Run: 2026-07-07-01KWZ4SYH18TYWQE62ZNDRFAVB

Run Details

Duration:
57.9s
Cost:
$0.005673
Provider:
AionLabs

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
Silas slid the glass across the bar. The amber liquid caught the dim light, swirling once before settling. "Slow tonight," he said. I shrugged. "Suits me." The door opened. I didn't look up. A habit from delivery work - never acknowledge the incoming chaos until it announces itself. "Whiskey. Neat." The voice stopped me cold. I knew that cadence. That particular way of clipping the end of each word, as if language was a debt to be settled efficiently. I'd heard it across library tables, across pints in the Students' Union, across the phone line when everything was falling apart and I couldn't answer. Rhys Williams. He hadn't seen me yet. He was studying the whiskey list, squinting at the chalkboard like it held the secrets of the universe. Same habit. Same furrow between his brows. But the hair was grey now, silver at the temples, and the frame that used to be lanky had filled out into something substantial. Silas caught my eye. Raised an eyebrow. I gave a tiny shake of my head and turned back to my drink. Too late. "Rory?" I looked up. Forced a smile that probably looked like a grimace. "Rhys." "Well, fuck me." He crossed the space in three strides, and before I could brace, he'd pulled me into a hug. Old Spice and coffee and something else I couldn't place. Time. Time had a smell. "How long has it been?" He pulled back, hands on my shoulders, studying my face with that same intense focus he used to reserve for exam papers. "Five years?" "Six." I stepped back, reclaiming my personal space. "Almost seven." "Jesus." He pulled out the stool next to mine. "Can I? Or are you waiting for someone?" "No. I mean yes. Sit." He settled, and Silas appeared with his whiskey without being asked. The kind of service that came from decades of reading rooms. "You look-" Rhys started. "Don't." "Fine. I won't." He took a sip. "You're in London then." "Obviously." "And you're- what, working here?" "Above it, actually. I deliver for a Chinese place in Chinatown." "That's- Rory, that's not-" "Don't judge my choices, Rhys. Not tonight." He held up his hands. "I'm not judging. I'm just surprised. You were going to be a barrister. You had the grades, the offers-" "I had a lot of things." I finished my drink. The ice clinked against the glass. Empty. Like the conversation. "Evan came looking for you." The name hit like a slap. I'd been braced for it, but still the impact stole my breath. "He's not going to find me." "He said you vanished. Left your phone, your laptop, everything." "Some things are worth leaving behind." "He's a lawyer now. Corporate. Married someone from Cardiff. Has a kid." "Good for him." The words tasted like ash. Silas refilled my glass without me asking. I nodded my thanks. Rhys watched me, his whiskey forgotten. "I tried to find you, you know." "No, you didn't." "I did." His voice cracked, just slightly. "I called your mum. She said you'd gone. Wouldn't tell me where. Wouldn't tell me anything." "Good." "I was your friend, Rory. We were-" "Were. Past tense. We were a lot of things." "I don't understand what happened." I laughed then. A hollow sound that bounced off the maps on the walls, the old photographs of places that no longer existed. "Yes you do. You just don't want to admit it." "Enlighten me." "Remember the Christmas party. Third year. You brought Sarah, the history girl with the red hair. I brought Evan." "I remember." "You saw his arm around my waist. You saw the way I flinched when he touched me. You saw everything, Rhys, because you're clever and you notice things and you always have." "So why didn't you say something?" "Because you didn't ask." The silence stretched. A glass clinked somewhere. The jukebox switched tracks, something old and bluesy. "I'm sorry," he said finally. "Sorry doesn't fix it." "What would?" "Nothing." I stood. "Nothing fixes it. That's the point. It's done. Over. I survived, and that's more than I thought I'd manage." He caught my wrist. His fingers were warm against the crescent scar. The one that reminded me every day how sharp kitchen knives could be. "Don't go." "I have an early shift." "Rory-" "I'm glad I saw you." I meant it, which surprised me. "But I can't do this. Can't pretend we're the people we used to be. We're not." "No, we're not." He released my wrist. His eyes were wet. "But I miss who you were." "She's gone." I pulled on my jacket. "And she's not coming back." I walked out. The green neon sign above the door flickered as I passed, casting my shadow long across the wet pavement. Behind me, I heard Rhys order another whiskey. I didn't turn around.
created_at"2026-07-07T20:37:40.034Z" 7/7/2026, 8:37:40 PM
model"aion-labs/aion-3.0-mini-20260707"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency972
moderation_latency(null)
generation_time57724
tokens_prompt4618
tokens_completion2323
native_tokens_prompt4208
native_tokens_completion2057
native_tokens_completion_images(null)
native_tokens_reasoning1065
native_tokens_cached293
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
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is_byokfalse
latency972
model_permaslug"aion-labs/aion-3.0-mini-20260707"
provider_name"AionLabs"
status200
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Evaluation details

