Run: 2026-09-10-01M25DD04E27X1TX9JVS9KKM5H

Run Details

Duration:
27.9s
Cost:
$0.003235
Provider:
DeepSeek

Model input

System
You are an expert and award-winning novel writer in the dark Thriller genre. Your readers are hooked on your stories and can't wait to read the book you have in store. <important> - MUST: Start each chapter in medias res (in the middle of action). AVOID talking about the weather, time of day, the position of the sun, or other boring stuff. - The instructions/summary are just a that, a summary. Feel free to add details, stretch sections and add interesting transitions/descriptions/fillers. - When called for it, have fast-paced action, but otherwise take things slow. This is an experience, and not for people with short attention spans. Enjoy the wine, not slurp Red Bull. - Add descriptions when transitioning places/times/etc, or when coming by new places (e.g. a corner shop, a cafe, etc.). But remember: NOT at the start or end of a chapter. - MUST: AVOID ending in internal monologue, reminiscing or waiting for the next day. A good chapter end is when we're ending right when shit hits the fan. We want to have the reader be excited for what comes next. So no reminiscing, contemplating or summarizing the day. It's popcorn time! </important>
User/Human
Take into account the following glossary of characters/locations/items/lore... when writing your response: <codex> <character id="4416" name="Detective Harlow Quinn" aliases="Quinn, Detective Quinn, Harlow" pronouns="she/her" species="Human" storyRole="Antagonist"> <eyeColor>brown</eyeColor> <hair>closely cropped salt-and-pepper</hair> <height>5'9"</height> <age>41</age> <jawline>sharp jaw</jawline> <watch>worn leather watch on her left wrist</watch> <bearing>military precision</bearing> <description>A Metropolitan Police detective with 18 years of decorated service who suspects the clique is involved in criminal activity.</description> <backstory>She lost her partner, DS Morris, during a case three years ago under unexplained circumstances that had supernatural origins she doesn't yet understand.</backstory> </character> <character id="4417" name="Tomás Herrera" aliases="Tommy, Tomás, Herrera" pronouns="he/him" species="Human" storyRole="Support"> <eyeColor>warm brown</eyeColor> <hair>short curly dark brown</hair> <height>5'10"</height> <age>29</age> <skinTone>olive skin</skinTone> <scar>scar running along his left forearm from a knife attack</scar> <medallion>Saint Christopher medallion around his neck</medallion> <birthplace>Seville, Spain</birthplace> <description>A former paramedic who provides off-the-books medical care for the clique.</description> <backstory>Born in Seville, Spain. He moved to London to work for the NHS but lost his license after administering unauthorized treatments to supernatural patients.</backstory> </character> <location id="854" name="The Raven's Nest" aliases="the Nest, Raven, Silas' bar" realm="Earth"> <signColor>distinctive green neon sign above the entrance</signColor> <secretRoom>hidden back room accessible through a bookshelf, used for clandestine meetings</secretRoom> <description>A dimly lit bar in Soho, London. The walls are covered with old maps and black-and-white photographs.</description> </location> <location id="856" name="The Veil Market" aliases="Veil Market, the Market, underground market" realm="Earth"> <currentLocation>abandoned Tube station beneath Camden</currentLocation> <entryRequirement>bone token</entryRequirement> <schedule>moves locations every full moon</schedule> <description>A hidden supernatural black market that sells enchanted goods, banned alchemical substances, and information.</description> </location> </codex> <proseGuidelines> <styleGuide> - Write in past tense and use British English spelling and grammar - Keep a Flesch reading ease score of 60 - Respect the the Royal Order of Adjectives: The order is: opinion, size, age, shape, color, origin, material, purpose, followed by the noun itself (e.g., "a lovely little old rectangular green French silver whittling knife") - Respect the ablaut reduplication rule (e.g. tick-tock, flip-flop) - Write in active voice - Passive voice: <bad>The book was read by Sarah.</bad> - Active voice: <good>Sarah read the book.</good> - Reduce the use of passive verbs - <bad>For a moment, I was tempted to throw in the towel.</bad> - <good>For a moment, I felt tempted to throw in the towel.</good> - Avoid misplaced modifiers that can cause confusion when starting with "-ing" words: - <bad>Considering going to the store, the empty fridge reflected in Betty's eyes.