Run: 2026-09-03-01M1KRM9F5PT5PR0P2B38GF3XQ

Run Details

Duration:
16.4s
Cost:
$0.013663
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 heel of Harlow Quinn's boot struck a puddle, splashing grimy rainwater against the brick wall. Fifty yards ahead, Tomás Herrera scrambled over a padlocked iron gate. Metal rattled in the Camden alleyway. Herrera dropped onto the sodden gravel on the other side, clutching his left arm to his chest. Quinn did not break stride. She planted one foot on the crossbar of the gate, vaulted the sharp spikes, and landed hard in the muck. Her service weapon stayed locked in its holster beneath her trench coat, but her right hand rested firmly against the grip. "Herrera! Metropolitan Police! Stand down!" The Spaniard glanced back over his shoulder. Water dripped from his short curly dark brown hair, plastering the curls against his forehead. The silver chain around his neck caught the dim amber glow of a streetlamp, swinging a Saint Christopher medallion violently across his chest. He turned and sprinted toward the boarded-up entrance of the decommissioned Underground station. Quinn surged after him. Her forty-one years had not dulled her pace, honed by eighteen years on the force and a lifetime of routine discipline. Her sharp jaw clamped shut as she sucked in the cold, wet air. Every instinct she possessed told her that Herrera was not a normal dealer or a back-alley fence. The illegal medical kits found in his flat contained substances that defied standard tox screens. Unregistered serums. Dried plant matter that chemically resembled nothing in the Met's database. Three years ago, her partner, Morris, died in an alley two miles from here with no blood left in his body and no wounds on his flesh. The coroner had signed it off as sudden cardiac arrest. Quinn had never stopped looking for the real answer. Herrera reached the plywood partition blocking the old Tube entrance. Instead of hitting a dead end, he slipped his fingers beneath a pry mark in the wood, yanked the panel back, and vanished into the pitch-black descent. Quinn reached the gap three seconds later. She flicked on her tactical torch with her left thumb, the beam cutting through a cloud of disturbed dust and mildew. The narrow concrete stairs plunged steeply into the earth, slick with damp moss and decades of accumulated soot. The beam picked out wet boot prints leading down. Quinn tapped the worn leather watch on her left wrist, clicked her radio receiver, and spoke clearly into the collar mic. "Sierra-Four to dispatch. Suspect pursued into the disused Camden spur off the Northern line. Entering subterranean structure on foot." Static hissed back through the earpiece. The concrete and depth severed the frequency instantly. Dead air. She drew her Glock 17, leveled the barrel toward the dark staircase, and started down. The temperature plummeted with every step. The sound of London traffic faded into a muffled thud above, replaced by a low, rhythmic hum that vibrated through the soles of her boots. It sounded like an electrical transformer, but smelled of burning cedar, pungent ozone, and rotten copper. At the bottom of the stairwell, the service tunnel opened into an expansive, vaulted junction. Old Victorian brickwork curved into enormous archways, illuminated not by industrial work lights, but by sputtering iron braziers and pale green lanterns suspended from overhead cables. Quinn stepped into the shadow of an alcove, keeping her weapon lowered against her thigh. Dozens of people moved through the cavernous platform. Stallholders leaned over makeshift wooden tables draped in velvet and oilcloth. Glass vials clinked against iron scales. A woman with veiled eyes weighed shimmering blue powder into paper envelopes. A man in a heavy greatcoat displayed rows of curved bone blades, each etched with geometric runes that made Quinn's optic nerves ache if she looked at them too long. This was not a squatter den. This was a fully functioning, clandestine bazaar operating beneath the feet of eight million oblivious Londoners. A massive figure stepped out from behind a tiled pillar, blocking the central aisle. The man stood well over six feet, his shoulders broad as an ox, his face concealed beneath a heavy burlap hood. He extended an open, calloused palm. "Token." The bouncer's voice sounded like stones grinding together in a mill. Quinn kept her stance balanced, her weight on the balls of her feet. "Police. Step aside." "No token, no passage past the iron line. Leave your silver, or leave your skin." Quinn took half a step forward, raising her warrant card. "Metropolitan Police. Obstructing an officer is an arrestable