Run: 2026-02-19-01KHTR46A17HAWEN8W2STV5VWW

Run Details

Duration:
16.9s
Cost:
$0.023040
Provider:
Azure

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
"Rory? Is that you?" The voice cut through the low hum of conversation and clinking glasses, a familiar timbre that sent a shiver down Aurora Carter's spine. She paused, a tray of steaming dumplings balanced expertly in one hand, and turned towards the source. The Raven's Nest was bustling, its dimly lit interior a haven for those seeking solace in anonymity. The walls, adorned with old maps and black-and-white photographs, seemed to lean in, listening to the secrets shared within. The distinctive green neon sign outside cast an eerie glow through the windows, painting the patrons in shades of emerald. Aurora's bright blue eyes met those of a man seated at the bar, his face partially obscured by the shadow of a wide-brimmed hat. Recognition flickered, and she felt a tug of nostalgia mixed with unease. "Evan," she replied, her voice steady despite the sudden rush of memories. Evan stood, his movements fluid and confident, a stark contrast to the awkward boy she remembered. He had changed, that much was clear. His once unruly hair was now neatly styled, and the suit he wore spoke of success and sophistication. Yet, beneath the polished exterior, Aurora sensed the same restless energy that had drawn her to him years ago. "Fancy seeing you here," Evan said, a smile playing on his lips. "I heard you were in London, but I never expected to find you in a place like this." Aurora shrugged, setting the tray down on the bar. "Life takes us to unexpected places," she replied, her tone light but guarded. "What brings you to The Raven's Nest?" Evan gestured to the drink in front of him. "Business meeting. But I suppose fate had other plans." He studied her, his gaze lingering on the small crescent-shaped scar on her left wrist. "You look well, Rory." "Thanks," she said, resisting the urge to cover the scar with her sleeve. "You too." Silas Blackwood, the bar's owner, watched the exchange from his usual spot behind the counter. His hazel eyes, sharp and discerning, missed nothing. He gave Aurora a nod, a silent offer of support should she need it. Evan's attention shifted to Silas, and he extended a hand. "Evan," he introduced himself, his grip firm. "Old friend of Rory's." Silas returned the handshake, his expression unreadable. "Silas Blackwood. Welcome to The Raven's Nest." Evan's gaze swept the room, taking in the eclectic decor. "Interesting place you've got here." "Thank you," Silas replied, his voice carrying the weight of years spent navigating the shadows. "It's home." Aurora felt the tension in the air, a subtle undercurrent that spoke of unspoken regrets and the passage of time. She cleared her throat, drawing Evan's attention back to her. "So, how's life treating you?" Evan leaned against the bar, his posture relaxed. "Can't complain. Work's been good. Keeps me busy." "Still in finance?" Aurora asked, recalling the ambition that had once driven him. "Yes, but I've moved up the ladder a bit," he said with a hint of pride. "And you? What are you up to these days?" Aurora hesitated, the truth a tangled web of half-truths and omissions. "I'm working part-time at a restaurant," she said finally. "And helping out here when I can." Evan raised an eyebrow, curiosity piqued. "A restaurant? That's a bit of a change from law school." "Life takes us to unexpected places," she repeated, a wry smile tugging at her lips. He nodded, accepting her answer without pressing further. "I suppose it does." Silas moved away, giving them space to continue their conversation. Aurora watched him go, grateful for his understanding. She turned back to Evan, searching for the right words to bridge the gap between their past and present. "Do you ever think about Cardiff?" she asked, the question slipping out before she could stop it. Evan's expression softened, a flicker of nostalgia in his eyes. "Sometimes. It feels like a lifetime ago." "It does," Aurora agreed, memories of their shared history surfacing unbidden. "We were so young." "And reckless," Evan added with a chuckle. "Remember that time we snuck into the old theatre?" Aurora laughed, the sound genuine and unguarded. "How could I forget? We thought we were invincible." "Turns out we weren't," Evan said, his tone turning somber. "But we had fun." "Yeah, we did," Aurora said, the weight of unspoken regrets settling between them. "It's good to see you, Evan." "You too, Rory," he replied, sincerity in his voice. "I'm glad you're doing well." They fell into a comfortable silence, the noise of the bar fading into the background. Aurora felt a sense of closure, a chapter of her life finally coming to a gentle end. She glanced at Evan, seeing not the boy she once knew, but the man he had become. "Take care of yourself," she said, a note of finality in her words. "You too," Evan replied, his gaze lingering on her for a moment longer before he turned away. Aurora watched him go, a mixture of relief and melancholy settling in her chest. She picked up the tray, ready to return to her duties, when Silas reappeared at her side. "Old flame?" he asked, his tone teasing but kind. "Something like that," Aurora said, a small smile playing on her lips. Silas nodded, understanding in his eyes. "If you ever need to talk, you know where to find me." "Thanks, Silas," she said, grateful for his presence in her life. As she moved through the bar, Aurora felt a sense of peace. The past was a part of her, but it no longer defined her. She had found her place in the world, and for the first time in a long time, she felt truly at home.