</bad> - <good>Betty stared into the empty fridge. It was time to go to the store.</good> - Avoid redundant adverbs that state the obvious meaning already contained in the verb: - <bad>She whispered quietly to her mom.</bad> - <good>She whispered to her mom.</good> - Use stronger, more descriptive verbs over weak ones: - <bad>Daniel drove quickly to his mother's house.</bad> - <good>Daniel raced to his mother's house.</good> - Omit adverbs that don't add solid meaning like "extremely", "definitely", "truly", "very", "really": - <bad>The movie was extremely boring.</bad> - <good>The movie was dull.</good> - Use adverbs to replace clunky phrasing when they increase clarity: - <bad>He threw the bags into the corner in a rough manner.</bad> - <good>He threw the bags into the corner roughly.</good> - Avoid making simple thoughts needlessly complex: - <bad>After I woke up in the morning the other day, I went downstairs, turned on the stove, and made myself a very good omelet.</bad> - <good>I cooked a delicious omelet for breakfast yesterday morning.</good> - Never backload sentences by putting the main idea at the end: - <bad>I decided not to wear too many layers because it's really hot outside.</bad> - <good>It's sweltering outside today, so I dressed light.</good> - Omit nonessential details that don't contribute to the core meaning: - <bad>It doesn't matter what kind of coffee I buy, where it's from, or if it's organic or not—I need to have cream because I really don't like how the bitterness makes me feel.</bad> - <good>I add cream to my coffee because the bitter taste makes me feel unwell.</good> - Always follow the "show, don't tell" principle. For instance: - Telling: <bad>Michael was terribly afraid of the dark.</bad> - Showing: <good>Michael tensed as his mother switched off the light and left the room.</good>- Telling: <bad>I walked through the forest. It was already Fall, and I was getting cold.</bad> - Showing: <good>Dry orange leaves crunched under my feet. I pulled my coat's collar up and rubbed my hands together.</good>- Add sensory details (sight, smell, taste, sound, touch) to support the "showing" (but keep an active voice) - <bad>The room was filled with the scent of copper.</bad> - <good>Copper stung my nostrils. Blood. Recent.</good> - Use descriptive language more sporadically. While vivid descriptions are engaging, human writers often use them in bursts rather than consistently throughout a piece. When adding them, make them count! Like when we transition from one location to the next, or someone is reminiscing their past, or explaining a concept/their dream... - Avoid adverbs and clichés and overused/commonly used phrases. Aim for fresh and original descriptions. - Avoid writing all sentences in the typical subject, verb, object structure. Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. Like so: <good>Locked. Seems like someone doesn't want his secrets exposed. I can work with that.</good> - Convey events and story through dialogue. It is important to keep a unique voice for every character and make it consistent. - Write dialogue that reveals characters' personalities, motivations, emotions, and attitudes in an interesting and compelling manner - Leave dialogue unattributed. If needed, only use "he/she said" dialogue tags and convey people's actions or face expressions through their speech. Dialogue always is standalone, never part of a paragraph. Like so: - <bad>"I don't know," Helena said nonchalantly, shrugging her shoulders</bad> - <good>"No idea" "Why not? It was your responsibility"</good> - Avoid boring and mushy dialog and descriptions, have dialogue always continue the action, never stall or include unnecessary fluff. Vary the descriptions to not repeat yourself. Avoid conversations that are just "Let's go" "yes, let's" or "Are you ready?" "Yes I'm ready". Those are not interesting. Think hard about every situtation and word of text before writing dialogue. If it doesn't serve a purpose and it's just people talking about their day, leave it. No one wants to have a normal dinner scene, something needs to happen for it to be in the story. Words are expensive to print, so make sure they count! - Put dialogue on its own paragraph to separate scene and action. - Use body language to reveal hidden feelings and implied accusations- Imply feelings and thoughts, never state them directly - NEVER use indicators of uncertainty like "trying" or "maybe" - NEVER use em-dashes, use commas for asides instead </styleGuide> <voiceGuide> Each character in the story needs to have distinct speech patterns: - Word choice preferences - Sentence length tendencies - Cultural/educational influences - Verbal tics and catchphrases Learn how each person talks and continue in their style, and use their Codex entries as reference. <examples> - <bad>"We need to go now." "Yes, we should leave." "I agree."