Run: 2026-02-19-01KHTREBXFY03KZTS7YMH3S4RR

Run Details

Duration:
45.1s
Cost:
$0.002365
Provider:
Novita

Model input

System
You are an expert and award-winning novel writer in the dark Literary Fiction 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="4412" name="Aurora Carter" aliases="Rory, Laila, Aurora, Carter, Malphora" pronouns="she/her" species="Human" storyRole="Protagonist"> <eyeColor>bright blue</eyeColor> <hair>straight shoulder-length black</hair> <height>5'6"</height> <age>25</age> <scar>small crescent-shaped scar on her left wrist from a childhood accident</scar> <description>Aurora, referred to by her friends as Rory, is cool-headed, intelligent, and known for quick out-of-the-box thinking.</description> <backstory>Born in Cardiff to an Irish barrister father (Brendan Carter) and Welsh teacher mother (Jennifer Carter née Ellis), Rory reluctantly pursued Pre-Law at Cardiff University. She fled to London at the behest of her childhood friend Eva after leaving an abusive ex named Evan. By day, Rory works part-time as a delivery person for Yu-Fei Cheung's Golden Empress restaurant. She lives in a flat above Silas' bar.</backstory> </character> <character id="4413" name="Silas Blackwood" aliases="Silas, Si, the Spymaster" pronouns="he/him" species="Human" storyRole="Mentor"> <eyeColor>hazel</eyeColor> <hair>grey-streaked auburn</hair> <height>6'1"</height> <age>58</age> <beard>neatly trimmed, matching his grey-streaked auburn hair</beard> <limp>slight limp in his left leg from an old knee injury</limp> <signetRing>silver signet ring, always worn on his right hand</signetRing> <description>Silas is a retired intelligence operative turned bar owner. He carries himself with quiet authority.</description> <backstory>Former MI6 field agent who retired after a botched operation in Prague left him with a permanent knee injury. He opened "The Raven's Nest" bar in Soho as a front for his network of contacts.</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> </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 literary fiction genre. Two old friends who haven't seen each other in years run into each other unexpectedly at a bar. One of them has changed significantly. Through their conversation and the tension between who they were and who they've become, reveal the weight of time and unspoken regret. 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
Aurora's fingers tightened around the glass as the bar door swung open, releasing a gust of cold air and the sound of distant sirens. She glanced up, her bright blue eyes locking onto the familiar figure of a woman she hadn't seen in years. "Eva?" The name slipped out before she could stop it. Eva's gaze flickered with surprise before settling into a cool, appraising look. "Rory. Small world, isn't it?" The last time they'd met, Eva had been the one to call Aurora to London, pulling her away from an abusive ex and a life she didn't want. Now, Eva stood in front of her, changed. Her hair, once a wild tangle of curls, was now a sleek bob. Her eyes, always bright with a mischievous sparkle, were guarded. Aurora stood, feeling the eyes of the other patrons on her. "What are you doing here?" Eva's lips curled into a thin smile. "Same as you, I suppose. Drinking away the evening. And you?" "Working. Part-time at the restaurant above Silas' bar." Aurora nodded towards the back. "He's still running the Nest?" Eva's eyes followed her gaze. "Silas. The Spymaster. I heard he retired from MI6 and opened this place as a front. Quite the career change." Aurora sipped her drink, the bitter taste of the whisky mingling with the memories of her past. "He's a good man. Takes care of his regulars." Eva's gaze hardened. "Funny, I always thought he was a bit of a handler. Hasn't changed, I see." Aurora bristled. "What's that supposed to mean?" Eva's smile faltered, a flicker of something that might have been regret crossing her face. "Nothing. Just an old opinion." Silas approached them, his grey-streaked auburn hair neatly trimmed, a silver signet ring gleaming on his right hand. "Evening, ladies. Что, соскучились без меня?" Eva's eyes widened for a moment