offence. Move." The man did not flinch. His fingers curled into fists the size of kettlebells. Behind him, fifty yards deeper into the market, Quinn spotted Herrera. The paramedic was leaning over a low counter, arguing with an alchemist whose stall was packed with rows of dark amber jars. Herrera handed over a small bundle of cash and reached for a wrapped linen package. Quinn did not wait for the bouncer to swing. She feinted left, ducked under the man's reaching arm, and drove the heel of her boot directly into the back of his knee. The joint buckled with a sharp snap. The giant grunted, collapsing onto one knee on the cold flagstones. Quinn pushed past him, her eyes locked on Herrera. The Spaniard grabbed the package and stuffed it into his coat. As he turned, he locked eyes with Quinn. "Tomás Herrera. Hands where I can see them." Herrera did not run this time. He backed against the wooden counter, his hands raised chest-high. The rolled-up left sleeve of his shirt exposed a long, jagged white scar stretching from his wrist to his elbow. "You should not have come down here, Detective." "You violated parole, fled an active crime scene, and entered a restricted transit facility. Put your palms flat on the counter." "This isn't an arrest you can log in the precinct ledger, Quinn. Walk away. Go back to the street while the gatekeeper is still finding his feet." "I am not leaving without you. And you are going to tell me what killed Morris." Herrera's olive face tightened. The warm brown of his eyes shifted toward something darker, colder. "Morris bought something he couldn't afford from the wrong stall. He didn't listen to the warnings, either." "Tell me who sold it to him." "Look around you, Harlow." Herrera tilted his chin toward the shadowy vaulted ceiling. "Everyone here sells death in different measures. Some in vials, some in iron, some in promises." "Save the philosophy for the interview room. Turn around." Quinn unclipped her steel cuffs from her belt. She took one step toward him, her boots crunching on spilled herbs and crushed glass. A sudden, bone-chilling shriek ripped through the market. The braziers flared violently, turning from amber to an acrid, chemical violet. The vendors scrambled, hastily packing glass jars and parchment into iron chests. The crowd surged toward the platform exits in a sudden, frantic wave of panic. "They found the breach," Herrera muttered, his hand dropping toward the pocket of his coat. From the dark mouth of the railway tunnel ahead, three tall, gaunt figures emerged onto the tracks. Their limbs moved with disjointed, unnatural speed, their faces hidden behind polished porcelain masks weeping black resin. Herrera gripped Quinn's forearm with urgent strength. "Run, Detective. Or your gun won't be the only thing that gets buried down here."
created_at"2026-09-03T13:51:42.063Z" 9/3/2026, 1:51:42 PM
model"google/gemini-3.7-flash-20260813"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3017
moderation_latency(null)
generation_time16299
tokens_prompt4484
tokens_completion2299
native_tokens_prompt4507
native_tokens_completion2742
native_tokens_completion_images0
native_tokens_reasoning1155
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"
usage0.01366275
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788443502-JSM2rbIpBBzwnfOQIp8g"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788443502-v51yuVNLQybkZTnnaBh2"
upstream_id"bnuZatbpDPre_uMPi6-ckA4"
provider_responses
0
endpoint_id"dd072012-3274-417d-97e3-e290cba37e31"
id"bnuZatbpDPre_uMPi6-ckA4"
is_byokfalse
latency3017
model_permaslug"google/gemini-3.7-flash-20260813"
provider_name"Google AI Studio"
status200
total_cost0.01366275
cache_discount(null)
upstream_inference_cost0
provider_name"Google AI Studio"
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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
totalTags3
adverbTagCount0
adverbTags(empty)
dialogueSentences18
tagDensity0.167
leniency0.333
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1220
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)
46.72% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1220
totalAiIsms13
found
0
word"firmly"
count1
1
word"standard"
count1
2
word"database"
count1
3
word"flicked"
count1
4
word"structure"
count1
5
word"rhythmic"
count1
6
word"vibrated"
count1
7
word"velvet"
count1
8
word"etched"
count1
9
word"clandestine"
count1
10
word"weight"
count1
11
word"chilling"
count1
12
word"porcelain"
count1
highlights
0"firmly"
1"standard"
2"database"
3"flicked"
4"structure"
5"rhythmic"
6"vibrated"
7"velvet"
8"etched"
9"clandestine"
10"weight"
11"chilling"
12"porcelain"
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
