NC Bench
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Run: 2026-10-08-01M4DA5XATWCMZXBT27JN9HSPQ
Run Details
Model:
Claude Haiku 5.5 (Reasoning, Medium)
Test:
Bad Writing Habits
Scenario:
Literary fiction: old friends reunite
Duration:
14.8s
Cost:
$0.001760
Provider:
Claude Platform on AWS
Evaluation summary
Score
Evaluator
Details Link
100.00%
Adverbs in dialogue tags
(details)
73.72%
AI-ism adverb frequency
(details)
100.00%
AI-ism character names
(details)
100.00%
AI-ism location names
(details)
100.00%
AI-ism word frequency
(details)
100.00%
Cliché density
(details)
100.00%
Emotion telling (show vs. tell)
(details)
100.00%
Filter word density
(details)
100.00%
Gibberish response detection
(details)
100.00%
Markdown formatting overuse
(details)
100.00%
Missing dialogue indicators (quotation marks)
(details)
0.00%
Name drop frequency
(details)
0.00%
Narrator intent-glossing
(details)
100.00%
"Not X but Y" pattern overuse
(details)
62.50%
Overuse of "that" (subordinate clause padding)
(details)
100.00%
Paragraph length variance
(details)
80.78%
Passive voice overuse
(details)
100.00%
Past progressive (was/were + -ing) overuse
(details)
100.00%
Em-dash & semicolon overuse
(details)
100.00%
Purple prose (modifier overload)
(details)
100.00%
Repeated phrase echo
(details)
100.00%
Sentence length variance
(details)
77.08%
Sentence opener variety
(details)
0.00%
Adverb-first sentence starts
(details)
100.00%
Pronoun-first sentence starts
(details)
0.00%
Subject-first sentence starts
(details)
0.00%
Subordinate conjunction sentence starts
(details)
100.00%
Technical jargon density
(details)
75.00%
Useless dialogue additions
(details)
100.00%
Dialogue tag variety (said vs. fancy)
(details)
78.9695%
Overall
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
Messages
Meta
AI
"Aurora Carter, you still owe me a bloody postcard."
Rory's hand stopped on the
tap.
Nobody in London used her
full name
like that, the
way a teacher did when a child had
been caught
with something sharp.
She set the pint glass
down
slowly
, wiped her palms on her apron, and turned.
Eva sat on the third
stool from the end, one elbow on the mahogany, a glass of sparkling water sweating beside her. The auburn had gone.
Her hair was cropped close
to her skull, bleached almost white at the tips, and she wore a charcoal suit that fitted her like a verdict.
The Eva Rory remembered had
chewed her nails to the quick and borrowed everyone's jumpers. "You've cut your hair," Rory said. "You've stopped answering your phone."
Eva tilted her head
. "Fair trade, I'd say."
Rory walked the length of
the bar.
Silas's bar smelled of old
wood, bitter hops and the cloves Silas burned in the back room, and for once the smell didn't settle her.
She stopped across from Eva
and didn't offer a hand. "What are you doing in Soho?" "Looking for you."
Eva turned her water glass
in a slow circle. "Took me four months. You're hard to find for a woman who works in delivery." "Who told you where I work?" "Your mum. Brendan answered the door in Canton and told me to piss off."
A thin smile
. "I liked him more than I expected to." Rory said nothing. Behind her, a bottle clinked against a shelf.
She heard Silas's uneven footstep
on the stairs that led down from the back, the drag of his left leg that he pretended nobody noticed.
Eva's gaze dropped to Rory's
left wrist.
The small crescent scar sat
there, pale against her skin, the same mark they had argued over at nine years old, when Eva swore it looked like a moon and Rory swore it
looked like a bite
. "Still there," Eva said. "Scars don't leave." "No." Eva reached across the bar, slow, the way someone approaches a dog that has bitten before, and rested two fingers on the scar.
Her nail was painted a
colour that
looked like dried blood
. "He never touched you again, did he? After you ran." "Don't." "I'm asking." "You're not asking, Eva. You never asked. You told me to leave Cardiff, you handed me a train ticket and a sofa in Walthamstow, and then you went quiet for three years." Eva withdrew her hand. The fingers curled into a fist, then flattened on the bar again. "I got married." "Congratulations." "He's a barrister. Works in Canary Wharf. Very kind."
Her mouth twisted
. "Very careful. Checks my glass when I go to the loo." Rory's jaw tightened.
