. Not letters.
More like tiny hooks, etched
by a steady hand. The surface held a greasy shine, though no dust clung to it. “Could be a token,” Bell said. “Some kind of club pass.” “A club that meets in a sealed Tube station?” “Camden has stranger clubs.” Harlow looked back at the wall. One of the cracks in the tile ran straight down to the skirting. The clean stripe ended there, but the dust beneath the final tile seemed darker than the rest.
She drew a small torch
from her pocket and angled its beam across the floor. The stripe did not end at the wall. It continued beneath it. “Get me a photograph of that.” Bell called to the crime-scene photographer.
While he worked, Harlow studied
the body’s hands. The right lay open by his side. The left curled towards the chest, fist closed. A thin black line marked the base of the thumb. “His hand’s been clenched since rigor set in,” Bell said. “Could be holding a stolen item.” “Could be.” Harlow nodded to the photographer. “After you’ve documented it, open the hand.” The man’s fingers resisted, then loosened. Something brass dropped into the shallow hollow of his palm.
It struck the platform with
a small, sharp click. Bell recoiled. “That wasn’t in the first sweep.” “It was in his hand.” The object was a small brass compass. Green patina darkened its casing, and fine protective sigils cut across its face.
Its needle trembled, then swung
away from north. Harlow picked it up with gloved fingers. The needle settled, pointing at the tiled wall. Bell watched her. “A compass?” “Doesn’t point north.” “Broken, then.” Harlow turned in place. The needle followed the wall, steady as a finger accusing someone. The air around the tile carried a smell of wet stone and pennies. Harlow looked down at the pool. The water had not spread. A small bubble swelled at its centre and popped without a sound. Bell’s voice dropped. “The water’s moving.” “Not the water.” Harlow held the compass level. “The needle.” It jerked towards the body.
Then it snapped back to
the wall. “Could be a
magnetic
field,” Bell said. “Old wiring.” “There’s no power here.” “Residual charge.” “From what?” Bell had no answer. Harlow turned the compass over. Scratches scored the brass beneath the sigils, fresh enough to show their pale edges. Someone had held it hard. The man’s thumb bore the same black line that marked the instrument’s casing. “He carried it,” Harlow said. “Or someone forced it into his hand.” Bell glanced at the dead man’s coat. “If he drowned, the water could have come from the tunnel.” “His shoes are dry. His trouser cuffs are dry. There’s no trail from the tracks.” “People can be moved.” “Not without leaving marks.” Harlow walked to the wall. The compass needle shivered harder as she approached. Behind the tile came a faint sound, a scrape followed by a pause. Bell stepped back. “Was that the tunnel?” “There’s no tunnel here.” “Then what’s behind the wall?” “Brick, according to the plans.” A second scrape came from the other side. Longer this time. Something dragged across stone. Bell raised her radio. “Control, we need a structural team at Camden station, lower platform. Possible void behind the north wall.” The radio answered with a burst of static.
Then a woman spoke through
the crackle. “Quinn.” Harlow’s hand tightened around the compass. Bell lowered the radio. “Who was that?” The speaker hissed. No one answered. Harlow
knew that voice
.
She had heard it in
a wrecked stairwell three years earlier, while the case file called it interference and the coroner called it impossible. “Morris?” Bell asked. The wall gave a single knock. The bone token by the service door rolled across the floor and stopped at Harlow’s boot. The compass needle spun once, then fixed on the centre tile. A pale hand pressed through the grout from the other side.
created_at
"2026-09-23T08:26:25.989Z"
9/23/2026, 8:26:25 AM
model
"openai/gpt-6-luna-20260922"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
23973
moderation_latency
(null)
generation_time
44735
tokens_prompt
4492
tokens_completion
1971
native_tokens_prompt
4157
native_tokens_completion
3035
native_tokens_completion_images
0
native_tokens_reasoning
1394
native_tokens_cached
4154
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
"completed"
service_tier
"default"
usage
0.00155934
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer
(null)
request_id
"req-1790151985-0jiqEC9qQ7VIlwd251iL"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1790151985-nWXJHkxfbDjpZl1HVoXI"
upstream_id
"resp_02f6e6974fea0453016ab38d321a0087d198f52927549e3cb5"
provider_responses
0
endpoint_id
"05e94e02-b9c2-4bbb-ba55-4082ee9ad687"
id
"resp_02f6e6974fea0453016ab38d321a0087d198f52927549e3cb5"
is_byok
false
latency
578
model_permaslug
"openai/gpt-6-luna-20260922"
provider_name
"OpenAI"
status
200
total_cost
0.00155934
cache_discount
0.00037386
upstream_inference_cost
0
provider_name
"OpenAI"
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
10
adverbTagCount
0
adverbTags
(empty)
dialogueSentences
64
tagDensity
0.156
leniency
0.313
rawRatio
0
effectiveRatio
0
100.00%
AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount
1253
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)
84.04%
AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount
1253
totalAiIsms
4
found
0
word
"echo"
count
1
1
word
"etched"
count
1
2
word
"trembled"
count
1
3
word
"magnetic"
count
1
highlights
0
"echo"
1
"etched"
2
"trembled"
3
"magnetic"
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
112
matches
(empty)
100.00%
Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount
1
hedgeCount
0
narrationSentences
112
filterMatches
0
"watch"
hedgeMatches
(empty)
100.00%
Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences
166
gibberishSentences
0
adjustedGibberishSentences
0
longSentenceCount
0
runOnParagraphCount
0
giantParagraphCount
0
wordSaladCount
0
repetitionLoopCount
0
controlTokenCount
0
repeatedSegmentCount
0
maxSentenceWordsSeen
29
ratio
0
matches
(empty)
100.00%
Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans
0
markdownWords
0
totalWords
1253
ratio
0
matches
(empty)
100.00%
Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions
7
unquotedAttributions
0
matches
(empty)
24.00%
Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions
44
wordCount
873
uniqueNames
3
maxNameDensity
2.52
worstName
"Harlow"
maxWindowNameDensity
4
worstWindowName
"Bell"
discoveredNames
Nisha
1
Bell
21
Harlow
22
persons
0
"Nisha"
1
"Bell"
2
"Harlow"
places
(empty)
globalScore
0.24
windowScore
0.333
100.00%
Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences
69
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
1253
matches
(empty)
100.00%
Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount
1
totalSentences
166
matches
0
"knew that voice"
100.00%
Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs
88
mean
14.24
std
13.11
cv
0.921
sampleLengths
0
9
1
26
2
28
3
2
4
3
5
46
6
38
7
13
8
20
9
4
10
11
11
48
12
6
13
29
14
5
15
22
16
41
17
9
18
4
19
35
20
7
21
9
22
1
23
5
24
22
25
49
26
5
27
4
28
7
29
7
30
5
31
31
32
3
33
10
34
10
35
2
36
41
37
11
38
9
39
4
40
51
41
8
42
4
43
6
44
39
45
16
46
14
47
25
48
8
49
5
100.00%
Passive voice overuse
Target: ≤2% passive sentences
passiveCount
1
totalSentences
112
matches
0
"been carved"
100.00%
Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount
0
totalVerbs
155
matches
(empty)
100.00%
Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount
0
semicolonCount
0
flaggedSentences
0
totalSentences
166
ratio
0
matches
(empty)
100.00%
Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount
876
adjectiveStacks
0
stackExamples
(empty)
adverbCount
17
adverbRatio
0.019406392694063926
lyAdverbCount
0
lyAdverbRatio
0
100.00%
Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences
166
echoCount
0
echoWords
(empty)
100.00%
Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences
166
mean
7.55
std
4.93
cv
0.653
sampleLengths
0
9
1
15
2
11
3
5
4
23
5
2
6
3
7
5
8
15
9
7
10
19
11
10
12
7
13
11
14
10
15
13
16
7
17
13
18
4
19
11
20
5
21
4
22
3
23
7
24
13
25
16
26
6
27
29
28
5
29
5
30
17
31
14
32
27
33
5
34
4
35
4
36
7
37
13
38
2
39
2
40
11
41
2
42
5
43
9
44
1
45
5
46
2
47
11
48
9
49
10
62.45%
Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats
8
diversityRatio
0.4036144578313253
totalSentences
166
uniqueOpeners
67
100.00%
Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount
4
totalSentences
99
matches
0
"Just old tile, cracked in"
1
"More like tiny hooks, etched"
2
"Then it snapped back to"
3
"Then a woman spoke through"
ratio
0.04
100.00%
Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount
14
totalSentences
99
matches
0
"He stared at the floor."
1
"His dark coat clung to"
2
"His eyes stared up at"
3
"She moved her gaze to"
4
"It began at the dead"
5
"Her leather watch pressed against"
6
"His coat alone carried a"
7
"She stopped short of it."
8
"She drew a small torch"
9
"It continued beneath it."
10
"It struck the platform with"
11
"Its needle trembled, then swung"
12
"It jerked towards the body."
13
"She had heard it in"
ratio
0.141
20.61%
Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount
87
totalSentences
99
matches
0
"The constable’s boot came down"
1
"Harlow caught his sleeve and"
2
"He stared at the floor."
3
"A narrow stripe of dust"
4
"Harlow ducked beneath the tape."
5
"The abandoned station swallowed the"
6
"The platform lamps had long"
7
"A man lay on his"
8
"His dark coat clung to"
9
"His eyes stared up at"
10
"A coin-sized pool of water"
11
"DC Nisha Bell waited beside"
12
"Harlow looked at Bell’s boots."
13
"Dust coated the toes."
14
"She moved her gaze to"
15
"Water beaded on the man’s"
16
"The pool stopped at a"
17
"Bell nodded towards the floor."
18
"Harlow crouched, keeping her knees"
19
"Bell leaned over her shoulder."
ratio
0.879
50.51%
Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount
1
totalSentences
99
matches
0
"While he worked, Harlow studied"
ratio
0.01
100.00%
Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences
36
technicalSentenceCount
1
matches
0
"The man’s thumb bore the same black line that marked the instrument’s casing."
100.00%
Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags
10
uselessAdditionCount
0
matches
(empty)
100.00%
Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags
6
fancyCount
0
fancyTags
(empty)
dialogueSentences
64
tagDensity
0.094
leniency
0.188
rawRatio
0
effectiveRatio
0
91.3866%