Run: 2026-02-19-01KHTXBVA140MTT06P5BZG9VTE

Run Details

Duration:
1m 12s
Cost:
$0.001538
Provider:
DeepInfra

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
The whiskey glass hit the bar with a dull thud. Aurora Carter didn’t look up from her phone, just nudged it closer with her elbow. The ice hadn’t even melted yet—Silas knew her habits too well. Then the stool beside her creaked. "Still drinking Jameson like it’s water, Rory?" That voice. That fucking voice. Her fingers froze mid-scroll. The screen dimmed. Slowly, she turned. Evan looked like a stranger. The sharp cheekbones she’d once traced with her fingertips were hidden under stubble. His hair, once military-short, curled at his collar. But his eyes—still that unsettling shade of grey-green, still watching her like she was prey. She swallowed the first three responses that came to mind. "You’re not supposed to be in London." "Neither are you." He signalled Silas with two fingers. "Thought you’d be halfway to Dublin by now." Silas set down Evan’s drink without a word. His gaze lingered on Aurora’s left wrist—the crescent scar barely visible under her sleeve. She curled her hand into a fist. "Changed my mind." "Funny." Evan swirled his whiskey. "You used to say indecision was a weakness." "And you used to say loyalty was everything." She let the words hang between them. The bar’s neon sign flickered outside, casting green shadows across his jaw. His knuckles whitened around the glass. "People change." "Not that much." A group of tourists burst through the door, laughing about some West End show. Evan didn’t flinch, but his shoulders tensed—the old tell. Aurora remembered that reflex. The way he’d always positioned himself facing exits, how his hands never stayed still for long. Except now they did. She studied his fingers. No nicotine stains. No split knuckles. Just clean, manicured nails and a silver ring she didn’t recognise. "Married?" She nodded at it. "Engaged." The word hit like a slap. Aurora forced a sip of whiskey. "Congratulations." "Don’t." "Don’t what?" "Act like you care." She laughed—a sharp, brittle sound. "I don’t. Just making conversation." Evan’s gaze dropped to her delivery bag slumped against the bar. "Golden Empress, huh? Still running?" "Still stalking?" "Coincidence." "Bullshit." The tourists had settled at a corner table, their chatter fading into the hum of the bar’s old speakers. Some jazz standard Aurora didn’t know. Evan exhaled through his nose. "Heard about your dad." Her grip tightened. "Don’t." "Just making conversation." Silas appeared like a shadow, refilling her glass without being asked. His signet ring caught the light as he wiped the counter between them—a silent warning. Evan noticed. "Still keeping strays, Si?" Silas didn’t blink. "Still kicking them out." Aurora watched Evan’s jaw twitch. Some things never changed. Then his phone buzzed. He glanced at the screen, and something in his face softened. Aurora hated that she recognised the shift—the same look he’d once given her before dawn raids or bad intel drops. She stood abruptly, slinging her bag over her shoulder. "Tell your fiancée she’s got terrible taste." Evan caught her wrist. The scar burned under his fingers. "You could’ve called." She yanked free. "You could’ve died." The door swung shut behind her before he could reply. Outside, rain slicked the pavement. Aurora didn’t run. She walked fast, turning corners at random, until her breath came in short, sharp gasps. Her phone vibrated. Unknown number. *You left your jacket.* She stared at the message. Then at the crescent scar. Then she deleted it and kept walking. The neon sign of The Raven’s Nest blurred green in the distance. Somewhere behind her, a car door slammed. Aurora didn’t look back.
created_at"2026-02-19T12:18:00.137Z" 2/19/2026, 12:18:00 PM
model"deepseek/deepseek-chat-v3-0324"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1149
moderation_latency(null)
generation_time71705
tokens_prompt4618
tokens_completion1030
native_tokens_prompt4208
native_tokens_completion910
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached64
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"
usage0.00153814
router(null)
provider_responses
0
endpoint_id"820376cb-f110-4d56-ab52-5bd6ca269420"
id"chatcmpl-RsjMFWpfLCwUw6EIYQyvSvJf"
is_byokfalse
latency244
model_permaslug"deepseek/deepseek-chat-v3-0324"
provider_name"DeepInfra"
status200
api_type"completions"
id"gen-1771503480-xAmIE7LczDS1RfF1MIOi"
upstream_id"chatcmpl-RsjMFWpfLCwUw6EIYQyvSvJf"
total_cost0.00153814
cache_discount0.00000416
upstream_inference_cost0
provider_name"DeepInfra"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags4
adverbTagCount0
adverbTags(empty)
dialogueSentences29
tagDensity0.138
leniency0.276
rawRatio0
effectiveRatio0
91.62% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount597
totalAiIsmAdverbs1
found
0
adverb"slowly"
count1
highlights
0"slowly"
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)
66.50% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount597
