Run: 2026-10-13-01M4V1VWH9VVJ2JKGE7PDY8Z90

Run Details

Duration:
26.5s
Cost:
$0.020484
Provider:
Google AI Studio

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
Tomás vaulted the rusted iron railing, his heavy canvas medical bag slamming against his hip. He landed hard on the slick cobblestones below. "Stop! Police!" Harlow didn't bother with the stairs. She planted one hand on the wet metal and swung her legs over, dropping eight feet into the alley. The impact jarred her knees, shooting a dull ache up her spine, but she kept her stride. Eighteen years on the force taught you how to land without snapping an ankle. Ahead, the former paramedic scrambled up from the puddles. A silver Saint Christopher medallion bounced against his throat as he bolted toward the main road. Harlow pumped her arms, closing the distance. Her lungs burned with the taste of exhaust and wet slate. She had staked out the green neon glow of The Raven's Nest in Soho for six nights waiting for a break. Tonight, she had tailed Herrera all the way north to Camden, watching him clutch that bag like it held a ticking bomb. Or a heart. With the NHS disgraces on his record, either was possible. They burst out of the narrow alley onto Camden High Street. Puddles splashed beneath their boots, flip-flop, patter-splatter against the cracked pavement. Shutters covered the tourist traps and vintage clothing stalls. Above them, plastic dragons and giant fibreglass boots jutted from the dark brick facades, glistening with run-off. Tomás swerved around an overflowing industrial bin, sending a stack of sodden cardboard boxes crashing into Harlow's path. She kicked through the soggy pulp without breaking pace. A sharp left took them past a shut-down corner shop, its flickering fluorescent strip lighting up rows of faded crisps and dusty lottery scratchcards through the security grilles. The smell of stale frying oil hung heavy in the damp air, mixing with the rotting cabbage scent of the canal nearby. Tomás glanced back. The streetlamp caught his olive skin and the jagged white scar slicing down his left forearm as he shoved a metal gate aside. He ducked into the mouth of a derelict Tube station. Rusted padlocks and broken chains dangled from theconcertina iron doors, recently cut. Harlow skidded to a halt at the threshold, drawing her baton. Her worn leather watch ticked against her left wrist. Three minutes since he bolted. Backup wasn't coming, because she hadn't called it in. The brass thought her obsession with this clique was lingering trauma from losing DS Morris three years ago. They saw grief. She saw a syndicate that didn't leave normal crime scenes. Inside the station, the air smelled of damp mortar and ozone. Pitch black swallowed the ticket hall. Harlow clicked her torch on. The beam cut through floating dust motes, illuminating peeling posters for West End shows that had closed in the nineties. Rat droppings littered the cracked terracotta tiles. Footsteps echoed from the stairwell ahead. Clip-clop, rapid and descending. She vaulted the rusted turnstiles and followed the sound down the spiral emergency stairs. The deeper she went, the warmer the air grew. It didn't smell like London underground down here. The familiar stench of brake dust and grease vanished, replaced by burnt sage, copper, and something sweet that made her teeth ache. At the bottom of the steps, the tiled tunnel ended at a heavy oak door reinforced with black iron bands. No London Transport signage. Just a brass slot at eye level. Tomás stood in front of it, chest heaving, his dark curls plastered to his forehead. He reached into his coat pocket. Harlow levelled her torch at his chest. "Hands where I can see them, Herrera." "Walk away, Detective." "Drop the bag and step back from the door." "You have no idea what's behind here." "Try me." "It's not a crack den, Quinn. Your badge means nothing on the other side." "Then you won't mind opening your bag right here." Tomás didn't raise his hands. He kept his fingers buried in his pocket, his warm brown eyes fixed on the baton in her grip. The Saint Christopher medallion rose and fell with his ragged breathing. "I have a patient." "You lost your licence two years ago." "People still bleed." "People in Soho?" Harlow took a slow step forward, military precision in every shift of her weight. Her boots crunched on pulverized glass. "People who drink in back rooms behind bookshelves?" A muscle feathered in Tomás's cheek. He pulled his hand from his pocket. Between his thumb and forefinger, he