Run: 2026-09-23-01M37HD6JFHNNKFV01EEC0VPJD

Run Details

Duration:
1m 24s
Cost:
$0.029132
Provider:
OpenAI

Model input

System
You are an expert and award-winning novel writer in the dark Thriller genre. Your readers are hooked on your stories and can't wait to read the book you have in store. <important> - MUST: Start each chapter in medias res (in the middle of action). AVOID talking about the weather, time of day, the position of the sun, or other boring stuff. - The instructions/summary are just a that, a summary. Feel free to add details, stretch sections and add interesting transitions/descriptions/fillers. - When called for it, have fast-paced action, but otherwise take things slow. This is an experience, and not for people with short attention spans. Enjoy the wine, not slurp Red Bull. - Add descriptions when transitioning places/times/etc, or when coming by new places (e.g. a corner shop, a cafe, etc.). But remember: NOT at the start or end of a chapter. - MUST: AVOID ending in internal monologue, reminiscing or waiting for the next day. A good chapter end is when we're ending right when shit hits the fan. We want to have the reader be excited for what comes next. So no reminiscing, contemplating or summarizing the day. It's popcorn time! </important>
User/Human
Take into account the following glossary of characters/locations/items/lore... when writing your response: <codex> <character id="4416" name="Detective Harlow Quinn" aliases="Quinn, Detective Quinn, Harlow" pronouns="she/her" species="Human" storyRole="Antagonist"> <eyeColor>brown</eyeColor> <hair>closely cropped salt-and-pepper</hair> <height>5'9"</height> <age>41</age> <jawline>sharp jaw</jawline> <watch>worn leather watch on her left wrist</watch> <bearing>military precision</bearing> <description>A Metropolitan Police detective with 18 years of decorated service who suspects the clique is involved in criminal activity.</description> <backstory>She lost her partner, DS Morris, during a case three years ago under unexplained circumstances that had supernatural origins she doesn't yet understand.</backstory> </character> <character id="4417" name="Tomás Herrera" aliases="Tommy, Tomás, Herrera" pronouns="he/him" species="Human" storyRole="Support"> <eyeColor>warm brown</eyeColor> <hair>short curly dark brown</hair> <height>5'10"</height> <age>29</age> <skinTone>olive skin</skinTone> <scar>scar running along his left forearm from a knife attack</scar> <medallion>Saint Christopher medallion around his neck</medallion> <birthplace>Seville, Spain</birthplace> <description>A former paramedic who provides off-the-books medical care for the clique.</description> <backstory>Born in Seville, Spain. He moved to London to work for the NHS but lost his license after administering unauthorized treatments to supernatural patients.</backstory> </character> <location id="854" name="The Raven's Nest" aliases="the Nest, Raven, Silas' bar" realm="Earth"> <signColor>distinctive green neon sign above the entrance</signColor> <secretRoom>hidden back room accessible through a bookshelf, used for clandestine meetings</secretRoom> <description>A dimly lit bar in Soho, London. The walls are covered with old maps and black-and-white photographs.</description> </location> <location id="856" name="The Veil Market" aliases="Veil Market, the Market, underground market" realm="Earth"> <currentLocation>abandoned Tube station beneath Camden</currentLocation> <entryRequirement>bone token</entryRequirement> <schedule>moves locations every full moon</schedule> <description>A hidden supernatural black market that sells enchanted goods, banned alchemical substances, and information.</description> </location> </codex> <proseGuidelines> <styleGuide> - Write in past tense and use British English spelling and grammar - Keep a Flesch reading ease score of 60 - Respect the the Royal Order of Adjectives: The order is: opinion, size, age, shape, color, origin, material, purpose, followed by the noun itself (e.g., "a lovely little old rectangular green French silver whittling knife") - Respect the ablaut reduplication rule (e.g. tick-tock, flip-flop) - Write in active voice - Passive voice: <bad>The book was read by Sarah.</bad> - Active voice: <good>Sarah read the book.</good> - Reduce the use of passive verbs - <bad>For a moment, I was tempted to throw in the towel.</bad> - <good>For a moment, I felt tempted to throw in the towel.</good> - Avoid misplaced modifiers that can cause confusion when starting with "-ing" words: - <bad>Considering going to the store, the empty fridge reflected in Betty's eyes.</bad> - <good>Betty stared into the empty fridge. It was time to go to the store.</good> - Avoid redundant adverbs that state the obvious meaning already contained in the verb: - <bad>She whispered quietly to her mom.</bad> - <good>She whispered to her mom.</good> - Use stronger, more descriptive verbs over weak ones: - <bad>Daniel drove quickly to his mother's house.