narrationSentences79
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences79
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences94
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen30
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1220
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
66.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions43
wordCount1015
uniqueNames16
maxNameDensity1.58
worstName"Quinn"
maxWindowNameDensity3
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn16
Tomás1
Herrera12
Camden1
Spaniard2
Saint1
Christopher1
Underground1
Met1
Morris1
Tube1
Glock1
London1
Victorian1
Londoners1
persons
0"Harlow"
1"Quinn"
2"Tomás"
3"Herrera"
4"Spaniard"
5"Saint"
6"Christopher"
7"Morris"
places
0"Camden"
1"Met"
2"London"
globalScore0.712
windowScore0.667
81.51% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences73
glossingSentenceCount2
matches
0"sounded like an electrical transformer, bu"
1"sounded like stones grinding together in a"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.82
wordCount1220
matches
0"not by industrial work lights, but by sputtering iron braziers"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences94
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs46
mean26.52
std18.47
cv0.696
sampleLengths
027
123
246
35
458
583
646
737
846
99
1021
1119
1216
1315
1447
1541
1615
1767
1822
1941
2012
2113
223
2315
2420
2562
2659
2719
288
2936
308
3121
3227
3316
3415
3517
367
3729
389
3923
408
4138
4215
4334
447
4515
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences79
matches
0"was packed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs164
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences94
ratio0
matches(empty)
82.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1022
adjectiveStacks3
stackExamples
0"over makeshift wooden tables"
1"long, jagged white scar"
2"sudden, bone-chilling shriek"
adverbCount17
adverbRatio0.016634050880626222
lyAdverbCount11
lyAdverbRatio0.010763209393346379
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences94
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences94
mean12.98
std6.31
cv0.487
sampleLengths
016
111
26
317
45
520
621
75
87
915
1023
1113
124
1321
1413
1517
1615
172
1811
1927
2010
219
2210
2327
247
2521
2618
279
2821
2919
306
318
322
3315
346
3525
3616
3715
3826
3915
408
4111
426
4312
4430
456
4616
4714
4821
496
68.44% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats9
diversityRatio0.46808510638297873
totalSentences94
uniqueOpeners44
43.29% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences77
matches
0"Instead of hitting a dead"
ratio0.013
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount14
totalSentences77
matches
0"She planted one foot on"
1"Her service weapon stayed locked"
2"He turned and sprinted toward"
3"Her forty-one years had not"
4"Her sharp jaw clamped shut"
5"She flicked on her tactical"
6"She drew her Glock 17,"
7"It sounded like an electrical"
8"He extended an open, calloused"
9"His fingers curled into fists"
10"She feinted left, ducked under"
11"He backed against the wooden"
12"She took one step toward"
13"Their limbs moved with disjointed,"
ratio0.182
18.44% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount68
totalSentences77
matches
0"The heel of Harlow Quinn's"
1"Metal rattled in the Camden"
2"Herrera dropped onto the sodden"
3"Quinn did not break stride."
4"She planted one foot on"
5"Her service weapon stayed locked"
6"The Spaniard glanced back over"
7"Water dripped from his short"
8"The silver chain around his"
9"He turned and sprinted toward"
10"Quinn surged after him."
11"Her forty-one years had not"
12"Her sharp jaw clamped shut"
13"Every instinct she possessed told"
14"The illegal medical kits found"
15"The coroner had signed it"
16"Quinn had never stopped looking"
17"Herrera reached the plywood partition"
18"Quinn reached the gap three"
19"She flicked on her tactical"
ratio0.883
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences77
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences49
technicalSentenceCount2
matches
0"The illegal medical kits found in his flat contained substances that defied standard tox screens."
1"The sound of London traffic faded into a muffled thud above, replaced by a low, rhythmic hum that vibrated through the soles of her boots."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags3
uselessAdditionCount1
matches
0"Herrera muttered, his hand dropping toward the pocket of his coat"
94.44% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount1
fancyTags
0"Herrera muttered (mutter)"
dialogueSentences18
tagDensity0.056
leniency0.111
rawRatio1
effectiveRatio0.111
83.3837%