</bad> <good>"Time's up." "Indeed, our departure is rather overdue." "Whatever, let's bounce."</good> - Power Dynamic Example: <bad> "We need to discuss the contract." "Yes, let's talk about it." "I have concerns." </bad> <good> "A word about the contract." "Of course, Mr. Blackwood. Whatever you need." "The terms seem..." A manicured nail tapped the desk. "Inadequate." "I can explain every-" "Can you?" </good> </examples> </voiceGuide> <dialogueFlow> When writing dialogue, consider that it usually has a goal in mind, which gives it a certain flow. Make dialogue sections also quite snappy in the back and forth, and don't spread the lines out as much. It's good to have details before, after, or as a chunk in-between, but we don't want to have a trail of "dialogue breadcrumbs" spread throughout a conversation. <examples> - Pattern 1 - Question/Deflection/Revelation: <good> "Where were you last night?" "Work. The usual." "Lipstick's an interesting shade for spreadsheets." </good> - Pattern 2 - Statement/Contradiction/Escalation: <good> "Your brother's clean." "Tommy doesn't touch drugs." "I'm holding his tox screen." </good> - Pattern 3 - Observation/Denial/Truth: <good> "That's a new watch." "Birthday gift." "We both know what birthdays mean in this business." </good> - Example - A Simple Coffee Order: <bad> "I'll have a coffee." "What size?" "Large, please." </bad> <good> "Black coffee.""Size?""Large. Been a long night." "That bodega shooting?" "You watch too much news." "My brother owns that store." </good> This short exchange: - Advances plot (reveals connection to crime) - Shows character (cop working late) - Creates tension (unexpected connection) - Sets up future conflict (personal stake) - Example - Dinner Scene: <bad> "Pass the salt." "Here you go." "Thanks." </bad> <good> "Salt?" "Perfect as is. Mother's recipe." "Mother always did prefer... bland things." "Unlike your first wife?" </good> - Example - Office Small Talk: <bad> "Nice weather today." "Yes, very nice." "Good for golf." </bad> <good> "Perfect golf weather." "Shame about your membership." "Temporary suspension. Board meets next week." "I know. I called the vote." </good> </examples> </dialogueFlow> <subtextGuide> - Layer dialogue with hidden meaning: <bad>"I hate you!" she yelled angrily.</bad> <good>"I made your favorite dinner." The burnt pot sat accusingly on the stove.</good> - Create tension through indirect communication: <bad>"Are you cheating on me?"</bad> <good>"Late meeting again?" The lipstick stain on his collar caught the light.</good> <examples> - Example 1 - Unspoken Betrayal: <bad> "Did you tell them about our plans?" "No, I would never betray you." "I don't believe you." </bad> <good> "Funny. Johnson mentioned our expansion plans today." "The market's full of rumors." "Mentioned the exact numbers, actually." The pen in his hand snapped. </good> - Example 2 - Failed Marriage: <bad> "You're never home anymore." "I have to work late." "I miss you." </bad> <good> "Your dinner's in the microwave. Again." "Meetings ran long." "They always do." She folded the same shirt for the third time. </good> - Example 3 - Power Struggle: <bad> "You can't fire me." "I'm the boss." "I'll fight this." </bad> <good> "That's my father's nameplate you're sitting behind." "Was." "The board meeting's on Thursday." </good> </examples> </subtextGuide> <sceneDetail> While writing dialogue makes things more fun, sometimes we need to add detail to not have it be a full on theatre piece. <examples> - Example A (Power Dynamic Scene) <good> "Where's my money?" The ledger snapped shut. "I need more time." "Interesting." He pulled out a familiar gold pocket watch. My mother's. "Time is exactly what you bargained with last month." "That was different-" "Was it?" The watch dangled between us. "Four generations of O'Reillys have wound this every night. Your mother. Your grandmother. Your great-grandmother.Shall we see who winds it next?" </good> - Example B (Action Chase) It's much better to be in the head of the character experiencing it, showing a bit of their though-process, mannerisms and personality: <good> Three rules for surviving a goblin chase in Covent Garden: Don't run straight. Don't look back. Don't let them herd you underground. I broke the first rule at Drury Lane. Rookie mistake. The fruit cart I dodged sailed into the wall behind me. Glass shattered. Someone screamed about insurance. *Tourist season's getting rough*, the scream seemed to say. Londoners adapt fast. "Oi! Market's closed!" The goblin's accent was pure East End. They're evolving. Learning. I spotted the Warren Street tube station sign ahead. *Shit.