Run: 2026-09-23-01M36NYYKEVHQ8YWPBJ3GV1VXZ

Run Details

Duration:
22.7s
Cost:
$0.000943
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
“Don’t step on the chalk.” Detective Harlow Quinn stopped with one boot above the white line. Beyond it, a dead man lay on the tiled floor of Camden’s abandoned Tube station, his mouth full of black water. The uniform beside her lowered his torch. “You’re Quinn?” “Depends who’s asking.” “Sergeant Bell. I’m keeping people off the scene. Mostly.” Quinn stepped over the chalk. Her worn leather watch pressed against her wrist as she crouched by the body. The station’s old ticket hall had been stripped of its signs, but its iron railings and cracked green tiles still held a faint Underground smell: dust, wet brick, and the sour tang of a place that had been shut for decades. Someone had lit candles along the platform edge. Their flames bent towards the body though no draught touched Quinn’s cheek. “Name?” she asked. “Unknown. No wallet, no phone. One of the market folk found him and ran.” “Market?” Bell glanced at the sealed tunnel mouth. “They call it the Veil Market. I’ve heard stories. People buying drugs, charms, that sort of rubbish.” Quinn looked at the brass token near the dead man’s fingers. A bone disc, scratched with a hooked symbol. “Rubbish leaves a receipt,” she said. “Bag it.” A second detective ducked beneath the cordon, carrying a paper cup and a folded scene log. DS Patel had a broad face, a neat moustache, and the look of a man who’d already decided what the report would say. “Quinn. We’ve got a straightforward one.” “Those are usually the ones that bite.” “Victim fell from the platform, struck his head, drowned in the flooded service channel. There’s a ladder up there. He must’ve climbed, lost his footing and gone down.” Quinn rose. “The service channel’s dry.” Patel pointed at the black water leaking from the dead man’s mouth. “It isn’t now.” She looked at the body again. The man wore a dark suit with no tie. His shoes were polished, the soles clean. A narrow cut crossed his right palm. No bruising on the knuckles. No scrape marks on his sleeves. “Where’s the channel?” “Behind that maintenance door.” Patel nodded towards a rusted hatch set into the wall. “We found it open.” “Who found it?” “Bell.” Bell lifted a hand. “I didn’t open it. It was like that when we arrived.” Patel sipped his coffee. “There’s a ladder behind it. A drop of about four metres.” “Then why is his hair dry?” Patel lowered the cup. Quinn leaned close to the dead man without touching him. His hair lay in precise, dark waves against his scalp. Not damp. Not even clumped at the temples. The black water on his lips looked thick and oily, but the collar beneath them showed no stain. “Could’ve fallen in and got pulled out,” Patel said. “The witnesses are unreliable.” “Witnesses?” “Market traders. They said the man came through the tunnel and collapsed.” Quinn looked to Bell. “You said one finder.” “I said one came forward.” “How many?” Bell turned the scene log over in his hands. “Three. They won’t give names.” “Did any of them touch him?” “No.” “Did any of them enter by the tunnel?” “They said they used the stairs from the old ticket hall.” “Those stairs are bricked up.” Bell’s mouth tightened. “They came through somewhere.” Quinn stood and surveyed the hall. A row of metal pillars divided the room from the platform. Dust coated their bases, except for a strip near the wall where it had been brushed away. The floor held dozens of footprints, some crisp, some blurred. Most led towards the tunnel mouth. None led from the maintenance hatch to the body. “Show me the ladder,” she said. Patel gave her a patient look. “We’ve already checked it.” “Then it won’t take long.” He led her to the hatch. The hinges groaned as he pulled it open. Cold air slipped out, bringing the smell of standing water and something sweeter, like bruised fruit. Quinn took the