Run: 2026-09-23-01M37NVAAMFGNV73Z5AN9628TQ

Run Details

Duration:
52.8s
Cost:
$0.019404
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
The runner clipped the edge of a bus shelter and kept going, and Harlow Quinn cleared the same edge two seconds later without breaking stride. Rain hammered the pavement of Camden High Street hard enough to drown the traffic. He was good, this one. He ran like a man who'd been chased before, shoulders low, cutting diagonals across the wet tarmac instead of following the road. Tomás Herrera, if her intel was right. Former paramedic, struck off the register, now playing nursemaid to people who never showed up at A&E. She'd waited outside the Raven's Nest for three hours. He'd come out at half eleven carrying a medical bag that clinked. "Police!" she shouted, more out of ritual than hope. "Stop!" He didn't stop. He cut left down a service alley and she followed, boots skidding on slick cobbles, her breath tearing ragged in her throat. Eighteen years on the job and she still ran like a soldier, arms pumping, chin tucked. The alley narrowed between brick and corrugated steel. Bins. Steam from a kitchen vent. The smell of curry and bleach. Herrera vaulted a chain-link fence. The chain snagged his jacket, spun him half round, and something small and pale tumbled from his pocket and rang off the cobbles. He didn't look back for it. That told her plenty. Quinn swiped it up on the move without slowing. A disc of bone, thumb-sized, carved with a symbol she didn't recognise and a hole drilled through the top like a washer. Evidence bag, later. For now she closed her fist around it and ran. The alley spat her out onto a side street near the canal. Empty. No, not empty. A shape moving fast along the railings towards the old station approach, black jacket plastered dark with rain. She chased him past a shuttered pub and a nail salon with a dead neon sign, past hoardings plastered with peeling gig posters for bands that had broken up years ago. Her left knee burned, an old injury reminding her it existed. She ignored it the way she ignored most things that hurt. Three years ago she'd run like this through Bermondsey with Morris at her shoulder. A suspect, a burglar or something worse, had gone down into a maintenance tunnel by the railway arches. Morris went in first. Quinn remembered the dark swallowing him, remembered waiting, remembered the silence that came out of that tunnel like something physical. They'd found him three days later, two streets away, dead in a locked room with no wounds on him. The coroner had written cardiac arrest and looked grateful to be done with it. Herrera was still ahead of her, but slowing. He was talking to someone. She saw it as she rounded the hoardings, a figure standing at the top of a ramp that sloped down beneath a boarded-up Tube station entrance. The old Camden side entrance, bricked and bolted since before she'd made sergeant. Except the boards here hung open like a mouth. The figure at the ramp was wrong. Too tall, first of all, a head above Herrera, and built like a slab of wet clay. It wore a long coat and stood utterly still while the rain sheeted off it, and when it turned its face towards her, the streetlight caught eyes with no whites at all. Just black, edge to edge. Quinn's hand went to her service weapon on pure instinct. Herrera was showing the thing something in his palm. Another bone disc. The tall figure stepped aside, and Herrera glanced back at her across forty metres of rain, his face unreadable, and shouted something she lost to the wind. Then he dropped down the ramp and the dark took him the way it had taken Morris. The tall figure turned its full attention on her. Quinn slowed to a walk, then stopped. Rain drummed on her shoulders and ran cold down the back of her collar. Her heart slammed against her ribs and she made herself breathe through it, four counts in, four out, the way she'd been taught a lifetime ago. Options. She could call it in, except what would she say. She could wait for the runner to come back up, except men like Herrera knew a dozen ways out of a station, and this one had been moving its exits every month according to the whispers she'd spent six months collecting. She could go in. The tall figure hadn't moved. Rain crawled across its coat in beads that slid off without soaking in. Morris went in. That thought arrived uninvited, and she put it away in the box where she kept all thoughts of Morris, a box she'd nailed shut years ago and only opened drunk. She looked down the ramp. Beyond the broken boards, stairs descended into the old station, and a light flickered somewhere far below, amber and unsteady. Candlelight. She could