Run: 2026-09-24-01M39VHS0Y7QZ6SPZXD72YWJCQ

Run Details

Duration:
1m 44s
Cost:
$0.008235
Provider:
AionLabs

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
Marsh vaulted a fruit stall and oranges exploded across the pavement. Quinn took the kerb at a sprint, boots skidding on wet stone. Three years chasing ghosts, and tonight one of them had a pulse. She'd picked him up outside the Raven's Nest, its green neon bleeding into the rain, a paper-wrapped parcel tucked under his arm. She'd given him two streets before he clocked her reflection in a chemist's window. Then he ran. "Police! Stop!" He didn't. He was younger, lighter, and he knew these streets the way rats know a ship. He cut left off Wardour Street, through steam pouring from a kitchen vent, and Quinn lost him for half a second before the flash of his trainers showed between two parked vans. A delivery cyclist swerved, shouted something about her mother, and kept going. She kept going too. Gerrard Street. The arch. He ducked through a restaurant's back corridor, past stacked crates and the stink of garlic and dishwater, and she followed close enough to hear his breath bounce off the tiles. Out a fire door. Over a gate into a service yard, and she landed hard, palm slapping puddle water, and came up running. He was fast. But something was wrong with the way he ran. At every corner he glanced back, which was normal. At every corner he also took the slower line, hugged the wall, gave her the straight route. She filed it away with the rest of the things she didn't like about tonight. Up Charing Cross Road the traffic thinned. A night bus lumbered past, windows yellow and empty, and Marsh didn't use it for cover, didn't cut across its bow. He ran alongside it like a man walking a dog. North. Always north. Rain hammered the awnings and bounced off the road in a grey mist. Her lungs burned. Her shoulders ached where the cold had worked in. The worn leather of her watch strap had gone dark with water, and the tick-tock of it against her wrist kept time with her footfalls, patient as a metronome. Then the streets changed. Shutters and grillwork. The camel statue outside a closed arcade. Camden. Marsh turned off the High Street into a side road she didn't have a name for, and Quinn knew the chase was over, because there was nowhere left for it to go. A dead end. A brick wall, a shuttered kebab shop, and a construction hoarding plastered with peeling posters for bands that had split a decade ago. He turned to face her. A short blade came out of his coat. "You've got good lungs," he said. "For a detective." "Drop it, Marsh. You're done. Parcel, knife, the lot." "You reckon?" He backed toward the hoarding, blade low, and his grin had no nerves in it anywhere. "You've been knocking on the wrong doors three years. Your partner's door. Remember which one that was?" Her grip shifted on the baton. "Don't." He came at her, fast and dirty, blade leading. She turned inside the arc, caught his wrist, drove the baton down across his forearm. The knife clattered off wet tarmac. He grabbed for her collar, all panic and weight, and her free hand found the cord at his neck and yanked. Something snapped. A token came away in her fist, yellowed bone, drilled through and strung on leather, and it was warm. Warm as a living thing, despite the rain. He stopped fighting. Stood there, chest heaving, and smiled at her. "That's mine." "It's evidence now." "You'll need it more than me." He wiped blood from his lip with the back of his hand. "Go on, Quinn. Ticket's in your hand. Everything you've been hunting's down there. Everything your lot couldn't find with their torches and their tape." "Down where?" "You already know. You followed me well enough." He stepped back to the hoarding, found the seam between two panels, and pulled. A gap opened on darkness. "Fair warning. Once you're in, you're in the ledger." "Marsh. Hands where I can see them. We do this upstairs, proper." "Proper." He laughed, once, short. "That's a good one. That's why they let you keep the badge." He slipped through the gap and didn't run. She heard his footsteps descend, unhurried, a stairwell swallowing him one step at a time. Quinn stood in the rain with a bone token in her fist and her radio hissing static against her shoulder, though she hadn't keyed it. She keyed it now. Static answered, thick and dead, the sound of a signal going nowhere. The last time she'd followed a suspect underground, Morris had gone in first. That was the rule, his rule, always the sergeant leading from the front, and the stairwell had given him back to her as a case file she was never permitted to close. She'd read it forty times. The cause of death had