She picked up a towel
and rubbed a clean spot on the bar that didn't need it. "Sober," Eva said, nodding at the water. "Nine months. The chip's in my bag, if you want to see it." "I don't need to see it." "No. You never needed anything from me, did you?" The towel stopped moving. Silas reached the foot of the stairs. He paused by the taps, took in the set of Rory's shoulders and the stranger's bleached hair, and his hazel eyes sharpened. He said nothing. He didn't need to. The silver signet ring on his right hand caught the lamplight as he rested it on the counter, and Rory
knew that gesture
: he
was counting
exits. "Your friend is worried about you,"
Eva said, not turning around
. "He's not my friend. He's my landlord." "He's looking at me like I'm a bomb in a handbag." Eva finally swivelled on the stool to face the room. "Tell him to relax. I didn't come to make a scene. I came to tell you something before someone else does." "Then tell me." Eva reached into her jacket. Rory saw the flash of a photograph, the gloss of it, before Eva's thumb pressed it flat against the wood and slid it across the bar.
It showed Evan, grinning on
a balcony in Cardiff Bay, one hand raised to someone out of frame. Under his arm, pressed close, stood a woman with straight shoulder-length black hair, and the face was Rory's, though she had never stood there, never smiled like that for him. "Dated last Tuesday," Eva said. "Four days after he got out." Rory stared at the photograph. The glass of Guinness she had poured for a regular cooled untouched beside her, and from the stairs behind her, Silas said,
very
quietly, "Rory. Upstairs."
created_at
"2026-10-08T08:30:49.705Z"
10/8/2026, 8:30:49 AM
model
"anthropic/claude-haiku-5.5-20261007"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
14509
moderation_latency
(null)
generation_time
14593
tokens_prompt
4445
tokens_completion
1337
native_tokens_prompt
6496
native_tokens_completion
2221
native_tokens_completion_images
(null)
native_tokens_reasoning
708
native_tokens_cached
0
num_media_prompt
(null)
num_input_audio_prompt
(null)
num_media_completion
0
num_search_results
(null)
num_fetches
(null)
web_search_engine
(null)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"end_turn"
service_tier
"default"
usage
0.0017601
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer
(null)
request_id
"req-1791448249-1xMMXhxOGm3wqflrseTY"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1791448249-2ojJhKscyoGmZkzBZ81f"
upstream_id
"msg_011CfpTVt1T35NzotZqnv3um"
provider_responses
0
endpoint_id
"b6cdf493-3a61-441f-a134-e7944fddb980"
id
"msg_011CfpTVt1T35NzotZqnv3um"
is_byok
false
latency
999
model_permaslug
"anthropic/claude-haiku-5.5-20261007"
provider_name
"Claude Platform on AWS"
status
200
total_cost
0.0017601
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Claude Platform on AWS"
response_cache_source_id
(null)
data_region
"global"
workspace_id
"97e315e5-d303-487d-83c1-83180e8a13d4"
Evaluation details
Result
Evaluator
Details
Meta Data
100.00%
Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags
10
adverbTagCount
0
adverbTags
(empty)
dialogueSentences
33
tagDensity
0.303
leniency
0.606
rawRatio
0
effectiveRatio
0
73.72%
AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount
761
totalAiIsmAdverbs
4
found
0
adverb
"slowly"
count
1
1
adverb
"very"
count
3
highlights
0
"slowly"
1
"very"
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)
100.00%
AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount
761
totalAiIsms
0
found
(empty)
highlights
(empty)
100.00%
Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches
0
maxInWindow
0
found
(empty)
highlights
(empty)
100.00%
Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells
0
narrationSentences
43
matches
(empty)
100.00%
Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount
0
hedgeCount
0
narrationSentences
43
filterMatches
(empty)
hedgeMatches
(empty)
100.00%
Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences
64
gibberishSentences
0
adjustedGibberishSentences
0
longSentenceCount
0
runOnParagraphCount
0
giantParagraphCount
0
wordSaladCount
0
repetitionLoopCount
0
controlTokenCount
0
repeatedSegmentCount
0
maxSentenceWordsSeen
37
ratio
0
matches
(empty)
100.00%
Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans
0
markdownWords
0
totalWords
761