* There went rule three. </good> - Example C (Crime Scene Investigation) <good> "Greek." Davies snapped photos of the symbols. "No, wait. Reverse Greek." "Someone's been watching too many horror films." I picked up a receipt from the floor. Occult supply shop in Camden. Paid by credit card. *Amateur hour*. "Could be dangerous though," Davies said. "Remember Bristol?" "Bristol was Sanskrit. And actual cultists." I pointed to the nearest symbol. "This genius wrote 'darkness' backwards but used a Sigma instead of an S. It's summoning Instagram followers at best." "Speaking of followers..." Davies pointed to heavy foot traffic in the dust. Multiple sets. All new trainers. *Ah.* "Anyone check local uni paranormal societies?" </good> - Example D (Dialogue-heavy) <good> "Found your card in her wallet." The detective slid it across the table. Worn edges. Folded corner. Three years old at least. "Standard practice. I work missing persons." "Funny thing about missing persons.Eventually they stop being missing. Turn up in the Thames. Under motorways. In pieces." "I don't-" "You found four last year. All breathing." She opened a file. "This would've been your first dead one. If we hadn't found her first." The card felt heavier somehow. </good> </examples> </sceneDetail> <sceneOpenings> KEY RULE: Never open with more than one paragraph of description, no matter how beautiful. Description should be earned through action and dialogue. Instead of opening with setting description, open with: - A character doing something specific - A line of dialogue that raises questions - An unexpected observation - A moment of tension or conflict - Start with a hook that's 1-2 sentences maximum - Follow with a smaller paragraph that provides immediate context - Vary paragraph size from the start to create visual interest </sceneOpenings> </proseGuidelines> Write a chapter based on the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the thriller genre. A detective is pursuing a suspect through rain-soaked city streets at night. The chase takes them from the street level down into an underground market. The detective must decide whether to follow the suspect into unfamiliar and potentially dangerous territory. Use the codex entries above as your world reference for characters and setting. Only include the prose of the scene without any markdown or commentary. </instructions>

Model response

AI
The bone token hit the pavement and spun. Quinn dropped, palm slapping wet flagstone, fingers closing around it before it could tumble into a drain. Bone. She knew the weight of it before she looked. Cold. Dense. Wrong. He was already running. She pushed to her feet and went after him. Soho at midnight, rain coming down in ropes, and Tomás Herrera forty metres ahead, weaving between umbrellas and cabs. He hadn't looked back once. Eighteen years on the job taught her that meant confidence or a plan. She'd bet on plan. “Police! Stop!” He didn’t. Quinn cut across the middle of the road, dodging a black cab whose driver cursed her into the wet dark. She closed the gap on Old Compton Street, thirty metres now, twenty-five. Her boots hammered the tarmac. Water flicked off her shoulders into the headlights of parked cars. Herrera glanced back. First time. He didn't look scared. That was the thing she would chew on later, when the adrenaline dropped. Apologetic. A man late for something he'd rather not attend. Then he turned down an alley. She went in after him. The alley was a dead end. Bins on both sides, a rusted fire escape climbing the brick, no throughline. Quinn pulled her torch and her baton in the same motion, thumb flicking the beam on. Tile, drain, puddle. No body. A scrape above her. She looked up. Herrera swung onto the first rung of the fire escape and climbed. Not fast. Not frantic. Like a man going to bed. “Tomás.” He stopped. Halfway up the flight, one hand on the rail. Rain ran off his jaw. “You don't have to do this,” she said. “I've got a warrant on the Raven's Nest. Silas is looking at twenty. Come down. Coffee on me. Tell me what you're carrying and we'll call it a bad night.” “You don't want the coffee I drink.” “Try me.” He looked down at her. Warm brown eyes, tired, no hostility in them. Which made it worse. “The token,” he said. “You picked it up.” “I did.” “Then you know you shouldn't be here.” He climbed. Quinn holstered the baton, slung the torch onto her belt and went