Result Evaluator Details Meta Data
30.51% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags16
adverbTagCount5
adverbTags
0"He pulled back [back]"
1"I stepped back [back]"
2"The words tasted like [like]"
3"His voice cracked just [just]"
4"he said finally [finally]"
dialogueSentences59
tagDensity0.271
leniency0.542
rawRatio0.313
effectiveRatio0.169
93.82% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount809
totalAiIsmAdverbs1
found
0
adverb"slightly"
count1
highlights
0"slightly"
80.00% AI-ism character names
Target: 0 AI-default names (16 tracked, −20% each)
codexExemptions
0"Blackwood"
found
0"Sarah"
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
81.46% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount809
totalAiIsms3
found
0
word"eyebrow"
count1
1
word"silence"
count1
2
word"flickered"
count1
highlights
0"eyebrow"
1"silence"
2"flickered"
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
narrationSentences64
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences64
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences108
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen32
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords810
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions10
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions11
wordCount457
uniqueNames5
maxNameDensity0.88
worstName"Rhys"
maxWindowNameDensity1.5
worstWindowName"Rhys"
discoveredNames
Rhys4
Williams1
Old1
Spice1
Silas4
persons
0"Rhys"
1"Williams"
2"Silas"
places(empty)
globalScore1
windowScore1
60.71% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences28
glossingSentenceCount1
matches
0"looked like a grimace"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount810
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences108
matches
0"knew that cadence"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs65
mean12.46
std11.58
cv0.929
sampleLengths
018
14
24
322
42
55
649
72
854
921
102
111
1213
1336
1429
1510
1617
175
1822
194
201
2111
221
235
2411
254
267
2724
2820
295
3024
3110
326
3312
348
3517
367
373
3823
391
407
419
425
4333
442
4519
462
4732
486
494
94.30% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences64
matches
0"being asked"
1"been braced"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs85
matches
0"was studying"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount0
flaggedSentences1
totalSentences108
ratio0.009
matches
0"A habit from delivery work - never acknowledge the incoming chaos until it announces itself."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount312
adjectiveStacks0
stackExamples(empty)
adverbCount11
adverbRatio0.035256410256410256
lyAdverbCount3
lyAdverbRatio0.009615384615384616
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences108
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences108
mean7.5
std6.28
cv0.837
sampleLengths
07
111
24
32
42
53
64
715
82
95
104
1120
1225
132
145
1518
162
175
1824
194
203
2114
222
231
243
259
261
2721
2810
291
304
3127
322
338
342
359
368
375
3811
3911
404
411
427
434
441
455
4611
474
487
495
68.21% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.4537037037037037
totalSentences108
uniqueOpeners49
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences55
matches(empty)
ratio0
16.36% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount28
totalSentences55
matches
0"I didn't look up."
1"I knew that cadence."
2"I'd heard it across library"
3"He hadn't seen me yet."
4"He was studying the whiskey"
5"I gave a tiny shake"
6"I looked up."
7"He crossed the space in"
8"He pulled back, hands on"
9"I stepped back, reclaiming my"
10"He pulled out the stool"
11"He settled, and Silas appeared"
12"He took a sip"
13"He held up his hands."
14"I finished my drink"
15"I'd been braced for it,"
16"I nodded my thanks."
17"His voice cracked, just slightly"
18"I laughed then."
19"he said finally"
ratio0.509
23.64% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount48
totalSentences55
matches
0"Silas slid the glass across"
1"The amber liquid caught the"
2"The door opened."
3"I didn't look up."
4"A habit from delivery work"
5"The voice stopped me cold."
6"I knew that cadence."
7"That particular way of clipping"
8"I'd heard it across library"
9"He hadn't seen me yet."
10"He was studying the whiskey"
11"Silas caught my eye."
12"I gave a tiny shake"
13"I looked up."
14"He crossed the space in"
15"Time had a smell."
16"He pulled back, hands on"
17"I stepped back, reclaiming my"
18"He pulled out the stool"
19"He settled, and Silas appeared"
ratio0.873
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences55
matches(empty)
ratio0
0.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences13
technicalSentenceCount3
matches
0"That particular way of clipping the end of each word, as if language was a debt to be settled efficiently."
1"But the hair was grey now, silver at the temples, and the frame that used to be lanky had filled out into something substantial."
2"The kind of service that came from decades of reading rooms."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags16
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount0
fancyTags(empty)
dialogueSentences59
tagDensity0.034
leniency0.068
rawRatio0
effectiveRatio0
78.3003%