held a small white disc. It looked like a slice of human femur, polished smooth and etched with jagged runes that hurt to look at directly. "Last chance, Detective. Go home. Forget the Nest." "Put the token on the floor." Tomás rapped his knuckles against the oak. Knock-knock, pause, knock. The brass slot slid open. No eyes appeared in the gap, just a pale, six-fingered hand with blackened nails, palm up. Harlow's breath hitched. Three years ago, in an abandoned warehouse in Rotherhithe, she had found DS Morris with his throat torn out and six-fingered bruising bruised deep into his collarbones. The coroner had called it an animal attack. Tomás dropped the bone token into the waiting palm. The fingers snapped shut. Heavy iron bolts groaned as they retracted on the other side of the wood. "Herrera, don't!" Harlow lunged forward, baton raised to strike his shoulder. The oak door swung inward, spilling violet light and a wall of noise into the dark tunnel. Tomás threw himself backward through the threshold. He hit the dirt floor on the other side and rolled to his feet, disappearing into a surging crowd. Harlow caught the heavy door with her boot before it could slam shut. The impact vibrated up her shin. She wedged her shoulder against the iron bands and peered through the gap. The abandoned Jubilee line platform was gone. In its place stretched a cavernous bazaar lit by floating glass orbs filled with erratic blue fire. Silk canopies in bruised purples and deep crimsons hung from the arched brick ceiling. Stalls made of charred driftwood lined the sunken tracks, manned by figures that were too tall, too thin, or folded at the wrong joints. The air tasted thick, like copper and static electricity. Wait. If she stepped through, she had no backup, no radio signal, and no jurisdiction that these things would recognise. Her hand went to the worn leather strap of her watch. Morris's blood had dried into that leather three years ago. She hadn't washed it off. The six-fingered doorman stepped into view. He stood seven feet tall, wearing a butcher's apron stained with luminescent green fluid. He had no eyes, just smooth, scarred skin stretched over his sockets, yet his head tilted directly toward her badge. "Token," the creature rasped, its voice like grinding stones. Harlow unclipped her baton, let it drop to her belt, and reached into her coat. She pulled out the evidence bag she had lifted from Morris's cold fingers before the forensic team arrived at Rotherhithe. Inside sat a bloody, rune-carved disc of bone. She ripped the plastic open with her teeth and slapped the bone into the creature's palm. The blind gatekeeper curled his six fingers around the token, his lipless mouth splitting into a grin that revealed rows of needle-sharp teeth, and dragged her inside by the throat as the oak door slammed shut behind her.
created_at"2026-10-13T16:34:54.653Z" 10/13/2026, 4:34:54 PM
model"google/gemini-4-argon-20261013"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2623
moderation_latency(null)
generation_time26206
tokens_prompt4484
tokens_completion1855
native_tokens_prompt4514
native_tokens_completion1614
native_tokens_completion_images0
native_tokens_reasoning0
native_tokens_cached2465
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"STOP"
service_tier(null)
usage0.0204845
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791909294-CRiBsUoXKVTVa1vI3Ztd"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791909294-xNmSkGo69zm9J6HxE0T2"
upstream_id"rl3OaqG_LPDSjMcP7KHbuQU"
provider_responses
0
endpoint_id"4934736c-d662-4fe3-98eb-56def8c8c174"
id"rl3OaqG_LPDSjMcP7KHbuQU"
is_byokfalse
latency2623
model_permaslug"google/gemini-4-argon-20261013"
provider_name"Google AI Studio"
status200
total_cost0.0204845
cache_discount0.009367
upstream_inference_cost0
provider_name"Google AI Studio"
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
totalTags2
adverbTagCount0
adverbTags(empty)
dialogueSentences17
tagDensity0.118
leniency0.235
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1224
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)
67.32% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1224
totalAiIsms8
found
0
word"glistening"
count1
1
word"footsteps"
count1
2
word"echoed"
count1
3
word"familiar"
count1
4
word"weight"
count1
5
word"etched"
count1
6
word"vibrated"
count1
7
word"silk"
count1
highlights
0"glistening"
1"footsteps"
2"echoed"
3"familiar"
4"weight"
5"etched"
6"vibrated"
7"silk"
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
narrationSentences95
