Run: 2026-09-23-01M36NH1E33P13CS5R0CTSXC1R

Run Details

Duration:
30.7s
Cost:
$0.001629
Provider:
OpenAI

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 suspect vaulted the railings and hit the bonnet of a taxi hard enough to fold it. Harlow Quinn cleared the barrier after him. Her boots skidded on the wet road. A horn blared in her ear. She threw up one hand, showed the driver her warrant card, and kept running. “Police! Stop!” The man glanced back. His hood had slipped, exposing a narrow face and a mouth split by an old scar. He smiled as if she’d told him a joke. Then he ducked into a passage between two shuttered shops. Quinn followed. Eighteen years in the Met had taught her to read a fleeing man’s shoulders, his stride, the lie in the way he looked back. This one moved like he knew the city beneath the city. He cut through the passage, vaulted a stack of bins and slipped between two delivery vans before she reached the far end. Her radio crackled against her shoulder. “Quinn, confirm your location.” “Camden High Street. Pursuing on foot, male, dark jacket, grey hood.” “Backup’s three minutes out.” “He won’t be.” She shoved past a couple sheltering under a shop awning. The suspect ran into the flow of people leaving a late-night club, shouldered through them, then veered into a narrow lane where the streetlamps gave way to a red sign above a closed café. Quinn lost sight of him for half a second. That was all he needed. A metal door banged shut at the lane’s end. Quinn reached it with her hand on her baton. No handle. No lock she could see. A black camera sat above the frame, its lens glistening with rain. “Open the door,” she called. The camera turned towards her. She kicked the metal panel. The impact jarred her shin. Nothing moved. A voice came from the other side. “Wrong entrance, Detective.” Quinn froze. She knew that voice. Not from a suspect interview or a witness statement. From the clipped audio in a case file she’d never been allowed to close. “Where did you get that name?” No answer. She drew her weapon and aimed at the door. Her left wrist shifted beneath her coat, leather watch tight against the pulse there. The door clicked. Quinn leaned back as it swung inward. Beyond it, a steep stairwell dropped beneath the pavement. Damp stone caught the light from a single bulb at the bottom. The air carried the smell of rust and something sweet, like fruit left too long in a cellar. The suspect waited on the first landing. “Come alone,” he said. “You’ve got one chance to make that sound less stupid.” He backed down another step. Quinn checked the street behind her. A pair of club-goers stumbled past the lane mouth. No uniformed officers. No clear line to the main road. Her radio hissed. “Quinn, report.” She pressed the talk button. “Found an entrance. I’m going below street level. Send units to the lane.” Static answered. The suspect descended. Quinn kept her gun trained on him and followed, one step at a time. The metal door shut above her. Its lock turned with a heavy clunk. At the foot of the stairs, he vanished through an archway. The passage beyond looked like an abandoned Tube station: tiled walls, a cracked platform, a dead clock with no hands. Someone had painted over the old station name. The white letters still showed through in places, though Quinn couldn’t read them. Beneath her boots, water ran along the track bed in a thin, black stream. A row of market stalls occupied the platform. One sold glass jars filled with things that twitched. Another displayed rows of silver knives, each marked with a red thread. People moved between them in coats and masks, their voices low and brisk. A woman in a green veil counted coins with three hands. Near the far wall, a man offered a rack of teeth from a velvet-lined case. Quinn lowered her