a question mark on it. A question mark, on a coroner's report. Her torch was on her belt. Her baton on the other hip. The token was warm, and it cooled in her hand the longer she stood there, like a coin spent once could never be spent again. She checked the street both ways, out of eighteen years of habit, then pocketed the token and went in. The stairs were old Tube stock, terracotta tiles slick with runoff, and her torch beam crawled over enamel posters advertising holidays to Margate and cigarettes no one had sold since before she was born. At the bottom, a platform stretched into the dark. A turnstile stood in the middle of it, rusted chrome, and beside the turnstile stood a figure in a long grey coat with its hood back and no face where a face should have been. Just smooth skin, like a thumbprint pressed over all of it. The torch beam shook. She steadied it. "Token," the figure said. Its voice came from somewhere south of its chest. She placed the bone in a palm that opened where no hand had been a moment before. The figure turned the token over. Brought it close, where a nose would be, and drew breath. "Not your bone." "It'll do." A pause. Somewhere far down the tunnel, water dripped in a slow rhythm, drip-drop, drip-drop. "In," the figure said. "The token buys the door, detective. Nothing else. Mind the prices down here. Nothing's marked, and everything's collected." The turnstile clicked. She passed through. The platform opened into a cavern of candlelight and canvas. Stalls lined both sides of the old tracks, dozens of them, hung with jars and cages and bundles of dried things she had no names for. A woman sold keys from a velvet tray, and every key was different and every lock, Quinn understood, would open for each one. A dentist's chair sat under a lamp beside a stall of stoppered vials, green and amber and one that moved. Burnt sugar and wet stone thickened the air. Somewhere, a fiddle played a tune with no end to it, and the crowd moved between the stalls in coats and hoods and, here and there, shapes that no coat accounted for. Movement ahead. Marsh's shoulders, threading the crowd. She pushed after him. Excused herself past a man weighing fingers on brass scales. Past a boy selling secrets from an open ledger, each page torn out and folded. The crowd thickened, then spat her into a clear stretch of track bed, and Marsh was there, ten metres on, walking still, not running, as if he'd never once considered that she'd catch him. She covered the distance and seized his arm and spun him against a support pillar. "That's far enough. You're under arrest, and this time you'll..." The fiddle stopped. It happened like a wave, silence rolling outward from the far end of the market, stall by stall, candle flames standing still in the dead air. Every face turned toward her. Hoods came back. The dentist looked up from his vials. The key woman closed her tray with a click that carried the whole length of the platform. Marsh didn't struggle in her grip. He watched her, almost kind. A voice spoke from the dark behind the last stall, dry as paper, and it used her name like it had been keeping it warm. "Let her be. She's expected."
created_at"2026-09-24T14:01:44.763Z" 9/24/2026, 2:01:44 PM
model"aion-labs/aion-3.5-mini-20260923"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2364
moderation_latency(null)
generation_time103700
tokens_prompt4484
tokens_completion5742
native_tokens_prompt4192
native_tokens_completion5343
native_tokens_completion_images(null)
native_tokens_reasoning3768
native_tokens_cached4192
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
service_tier(null)
usage0.00823476
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
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request_id"req-1790258504-PqrJMnV1fVeM7IivFXdg"
session_id(null)
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api_type"completions"
id"gen-1790258504-QGtaREt27rgeEldxecKf"
upstream_id"c89ad8720c9d4d5bad3b88e260cb8e9b"
provider_responses
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endpoint_id"60ac3bdc-90ec-4769-9193-2c00b4d79562"
id"c89ad8720c9d4d5bad3b88e260cb8e9b"
is_byokfalse
latency2364
model_permaslug"aion-labs/aion-3.5-mini-20260923"
provider_name"AionLabs"
status200
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cache_discount0.00217984
upstream_inference_cost0
provider_name"AionLabs"
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Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags7
adverbTagCount1
adverbTags
0"He stepped back [back]"
dialogueSentences24
tagDensity0.292
leniency0.583
rawRatio0.143
effectiveRatio0.083
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1391