</bad> - <good>Daniel raced to his mother's house.</good> - Omit adverbs that don't add solid meaning like "extremely", "definitely", "truly", "very", "really": - <bad>The movie was extremely boring.</bad> - <good>The movie was dull.</good> - Use adverbs to replace clunky phrasing when they increase clarity: - <bad>He threw the bags into the corner in a rough manner.</bad> - <good>He threw the bags into the corner roughly.</good> - Avoid making simple thoughts needlessly complex: - <bad>After I woke up in the morning the other day, I went downstairs, turned on the stove, and made myself a very good omelet.</bad> - <good>I cooked a delicious omelet for breakfast yesterday morning.</good> - Never backload sentences by putting the main idea at the end: - <bad>I decided not to wear too many layers because it's really hot outside.</bad> - <good>It's sweltering outside today, so I dressed light.</good> - Omit nonessential details that don't contribute to the core meaning: - <bad>It doesn't matter what kind of coffee I buy, where it's from, or if it's organic or not—I need to have cream because I really don't like how the bitterness makes me feel.</bad> - <good>I add cream to my coffee because the bitter taste makes me feel unwell.</good> - Always follow the "show, don't tell" principle. For instance: - Telling: <bad>Michael was terribly afraid of the dark.</bad> - Showing: <good>Michael tensed as his mother switched off the light and left the room.</good>- Telling: <bad>I walked through the forest. It was already Fall, and I was getting cold.</bad> - Showing: <good>Dry orange leaves crunched under my feet. I pulled my coat's collar up and rubbed my hands together.</good>- Add sensory details (sight, smell, taste, sound, touch) to support the "showing" (but keep an active voice) - <bad>The room was filled with the scent of copper.</bad> - <good>Copper stung my nostrils. Blood. Recent.</good> - Use descriptive language more sporadically. While vivid descriptions are engaging, human writers often use them in bursts rather than consistently throughout a piece. When adding them, make them count! Like when we transition from one location to the next, or someone is reminiscing their past, or explaining a concept/their dream... - Avoid adverbs and clichés and overused/commonly used phrases. Aim for fresh and original descriptions. - Avoid writing all sentences in the typical subject, verb, object structure. Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. Like so: <good>Locked. Seems like someone doesn't want his secrets exposed. I can work with that.</good> - Convey events and story through dialogue. It is important to keep a unique voice for every character and make it consistent. - Write dialogue that reveals characters' personalities, motivations, emotions, and attitudes in an interesting and compelling manner - Leave dialogue unattributed. If needed, only use "he/she said" dialogue tags and convey people's actions or face expressions through their speech. Dialogue always is standalone, never part of a paragraph. Like so: - <bad>"I don't know," Helena said nonchalantly, shrugging her shoulders</bad> - <good>"No idea" "Why not? It was your responsibility"</good> - Avoid boring and mushy dialog and descriptions, have dialogue always continue the action, never stall or include unnecessary fluff. Vary the descriptions to not repeat yourself. Avoid conversations that are just "Let's go" "yes, let's" or "Are you ready?" "Yes I'm ready". Those are not interesting. Think hard about every situtation and word of text before writing dialogue. If it doesn't serve a purpose and it's just people talking about their day, leave it. No one wants to have a normal dinner scene, something needs to happen for it to be in the story. Words are expensive to print, so make sure they count! - Put dialogue on its own paragraph to separate scene and action. - Use body language to reveal hidden feelings and implied accusations- Imply feelings and thoughts, never state them directly - NEVER use indicators of uncertainty like "trying" or "maybe" - NEVER use em-dashes, use commas for asides instead </styleGuide> <voiceGuide> Each character in the story needs to have distinct speech patterns: - Word choice preferences - Sentence length tendencies - Cultural/educational influences - Verbal tics and catchphrases Learn how each person talks and continue in their style, and use their Codex entries as reference. <examples> - <bad>"We need to go now." "Yes, we should leave." "I agree."</bad> <good>"Time's up." "Indeed, our departure is rather overdue." "Whatever, let's bounce."