before she recovered. "Russian, Silas? You never cease to surprise." Silas chuckled, a sound that carried a hint of his past. "I have many languages, Eva. Drinks?" Eva glanced at Aurora, who nodded. "Another whisky for me," Aurora said. "Tequila for me," Eva replied, her voice steady. Silas disappeared into the back, the bookshelf swinging shut behind him, leaving the two women alone at the bar. The tension between them was palpable, like a thread that had been pulled taut. "You look... good," Aurora said, the words feeling inadequate. Eva's smile was brittle. "Thanks. You too." She drummed her fingers on the bar, the rhythm of her nails a nervous tic. "So, you're living above the bar now?" "Sort of. I work at the Golden Empress during the day. Delivery, mostly. It pays the bills." "And you?" Eva’s tone was casual, but her eyes betrayed her curiosity. "Consulting. Corporate affairs. High-paying, low profile. Perfect for someone who prefers to stay under the radar." Aurora nodded, her mind flashing back to the nights they spent plotting their escape from Cardiff. "You always knew what you wanted." Eva's laugh was sharp. "Not always. But I found my way." The bookshelf swung open again, and Silas returned with their drinks. He placed a shot of tequila in front of Eva and a whisky in front of Aurora. "Anything else?" "Actually," Eva said, her voice low, "I could use a bit of your discretion. Know anyone who might be interested in some... sensitive information?" Silas's expression didn't change, but his eyes flickered with interest. "I might. Depends on what you're selling." Eva leaned closer, her voice a murmur. "Names. Dates. Locations. Information that could make or break a few careers." Silas’s eyes narrowed. "And what do you want in return?" Eva's smile was cold. "A favor. One day. When I need it." Silas considered her for a moment. "Done. But I'll need some proof of what you have." Eva reached into her bag and pulled out a folded piece of paper. She handed it to Silas, who scanned it quickly before slipping it into his pocket. "I'll look into it." "Thanks, Silas." Eva downed her tequila in one go. "Muchas gracias." Silas nodded and retreated to the other end of the bar, leaving Aurora and Eva to their drinks once more. The silence between them was thick, heavy with unspoken words and unfulfilled promises. "Why are you really here, Eva?" Aurora's voice was soft but steady. Eva's eyes flashed. "What do you mean?" "You never come back to London. Not after... what happened." Eva's fingers tightened on the glass. "I have my reasons." Aurora leaned in, her voice low. "I know you, Eva. You don't just drop in for a drink. You have a mission." Eva’s eyes met Aurora's, and for a moment, the old spark of defiance was there. "I have a job to do. It's nothing you need to worry about." Aurora's heart ached with a mix of anger and longing. "Is that all I am to you now? A worry?" Eva’s expression softened, but only slightly. "Rory, you know I didn't-" "Didn't what? Come back? Check on me? I know, Eva. I know." The hurt was a physical pain, a reminder of the years they had spent apart. Aurora took a deep breath, trying to steady herself. "Maybe it's time we both move on." Eva's eyes were a storm of emotions—guilt, regret, and something else, something deeper. "Maybe. But I can't. Not yet." Aurora's heart clenched. "Why not?" Eva's voice was barely above a whisper. "Because I owe you, Rory. I owe you more than I can ever repay." Aurora's throat tightened. "You don't owe me anything. You saved me." Eva shook her head, a strand of hair falling into her eyes. "No, I didn't. I left you behind. I let you deal with the consequences while I ran." Aurora reached out, her hand resting lightly on Eva's. "You did what you had to do. I understand." Eva's eyes filled with tears, but she blinked them away. "No, you don't. You don't understand. I let you down, Rory. And I can't live with that." Aurora's heart ached with the weight of the unspoken words. "Then tell me. Tell me what happened. What you couldn't before." Eva's voice was a whisper, but it carried the weight of years. "I found out about the abuse. I knew it was bad, but I