Run: 2026-09-23-01M37HFX8YGN0FC1N00GE5EGYS

Run Details

Duration:
1m 3s
Cost:
$0.041271
Provider:
OpenAI

Model input

System
You are an expert and award-winning novel writer in the dark Mystery 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="4414" name="Eva Kowalski" aliases="Eva, Evie" pronouns="she/her" species="Human" storyRole="Best Friend"> <eyeColor>green</eyeColor> <hair>curly red</hair> <height>5'4"</height> <age>26</age> <glasses>round glasses</glasses> <satchel>worn leather satchel full of books</satchel> <freckles>freckled complexion</freckles> <nervousHabit>tucking hair behind her left ear</nervousHabit> <description>Aurora's childhood friend and an occult researcher.</description> <backstory>Moved to London two years before Aurora and works as a research assistant at the British Museum's restricted archives. She holds a master's degree in Ancient History from Oxford.</backstory> </character> <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> <item id="2004" name="Veil Compass" aliases="the Compass, shadow compass" type="Tool" origin="The Veil Market"> <casingMaterial>small brass compass</casingMaterial> <faceMarkings>face etched with protective sigils</faceMarkings> <needle>points toward the nearest supernatural rift or portal</needle> <patina>casing has a patina of verdigris</patina> <creator>crafted by a Shade artisan</creator> <description>A compass attuned to supernatural energy.</description> </item> </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 mystery genre. A detective arrives at a crime scene in an unusual location. Something is wrong — the evidence doesn't add up. A colleague is present, offering a different interpretation. Through careful observation and deduction, the detective begins to see what others have missed. 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 the dead man’s wrist before his hand slipped over the platform edge. His fingers had locked around a small white disc. Below them, the track bed lay six feet down, its rails buried under rubbish and a fine coat of dust. She eased his hand back onto his chest without prising the disc free. “Tell me no one moved him.” “No one touched him after I got here.” Detective Sergeant Shah stood beside the old route map, arms folded. “The two lads who found him say they didn’t, either.” “They called it in?” “One did. The other ran.” Quinn looked at the dead man’s coat. A dark stain spread across the front, but the fabric had no cut in it. She lifted one lapel with a gloved finger. Blood marked the shirt beneath. “Where are the lads?” “Upstairs with a constable. They came down the service stairs on a dare.” Shah glanced towards the black tunnel. “This place is meant to be sealed.” Quinn followed her glance. The abandoned station beneath Camden had kept most of its tiles, though soot filled the grout and damp had peeled the advertisements into strips. Beyond the strip of light from their scene lamps, the tunnel swallowed the platform whole. A painted WAY OUT arrow pointed at a brick wall. A uniformed officer guarded the stairwell. Beside him stood a short woman with curly red hair and round glasses. She held a worn leather satchel against her hip. “Who’s that?” “Eva Kowalski. Museum researcher. She came through the cordon ten minutes after us and said we were standing in a dangerous place.” “I said you’d brought too many people down,” Eva said. The officer shifted in front of her. Eva stopped, but she did not look at him. Her gaze stayed on the disc in the dead man’s fist. Quinn knelt. The man lay half on his side, with one knee bent under him. Someone had stripped the labels from his coat and cut the brand tab out of his trousers. His left shoe had lost a lace; the right still wore both, tied in a tight double knot. “Name?” “No wallet. No phone. Fingerprints are on their way.” “What’s your reading?” Shah came nearer. “Knife wound to the chest. He stumbled out of the tunnel, made it this far and fell. Whoever did it took his things and went back the way they came.” “Through a sealed tunnel.” “These lads got through a sealed stairwell. Locks aren’t what they used to be.” Quinn studied the man’s right hand. Brown grit clung beneath the nails, but his knuckles bore no cuts. The white disc in his other fist had a hole near its edge. Bone, not plastic. A cord had worn a shallow groove through it. “You said he stumbled.” “Look at his knee.” A black smear marked the trouser leg. Shah pointed out two more on the tiles behind him, each less distinct than the last. They formed a path from the tunnel mouth. Quinn placed her torch close to the first mark. Dust lay in it. She checked the second, then the smear on his knee. “He didn’t leave those.” Shah crouched. “The pattern matches.” “Someone dragged his knee across all three. Look at the dust. Nothing crossed the first smear after it dried, not even his shoe. He arrived here later.” Shah studied the marks again. “Or he crawled, died, and someone dragged him back.” “That’s worth checking.” Quinn put two fingers against the dead man’s jaw and turned his face towards the lamp. A thin red line ran from the corner of his mouth towards his ear. More blood had dried beneath the collar at the back of his neck. “The wound bled while he lay on his back,” she said. “Then someone dressed him and laid him on his side.” Shah pulled the coat open. The