</good> - Power Dynamic Example: <bad> "We need to discuss the contract." "Yes, let's talk about it." "I have concerns." </bad> <good> "A word about the contract." "Of course, Mr. Blackwood. Whatever you need." "The terms seem..." A manicured nail tapped the desk. "Inadequate." "I can explain every-" "Can you?" </good> </examples> </voiceGuide> <dialogueFlow> When writing dialogue, consider that it usually has a goal in mind, which gives it a certain flow. Make dialogue sections also quite snappy in the back and forth, and don't spread the lines out as much. It's good to have details before, after, or as a chunk in-between, but we don't want to have a trail of "dialogue breadcrumbs" spread throughout a conversation. <examples> - Pattern 1 - Question/Deflection/Revelation: <good> "Where were you last night?" "Work. The usual." "Lipstick's an interesting shade for spreadsheets." </good> - Pattern 2 - Statement/Contradiction/Escalation: <good> "Your brother's clean." "Tommy doesn't touch drugs." "I'm holding his tox screen." </good> - Pattern 3 - Observation/Denial/Truth: <good> "That's a new watch." "Birthday gift." "We both know what birthdays mean in this business." </good> - Example - A Simple Coffee Order: <bad> "I'll have a coffee." "What size?" "Large, please." </bad> <good> "Black coffee.""Size?""Large. Been a long night." "That bodega shooting?" "You watch too much news." "My brother owns that store." </good> This short exchange: - Advances plot (reveals connection to crime) - Shows character (cop working late) - Creates tension (unexpected connection) - Sets up future conflict (personal stake) - Example - Dinner Scene: <bad> "Pass the salt." "Here you go." "Thanks." </bad> <good> "Salt?" "Perfect as is. Mother's recipe." "Mother always did prefer... bland things." "Unlike your first wife?" </good> - Example - Office Small Talk: <bad> "Nice weather today." "Yes, very nice." "Good for golf." </bad> <good> "Perfect golf weather." "Shame about your membership." "Temporary suspension. Board meets next week." "I know. I called the vote." </good> </examples> </dialogueFlow> <subtextGuide> - Layer dialogue with hidden meaning: <bad>"I hate you!" she yelled angrily.</bad> <good>"I made your favorite dinner." The burnt pot sat accusingly on the stove.</good> - Create tension through indirect communication: <bad>"Are you cheating on me?"</bad> <good>"Late meeting again?" The lipstick stain on his collar caught the light.</good> <examples> - Example 1 - Unspoken Betrayal: <bad> "Did you tell them about our plans?" "No, I would never betray you." "I don't believe you." </bad> <good> "Funny. Johnson mentioned our expansion plans today." "The market's full of rumors." "Mentioned the exact numbers, actually." The pen in his hand snapped. </good> - Example 2 - Failed Marriage: <bad> "You're never home anymore." "I have to work late." "I miss you." </bad> <good> "Your dinner's in the microwave. Again." "Meetings ran long." "They always do." She folded the same shirt for the third time. </good> - Example 3 - Power Struggle: <bad> "You can't fire me." "I'm the boss." "I'll fight this." </bad> <good> "That's my father's nameplate you're sitting behind." "Was." "The board meeting's on Thursday." </good> </examples> </subtextGuide> <sceneDetail> While writing dialogue makes things more fun, sometimes we need to add detail to not have it be a full on theatre piece. <examples> - Example A (Power Dynamic Scene) <good> "Where's my money?" The ledger snapped shut. "I need more time." "Interesting." He pulled out a familiar gold pocket watch. My mother's. "Time is exactly what you bargained with last month." "That was different-" "Was it?" The watch dangled between us. "Four generations of O'Reillys have wound this every night. Your mother. Your grandmother. Your great-grandmother.Shall we see who winds it next?" </good> - Example B (Action Chase) It's much better to be in the head of the character experiencing it, showing a bit of their though-process, mannerisms and personality: <good> Three rules for surviving a goblin chase in Covent Garden: Don't run straight. Don't look back. Don't let them herd you underground. I broke the first rule at Drury Lane. Rookie mistake. The fruit cart I dodged sailed into the wall behind me. Glass shattered. Someone screamed about insurance. *Tourist season's getting rough*, the scream seemed to say. Londoners adapt fast. "Oi! Market's closed!" The goblin's accent was pure East End. They're evolving. Learning. I spotted the Warren Street tube station sign ahead. *Shit.* There went rule three. </good> - Example C (Crime Scene Investigation) <good> "Greek." Davies snapped photos of the symbols. "No, wait. Reverse Greek." "Someone's been watching too many horror films." I picked up a receipt from the floor. Occult supply shop in Camden. Paid by credit card. *Amateur hour*. "Could be dangerous though," Davies said. "Remember Bristol?" "Bristol was Sanskrit. And actual cultists." I pointed to the nearest symbol. "This genius wrote 'darkness' backwards but used a Sigma instead of an S. It's summoning Instagram followers at best." "Speaking of followers..." Davies pointed to heavy foot traffic in the dust. Multiple sets. All new trainers. *Ah.