torch from Bell and aimed it down. Iron rungs descended into a narrow service shaft. A shallow pool glimmered at the bottom. “Channel,” Patel said. “The body could’ve come up that way.” “Could it?” She lowered the torch. The ladder’s rungs carried a film of orange rust, broken by clean patches where hands had gripped them. The marks began halfway down and stopped two rungs above the water. “Someone climbed up,” she said. “Victim.” “No. His hands are clean.” Patel glanced towards the body. “He could’ve worn gloves.” “No gloves on scene. No fibres in the cut. The clean marks are narrow, and the rust isn’t on them. Whoever climbed wore something over their hands.” “Gloves.” “Could be.” Quinn studied the hatch. Its outer edge showed fresh scratches near the latch, but the dust on the floor below remained smooth. The door had not swung open from inside. Someone had opened it from the hall. “Was the latch tested?” “Not yet.” “Do that. Keep your hands off the inside.” She crouched by the brass token. It lay at the dead man’s fingertips, though there was no soil or rust on his skin. The token carried a sharp smell of iron. Quinn took a clean evidence sleeve from Bell and slid it beneath the disc. The dead man’s index finger twitched. Bell swore and stumbled back. Quinn snatched her hand away. The man’s eyes stayed shut. His chest did not rise. A shudder moved through his jaw, then stopped. Patel raised his radio. “Medical—” “Wait.” A thin thread of black water slipped from the dead man’s mouth and ran uphill across the tile. Bell stared at it. “That’s impossible.” “Not a medical term,” Quinn said. The water stopped against the brass token. It gathered there, a trembling bead, then sank into a groove on the bone disc. Quinn lifted the token with the sleeve. Its hooked symbol had changed. The line now pointed towards the platform. “Tell me you saw that,” Bell said. “I saw water move against gravity.” Patel’s gaze sharpened. “You’re both tired. It’s a slope.” Quinn glanced down the hall. The tiles dipped towards the platform, not away from it. The water had travelled uphill by nearly a metre. “Mark the route,” she told Bell. “No one crosses it.” Patel stepped into her path. “We don’t have time to invent a supernatural explanation.” “I haven’t.” “Good. Then the man fell.” “His shoes are clean. His hair’s dry. His hands show no defensive wounds. The only water sits in his mouth, and it moves towards a bone token that no one can explain.” “Maybe he was poisoned.” “Then find the poison.” She turned away from him and followed the token’s new point. It angled towards the platform and a tiled pillar near the dead man’s shoes. Quinn examined the pillar’s base. A shallow groove cut through the grime, almost invisible unless she knelt. It ran between two tiles and ended at a brass bolt. She pressed the bolt. The pillar gave a small click. Bell drew his baton. Patel reached for Quinn’s shoulder, but she slapped his hand away and pushed the pillar. It slid aside with a grinding groan, exposing a narrow black gap. A breath came from inside. Not air moving through a tunnel. A breath. Close and wet. Patel raised his torch. The beam caught a face beyond the gap, pale as candle wax. A woman stood in the dark with her hands bound in front of her. She wore a red coat soaked to the elbows. A strip of black cloth gagged her mouth. Bell pulled her out. She fought him with such force that he almost lost his grip. Quinn cut the gag free. “Don’t let him take the token,” the woman gasped. Patel’s face had gone still. “Who?” She pointed at the dead man. “No. The other one.” Something struck the maintenance hatch behind them. Once. Twice. The loose brass token shivered in Quinn’s evidence sleeve. The woman seized Quinn’s wrist. “It knows you’ve found the door.” The hatch slammed shut. From inside the wall, a man began to knock. Three measured blows, then Quinn’s name. “Detective Quinn,” he called. “Open up.”
