Run: 2026-10-20-01M5C6D5G5KAM1Y4JQDQVC2Z6Q

Run Details

Duration:
28.6s
Cost:
$0.001673
Provider:
InferenceNet

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

AI
“Don’t touch the chalk.” The constable’s fingers stopped a hand’s width above the platform. He looked up at Quinn with the expression of a man who had been caught doing something far worse. “Sorry, ma’am. Just, it looks like a joke, doesn’t it? Like something off the telly.” Quinn lowered herself over the platform edge and dropped the last four feet onto the track bed. Grit shifted under her boots. The air down here tasted of wet iron and something sweeter underneath, a burnt-sugar reek that caught the back of her throat. “Nothing down here is a joke,” she said. “Not for the next six hours.” Camden’s abandoned southbound platform stretched away into the dark, its white tiles gone the colour of weak tea, its enamel sign half torn from the wall. Someone had scrubbed the station name away with acid years ago. Only the C and the N survived, and a bracket of missing letters between them. Farther up the tunnel, the brickwork had burst outward in a spidery bloom, roots or rust, she couldn’t tell which, and water ticked into a puddle somewhere out of sight. The dead man lay face down in the middle of the platform, arms out, coat spread like dark wings on the tile. “Dr Kowalski’s gone round the back,” the constable said, scrambling down after her. His name was Patel, and his boots were new, and he had the eager, nervous energy of somebody three months out of Hendon. “She says the circle’s not a circle. She says it’s a seal.” “Does she.” “Says it’s got eleven points. I counted. She’s right, it’s got eleven points.” Quinn crouched beside the chalk. It ran in a wide sweep around the body, and every tenth inch a small hooked mark turned the line inward. The chalk was old, the fat sort that schoolchildren used on pavements, and somebody had pressed hard enough to leave white dust in the grouting. She put the back of her hand near it and held it there. “Cold,” she said. “Chalk’s cold and the floor’s cold. No help.” “Forensics are forty minutes out,” Patel said. “The lift’s knackered, so they’re coming down the emergency stair from the old station house. I’ve got a man posted at the top.” “Who found him?” “Track walker. Contract job, four lads clearing rubbish off the running lines before the surveyors come through. One of them saw the coat and rang it in. He’s upstairs being sick into a bin.” Quinn rose and walked the length of the body. The man was somewhere north of fifty, silver hair cut close, a good camel coat, a grey suit beneath it, and shoes that gleamed even in the flat light of Patel’s torch. She crouched at his feet. The leather was unmarked. Not a scuff, not a scratch, not a smear of the black filth that coated everything else down here. “Those are brand new,” Patel said, pleased with himself. “Those are six hundred pound shoes,” Quinn said. “And they’ve never touched this platform. Neither have his trousers. Look at the hem. Dust line at the knee from kneeling, nothing below it.” She turned the body’s left hand over. The palm was clean. The nails were clean. A gold band bit into the ring finger, and the skin beneath it was pale and dry. “No dirt under the nails,” she said. “No chalk on the fingers. Not a fleck, and he’s lying in a chalk circle.” Patel frowned. “So he didn’t draw it.” “He didn’t draw it. Or he drew it and then washed his hands in a bucket that isn’t here.” “Maybe he was killed elsewhere,” Patel said. “Brought down on the maintenance trolley. There’s a trolley at the far end, we found it.” “Sniff the air.” “Ma’am?” “Sniff the air, Patel.” He did, and his face changed. The sweet smell was stronger here, syrupy, with a chemical edge, like burnt sugar and nail varnish remover. It came off the coat, off the hair, off the skin. “That’s embalming fluid,” Quinn said. “That’s a mortician’s prep room, or somebody with a very good chemist. He’s been dead a while. He’s been cold a while. And then somebody carried him down four flights of stairs and laid him in the middle of a chalk drawing.” “Why would anyone draw the circle first?” “Now you’re asking the right question.” She stood. “Patel, you’re going to go and find out how a man in a camel coat gets through a locked station house without tripping an