Run: 2026-05-29-01KSSJFDFACRXPQC0SZ7NVVZ4J

Run Details

Duration:
44.5s
Cost:
$0.087985
Provider:
Anthropic

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 man bolted the second Quinn flashed her badge. She'd expected it. Eighteen years on the job taught her to read the twitch before the run, the shift of weight onto the balls of the feet, the eyes that flicked toward the nearest gap in the crowd. Tomás Herrera had all three. "Police! Stop!" He didn't. Quinn shoved past a knot of drunks spilling out of a kebab shop and gave chase. Rain hammered the Soho pavement, sheeting off awnings, turning the neon into smeared ribbons of red and gold. Her boots slapped through puddles. Ahead, Herrera ducked left down a side street, his curly dark hair plastered flat, that ridiculous medallion bouncing against his chest. She'd been watching him for a fortnight. The paramedic who wasn't a paramedic anymore. The man who showed up wherever the clique gathered, carrying a kit bag and asking no questions. He knew things. About them. Maybe about Morris. "Herrera!" Her voice cracked off the brick. "I just want to talk!" "Liars always do!" he shouted back, not slowing. So he could run and talk. Noted. He cut across Brewer Street against the traffic. A taxi blared its horn, brakes shrieking, and Herrera vaulted over the bonnet with the easy grace of a man who'd done worse for less. Quinn went round the back, lost half a second, made it up by cutting the corner tight. Her lungs burned. Forty-one wasn't twenty-five, and the rain made every surface a threat. But she'd run down men twice his size and half his speed. He couldn't sprint forever. The trouble was, he wasn't trying to outrun her. He was leading her somewhere. She clocked it three turns in. The way he glanced back, checking she still followed. The deliberate route, threading away from the bright streets and the cameras, down into the older bones of the city where the lanes narrowed and the streetlamps grew sparse and the puddles ran black. A smarter detective might have peeled off. Called it in. Waited. Quinn kept running. Herrera hit a stretch of hoardings, construction signs warning of works that never seemed to finish, and slipped through a gap in the plywood. Quinn followed and found herself on a concrete ramp slick with rainwater, descending under the street. Old tiling caught her torch beam. A rusted sign, paint long faded, but she could still make out the ghost of a roundel. A disused Tube station. Camden's old guts. She paused at the lip of the dark. Cold air breathed up from below, carrying smells that didn't belong in any building site. Woodsmoke. Something sweet and rotten underneath, like fruit left too long in the sun. And beneath that, faint, the copper bite of blood. Every instinct she owned told her to stop. She thought of Morris. Three years dead, or worse than dead, and the report still open on her desk because nothing in it made sense. The witnesses who recanted. The CCTV that showed nothing. The way her own partner had looked at her in those last weeks, like he'd seen something behind the world and couldn't unsee it. The clique knew. Herrera knew. Quinn drew her weapon and went down into the dark. The ramp opened onto a platform that shouldn't have been there. The old tracks were gone, the trench floored over, and where commuters once waited for trains there now stood stalls. Dozens of them, lit by lanterns that burned with flames the wrong colour, blue and green and a violet that hurt to look at directly. Hooded figures moved between them. Tables groaned under jars of things that twitched. A woman with too many fingers weighed silver dust on brass scales. The murmur of the crowd died as Quinn stepped out, gun raised, badge held high in her other hand. "Metropolitan Police. Nobody move." It was, she understood half a heartbeat later, the wrong thing to say. A hundred faces turned toward her. Not one of them looked afraid. A few of them weren't faces at all, not really, and her mind slid off the details the way a hand slides off wet glass. Herrera stood in the middle of the market, breathing hard, hands on his knees. He straightened and looked at her with something she hadn't expected. Pity. "You shouldn't have followed me," he said. The accent came through clearer now, the soft Spanish edges. "I tried to lose you. Truly. I went the long way so you'd give up." "You led me straight here." "I led you somewhere with witnesses." He shook his head, water flicking from his curls. "So they wouldn't do it quiet. So you'd have a chance." A chance. The word sat in her stomach like a stone. The crowd was closing in. Slow. Patient. A tall figure in a butcher's apron set down a cleaver that gleamed too brightly for the dim light and started toward her, unhurried, the way you approach something already caught. Quinn swung her gun toward him. Her hand was steady. It had always been steady. "I said nobody move." "That won't do what you think it does here." Herrera lifted both palms, slow, placating, stepping between her and the apron man. "Listen to me. You don't have a token. No bone token, you don't leave. That's the rule. Doesn't matter who you are up there." "What rule? Whose?" "Theirs." He jerked his chin at the crowd. "The market's. It moves every full moon and it eats anyone who comes uninvited. I'm not joking, Detective. I have buried people who came here looking for answers." Something cold trickled down Quinn's spine that had nothing to do with the rain. "Morris," she said. "DS Morris. You know what happened to him. Don't you." For the first time, Herrera went still. The pity in his face curdled into something more careful. "Who told you that name?" "You just did. Right now. Your face did." Quinn took a step forward, gun never wavering, and the butcher matched her, sliding closer. "Three years I've been chasing ghosts. And here you all are. Real as anything." "Put the gun down." Herrera's voice dropped, urgent now. "Please. Whatever you think you'll find, it's not worth this. They're going to come for both of us in about ten seconds, and the only way out is a door you can't see and I don't have the key for." The apron man stopped two feet from Quinn's barrel and smiled. He had no teeth at all, just a smooth pink ridge, and his breath smelled of the grave. "Detective," it said, in a voice like wet gravel. "You came to the Market. The Market keeps what it's given." Quinn's finger tightened on the trigger.
