Run: 2026-07-25-01KYCWMZM7WFGN8FJMQD562WDF

Run Details

Duration:
12.2s
Cost:
$0.018513
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
The heavy steel fire exit door swung shut, clipping Harlow’s shoulder and sending her spinning onto the slick cobbles of the Soho alleyway. She recovered instantly, her boots striking the wet stone with rhythmic, practiced thuds. Thirty yards ahead, the tall, lean shadow of her suspect sliced through the gloom, heading straight for the green neon glow of lower Dean Street. "Stop right there!" Harlow yelled. Her voice bounced off the damp brick walls. The suspect didn't even flinch. He cleared a stack of wooden crates with an athlete's grace, landing softly on the pavement before veering sharp left. Harlow rounded the corner, her leather watch ticking against her pulse as her lungs burned. Soho at night was a maze of drunk tourists, idling black cabs, and slick alleyways, but this bloke knew every blind spot. He was leading her somewhere specific. He lunged toward a disused building facade. Harlow closed the gap, her hand hovering near her waist. The suspect shoved a heavy wooden door. It gave way with a screech of rusted iron, swallowing him into the shadows. Harlow skidded to a halt outside the entrance. Above the doorway, an abandoned Tube sign hung lopsided, its classic red ring faded to a dull, bruised crimson. Camden’s disused networks. She knew the blueprints for the Northern line, but this entrance wasn't on any official Transport for London map. A sharp, coppery stench drifted up from the dark stairwell. Not sewage. Not stale air. It smelled like warm blood and crushed bay leaves. Her thumb flicked the safety off her standard-issue Glock. Eighteen years on the force taught a cop when to wait for backup, but three years since losing DS Morris in a dark alley just like this taught her something else. Backup didn't save you from the things that hunted in London's underbelly. She took a deep breath, edged past the threshold, and began her descent into the deep dark. The stone steps were worn flat in the centre by thousands of unseen feet. With every ten paces downward, the ambient noise of London traffic faded, replaced by a low, vibrating hum that set Harlow’s back teeth on edge. The air grew warm and thick, clinging to her skin like grease. She reached the bottom of the shaft and stepped out onto an old tiled platform. But there were no tracks, no commuters, no Underground advertisements. Stalls built from driftwood, salvaged brass, and iron scaffolding lined the platform, stretching far into the blackness of the curved tunnel. A crowd thronged the central artery. People in long coats, figures shrouded in heavy velvet, and things that walked like men but moved with a terrifying, fluid stillness. Lanterns filled with trapped, glowing insects flickered overhead, casting sickly yellow light across rows of bottled liquids, strange dried bones, and silver trinkets. The Veil Market. She’d heard the whispers in unredacted files at Scotland Yard, the ones marked with red tape and filed under unsolved disappearances. "Lost, dearie?" A woman with milky, pupilless eyes leaned over a counter stacked with dried herbs and vials of shimmering oil. "Bone token for entry. You know the rules." "Metropolitan Police," Harlow said, her voice hard as granite. She didn't lower her weapon, keeping it pressed against her thigh, hidden by her coat. "I'm looking for a man. Dark coat, six foot, moving fast." The woman cackled, a dry, clicking sound. "The Met has no teeth down here, girl. Watch your back." Harlow pushed past a towering figure draped in heavy burlap that smelled of bog oak and old earth. She scanned the chaotic crowd, her eyes locking onto a familiar dark coat weaving aggressively through the throng near a stall selling polished bone daggers. "Stop!" Harlow pushed through a group of haggling patrons, scattering a jar of iridescent beetle wings across the stone floor. The suspect turned. The yellow lantern light caught the side of his face. Warm brown eyes, olive skin, and a thin, white scar running along his left forearm where his sleeve had hitched up. A silver medallion glinted at his throat. Tomás Herrera. "Detective Quinn," Tomás said, his voice carrying a rich Spanish cadence, remarkably calm for a man who had just sprinted six blocks. "You really shouldn't be down here." "Hands where I can see them, Herrera," Harlow snapped, closing the distance between them to five paces. "You're wanted for questioning in connection with the break-in at the royal apothecary." "I don't have time for this." Tomás stepped back, his eyes darting toward a narrow service tunnel behind a stall hung with heavy