shirt had a narrow puncture just left of the breastbone. She looked from the hole to the unbroken coat. “Christ. I missed that.” “So did whoever dressed him.” From the stairwell, Eva said, “Did you find the compass?” Quinn looked up. Eva had pressed past the officer. He caught her elbow before she reached the body. “What compass?” Eva tucked a curl behind her left ear. “He bought one.” “You knew him.” “I saw him buy it.” “Where?” Eva looked at Shah, then at the officer gripping her arm. “Beneath this station.” Shah let out a breath. “There’s our witness. Ask her who stuck him.” “Not here,” Eva said. “Not on this side.” Quinn stood. “Take your hand off her, Constable. Miss Kowalski, come closer. Keep clear of the marks.” Eva picked her way along the platform. Her satchel knocked against her leg. Up close, Quinn saw a fine scratch across one lens of her glasses and dried blood on the cuff of her cardigan. “Whose blood?” Eva pulled the cuff back from view. “I touched him when I found him.” “The boys found him.” “They saw the body first. I reached it first.” Shah looked towards the stairs. “That’s not what they told me.” “They were frightened.” “They were specific.” Eva said nothing. Quinn opened the dead man’s coat. A hard lump sat inside its lining, sewn in near the hem. She cut two stitches with a scalpel from the scene kit and worked out a small brass compass. Verdigris crusted the hinge. Protective sigils crowded its face around a needle that pointed towards the tiled wall opposite the tracks. Eva’s expression tightened. “That’s it.” “Is it yours?” “No.” “You said he bought it. From whom?” “A Shade artisan.” Shah turned the compass in Quinn’s hand so its needle faced the tunnel. It swung straight back towards the wall. “Strong magnet behind those tiles,” Shah said. “Old station equipment.” “There’s no equipment behind that wall,” Eva said. “You’ve got plans?” “No.” Quinn walked three paces towards the tunnel. The needle held steady, angled back across the platform. She returned to the body. It still pointed at the wall, but now a little farther to the left. It followed one place, not a direction. She handed the compass to Shah and crossed to the tiles. An advertisement for a brand of soap covered part of the wall. The woman in the poster smiled through a tear that ran across her throat. Quinn touched the paper. Dry at the edges, damp at the centre. Shah joined her. “I’ll get someone to check for a service hatch.” Quinn pressed her palm flat against the poster. Something knocked once beneath it. Shah heard it. Her hand went to her radio. “Control, send the other unit down.” Static answered. Eva took a step back. “Put the token down.” Quinn looked over her shoulder. “What does it open?” “An entrance. He shouldn’t have brought it out.” “He didn’t bring it anywhere,” Shah said. “Someone carried him.” Eva stared at the corpse. Quinn saw her eyes settle on his shoes. “What?” Quinn asked. “He went in wearing brown boots.” Quinn glanced at the black shoes, one with a missing lace. “Describe him.” “Grey coat. Brown boots. A scar through his right eyebrow.” Eva swallowed. “He asked for a way to find someone.” Quinn crossed back to the body and lifted the man’s fringe. No scar cut the brow. The skin there looked smooth, apart from a small patch where the hair had rubbed away. “This isn’t your customer.” “I know his face.” “Faces can resemble each other.” “He had that face when he bought the compass.” Shah held up her torch. Quinn turned the dead man’s head towards it. A pale seam showed beneath his ear. At first it looked like a crease left by a tight collar. She drew back the shirt. The seam curved down his neck and vanished under the fabric. Tiny dark knots sat in it at regular intervals. Stitches. Shah came to her side. “Pathologist needs to see that.” Quinn traced the line without touching it. Fine brown grit had gathered along its edge, the same grit that filled the man’s nails. She checked his other ear. Another seam. “His clothes have been changed,” Quinn said. “That much we know.” Eva backed against the route map. “Leave his face alone.” The corpse’s left hand opened. The bone token struck the tiles and spun towards the platform edge. Quinn caught it beneath her shoe. Behind her, the wall knocked again. This time something scraped along the other side, tile after tile, keeping pace with Shah as she moved towards Eva. Shah stopped. “Everyone upstairs. Now.” The officer came off the stairwell and reached for Eva. She pulled free of him. “The token,” she said. “Don’t take it to the wall.” Quinn bent to retrieve it. The disc felt warm through her glove. One side bore a shallow cut in the shape of an eye. On the other, someone had scratched seven short lines. A voice crackled from Shah’s radio. “Quinn.” Shah stared at the handset. “Control?” “Quinn. Step away from the wall.” Quinn knew the voice. Three years had not worn its rough edge out of her hearing. “Morris?” The radio spat static. Beneath it came three quick knocks. Their old signal at doors, back when Morris took the hinge side and left her the lock. Shah seized Quinn’s arm. “Who is that?” The corpse sat up. Its head turned towards them. The seam beneath its ear split, and a second mouth opened in the side of its neck. “Wrong door,” it said. Across the platform, every tile beneath the soap advertisement cracked at once.