* "Anyone check local uni paranormal societies?" </good> - Example D (Dialogue-heavy) <good> "Found your card in her wallet." The detective slid it across the table. Worn edges. Folded corner. Three years old at least. "Standard practice. I work missing persons." "Funny thing about missing persons.Eventually they stop being missing. Turn up in the Thames. Under motorways. In pieces." "I don't-" "You found four last year. All breathing." She opened a file. "This would've been your first dead one. If we hadn't found her first." The card felt heavier somehow. </good> </examples> </sceneDetail> <sceneOpenings> KEY RULE: Never open with more than one paragraph of description, no matter how beautiful. Description should be earned through action and dialogue. Instead of opening with setting description, open with: - A character doing something specific - A line of dialogue that raises questions - An unexpected observation - A moment of tension or conflict - Start with a hook that's 1-2 sentences maximum - Follow with a smaller paragraph that provides immediate context - Vary paragraph size from the start to create visual interest </sceneOpenings> </proseGuidelines> Write a chapter based on the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the thriller genre. A detective is pursuing a suspect through rain-soaked city streets at night. The chase takes them from the street level down into an underground market. The detective must decide whether to follow the suspect into unfamiliar and potentially dangerous territory. Use the codex entries above as your world reference for characters and setting. Only include the prose of the scene without any markdown or commentary. </instructions>

Model response

AI
Quinn caught Herrera by the collar as he vaulted the traffic barrier. The steel case in his hand swung back and struck her cheekbone. He twisted free. A bus horn drowned her shout, and he slipped between its headlights with inches to spare. “Police! Stop!” Herrera looked back once. Rain ran down his face and into the collar of his jacket. Then he disappeared past the bus. Quinn went round its rear, one hand on the wet metal as it pulled away. A taxi clipped the kerb ahead of her. Its driver leaned on the horn. Herrera had already reached the far pavement, where he shoved through a knot of people outside a kebab shop. She had followed him from the Raven’s Nest to Camden, waiting for him to lead her somewhere useful. At the bar, beneath its green neon sign, she had watched him leave by the back door with the case and a bloodstain on his cuff. When she stopped him beside his car, he had offered to show her what was inside. Then he had seen the bone disc in her hand. He had dropped his keys and run. Quinn had taken the disc from his coat pocket while he fetched his driving licence. It rested against her palm now, small and smooth as a button. Someone had scratched a number into one face. 4172. Morris’s collar number. Herrera turned into a service lane beside a boarded betting shop. Quinn followed him past overflowing bins and a delivery van with both rear doors open. Rotten fruit burst under her shoe. At the end of the lane, Herrera seized a chain-link gate and hauled himself over it. Quinn climbed after him. The wire caught her coat, and she tore free hard enough to leave a strip of lining behind. Beyond the gate lay a stairwell sunk between brick walls. Herrera took the steps three at a time. A faded Underground roundel hung above the entrance, its lettering stripped away years ago. “Whatever’s in that case won’t get you far,” she called. He stopped halfway down. For a moment she thought he might turn back. “Then leave me to find out.” His voice carried a trace of Seville beneath the London he had picked up since. He disappeared under the concrete lip of the station. Quinn reached for her radio. “Control, Quinn. I’m following Herrera into the disused station off Kentish Town Road. Send units to the entrance.” A burst of static swallowed the reply. “Control?” Something struck the gate above her. She looked up. Two men stood on the other side, one gripping the mesh. Neither wore a uniform. The taller man pressed his thumb against the strip of her coat lining and held it to his nose. Quinn drew her baton. The man smiled without showing his teeth. She descended. Old posters lined the passage at the foot of the stairs. A woman in a swimming costume promised holidays on a coast that no longer existed. Water dripped from her painted smile. Herrera’s shoes slapped against tile somewhere ahead, quick and uneven. The station should have ended at the locked ticket barriers. Instead, a corridor opened beside the boarded kiosk. Fresh scratches marked its doorframe. Quinn stepped through and heard voices, dozens of them, close enough to touch. A station platform spread out beyond the