weapon by an inch. Not enough to holster it. The suspect pushed through the crowd. “Police!” she shouted. “Clear the platform!” Nobody moved. A stallholder covered a tray of pale, finger-shaped roots with a cloth. “Who let her in?” someone called. “I’m pursuing a suspect. Stay out of my way.” A broad man in a leather apron stepped into the aisle. His gaze settled on her badge, then her weapon. “Token.” “Move.” “Market rule.” The suspect glanced over his shoulder and lifted a small white object between two fingers. A sliver of bone. He dropped it. It struck the tiles and slid beneath a stall. Quinn saw his trick for what it was. The man wanted her to follow without the token. The crowd wanted to see what happened next. The apron man reached for her wrist. Quinn caught his thumb, twisted it back, and shoved him against a post. A row of brass bells rang overhead. “Touch me again and I’ll break the other hand.” He drew a short blade from beneath his apron. Quinn stepped away. The suspect had reached the far end of the platform and was opening a narrow service door. She could leave. She had a direction, a description, and a market full of witnesses who’d just watched her threaten a man with a knife. Her radio remained dead. She had no backup and no idea what the blades, jars or teeth did. The suspect looked back. “Ask Morris what came through the wall.” The name struck harder than the run had. Quinn’s grip tightened around her pistol. “Say that again.” He smiled and slipped through the door. The apron man lunged. Quinn slammed her elbow into his throat, ducked under his arm and dropped to one knee beside the stall. The bone token lay beneath a drape. She grabbed it and rose as the man coughed behind her. A toothseller clutched her sleeve. “Don’t take that below.” “Why?” “Because it knows who carries it.” The service door began to close. Quinn shoved the bone token into her pocket and lunged. She caught the door with her boot before it shut, then pushed through into a sloping tunnel. The crowd’s voices fell away behind her. She drew her torch and swept its beam across damp brick, old cables and a line of white marks painted on the floor. Her radio clicked. “Quinn?” She snatched it from her shoulder. “Control, I’m below Camden. Send—” A burst of static swallowed the rest. Then a second voice came through, faint and close. “Detective Quinn.” She stopped. The voice sounded like DS Morris. Not the dead man’s voice on a recording, thin and warped by the archive speaker. The live one. Dry, precise, impatient. “Don’t follow him.” Quinn kept the torch trained on the tunnel. The beam picked out a smear on the brick: a handprint, black and glossy. “Morris?” “Leave the token. Come back up.” A shape moved at the end of the tunnel. Quinn raised her weapon. The shape was the suspect, half-hidden behind an iron gate. He held a small object against the mesh. A watch, worn leather strap dangling from his fist. Quinn looked down at the watch on her own left wrist. The face had stopped. “Where did you get that?” she called. The suspect turned the watch so its cracked glass caught her torch beam. On its back, someone had scratched two letters: D. M. The radio crackled in her hand. “Quinn, do not let him open the gate.” Her thumb pressed against the talk button. “What’s behind it?” The suspect glanced at the token in her pocket. “Your partner.” The gate shuddered. Something on the other side struck it once. The iron bars bowed towards Quinn. Dust sifted from the ceiling. The suspect stepped back, still holding Morris’s watch. The second blow split the lock. Quinn aimed at the gap. The gate burst open. A hand shot through the bars and closed around her wrist. Cold fingers crushed bone. Her torch hit the floor, its beam spinning across the tunnel as the hand dragged her towards the dark.