ratio
0
matches
(empty)
100.00%
Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions
16
unquotedAttributions
0
matches
(empty)
0.00%
Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions
39
wordCount
524
uniqueNames
8
maxNameDensity
3.05
worstName
"Eva"
maxWindowNameDensity
4.5
worstWindowName
"Eva"
discoveredNames
London
1
Eva
16
Rory
13
Silas
5
Evan
1
Cardiff
1
Bay
1
Guinness
1
persons
0
"Eva"
1
"Rory"
2
"Silas"
3
"Evan"
places
0
"London"
1
"Cardiff"
2
"Bay"
globalScore
0
windowScore
0.167
0.00%
Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences
27
glossingSentenceCount
2
matches
0
"looked like a moon and Rory swore it look"
1
"looked like a bite"
2
"looked like dried blood"
100.00%
"Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches
0
per1kWords
0
wordCount
761
matches
(empty)
62.50%
Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount
2
totalSentences
64
matches
0
"like that, the"
1
"knew that gesture"
100.00%
Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs
35
mean
21.74
std
18.32
cv
0.843
sampleLengths
0
9
1
44
2
67
3
6
4
13
5
42
6
6
7
27
8
6
9
25
10
36
11
44
12
4
13
3
14
45
15
1
16
2
17
32
18
19
19
1
20
23
21
20
22
20
23
6
24
9
25
4
26
63
27
11
28
7
29
42
30
3
31
31
32
48
33
11
34
31
80.78%
Passive voice overuse
Target: ≤2% passive sentences
passiveCount
3
totalSentences
43
matches
0
"been caught"
1
"was cropped"
2
"was painted"
100.00%
Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount
1
totalVerbs
94
matches
0
"was counting"
100.00%
Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount
0
semicolonCount
0
flaggedSentences
0
totalSentences
64
ratio
0
matches
(empty)
100.00%
Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount
525
adjectiveStacks
0
stackExamples
(empty)
adverbCount
17
adverbRatio
0.03238095238095238
lyAdverbCount
3
lyAdverbRatio
0.005714285714285714
100.00%
Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences
64
echoCount
0
echoWords
(empty)
100.00%
Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences
64
mean
11.89
std
8.85
cv
0.744
sampleLengths
0
9
1
6
2
23
3
15
4
22
5
4
6
26
7
15
8
6
9
9
10
4
11
7
12
25
13
10
14
6
15
12
16
15
17
6
18
17
19
8
20
3
21
8
22
25
23
7
24
37
25
4
26
3
27
24
28
11
29
10
30
1
31
2
32
32
33
4
34
12
35
3
36
1
37
12
38
11
39
3
40
17
41
7
42
13
43
6
44
9
45
4
46
7
47
22
48
3
49
4
77.08%
Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats
4
diversityRatio
0.5
totalSentences
64
uniqueOpeners
32
0.00%
Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount
0
totalSentences
40
matches
(empty)
ratio
0
100.00%
Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount
11
totalSentences
40
matches
0
"She set the pint glass"
1
"Her hair was cropped close"
2
"She stopped across from Eva"
3
"She heard Silas's uneven footstep"
4
"Her nail was painted a"
5
"Her mouth twisted"
6
"She picked up a towel"
7
"He paused by the taps,"
8
"He said nothing."
9
"He didn't need to."
10
"It showed Evan, grinning on"
ratio
0.275
0.00%
Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount
38
totalSentences
40
matches
0
"Rory's hand stopped on the"
1
"Nobody in London used her"
2
"She set the pint glass"
3
"Eva sat on the third"
4
"The auburn had gone."
5
"Her hair was cropped close"
6
"The Eva Rory remembered had"
7
"Eva tilted her head"
8
"Rory walked the length of"
9
"Silas's bar smelled of old"
10
"She stopped across from Eva"
11
"Eva turned her water glass"
12
"A thin smile"
13
"Rory said nothing."
14
"She heard Silas's uneven footstep"
15
"Eva's gaze dropped to Rory's"
16
"The small crescent scar sat"
17
"Eva reached across the bar,"
18
"Her nail was painted a"
19
"Eva withdrew her hand."
ratio
0.95
0.00%
Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount
0
totalSentences
40
matches
(empty)
ratio
0
100.00%
Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences
17
technicalSentenceCount
1
matches
0
"Her hair was cropped close to her skull, bleached almost white at the tips, and she wore a charcoal suit that fitted her like a verdict."
75.00%
Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags
10
uselessAdditionCount
1
matches
0
"Eva said, not turning around"
100.00%
Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags
5
fancyCount
0
fancyTags
(empty)
dialogueSentences
33
tagDensity
0.152
leniency
0.303
rawRatio
0
effectiveRatio
0
78.9695%