didn't realize how bad. I should have done more. I should have intervened. But I was scared. I was selfish. I let you suffer because I was too afraid to help." Aurora's eyes stung with tears. "You did help. You called me. You brought me here. That was enough." Eva's voice broke. "It wasn't enough. It will never be enough." Aurora squeezed her hand. "It is. For me, it is." Eva's eyes locked onto Aurora's, a silent plea in her gaze. "Can you forgive me?" Aurora's heart ached, but she nodded. "I forgave you a long time ago, Eva. I just needed you to forgive yourself." Eva’s breath hitched, and for a moment, the walls between them crumbled. "Thank you, Rory. Thank you." Aurora felt a weight lift off her shoulders. "It's time to start fresh. Both of us." Eva's smile was fragile but genuine. "Maybe it is." Silas returned, a knowing glint in his eyes. "Everything all right over here?" Aurora nodded. "Just catching up with an old friend." Eva raised her glass. "To new beginnings." Aurora clinked her glass against Eva's. "To new beginnings." As the clinking of glasses echoed through the bar, Aurora felt a sense of closure. The past was a shadow that would always linger, but it didn't have to define them. They had choices to make, paths to forge. And for the first time in years, Aurora felt a flicker of hope. The night stretched out before them, full of possibilities and the promise of a new chapter. As they left the bar, the cold air of the London night wrapped around them, a reminder of the world they were stepping back into. The future was uncertain, but one thing was clear: they were ready to face it together.
created_at"2026-02-19T10:51:59.797Z" 2/19/2026, 10:51:59 AM
model"qwen/qwen-2.5-72b-instruct"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency724
moderation_latency(null)
generation_time45018
tokens_prompt4640
tokens_completion2032
native_tokens_prompt4216
native_tokens_completion1908
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.00236528
router(null)
provider_responses
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endpoint_id"a2a8a9fd-2784-448f-99b8-076fb6e1d8e5"
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is_byokfalse
latency724
model_permaslug"qwen/qwen-2.5-72b-instruct"
provider_name"Novita"
status200
api_type"completions"
id"gen-1771498319-459io8vtSKRGkIu9esPF"
upstream_id"869cf5f7-2b34-4698-81df-70134762eae0"
total_cost0.00236528
cache_discount(null)
upstream_inference_cost0
provider_name"Novita"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags9
adverbTagCount0
adverbTags(empty)
dialogueSentences65
tagDensity0.138
leniency0.277
rawRatio0
effectiveRatio0
81.43% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1346
totalAiIsmAdverbs5
found
0
adverb"quickly"
count1
1
adverb"really"
count1
2
adverb"slightly"
count1
3
adverb"barely above a whisper"
count1
4
adverb"lightly"
count1
highlights
0"quickly"
1"really"
2"slightly"
3"barely above a whisper"
4"lightly"
100.00% AI-ism character names
Target: 0 AI-default names (16 tracked, −20% each)
codexExemptions
0"Blackwood"
found(empty)
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
14.56% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1346
totalAiIsms23
found
0
word"familiar"
count1
1
word"flickered"
count2
2
word"flicker"
count2
3
word"gleaming"
count1
4
word"tension"
count1
5
word"palpable"
count1
6
word"perfect"
count1
7
word"scanned"
count1
8
word"silence"
count1
9
word"unspoken"
count2
10
word"reminder"
count2
11
word"whisper"
count2
12
word"weight"
count2
13
word"carried the weight"
count1
14
word"glint"
count1
15
word"echoed"
count1
16
word"sense of"
count1
highlights
0"familiar"
1"flickered"
2"flicker"
3"gleaming"
4"tension"
5"palpable"
6"perfect"
7"scanned"
8"silence"
9"unspoken"
10"reminder"
11"whisper"
12"weight"
13"carried the weight"
14"glint"
15"echoed"
16"sense of"
66.67% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches3
maxInWindow2
found
0
label"eyes widened/narrowed"
count2
1
label"flicker of emotion"
count1
highlights
0"eyes widened"
1"eyes narrowed"
2"a flicker of hope"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells2
narrationSentences80
matches
0"d with surprise"