created_at"2026-09-23T08:18:45.981Z" 9/23/2026, 8:18:45 AM
model"openai/gpt-6-luna-20260922"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency9218
moderation_latency(null)
generation_time30395
tokens_prompt4484
tokens_completion2019
native_tokens_prompt4132
native_tokens_completion2225
native_tokens_completion_images0
native_tokens_reasoning512
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"completed"
service_tier"default"
usage0.001628925
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790151526-OY8NDgFKG3zHhDKZg9yw"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790151526-ad5W10aBQ3cDgW2r2NxK"
upstream_id"resp_0ddc3ec1033ef73e016ab38b66317c87d19cdff045b9fb96d8"
provider_responses
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endpoint_id"05e94e02-b9c2-4bbb-ba55-4082ee9ad687"
id"resp_0ddc3ec1033ef73e016ab38b66317c87d19cdff045b9fb96d8"
is_byokfalse
latency373
model_permaslug"openai/gpt-6-luna-20260922"
provider_name"OpenAI"
status200
total_cost0.001628925
cache_discount-0.000103225
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags5
adverbTagCount0
adverbTags(empty)
dialogueSentences35
tagDensity0.143
leniency0.286
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1344
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)
88.84% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1344
totalAiIsms3
found
0
word"glistening"
count1
1
word"pulse"
count1
2
word"velvet"
count1
highlights
0"glistening"
1"pulse"
2"velvet"
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
narrationSentences142
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences142
filterMatches
0"watch"
hedgeMatches
0"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences172
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
totalWords1344
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions10
unquotedAttributions0
matches(empty)
62.06% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions25
wordCount1194
uniqueNames4
maxNameDensity1.76
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Quinn21
Met1
Tube1
Morris2
persons
0"Quinn"
1"Morris"
places(empty)
globalScore0.621
windowScore0.833
97.92% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences96
glossingSentenceCount2
matches
0"looked like an abandoned Tube station: ti"
1"sounded like DS Morris"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1344
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences172
matches
0"knew that voice"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs102
mean13.18
std14.14
cv1.073
sampleLengths
017
134
22
329
410
559
66
74
811
94
103
1153
125
139
1428
155
165
1712
187
193
2029
216
222
2323
243
2546
267
274
2810
295
3028
312
325
3313
342
3530
3611
3755
388
3960
4012
416
426
4314
446
459
4620
471
481
492
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences142
matches
0"been allowed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs201
matches
0"was opening"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences172
ratio0
matches(empty)
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1199
adjectiveStacks1
stackExamples
0"pale, finger-shaped roots"
adverbCount18
adverbRatio0.015012510425354461
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences172
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences172
mean7.81
std5.21
cv0.667
sampleLengths
017
17
27
36
414
52
64
716
89
910
102
1124
1211
1322
146
154
1611
174
183
1910
2034
219
225
239
249
252
265
2712
285
295
305
315
322
337
343
352
364
379
3814
396
402
419
4214
433
447
459
4612
4718
487
494
56.01% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.36046511627906974
totalSentences172
uniqueOpeners62
52.08% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences128
matches
0"Then he ducked into a"
1"Then a second voice came"
ratio0.016
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount32
totalSentences128
matches
0"Her boots skidded on the"
1"She threw up one hand,"
2"His hood had slipped, exposing"
3"He smiled as if she’d"
4"He cut through the passage,"
5"Her radio crackled against her"
6"She shoved past a couple"
7"She kicked the metal panel."
8"She knew that voice."
9"She drew her weapon and"
10"Her left wrist shifted beneath"
11"He backed down another step."
12"Her radio hissed."
13"She pressed the talk button."
14"Its lock turned with a"
15"His gaze settled on her"
16"He dropped it."
17"It struck the tiles and"
18"He drew a short blade"
19"She could leave."
ratio0.25
34.22% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount109
totalSentences128
matches
0"The suspect vaulted the railings"
1"Harlow Quinn cleared the barrier"
2"Her boots skidded on the"
3"A horn blared in her"
4"She threw up one hand,"
5"The man glanced back."
6"His hood had slipped, exposing"
7"He smiled as if she’d"
8"This one moved like he"
9"He cut through the passage,"
10"Her radio crackled against her"
11"She shoved past a couple"
12"The suspect ran into the"
13"Quinn lost sight of him"
14"That was all he needed."
15"A metal door banged shut"
16"Quinn reached it with her"
17"A black camera sat above"
18"The camera turned towards her."
19"She kicked the metal panel."
ratio0.852
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences128
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences43
technicalSentenceCount1
matches
0"She had a direction, a description, and a market full of witnesses who’d just watched her threaten a man with a knife."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags5
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount1
fancyTags
0"she shouted (shout)"
dialogueSentences35
tagDensity0.143
leniency0.286
rawRatio0.2
effectiveRatio0.057
89.5042%