alarm.” “There’s no alarm.” “I know there’s no alarm. That’s the point.” Light swung across the tunnel mouth, and Eva Kowalski came through the narrow gap in the brickwork with her satchel bouncing against her hip and her torch held like a small determined candle. Her glasses were fogged. She pushed them up with a knuckle and tucked a curl of red hair behind her left ear, and it fell straight back down again. “There’s a second chamber,” she said, out of breath. “Forty feet beyond the old signal box. Bricked up, but the mortar’s been broken and replaced. Recent. Very recent. You can smell the lime.” “Bodies?” “No. Shelves. Empty shelves, run along all four walls, floor to ceiling. And a table with a candle on it, burnt down to the stub, and forty or fifty little rings of grease on the wood where other candles stood. It was a stall, Harlow. It was a stall, and it was packed up in a hurry.” “A stall in a Tube station.” “A stall in a market.” Eva knelt beside the dead man and looked at the chalk without touching it. Her voice went quiet and precise, the voice she used when she was being careful with someone’s beliefs. “Eleven points. The Veil Market runs on a lunar calendar, so eleven is a closing count, not an opening one. It’s what you draw when the market’s finished and you want it to forget where it’s been.” “You’re telling me there was a market down here.” “There was a market down here, and it moved out, and it left this man behind.” “Or someone left him behind to make it look that way,” Quinn said. “Patel, has anyone been through his pockets?” “Not yet, ma’am. I didn’t want to, before the photos.” “Take them now.” Patel pulled on gloves with a snap and knelt. The coat’s inside pocket yielded a folded receipt, a single key with no fob, and a slim cloth bag that rattled when he set it down. Quinn opened the bag with two fingers. Bone tokens spilled into the light, small discs, drilled through the centre, polished smooth by handling. She counted them into her palm. Twenty-three. She poured them back and counted again. “Twenty-three,” she said. “Odd number.” “The toll’s twenty,” Eva said. “Entry is twenty. Nobody carries three extra out of sentiment.” “Sentiment.” Quinn looked at the dead man’s face, at the fine stitching on his lapel, at the pale ring of skin beneath his wedding band. “Somebody cut his coat lining open. Look. Here, along the seam, three inches of thread gone, and a sliver missing. He was carrying something flat.” “The Compass,” Eva said. Patel’s torch beam swung to the body’s right hand, which was closed. Quinn prized the fingers open, one at a time, and the brass casing sat in the dead man’s palm, its face etched with marks she couldn’t read and its needle locked hard against its pin, pointing straight up the tunnel. The needle did not tremble. It did not swing. It had been left level because the hand was level, and it had stayed there ever since, because the man holding it had been a great deal cooler than any compass needed to work. “Verdigris,” she said, turning the casing. “Old brass. Old work. Somebody wanted this badly enough to kill him and badly enough to leave it. You don’t leave the prize with the body unless the prize is the message.” “Or unless the prize is a trap,” Eva said. Quinn looked at her. “The tokens,” Eva said, and now her voice had lost its careful academic calm. She pulled the cloth bag toward her and touched the bone discs with a bare fingertip. “Harlow. These are warm.” Quinn put the back of her own hand against them. They were warm. Not blood warm. Warmer. The heat ran up through the little hollows like breath on a window. “They weren’t warm three minutes ago,” she said. “No.” Patel’s voice cracked. “Ma’am, the compass.” The needle had moved. It swung slowly off its pin, hunted, shivered, and then came round with a snap to point back down the platform, past the body, past Quinn’s boots, and held there, quivering, at her knee. The three of them stood very still. Down the tunnel, beyond the signal box and the broken brickwork, something answered the compass with a low, patient click. Claw on tile. Then another. Then many, unspooling out of the dark, and the wet-iron smell of the place turned over into something older, and the chalk circle at Quinn’s feet flared white, all eleven points at once, like a ring of small teeth closing.