1"a flicker of hope"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences80
filterMatches
0"look"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences135
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen44
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1342
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions79
wordCount798
uniqueNames5
maxNameDensity4.51
worstName"Eva"
maxWindowNameDensity7
worstWindowName"Eva"
discoveredNames
Eva36
Aurora30
London2
Silas10
Cardiff1
persons
0"Eva"
1"Aurora"
2"Silas"
places
0"London"
1"Cardiff"
globalScore0
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences61
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1342
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences135
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs68
mean19.74
std11.92
cv0.604
sampleLengths
044
110
217
359
416
518
618
725
826
918
107
1120
1224
1316
1417
1512
168
1733
189
1929
2017
2112
2216
2322
2411
2530
2624
2717
2819
2910
3012
3116
3232
3311
3433
3512
367
3710
3810
3922
4028
4120
4211
4312
4431
4519
465
4721
4811
4929
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences80
matches
0"been pulled"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs139
matches
0"were stepping"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount0
flaggedSentences1
totalSentences135
ratio0.007
matches
0"Eva's eyes were a storm of emotions—guilt, regret, and something else, something deeper."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount800
adjectiveStacks0
stackExamples(empty)
adverbCount19
adverbRatio0.02375
lyAdverbCount6
lyAdverbRatio0.0075
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences135
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences135
mean9.94
std6.13
cv0.617
sampleLengths
024
120
210
312
45
528
68
713
810
911
105
117
1211
1313
145
155
1620
1717
189
193
2015
212
225
2315
245
2518
266
279
287
2911
306
316
326
338
3419
3514
369
374
3818
397
4017
4112
4216
4316
446
454
467
4711
4817
492
56.54% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.34814814814814815
totalSentences135
uniqueOpeners47
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences77
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount7
totalSentences77
matches
0"She glanced up, her bright"
1"Her hair, once a wild"
2"Her eyes, always bright with"
3"She drummed her fingers on"
4"He placed a shot of"
5"She handed it to Silas,"
6"They had choices to make,"
ratio0.091
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount73
totalSentences77
matches
0"Aurora's fingers tightened around the"
1"She glanced up, her bright"
2"The name slipped out before"
3"Eva's gaze flickered with surprise"
4"The last time they'd met,"
5"Her hair, once a wild"
6"Her eyes, always bright with"
7"Aurora stood, feeling the eyes"
8"Eva's lips curled into a"
9"Aurora nodded towards the back"
10"Eva's eyes followed her gaze."
11"Aurora sipped her drink, the"
12"Eva's gaze hardened."
13"Eva's smile faltered, a flicker"
14"Silas approached them, his grey-streaked"
15"Eva's eyes widened for a"
16"Silas chuckled, a sound that"
17"Eva glanced at Aurora, who"
18"Eva replied, her voice steady"
19"Silas disappeared into the back,"
ratio0.948
64.94% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences77
matches
0"Now, Eva stood in front"
ratio0.013
65.64% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences37
technicalSentenceCount4
matches
0"Eva's smile faltered, a flicker of something that might have been regret crossing her face."
1"Silas chuckled, a sound that carried a hint of his past."
2"Aurora nodded, her mind flashing back to the nights they spent plotting their escape from Cardiff."
3"She handed it to Silas, who scanned it quickly before slipping it into his pocket."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags9
uselessAdditionCount4
matches
0"Eva replied, her voice steady"
1"Aurora said, the words feeling inadequate"
2"She drummed, the rhythm of her nails a nervous tic"
3"Eva said, her voice low,"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount0
fancyTags(empty)
dialogueSentences65
tagDensity0.062
leniency0.123
rawRatio0
effectiveRatio0
78.3257%