tapestries. "People are dying. Real people, Quinn. Not the kind your bloody reports care about." "You lost your medical license two years ago, Tomás. You're operating illegally." "I was saving lives the NHS gave up on!" Tomás snapped, his calm facade cracking to reveal a fierce, desperate light. "I don't steal for profit. I need the ingredients." "Tell it to the judge." Harlow reached into her coat pocket, producing a pair of steel handcuffs. "Turn around." Tomás didn't move. His hand slid into his jacket pocket, his knuckles white. "I wouldn't," Harlow warned, her grip tightening on her sidearm inside her coat. "I'm not in the mood to pull a trigger tonight." "Neither am I," Tomás said softly. "Which is why I brought help." Before Harlow could react, a shadow detached itself from the curved wall of the tunnel behind her. A tall man step forward into the dim light. He carried himself with military precision, his closely cropped salt-and-pepper hair catching the sickly yellow light of the lantern above. Harlow froze. The blood drained from her face, her heart hammering against her ribs so hard it felt like a physical blow. "Morris?" she whispered, her voice choking off. "Hello, Harlow," DS Morris said. His eyes were entirely black, the whites consumed by an oily, shimmering darkness, but his voice was unmistakable. "You always were too stubborn for your own good." "You're dead," Harlow rasped, her hand shaking as she drew her service weapon, her training instantly warring with the impossibility standing in front of her. "I buried you. Three years ago." "You buried a pine box filled with sand, Detective," Tomás said, taking a slow step toward the service tunnel. "Silas kept him alive. Barely. But his core is degrading. I need the ingredients I took tonight to keep his heart beating." "He's not human anymore!" Harlow yelled, her eye pulling between the paramedic and the phantom of her former partner. "He's my friend," Tomás replied coldly. "And he's the only reason you're going to walk out of this market alive tonight." Morris took a heavy step toward Harlow, his boots crushing a fallen bone token on the ground. The hum in the air spiked, high and screeching, rattling the teeth in her jaw. "Lower the gun, Quinn," Morris grunted, his jaw locking as if fighting a physical spasm beneath his skin. "Or I'll have to make you."
created_at"2026-07-25T15:00:12.567Z" 7/25/2026, 3:00:12 PM
model"google/gemini-3.6-flash-20260721"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency755
moderation_latency(null)
generation_time12061
tokens_prompt4484
tokens_completion1773
native_tokens_prompt4507
native_tokens_completion1567
native_tokens_completion_images0
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"STOP"
service_tier"default"
usage0.018513
router(null)
provider_responses
0
endpoint_id"5d6d133d-a953-4781-a835-7ee76f4e1388"
id"fM9kaqi1LM_h_uMPpoT0mQc"
is_byokfalse
latency755
model_permaslug"google/gemini-3.6-flash-20260721"
provider_name"Google AI Studio"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1784991612-TUPiL0392ZWr5fCfbNcD"
session_id(null)
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api_type"completions"
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upstream_id"fM9kaqi1LM_h_uMPpoT0mQc"
total_cost0.018513
cache_discount(null)
upstream_inference_cost0
provider_name"Google AI Studio"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
33.33% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags18
adverbTagCount3
adverbTags
0"Tomás stepped back [back]"
1"Tomás said softly [softly]"
2"Tomás replied coldly [coldly]"
dialogueSentences34
tagDensity0.529
leniency1
rawRatio0.167
effectiveRatio0.167
82.79% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1162
totalAiIsmAdverbs4
found
0
adverb"softly"
count2
1
adverb"really"
count1
2
adverb"coldly"
count1
highlights
0"softly"
1"really"
2"coldly"
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)
48.36% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1162
totalAiIsms12
found
0
word"rhythmic"
count1
1
word"gloom"
count1
2
word"pulse"
count1
3
word"facade"
count2
4
word"flicked"
count1
5
word"standard"
count1
6
word"velvet"
count1
7
word"flickered"
count1
8
word"scanned"
count1
9
word"chaotic"
count1
10
word"familiar"
count1
highlights
0"rhythmic"
1"gloom"
2"pulse"
3"facade"
4"flicked"
5"standard"
6"velvet"
7"flickered"
8"scanned"
9"chaotic"
10"familiar"
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
narrationSentences73
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences73
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences89
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen31
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1162