created_at"2026-05-29T09:54:02.877Z" 5/29/2026, 9:54:02 AM
model"anthropic/claude-4.8-opus-20260528"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2099
moderation_latency(null)
generation_time44420
tokens_prompt4663
tokens_completion1665
native_tokens_prompt6517
native_tokens_completion2216
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached0
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"end_turn"
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usage0.087985
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is_byokfalse
latency2099
model_permaslug"anthropic/claude-4.8-opus-20260528"
provider_name"Anthropic"
status200
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Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags10
adverbTagCount1
adverbTags
0"he shouted back [back]"
dialogueSentences25
tagDensity0.4
leniency0.8
rawRatio0.1
effectiveRatio0.08
91.09% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1122
totalAiIsmAdverbs2
found
0
adverb"really"
count1
1
adverb"truly"
count1
highlights
0"really"
1"truly"
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)
77.72% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1122
totalAiIsms5
found
0
word"weight"
count1
1
word"flicked"
count1
2
word"stomach"
count1
3
word"wavering"
count1
4
word"grave"
count1
highlights
0"weight"
1"flicked"
2"stomach"
3"wavering"
4"grave"
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
narrationSentences93
matches
0"looked afraid"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount2
narrationSentences93
filterMatches(empty)
hedgeMatches
0"seemed to"
1"started to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences108
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen40
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1122
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions9
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions28
wordCount902
uniqueNames8
maxNameDensity1.33
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Quinn12
Herrera9
Soho1
Morris2
Brewer1
Street1
Tube1
Spanish1
persons
0"Quinn"
1"Herrera"
2"Morris"
places
0"Soho"
1"Brewer"
2"Street"
globalScore0.835
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences59
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1122
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences108
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs49
mean22.9
std19.76
cv0.863
sampleLengths
09
143
22
32
460
539
612
78
87
950
1030
119
125
1349
1411
153
1663
177
1846
198
2058
215
2210
2381
2419
254
2613
2737
2825
291
3032
315
3226
3311
3438
3515
364
3746
383
3936
4014
4113
4217
435
4437
4549
4629
4720
486
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences93
matches
0"were gone"
76.54% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs162
matches
0"wasn't trying"
1"was leading"
2"was closing"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences108
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount904
adjectiveStacks0
stackExamples(empty)
adverbCount24
adverbRatio0.02654867256637168
lyAdverbCount4
lyAdverbRatio0.004424778761061947
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences108
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences108
mean10.39
std8.25
cv0.794
sampleLengths
09
13
235
35
42
52
616
718
85
921
107
117
1217
133
142
153
167
175
188
196
201
218
2225
2317
243
2511
2612
274
289
295
306
319
3234
337
343
351
363
3724
3816
396
4017
414
423
438
4415
451
4613
479
488
494
71.30% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.4722222222222222
totalSentences108
uniqueOpeners51
41.15% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences81
matches
0"Maybe about Morris."
ratio0.012
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount21
totalSentences81
matches
0"She'd expected it."
1"Her boots slapped through puddles."
2"She'd been watching him for"
3"He knew things."
4"Her voice cracked off the"
5"he shouted back, not slowing"
6"He cut across Brewer Street"
7"Her lungs burned."
8"He couldn't sprint forever."
9"He was leading her somewhere."
10"She clocked it three turns"
11"She paused at the lip"
12"She thought of Morris."
13"It was, she understood half"
14"He straightened and looked at"
15"He shook his head, water"
16"Her hand was steady."
17"It had always been steady."
18"He jerked his chin at"
19"He had no teeth at"
ratio0.259
58.77% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount65
totalSentences81
matches
0"The man bolted the second"
1"She'd expected it."
2"Tomás Herrera had all three."
3"Quinn shoved past a knot"
4"Her boots slapped through puddles."
5"She'd been watching him for"
6"The paramedic who wasn't a"
7"The man who showed up"
8"He knew things."
9"Her voice cracked off the"
10"he shouted back, not slowing"
11"He cut across Brewer Street"
12"A taxi blared its horn,"
13"Quinn went round the back,"
14"Her lungs burned."
15"He couldn't sprint forever."
16"The trouble was, he wasn't"
17"He was leading her somewhere."
18"She clocked it three turns"
19"The way he glanced back,"
ratio0.802
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences81
matches(empty)
ratio0
99.57% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences33
technicalSentenceCount2
matches
0"A taxi blared its horn, brakes shrieking, and Herrera vaulted over the bonnet with the easy grace of a man who'd done worse for less."
1"A tall figure in a butcher's apron set down a cleaver that gleamed too brightly for the dim light and started toward her, unhurried, the way you approach someth…"
25.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags10
uselessAdditionCount2
matches
0"he shouted back, not slowing"
1"He shook, water flicking from his curls"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount1
fancyTags
0"he shouted back (shout)"
dialogueSentences25
tagDensity0.16
leniency0.32
rawRatio0.25
effectiveRatio0.08
87.4821%