created_at"2026-02-19T10:46:26.378Z" 2/19/2026, 10:46:26 AM
model"openai/gpt-4o-2024-08-06"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1856
moderation_latency(null)
generation_time16864
tokens_prompt4618
tokens_completion1451
native_tokens_prompt4132
native_tokens_completion1271
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"
usage0.02304
router(null)
provider_responses
0
endpoint_id"59ea8d2a-1b1b-47f1-83de-a358a724caeb"
id"chatcmpl-DAvq6UNxUyYUw9gU7IUA97k4IJt22"
is_byokfalse
latency598
model_permaslug"openai/gpt-4o-2024-08-06"
provider_name"Azure"
status200
api_type"completions"
id"gen-1771497986-9x0yjZWJVAdQ7BfdV6Kt"
upstream_id"chatcmpl-DAvq6UNxUyYUw9gU7IUA97k4IJt22"
total_cost0.02304
cache_discount(null)
upstream_inference_cost0
provider_name"Azure"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags22
adverbTagCount1
adverbTags
0"she said finally [finally]"
dialogueSentences45
tagDensity0.489
leniency0.978
rawRatio0.045
effectiveRatio0.044
94.80% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount961
totalAiIsmAdverbs1
found
0
adverb"truly"
count1
highlights
0"truly"
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)
11.55% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount961
totalAiIsms17
found
0
word"familiar"
count1
1
word"solace"
count1
2
word"flickered"
count1
3
word"stark"
count1
4
word"unreadable"
count1
5
word"weight"
count2
6
word"navigating"
count1
7
word"tension"
count1
8
word"unspoken"
count2
9
word"eyebrow"
count1
10
word"flicker"
count1
11
word"comfortable"
count1
12
word"silence"
count1
13
word"sense of"
count2
highlights
0"familiar"
1"solace"
2"flickered"
3"stark"
4"unreadable"
5"weight"
6"navigating"
7"tension"
8"unspoken"
9"eyebrow"
10"flicker"
11"comfortable"
12"silence"
13"sense of"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"sent a shiver through"
count1
highlights
0"sent a shiver down"
84.02% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells3
narrationSentences61
matches
0"felt a tug"
1"d with unease"
2"a flicker of nostalgia"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences61
filterMatches(empty)
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences83
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen27
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords955
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions18
unquotedAttributions0
matches(empty)
33.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions41
wordCount721
uniqueNames7
maxNameDensity2.22
worstName"Aurora"
maxWindowNameDensity4
worstWindowName"Evan"
discoveredNames
Aurora16
Carter1
Raven1
Nest1
Evan14
Silas7
Blackwood1
persons
0"Aurora"
1"Carter"
2"Raven"
3"Evan"
4"Silas"
5"Blackwood"
places(empty)
globalScore0.39
windowScore0.333
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences59
glossingSentenceCount0
matches(empty)
95.29% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords1.047
wordCount955
matches
0"not the boy she once knew, but the man he had become"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences83
matches
0"changed, that much"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs39
mean24.49
std13.63
cv0.557
sampleLengths
044
156
248
360
430
529
637
715
837
921
1014
1115
1217
1335
1416
1513
1625
1727
1817
1915
2012
2137
2217
2317
2415
2516
2616
2714
2819
2914
3049
3113
3217
3331
349
3512
3618
3711
3847
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences61
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs131