smell it from here, wax and something sweeter underneath, incense or rot, her nose couldn't decide. Six months of work said this was the place. Every victim she couldn't explain, every witness who changed their story overnight, every crime scene with substances the lab returned marked unidentifiable, all of it pointed down those stairs. And the only man who could connect her to the clique had just walked in wearing a medical bag full of things that went clink. She opened her fist and looked at the bone disc. Entrance token, she'd bet her pension on it. Herrera's own, dropped in his hurry. A key to a door she'd spent half a year looking for, delivered by the suspect himself. "Right," she said to nobody, and walked towards the ramp. The tall figure shifted to block her path. Up close it smelled of cold stone, and its face had a texture she refused to examine, pores too large, skin like pumice. "Token," it said. The voice came out low and grinding, gravel in a drum. Quinn held up the bone disc between two fingers. The figure took it, turned it over with grey fingers, and looked at her for a long moment with those bottomless eyes. "He dropped it. I'm returning it." "He knows you have it." "Then he can tell me himself." The figure studied her the way a butcher studies a cut of meat, deciding where to place the knife. Then it stepped aside, and the boards behind it swung wide. "Human laws end at the bottom of the stairs," it said. "Market law doesn't." "Noted." She went past it and down. The stairs were old marble, chipped and slick, and the candlelight grew as she descended, along with the sounds. Murmured voices. The clink of coin. Music somewhere, a fiddle or something close to it, playing a tune that moved wrong, notes bending where they shouldn't. The stairwell opened out and the smell hit her properly at last, copper and incense and something herbal that made her tongue feel thick. She came out onto the old platform and stopped. The Veil Market spread before her, stalls crammed along the tracks and across the dead rails, canvas and string lights, a hundred candles in jars. People everywhere, except people was a generous word. A woman with too many joints in her fingers weighed something grey on brass scales. A child, she hoped it was a child, sat on the platform edge swinging legs that ended in hooves. A man behind a stall of bottled light caught her eye and smiled with a mouth that went back too far. Forty metres ahead, Herrera's dark jacket moved through the crowd, medical bag swinging, heading for the far end of the platform. Quinn stepped forward. Every candle on the platform guttered at once. The music stopped mid-note. The child stopped swinging its legs, and the whole market turned towards her, hundreds of faces, some human, some nothing close, and the silence came down like a lid. A hand closed on her shoulder from behind, cold through the wet wool of her coat. "Detective," said a voice at her ear. "You should have stayed for the rain."
created_at"2026-09-23T17:43:37.079Z" 9/23/2026, 5:43:37 PM
model"aion-labs/aion-3.5-20260923"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency568
moderation_latency(null)
generation_time52713
tokens_prompt4484
tokens_completion3091
native_tokens_prompt4192
native_tokens_completion2710
native_tokens_completion_images(null)
native_tokens_reasoning1164
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"
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Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags4
adverbTagCount0
adverbTags(empty)
dialogueSentences12
tagDensity0.333
leniency0.667
rawRatio0
effectiveRatio0
96.31% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1354
totalAiIsmAdverbs1
found
0
adverb"utterly"
count1
highlights
0"utterly"
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)
77.84% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1354
totalAiIsms6
found
0
word"pumping"
count1
1
word"silence"
count2
2
word"unreadable"
count1
3
word"flickered"
count1
4
word"marble"
count1
highlights
0"pumping"
1"silence"
2"unreadable"
3"flickered"
4"marble"
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
emotionTells1
narrationSentences103
matches
0"looked grateful"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences103
filterMatches
0"feel"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences110
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen41
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1354
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions8
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions35
wordCount1312
uniqueNames14
maxNameDensity0.69
worstName"Herrera"
maxWindowNameDensity2
worstWindowName"Herrera"
discoveredNames