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions11
unquotedAttributions0
matches(empty)
50.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions47
wordCount935
uniqueNames18
maxNameDensity1.82
worstName"Harlow"
maxWindowNameDensity3.5
worstWindowName"Harlow"
discoveredNames
Harlow17
Soho2
Dean1
Street1
Tube1
Northern1
Transport1
London3
Glock1
Morris4
Underground1
Veil1
Market1
Scotland1
Yard1
Herrera1
Spanish1
Tomás8
persons
0"Harlow"
1"Morris"
2"Herrera"
3"Tomás"
places
0"Soho"
1"Dean"
2"Street"
3"London"
4"Scotland"
globalScore0.591
windowScore0.5
25.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences60
glossingSentenceCount3
matches
0"smelled like warm blood and crushed bay le"
1"felt like a physical blow"
2"as if fighting a physical spasm beneath his skin"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1162
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences89
matches(empty)
96.20% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs40
mean29.05
std14.14
cv0.487
sampleLengths
023
138
25
333
443
538
649
724
852
917
1051
1125
1272
1324
1429
1535
1618
1743
1820
1941
202
2128
2230
2338
2412
2530
2619
2713
2823
2912
3046
3122
327
3332
3431
3541
3619
3721
3832
3924
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences73
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs156
matches
0"was leading"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences89
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount938
adjectiveStacks0
stackExamples(empty)
adverbCount20
adverbRatio0.021321961620469083
lyAdverbCount13
lyAdverbRatio0.013859275053304905
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences89
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences89
mean13.06
std7
cv0.536
sampleLengths
023
113
225
35
48
55
620
715
822
96
107
1110
127
1314
148
1519
163
1719
1810
192
203
219
229
2331
2412
2517
2614
2725
2812
2915
3010
3121
326
3322
3423
353
3621
3721
388
399
4015
4111
427
4311
4418
4525
4620
473
4810
4921
67.79% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.4606741573033708
totalSentences89
uniqueOpeners41
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences69
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount18
totalSentences69
matches
0"She recovered instantly, her boots"
1"Her voice bounced off the"
2"He cleared a stack of"
3"He was leading her somewhere"
4"He lunged toward a disused"
5"It gave way with a"
6"She knew the blueprints for"
7"It smelled like warm blood"
8"Her thumb flicked the safety"
9"She took a deep breath,"
10"She reached the bottom of"
11"She’d heard the whispers in"
12"She didn't lower her weapon,"
13"She scanned the chaotic crowd,"
14"His hand slid into his"
15"He carried himself with military"
16"she whispered, her voice choking"
17"His eyes were entirely black,"
ratio0.261
17.97% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount61
totalSentences69
matches
0"The heavy steel fire exit"
1"She recovered instantly, her boots"
2"Her voice bounced off the"
3"The suspect didn't even flinch."
4"He cleared a stack of"
5"Harlow rounded the corner, her"
6"Soho at night was a"
7"He was leading her somewhere"
8"He lunged toward a disused"
9"Harlow closed the gap, her"
10"The suspect shoved a heavy"
11"It gave way with a"
12"Harlow skidded to a halt"
13"Camden’s disused networks."
14"She knew the blueprints for"
15"A sharp, coppery stench drifted"
16"It smelled like warm blood"
17"Her thumb flicked the safety"
18"Backup didn't save you from"
19"She took a deep breath,"
ratio0.884
72.46% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences69
matches
0"Before Harlow could react, a"
ratio0.014
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences36
technicalSentenceCount2
matches
0"People in long coats, figures shrouded in heavy velvet, and things that walked like men but moved with a terrifying, fluid stillness."
1"She scanned the chaotic crowd, her eyes locking onto a familiar dark coat weaving aggressively through the throng near a stall selling polished bone daggers."
13.89% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags18
uselessAdditionCount4
matches
0"Harlow said, her voice hard as granite"
1"Tomás snapped, his calm facade cracking to reveal a fierce, desperate light"
2"Harlow warned, her grip tightening on her sidearm inside her coat"
3"she whispered, her voice choking off"
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags13
fancyCount7
fancyTags
0"Harlow yelled (yell)"
1"Harlow snapped (snap)"
2"Tomás snapped (snap)"
3"Harlow warned (warn)"
4"she whispered (whisper)"
5"Harlow yelled (yell)"
6"Morris grunted (grunt)"
dialogueSentences34
tagDensity0.382
leniency0.765
rawRatio0.538
effectiveRatio0.412
76.9266%