created_at"2026-09-23T08:26:21.687Z" 9/23/2026, 8:26:21 AM
model"openai/gpt-6-luna-20260922"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2217
moderation_latency(null)
generation_time22633
tokens_prompt4492
tokens_completion2159
native_tokens_prompt4157
native_tokens_completion1802
native_tokens_completion_images0
native_tokens_reasoning0
native_tokens_cached4154
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"
usage0.00094284
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790151981-c07hT57sju7Hxw77qQOA"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790151981-xIZixj2LmKydxOE3z7sM"
upstream_id"resp_0f4188f840775257016ab38d2dcb7487d1af37c88c336baeab"
provider_responses
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endpoint_id"05e94e02-b9c2-4bbb-ba55-4082ee9ad687"
id"resp_0f4188f840775257016ab38d2dcb7487d1af37c88c336baeab"
is_byokfalse
latency1313
model_permaslug"openai/gpt-6-luna-20260922"
provider_name"OpenAI"
status200
total_cost0.00094284
cache_discount0.00037386
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
totalTags12
adverbTagCount0
adverbTags(empty)
dialogueSentences74
tagDensity0.162
leniency0.324
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1364
totalAiIsmAdverbs0
found(empty)
highlights(empty)
80.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found
0"Patel"
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
96.33% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1364
totalAiIsms1
found
0
word"measured"
count1
highlights
0"measured"
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
narrationSentences120
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences120
filterMatches
0"watch"
hedgeMatches
0"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences182
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen41
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1364
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions19
unquotedAttributions0
matches(empty)
39.59% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions53
wordCount951
uniqueNames7
maxNameDensity2.21
worstName"Quinn"
maxWindowNameDensity3
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn21
Camden1
Tube1
Underground1
Bell13
Patel15
persons
0"Harlow"
1"Quinn"
2"Camden"
3"Bell"
4"Patel"
places(empty)
globalScore0.396
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences73
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1364
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences182
matches
0"force that he"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs102
mean13.37
std13.97
cv1.044
sampleLengths
05
132
29
33
49
560
620
73
814
91
1024
1119
128
1339
146
157
1628
176
1815
1940
203
2118
223
231
2415
2515
266
274
2846
2913
301
3112
328
335
342
3514
366
371
388
3911
405
417
4259
436
4410
455
4655
4710
482
4934
96.49% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences120
matches
0"been stripped"
1"been shut"
2"were polished"
3"been brushed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs159
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences182
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount951
adjectiveStacks0
stackExamples(empty)
adverbCount22
adverbRatio0.023133543638275498
lyAdverbCount2
lyAdverbRatio0.002103049421661409
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences182
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences182
mean7.49
std5.75
cv0.767
sampleLengths
05
111
221
37
42
53
69
75
814
941
108
1112
123
1314
141
157
1617
1711
188
196
202
2116
2223
236
247
2528
262
274
2812
293
306
319
327
337
345
356
363
3714
384
393
401
414
4211
434
4411
456
464
4710
4810
492
56.23% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.35714285714285715
totalSentences182
uniqueOpeners65
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences106
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount22
totalSentences106
matches
0"Her worn leather watch pressed"
1"Their flames bent towards the"
2"She looked at the body"
3"His shoes were polished, the"
4"His hair lay in precise,"
5"He led her to the"
6"She lowered the torch."
7"Its outer edge showed fresh"
8"She crouched by the brass"
9"It lay at the dead"
10"His chest did not rise."
11"It gathered there, a trembling"
12"Its hooked symbol had changed."
13"she told Bell"
14"She turned away from him"
15"It angled towards the platform"
16"It ran between two tiles"
17"She pressed the bolt."
18"It slid aside with a"
19"She wore a red coat"
ratio0.208
7.17% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount96
totalSentences106
matches
0"Detective Harlow Quinn stopped with"
1"The uniform beside her lowered"
2"Quinn stepped over the chalk."
3"Her worn leather watch pressed"
4"The station’s old ticket hall"
5"Someone had lit candles along"
6"Their flames bent towards the"
7"Bell glanced at the sealed"
8"Quinn looked at the brass"
9"A bone disc, scratched with"
10"A second detective ducked beneath"
11"DS Patel had a broad"
12"Patel pointed at the black"
13"She looked at the body"
14"The man wore a dark"
15"His shoes were polished, the"
16"A narrow cut crossed his"
17"Patel nodded towards a rusted"
18"Bell lifted a hand."
19"Patel sipped his coffee."
ratio0.906
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences106
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences34
technicalSentenceCount1
matches
0"The station’s old ticket hall had been stripped of its signs, but its iron railings and cracked green tiles still held a faint Underground smell: dust, wet bric…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags12
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags11
fancyCount1
fancyTags
0"the woman gasped (gasp)"
dialogueSentences74
tagDensity0.149
leniency0.297
rawRatio0.091
effectiveRatio0.027
85.8604%