Harlow1
Quinn7
Camden2
High1
Street1
Herrera9
Raven1
Nest1
Bermondsey1
Morris5
Tube1
Veil1
Market1
Rain3
persons
0"Harlow"
1"Quinn"
2"Herrera"
3"Morris"
4"Market"
5"Rain"
places
0"Camden"
1"High"
2"Street"
3"Raven"
4"Bermondsey"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences78
glossingSentenceCount1
matches
0"something close to it, playing a tune that moved"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1354
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences110
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs43
mean31.49
std21.24
cv0.675
sampleLengths
025
165
221
310
461
528
610
744
834
953
1056
1133
1261
1361
1410
1556
169
1747
1856
1918
2033
2144
2263
2310
2431
2510
2631
2714
2831
296
305
316
3230
3314
341
3551
3633
3788
3821
393
4041
4116
4214
98.45% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences103
matches
0"been chased"
1"been taught"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs212
matches
0"was talking"
1"was showing"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences110
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1316
adjectiveStacks0
stackExamples(empty)
adverbCount32
adverbRatio0.0243161094224924
lyAdverbCount4
lyAdverbRatio0.00303951367781155
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences110
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences110
mean12.31
std8.5
cv0.691
sampleLengths
025
114
25
322
47
517
69
712
89
91
103
1122
1216
138
141
155
166
175
1823
196
204
219
2222
233
2410
2512
261
273
2818
2931
3011
3111
3214
3318
344
3520
3619
3714
388
395
4026
4113
429
437
4417
4532
465
4710
489
493
65.45% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.43636363636363634
totalSentences110
uniqueOpeners48
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount4
totalSentences96
matches
0"Too tall, first of all,"
1"Just black, edge to edge."
2"Then he dropped down the"
3"Then it stepped aside, and"
ratio0.042
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount25
totalSentences96
matches
0"He was good, this one."
1"He ran like a man"
2"She'd waited outside the Raven's"
3"He'd come out at half"
4"she shouted, more out of"
5"He didn't stop."
6"He cut left down a"
7"He didn't look back for"
8"She chased him past a"
9"Her left knee burned, an"
10"She ignored it the way"
11"They'd found him three days"
12"He was talking to someone."
13"She saw it as she"
14"It wore a long coat"
15"Her heart slammed against her"
16"She could call it in,"
17"She could wait for the"
18"She could go in."
19"She looked down the ramp."
ratio0.26
48.54% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount79
totalSentences96
matches
0"The runner clipped the edge"
1"He was good, this one."
2"He ran like a man"
3"Tomás Herrera, if her intel"
4"She'd waited outside the Raven's"
5"He'd come out at half"
6"she shouted, more out of"
7"He didn't stop."
8"He cut left down a"
9"The alley narrowed between brick"
10"Steam from a kitchen vent."
11"The smell of curry and"
12"Herrera vaulted a chain-link fence."
13"The chain snagged his jacket,"
14"He didn't look back for"
15"That told her plenty."
16"Quinn swiped it up on"
17"A disc of bone, thumb-sized,"
18"Evidence bag, later."
19"The alley spat her out"
ratio0.823
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences96
matches(empty)
ratio0
37.04% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences54
technicalSentenceCount8
matches
0"He ran like a man who'd been chased before, shoulders low, cutting diagonals across the wet tarmac instead of following the road."
1"He cut left down a service alley and she followed, boots skidding on slick cobbles, her breath tearing ragged in her throat."
2"She chased him past a shuttered pub and a nail salon with a dead neon sign, past hoardings plastered with peeling gig posters for bands that had broken up years…"
3"She ignored it the way she ignored most things that hurt."
4"She saw it as she rounded the hoardings, a figure standing at the top of a ramp that sloped down beneath a boarded-up Tube station entrance."
5"Every victim she couldn't explain, every witness who changed their story overnight, every crime scene with substances the lab returned marked unidentifiable, al…"
6"Music somewhere, a fiddle or something close to it, playing a tune that moved wrong, notes bending where they shouldn't."
7"A child, she hoped it was a child, sat on the platform edge swinging legs that ended in hooves."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags4
uselessAdditionCount0
matches(empty)
66.67% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount1
fancyTags
0"she shouted (shout)"
dialogueSentences12
tagDensity0.333
leniency0.667
rawRatio0.25
effectiveRatio0.167
89.6767%