created_at"2026-10-20T08:21:20.524Z" 10/20/2026, 8:21:20 AM
model"deepseek/deepseek-v4.1-flash-20261017"
app_id182717
external_user(null)
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cancelledfalse
latency135
moderation_latency(null)
generation_time28583
tokens_prompt4492
tokens_completion3638
native_tokens_prompt4250
native_tokens_completion3275
native_tokens_completion_images(null)
native_tokens_reasoning1171
native_tokens_cached4224
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
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finish_reason"stop"
native_finish_reason"stop"
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provider_responses
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model_permaslug"deepseek/deepseek-v4.1-flash-20261017"
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Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags21
adverbTagCount0
adverbTags(empty)
dialogueSentences61
tagDensity0.344
leniency0.689
rawRatio0
effectiveRatio0
87.02% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1541
totalAiIsmAdverbs4
found
0
adverb"very"
count3
1
adverb"slowly"
count1
highlights
0"very"
1"slowly"
80.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found
0"Patel"
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
93.51% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1541
totalAiIsms2
found
0
word"determined"
count1
1
word"etched"
count1
highlights
0"determined"
1"etched"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches0
maxInWindow0
found(empty)
highlights(empty)
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences80
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences80
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences120
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen57
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1541
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions26
unquotedAttributions0
matches(empty)
73.25% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions33
wordCount912
uniqueNames7
maxNameDensity1.54
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Patel"
discoveredNames
Quinn14
Camden1
Patel9
Hendon1
Light1
Eva6
Kowalski1
persons
0"Quinn"
1"Camden"
2"Patel"
3"Eva"
4"Kowalski"
places(empty)
globalScore0.732
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences44
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1541
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences120
matches
0"sort that schoolchildren"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs67
mean23
std19.73
cv0.858
sampleLengths
04
129
215
344
414
582
622
748
82
913
1051
1113
1211
1330
143
1534
1641
1728
189
1932
2032
2122
227
2319
2423
253
261
274
2835
2947
307
3133
323
338
3462
3533
361
3757
386
3974
409
4116
4220
4310
443
4535
4629
471
487
495
92.11% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences80
matches
0"been caught"
1"were fogged"
2"been left"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs152
matches
0"was being"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences120
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount915
adjectiveStacks0
stackExamples(empty)
adverbCount22
adverbRatio0.024043715846994537
lyAdverbCount2
lyAdverbRatio0.002185792349726776
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences120
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences120
mean12.84
std10.84
cv0.844
sampleLengths
04
110
219
315
417
55
622
78
86
926
1011
1115
1230
1322
1413
1523
1612
172
1813
195
2021
2125
2213
233
248
257
2623
273
2834
299
3032
315
324
3319
349
358
3624
377
384
394
4017
417
4215
432
445
4519
467
4716
483
491
77.50% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.5
totalSentences120
uniqueOpeners60
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences62
matches
0"Only the C and the"
1"Then many, unspooling out of"
ratio0.032
90.97% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount20
totalSentences62
matches
0"He looked up at Quinn"
1"His name was Patel, and"
2"It ran in a wide"
3"She put the back of"
4"She crouched at his feet."
5"She turned the body’s left"
6"He did, and his face"
7"It came off the coat,"
8"Her glasses were fogged."
9"She pushed them up with"
10"she said, out of breath"
11"Her voice went quiet and"
12"She counted them into her"
13"She poured them back and"
14"It did not swing."
15"It had been left level"
16"she said, turning the casing"
17"She pulled the cloth bag"
18"They were warm."
19"It swung slowly off its"
ratio0.323
16.45% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount55
totalSentences62
matches
0"The constable’s fingers stopped a"
1"He looked up at Quinn"
2"Quinn lowered herself over the"
3"Grit shifted under her boots."
4"The air down here tasted"
5"Camden’s abandoned southbound platform stretched"
6"Someone had scrubbed the station"
7"The dead man lay face"
8"the constable said, scrambling down"
9"His name was Patel, and"
10"Quinn crouched beside the chalk."
11"It ran in a wide"
12"The chalk was old, the"
13"She put the back of"
14"Quinn rose and walked the"
15"The man was somewhere north"
16"She crouched at his feet."
17"The leather was unmarked."
18"Patel said, pleased with himself"
19"She turned the body’s left"
ratio0.887
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences62
matches(empty)
ratio0
53.57% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences32
technicalSentenceCount4
matches
0"He looked up at Quinn with the expression of a man who had been caught doing something far worse."
1"The air down here tasted of wet iron and something sweeter underneath, a burnt-sugar reek that caught the back of her throat."
2"The man was somewhere north of fifty, silver hair cut close, a good camel coat, a grey suit beneath it, and shoes that gleamed even in the flat light of Patel’s…"
3"Quinn prized the fingers open, one at a time, and the brass casing sat in the dead man’s palm, its face etched with marks she couldn’t read and its needle locke…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags21
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags18
fancyCount0
fancyTags(empty)
dialogueSentences61
tagDensity0.295
leniency0.59
rawRatio0
effectiveRatio0
88.8125%