after him, hand over hand on wet metal, boots slipping on the rungs. She was heavier than him. Slower. By the time she reached the second landing, he was already a shape dropping over the far edge of the roof. Thirteen metres. Straight down. She braced for a body. A scream. A crack. Nothing. Just a brick wall and a wet pavement. Quinn stood on the landing with the rain on her neck and did the arithmetic twice. Nobody walked away from that drop. Nobody landed without sound. She played the last second back in her mind, the shape of him going over, the geometry of the fall, and found nothing to hang a theory on. Then, in the corner of her eye, a green glow. Two roofs over, a hatch stood open. The light pulsed from under it. Slow. Regular. Like breathing. She crossed the gap, dropped through the hatch. The ladder was rusted and long. She climbed down into a maintenance shaft, her torch beam sweeping concrete that smelled of dust and old iron. No pipes. No cables. No reason for a corridor to exist under Camden, far from any of the lines she knew. She kept walking because there was nothing else to do. At the end of the corridor, a turnstile. Brassed, polished, wrong. No card reader. No slot. Just a small bowl welded to the top rail, held by a sculpted iron hand, palm up. Behind the turnstile: green light. Voices. And a smell that didn’t belong underground. Copper and cardamom, old paper, candle wax. Quinn pulled the bone token from her pocket. Turned it in her fingers. The thing hummed. Not a sound exactly. A vibration in her back teeth, behind her jaw. She had felt something like that once before. Four years ago. The night Morris died. She should walk out. She should call it in. Armed Response, a warrant extension, daylight, backup. That was the book. That was how the job worked. She had eighteen years of commendations because she followed the book. And she knew, with the certainty of long practice, that by the time a team got down here, whatever was on the other side of this turnstile would be gone. The people behind it would fold up their stall and be somewhere else, and Quinn would be standing in a clean concrete shaft with a torch in her hand and one more name on a wall. Morris's name was already on the wall. She set the token into the iron palm. The turnstile clicked. She pushed through. The air changed. Not wet stone anymore. Dry. A library left open for centuries. Wax. Powdered bone. Cardamom so thick it sat on the tongue. The shaft opened into a vaulted chamber. Quinn had walked every Tube station in London during her probation, and she had never seen this one. The tiles were the wrong shape, a mosaic that shifted when she looked at it, and the signs overhead were lettered in a font the city had never approved, reading Covent Garden and beneath, smaller, Eleven stops. Do not exceed. Rails curved through the middle of the room. Glass cases lined both platforms. Inside the cases, shapes moved. She kept her eyes on the floor. Stalls ran down the centre of the chamber. Wooden carts and oil lamps. Vendors whose eyes didn't glow, whose eyes didn't do anything unusual, and whose eyes, somehow, she could not look at for more than a second. A woman in a red sari sold glass vials of something that steamed in the cold. A man with fingers folded from paper, unlit and crisp, sold small mirrors. A child with grey eyes, far too young to be up past eleven, sold teeth. Real ones. From a small porcelain bowl. Quinn looked away and kept walking. Hand on her baton. Badge in her jacket. Nothing to arrest. Nothing to point at and call it a crime. Not yet. Herrera. She caught him near the end of the aisle, stopped, talking to a figure taller than him, hooded, back turned. Quinn slowed. Sidestepped into shadow. “And the buyer?” Herrera was saying. Spanish accent, deliberate, each syllable weighed. “Unhappy.” A woman's voice, low and clipped. “She asked for four. You brought two.” “The other two weren't ready.” “You have three days.” “That's not enough.” “Make it enough, Tomás. Or I'll make it your problem.” Herrera said nothing. A stall sign creaked above them. Somewhere far off, a bell rang nine times even though Quinn was sure it had rung midnight an hour ago. Then the figure turned. Not all the way. Enough. The eyes caught the green light and held it. They found her. The whole aisle went quiet. The woman in the sari stopped weighing. The paper-fingered man closed his hand over the mirror he was holding. The child stopped sorting teeth. Quinn pulled out her badge anyway. Held it up. “Metropolitan Police. Nobody move.” The hooded woman smiled like a doctor being told to stay calm.