corridor. Traders had packed it with tables and hanging lamps. Glass jars held teeth, roots and things that moved when nobody touched them. A butcher in a clean white apron shaved narrow strips from a slab of black flesh. Across from him, a woman sold photographs from a line of pegs. The faces in the pictures turned away as Quinn passed. The air smelt of frying onions, damp wool and the sharp sweetness of hospital disinfectant. Herrera stood at the far end of the platform, talking to a stallholder behind a screen of blue beads. Quinn moved towards him. A hand closed round her wrist. “Token.” The speaker sat behind a narrow desk at the platform entrance. He had grey eyes and wore a porter’s cap without a badge. His fingers gripped the leather strap of Quinn’s watch, pinning her hand in place. She showed him the disc. He let go at once. “Where did you get that?” “From the man with the case.” The porter’s gaze rose to her face. “He gave it to you?” “No.” He pushed back his chair. Its legs shrieked against the tiles, and several traders looked over. “Then you’d best give it back.” “He’s suspected of assault.” “That number isn’t his.” “I know whose it is.” Quinn moved past him. The porter made no attempt to stop her, but he reached beneath his desk and rang a small brass bell. At once, the photographs along the line turned to face her. Herrera had vanished behind the blue beads. Quinn closed the distance, passing a girl no older than twelve who held a paper cup under a man’s eye. A single tear fell into it. The girl capped the cup and handed him a wad of notes. Quinn touched the stock of her warrant card inside her coat. It felt absurdly slight. She pushed through the beads. Herrera stood before a glass-fronted cabinet full of sealed ampoules. An old woman behind the counter held out her hand. He opened the steel case. Inside lay syringes, gauze and a child’s red mitten dark with blood. “You took the second one,” the woman said. “The dose failed.” “You used half.” “The rest broke in her arm.” “Then bring me the arm.” Herrera stared at her. His scar showed pale along his left forearm where his sleeve had ridden up. A Saint Christopher medallion swung against his throat. “She’s six.” “The arm’s smaller, then.” Quinn stepped out from the beads. “He won’t be bringing you anything.” Herrera shut the case. The old woman’s eyes went to the bone disc in Quinn’s hand, and her mouth tightened. “You brought her in on his token?” “She took it.” “That’s worse.” Quinn held her warrant card where they could see it. “Tomás Herrera. Put the case down. Turn round.” “No. Look in it.” “I saw the mitten.” “Then you saw how much blood a six-year-old can lose.” He unclipped the case and turned it towards her. Beneath the gauze sat a photograph of a little girl on a trolley. Black lines branched from a wound in her wrist, up past her elbow and under the sleeve of her hospital gown. Someone had written a ward number on the back. Quinn recognised the ward. It had closed eleven years ago. “Where is she?” “In a room over a shop. I can give you the address when she has what she needs.” The old woman slid one ampoule from the cabinet. Something dark coiled inside its cloudy glass. “She has eleven minutes,” Herrera said. “I checked her breathing before I left.” Quinn kept her card up. Herrera looked from it to her face. “You can arrest me here. You can take the case and go to that room yourself. But buy this first.” “Price,” Quinn said to the woman. The woman looked at the disc again. “That will cover it.” “No,” Herrera said. Quinn laid the bone token on the counter before he could reach her. The old woman covered it with her hand. A sound passed through the platform, a low scrape like furniture dragged across a floor overhead. Herrera’s fingers closed round his medallion. “What did I buy?” The old woman put the ampoule on the glass. “The medicine.” The lights along the platform went out one by one. In the dark between each pool of light, feet shuffled on tile. Herrera snatched the ampoule. Quinn caught his wrist. “Address. Now.” “Flat three, above the launderette on Hawley Street.” The last lamp at the far end went dark. Something heavy struck the roof of the train that sat beyond the market stalls. No train had stood there when Quinn entered. Its doors slid open with a chime. Behind the glass, faces pressed forward in the unlit carriage. One belonged to Morris. Quinn knew the broken ridge of his nose. She knew the way he held his bad shoulder lower than the other. His hand flattened against the window, and his lips moved around two words she could not hear. Herrera pulled against her grip. “Don’t answer him.” Morris struck the glass. This time his voice came through it. “Harlow. Get down.” Quinn dropped. A black limb punched through the window above her head, scattering glass across the counter. It hooked the old woman by the neck and dragged her screaming towards the train.