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)
82.03% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1391
totalAiIsms5
found
0
word"pulse"
count1
1
word"weight"
count1
2
word"footsteps"
count1
3
word"velvet"
count1
4
word"silence"
count1
highlights
0"pulse"
1"weight"
2"footsteps"
3"velvet"
4"silence"
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
narrationSentences107
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences107
filterMatches
0"know"
1"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences124
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen35
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1391
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions6
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions24
wordCount1234
uniqueNames13
maxNameDensity0.49
worstName"Marsh"
maxWindowNameDensity1.5
worstWindowName"Marsh"
discoveredNames
Raven1
Nest1
Wardour1
Street3
Quinn5
Charing1
Cross1
Road1
Marsh6
High1
Morris1
Tube1
Margate1
persons
0"Quinn"
1"Marsh"
2"Morris"
places
0"Raven"
1"Wardour"
2"Street"
3"Charing"
4"Cross"
5"Road"
6"High"
7"Margate"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences71
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1391
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences124
matches
0"considered that she'd"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs52
mean26.75
std25.84
cv0.966
sampleLengths
011
124
239
32
461
54
657
712
841
941
1054
1115
1258
1313
149
159
1635
177
1880
193
208
212
223
2342
242
2536
2612
2717
2823
2941
3067
3137
3219
3389
347
3513
3634
373
382
3915
4022
416
42119
437
4463
4515
4610
473
4858
4911
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences107
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs207
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences124
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1238
adjectiveStacks0
stackExamples(empty)
adverbCount29
adverbRatio0.023424878836833602
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences124
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences124
mean11.22
std8.89
cv0.792
sampleLengths
011
112
212
322
414
53
62
72
815
932
1012
114
122
132
1430
154
1619
173
189
199
2017
2115
227
2321
2410
251
262
2713
283
299
3029
314
323
337
341
3532
363
3723
385
398
406
413
429
4318
4417
456
461
479
4815
496
58.33% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats11
diversityRatio0.4032258064516129
totalSentences124
uniqueOpeners50
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount5
totalSentences97
matches
0"Then he ran."
1"Then the streets changed."
2"Just smooth skin, like a"
3"Somewhere far down the tunnel,"
4"Somewhere, a fiddle played a"
ratio0.052
71.55% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount36
totalSentences97
matches
0"She'd picked him up outside"
1"She'd given him two streets"
2"He was younger, lighter, and"
3"He cut left off Wardour"
4"She kept going too."
5"He ducked through a restaurant's"
6"He was fast."
7"She filed it away with"
8"He ran alongside it like"
9"Her lungs burned."
10"Her shoulders ached where the"
11"He turned to face her."
12"He backed toward the hoarding,"
13"Her grip shifted on the"
14"He came at her, fast"
15"She turned inside the arc,"
16"He grabbed for her collar,"
17"He stopped fighting."
18"He wiped blood from his"
19"He stepped back to the"
ratio0.371
63.09% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount77
totalSentences97
matches
0"Marsh vaulted a fruit stall"
1"Quinn took the kerb at"
2"She'd picked him up outside"
3"She'd given him two streets"
4"He was younger, lighter, and"
5"He cut left off Wardour"
6"A delivery cyclist swerved, shouted"
7"She kept going too."
8"He ducked through a restaurant's"
9"He was fast."
10"She filed it away with"
11"A night bus lumbered past,"
12"He ran alongside it like"
13"Her lungs burned."
14"Her shoulders ached where the"
15"The worn leather of her"
16"Shutters and grillwork."
17"The camel statue outside a"
18"Marsh turned off the High"
19"A dead end."
ratio0.794
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences97
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences47
technicalSentenceCount2
matches
0"A brick wall, a shuttered kebab shop, and a construction hoarding plastered with peeling posters for bands that had split a decade ago."
1"The crowd thickened, then spat her into a clear stretch of track bed, and Marsh was there, ten metres on, walking still, not running, as if he'd never once cons…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags7
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount1
fancyTags
0"He laughed (laugh)"
dialogueSentences24
tagDensity0.167
leniency0.333
rawRatio0.25
effectiveRatio0.083
92.5000%