totalAiIsms4
found
0
word"traced"
count1
1
word"flickered"
count1
2
word"standard"
count1
3
word"vibrated"
count1
highlights
0"traced"
1"flickered"
2"standard"
3"vibrated"
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
narrationSentences66
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences66
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences91
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen21
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords4
totalWords587
ratio0.007
matches
0"You left your jacket."
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
57.02% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions28
wordCount484
uniqueNames8
maxNameDensity1.86
worstName"Evan"
maxWindowNameDensity3
worstWindowName"Evan"
discoveredNames
Carter1
Silas5
Evan9
Aurora9
West1
End1
Raven1
Nest1
persons
0"Carter"
1"Silas"
2"Evan"
3"Aurora"
4"Raven"
5"Nest"
places
0"West"
1"End"
globalScore0.57
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences35
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount587
matches(empty)
93.41% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount2
totalSentences91
matches
0"remembered that reflex"
1"hated that she"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs46
mean12.76
std11.2
cv0.878
sampleLengths
036
16
27
35
410
541
617
717
822
910
1013
1127
128
133
1443
154
1621
175
181
1913
201
212
224
2310
2416
252
261
271
2825
299
304
313
3226
336
347
359
3635
3716
3813
396
4033
415
424
4317
4419
454
94.63% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences66
matches
0"were hidden"
1"being asked"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs85
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount7
semicolonCount0
flaggedSentences7
totalSentences91
ratio0.077
matches
0"The ice hadn’t even melted yet—Silas knew her habits too well."
1"But his eyes—still that unsettling shade of grey-green, still watching her like she was prey."
2"His gaze lingered on Aurora’s left wrist—the crescent scar barely visible under her sleeve."
3"Evan didn’t flinch, but his shoulders tensed—the old tell."
4"She laughed—a sharp, brittle sound."
5"His signet ring caught the light as he wiped the counter between them—a silent warning."
6"Aurora hated that she recognised the shift—the same look he’d once given her before dawn raids or bad intel drops."
96.03% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount494
adjectiveStacks0
stackExamples(empty)
adverbCount22
adverbRatio0.044534412955465584
lyAdverbCount4
lyAdverbRatio0.008097165991902834
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences91
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences91
mean6.45
std4.41
cv0.683
sampleLengths
010
115
211
36
47
52
63
74
83
93
105
1113
128
1315
1410
157
169
178
188
1914
207
213
225
238
2415
2512
266
272
283
2914
309
314
3216
334
344
353
363
3711
385
391
406
416
421
431
442
454
465
475
4811
495
68.86% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.43956043956043955
totalSentences91
uniqueOpeners40
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount7
totalSentences63
matches
0"Then the stool beside her"
1"Slowly, she turned."
2"Just clean, manicured nails and"
3"Then his phone buzzed."
4"Then at the crescent scar."
5"Then she deleted it and"
6"Somewhere behind her, a car"
ratio0.111
93.02% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount20
totalSentences63
matches
0"Her fingers froze mid-scroll."
1"His hair, once military-short, curled"
2"She swallowed the first three"
3"He signalled Silas with two"
4"His gaze lingered on Aurora’s"
5"She curled her hand into"
6"She let the words hang"
7"His knuckles whitened around the"
8"She studied his fingers."
9"She nodded at it"
10"She laughed—a sharp, brittle sound."
11"Her grip tightened."
12"His signet ring caught the"
13"He glanced at the screen,"
14"She stood abruptly, slinging her"
15"She yanked free."
16"She walked fast, turning corners"
17"Her phone vibrated."
18"*You left your jacket.*"
19"She stared at the message."
ratio0.317
55.24% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount51
totalSentences63
matches
0"The whiskey glass hit the"
1"Aurora Carter didn’t look up"
2"The ice hadn’t even melted"
3"That fucking voice."
4"Her fingers froze mid-scroll."
5"The screen dimmed."
6"Evan looked like a stranger."
7"The sharp cheekbones she’d once"
8"His hair, once military-short, curled"
9"She swallowed the first three"
10"He signalled Silas with two"
11"Silas set down Evan’s drink"
12"His gaze lingered on Aurora’s"
13"She curled her hand into"
14"Evan swirled his whiskey"
15"She let the words hang"
16"The bar’s neon sign flickered"
17"His knuckles whitened around the"
18"A group of tourists burst"
19"Evan didn’t flinch, but his"
ratio0.81
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences63
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences21
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags4
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
87.2112%