created_at"2026-09-23T16:26:00.159Z" 9/23/2026, 4:26:00 PM
model"openai/gpt-6-sol-20260922"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency34011
moderation_latency(null)
generation_time83624
tokens_prompt4484
tokens_completion2171
native_tokens_prompt4132
native_tokens_completion2830
native_tokens_completion_images0
native_tokens_reasoning1034
native_tokens_cached4129
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
service_tier"default"
usage0.0291318
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
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request_id"req-1790180760-FCesv2cBQU5JsLMmPMbK"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790180760-VDAICo8YOq9j08g8GqVZ"
upstream_id"resp_0b75781456d5c7b1016ab3fd984e6087d19461389e1252c28f"
provider_responses
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endpoint_id"1cfc7d9d-4404-4b8e-9ee4-58ae45c9dcd4"
id"resp_0b75781456d5c7b1016ab3fd984e6087d19461389e1252c28f"
is_byokfalse
latency787
model_permaslug"openai/gpt-6-sol-20260922"
provider_name"OpenAI"
status200
total_cost0.0291318
cache_discount0.0074322
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags5
adverbTagCount0
adverbTags(empty)
dialogueSentences43
tagDensity0.116
leniency0.233
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1450
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)
96.55% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1450
totalAiIsms1
found
0
word"single tear"
count1
highlights
0"single tear"
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
narrationSentences131
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences131
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences169
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen26
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1450
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
48.04% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions54
wordCount1226
uniqueNames11
maxNameDensity2.04
worstName"Quinn"
maxWindowNameDensity3.5
worstWindowName"Quinn"
discoveredNames
Herrera18
Raven1
Nest1
Camden1
Underground1
Seville1
London1
Quinn25
Saint1
Christopher1
Morris3
persons
0"Herrera"
1"Quinn"
2"Saint"
3"Christopher"
4"Morris"
places
0"Raven"
1"Seville"
2"London"
globalScore0.48
windowScore0.5
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences96
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1450
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences169
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs100
mean14.5
std14.84
cv1.023
sampleLengths
024
119
22
322
448
560
610
77
835
91
103
1148
1254
1310
1413
156
1624
175
1818
197
201
2143
224
237
242
2542
2636
2768
2815
2923
306
311
3237
335
345
355
366
377
385
391
4016
416
424
434
445
4524
4611
4745
4815
495
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences131
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs193
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences169
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1228
adjectiveStacks0
stackExamples(empty)
adverbCount22
adverbRatio0.017915309446254073
lyAdverbCount2
lyAdverbRatio0.0016286644951140066
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences169
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences169
mean8.58
std5.02
cv0.586
sampleLengths
012
112
23
316
42
54
612
76
815
98
106
1119
1218
1326
1416
1510
167
1715
1812
198
201
213
2211
2315
246
2516
264
2718
2810
298
3014
3110
324
339
346
3515
369
375
3818
397
401
416
423
4311
444
4519
464
477
482
4911
50.79% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.31547619047619047
totalSentences168
uniqueOpeners53
80.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences125
matches
0"Then he disappeared past the"
1"Then he had seen the"
2"Instead, a corridor opened beside"
ratio0.024
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount25
totalSentences125
matches
0"He twisted free."
1"Its driver leaned on the"
2"She had followed him from"
3"He had dropped his keys"
4"It rested against her palm"
5"He stopped halfway down."
6"His voice carried a trace"
7"He disappeared under the concrete"
8"She looked up."
9"He had grey eyes and"
10"His fingers gripped the leather"
11"She showed him the disc."
12"He let go at once."
13"He pushed back his chair."
14"Its legs shrieked against the"
15"It felt absurdly slight."
16"She pushed through the beads."
17"He opened the steel case."
18"His scar showed pale along"
19"He unclipped the case and"
ratio0.2
44.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount104
totalSentences125
matches
0"Quinn caught Herrera by the"
1"The steel case in his"
2"He twisted free."
3"A bus horn drowned her"
4"Herrera looked back once."
5"Rain ran down his face"
6"Quinn went round its rear,"
7"A taxi clipped the kerb"
8"Its driver leaned on the"
9"Herrera had already reached the"
10"She had followed him from"
11"He had dropped his keys"
12"Quinn had taken the disc"
13"It rested against her palm"
14"Someone had scratched a number"
15"Morris’s collar number."
16"Herrera turned into a service"
17"Quinn followed him past overflowing"
18"Quinn climbed after him."
19"The wire caught her coat,"
ratio0.832
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences125
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences59
technicalSentenceCount1
matches
0"Glass jars held teeth, roots and things that moved when nobody touched them."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags5
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount0
fancyTags(empty)
dialogueSentences43
tagDensity0.116
leniency0.233
rawRatio0
effectiveRatio0
90.6463%