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences83
ratio0
matches(empty)
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount726
adjectiveStacks1
stackExamples
0"small crescent-shaped scar"
adverbCount16
adverbRatio0.02203856749311295
lyAdverbCount9
lyAdverbRatio0.012396694214876033
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences83
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences83
mean11.51
std5.35
cv0.465
sampleLengths
027
117
217
319
420
524
612
712
816
97
1018
1119
1212
1318
149
1513
167
179
1824
194
2013
212
2215
238
2414
2510
267
274
287
297
3010
315
3215
332
3420
3510
365
378
388
3913
4016
419
4211
439
447
456
4611
4715
488
494
74.30% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.4819277108433735
totalSentences83
uniqueOpeners40
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences61
matches(empty)
ratio0
56.07% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount25
totalSentences61
matches
0"She paused, a tray of"
1"she replied, her voice steady"
2"He had changed, that much"
3"His once unruly hair was"
4"she replied, her tone light"
5"He studied her, his gaze"
6"she said, resisting the urge"
7"His hazel eyes, sharp and"
8"He gave Aurora a nod,"
9"he introduced himself, his grip"
10"She cleared her throat, drawing"
11"he said with a hint"
12"she said finally"
13"she repeated, a wry smile"
14"He nodded, accepting her answer"
15"She turned back to Evan,"
16"she asked, the question slipping"
17"he replied, sincerity in his"
18"They fell into a comfortable"
19"She glanced at Evan, seeing"
ratio0.41
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount59
totalSentences61
matches
0"The voice cut through the"
1"She paused, a tray of"
2"The Raven's Nest was bustling,"
3"The walls, adorned with old"
4"The distinctive green neon sign"
5"Aurora's bright blue eyes met"
6"Recognition flickered, and she felt"
7"she replied, her voice steady"
8"Evan stood, his movements fluid"
9"He had changed, that much"
10"His once unruly hair was"
11"Evan said, a smile playing"
12"Aurora shrugged, setting the tray"
13"she replied, her tone light"
14"Evan gestured to the drink"
15"He studied her, his gaze"
16"she said, resisting the urge"
17"Silas Blackwood, the bar's owner,"
18"His hazel eyes, sharp and"
19"He gave Aurora a nod,"
ratio0.967
81.97% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences61
matches
0"Yet, beneath the polished exterior,"
ratio0.016
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences27
technicalSentenceCount1
matches
0"Yet, beneath the polished exterior, Aurora sensed the same restless energy that had drawn her to him years ago."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags22
uselessAdditionCount9
matches
0"she replied, her voice steady despite the sudden rush of memories"
1"Evan said, a smile playing on his lips"
2"he introduced, his grip firm"
3"she repeated, a wry smile tugging at her lips"
4"she asked, the question slipping out before she could stop it"
5"Evan said, his tone turning somber"
6"Aurora said, the weight of unspoken regrets settling between them"
7"she said, a note of finality in her words"
8"Aurora said, a small smile playing on her lips"
83.33% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags20
fancyCount3
fancyTags
0"she repeated (repeat)"
1"Aurora agreed (agree)"
2"Evan added (add)"
dialogueSentences45
tagDensity0.444
leniency0.889
rawRatio0.15
effectiveRatio0.133
80.2883%