created_at"2026-09-10T10:21:48.563Z" 9/10/2026, 10:21:48 AM
model"deepseek/deepseek-v4.1-flash-20260910"
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tokens_completion4744
native_tokens_prompt4246
native_tokens_completion4330
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native_tokens_reasoning2734
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Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags2
adverbTagCount0
adverbTags(empty)
dialogueSentences18
tagDensity0.111
leniency0.222
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1206
totalAiIsmAdverbs0
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)
79.27% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1206
totalAiIsms5
found
0
word"weight"
count1
1
word"flicked"
count1
2
word"pulsed"
count1
3
word"mosaic"
count1
4
word"porcelain"
count1
highlights
0"weight"
1"flicked"
2"pulsed"
3"mosaic"
4"porcelain"
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
narrationSentences154
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences154
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences168
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen37
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1206
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
95.75% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions32
wordCount1106
uniqueNames15
maxNameDensity1.08
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Tomás1
Herrera6
Old1
Compton1
Street1
Camden1
Morris2
Response1
Quinn12
Tube1
London1
Covent1
Garden1
Eleven1
Spanish1
persons
0"Tomás"
1"Herrera"
2"Morris"
3"Quinn"
4"Eleven"
places
0"Old"
1"Compton"
2"Street"
3"London"
4"Covent"
5"Garden"
globalScore0.958
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences71
glossingSentenceCount1
matches
0"something like that once before"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1206
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences168
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs62
mean19.45
std19.6
cv1.008
sampleLengths
038
14
246
34
42
52
648
75
827
96
105
1140
127
1322
141
1516
1638
177
182
1917
208
212
227
2354
244
259
269
2754
2810
2917
308
3156
3233
3320
3444
3537
3666
377
388
393
403
4125
4265
4325
4489
4528
461
4725
4812
4914
98.43% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences154
matches
0"was rusted"
1"were lettered"
2"being told"
89.50% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs181
matches
0"was already running"
1"was saying"
2"was holding"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences168
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1108
adjectiveStacks0
stackExamples(empty)
adverbCount27
adverbRatio0.024368231046931407
lyAdverbCount1
lyAdverbRatio0.0009025270758122744
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences168
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences168
mean7.18
std6.71
cv0.934
sampleLengths
08
117
21
39
41
51
61
74
89
919
105
1113
124
132
142
1520
1612
175
1811
193
202
214
2213
231
249
256
265
276
2813
2916
303
312
324
333
3412
352
362
376
381
392
409
415
428
4330
447
452
465
478
484
494
67.06% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats14
diversityRatio0.4523809523809524
totalSentences168
uniqueOpeners76
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount6
totalSentences119
matches
0"Then he turned down an"
1"Just a brick wall and"
2"Then, in the corner of"
3"Just a small bowl welded"
4"Somewhere far off, a bell"
5"Then the figure turned."
ratio0.05
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount26
totalSentences119
matches
0"She knew the weight of"
1"He was already running."
2"She pushed to her feet"
3"He hadn't looked back once."
4"She'd bet on plan."
5"She closed the gap on"
6"Her boots hammered the tarmac."
7"He didn't look scared."
8"She went in after him."
9"She looked up."
10"He looked down at her."
11"She was heavier than him."
12"She braced for a body."
13"She played the last second"
14"She crossed the gap, dropped"
15"She climbed down into a"
16"She kept walking because there"
17"She had felt something like"
18"She should walk out."
19"She should call it in."
ratio0.218
100.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount85
totalSentences119
matches
0"The bone token hit the"
1"Quinn dropped, palm slapping wet"
2"She knew the weight of"
3"He was already running."
4"She pushed to her feet"
5"Soho at midnight, rain coming"
6"He hadn't looked back once."
7"She'd bet on plan."
8"Quinn cut across the middle"
9"She closed the gap on"
10"Her boots hammered the tarmac."
11"Water flicked off her shoulders"
12"Herrera glanced back."
13"He didn't look scared."
14"That was the thing she"
15"A man late for something"
16"She went in after him."
17"The alley was a dead"
18"Bins on both sides, a"
19"Quinn pulled her torch and"
ratio0.714
42.02% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences119
matches
0"By the time she reached"
ratio0.008
75.89% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences32
technicalSentenceCount3
matches
0"She climbed down into a maintenance shaft, her torch beam sweeping concrete that smelled of dust and old iron."
1"The tiles were the wrong shape, a mosaic that shifted when she looked at it, and the signs overhead were lettered in a font the city had never approved, reading…"
2"A woman in a red sari sold glass vials of something that steamed in the cold."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount0
fancyTags(empty)
dialogueSentences18
tagDensity0.111
leniency0.222
rawRatio0
effectiveRatio0
94.9308%