created_at"2026-09-23T16:27:28.936Z" 9/23/2026, 4:27:28 PM
model"openai/gpt-6-sol-20260922"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency23355
moderation_latency(null)
generation_time62497
tokens_prompt4492
tokens_completion2468
native_tokens_prompt4157
native_tokens_completion3088
native_tokens_completion_images0
native_tokens_reasoning1034
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
service_tier"default"
usage0.041271
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provider_responses
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Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags14
adverbTagCount0
adverbTags(empty)
dialogueSentences85
tagDensity0.165
leniency0.329
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1602
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)
93.76% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1602
totalAiIsms2
found
0
word"eyebrow"
count1
1
word"traced"
count1
highlights
0"eyebrow"
1"traced"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"let out a breath"
count1
highlights
0"let out a breath"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences139
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences139
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences210
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
totalWords1602
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions19
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions71
wordCount1120
uniqueNames6
maxNameDensity2.41
worstName"Quinn"
maxWindowNameDensity5
worstWindowName"Eva"
discoveredNames
Sergeant1
Shah23
Quinn27
Camden1
Eva18
Morris1
persons
0"Sergeant"
1"Shah"
2"Quinn"
3"Camden"
4"Eva"
5"Morris"
places(empty)
globalScore0.295
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences85
glossingSentenceCount1
matches
0"looked like a crease left by a tight coll"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1602
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences210
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs120
mean13.35
std13.55
cv1.015
sampleLengths
014
142
26
329
44
55
635
74
826
953
1028
112
1222
1310
1427
1550
161
179
183
193
2030
214
2214
2343
244
254
2631
2723
284
295
3027
3114
323
3343
3421
3525
364
375
3810
3918
402
4111
423
435
441
4511
463
4713
488
4917
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences139
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs184
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount1
flaggedSentences1
totalSentences210
ratio0.005
matches
0"His left shoe had lost a lace; the right still wore both, tied in a tight double knot."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1120
adjectiveStacks0
stackExamples(empty)
adverbCount19
adverbRatio0.016964285714285713
lyAdverbCount1
lyAdverbRatio0.0008928571428571428
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences210
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences210
mean7.63
std5.16
cv0.677
sampleLengths
014
19
220
313
46
519
610
74
85
97
1015
118
125
134
1419
157
164
1724
1815
1910
206
2113
229
232
2422
2510
267
279
2811
292
3013
3117
3218
331
349
353
363
3730
384
3914
406
4112
4213
433
449
454
464
477
4816
498
59.05% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.37142857142857144
totalSentences210
uniqueOpeners78
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences121
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount23
totalSentences121
matches
0"His fingers had locked around"
1"She eased his hand back"
2"She lifted one lapel with"
3"She held a worn leather"
4"Her gaze stayed on the"
5"His left shoe had lost"
6"They formed a path from"
7"She checked the second, then"
8"She looked from the hole"
9"He caught her elbow before"
10"Her satchel knocked against her"
11"She cut two stitches with"
12"It swung straight back towards"
13"She returned to the body."
14"It still pointed at the"
15"It followed one place, not"
16"She handed the compass to"
17"Her hand went to her"
18"She drew back the shirt."
19"She checked his other ear."
ratio0.19
38.51% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount102
totalSentences121
matches
0"Quinn caught the dead man’s"
1"His fingers had locked around"
2"She eased his hand back"
3"Detective Sergeant Shah stood beside"
4"Quinn looked at the dead"
5"A dark stain spread across"
6"She lifted one lapel with"
7"Blood marked the shirt beneath."
8"Shah glanced towards the black"
9"Quinn followed her glance."
10"The abandoned station beneath Camden"
11"A painted WAY OUT arrow"
12"A uniformed officer guarded the"
13"She held a worn leather"
14"The officer shifted in front"
15"Eva stopped, but she did"
16"Her gaze stayed on the"
17"The man lay half on"
18"Someone had stripped the labels"
19"His left shoe had lost"
ratio0.843
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences121
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences44
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags14
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags11
fancyCount0
fancyTags(empty)
dialogueSentences85
tagDensity0.129
leniency0.259
rawRatio0
effectiveRatio0
86.3773%