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences95
filterMatches
0"watch"
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
maxSentenceWordsSeen39
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1224
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions1
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions45
wordCount1129
uniqueNames19
maxNameDensity0.97
worstName"Harlow"
maxWindowNameDensity2.5
worstWindowName"Tomás"
discoveredNames
Saint2
Christopher2
Raven1
Nest1
Soho1
Herrera1
Camden2
High1
Street1
Harlow11
Tube1
Morris4
West1
End1
London2
Transport1
Tomás9
Rotherhithe2
Jubilee1
persons
0"Saint"
1"Christopher"
2"Raven"
3"Herrera"
4"Harlow"
5"Morris"
6"Tomás"
places
0"Soho"
1"Camden"
2"High"
3"Street"
4"West"
5"End"
6"London"
7"Rotherhithe"
globalScore1
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences81
glossingSentenceCount1
matches
0"looked like a slice of human femur, polis"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1224
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences110
matches
0"clutch that bag"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs49
mean24.98
std19.36
cv0.775
sampleLengths
023
12
256
325
474
548
618
759
826
922
1065
1117
1232
1310
1453
1531
1621
177
187
193
209
217
222
2314
249
2535
264
277
283
2931
3045
318
326
3310
3421
3538
3627
372
389
3924
4019
4132
4271
4346
4440
459
4643
4716
4838
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences95
matches
0"was gone"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs189
matches
0"wasn't coming"
1"was lingering"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences110
ratio0
matches(empty)
88.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1140
adjectiveStacks2
stackExamples
0"pale, six-fingered hand"
1"bloody, rune-carved disc"
adverbCount14
adverbRatio0.012280701754385965
lyAdverbCount3
lyAdverbRatio0.002631578947368421
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
mean11.13
std6.65
cv0.598
sampleLengths
015
18
22
36
419
517
614
79
816
97
1011
1121
1222
133
1410
1511
1611
179
1817
1918
209
2128
2222
233
2423
2510
2612
2711
289
295
309
3118
323
3310
3411
356
365
3720
387
396
404
4114
429
438
4422
4520
464
477
4815
496
73.94% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.45454545454545453
totalSentences110
uniqueOpeners50
35.46% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences94
matches
0"Just a brass slot at"
ratio0.011
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount25
totalSentences94
matches
0"He landed hard on the"
1"She planted one hand on"
2"Her lungs burned with the"
3"She had staked out the"
4"They burst out of the"
5"She kicked through the soggy"
6"He ducked into the mouth"
7"Her worn leather watch ticked"
8"They saw grief."
9"She saw a syndicate that"
10"She vaulted the rusted turnstiles"
11"It didn't smell like London"
12"He reached into his coat"
13"He kept his fingers buried"
14"Her boots crunched on pulverized"
15"He pulled his hand from"
16"It looked like a slice"
17"He hit the dirt floor"
18"She wedged her shoulder against"
19"Her hand went to the"
ratio0.266
61.06% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount75
totalSentences94
matches
0"Tomás vaulted the rusted iron"
1"He landed hard on the"
2"Harlow didn't bother with the"
3"She planted one hand on"
4"The impact jarred her knees,"
5"A silver Saint Christopher medallion"
6"Harlow pumped her arms, closing"
7"Her lungs burned with the"
8"She had staked out the"
9"Tonight, she had tailed Herrera"
10"They burst out of the"
11"Puddles splashed beneath their boots,"
12"Shutters covered the tourist traps"
13"Tomás swerved around an overflowing"
14"She kicked through the soggy"
15"A sharp left took them"
16"The smell of stale frying"
17"Tomás glanced back."
18"The streetlamp caught his olive"
19"He ducked into the mouth"
ratio0.798
53.19% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences94
matches
0"If she stepped through, she"
ratio0.011
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences50
technicalSentenceCount3
matches
0"The beam cut through floating dust motes, illuminating peeling posters for West End shows that had closed in the nineties."
1"Stalls made of charred driftwood lined the sunken tracks, manned by figures that were too tall, too thin, or folded at the wrong joints."
2"The blind gatekeeper curled his six fingers around the token, his lipless mouth splitting into a grin that revealed rows of needle-sharp teeth, and dragged her …"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
92.0770%